Abstract

PurposeTo study the spectrum of chest dual-energy computed tomography (DECT) imaging findings in severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) or COVID-19 infected Indian patients and classify them on the basis of the Radiological Society of North America CT classification.MethodA total of 110 reverse transcription-polymerase chain reaction (RT-PCR)-positive patients (subjects) in which noncontrast chest DECT was done in our COVID-19 care center (CCC) were enrolled in this study. The prevalence of various abnormalities of lung parenchyma due to SARS-COV-2 and their distribution with extent was recorded. Various types of lung parenchyma abnormalities due to COVID-19 were evaluated in all patients. Data were analyzed and various prevalent abnormalities were calculated as a percentage for each type. All the cases were also sorted into four major groups on the basis of the Radiological Society of North America CT classification of COVID patients.ResultAmong the total 110 patients that were enrolled in this study, 80 (72.7%) were males and 30 (27.3%) were females with a mean age of 40.5 ± 7 years (range 24-84). Out of this, we observed that 59 (53.6%) cases had abnormalities of lung parenchyma and were designated as DECT positive, whereas 51 (46.3%) cases had completely normal DECT. Only 14 (12.7%) of the patients (cases) presented with dyspnoea, 10 (9%) had hyperpnoea, whereas 12 (10.8%) had other associated comorbidities. Among the patients having abnormal DECT findings, multilobar (86%), bilateral lung field involvement (72.8%) with the ascendancy of peripheral and posterior distribution was most commonly noted. With respect to the different types of opacities noted in various patients, we found that ground-glass opacity (GGO) was the common abnormality found in almost all cases for the greatest part. Pure GGO was reported in 16 (28%), GGO admixed with a crazy-paving pattern were elicited in 17 (28.8%) and GGO mixed with consolidation was noted in 25 (42.3%) cases. Thirty-eight (64.4%) cases were having peri-lesional or intra-lesional segments or involving a small segment enlargement of the pulmonary vessel. Among the cases showing DECT positivity, the typical pattern on the basis of the Radiological Society of North America (RSNA) classification was noted in 71.2% of cases, whereas the atypical pattern was found in 1.2% percent of cases and the intermediate type was depicted in 25.4% percent of cases. Forty-six point three percent (46.3%) of the total cases that were enrolled in the study were grouped as the no pneumonia category.ConclusionThe result of this study proved that the maximum number of RT-PCR-positive COVID-19 patients had mild symptoms and few comorbidities with normal chest DECT and fell under the no pneumonia category of the RSNA CT classification of COVID patients. However, out of the remaining patients, the majority of patients had GGO on DECT as a typical finding mixed with other patterns in a bilateral distribution and peripheral predominance. A preponderance of patients presented with the typical appearance of pneumonia followed by an intermediate type.

Highlights

  • Coronavirus disease (COVID-19) has been declared a pandemic and public health emergency of international concern since March 11, 2020 [1]

  • With respect to the different types of opacities noted in various patients, we found that ground-glass opacity (GGO) was the common abnormality found in almost all cases for the greatest part

  • The Radiological Society of North America (RSNA) has recently released a consensus statement, which has been endorsed by the Society of Thoracic Radiology and the American College of Radiology, which has classified the various CT appearances of COVID-19 into four major categories, so as to establish a standardized reporting language that can be used by any doctor in any part of the world

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Summary

Introduction

Coronavirus disease (COVID-19) has been declared a pandemic and public health emergency of international concern since March 11, 2020 [1]. How to cite this article Khanduri S, Chawla H, Khan A, et al (January 04, 2021) Spectrum of Chest Dual-Energy Computed Tomography Findings in COVID Patients in North India. Dual-energy computed tomography (DECT) has been introduced so as to provide better imaging possibilities in reverse transcription (RT)-PCR positive COVID patients. We aim to gain insight into the spectrum of various findings on color-coded, noncontrast DECT images in the general population so as to create a database that can help further study in this direction. We aim to assess the spectrum of findings elicited on the different energy scale of noncontrast DECT, so as to decide whether it is beneficial for those patients who cannot be subjected to contrast DECT either due to allergy to iodine-based contrast or any other reason

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