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Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study.
Gong W, Liu X, Wang M, Hu X, Yan G, Liu K, Li Y, Zhang T

Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Front Med (Lausanne).

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Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Information

Document Title Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study.
Author / Organization Gong W, Liu X, Wang M, Hu X, Yan G, Liu K, Li Y, Zhang T
Subject & Discipline Front Med (Lausanne)
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-122404
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »