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For: Yang Z, Gong J, Li J, Sun H, Pan Y, Zhao L. The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal cancer: a systematic review and meta-analysis. Int J Surg 2023;109:2451-2466. [PMID: 37463039 PMCID: PMC10442126 DOI: 10.1097/js9.0000000000000441] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/01/2023] [Indexed: 08/21/2023]
Number Cited by Other Article(s)
1
Ying Y, Ju R, Wang J, Li W, Ji Y, Shi Z, Chen J, Chen M. Accuracy of machine learning in diagnosing microsatellite instability in gastric cancer: A systematic review and meta-analysis. Int J Med Inform 2025;193:105685. [PMID: 39515046 DOI: 10.1016/j.ijmedinf.2024.105685] [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: 05/24/2024] [Revised: 10/21/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024]
2
Chen J, Liu S, Lin Y, Hu W, Shi H, Liao N, Zhou M, Gao W, Chen Y, Shi P. The quality and accuracy of radiomics model in diagnosing osteoporosis: a systematic review and meta-analysis. Acad Radiol 2024:S1076-6332(24)00940-1. [PMID: 39701845 DOI: 10.1016/j.acra.2024.11.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 11/05/2024] [Accepted: 11/25/2024] [Indexed: 12/21/2024]
3
Tu L, Deng Y, Chen Y, Luo Y. Accuracy of deep learning in the differential diagnosis of coronary artery stenosis: a systematic review and meta-analysis. BMC Med Imaging 2024;24:243. [PMID: 39285323 PMCID: PMC11403958 DOI: 10.1186/s12880-024-01403-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 08/19/2024] [Indexed: 09/20/2024]  Open
4
Wang JL, Tang LS, Zhong X, Wang Y, Feng YJ, Zhang Y, Liu JY. A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. Front Immunol 2024;15:1405146. [PMID: 38947338 PMCID: PMC11211602 DOI: 10.3389/fimmu.2024.1405146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/29/2024] [Indexed: 07/02/2024]  Open
5
Abbaspour E, Karimzadhagh S, Monsef A, Joukar F, Mansour-Ghanaei F, Hassanipour S. Application of radiomics for preoperative prediction of lymph node metastasis in colorectal cancer: a systematic review and meta-analysis. Int J Surg 2024;110:3795-3813. [PMID: 38935817 PMCID: PMC11175807 DOI: 10.1097/js9.0000000000001239] [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: 12/27/2023] [Accepted: 02/19/2024] [Indexed: 06/29/2024]
6
Feng F, Chu Y, Yao Y, Xu B, Song Q. An anoikis-related lncRNA signature may predict the prognosis, immune infiltration, and drug sensitivity in esophageal cancer. Heliyon 2024;10:e31202. [PMID: 38803953 PMCID: PMC11128934 DOI: 10.1016/j.heliyon.2024.e31202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024]  Open
7
Zhu C, Sun W, Chen C, Qiu Q, Wang S, Song Y, Ma X. Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram. Eur J Med Res 2024;29:217. [PMID: 38570887 PMCID: PMC10993504 DOI: 10.1186/s40001-024-01746-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 02/25/2024] [Indexed: 04/05/2024]  Open
8
Yang Z, Guan F, Bronk L, Zhao L. Multi-omics approaches for biomarker discovery in predicting the response of esophageal cancer to neoadjuvant therapy: A multidimensional perspective. Pharmacol Ther 2024;254:108591. [PMID: 38286161 DOI: 10.1016/j.pharmthera.2024.108591] [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: 08/23/2023] [Revised: 12/02/2023] [Accepted: 01/04/2024] [Indexed: 01/31/2024]
9
Sun S, Yao W, Wang Y, Yue P, Guo F, Deng X, Zhang Y. Development and validation of machine-learning models for the difficulty of retroperitoneal laparoscopic adrenalectomy based on radiomics. Front Endocrinol (Lausanne) 2023;14:1265790. [PMID: 38034013 PMCID: PMC10687448 DOI: 10.3389/fendo.2023.1265790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 11/03/2023] [Indexed: 12/02/2023]  Open
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