Related Experiment Video
Updated: May 23, 2025
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
Published on: March 21, 2021
Computed tomography-based body composition and systemic inflammation for outcome prediction in patients with
Rong Wang1, Liyang Zhu2, Jiqing Hao1
1Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background:
Computed tomography (CT) can assess a patient's body composition, thereby reflecting an individual's health status. Currently, there is a scarcity of research on the relationship between body composition and prognosis in patients with esophageal squamous cell carcinoma (ESCC) after esophagectomy. We assessed the independent and combined prognostic value of CT-derived body composition parameters, clinical history, pathologic findings, and inflammatory factors in patients with resected ESCC and established a predictive model.
Methods:
This retrospective analysis included 142 patients with postoperative ESCC. Sarcopenia was diagnosed by assessing the skeletal muscle index at the third lumbar level of CT components. Survival analysis included the Kaplan-Meier method, and the Cox proportional hazards method was employed for multifactor analysis. The consistency index and calibration curve were used to determine the predictive accuracy and discrimination ability of the nomogram.
Results:
Sarcopenia prevalence among the 142 patients was 62.0% (88/142). The median overall survival (OS) and the 1-, 3-, and 5-year survival rates of patients with sarcopenia were 54.0 months (95% confidence interval: 37.8-70.2), 79.5%, 59.1%, and 44.5%, respectively. Patients without sarcopenia had a median OS of 93.0 months (95% confidence interval: 70.0-116.0), with 1-, 3-, and 5-year survival rates 90.0%, 73.9%, and 65.1%, respectively (P=0.04 for the comparison of OS between the sarcopenia group and the non-sarcopenia group). In the Cox multivariate model, sarcopenia, smoking, lymphocyte albumin score, and tumor-node-metastasis (TNM) stage significantly correlated with postoperative survival in ESCC. The concordance index of the nomogram and calibration curve indicated good agreement between predicted and observed results.
Conclusions:
Sarcopenia in ESCC was negatively associated with OS. The combination of sarcopenia, pathological parameters, and inflammatory factors could independently predict the survival of patients undergoing ESCC surgery, demonstrating good prognostic value.
