Value of diffusion-weighted imaging in preoperative evaluation and prediction of postoperative supplementary therapy for patients with cervical cancer

dc.contributor.authorLiu, Liying
dc.contributor.authorWang, Shuo
dc.contributor.authorYu, Tao
dc.contributor.authorBai, Haoyan
dc.contributor.authorLiu, Jingyu
dc.contributor.authorWang, Danbo
dc.contributor.authorLuo, Yahong
dc.date.accessioned2023-04-29T03:40:49Z
dc.date.available2023-04-29T03:40:49Z
dc.date.issued2022-01
dc.description.abstractBackground: With the continuous progress of medical imaging technology, evaluation of cervical cancer is increasingly dependent on imaging methods. Diffusion-weighted imaging (DWI) plays an important role, and apparent diffusion coefficient (ADC) value is a unique quantitative parameter in the research of cervical cancer. Methods: In this prospective study, a total of 273 patients diagnosed with stage IB1 to IIIC1 cervical cancer based on the International Federation of Gynecology and Obstetrics (FIGO) 2018 staging guidelines who underwent pelvic 3.0T magnetic resonance imaging (MRI), including MRI and DWI, were enrolled, and the diagnostic value of preoperative staging of cervical cancer was compared between the MRI and DWI groups. The DWI group was used to explore the potential association of mean ADC (ADCmean) with different pathological characteristics and receiver operating characteristic (ROC) curves of ADCmean generated to predict the appropriate postoperative supplementary therapy. Results: The diagnostic coincidence rate of DWI was higher than that of MRI in preoperative staging of cervical cancer (χ2, P<0.05) and determined as stages IB1 + IB2 + IIA1 (90.91%), IB3 + IIA2 (93.48%), and IIIC1p (95.16%). The DWI staging results were consistent with postoperative pathological staging (Kappa value =0.865, P<0.001). We observed significant differences in ADCmean values in relation to pathological type, histological grade, depth of stromal infiltration, tumor diameter, lymphovascular invasion, and pelvic lymph node metastasis of cervical cancer (all P<0.05). The area under the ROC curve (AUC) was 0.815, with the best predictive value for postoperative supplementary therapy in cervical cancer (sensitivity 80.0%, specificity 74.0%) at ADCmean of 0.910×10−3 mm2/s. Conclusions: The DWI is a useful tool for preoperative evaluation of cervical cancer. In local cervical lesions, ADCmean varies in relation to different clinicopathological characteristics and a reference index of <0.910×10−3 mm2/s can be effectively applied to predict the need for postoperative supplementary therapy.en_US
dc.identifier.citationLiu, L., Wang, S., Yu, T., Bai, H., Liu, J., Wang, D., & Luo, Y. (2022). Value of diffusion-weighted imaging in preoperative evaluation and prediction of postoperative supplementary therapy for patients with cervical cancer. Annals of translational medicine, 10(2), 120. https://doi.org/10.21037/atm-21-5319en_US
dc.identifier.otherDOI: 10.21037/atm-21-5319
dc.identifier.urihttps://hdl.handle.net/20.500.14041/6344
dc.language.isoen_USen_US
dc.publisherAnnals of Translational Medicineen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectDiffusion-Weighted Imaging (DWI)en_US
dc.subjectCervical Canceren_US
dc.subjectStageen_US
dc.subjectApparent Diffusion Coefficient (ADC)en_US
dc.subjectSupplementary Therapyen_US
dc.titleValue of diffusion-weighted imaging in preoperative evaluation and prediction of postoperative supplementary therapy for patients with cervical canceren_US
dc.typeArticleen_US
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