Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (2024)

As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsem*nt of, or agreement with, the contents by NLM or the National Institutes of Health.
Learn more: PMC Disclaimer | PMC Copyright Notice

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (1)

Link to Publisher's site

Mol Imaging Biol. 2022; 24(4): 526–536.

Published online 2022 Jan 18. doi:10.1007/s11307-021-01700-2

PMCID: PMC8764889

PMID: 35041149

Author information Article notes Copyright and License information PMC Disclaimer

Abstract

COVID-19 hypoxemic patients although sharing a same etiology (SARS-CoV-2 infection) present themselves quite differently from one another. Patients also respond differently to prescribed medicine and to prone Vs supine bed positions. A severe pulmonary ventilation-perfusion mismatch usually triggers moderate to severe COVID-19 cases. Imaging can aid the physician in assessing severity of COVID-19. Although useful for their portability X-ray and ultrasound serving on the frontline to evaluate lung parenchymal abnormalities are unable to provide information about pulmonary vasculature and blood flow redistribution which is a consequence of hypoxemia in COVID-19. Advanced imaging modalities such as computed tomography, single-photon emission tomography, and electrical impedance tomography use a sharp algorithm visualizing pulmonary ventilation-perfusion mismatch in the abnormal and in the apparently normal parenchyma. Imaging helps to access the severity of infection, lung performance, ventilation-perfusion mismatch, and informs strategies for medical treatment. This review summarizes the capacity of these imaging modalities to assess ventilation-perfusion mismatch in COVID-19. Despite having limitations, these modalities provide vital information on blood volume distribution, pulmonary embolism, pulmonary vasculature and are useful to assess severity of lung disease and effectiveness of treatment in COVID-19 patients.

Key words: COVID-19, CT angiography, HRCT, SPECT-CT, Electrical impedance tomography

Introduction

Pulmonary Ventilation-Perfusion Mismatch in COVID-19

Pulmonary ventilationis the process of air flowing into the lungs during inspiration (inhalation) and out of the lungs during expiration (exhalation). Gas exchange occurs in alveoli, and for effective gas exchange to occur, alveoli must be ventilated and perfused. Ventilation (V) refers to the flow of air into and out of the alveoli, whileperfusion(Q) refers to the flow of blood to alveolar capillaries. These two variables, V and Q, determine oxygen (O2) and carbon dioxide (CO2) levels in the blood. Normal V is 4l/min of air and normal Q is 5l/min of blood. So normal V/Q ratio is 4/5 = 0.8 [1]. The actual values in the human lung vary depending on the position within the lung due to the gravitational effect. A VQ mismatch is the term used when the ventilation and the perfusion at the alveolar site are not matched [2, 3]. A VQ mismatch is indicative of respiratory distress or failure in COVID-19 patients [4]. Extreme VQ mismatch is the result of an area with perfusion, but no ventilation (V/Q = 0) termed a “shunt” or an area with ventilation, but no perfusion (V/Q = undefined) termed a “dead space” (Fig.1a-c). In severe hypoxemic COVID-19 cases, hypoperfusion to the normal parenchyma due to vasoconstriction of pulmonary blood vessels results in poor gas exchange. The shifting of the blood pool from vasoconstricted small capillaries to the dilated blood vessels (redistribution) in ground-glass opacities (GGO) and consolidation results in shunting (Fig.1d, e).

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (3)

Normal ventilation and perfusion are responsible for gas exchange in alveoli (a). Alveolar sac filled with edema and exudates produces hypoxemia by decreasing the alveolar and arterial oxygen level result in shunt (b). Pulmonary embolism develops high ventilation in proportion to perfusion produce a dead space (c). Hypoperfusion to the apparently normal parenchyma due to vasoconstriction of pulmonary blood vessels results in poor gas exchange (d) and hyperperfusion through dilated capillaries to alveolar sac filled with edema and exudates result in shunt (e)

The fluid in alveoli triggers a pulmonary shunt and although perfused, the lungs remain unventilated. Intrapulmonary shunting causes hypoxemia (inadequate blood oxygen) in which the lungs become consolidated. Even breathing 100% oxygen does not result in fully oxygenated blood. Pulmonary embolism decreases perfusion relative to ventilation results in increased dead space. Dead zones usually can be corrected by supplying 100% inspired oxygen. Even when a capillary is blocked because the pulsating nature of blood flow traveling forward and backward distributes between other capillaries that are exchanging gases efficiently [5, 6].

Imaging Lung Manifestation and VQ Mismatch in COVID-19

In COVID-19, severe hypoxemia is caused by two mechanisms: the shunt effect through diffuse alveolar damage and the dead space effect through thrombotic injuries in microvascular beds [79] (Fig.2). Rapid multiplication and release of the virus in the host cell lead to pyroptosis of epithelial and endothelial cells. It results in vascular leakage and alveolar edema [10]. The accumulation of fluid in the damaged lung parenchyma results in a shunt. The damaged parenchyma appears as GGO, consolidation, septal thickening on conventional chest CT scans, and perfusion abnormalities on contrast-enhanced CT [11]. COVID-19 viral infection may accelerate microvascular thrombosis followed by pulmonary embolism results in VQ mismatch and hypoxemias [12].

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (4)

Normal lung (left) showing smooth blood flow and the effective gas exchange is recognized as normal ventilation and perfusion. COVID-19 infection causes an intense inflammatory reaction (right) results in shunt or dead space or both. Uncontrolled activation of lymphocytes, neutrophil, and pulmonary production of platelets cause lung tissue damages. The virulence in COVID-19 triggers pulmonary microthrombi, endothelial damage, and vascular leakage. The host intends to control the thrombi formation by vigorous fibrinolysis, and degraded fibrin (D-dimer) are released in blood stream. Image

Source—https://doi.org/10.1111/jth.14975

Although portable chest X-rays and lung ultrasound, valuable imaging tools provide limited granular details about lung parenchyma, they are unable to assess pulmonary vasculature/blood flow. Advanced imaging modalities such as high-resolution CT (HRCT), ultra-HRCT (U-HRCT), dual-energy CT (DECT), CT pulmonary angiogram (CTPA), single-photon emission tomography (SPECT)-CT, and electrical impedance tomography (EIT) are useful imaging tools to visualize ventilation-perfusion abnormalities that lead to a VQ mismatch in COVID-19 and are described in the following sections. While EIT does not involve radiation exposure, other imaging modalities involved either administration of radioactivity or exposure to X-rays and require scanning suits. A summary of these imaging modalities to assess lung manifestation in COVID-19 is presented in Table Table11.

Table 1

Comparative study of imaging modalities to assess COVID-19 clinical manifestation

HRCT / U-HRCTDECTCTPASPECT-CTEIT
Principle of techniqueTransmission tomographyTransmission tomographyTransmission tomographyEmission (SPECT) and transmission (CT) tomographyTransmission tomography
Energy sourceX-rays produced by single high voltage (125 kVp) tubeX-rays produced by two low and high voltages (80 and 140 kVp) tubesX-rays produced by single high voltage (120 kVp) tubePhotons (99mTc:140keV, 81mKr: 190keV, 123I: 159keV) emitted by SPECT radiotracer and X-ray from CT tube (30–80 kVp)Low intensity alternating electrical current
Signal production mechanismAttenuation of X-rays in the lungsAttenuation of X-rays in the lungs and pulmonary blood vesselsAttenuation of X-rays in the lungs and pulmonary blood vesselsEmission of photons from SPECT radiotracer and attenuation of CT X-rays in the lungsResistivity to the electrical current (bioimpedance) produced by air in the lungs during inspiration and expiration
Radiation exposureExposure to X-raysExposure to X-raysExposure to X-raysExposure to radioactivity and X-raysNo radiation exposure
Effective radiation dose1mSv per chest scan1.5–3mSv per chest scan7–10mSv per chest scan6–7mSv per SPECT/CT chest scanNot applicable
Contrast agentContrast agent not required. FRI algorithm assesses vasculature on the stack of CT images of ≤ 1-mm thicknessIodinated contrast agents are used to visualize perfusion and pulmonary embolism in the lungsIodinated contrast agents are used to visualize perfusion and pulmonary embolism in the lungsContrast agent not required5–7.5% w/v hypertonic sodium chloride intravenous bolus injection serves as contrast agent to measure lung perfusion
RadiotracersNo radioactivity involvedNo radioactivity involvedNo radioactivity involved99mTc-MAA,99mTc-DTPA, Technegas®, and 81mKrNo radioactivity involved
FindingsGGO, consolidation, pleural effusion, fibrosis, and microcystic honeycombing on lung CT images. Using FRI algorithm, redistribution of blood from smaller caliber blood vessels to dilated ones in GGO was observedGGO and consolidation on transmission scan, hyperperfusion in GGO, and hypoperfusion in apparently normal zone on iodine map; pulmonary infarction and embolism on perfusion scan were observedGGO and plural abnormalities on transmission scan; perfusion defects in normal and abnormal lung zones and pulmonary embolism may be detectedDecreased radioactivity uptake in the infract zone on perfusion ventilation scan and decreased radioactivity distribution in COPD lungs on ventilation scanUnequal regional bioimpedance during respiration display ventilation perfusion mismatch, distention, or % collapse of the lung in four quadrants
Frequency of scansOne-time scan in asymptomatic to severe patients and follow-up scans in long haulers during rehabilitation processOne time or intermittent scans in moderate to severe patients to assess lung perfusion and pulmonary embolism siteOne time or intermittent scans in moderate to severe patients to assess lung perfusion and pulmonary embolism siteOne time or intermittent scans in moderate to severe patients to assess lung ventilation, and perfusionContinuous bedside examination of lung ventilation and perfusion in moderate to severe condition and evaluation of drug therapy
Patient group preferredAdults and pediatricAdults and pediatric without renal complications when using contrast agentsAdults and pediatric without renal complications when using contrast agentsAdults and only perfusion SPECT scan in pregnancyAdults, infants, pregnant, pediatric

HRCT high-resolution computed tomography, U-HRCT ultra high-resolution computed tomography, DECT dual energy computed tomography, CTPA conventional computed tomography pulmonary angiography SPECT-CT single photon emission tomography- computed tomography, EIT electrical impedance tomography, GGO ground-glass opacities, FRI functional respiratory imaging, COPD chronic obstructive pulmonary disease, 99mTc-MAA Technetium 99mTc macro-aggregated albumin, 99mTc-DTPA Technetium 99mTc-diethylen-tetraamino-pentaacetate, Technegas® ultra-fine dispersion of 99mTc-carbon, 81mKr81m krypton gas

Imaging Modalities

High-Resolution CT (HRCT) and Ultra-HRCT (U-HRCT)

Functional respiratory imaging (FRI) technique from Fluidda, Inc. (https://www.fluidda.com/) when combined with HRCT or U-HRCT scans could provide an assessment of pulmonary air tracks and blood volume distribution in the pulmonary blood vessels. The technique requires inspiratory and expiratory scans but does not require a contrast agent. FRI works optimally when the CT slice thickness is < 1mm. HRCT (slice thickness: 0.625–1.25mm) and U-HRCT (slice thickness: 0.2–0.5mm) in which thin-slice chest images are acquired and reconstructed using a sharp algorithm are outstanding imaging tools to access blood volume and vasculature abnormalities in COVID-19 without contrast agents. In some longitudinal studies, HRCT detects early lung injury and evaluates disease severity, clinical typing, type of lesions, and post-treatment follow-up [1317]. U-HRCT scanner observed superiority over HRCT in detecting not only distribution and lesions of COVID-19 but also imaging local lung volume loss [18, 19].

Some COVID-19 patients have normal lung compliance and pulmonary blood volume but significant hypoxemia. FRI combined with blood vessel (BV) segmentation algorithm on HRCT scans found that patients with COVID-19 had significantly reduced blood volume in the smaller caliber blood vessels (BV5, cross-sectional area < 5 mm2) compared with matched acute respiratory distress syndrome (ARDS) patients without COVID-19 and healthy controls [20, 21]. In the long hauler COVID-19 patients, the blood vessels remain anomalous for a long time. The mid-size vessels (BV5_10, cross-sectional area of 5–10 mm2) seem to remain dilated which could indicate sustained microvascular obstruction and endothelial damage. In acute COVID-19, they had a significantly higher proportion of blood volume within large-caliber vessels (BV10, cross-sectional area of > 10 mm2) (Fig.3). Impaired gas exchange in the lungs may be due to redistribution of blood away from the small-caliber pulmonary vessels. This mechanism could be due to increased vascular resistance caused by either vasoconstriction of distal pulmonary arteries or the presence of microthrombi or both. The vasculopathy in the lungs reduces gas diffusion capacity causing hypoxemia. FRI technique reaffirms that high levels of positive end-expiratory pressure (PEEP) may not alone be enough to inflate alveoli and facilitate gas exchange, but anticoagulant or pulmonary vasodilators therapies should assist to reduce hypoxemia in these patients [20, 21]. A major challenge in the pulmonary rehabilitation process of COVID-19 long-haulers is persisting symptoms long after recovery from infection. The persistent symptoms often include brain fog, fatigue, headaches, dizziness, and shortness of breath [22]. Tracking pulmonary structural and functional information during treatment of COVID-19 long-haulers, FRI possibly could evaluate the development of an optimal therapeutic solution.

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (5)

Functional respiratory imaging on HRCT scans found that the COVID-19 patients had significantly reduced blood volume in the smaller caliber blood vessels (BV5, cross-sectional area < 5 mm2) compared with the long hauler COVID-19 subjects and healthy controls. In the long haulers, the blood vessels remain anomalous for a long time. The mid-size vessels, indicated in yellow (BV5_10, cross-sectional area of 5–10 mm2), seem to remain dilated which could indicate sustained microvascular obstruction and endothelial damage. In acute COVID-19, they had a significantly higher proportion of blood volume within large-caliber vessels (BV10, cross-sectional area of > 10 mm2) and mainly projected towards the posterior part of the lungs. Impaired gas exchange in the lungs seen in COVID-19 may be partially a result of redistribution of blood away from the small-caliber pulmonary vessels. Image

Source—Fluidda Inc

Dual-Energy CT (DECT) and CT Pulmonary Angiogram (CTPA)

Both DECT and CTPA are used to diagnose pulmonary perfusion and embolism in COVID-19 patients. Intravenous administration of iodine-containing contrast agent image pulmonary arteries. Compared with CTPA, DECT allows a significant 50% reduction in iodine dose while improving signal intensity, maintaining signal-to-noise ratio with a comparable radiation dose [23]. DECT utilizes high- and low-kilovoltage series X-ray energy spectra during image acquisitions and detects perfusion abnormalities. The technique reduces radiation exposure, increases the attenuation of blood vessels at lower energies, and simulates true unenhanced images [11, 2427].

In the early phase, pulmonary DECT angiography revealed a hyperperfused dilated capillary system in GGO in COVID-19 patients. Enlarged vessels entering GGO are suggested to occur due to hyperemia and vasodilation through activation of bradykinin receptors. Increased blood flow in poorly ventilated areas results in shunt (Fig.4A,C) [11, 25]. In a prolonged disease course, GGO becomes denser (consolidation). The hypoperfusion in consolidated areas suggests obstruction or blockage of capillaries due to thrombus formation. The consolidation was found encircled by hyperperfused blood vessels (Fig.4B) [24, 27]. During the long hospitalization of the patients, DECT evaluates the possible onset of pulmonary infarcts secondary to pulmonary thromboembolism. In this clinical scenario, dual-energy pulmonary angiography allows differentiation between GGO and ischemic or infarcted areas (Fig.4B) [19]. Pulmonary perfusion evaluated by iodine concentration maps shows extreme heterogeneity in COVID-19 patients and lower iodine levels in normal parenchyma. DECT revealed a significant number of pulmonary ischemic areas although thrombosis remained undetected on images (Fig.4C) [25].

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (6)

Panels display perfusion CT scans with dual energy CT (4A, 4B, and 4C) and conventional CT (4D) in COVID-19 patients. In panel 4A, (a) Peripheral GGO and consolidation within the right upper lobe and smaller GGO in the posterior left upper lobe (green arrowheads) are accompanied by dilated subsegmental vessels proximal to, and within, the opacities (green arrows). (b) The accompanying pulmonary blood volume image shows higher perfusion (green arrows) in GGO and consolidation. Image

source—10.1016/S1473-3099(20)30367-4. In panel 4B, (a, c) axial CT image shows wedge-shaped bilateral opacities with surrounding GGO; (b) iodine map image shows a triangular peripheral area of decreased perfusion (yellow arrow) in the right lower, distal to pulmonary embolism (red arrow) lobe compatible with pulmonary infarction; (d) iodine map images showing a peripheral, triangular, and hypoperfused area in the left lower lobe (yellow arrow) suggestive of pulmonary infarction. Image source—https://doi.org/10.1016/j.rec.2020.04.013. In panel 4C, (a) axial CT image shows central GGO and peripheral consolidation a right inferior lobe. (b) Axial iodine color map shows high iodine concentrations in consolidations, and hypoperfusion in left medio-basal segment (dotted line), secondary to the thrombosis of corresponding segmental pulmonary artery (white arrow). (c) Axial CT image shows consolidation in a right inferior lobe and GGO in both inferior lobes. (d) Axial iodine color map shows hypoperfused area in the middle lobe (dotted line). Right inferior lobe consolidation shows high and heterogeneous iodine levels. Image source—https://doi.org/10.21037/qims-20-708. In panel 4D, (a) Axial chest CT of the right upper lobe with subpleural pneumonia (red arrows), surrounded by small GGOs. (b) CTPA shows multiple small subpleural perfusion defects (red arrows) and a larger perfusion defect dorsal in the normal ventilated right upper lobe (Δa), due to microvascular obstruction (Δb). Pulmonary emboli in the right pulmonary upper lobe were not observed. Image source—10.1259/bjr.20200718

CTPA detected impaired pulmonary ventilation, pulmonary embolism, and hypoperfusion areas in a COVID-19 patient with elevated D-dimer level [28], and revealed multiple pulmonary perfusion defects without demonstrable pulmonary embolism even before D-dimer elevation (Fig.4D) [29].

SPECT-CT

VQ scintigraphy was recommended to detect pulmonary embolism and ventilation-perfusion mismatch in COVID-19 [3033], where CT confronts limitations. Perfusion scans are performed using hybrid SPECT-CT cameras with intravenous injection of Technetium 99mTc macro-aggregated albumin (99mTc-MAA) and ventilation scans with inhalation of 81mKr-Krypton gas or Technetium 99mTc-diethylen-tetraamino-pentaacetate (99mTc-DTPA) or ultra-fine dispersion of 99mTc-Carbon (Technegas®) [34]. The biodistribution of radiotracers in the lungs is then measured to observe ventilation and perfusion defects. Decreased radiotracer uptake and no mismatch of V and Q SPECT scans are indicative of a low possibility of pulmonary embolism. The regions with decreased radiotracer uptake are examined for peripheral parenchymal GGO on CT scans of COVID-19 patients (Fig.5A) [31]. Ventilation SPECT-CT scan revealed increased Technegas® uptake in the tracheobronchial tract in COVID-19 patients suggesting blockage of airway paths (bronchus, bronchi, and bronchioles) in the lungs and cautioning signs of a tracheobronchitis. In the absence of previous pulmonary disease, ventilation SPECT-CT might have diagnostic and therapeutic applications (Fig.5B) [30]. In the early phase, COVID-19 patients have shown decreased ventilation and normal perfusion in the lung regions where GGO or consolidation was observed on CT scans (Fig.5C) [31].

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (7)

In panel 5A, the axial images showing decreased radiotracer uptake in both perfusion and ventilation scan (white arrow) in fused SPECT-CT (a, b) indicating low probability of pulmonary embolism. SPECT (c, d) observed defect matches with the posterior segment of the right upper lobe alveolar filling (black arrow) on the CT scan (e). In panel 5B, on coronal images, decreased dual radiotracer uptake (green arrows) in ventilation (a) and perfusion (b) SPECT scans indicates low possibility of pulmonary embolism. Increased tracheobronchial tract uptake of (blue arrows), with marked intensity on the proximal bronchi suggesting tracheobronchitis or chronic obstructive pulmonary disease. In panel 5C, the axial SPECT images showing normal perfusion scan (a) and defects in ventilation scan (b) in the posterior segment of the right upper lobe (white arrow) that matches with the GGO on CT scan (c, black arrow). Image

source—https://doi.org/10.1007/s00259-020-04920-w, https://doi.org/10.1007/s00259-020-04834-7

Ventilation SPECT scans are recommended if CTPA is inconclusive, contraindicated, and in exceptional circ*mstances in COVID-19 confirmed or suspected cases [35, 36]. VQ SPECT-CT not only performs diagnosis of pulmonary embolism but also assesses the degree of pulmonary involvement avoiding the risk of renal failure linked to the injection of iodinated contrast agents to the patients at risk [37]. Perfusion SPECT-CT avoids unnecessary risk related to aerosolization of respiratory droplets and possible viral spread—a risk factor associated with ventilation SPECT scan. It is therefore recommended as a choice for detecting pulmonary embolism in COVID-19 patients [38, 39]. In pregnancy, perfusion SPECT without CT reduces exposure to radiation dose. However, in certain cases, if the pregnant woman falls in the clinical “vulnerable group” for COVID-19 infection, a perfusion SPECT with low-dose CT is advocated [34, 35].

Electrical Impedance Tomography (EIT)

Imaging tools like EIT can monitor lung ventilation and perfusion bedside while the patient is receiving treatment. It is a non-invasive radiation-free functional imaging modality that allows continuous bedside monitoring of lung ventilation and perfusion in real time [40]. EIT uses electric current and evaluates the distribution of alternating current conductivity within the thoracic cavity. It is based on the repeated measurement of the surface voltages (40–50 cycles/s) resulting from a rotating high frequency (50–80kHz) and low intensity (5–10mA) alternating current that circulates between the electrodes around the thorax. The spatial resolution can be improved with the increasing number of electrodes. With a computer and electrodes applied to the patient’s chest, the bioimpedance (resistance) signal can be processed allowing the description of tissue characteristics (conductivity) located in the selected body circumference. The electrodes collect information on impedance by forming a relative image based on a reference. While the tissues allow the passage of current with little resistance, the air in the lungs offers high resistance [41]. The impedance of the lung during inspiration is double that of expiration. EIT allows the estimation of the tidal volume, the percentages of the tidal volume distribution in each quadrant or layer, the minimum impedance (end-expiratory lung impedance), or maximum impedance (total lung capacity) [40]. The quantification of pulmonary perfusion by EIT can be performed by a brief breath-hold, followed by rapid infusion of hypertonic saline (10ml, 5–7.5% w/v NaCl), which dramatically reduces chest impedance, thus acting as an intravascular contrast [40]. In the pigs, pulmonary perfusion maps by EIT were found to well agree with perfusion maps produced using SPECT [42] and positron emission tomography [43].

EIT was found helpful to characterize the etiology of hypoxemia of COVID-19 patients with respiratory failure (Fig. (Fig.6)6) [44]. COVID-19 pneumonia requires different ventilator strategies. For patients who have VQ mismatch, EIT could assist in identifying different pneumonia patterns and setting optimal parameters on a mechanical ventilator [45]. COVID-19 patients often have airway secretions that severely compromise ventilation. Therapeutic bronchoalveolar lavage removes mucus in the small airways and improves regional ventilation. EIT was found useful at the bedside to monitor the ventilation treatment and anticoagulant treatment in COVID-19 [14, 46].

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (8)

In this study, EIT showed real-time noninvasive bedside ventilation and perfusion in hypoxemic COVID-19 patients with respiratory failure. All the three COVID-19 patients intubated for acute hypoxic respiratory failure (PaO2/FiO2 < 300) had different respiratory system compliance. EIT was used to determine regional ventilation and perfusion distribution. On CT scans, case 1 shows peripheral and basilar GGO, while case 2 and 3 describe diffuse bilateral GGO. In case 1, EIT showed severe right-lung perfusion anomalies, hom*ogenous ventilation, and a moderate decrease in respiratory compliance (40ml/cm H2O). Case 2 and case 3 showed a progressive decrease of respiratory compliance, without major perfusion disturbances. PaO2/FiO2 means ratio of arterial oxygen partial pressure in mmHg to fractional inspired oxygen expressed as fraction. Image

source—https://doi.org/10.1164/rccm.202005-1801IM

The procedure to titrate PEEP in COVID-19 or associated ARDS patients is unknown. The survival of patients is improved if higher PEEP successfully recruited partly or completely collapsed lung tissue [47]. However, excessive PEEP caused alveolar overdistention, resulting in reduced patient survival [48]. Therefore, PEEP should be personalized to maximize alveolar recruitment and minimize the amount of alveolar overdistention. In a case series of COVID-19 patients with moderate to severe ARDS, EIT successfully provided a reliable bedside approach to detect both alveolar overdistention and alveolar collapse [49, 50].

Concluding Remarks

COVID-19 hypoxemic patients exhibit abnormal hyperperfusion in areas of lung GGO and show abnormally decreased perfusion in areas of the apparently normal lung parenchyma. Hypoperfusion of apparently healthy areas could be a consequence of vasoconstriction due to the accumulation of angiotensin II that shifts vascular flow towards areas of non-aerated hyperperfused lung in moderate to severe COVID-19 cases. In most COVID cases, the posterior part of the lungs is severely affected. Prone sleeping position shifts blood flow through gravity effect towards hypoperfused anterior part of the apparently normal lungs and improves oxygenation. The severity of the disease and degree of VQ mismatch in COVID patients makes them different from one another clinically.

FRI on HRCT revealed that the total pulmonary blood volumes as measured do not vary significantly between healthy and COVID-19 patients [21]. Throughout the pulmonary vasculature, the blood flow was redistributed from small vessels to medium and larger blood vessels entering in GGO and consolidation. The measurements of blood volume distribution, anatomical changes of pulmonary vasculature may offer a powerful means to evaluate effective treatments in acute COVID-19 patients or recovering long haulers [20, 21]. FRI findings correlate with the DECT and CTPA iodine perfusion maps where high iodine concentration was observed in GGO and lower iodine levels in normal parenchyma with or without evidence of thrombosis or pulmonary embolism [11, 25].

DECT allows a significant reduction in iodine dose while improving the intravascular signal intensity and maintaining a signal-to-noise ratio with comparable radiation dose. Although the pulmonary vasculature and embolism can be seen in exquisite detail with CTPA and DECT, they are reserved for symptomatic patients with specific clinical indications [51]. VQ SPECT scan with low-dose CT identifies the dual pathology of pulmonary embolism and COVID-19 related lung parenchymal abnormalities. In pregnant patients with suspected massive pulmonary embolism, only perfusion scintigraphy is recommended. A low-dose CT with SPECT perfusion scan increases sensitivity to ~ 97%, compared with CTPA, and a significant increase in specificity (97.2–100%) to detect pulmonary embolism in COVID patients [35]. The absorbed fetal dose from the low-dose CT is negligible (< 0.1mSv), while radiation exposure reduces 5 times compared with 9mSv dose received from CTPA [52, 53]. Allergy to iodinated contrast agents and renal failure in COVID patients restricts the use of iodinated contrast agents on the CT scan [54]. In this case, pulmonary scintigraphy is recommended for diagnosing pulmonary embolism in COVID-19. The radiation exposure and the need for decontaminated scanning room limit the serviceability of SPECT or CT for routine use. In this situation, EIT is emerging as a promising clinical imaging tool for continuous and real-time monitoring of pulmonary ventilation and perfusion in COVID-19 patients. The complete discussion of the specific pros and cons associated with the different imaging modalities is outside the scope of this review. We emphasize the clinical usefulness of imaging in the settings of COVID-19.

Acknowledgements

The authors gratefully acknowledge University of Southern California; The Saban Research Institute for providing literature survey facilities and Fluidda Inc. for useful input in the group discussion.

Abbreviations

99mTc-MAATechnetium 99mTc macro-aggregated albumin
99mTc-DTPATechnetium 99mTc-diethylen-tetraamino-pentaacetate
Technegas®Ultra-fine dispersion of Technetium 99mTc-Carbon
81mKr81mKrypton gas
ARDSAcute respiratory distress syndrome
BVBlood vessels
COVID-19Coronavirus disease 2019
CTPAConventional computed tomography pulmonary angiography
DECTDual energy computed tomography
EITElectrical impedance tomography
FRIFunctional respiratory imaging
GGOGround-glass opacities
HRCTHigh-resolution computed tomography
PEEPPositive end-expiratory pressure
SPECTSingle photon emission tomography
U-HRCTUltra high-resolution computed tomography
VQVentilation-perfusion

Declarations

Ethics Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Conflict of Interest

The authors declare that they have no conflict of interest.

Footnotes

Key points

A severe pulmonary ventilation-perfusion mismatch triggers moderate to severe hypoxemia in COVID-19 cases.

Using a sharp algorithm, HRCT/U-HRCT, DECT, CTPA, SPECT, and EIT can visualize VQ mismatch, pulmonary embolism, pulmonary vasculature, and measure blood flow redistribution in the lungs.

Imaging modalities can aid the physician to access the severity of infection and lung performance, decide strategies for medical treatment, and evaluate response to treatment in patients

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

1. Hemmings HC, Egan TD (2019) Pharmacology and physiology for anesthesia: foundations and clinical application. Second edition. ed., Philadelphia, PA: Elsevier, Inc.

2. Lumb AB, Horner D (2013) Chapter 25—Pulmonary physiology. In Pharmacology and Physiology for anesthesia, Eds. Hemmings HC, Egan TD. Philadelphia: W.B. Saunders, pp 445–457.

3. Levitzky MG (2018) Pulmonary physiology. Ninth edition. ed., New York: McGraw-Hill Education.

4. Nitsure M, Sarangi B, Shankar GH, et al. Mechanisms of hypoxia in COVID-19 patients: a pathophysiologic reflection. Indian J Crit Care Med. 2020;24:967–970. doi:10.5005/jp-journals-10071-23547. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

5. Sarkar M, Niranjan N, Banyal PK. Mechanisms of hypoxemia Lung India. 2017;34:47–60. doi:10.4103/0970-2113.197116. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

6. Petersson J, Glenny RW. Gas exchange and ventilation-perfusion relationships in the lung. Eur Respir J. 2014;44:1023–1041. doi:10.1183/09031936.00037014. [PubMed] [CrossRef] [Google Scholar]

7. Abourida Y, Rebahi H, Chichou H, et al. What open-lung biopsy teaches us about ARDS in COVID-19 patients: mechanisms, pathology, and therapeutic implications. Biomed Res Int. 2020;2020:2909673. doi:10.1155/2020/2909673. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

8. Hanley B, Naresh KN, Roufosse C, et al. Histopathological findings and viral tropism in UK patients with severe fatal COVID-19: a post-mortem study. Lancet Microbe. 2020;1:e245–e253. doi:10.1016/S2666-5247(20)30115-4. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

9. Iba T, Levy JH, Levi M, Thachil J. Coagulopathy in COVID-19. J Thromb Haemost. 2020;18:2103–2109. doi:10.1111/jth.14975. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

10. Yap JKY, Moriyama M, Iwasaki A. Inflammasomes and pyroptosis as therapeutic targets for COVID-19. J Immunol. 2020;205:307–312. doi:10.4049/jimmunol.2000513. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

11. Lang M, Som A, Mendoza DP, et al. Hypoxaemia related to COVID-19: vascular and perfusion abnormalities on dual-energy CT. Lancet Infect Dis. 2020;20:1365–1366. doi:10.1016/S1473-3099(20)30367-4. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

12. Dhawan RT, Gopalan D, Howard L, et al. Beyond the clot: perfusion imaging of the pulmonary vasculature after COVID-19. Lancet Respir Med. 2021;9:107–116. doi:10.1016/S2213-2600(20)30407-0. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

13. Lu X, Gong W, Peng Z, Zeng F, Liu F. High resolution CT imaging dynamic follow-up study of novel coronavirus pneumonia. Front Med (Lausanne) 2020;7:168. doi:10.3389/fmed.2020.00168. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

14. Fu Y, Zou R, Wang S, et al. Monitoring bronchoalveolar lavage with electrical impedance tomography: first experience in a patient with COVID-19. Physiol Meas. 2020;41:085008. doi:10.1088/1361-6579/abab1b. [PubMed] [CrossRef] [Google Scholar]

15. Mazzolini M, Monari M, Angeletti G, Dalpiaz G, Rocca A. Fatal pulmonary fibrosis complicating COVID-19 infection in preexistent emphysema. Radiol Case Rep. 2021;16:361–363. doi:10.1016/j.radcr.2020.11.050. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

16. Majidi H, Bani-Mostafavi ES, Mardanshahi Z, et al. High-resolution computed tomography finding in 552 patients with symptomatic COVID-19: first report from north of Iran. Emerg Radiol. 2020;27:633–639. doi:10.1007/s10140-020-01819-9. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

17. Khaliq M, Raja R, Khan N, Hanif H. An analysis of high-resolution computed tomography chest manifestations of COVID-19 patients in Pakistan. Cureus. 2020;12:e9373. [PMC free article] [PubMed] [Google Scholar]

18. Kakinuma R, Moriyama N, Muramatsu Y, et al. Ultra-high-resolution computed tomography of the lung: image quality of a prototype scanner. PLoS One. 2015;10:e0137165. doi:10.1371/journal.pone.0137165. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

19. Iwasawa T, Sato M, Yamaya T, et al. Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia. Jpn J Radiol. 2020;38:394–398. doi:10.1007/s11604-020-00956-y. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

20. Thillai M, Patvardhan C, Swietlik EM, et al. (2020) Functional respiratory imaging identifies redistribution of pulmonary blood flow in patients with COVID-19. Thorax. [PubMed]

21. Lins M, Vandevenne J, Thillai M, et al. Assessment of small pulmonary blood vessels in COVID-19 patients using HRCT. Acad Radiol. 2020;27:1449–1455. doi:10.1016/j.acra.2020.07.019. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

22. Greenhalgh T, Knight M, A'Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. 2020;370:m3026. doi:10.1136/bmj.m3026. [PubMed] [CrossRef] [Google Scholar]

23. Yuan R, Shuman WP, Earls JP, et al. Reduced iodine load at CT pulmonary angiography with dual-energy monochromatic imaging: comparison with standard CT pulmonary angiography—a prospective randomized trial. Radiology. 2012;262:290–297. doi:10.1148/radiol.11110648. [PubMed] [CrossRef] [Google Scholar]

24. Marsico S, Espallargas Gimenez I, Carbullanca Toledo SJ, Del Carpio Bellido LA, Maiques Llacer JM, Zuccarino F. Pulmonary infarction secondary to pulmonary thromboembolism in COVID-19 diagnosed with dual-energy CT pulmonary angiography. Rev Esp Cardiol (Engl Ed) 2020;73:672–674. doi:10.1016/j.recesp.2020.04.011. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

25. Grillet F, Busse-Cote A, Calame P, Behr J, Delabrousse E, Aubry S. COVID-19 pneumonia: microvascular disease revealed on pulmonary dual-energy computed tomography angiography. Quant Imaging Med Surg. 2020;10:1852–1862. doi:10.21037/qims-20-708. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

26. Ganti S, Kok SSX, Aftab S, Halagatti SV, Wong SBS, Uppaluri AS (2021) Spectrum of lung perfusion changes on dual-energy CT in COVID-19: incremental benefit to conventional CT. Emerg Radiol. [PMC free article] [PubMed]

27. von der Thusen JH, Ghariq E, Overbeek MJ, et al. Spectrum of vascular involvement in coronavirus disease 2019 pneumonia-findings on CT perfusion. Crit Care Explor. 2020;2:e0266. doi:10.1097/CCE.0000000000000266. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

28. Ierardi AM, Angileri SA, Arrichiello A, et al. Pulmonary embolism in COVID-19: ventilation and perfusion computed tomography. IDCases. 2020;21:e00805. doi:10.1016/j.idcr.2020.e00805. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

29. Oudkerk M, Kuijpers D, Oudkerk SF, van Beek EJ. The vascular nature of COVID-19. Br J Radiol. 2020;93:20200718. doi:10.1259/bjr.20200718. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

30. Verger A, Bahloul A, Melki S, Karcher G, Imbert L, Marie PY. Tracheobronchitis signs observed on ventilation lung scintigraphy during the course of COVID-19 infection. Eur J Nucl Med Mol Imaging. 2020;47:2709–2710. doi:10.1007/s00259-020-04834-7. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

31. Cobes N, Guernou M, Lussato D, et al. Ventilation/perfusion SPECT/CT findings in different lung lesions associated with COVID-19: a case series. Eur J Nucl Med Mol Imaging. 2020;47:2453–2460. doi:10.1007/s00259-020-04920-w. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

32. Das JP, Yeh R, Schoder H (2020) Clinical utility of perfusion (Q)-single-photon emission computed tomography (SPECT)/CT for diagnosing pulmonary embolus (PE) in COVID-19 patients with a moderate to high pre-test probability of PE. Eur J Nucl Med Mol Imaging. [PMC free article] [PubMed]

33. Sciagra R, Rubino F, Malandrino D, Bernardeschi N, Pignone AM, Berni A. Are disease-related pulmonary perfusion abnormalities detectable in COVID-19 patients? Suspicious findings in a lung perfusion SPECT performed for ruling out classical pulmonary embolism. Eur J Nucl Med Mol Imaging. 2020;47:2211–2213. doi:10.1007/s00259-020-04868-x. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

34. Bajc M, Schumichen C, Gruning T, et al. EANM guideline for ventilation/perfusion single-photon emission computed tomography (SPECT) for diagnosis of pulmonary embolism and beyond. Eur J Nucl Med Mol Imaging. 2019;46:2429–2451. doi:10.1007/s00259-019-04450-0. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

35. Voo S, Dizdarevic S. Single photon emission computed tomography lung perfusion imaging during the COVID-19 pandemic: does nuclear medicine need to reconsider its guidelines? Nucl Med Commun. 2020;41:991–993. doi:10.1097/MNM.0000000000001246. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

36. Mahaletchumy T, Muhamad M, Mohammad Kazmin NE, Kori N, Periyasamy P (2021) Pulmonary embolism in an asymptomatic COVID-19 patient detected on ventilation/perfusion SPECT/CT. Clin Nucl Med. [PubMed]

37. Burger IA, Niemann T, Patriki D, Fontana F, Beer JH. Lung perfusion [(99m)Tc]-MAA SPECT/CT to rule out pulmonary embolism in COVID-19 patients with contraindications for iodine contrast. Eur J Nucl Med Mol Imaging. 2020;47:2209–2210. doi:10.1007/s00259-020-04862-3. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

38. Lu Y, Macapinlac HA. Perfusion SPECT/CT to diagnose pulmonary embolism during COVID-19 pandemic. Eur J Nucl Med Mol Imaging. 2020;47:2064–2065. doi:10.1007/s00259-020-04851-6. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

39. Le Roux PY, Le Gal G, Salaun PY. Lung scintigraphy for pulmonary embolism diagnosis during the COVID-19 pandemic: does the benefit-risk ratio really justify omitting the ventilation study? Eur J Nucl Med Mol Imaging. 2020;47:2499–2500. doi:10.1007/s00259-020-04964-y. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

40. Tomicic V, Cornejo R. Lung monitoring with electrical impedance tomography: technical considerations and clinical applications. J Thorac Dis. 2019;11:3122–3135. doi:10.21037/jtd.2019.06.27. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

41. Holder D, Institute of Physics (Great Britain) (2005) Electrical impedance tomography: methods, history, and applications. Bristol ; Philadelphia: Institute of Physics Pub.

42. Borges JB, Suarez-Sipmann F, Bohm SH, et al. (2012) Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse. J Appl Physiol. 1985;112:225–236. doi:10.1152/japplphysiol.01090.2010. [PubMed] [CrossRef] [Google Scholar]

43. Bluth T, Kiss T, Kircher M, et al. Measurement of relative lung perfusion with electrical impedance and positron emission tomography: an experimental comparative study in pigs. Br J Anaesth. 2019;123:246–254. doi:10.1016/j.bja.2019.04.056. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

44. Morais CCA, Safaee Fakhr B, De Santis Santiago RR, et al. Bedside electrical impedance tomography unveils respiratory “chimera” in COVID-19. Am J Respir Crit Care Med. 2021;203:120–121. doi:10.1164/rccm.202005-1801IM. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

45. Tomasino S, Sassanelli R, Marescalco C, Meroi F, Vetrugno L, Bove T. Electrical impedance tomography and prone position during ventilation in COVID-19 pneumonia: case reports and a brief literature review. Semin Cardiothorac Vasc Anesth. 2020;24:287–292. doi:10.1177/1089253220958912. [PubMed] [CrossRef] [Google Scholar]

46. Safaee Fakhr B, Araujo Morais CC, De Santis Santiago RR, et al. Bedside monitoring of lung perfusion by electrical impedance tomography in the time of COVID-19. Br J Anaesth. 2020;125:e434–e436. doi:10.1016/j.bja.2020.08.001. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

47. Amato MB, Meade MO, slu*tsky AS, et al. Driving pressure and survival in the acute respiratory distress syndrome. N Engl J Med. 2015;372:747–755. doi:10.1056/NEJMsa1410639. [PubMed] [CrossRef] [Google Scholar]

48. Writing Group for the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial I. Cavalcanti AB, Suzumura EA, et al. Effect of lung recruitment and titrated positive end-expiratory pressure (PEEP) vs low PEEP on mortality in patients with acute respiratory distress syndrome: a randomized clinical trial. JAMA. 2017;318:1335–1345. doi:10.1001/jama.2017.14171. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

49. van der Zee P, Somhorst P, Endeman H, Gommers D. Electrical impedance tomography for positive end-expiratory pressure titration in COVID-19-related acute respiratory distress syndrome. Am J Respir Crit Care Med. 2020;202:280–284. doi:10.1164/rccm.202003-0816LE. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

50. Frerichs I, Amato MB, van Kaam AH, et al. Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the translational EIT development study group. Thorax. 2017;72:83–93. doi:10.1136/thoraxjnl-2016-208357. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

51. ACR Recommendations for the use of chest radiography and computed tomography (CT) for suspected COVID-19 infection. https://www.acr.org/Advocacyand-Economics/ACR-Position-Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection.

52. Jewell KE, Lee ST, Trubiano J, Lau E, Scott AM. Ventilation perfusion lung SPECT/CT in pregnancy during COVID-19. Intern Med J. 2020;50:1588–1590. doi:10.1111/imj.15089. [PubMed] [CrossRef] [Google Scholar]

53. Khosh SK, Ummmm P, Lee ST, Rowe CC. VQ SPECT/CT Vs CTPA—the impact if changes of breast tissue weighting factor on radiation exposure and cancer risk. Abstracts of the 44th Annual Scientific Meeting of the Australian and New Zealand Society of Nuclear Medicine (ANZSNM), 25–28 April 2014, Adelaide Australia. Intern Med J. 2014;44(Suppl 1):1–38. [PubMed] [Google Scholar]

54. Pan XW, Xu D, Zhang H, Zhou W, Wang LH, Cui XG. Identification of a potential mechanism of acute kidney injury during the COVID-19 outbreak: a study based on single-cell transcriptome analysis. Intensive Care Med. 2020;46:1114–1116. doi:10.1007/s00134-020-06026-1. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

Articles from Molecular Imaging and Biology are provided here courtesy of Nature Publishing Group

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19 (2024)

FAQs

Does COVID cause vq mismatch? ›

It is postulated that hypoxemia in COVID-19 is resultant of a V/Q mismatch due to a vascular pathology,1 especially in the early stages. Loss of hypoxic pulmonary vasoregulation has been attributed as a mechanism in this scenario.

What happens when there is a mismatch between ventilation and perfusion? ›

In the setting of chronic pulmonary disorders, ventilation-perfusion mismatch may lead to hypoxia-induced vasoconstriction and subsequent pulmonary hypertension [32,33]. Roughly 33% of all patients with COPD are noted to have some degree of pulmonary hypertension [34,35].

How do you check for ventilation perfusion mismatch? ›

To check whether we are suffering from ventilation perfusion mismatch or not, we need to get a lung scan. It is a simple test to check ventilation and perfusion separately. If both scans are done simultaneously then it is called as V/Q scan.

Which of the following is a common clinical cause of ventilation perfusion mismatch? ›

Characteristic features of ventilation/perfusion mismatch

Some common causes of hypoxemia due to V/Q mismatch include asthma, COPD, bronchiectasis, cystic fibrosis, interstitial lung diseases (ILDs), and pulmonary hypertension.

In what way does COVID-19 virus affect the respiratory and circulatory system? ›

The Centers for Disease Control and Prevention estimate that 3-17% of COVID-19 patients develop a complication known as Acute Respiratory Distress Syndrome (ARDS). With ARDS patients lose the ability to breathe normally and this is known as respiratory failure that results from severe inflammation in the lungs.

What are the extra pulmonary manifestations of COVID-19? ›

These conditions include thrombotic complications, myocardial dysfunction and arrhythmia, acute coronary syndromes, acute kidney injury, gastrointestinal symptoms, hepatocellular injury, hyperglycemia and ketosis, neurologic illnesses, ocular symptoms, and dermatologic complications.

What does perfusion mismatch indicate? ›

Perfusion-diffusion Mismatch Predicts Early Neurological Deterioration in Anterior Circulation Infarction without Thrombolysis.

Can you have ventilation without perfusion? ›

Physiological conditions can cause extreme V/Q ratios outside of the normal range. In a right-to-left shunt, a portion of the pulmonary blood flow is shunted away from the alveoli, resulting in ventilation without perfusion and a higher V/Q ratio.

What does the presence of a perfusion study mismatch indicate? ›

Mismatch between a larger perfusion-weighted imaging (PWI) abnormality and a smaller diffusion-weighted (DWI) lesion has been postulated to represent the ischemic penumbra. This tissue is at risk for infarction, but may also be potentially amenable to salvage with thrombolysis.

How accurate is a ventilation perfusion scan? ›

The V/Q scan's specificity and sensitivity are 93% and 85%, respectively, using PIOPED II criteria and 97% and 80%, respectively, using PISAPED criteria, comparable to CTPA, that has specificity and sensitivity of 98% and 86%, respectively.

What lung problem can a ventilation perfusion V Q scan be used to detect? ›

A ventilation and perfusion scan is most often done to detect an acute pulmonary embolus (blood clot in the lungs). It is also used to: Detect abnormal circulation (shunts) in the blood vessels of the lungs (pulmonary vessels)

What is the normal range for ventilation perfusion mismatch? ›

A normal V (alveolar ventilation)value is around 4 L/minute. A normal Q (perfusion)value is around 5 L /minute. Therefore, the Normal V/Q ratio is 4/5 or 0.8.

What is the difference between ventilation and perfusion of the lungs? ›

Ventilation (V) refers to the flow of air into and out of the alveoli, while perfusion (Q) refers to the flow of blood to alveolar capillaries. Individual alveoli have variable degrees of ventilation and perfusion in different regions of the lungs.

What type of respiratory failure is VQ mismatch? ›

In healthy subjects, however, the V/Q ratio is approximately 0.8, as the balance between ventilation and perfusion differs from the apex to the base of the lungs. V/Q mismatch is the most common cause of Type 1 respiratory failure.[11] Etiologies of V/Q mismatch include: Acute respiratory distress syndrome.

What medications can cause low oxygen levels? ›

These include:
  • Antibiotics, such as nitrofurantoin and sulfa drugs.
  • Heart medicines, such as amiodarone.
  • Chemotherapy drugs such as bleomycin, cyclophosphamide, and methotrexate.
  • Immunotherapy drugs that are used to treat cancer.
  • Street drugs.

What are the most common complications of COVID-19? ›

According to a meta-analysis, the most common cardiac complications in COVID-19 were myocardial injury (21.2%; 95% CI: 12.3–30.0%), arrhythmia (15.3%; 95% CI: 8.4–22.3%), heart failure (14.4%; 95% CI: 5.7–23.1%) and acute coronary syndrome (1.0%; 95% CI: 0.5–1.5%) [14].

How does COVID-19 cause hypoxemia? ›

COVID-19 can lead to hypoxemia as a result of damage done to the lungs through inflammatory responses to the viral infection in the respiratory system. Studies have suggested that those experiencing hypoxemia have a higher mortality risk than those who are able to maintain healthy blood oxygen levels.

What is silent hypoxia after COVID? ›

2 Some patients with COVID-19 may have significantly reduced pulse oximetry readings without signs of respiratory distress. This entity has been described as 'silent' or 'apathetic' hypoxia. 3 4 However, sudden and rapid deterioration may occur in this subset of patients.

What are the major complications in patients with COVID-19? ›

Complications of severe COVID-19 illness can include:
  • Acute respiratory distress syndrome, when the body's organs do not get enough oxygen.
  • Shock caused by the infection or heart problems.
  • Overreaction of the immune system, called the inflammatory response.
  • Blood clots.
  • Kidney injury.
Mar 27, 2024

References

Top Articles
Latest Posts
Article information

Author: Dean Jakubowski Ret

Last Updated:

Views: 6168

Rating: 5 / 5 (70 voted)

Reviews: 93% of readers found this page helpful

Author information

Name: Dean Jakubowski Ret

Birthday: 1996-05-10

Address: Apt. 425 4346 Santiago Islands, Shariside, AK 38830-1874

Phone: +96313309894162

Job: Legacy Sales Designer

Hobby: Baseball, Wood carving, Candle making, Jigsaw puzzles, Lacemaking, Parkour, Drawing

Introduction: My name is Dean Jakubowski Ret, I am a enthusiastic, friendly, homely, handsome, zealous, brainy, elegant person who loves writing and wants to share my knowledge and understanding with you.