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Wang H, He Y, Wan L, Li C, Li Z, Li Z, Xu H, Tu C. Deep learning models in classifying primary bone tumors and bone infections based on radiographs. NPJ Precis Oncol 2025; 9:72. [PMID: 40074845 PMCID: PMC11904180 DOI: 10.1038/s41698-025-00855-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 02/25/2025] [Indexed: 03/14/2025] Open
Abstract
Primary bone tumors (PBTs) present significant diagnostic challenges due to their heterogeneous nature and similarities with bone infections. This study aimed to develop an ensemble deep learning framework that integrates multicenter radiographs and extensive clinical features to accurately differentiate between PBTs and bone infections. We compared the performance of the ensemble model with four imaging models based solely on radiographs utilizing EfficientNet B3, EfficientNet B4, Vision Transformer, and Swin Transformers. The patients were split into external dataset (N = 423) and internal dataset [including training (N = 1044), test (N = 354), and validation set (N = 171)]. The ensemble model outperformed imaging models, achieving areas under the curve (AUCs) of 0.948 and 0.963 on internal and external sets, respectively, with accuracies of 0.881 and 0.895. Its performance surpassed junior and mid-level radiologists and was comparable to senior radiologists (accuracy: 83.6%). These findings underscore the potential of deep learning in enhancing diagnostic precision for PBTs and bone infections (Research Registration Unique Identifying Number (UIN): researchregistry10483 and with details are available at https://www.researchregistry.com/register-now#home/registrationdetails/6693845995ba110026aeb754/ ).
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Affiliation(s)
- Hua Wang
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yu He
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Lu Wan
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chenbei Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhaoqi Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhihong Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Shenzhen Research Institute of Central South University, Guangdong, China
| | - Haodong Xu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Chao Tu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Shenzhen Research Institute of Central South University, Guangdong, China.
- Changsha Medical University, Changsha, Hunan, China.
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Cazzagon N, Sarcognato S, Catanzaro E, Bonaiuto E, Peviani M, Pezzato F, Motta R. Primary Sclerosing Cholangitis: Diagnostic Criteria. Tomography 2024; 10:47-65. [PMID: 38250951 PMCID: PMC10820917 DOI: 10.3390/tomography10010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/24/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024] Open
Abstract
Primary sclerosing cholangitis is a chronic cholestatic liver disease characterized by inflammation and fibrosis of intra- and/or extrahepatic bile ducts leading to the formation of multifocal strictures alternated to bile duct dilatations. The diagnosis of the most common subtype of the disease, the large duct PSC, is based on the presence of elevation of cholestatic indices, the association of typical cholangiographic findings assessed by magnetic resonance cholangiography and the exclusion of causes of secondary sclerosing cholangitis. Liver biopsy is not routinely applied for the diagnosis of large duct PSC but is mandatory in the case of suspicion of small duct PSC or overlap with autoimmune hepatitis.
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Affiliation(s)
- Nora Cazzagon
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy (F.P.)
- Gastroenterology Unit, Azienda Ospedale—Università Padova, 35128 Padova, Italy
| | - Samantha Sarcognato
- Department of Pathology, Azienda ULSS2 Marca Trevigiana, 31100 Treviso, Italy
| | - Elisa Catanzaro
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy (F.P.)
- Gastroenterology Unit, Azienda Ospedale—Università Padova, 35128 Padova, Italy
| | - Emanuela Bonaiuto
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy (F.P.)
| | - Matteo Peviani
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy (F.P.)
- Gastroenterology Unit, Azienda Ospedale—Università Padova, 35128 Padova, Italy
| | - Francesco Pezzato
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy (F.P.)
- Gastroenterology Unit, Azienda Ospedale—Università Padova, 35128 Padova, Italy
| | - Raffaella Motta
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health—DCTV, University of Padova, 35128 Padova, Italy;
- Radiology Unit, Azienda Ospedale—Università Padova, 35128 Padova, Italy
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