Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3

The study confirms the utility of a combined model of MRI deep transfer learning, radiomic features, and clinical factors for preoperative classification of stage T2 vs. T3 rectal cancer, offering significant technological support for precise diagnosis and potential clinical application.

Authors

Lifang Fan (ORCID: https://orcid.org/0000-0002-3996-497X)
Huazhang Wu (ORCID: https://orcid.org/0000-0002-5482-3761)
Shujian Wu (ORCID: https://orcid.org/0000-0002-3264-6901)
Jinsong Zhao (ORCID: https://orcid.org/0000-0003-0572-8431)
Xiangming Zhu (ORCID: https://orcid.org/0000-0001-5623-3477)
Yimin Wu

Institutions

Wannan Medical College (CN)
Bengbu Medical College (CN)
First Affiliated Hospital of Wannan Medical College (CN)
East China Normal University (CN)

Publication Details

Journal: BMC Gastroenterology
Published: 2024-08-05
DOI: https://doi.org/10.1186/s12876-024-03316-6
Citations: 12
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 4.85

Funders

Anhui Provincial Department of Education
Wannan Medical College

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article

Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3

Lifang Fan, Huazhang Wu, Shujian Wu, Jinsong Zhao et al.

Aug 5, 2024

12 citations

BMC Gastroenterology

Radiomics and Machine Learning in Medical Imaging

4.85

article

Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3

Lifang Fan, Huazhang Wu, Shujian Wu, Jinsong Zhao, Xiangming Zhu, Yimin Wu

August 5, 2024article en

12 citations

Abstract

The study confirms the utility of a combined model of MRI deep transfer learning, radiomic features, and clinical factors for preoperative classification of stage T2 vs. T3 rectal cancer, offering significant technological support for precise diagnosis and potential clinical application.

BMC GastroenterologyVol. 24(1)

Wannan Medical College (CN), Bengbu Medical College (CN), First Affiliated Hospital of Wannan Medical College (CN), East China Normal University (CN)

Anhui Provincial Department of Education, Wannan Medical College

Openalex Percentile: Top 5%

Radiomics and Machine Learning in Medical Imaging

4.85

DOI Open Access PDF OpenAlex

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Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3 — Lifang Fan, Huazhang Wu, et al. · BMC Gastroenterology (2024) | TGRS Research Map | TGRS