Clinical trial · Observational
Predictive Effect of Abdominal Fat and Muscle Area Calculated Based on Abdominal CT on Colorectal Cancer Patients
Predictive Effect of Abdominal Fat and Muscle Area Calculated Based on Abdominal CT on Short- and Long-term Outcomes in Patients with Colorectal Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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 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
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colorectal Cancer | Malignant Colorectal Neoplasm | CURATED_BROADER | 0.80 |
| Obesity and Overweight | — | UNRESOLVED | — |
| Sarcopenia | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| abdominal fat and muscle area | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- the colorectal cancer group
- description
- Abdominal fat and muscle area were calculated based on abdominal CT of colorectal cancer patients.
- interventionNames
- Other: abdominal fat and muscle area
Primary outcomes (1)
- measure
- Overall survival
- timeFrame
- 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.
- description
- Overall survival was defined as time from date of diagnosis until the date of death from any cause or or loss to follow-up.
Secondary outcomes (1)
- measure
- Rate of postoperative complications
- timeFrame
- From date of surgery until the date of first documented postoperative complication, assessed up to 2 months after surgery.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * 1, Diagnosis of colorectal cancer confirmed by pathology or cytology; * 2, aged \>18 years; * 3, not received chemotherapy, radiotherapy, targeted therapy or immunotherapy; * 4, post-operative pathological stages other than stage IV, or no liver, lung or other organs as confirmed by CT, MRI, B-ultrasound imaging. * 5, patients who have pre-operative CT examination data kept in our hospital. Exclusion Criteria: * 1, Poor quality of preoperative CT images; * 2, refusal to participate in this study.
References
Publications (3)
- BACKGROUNDSahin MEH, Akbas F, Yardimci AH, Sahin E. The effect of sarcopenia and sarcopenic obesity on survival in gastric cancer. BMC Cancer. 2023 Sep 28;23(1):911. doi: 10.1186/s12885-023-11423-y. PMID 37770828
- BACKGROUNDArulananda S, Segelov E. Sarcopenia and cancer-related inflammation measurements in advanced gastric and junctional cancers-ready for prime time? Ann Oncol. 2022 Jul;33(7):669-671. doi: 10.1016/j.annonc.2022.04.008. Epub 2022 Apr 14. No abstract available. PMID 35430371
- BACKGROUNDXia L, Zhao R, Wan Q, Wu Y, Zhou Y, Wang Y, Cui Y, Shen X, Wu X. Sarcopenia and adverse health-related outcomes: An umbrella review of meta-analyses of observational studies. Cancer Med. 2020 Nov;9(21):7964-7978. doi: 10.1002/cam4.3428. Epub 2020 Sep 13. PMID 32924316