Nomogram of Combining CT-Based Body Composition Analyses and Prognostic Inflammation Score: Prediction of Survival in Advanced Epithelial Ovarian Cancer Patients

• Published in: Academic radiology
• Main Authors: Wang, Xin, Zhang, Chao, Cao, Feng, Wang, Chuan-Bin, Dong, Jiang-Ning, Wang, Zhen-Huan
• Format: Journal Article
• Language: English
• Published: United States 01.09.2022
• Subjects: BMD bone mineral density; CT computer tomography; HE4 human epididymis protein 4; CI confidence intervals; Body composition; PMA area of paraspinal muscle; FIGO federation of gynecology and obstetrics; Ovarian cancer; PDS primary debulking surgery; Sarcopenia; PIS prognosis inflammation score; Computed tomography; Prognostic nomogram; Abbreviations: AEOC advanced epithelial ovarian cancer; AUC area under the curve; ROC receiver operating characteristic; CA 125 carbohydrate antigen 125; DFS disease free survival; BCC body composition changes; VFA visceral fat area; SFA subcutaneous fat area; C-index concordance index; HR hazard ratio; SMD skeletal muscle density; DCA decision curve analysis; QCT quantitative computed tomography; Systemic inflammation

To investigate the value of body composition changes measured by quantitative computer tomography (QCT) in evaluating the prognosis of advanced epithelial ovarian cancer (AEOC) patients who underwent primary debulking surgery (PDS) and adjuvant platinum-based chemotherapy, and constructed a nomogram...