1Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China; 2XinHua College of Sun Yat-sen University, Guangzhou 510520, China; 3Department of Oncology, Air Force Hospital of Southern Theater Command of the People's Liberation Army, Guangzhou 510602,China
AbstractObjective Based on the AAPM TG-263, a Content-Based Standardizing Nomenclatures (CBSN) was proposed to explore the feasibility of its standardization verification for organs at risk (OAR) of nasopharyngeal carcinoma (NPC). Methods The radiotherapy structure files of 855 patients with nasopharyngeal carcinoma (NPC) receiving intensity-modulated radiotherapy (IMRT) from 2017 to 2019(15 of whom showed clinical anomalous structures) were retrospectively collected and processed. The Matlab self-developed software was used to obtain the image position, geometric features, first-order gray histogram, and the Gray-level Co-occurrence Matrix′s texture features of the OAR contour outlined by the doctor to establish the CBSN Location Verification model and CBSN Knowledge Library. Fisher discriminant analysis was employed to establish a CBSN OAR classification model, which was evaluated using self-validation, cross-validation, and external validation, respectively. Results 99%(69/70) of the simulated anomalous structures were outside the 90% reference range of the CBSN Knowledge Library and the characteristic parameters significantly differed among different OARs (all P<0.001). The accuracy rates of self-validation, cross-validation and external verification of the CBSN OAR classification model were 92.1%, 92.0% and 91.8%, respectively. Fourteen cases of clinical abnormal structures were successfully detected by CBSN with an accuracy rate of 93%(14/15). In the simulation test, the accuracy of the left and right location verification reached 100%, such as detecting the right eye lens named Len_L. Conclusion CBSN can be used for OAR verification of NPC, providing reference for multi-center cooperation and standardized radiotherapy of NPC patients.
Fund:Natural Science Foundation of Guangdong Province (2017A030310217);Pearl River S&T Nova Program of Guangzhou (201710010162);Innovation and Entrepreneurship Training Program for College Student Innovation and Entrepreneurship (20191390109, 201713902050)
Corresponding Authors:
Yang Xin, Email:yangxin@sysucc.org.cn
Cite this article:
. Study of standardizing nomenclatures for organs at risk of nasopharyngeal carcinoma via the contouring content-based image retrieval method[J]. Chinese Journal of Radiation Oncology, 2021, 30(8): 803-810.
. Study of standardizing nomenclatures for organs at risk of nasopharyngeal carcinoma via the contouring content-based image retrieval method[J]. Chinese Journal of Radiation Oncology, 2021, 30(8): 803-810.
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