S-Space College of Medicine/School of Medicine (의과대학/대학원) Dept. of Clinical Medical Sciences (임상의과학과) Theses (Master's Degree_임상의과학과)
CT Texture Analysis in Patients with Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy
국소진행성 직장암의 컴퓨터 단층 촬영 질감 특징 분석과 수술 전 화학 방사선 치료의 반응 평가 및 무질병 생존률과의 연관관계
- 의과대학 임상의과학과
- Issue Date
- 서울대학교 대학원
- texture analysis; locally advanced rectal cancer; neoadjuvant chemoradiotherapy; treatment response; disease free survival
- 학위논문 (석사)-- 서울대학교 대학원 : 임상의과학과, 2017. 2. 김영훈.
- CT Texture Analysis in Patients with Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy
- A Potential Imaging Biomarker for Treatment Response and Prognosis -
Choong Guen Chee
Department of Clinical Medical Sciences
The Graduate School
Seoul National University
PURPOSE: To evaluate the association of computed tomography (CT) texture features of locally advanced rectal cancer with neoadjuvant chemoradiotherapy (CRT) response and disease-free survival (DFS).
MATERIALS AND METHODS: The institutional review board approved this retrospective study. 95 patients who received neoadjuvant CRT, followed by surgery, for locally advanced rectal cancer were included. Texture features (entropy, uniformity, kurtosis, skewness, and standard deviation) were assessed in pretreatment CT images and obtained without filtration and with Laplacian of Gaussian spatial filter of various filter values (1.0, 1.5, 2.0, and 2.5). Dworak pathologic grading was used for treatment response assessment. Independent t-test was used to compare each texture feature between the treatment responder and non-responder groups. DFS was assessed with Kaplan-Meier method, and differences were compared with log-rank test. Cox proportional hazards models were constructed to predict prognosis based on stage, age, and each texture feature.
RESULTS: Treatment responders (n = 32) showed significantly lower entropy, higher uniformity, and lower standard deviation in no filtration, fine (1.0), and medium (1.5) filter values. Entropy, uniformity, and standard deviation without filtration showed significant difference in DFS in Kaplan-Meier analysis (P = 0.015, 0.025, and 0.038). Homogeneous texture features (≤ 6.7 for entropy, > 0.0118 for uniformity, and ≤ 28.06 for standard deviation) were associated with higher DFS. Entropy, uniformity, and standard deviation were independent texture features in predicting DFS (P = 0.017, 0.03, and 0.036)
CONCLUSION: Homogeneous texture features are associated with better neoadjuvant CRT response and higher DFS in patients with locally advanced rectal cancer.
keywords : texture analysis, locally advanced rectal cancer, neoadjuvant chemoradiotherapy, treatment response, disease free survival
Student Number : 2015-22262