Evidence map›Paper›PMID 42083952›Full record

ArticleCurrent medical imaging2026

High-Resolution Imaging Analysis of CT Severity Index in COVID-19 Patients: Impact of Age and Sex

Mahesh Chandra Bhatt, Arun Upmanyu, Subhash Chand Bansal, Ayush Dogra

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Article in Current medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Mahesh Chandra BhattChitkara, School of Health Sciences, Chitkara University, Rajpura- 140401 Punjab, India.ORCID 0000-0001-8963-8649
Arun UpmanyuChitkara University Institute of Engineering and Technology, Chitkara University, Rajpura- 140401, Punjab, India.ORCID 0000-0003-4273-7046
Subhash Chand BansalDepartment of Radiodiagnosis, Chitkara University, PGIMER Chandigarh,160012, Chandigarh, India.ORCID 0000-0002-1464-8823
Ayush DograChitkara University Institute of Engineering and Technology, Chitkara University, Rajpura- 140401, Punjab, India.ORCID 0000-0002-6093-7124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). HRCT chest imaging has been widely used during the COVID-19 pandemic. The CT severity score is helpful in assessing disease severity, which may accelerate the diagnostic workflow in COVID-19 patients. The aim of this study is to correlate the chest CT severity score of pulmonary pneumonia in COVID-19 patients with different age groups and sexes.

methodsThis retrospective study investigated the thoracic high-resolution computed tomography (HRCT) findings of 229 laboratory-confirmed COVID-19 patients. The cohort comprised 168 (73.4%) males and 61 (26.6%) females, with ages ranging from 18 to 88 years (median age 47 years). Patients were stratified into four age groups: 18–30, 31–45, 46–60, and >60 years. All patients underwent HRCT of the chest using a Canon Alexion 16- slice CT scanner with a low-dose protocol. Two independent radiologists evaluated the HRCT scans, and a CT severity score was calculated for each patient based on the extent of pulmonary involvement within each lung lobe. Scores were then compared across different age groups.

resultsHRCT chest findings in coronavirus infection included small patchy opacities; ground-glass opacity and consolidation were observed in 83% of patients. The present study indicates a positive correlation between higher CT severity scores and older age groups, as well as male gender, compared with younger and female patients. DISCUSSION: The study showed that 73.4% of patients were male and 26.6% were female, and that more severe CT lung infection (higher CT severity scores) was significantly associated with male gender. More severe pulmonary infection was also more common in patients above 60 years of age. These findings are in agreement with other studies reporting that COVID-19 infection affects males more severely than females.

conclusionHRCT chest imaging provides valuable diagnostic information regarding disease severity, percentage of lung involvement, and extent of disease, which is useful for guiding treatment and prognosis.

Indexed as

Tomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overAge FactorsCOVID-19FemaleHumansLungMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Severity of Illness IndexCOVID-19CT severity scoreGround-glass opacityHigh resolution computed tomography chestReal-time reverse transcriptase polymerase chain reaction.Severe acute respiratory syndrome coronavirus 2

Identifiers

PMID42083952
PMCPMC13575943

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.