Evidence map›Paper›PMID 41199184›Full record

ArticleBMC medical imaging2025

A novel synthetic MRI for discrimination of oral cavity and oropharynx malignancy.

Rui Wang, Qifan Ma, Yong Zhang, Jie Shi, Hongbo Zhao, Ying Yuan, Xiaofeng Tao

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Article in BMC medical imaging, 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

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7 authors.

Rui WangDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Qifan MaDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Yong ZhangMR Research, GE Healthcare, Shanghai, China.
Jie ShiMR Research, GE Healthcare, Shanghai, China.
Hongbo ZhaoDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. hongbo-2@163.com.
Ying YuanDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. yuany83@163.com.
Xiaofeng TaoDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. cjr.taoxiaofeng@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the discriminative performance of morphologic and quantitative images derived from synthetic MRI in oral cavity and oropharynx lesions.

methodsA total of 65 patients with 69 lesions and 5 healthy volunteers underwent preoperative MRI scans using the pre-contrast synthetic MRI sequence called MAGiC, which generates morphologic and quantitative images. The repeatability of the quantitative values was assessed in healthy volunteers using the coefficient of variation (CV) and Bland-Altman plots. The quantitative values were measured, and subsequent histogram analysis was conducted on the images obtained by MAGiC to differentiate between benign and malignant lesions. Logistic regression calculated prediction probabilities for each index, combining multiple indices to generate receiver operating characteristic (ROC) curves, which were compared using the Delong test.

resultsThe quantitative values derived from the MAGiC sequence exhibited high repeatability with CV below 15%. The directly measured T1 and T2 values within the lesions exhibited significant differences (P < 0.01). Moreover, notable differences were observed in the histogram features of Energy and Total Energy for differentiation (P < 0.05). The area under the curve (AUC) for histogram features extracted from synthetic morphologic images was 0.826, while for synthetic quantitative images was 0.833. The diagnostic accuracy was further enhanced by integrating synthetic morphologic and quantitative images, resulting in an optimal AUC of 0.936.

conclusionAs a time-efficient synthetic sequence, MAGiC offers an alternative approach for preoperative differentiation of oral cavity and oropharynx lesions with enhanced diagnostic efficacy in the absence of contrast. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Magnetic Resonance ImagingMouth NeoplasmsOropharyngeal NeoplasmsAdultAgedDiagnosis, DifferentialFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedMouthOropharynxReproducibility of ResultsHistogram featuresOral cavity and oropharynxSynthetic MRI

Identifiers

PMID41199184
PMCPMC12593876

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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.