{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T11:19:23Z","timestamp":1783509563681,"version":"3.55.0"},"reference-count":0,"publisher":"Ovid Technologies (Wolters Kluwer Health)","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"abstract":"Abstract<\/jats:title>\n \n Background:<\/jats:title>\n The novel coronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) primarily affects the respiratory system, producing lung findings \u2014 notably ground-glass opacities (GGOs) \u2014 on high-resolution computed tomography (HRCT) that closely mimic those seen in malignancy-related pulmonary lesions. Cancer patients, owing to their immunocompromised state, are particularly susceptible to COVID-19 infection and carry a worse prognosis. This overlap in radiological findings between COVID-19 pneumonia and malignancy-associated pulmonary changes poses a significant diagnostic challenge, risking misdiagnosis and delayed management.<\/jats:p>\n <\/jats:sec>\n \n Aims and Objectives:<\/jats:title>\n To study the role of HRCT Thorax in the identification and evaluation of typical manifestations of suspected COVID-19 infection in patients with preexisting malignancies. To identify atypical HRCT features of suspected COVID-19 infection in patients with preexisting malignancies.<\/jats:p>\n <\/jats:sec>\n \n Materials and Methods:<\/jats:title>\n This retrospective cross-sectional study was conducted between August 2020 and February 2021 in the CT section of the Department of Radio-diagnosis at a tertiary care hospital. A total of 100 patients satisfying the inclusion-exclusion criteria, referred for HRCT Thorax with suspected COVID-19 infection and having preexisting malignancies, were enrolled. Categorical variables were presented as number and percentage, and continuous variables as mean \u00b1 standard deviation and median. Data were visualized using bar diagrams and pie diagrams.<\/jats:p>\n <\/jats:sec>\n \n Results:<\/jats:title>\n The study included 56 female and 44 male patients; 64% were RT-PCR positive and 36% negative. Mean age was 55 \u00b1 13.3 years (range: 24\u201370 years). The most common malignancy was breast cancer, followed by lung and cervical cancer; 5 patients had a history of pulmonary metastasis. The predominant HRCT pattern was GGOs (78%), typically asymmetrical, peripheral, bilateral, and subpleural with lower lobe predilection. Consolidation concurrent with GGO was found in 33%, and sole patchy consolidation in 7%. Pleural effusion was present in 34%. Additional atypical findings included bronchiectasis (32%), lymphadenopathy (27%), crazy paving (22%), vascular changes (19%), and reticular opacities (17%). CT severity scoring showed 22% score 0, 30% mild (1\u20138), 32% moderate (9\u201315), and 16% severe (>15). The overall 30-day mortality was 22%, predominantly in lung cancer (25%), followed by oral cancer (18%). Disease severity was more pronounced in males.<\/jats:p>\n <\/jats:sec>\n \n Conclusion:<\/jats:title>\n HRCT Thorax is a valuable diagnostic tool in cancer patients suspected of COVID-19 infection, demonstrating both typical findings (bilateral subpleural GGOs, lower lobe predilection) and atypical findings (consolidation, pleural effusion, lymphadenopathy, fibrotic changes) more prevalent in oncological patients. A CT severity score >8 in oncological patients can serve as a severity predictor to guide hospitalization and management decisions.<\/jats:p>\n <\/jats:sec>","DOI":"10.4103\/aam.aam_102_26","type":"journal-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T20:14:31Z","timestamp":1782850471000},"update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["A Retrospective Cross-sectional Study of High-Resolution Computed tomography Thorax Manifestations in Cancer Patients Suspected to Have Coronavirus Disease 2019 Infection"],"prefix":"10.4103","author":[{"given":"Abhijeet Sugriv","family":"Ghodke","sequence":"first","affiliation":[{"name":"Department of Medical Gastroenterology, Dr. D. Y. Patil Vidyapeeth, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sushil","family":"Kachewar","sequence":"additional","affiliation":[{"name":"Department of Radio-diagnosis, Dr. D. Y. Patil Vidyapeeth, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Divya","family":"Jadhav","sequence":"additional","affiliation":[{"name":"Department of Radio-diagnosis, Dr. D. Y. Patil Vidyapeeth, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,6,30]]},"container-title":["Annals of African Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.lww.com\/10.4103\/aam.aam_102_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T11:00:20Z","timestamp":1783508420000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.lww.com\/10.4103\/aam.aam_102_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,30]]},"references-count":0,"URL":"https:\/\/doi.org\/10.4103\/aam.aam_102_26","relation":{},"ISSN":["1596-3519","0975-5764"],"issn-type":[{"value":"1596-3519","type":"print"},{"value":"0975-5764","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,30]]},"assertion":[{"value":"2026-01-31","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-04-25","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}