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The Prediction Model of NAC Response for Breast Cancer Based on The Parametric Dynamics Features.

NCT06370234 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2024-04-17

No results posted yet for this study

Summary

The main purpose of this study is to develop a computer-aided prediction model for NAC treatment response. Based on the heterogeneity of internal parametric tumor composition commonly observed, this study will utilize the histologic characteristics and treatment response to investigate the image features as input data for predicting treatment response using Deep Learning technology. Using this technique, preoperative treatment evaluation may be facilitated by tumor heterogeneity analysis from developed dynamic radiomics, and the possibility of personal medicine can be realized not far ahead. In the first two years of this study using images from DCE-MRI, PET/CT and QDS-IR, we plan to develop the image processing algorithms, including segmenting breast and tumor region, extracting image feature which reflects angiogenic properties and permeability of tumor, which are highly correlated with NAC treatment response. During the third year of the project, the morphology and texture features from first two years can be combined for PET/MRI and prediction model can be achieved in accordance with the features extracted from dynamic features extraction using longitudinal images of PET/MRI.

Conditions

  • Breast Cancer
  • Chemotherapy Effect
  • Diffusion Weighted MRI
  • PET Imaging
  • Multiparametric Magnetic Resonance Imaging

Interventions

RADIATION

Whole body 18F-FDG Positron Emission Tomography

The subjects enrolling and participating this study will have done PET/MR during pre-operation chemotherapy. But, in normal procedure, they will not have done.

Sponsors & Collaborators

  • Ministry of Science and Technology, Taiwan

    collaborator OTHER_GOV

  • National Taiwan University Hospital

    lead OTHER

Principal Investigators

  • Yeun-Chung Chang, M.D., PhD. · National Taiwan University Hospital

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
20 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-04-21
Primary Completion
2019-06-30
Completion
2020-03-03

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06370234 on ClinicalTrials.gov