Appropriate management and treatment decisions for cervical cancer depend on accurate staging, but the differentiation between IIA and IIB by imaging assessment remains difficult. This retrospective study investigated the performance of intratumoral and peritumoral multi-parameter MRI texture information in differentiating IIA and IIB using non-invasive radiomics analysis, which was also compared with clinical factors and imaging assessment by radiologists. Among all the comparisons, peritumoral-based radiomics models outperformed the radiologists and performed the best. This study offers a viable approach in non-invasively and accurately differentiating IIA and IIB for cervical cancer based on peritumoral texture information.
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Jin et al. (2024) studied this question.
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