Predictive Effect of Abdominal Fat and Muscle Area Calculated Based on Abdominal CT on Gastric Cancer Patients
NCT06606912 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 4000
Last updated 2024-09-23
Summary
This study aims to create a clinical prediction model. Abdominal fat and muscle area also play an important role in the prediction of surgical outcomes in colorectal cancer. Studies have shown that excess visceral fat and low skeletal muscle mass (sarcopenia) are associated with poorer postoperative outcomes, including a higher risk of postoperative complications and lower survival. Preoperative imaging techniques such as CT, MRI and ultrasound that provide accurate measurements to assess abdominal fat and muscle area can help surgeons develop individualized surgical and rehabilitation plans, improve surgical success, reduce complications and improve long-term patient prognosis. In this study, the investigators expected to construct a prediction model of abdominal fat and muscle area on the short- and long-term outcomes of gastric and colorectal cancer patients by calculating the abdominal fat and muscle area in different levels of abdominal CT images, in order to further adjust and guide the treatment plan.
Conditions
- Gastric Cancers
- Colorectal Cancer
- Sarcopenia
- Obesity and Overweight
Interventions
- OTHER
-
Skeletal muscle, subcutaneous fat and visceral fat area
CT-based measurement of skeletal muscle, subcutaneous fat and visceral fat areas at L1, L2, L3, L4 and L5 levels.
Sponsors & Collaborators
-
The Second Affiliated Hospital of Chongqing Medical University
collaborator OTHER -
Chongqing Medical University
collaborator OTHER -
First Affiliated Hospital of Chongqing Medical University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2012-01-01
- Primary Completion
- 2024-01-01
- Completion
- 2024-12-31
Countries
- China
Study Locations
More Related Trials
-
ctDNA for Prediction of Relapse in Gastric Cancer
NCT02887612 ·Status: UNKNOWN
-
Impact of Environmental Factors and Metabolomics on Colorectal Cancer.
NCT06643429 ·Status: ACTIVE_NOT_RECRUITING
-
Study of Biomarkers in Tissue Samples From Patients With Metastatic Colon Cancer
NCT01012804 ·Status: WITHDRAWN
-
Effect Study of Clinical Outcomes of Traditional Chinese Medicine to Advanced Gastric Cancer by Propensity Score
NCT02781285 ·Status: UNKNOWN
-
Relationship Between Perioperative Treatment Efficacy and The Tumor Microenvironment for Locally Advanced Resectable Gastric Cancer.
NCT04850729 ·Status: RECRUITING
-
Sarcopenia and Multimodal Rehabilitation on the Prognosis of Rectal Cancer Patients Receiving CCRT
NCT05664607 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Procalcitonin to Predict Infection After Gastrectomy for Gastric Cancer
NCT03780439 ·Status: COMPLETED
-
A Multicenter, RCT Study of the Clinical Efficacy of Robotic and Laparoscopic Gastrectomy in Neoadjuvant Gastric Cancer
NCT06042998 ·Status: RECRUITING ·Phase: NA
-
Multi-center and Multi-modal Deep Learning Study of Gastric Cancer
NCT05001321 ·Status: UNKNOWN
-
A Real-world Research on the Prevention and Treatment of Peritoneal Metastasis and Malignant Ascites by Intraperitoneal Infusion of rmhTNF in Gastric and Colorectal Malignant Tumors
NCT06496919 ·Status: NOT_YET_RECRUITING
-
In-hospital Outcomes of Older Patients With Gastric Cancer and Their Risk Factors
NCT06185907 ·Status: COMPLETED
-
The Function of PA, RBP and TRSF in Malnutrition Detecting and Nutritional Status Monitoring for NPC Patients
NCT03240835 ·Status: COMPLETED
-
Using Radiomics to Predict Neoadjuvant Chemotherapy Efficacy
NCT05465512 ·Status: COMPLETED
-
Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients
NCT06548464 ·Status: COMPLETED
-
Predicting Gastric Cancer Response to Chemo With Multimodal AI Model
NCT06451393 ·Status: RECRUITING
-
the Clinical Efficacy of Robotic and Laparoscopic Radical Total Gastrectomy in Locally Advanced Middle and Upper Gastric Cancer
NCT05235932 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Peritoneal Lavage for Early Detecting Gene Mutation of Peritoneal Metastasis of Gastric Cancer
NCT03314649 ·Status: COMPLETED
-
Prospective Observational Cohort Study
NCT06493448 ·Status: NOT_YET_RECRUITING
-
Detection of Peritoneal Metastasis of Gastric Cancer by Liquid Biopsy in Peripheral Blood: A Prospective Study
NCT05347524 ·Status: RECRUITING
-
Frailty Assessment and Intervention in Elderly Patients with Gastric Cancer Receiving Gastrectomy and Adjuvant Chemotherapy
NCT06055387 ·Status: RECRUITING ·Phase: NA
-
Myopenia and Mechanisms of Chemotherapy Toxicity in Older Adults With Colorectal Cancer
NCT03998202 ·Status: RECRUITING
-
Multimodal Model Predicts Recurrence
NCT06690268 ·Status: COMPLETED
-
Nutrition and Lifestyle Study Cohort of Gastric Cancer in China
NCT02216955 ·Status: UNKNOWN
-
Predict 5-Year Survival in Elderly Gastric Cancer
NCT06208046 ·Status: COMPLETED
-
Integrating Multi-Omics Data for Enhanced Prognosis Prediction in Gastric Cancer Post-Neoadjuvant Therapy
NCT07190040 ·Status: COMPLETED