Ignite Creation Date:
2025-12-26 @ 5:22 PM
Ignite Modification Date:
2025-12-29 @ 4:47 AM
Study NCT ID:
NCT06983106
Status:
COMPLETED
Last Update Posted:
2025-05-21
First Post:
2025-04-21
Is Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Correlation Between Body Composition and Pathologic Grade/Prognosis in GEP-NENs: A Retrospective Study
Sponsor:
Tongji Hospital
Organization:
Study Overview
Official Title:
Value of Automatically Segmented Three-Dimensional(3D) Volumetric Body Composition in Predicting the Pathological Grading and Prognosis of Gastroenteropancreatic Neuroendocrine Neoplasms: A Multicenter Study
Status:
COMPLETED
Status Verified Date:
2025-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
GEP-NENs
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.
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.
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.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: