MRI Radiomics as a Biomarker for Predicting Survival in Patients with Cervical Cancer

Introduction: Cervical cancer is a prevalent form of cancer among women and a significant contributor tocancer-related mortality worldwide. Although radical hysterectomy is the standard treatment, many patientsexperience recurrence or metastasis, resulting in a relatively low ۵-year survival rate. Therefore, it is crucial topredict the risk of recurrence before treatment to develop personalized treatment plans. Current methods, suchas biopsy or surgery, have limitations like sampling errors and interobserver variability, and they fail to assesstumor heterogeneity. Non-invasive prognostic biomarkers are needed to address these limitations. Radiomics,an emerging approach, offers a promising solution by extracting a comprehensive set of high-dimensionalfeatures from medical images. This study aims to evaluate the potential of MRI radiomics as a biomarker forpredicting survival outcomes in patients with cervical cancer.Methods: This study was conducted as a comprehensive review by performing a literature search in multipleinformation databases, including PubMed, Embase, ProQuest, and Web of Science, covering the period from۲۰۱۸ to ۲۰۲۳, using the keywords "Biomarker, MRI Radiomics, Cervical Cancer, Survival" to identify allrelevant studies published in English. Additionally, articles that cited related studies were also searched usingPubMed and Google Scholar citation tracking tools to find any relevant publications.Results: The radiomic score (Rad-score) were significantly associated with worse disease-free survival (DFS)and overall survival (OS) in the training and validation cohorts. The Rad-score demonstrated significantly betterpredictive performance for the estimation of PFS and OS compared with the clinicopathological models. For ۳-year DFS prediction, combined models, which integrated the Rad-score and clinicopathologic factors, achievedthe best performance for the prediction of PFS and OS with high c-index value, sensitivity and specificity.Conclusion: The MRI-based radiomics score has demonstrated its effectiveness in predicting progression-freesurvival (PFS) and overall survival (OS) in patients with cervical cancer, offering valuable information that canaid in clinical decision-making. As such, it holds the potential to serve as a surrogate biomarker, enhancing theprognostic capabilities prior to treatment.

کلیدواژه ها:

Biomarker ، MRI Radiomics ، Cervical Cancer ، Survival