دورية أكاديمية
Radiomics-based lymph nodes prognostic models from three MRI regions in nasopharyngeal carcinoma
العنوان: | Radiomics-based lymph nodes prognostic models from three MRI regions in nasopharyngeal carcinoma |
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المؤلفون: | Hui Xie, Wenjie Huang, Shaolong Li, Manqian Huang, Chao Luo, Shuqi Li, Chunyan Cui, Huali Ma, Haojiang Li, Lizhi Liu, Xiaoyi Wang, Gui Fu |
المصدر: | Heliyon, Vol 10, Iss 10, Pp e31557- (2024) |
بيانات النشر: | Elsevier, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
مصطلحات موضوعية: | Nasopharyngeal carcinoma, Lymph node, Radiomics, Magnetic resonance imaging, Science (General), Q1-390, Social sciences (General), H1-99 |
الوصف: | Accurate prediction of the prognosis of nasopharyngeal carcinoma (NPC) is important for treatment. Lymph nodes metastasis is an important predictor for distant failure and regional recurrence in patients with NPC. Traditionally, subjective radiological evaluation increases concerns regarding the accuracy and consistency of predictions. Radiomics is an objective and quantitative evaluation algorithm for medical images. This retrospective analysis was conducted based on the data of 729 patients newly diagnosed with NPC without distant metastases to evaluate the performance of radiomics pretreatment using magnetic resonance imaging (MRI)-determined metastatic lymph nodes models to predict NPC prognosis with three delineation methods. Radiomics features were extracted from all lymph nodes (ALN), largest lymph node (LLN), and largest slice of the largest lymph node (LSLN) to generate three radiomics signatures. The radiomics signatures, clinical model, and radiomics-clinic merged models were developed in training cohort for predicting overall survival (OS). The results showed that LSLN signature with clinical factors predicted OS with high accuracy and robustness using pretreatment MR-determined metastatic lymph nodes (C-index [95 % confidence interval]: 0.762[0.760–0.763]), providing a new tool for treatment planning in NPC. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2405-8440 |
Relation: | http://www.sciencedirect.com/science/article/pii/S2405844024075881; https://doaj.org/toc/2405-8440 |
DOI: | 10.1016/j.heliyon.2024.e31557 |
URL الوصول: | https://doaj.org/article/8db5658b30884e0e8d758e7f54e8ea2e |
رقم الأكسشن: | edsdoj.8db5658b30884e0e8d758e7f54e8ea2e |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 24058440 |
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DOI: | 10.1016/j.heliyon.2024.e31557 |