biostudies-literatureLi YState Key Laboratory of Pathogenesis,Prevention,Treatment of Central Asian High Incidence Diseases Fund.3393-3401https://www.ebi.ac.uk/biostudies/studies/S-EPMC9525946biostudies-literatureUnknown121(12)The purpose of this study was to establish a clinical prediction model for the differential diagnosis of pulmonary cystic echinococcosis (CE) and pulmonary abscess according to computed tomography (CT)-based radiomics signatures and clinical indicators. This is a retrospective single-centre study. A total of 117 patients, including 53 with pulmonary CE and 64 with pulmonary abscess, were included in our study and were randomly divided into a training set (n = 95) and validation set (n = 22). Radiomics features were extracted from CT images, a radiomics signature was constructed, and clinical indicators were evaluated to establish a clinical prediction model. Finally, a model combining imaging radiomics features and clinical indicators was constructed. The performance of the nomogram, radioParasitology researchA CT-based radiomics nomogram for the differentiation of pulmonary cystic echinococcosis from pulmonary abscess.PMC9525946SKL-HIDCA-2020-17Li YLi SQi HXing YLiu QXin JYu YfalseA CT-based radiomics nomogram for the differentiation of pulmonary cystic echinococcosis from pulmonary abscess.The purpose of this study was to establish a clinical prediction model for the differential diagnosis of pulmonary cystic echinococcosis (CE) and pulmonary abscess according to computed tomography (CT)-based radiomics signatures and clinical indicators. This is a retrospective single-centre study. A total of 117 patients, including 53 with pulmonary CE and 64 with pulmonary abscess, were included in our study and were randomly divided into a training set (n = 95) and validation set (n = 22). Radiomics features were extracted from CT images, a radiomics signature was constructed, and clinical indicators were evaluated to establish a clinical prediction model. Finally, a model combining imaging radiomics features and clinical indicators was constructed. The performance of the nomogram, radio2022-01-01T00:00:00Z2022 Dec2025-04-03T21:30:24.717Z2025-04-03T21:30:24.717ZS-EPMC95259463618154110.1007/s00436-022-07663-9