An MRI‐Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors

• Published in: Journal of magnetic resonance imaging 2023-08, Vol.58 (2), p.520-531
• Main Authors: Wang, Tongyu, Hao, Jingwei, Gao, Aixin, Zhang, Peng, Wang, Hexiang, Nie, Pei, Jiang, Yan, Bi, Shucheng, Liu, Shunli, Hao, Dapeng
• Format: Article
• Language: English
• Subjects: Algorithms; Correlation coefficient; Correlation coefficients; Female; Field strength; Head & neck cancer; Humans; Image processing; Irritable Bowel Syndrome; Ki-67 Antigen; Magnetic Resonance Imaging; Male; Medical imaging; Medical prognosis; Metastases; Neoplasms; Nomograms; Population studies; Radiomics; Rank tests; recurrence; Regression analysis; Retrospective Studies; Risk assessment; Signatures; sinonasal malignant tumors; Statistical analysis; Statistical tests; Survival analysis; Tumors
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.28548

Background Sinonasal malignant tumors (SNMTs) have a high recurrence risk, which is responsible for the poor prognosis of patients. Assessing recurrence risk in SNMT patients is a current problem. Purpose To establish an MRI‐based radiomics nomogram for assessing relapse risk in patients with SNMT. Study Type Retrospective. Population A total of 143 patients with 68.5% females (development/validation set, 98/45 patients). Field Strength/Sequence A 1.5‐T and 3‐T, fat‐suppressed fast spin echo (FSE) T2‐weighted imaging (FS‐T2WI), FSE T1‐weighted imaging (T1WI), and FSE contrast‐enhanced T1WI (T1WI + C). Assessment Three MRI sequences were used to manually delineate the region of interest. Three radiomics signatures (T1WI and FS‐T2WI sequences, T1WI + C sequence, and three sequences combined) were built through dimensional reduction of high‐dimensional features. The clinical model was built based on clinical and MRI features. The Ki‐67‐based and tumor‐node‐metastasis (TNM) model were established for comparison. The radiomics nomogram was built by combining the clinical model and best radiomics signature. The relapse‐free survival analysis was used among 143 patients. Statistical Tests The intraclass/interclass correlation coefficients, univariate/multivariate Cox regression analysis, least absolute shrinkage and selection operator Cox regression algorithm, concordance index (C index), area under the curve (AUC), integrated Brier score (IBS), DeLong test, Kaplan–Meier curve, log‐rank test, optimal cutoff values. A P value