Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network
10.3760/cma.j.cn112139-20191017-00515
- VernacularTitle:基于快速区域卷积神经网络胰腺癌增强CT自动识别系统的建立及临床测试
- Author:
Shujian YANG
1
;
Yun LU
;
Xuefeng ZHENG
;
Yuejuan ZHANG
;
Fangjie XIN
;
Pin SUN
;
Ying LI
;
Shisong LIU
;
Shuai LI
;
Yuting GUO
;
Shanglong LIU
Author Information
1. 青岛大学附属医院胃肠外科 266000
- Keywords:
Pancreatic neoplasms;
Diagnosis;
Faster R-CNN;
Clinical application
- From:
Chinese Journal of Surgery
2020;58(7):520-524
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value.Methods:In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from January 2013 to May 2016 at the Affiliated Hospital of Qingdao University were collected retrospectively, and 2 614 imaging sequences were input into the faster R-CNN system as training dataset to create an automatic image recognition model, which was then validated by reading 1 410 enhanced CT images of 135 cases of pancreatic cancer.In order to identify its effectiveness, 3 750 CT images of 150 patients with pancreatic lesions were read and a followed-up was carried out.The accuracy and recall rate in detecting nodules were recorded and regression curves were generated.In addition, the accuracy, sensitivity and specificity of Faster R-CNN diagnosis were analyzed, the ROC curves were generated and the area under the curves were calculated.Results:Based on the enhanced CT images of 135 cases, the area under the ROC curve was 0.927 calculated by Faster R-CNN. The accuracy, specificity and sensitivity were 0.902, 0.913 and 0.801 respectively.After the data of 150 patients with pancreatic cancer were verified, 893 CT images showed positive and 2 857 negative.Ninety-eight patients with pancreatic cancer were diagnosed by Faster R-CNN.After the follow-up, it was found that 53 cases were post-operatively proved to be pancreatic ductal carcinoma, 21 cases of pancreatic cystadenocarcinoma, 12 cases of pancreatic cystadenoma, 5 cases of pancreatic cyst, and 7 cases were untreated.During 5 to 17 months after operation, 6 patients died of abdominal tumor infiltration, liver and lung metastasis.Of the 52 patients who were diagnosed negative by Faster R-CNN, 9 were post-operatively proved to be pancreatic ductal carcinoma.Conclusion:Faster R-CNN system has clinical value in helping imaging physicians to diagnose pancreatic cancer.
