NDLI: High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer

Content Provider	Springer Nature : BioMed Central
Author	Yang, Yan-song Qiu, Yong-juan Zheng, Gui-hua Gong, Hai-peng Ge, Ya-qiong Zhang, Yi-fei Feng, Feng Wang, Yue-tao
Abstract	Background To establish and validate a high-resolution magnetic resonance imaging (HRMRI)-based radiomic nomogram for prediction of preoperative perineural invasion (PNI) of rectal cancer (RC). Methods Our retrospective study included 140 subjects with RC (99 in the training cohort and 41 in the validation cohort) who underwent a preoperative HRMRI scan between December 2016 and December 2019. All subjects underwent radical surgery, and then PNI status was evaluated by a qualified pathologist. A total of 396 radiomic features were extracted from oblique axial T2 weighted images, and optimal features were selected to construct a radiomic signature. A combined nomogram was established by incorporating the radiomic signature, HRMRI findings, and clinical risk factors selected by using multivariable logistic regression. Results The predictive nomogram of PNI included a radiomic signature, and MRI-reported tumor stage (mT-stage). Clinical risk factors failed to increase the predictive value. Favorable discrimination was achieved between PNI-positive and PNI-negative groups using the radiomic nomogram. The area under the curve (AUC) was 0.81 (95% confidence interval [CI], 0.71–0.91) in the training cohort and 0.75 (95% CI, 0.58–0.92) in the validation cohort. Moreover, our result highlighted that the radiomic nomogram was clinically beneficial, as evidenced by a decision curve analysis. Conclusions HRMRI-based radiomic nomogram could be helpful in the prediction of preoperative PNI in RC patients.
Related Links	https://cancerimagingjournal.biomedcentral.com/counter/pdf/10.1186/s40644-021-00408-4.pdf
Ending Page	10
Page Count	10
Starting Page	1
File Format	HTM / HTML
ISSN	14707330
DOI	10.1186/s40644-021-00408-4
Journal	Cancer Imaging
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2021-05-26
Access Restriction	Open
Subject Keyword	Oncology Cancer Research Imaging Radiology Nuclear Medicine Rectal cancer Magnetic resonance imaging Radiomics Nomogram Perineural invasion
Content Type	Text
Resource Type	Article
Subject	Radiological and Ultrasound Technology Radiology, Nuclear Medicine and Imaging Oncology
Journal Impact Factor	3.5/2023
5-Year Journal Impact Factor	4.3/2023

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