{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:42:49Z","timestamp":1777891369249,"version":"3.51.4"},"reference-count":37,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["THC"],"published-print":{"date-parts":[[2024,9,3]]},"abstract":"<jats:p>BACKGROUND: Diagnostic challenges exist for CMV pneumonia in post-hematopoietic stem cell transplantation (post-HSCT) patients, despite early-phase radiographic changes. OBJECTIVE: The study aims to employ a deep learning model distinguishing CMV pneumonia from COVID-19 pneumonia, community-acquired pneumonia, and normal lungs post-HSCT. METHODS: Initially, 6 neural network models were pre-trained with COVID-19 pneumonia, community-acquired pneumonia, and normal lung CT images from Kaggle\u2019s COVID multiclass dataset (Dataset A), then Dataset A was combined with the CMV pneumonia images from our center, forming Dataset B. We use a few-shot transfer learning strategy to fine-tune the pre-trained models and evaluate model performance in Dataset B. RESULTS: 34 cases of CMV pneumonia were found between January 2018 and December 2022 post-HSCT. Dataset A contained 1681 images of each subgroup from Kaggle. Combined with Dataset A, Dataset B was initially formed by 98 images of CMV pneumonia and normal lung. The optimal model (Xception) achieved an accuracy of 0.9034. Precision, recall, and F1-score all reached 0.9091, with an AUC of 0.9668 in the test set of Dataset B. CONCLUSIONS: This framework demonstrates the deep learning model\u2019s ability to distinguish rare pneumonia types utilizing a small volume of CT images, facilitating early detection of CMV pneumonia post-HSCT.<\/jats:p>","DOI":"10.3233\/thc-240597","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T11:03:22Z","timestamp":1721991802000},"page":"3557-3568","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of early-phase cytomegalovirus pneumonia in post-stem cell transplantation using a deep learning model"],"prefix":"10.1177","volume":"32","author":[{"given":"Yanhua","family":"Zheng","sequence":"first","affiliation":[{"name":"Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China"},{"name":"Department of Hematology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruilin","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China"},{"name":"School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teng","family":"Zuo","sequence":"additional","affiliation":[{"name":"Urology Department, Fourth Affiliated Hospital of China Medical University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China"},{"name":"School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanxuan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China"},{"name":"School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China"},{"name":"School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiling","family":"Weng","sequence":"additional","affiliation":[{"name":"Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China"},{"name":"School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunxiao","family":"He","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union 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