Neuroendocrine Tumors
Conditions
Brief summary
The goal of this observational study is to learn about the value of body composition as predictors of pathological grading and prognosis in patients with gastroenteropancreatic neuroendocrine neoplasms. The main question it aims to answer is: Does body composition affect the pathological grading and prognosis of patients with gastroenteropancreatic neuroendocrine tumors? Participants with gastroenteropancreatic neuroendocrine neoplasms will answer questions about their physical condition during follow-up visits.
Detailed description
Objectives To explore the value of body composition parameters (BCPs) as predictors of pathological grading, prognosis in patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). Methods This retrospective multicenter analysis enrolled GEP-NENs patients pathologically confirmed from three institutions between 2015 and 2024. The volume of skeletal muscle and abdominal fat tissue was calculated based on CT scans at diagnosis. Univariate and multivariate logistic regression analyses were used to identify the relationships between BCPs and the pathological grade. The Kaplan-Meier method, along with the log-rank test, was employed for survival analysis. Independent prognostic factors were identified through uni- and multivariable Cox regression analyses.
Interventions
OTHERbody composition calculate
The goal of this observational study is to learn about the value of body composition as predictors of pathological grading and prognosis in patients with gastroenteropancreatic neuroendocrine neoplasms. The volume of abdominal skeletal muscle and fat tissue is calculated based on CT scans at diagnosis.
Sponsors
Tongji Hospital
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* A confirmed diagnosis of GEP-NENs via histopathology with a WHO grading * Available enhanced CT scans that included full abdominal imaging before surgery or biopsy
Exclusion criteria
* Therapeutic interventions before surgery or biopsy * Poor image quality or incomplete CT images of the whole abdomen
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between CT-measured abdominal fat index(cm3/m3) and pathological grade (WHO classification) in GEP-NENs | Preoperative contrast-enhanced CT performed within one month before surgery | Quantify abdominal visceral fat index(cm3/m3) ,subcutaneous fat index(cm3/m3) and intermuscular fat index(cm3/m3) using preoperative contrast-enhanced CT, and analyze their Pearson correlation coefficient with pathological grade (WHO classification: G1, G2, G3). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between CT-measured abdominal fat index(cm3/m3) and 10-year overall survival (days) in GEP-NENs | From baseline CT to 10-year follow-up or death | Quantify abdominal visceral fat index(cm3/m3) ,subcutaneous fat index(cm3/m3) and intermuscular fat index(cm3/m3) via preoperative CT, and analyze its Spearman correlation with overall survival (days from diagnosis to death) and progression-free survival (days from diagnosis to progression) using adjusted Cox proportional hazards models. |
Countries
China
Outcome results
None listed