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Clinical Trials/NCT05465512
NCT05465512
Completed
Not Applicable

Using Radiomics to Predict Neoadjuvant Chemotherapy Efficacy and Postoperative Adjuvant Chemotherapy Benefit in Advanced Gastric Cancer: a Two-center Study

Fujian Medical University1 site in 1 country193 target enrollmentJanuary 4, 2022
ConditionsGastric Cancer

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Gastric Cancer
Sponsor
Fujian Medical University
Enrollment
193
Locations
1
Primary Endpoint
AUC for ICSS
Status
Completed
Last Updated
3 years ago

Overview

Brief Summary

Neoadjuvant chemotherapy (NC) is an important treatment for advanced gastric cancer (AGC). However, tools that effectively predict the efficacy of NC before treatment are lacking. Computed tomography images before and after NC were used to construct a deep learning-based radiomics signature to predict the efficacy of NC, prognoses and postoperative adjuvant chemotherapy benefit.

Detailed Description

Background: Neoadjuvant chemotherapy (NC) is an important treatment for advanced gastric cancer (AGC). However, tools that effectively predict the efficacy of NC before treatment are lacking. Methods: Computed tomography images before and after NC were used to construct a deep learning-based radiomics signature to predict the efficacy of NC, prognoses and postoperative adjuvant chemotherapy benefit. Tumor regression grade (TRG) =0 or 1 was defined as a good response to neoadjuvant chemotherapy (GRNC), and TRG=2 or 3 was defined as a poor response to neoadjuvant chemotherapy (PRNC). 193 patients with AGC from January 2010 to December 2018 in two different China university hospitals were included in this study. The before neoadjuvant chemotherapy imaging scoring system (BNCISS), imaging change scoring system before and after neoadjuvant chemotherapy (ICSS), which were constructed based on computed tomography images before after treatment.

Registry
clinicaltrials.gov
Start Date
January 4, 2022
End Date
July 10, 2022
Last Updated
3 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
Fujian Medical University
Responsible Party
Principal Investigator
Principal Investigator

Chang-Ming Huang, Prof.

Principal Investigator

Fujian Medical University

Eligibility Criteria

Inclusion Criteria

  • Prospective collection and a retrospective analysis of patients seen from January 2010 to December 2018 at Fujian Medical University Union Hospital (FMUUH) and the First Hospital of Lanzhou University (FHLU) who were diagnosed with gastric adenocarcinoma and underwent radical resection

Exclusion Criteria

  • Patients with concurrent malignant disease, distant metastases, palliative resection, or gastric stump cancer were excluded.

Outcomes

Primary Outcomes

AUC for ICSS

Time Frame: 2022-01-01 to 2022-07-31

The predictive performance of imaging change scoring system before and after neoadjuvant chemotherapy (ICSS)

AUC for BNCISS

Time Frame: 2022-01-01 to 2022-07-31

The predictive performance of before neoadjuvant chemotherapy imaging scoring system (BNCISS)

Secondary Outcomes

  • overall survival(2010-01-01 to 2022-07-31)
  • disease free survival(2010-01-01 to 2022-07-31)

Study Sites (1)

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