Interobserver delineation variability of computed tomography-based radiomic features of the parotid gland

• 영문명: Interobserver delineation variability of computed tomography-based radiomic features of the parotid gland
• 발행기관: 대한방사선종양학회
• 저자명: Kanyapat Buasawat Sasikarn Chamchod Todsaporn Fuangrod Sawanee Suntiwong Thiansin Liamsuwan
• 간행물 정보: 『대한방사선종양학회지』제42권 제1호, 63~73쪽, 전체 11쪽
• 주제분류: 의약학 > 종양학
• 파일형태: PDF
• 발행일자: 2024.03.30

영문 초록

Purpose: To assess the interobserver delineation variability of radiomic features of the parotid gland from computed tomography (CT) images and evaluate the correlation of these features for head and neck cancer (HNC) radiotherapy patients. Materials and Methods: Contrast-enhanced CT images of 20 HNC patients were utilized. The parotid glands were delineated by treating radiation oncologists (ROs), a selected RO and AccuContour auto-segmentation software. Dice similarity coefficients (DSCs) between each pair of observers were calculated. A total of 107 radiomic features were extracted, whose robustness to interobserver delineation was assessed using the intraclass correlation coefficient (ICC). Pearson correlation coefficients (r) were calculated to determine the relationship between the features. The influence of excluding unrobust features from normal tissue complication probability (NTCP) modeling was investigated for severe oral mucositis (grade ≥3). Results: The average DSC was 0.84 (95% confidence interval, 0.83–0.86). Most of the shape features demonstrated robustness (ICC ≥0.75), while the first-order and texture features were influenced by delineation variability. Among the three observers investigated, 42 features were sufficiently robust, out of which 36 features exhibited weak correlation (|r|<0.8). No significant difference in the robustness level was found when comparing manual segmentation by a single RO or automated segmentation with the actual clinical contour data made by treating ROs. Excluding unrobust features from the NTCP model for severe oral mucositis did not deteriorate the model performance. Conclusion: Interobserver delineation variability had substantial impact on radiomic features of the parotid gland. Both manual and automated segmentation methods contributed similarly to this variation.

목차

Introduction

Materials and Methods

Results

Discussion and Conclusion

Statement of Ethics

Conflict of Interest

Funding

Author Contributions

Data Availability Statement

References

키워드

Radiomics Parotid gland Interobserver variability Autosegmentation Head and neck cancer