Semi-automatic quantitative analysis of the pelvic bony structures on apparent diffusion coefficient maps based on deep learning: establishment of reference ranges

Quantitative Imaging in Medicine and Surgery

article

Xiang Liu¹  Chao Han¹  Ziying Lin¹  Zhaonan Sun¹  Yaofeng Zhang²  Xiangpeng Wang²  Xiaodong Zhang¹  Xiaoying Wang¹ 

[1] Department of Radiology , Peking University First Hospital;Beijing Smart Tree Medical Technology Co. Ltd.

关键词: Quantitative evaluation;    apparent diffusion coefficient maps (ADC maps);    reference range;    pelvic bones;    convolutional neural network (CNN);   

DOI  :  10.21037/qims-21-123

学科分类：外科医学

来源: AME Publications

【 摘 要 】

Background: Apparent diffusion coefficient (ADC) maps provide quantitative information on both normal and abnormal tissues. However, it is difficult to distinguish between these tissues unless consistent and precise ADC values can be obtained from normal tissues. For this study we developed a deep learning-based convolutional neural network (CNN) for pelvic bony structure segmentation and established the reference ranges of ADC parameters for normal pelvic bony structures. Methods: We retrospectively enrolled 767 prostate cancer (PCa) patients for quantitative ADC analyses of normal pelvic bony structures. A subset of 288 patients who did not receive treatment for PCa (S1) were used to develop a CNN model for the segmentation of 8 pelvic bony structures (lumbar vertebra, sacrococcyx, ilium, acetabulum, femoral head, femoral neck, ischium, and pubis). The proposed CNN was used for the automated segmentation of these pelvic bony structures from a subset of 405 patients who did not receive treatment (S2) and 74 patients who received treatment [radiotherapy (S3) or endocrine therapy (S4)]. The 95% confidence interval (CI) was used to establish reference ranges for the ADC values from the normal pelvic bony structures of S1 and S2. Results: 0.05), and no significant differences were found among the S2, S3, and S4 data sets. The correlation analysis revealed that the b value and field strength were significantly correlated with ADC values (all P0.05). The ADC reference ranges (95% CI) were as follows: lumbar vertebra, 1.11 (0.90–1.54); sacrococcyx, 0.82 (0.61–1.15); ilium, 0.57 (0.45–0.62); acetabulum, 0.59 (0.40–0.69); femoral head, 0.46 (0.25–0.58); femoral neck, 0.43 (0.25–0.48); ischium, 0.45 (0.26–0.55); and pubis, 0.57 (0.45–0.65). Conclusions: This study preliminarily established reference ranges for the ADC values of normal pelvic bony structures. The image acquisition parameters had an influence on the ADC values.

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