Identification of Metastatic Lymph Nodes in MR Imaging with Faster Region-Based Convolutional Neural Networks
| Autor: | Dianliang Zhang, Jinchuan Xi, Weitang Yuan, Hongwei Yao, Wang Guanrong, Shujian Yang, Qi An, Yuan Gao, Guangwei Liu, Yu Qiyue, Wenjian Xu, Jie Zhao, Xiaoming Zhou, Jinlong Ma, Jianli Zhang, Zhenqing Sun, Shuhao Liu, Dongshen Wang, Xianxiang Zhang, Dong Qian, Qingyao Wu, Xuefeng Zheng, Wei Liu, Lei Wang, Lei Ding, Yun Lu, Chunbo Zhao, Maoshen Zhang, Guiying Wang, Yugui Lian, Yunpeng Zhou, Qin Yao, Yuanxiang Gao, Jilin Hu, Zhongtao Zhang, Gang Xiao |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Male Cancer Research medicine.medical_specialty Image processing Convolutional neural network 03 medical and health sciences 0302 clinical medicine Image Processing Computer-Assisted Medicine Humans Medical diagnosis Lymph node medicine.diagnostic_test Receiver operating characteristic business.industry Magnetic resonance imaging Mr imaging Magnetic Resonance Imaging 030104 developmental biology medicine.anatomical_structure Oncology 030220 oncology & carcinogenesis Lymphatic Metastasis Female Lymph Radiology Lymph Nodes Neural Networks Computer business |
| Zdroj: | Cancer research. 78(17) |
| ISSN: | 1538-7445 |
| Popis: | MRI is the gold standard for confirming a pelvic lymph node metastasis diagnosis. Traditionally, medical radiologists have analyzed MRI image features of regional lymph nodes to make diagnostic decisions based on their subjective experience; this diagnosis lacks objectivity and accuracy. This study trained a faster region-based convolutional neural network (Faster R-CNN) with 28,080 MRI images of lymph node metastasis, allowing the Faster R-CNN to read those images and to make diagnoses. For clinical verification, 414 cases of rectal cancer at various medical centers were collected, and Faster R-CNN–based diagnoses were compared with radiologist diagnoses using receiver operating characteristic curves (ROC). The area under the Faster R-CNN ROC was 0.912, indicating a more effective and objective diagnosis. The Faster R-CNN diagnosis time was 20 s/case, which was much shorter than the average time (600 s/case) of the radiologist diagnoses. Significance: Faster R-CNN enables accurate and efficient diagnosis of lymph node metastases. Cancer Res; 78(17); 5135–43. ©2018 AACR. |
| Databáze: | OpenAIRE |
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