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Convolutional Neural Network to Predict the Local Recurrence of Giant Cell Tumor of Bone After Curettage Based on Pre-surgery Magnetic Resonance Images by Yifeng He; Jiapan Guo; Xiaoyi Ding; Peter M. A. van Ooijen; Yaping Zhang; An Chen; Matthijs Oudkerk; Xueqian Xie is a Medicine article available to read on EtoBox.

What is Convolutional Neural Network to Predict the Local Recurrence of Giant Cell Tumor of Bone After Curettage Based on Pre-surgery Magnetic Resonance Images about?

## Objective: To predict the local recurrence of giant cell bone tumors (gctb) on mr features and the clinical characteristics after curettage using a deep convolutional neural network (cnn). ## Methods: Mr images were collected from 56 patients with histopathologically confirmed gctb after curettage who were followed up for 5.8 years (range, 2.0 to 9.5 years). the inception v3 cnn architecture was fine-tuned by two categories of the mr datasets (recurrent and non-recurrent gctb) obtained through data augmentation and was validated using fourfold cross-validation to evaluate its generalization ability. twenty-eight cases (50%) were chosen as the training dataset for the cnn and four radiologists, while the remaining 28 cases (50%) were used as the test dataset. a binary logistic regression model was established to predict recurrent gctb by combining the cnn prediction and patient features (age and tumor location). accuracy and sensitivity were used to evaluate the prediction performance. ## Results: When comparing the cnn, cnn regression, and radiologists, the accuracies of the cnn and cnn regression models were 75.5% (95% ci 55.1 to 89.3%) and 78.6% (59.0 to 91.7%), respectively,

Who reads Convolutional Neural Network to Predict the Local Recurrence of Giant Cell Tumor of Bone After Curettage Based on Pre-surgery Magnetic Resonance Images?

Author

Yifeng He; Jiapan Guo; Xiaoyi Ding; Peter M. A. van Ooijen; Yaping Zhang; An Chen; Matthijs Oudkerk; Xueqian Xie

Published

2019

Language

EN

Field

Medicine (Health Sciences)