Predictive Effect of Abdominal Fat and Muscle Area Calculated Based on Abdominal CT on Gastric Cancer Patients

Condition(s) studied

Investigational drug(s) / intervention(s)

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.

Study 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.

Eligibility

Primary outcome measure(s)

• Overall survival — From date of diagnosis until the date of death from any cause or or loss to follow-up, whichever came first, assessed up to 60 months
  Overall survival was defined as time from date of diagnosis until the date of death from any cause or or loss to follow-up.

Trial sites (3)

More First Affiliated Hospital of Chongqing Medical University trials in China

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