Research Progress of MRI Radiomics in Diagnosis, Treatment and Prognosis of Cervical Cancer

cervical cancer (CC) is one of the most common gynecological malignancies. Early diagnosis can improve the prognosis of patients. Magnetic resonanceimagin (MRI) can clearly show the size and location of tumor lesions and the relationship with adjacent tissues, and has high sensitivity and specificity. It is an important evaluation method for the diagnosis, staging and prognosis of CC. Relative to traditional MRI images, radiomics is analyzed by extracting a large number of features from the image images, which can be used to analyze the image, it has been gradually used in CC lymph node metastasis, parauterine invasion, vascular invasion, tumor staging and prognosis. Therefore, this article reviews the research progress of MRI-based radiomics in the diagnosis, treatment and prognosis of CC.

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Publication Details

Journal
International Journal of Biology and Life Sciences
Published
2025-03-27
DOI
https://doi.org/10.54097/j9twkd93
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Research Progress of MRI Radiomics in Diagnosis, Treatment and Prognosis of Cervical Cancer

Qixin Wu, D. Du, Renqing Zhao, Jing‐Kai Huang
International Journal of Biology and Life Sciences
Radiomics and Machine Learning in Medical Imaging
article

Research Progress of MRI Radiomics in Diagnosis, Treatment and Prognosis of Cervical Cancer

Qixin Wu, D. Du, Renqing Zhao, Jing‐Kai Huang
article en

Abstract

cervical cancer (CC) is one of the most common gynecological malignancies. Early diagnosis can improve the prognosis of patients. Magnetic resonanceimagin (MRI) can clearly show the size and location of tumor lesions and the relationship with adjacent tissues, and has high sensitivity and specificity. It is an important evaluation method for the diagnosis, staging and prognosis of CC. Relative to traditional MRI images, radiomics is analyzed by extracting a large number of features from the image images, which can be used to analyze the image, it has been gradually used in CC lymph node metastasis, parauterine invasion, vascular invasion, tumor staging and prognosis. Therefore, this article reviews the research progress of MRI-based radiomics in the diagnosis, treatment and prognosis of CC.

International Journal of Biology and Life SciencesVol. 9(3)
Openalex Percentile: Top 91%
Radiomics and Machine Learning in Medical Imaging
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