Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients

Oncology Letters

Volumn 12, Issue 1, 2016, Pages 680-686

  Wang, Yunzhi ^a   Thai, Theresa ^b   Moore, Kathleen ^b   Ding, Kai ^b   McMeekin, Scott ^b   Liu, Hong ^a   Zheng, Bin ^a  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Bevacizumab based chemotherapy; Clinical marker of prognosis; Computer aided detection; Epithelial ovarian cancer; Multivariate statistical data analysis; Quantitative image feature analysis

Indexed keywords

BEVACIZUMAB; CARBOPLATIN; PACLITAXEL;

ADULT; ARTICLE; BODY MASS; CANCER CHEMOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; FOLLOW UP; HUMAN; INTRAABDOMINAL FAT; MAJOR CLINICAL STUDY; OBESITY; OVARY CARCINOMA; OVERALL SURVIVAL; PROGRESSION FREE SURVIVAL; RETROSPECTIVE STUDY; SUBCUTANEOUS FAT; TREATMENT OUTCOME;

EID: 84973464774     PISSN: 17921074     EISSN: 17921082     Source Type: Journal    
DOI: 10.3892/ol.2016.4648     Document Type: Article

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