Prediction of the World Health Organization Grade of rectal neuroendocrine tumors based on CT histogram analysis
| العنوان: | Prediction of the World Health Organization Grade of rectal neuroendocrine tumors based on CT histogram analysis |
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| المؤلفون: | Ping Liang, Fangqin Tan, Daoyu Hu, Chuou Xu, Mingzhen Chen, Shichao Li, Zhen Li, Yaqi Duan, Ihab R. Kamel |
| المصدر: | Cancer Medicine, Vol 10, Iss 2, Pp 595-604 (2021) Cancer Medicine |
| بيانات النشر: | Wiley, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Adult, Male, 0301 basic medicine, Cancer Research, Percentile, Intraclass correlation, Neuroendocrine tumors, World Health Organization, lcsh:RC254-282, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, Histogram, Image Processing, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, Retrospective Studies, Original Research, Receiver operating characteristic, Rectal Neoplasms, business.industry, histogram analysis, Area under the curve, Clinical Cancer Research, computed tomography, Middle Aged, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, medicine.disease, Neuroendocrine Tumors, 030104 developmental biology, ROC Curve, the grade rectal neuroendocrine tumors, Oncology, Skewness, 030220 oncology & carcinogenesis, Kurtosis, Female, Neoplasm Grading, Tomography, X-Ray Computed, Nuclear medicine, business, Follow-Up Studies |
| الوصف: | Objectives To investigate the diagnostic value of contrast‐enhanced computed tomography (CECT) histogram analysis in predicting the World Health Organization (WHO) grade of rectal neuroendocrine tumors (R‐NETs). Materials and Methods A total of 61 (35 G1, 12 G2, 10 G3, and 4 NECs) patients who underwent preoperative CECT and treated with surgery to be confirmed as R‐NETs were included in this study from January 2014 to May 2019. We depicted ROIs and measured the CECT texture parameters (mean, median, 10th, 25th, 75th, 90th percentiles, skewness, kurtosis, and entropy) from arterial phase (AP) and venous phase (VP) images by two radiologists. We calculated intraclass correlation coefficient (ICC) and compared the histogram parameters between low‐grade (G1) and higher grade (HG) (G2/G3/NECs) by applying appropriate statistical method. We obtained the optimal parameters to identify G1 from HG using receiver operating characteristic (ROC) curves. Results The capability of AP and VP histogram parameters for differentiating G1 from HG was similar in several histogram parameters (mean, median, 10th, 25th, 75th, and 90th percentiles) (all p CECT histogram parameters, including arterial phase and venous phase, can be used as excellent indicators for predicting G1 and HG of rectal neuroendocrine tumors, and the size of the tumor is also an important independent predictor. |
| تدمد: | 2045-7634 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7abb1796092c7d7361f342777e8895df https://doi.org/10.1002/cam4.3628 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....7abb1796092c7d7361f342777e8895df |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20457634 |
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