ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- The accuracy of radiomics in diagnosing tumor deposits and perineural invasion in rectal cancer: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- MRI Habitat Analysis for Preoperative Prediction of Perineural Invasion and Prognostic Stratification in Rectal Cancer.Journal of magnetic resonance imaging : JMRI · 2026Article
- Super-resolution MRI and 2.5D deep learning for intratumoral-peritumoral radiomics in preoperative prediction of rectal cancer perineural invasion.Insights into imaging · 2026Article
- MRI-based habitat, intra-, and peritumoral machine learning model for perineural invasion prediction in rectal cancer.Abdominal radiology (New York) · 2026Article
- Predicting esophageal cancer response to neoadjuvant therapy with magnetic resonance imaging radiomics.World journal of gastrointestinal oncology · 2025Article
- Pretreatment intravoxel incoherent motion histogram metrics and clinical characteristics for prediction of perineural invasion status and survival in patients with rectal cancer.Insights into imaging · 2025Article
- The value of radiomics and deep learning based on PET/CT in predicting perineural nerve invasion in rectal cancer.Abdominal radiology (New York) · 2025Article
- Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging.Journal of imaging informatics in medicine · 2025Article
- Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study.Journal of imaging informatics in medicine · 2025Article
- AI-assisted compressed sensing MRI improves imaging quality in rectal cancer: a comparative study with conventional acceleration techniques.Quantitative imaging in medicine and surgery · 2025Article
- Amide proton transfer-weighted MRI for assessing rectal adenocarcinoma T-staging and perineural invasion: a prospective study.European radiology · 2025Article
- Application of cellular microstructural diffusion MRI (cell size imaging) in rectal lesions: a preliminary study.Frontiers in oncology · 2025Article
- Combination of single-source dual-energy computed tomography (CT) parameters and extracellular volume fraction for predicting lymphovascular and perineural invasion in colorectal cancer.Quantitative imaging in medicine and surgery · 2024Article
- Cervical cancer-produced neuromedin-B reprograms Schwann cells to initiate perineural invasion.Cell death & disease · 2024Article
- Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study.World journal of gastroenterology · 2024Article
- The Role of Radiomics in Rectal Cancer.Journal of gastrointestinal cancer · 2023Review
- Preoperative assessment of peripheral vascular invasion of pancreatic ductal adenocarcinoma based on high-resolution MRI.BMC cancer · 2023Article
- High-resolution integrated dynamic shimming diffusion-weighted imaging (DWI) in the assessment of rectal cancer.European radiology · 2023Article
- Golden-angle radial sparse parallel magnetic resonance imaging of rectal perfusion: utility in the diagnosis of poorly differentiated rectal cancer.Quantitative imaging in medicine and surgery · 2023Article
- Feasibility of high-resolution readout-segmented echo-planar imaging with simultaneous multislice imaging in assessing rectal cancer.Abdominal radiology (New York) · 2023Article
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8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundTo establish and validate a high-resolution magnetic resonance imaging (HRMRI)-based radiomic nomogram for prediction of preoperative perineural invasion (PNI) of rectal cancer (RC).
methodsOur 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.
resultsThe 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.
conclusionsHRMRI-based radiomic nomogram could be helpful in the prediction of preoperative PNI in RC patients.
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