High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal
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SPECIAL SECTION: RECTAL CANCER
High‑resolution MRI‑based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer Yan‑song Yang1,2 · Feng Feng2 · Yong‑juan Qiu2 · Gui‑hua Zheng3 · Ya‑qiong Ge4 · Yue‑tao Wang1 Received: 13 July 2020 / Revised: 19 August 2020 / Accepted: 30 August 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Purpose To establish and validate two predictive radiomics models for preoperative prediction of lymph node metastases (LNMs) and tumor deposits (TDs) respectively in rectal cancer (RC) patients. Methods A total of 139 RC patients (98 in the training cohort and 41 in the validation cohort) were enrolled in the present study. High-resolution magnetic resonance images (HRMRI) were retrieved for tumor segmentation and feature extraction. HRMRI findings of RC were assessed by three experienced radiologists. Two radiomics nomograms were established by integrating the clinical risk factors, HRMRI findings and radiomics signature. Results The predictive nomogram of LNMs showed good predictive performance (area under the curve [AUC], 0.90; 95% confidence interval [CI] 0.83–0.96) which was better than clinico-radiological (AUC, 0.83; 95% CI 0.74–0.93; Delong test, p = 0.017) or radiomics signature-only model (AUC, 0.77; 95% CI 0.67–0.86; Delong test, p = 0.003) in training cohort. Application of the nomogram in the validation cohort still exhibited good performance (AUC, 0.87; 95% CI 0.76–0.98). The accuracy, sensitivity and specificity of the combined model in predicting LNMs was 0.86,0.79 and 0.91 in training cohort and 0.83,0.85 and 0.82 in validation cohort. As for TDs, the predictive efficacy of the nomogram (AUC, 0.82; 95% CI 0.71–0.93) was not significantly higher than radiomics signature-only model (AUC, 0.80; 95% CI 0.69–0.92; Delong test, p = 0.71). Radiomics signature-only model was adopted to predict TDs with accuracy=0.76, sensitivity=0.72 and specificity=0.94 in training cohort and 0.68, 0.62 and 0.97 in validation cohort. Conclusion HRMRI-based radiomics models could be helpful for the prediction of LNMs and TDs preoperatively in RC patients. Keywords Rectal cancer · Magnetic resonance imaging · Radiomics · Nomogram · Lymph nodes
Introduction Electronic supplementary material The online version of this article (doi:https://doi.org/10.1007/s00261-020-02733-x) contains supplementary material, which is available to authorized users. * Yue‑tao Wang yuetao‑[email protected] 1
Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No.185, Juqian Street, Changzhou 213003, Jiangsu, China
2
Department of Radiology, Affiliated Cancer Hospital of Nantong University, Nantong 226001, Jiangsu, China
3
Department of Pathology, Affiliated Cancer Hospital of Nantong University, Nantong 226001, Jiangsu, China
4
GE Healthcare, Shanghai 210000, China
Colorectal cancer (CRC) is a common gastrointestinal malignancy that cause significant morbidity and mortality and approximately
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