A clinical study using AI based imaging analysis technology to continuously monitor sarcopenia and clinical prognosis in patients with esophageal cancer.
Abstract
e16020 Background: In recent years, impact of sarcopenia on the prognosis of esophageal cancer has drawn attention to the esophageal cancer patients. This article aims to combine AI imaging analysis technology to study the incidence of sarcopenia in multimodal treatment of esophageal cancer and evaluate its impact on the long-term prognosis of esophageal cancer patients. Methods: 109 patients were included in the study. Skeletal muscle index (SMI) of patients were determined before treatment, at 3 months, 6 months, and 1 year of treatment (including surgery, chemotherapy, PD-1, etc.). The computed tomography (CT) scan at L3 defines sarcopenia as male SMI < 40.8 cm2/m2 and female SMI < 34.9 cm2/m2. All patients were followed up for 18 months, with clinical death as the endpoint of observation. Results: The 18-months mortality rate of patients with sarcopenia (71.4%) is higher than that of patients without sarcopenia; Among patients without sarcopenia, those with reduced skeletal muscle area had a higher 18-months mortality rate (58.8%) than those with increased skeletal muscle area (40.9%). P < 0.05. Conclusions: Patients with reduced skeletal muscle area but not meeting the diagnostic criteria for sarcopenia may have poor long-term prognosis and require further attention. Comparison of differences in 18-months mortality rate among patients with sarcopenia. Comparison of differences in 18-months mortality rate among patients with sarcopenia 18 months c 2 P death survival sarcopenia NO 19(48.7%) 20(51.3%) 5.561 0.018 YES 50(71.4%) 20(28.6%) Comparison of 18-months mortality differences between patients with sarcopenia or reduced skeletal muscle area 18 months death survival A 50(71.4%)a 20(28.6%)a 6.886 0.032 B 9(40.9%)b 13(59.1%)b C 10(58.8%)ab 7(41.2%)ab annotation:A:sarcopenia;B:Undiagnosed sarcopenia with increased skeletal muscle area;C:Undiagnosed sarcopenia but with reduced skeletal muscle area.Cells containing different lowercase letters represent comparisons between items with P<0.05 Demographic and clinical characteristics of the study population Variables Sarcopenia Non-Sarcopenia t/f P Male,N(%) 68(97.14%) 38(97.44%) 0.008 0.928 Age(years) 60.83 ± 9.21 59.64 ± 6.31 5.573 0.475 Weight(Kg) 63.41± 9.93 70.68± 9.42 0.436 <0.001 height(meter) 1.71(1.67,1.75) 1.70(1.65,1.75) -1.089 0.276 BMI(kg/m 2 ) 21.55(20.06,23.62) 24.57(23.62,25.95) -5.076 <0.001 smoking,N(%) 37(52.86%) 27(69.23%) 2.77 0.096 drinking,N(%) 40(57.14%) 30(76.92%) 4.265 0.039 PS score 0.508 0.476 0,N(%) 9(12.86%) 6(15.38%) 1,N(%) 59(84.28%) 33(84.62%) 2,N(%) 2(2.86%) 0(0%) Tumor stage 3.593 0.39 ,N(%) 1(1.43%) 3(7.69%) ,N(%) 14(20.00%) 5(12.82%) ,N(%) 35(50.00%) 18(46.16%) ,N(%) 20(28.57%) 13(33.33%)
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (4)
Guoxing Zhang
Qingdao Perovskite Photovoltaic and Application Engineering Research Center, Institute of Carbon Neutrality, College of Chemical and Biological Engineering Shandong University of Science and Technology Qingdao P. R. China
Chunyi Jia
Jilin Cancer Hospital, Changchun, China
Xueying Zhang
Department of Medicinal Chemistry
Haifeng Liu