A Nomogram Combining Body Composition Analysis and Clinical Factors for
Predicting the Prognosis of Patients with Resectable Rectal Cancer
Abstract
Objective To investigate the value of quantitative computed
tomography (QCT) body composition parameters in assessing the prognosis
of patients with resectable rectal cancer (RC). Methods A total
of 94 patients with colorectal adenocarcinoma from 2016 to 2021 were
retrospectively collected. All patients underwent QCT scan before
operation. Skeletal muscle cross-sectional area, total fat area,
subcutaneous fat area and visceral fat area were measured, and skeletal
muscle index (SMI), total fat tissue index (TATI), subcutaneous fat
index (SATI) and visceral fat index (VATI) were calculated. TATI, SATI,
and VATI truncation values were obtained to predict postoperative
outcomes in RC patients, and sarcopenia (SA) was evaluated by SMI.
Results The cut off values of TATI, SATI, and VATI were 106.39
cm 2/m 2, 47.33 cm
2/m 2, and 42.61 cm
2/m 2. The overall incidence of SA
was 30.0% (28/94). Tumor N-stage, SA, and VATI were independent risk
factors for postoperative outcomes in RC patients ( P <
0.05). The AUC of the nomogram model was 0.844 (95% CI: 0.755 - 0.911).
Conclusion Tumor N-stage, SA, and VATI correlated with
prognosis in RC patients undergoing surgery. The nomogram model
established in this study has some value for evaluating the prognosis of
patients with resectable RC.