Magnetic Resonance Imaging Radiomics-Based Model for Prediction of Lymph Node Metastasis in Cervical Cancer

The MRI radiomics model, leveraging T2WI combined with ADC maps, offers an effective method for predicting LNM in cervical cancer patients.

Authors

Publication Details

Journal
International Journal of General Medicine
Published
2025-03-01
DOI
https://doi.org/10.2147/ijgm.s491986
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Magnetic Resonance Imaging Radiomics-Based Model for Prediction of Lymph Node Metastasis in Cervical Cancer

Lina Lu, Zhenghui Shi
1 citations
International Journal of General Medicine
Radiomics and Machine Learning in Medical Imaging
1.36
article

Magnetic Resonance Imaging Radiomics-Based Model for Prediction of Lymph Node Metastasis in Cervical Cancer

Lina Lu, Zhenghui Shi
article en
1 citations

Abstract

The MRI radiomics model, leveraging T2WI combined with ADC maps, offers an effective method for predicting LNM in cervical cancer patients.

International Journal of General MedicineVol. Volume 18
Openalex Percentile: Top 23%
Radiomics and Machine Learning in Medical Imaging
1.36
DOIOpen Access PDFOpenAlex
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Magnetic Resonance Imaging Radiomics-Based Model for Prediction of Lymph Node Metastasis in Cervical Cancer — Lina Lu, Zhenghui Shi · International Journal of General Medicine (2025) | TGRS Research Map | TGRS