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

NCT06614699 | Active Not Recruiting DMC

• 1 other identifier: ZZ2024-158-02
• Study Type: observational
• Target: 8,000
• Locations: 1 country
• Sites: 3

Brief 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 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

Colorectal Cancer; Sarcopenia; Obesity and Overweight

Keywords

Subcutaneous Fat; Visceral fat; Colorectal cancer; Sarcopenia; Surgery

Outcome Measures

Primary Outcomes (1)

• Overall survival

  Overall survival was defined as time from date of diagnosis until the date of death from any cause or or loss to follow-up.

  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.

Secondary Outcomes (1)

• Rate of postoperative complications

  From date of surgery until the date of first documented postoperative complication, assessed up to 2 months after surgery.

Study Arms (1)

the colorectal cancer group

Abdominal fat and muscle area were calculated based on abdominal CT of colorectal cancer patients.

Other: abdominal fat and muscle area

Interventions

abdominal fat and muscle area OTHER

Abdominal fat and muscle area were calculated based on abdominal CT.

the colorectal cancer group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All adult patients diagnosed with colorectal cancer and undergoing radical surgery for colorectal cancer at the study centre.

You may qualify if:

• , Diagnosis of colorectal cancer confirmed by pathology or cytology;
• , aged \>18 years;
• , not received chemotherapy, radiotherapy, targeted therapy or immunotherapy;
• , post-operative pathological stages other than stage IV, or no liver, lung or other organs as confirmed by CT, MRI, B-ultrasound imaging.
• , patients who have pre-operative CT examination data kept in our hospital.

You may not qualify if:

• , Poor quality of preoperative CT images;
• , refusal to participate in this study.

Sponsors & Collaborators

• First Affiliated Hospital of Chongqing Medical University: lead
• The Second Affiliated Hospital of Chongqing Medical University: collaborator
• Chongqing Medical University: collaborator

Study Sites (3)

The Affiliated Yongchuan Hospital of Chongqing Medical University

Chongqing, Chongqing Municipality, 400000, China

Location

The Second Affiliated Hospital of Chongqing Medical University

Chongqing, Chongqing Municipality, 400000, China

Location

The First Affiliated Hospital of Chongqing Medical University

Chongqing, Chongqing Municipality, 400016, China

Location

Related Publications (3)

• Sahin 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 BACKGROUND

• Arulananda 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 BACKGROUND

• Xia 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 BACKGROUND

MeSH Terms

Conditions

Colorectal Neoplasms; Sarcopenia; Obesity; Overweight

Condition Hierarchy (Ancestors)

Intestinal Neoplasms; Gastrointestinal Neoplasms; Digestive System Neoplasms; Neoplasms by Site; Neoplasms; Digestive System Diseases; Gastrointestinal Diseases; Colonic Diseases; Intestinal Diseases; Rectal Diseases; Muscular Atrophy; Neuromuscular Manifestations; Neurologic Manifestations; Nervous System Diseases; Atrophy; Pathological Conditions, Anatomical; Pathological Conditions, Signs and Symptoms; Signs and Symptoms; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight

Study Officials

• Dong Peng, Ph.D.

  First Affiliated Hospital of Chongqing Medical University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Dr.

Study Record Dates

• First Submitted: September 24, 2024
• First Posted: September 26, 2024
• Study Start: January 1, 2012
• Primary Completion: January 1, 2024
• Study Completion: June 1, 2025
• Last Updated: September 27, 2024

Record last verified: 2024-09

Data Sharing

• IPD Sharing: Will not share

Locations

CN (3)