Evidence map›Paper›PMID 40613971›Full record

ArticleLa Radiologia medica2025

Assessment of magnetic resonance image compilation (MAGiC) abilities of therapeutic selection and prediction on recurrence risk factors and short-term treatment efficacy in cervical cancer.

Xiaorong Ou, Hui Liu, Weiyin Vivian Liu, Yue Li, Wenguang Liu, Yu Bai, Jinbiao Chen, ZhengHao Deng, Wenzheng Li, Yigang Pei

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Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Xiaorong OuDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Hui LiuDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Weiyin Vivian LiuMR Research, GE Healthcare, Beijing, People's Republic of China.
Yue LiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Wenguang LiuDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Yu BaiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Jinbiao ChenNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
ZhengHao DengNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Wenzheng LiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Yigang PeiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. xypyg0731@csu.edu.cn.ORCID http://orcid.org/0000-0001-6841-3512

Funding

Geriatric Research Education and Clinical Center 2022LNJJ08Healthcare Commission Project of Hunan Province 20233006Natural Science Foundation of Hunan Province 2023JJ30865teaching reform program of Central South Universit 2023jy079
6 · The paper itself

Abstract

objectivesTo investigate the feasibility of MAGiC (hereafter, sy-T2WI; T1, T2, and PD maps) in determination of treatment plan and prediction of recurrence risk factors (RRF) and short-term treatment efficacy (STE) in patients with cervical cancer (CC) using hr-T2WI and DWI as reference standards.

methods119 consecutive CC patients who underwent MAGiC, hr-T2WI and DWI were prospectively recruited from October 2021 to March 2024. The subjective evaluation of image quality and tumor staging using sy-T2WI and hr-T2WI was conducted. The accuracy, sensitivity and specificity of sy-T2WI were analyzed for selection of a treatment strategy (stage IB-IIA: surgical operation; stage IIB-IVA: CCRT). RRF and STE were evaluated in staging IB-IIA and IIB-IVA CC patients respectively. Then, the area under the curve (AUC) was used to objectively predict RRF and STE using the quantitative T1, T2, PD maps, their combinations, and apparent diffusion coefficient (ADC).

resultsThere was no significant difference of image quality (all P > 0.05), but a strong agreement on tumor staging (Kappa value = 0.935; p < 0.001) between sy-T2WI and hr-T2WI. The accuracy, sensitivity, and specificity of sy-T2WI in deciding treatment strategies were 0.908, 0.908, and 0.999, respectively. Furthermore, the combination of T1 and T2 values was superior to ADC values for predicting RRF (AUC: 0.980 vs. 0.776; p = 0.005) in staging IB-IIA and STE (AUC: 0.982 vs. 0.737; p < 0.001) in IIB-IVA CC subjects.

conclusionsMAGiC is a promising technique for determination on treatment selection, RRF prediction and STE prognosis in CC patients as its performance is equivalent and even superior to hr-T2WI and DWI.

Indexed as

Magnetic Resonance ImagingNeoplasm Recurrence, LocalUterine Cervical NeoplasmsAdultAgedDiffusion Magnetic Resonance ImagingFeasibility StudiesFemaleHumansMiddle AgedNeoplasm StagingPredictive Value of TestsProspective StudiesRisk FactorsSensitivity and SpecificityTreatment OutcomeMagnetic resonance imagingPatient care planningRisk factorsTreatment outcomeUterine cervical neoplasms

Identifiers

PMID40613971
PMCPMC12454491

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.