Ignite Creation Date:
2025-12-24 @ 4:55 PM
Ignite Modification Date:
2025-12-29 @ 8:06 AM
Study NCT ID:
NCT06314750
Status:
COMPLETED
Last Update Posted:
2025-08-14
First Post:
2024-03-09
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Deep Learning Based MRI Radiomics in Predicting the Clinical Risk of Locally Advanced Rectal Cancer
Sponsor:
Sixth Affiliated Hospital, Sun Yat-sen University
Organization:
Study Overview
Official Title:
Deep Learning Based MRI Radiomics in Predicting the Clinical Risk of Locally Advanced Rectal Cancer
Status:
COMPLETED
Status Verified Date:
2024-03
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:
None
Brief Summary:
Neoadjuvant therapy is the standard diagnosis and treatment strategy for locally advanced rectal cancer defined by MRI in order to achieve tumor regression, thus affecting the selection of surgical strategy and circumferential margin, improving the safety of operation and the prognosis of patients. This study focused on the related clinical factors such as tumor regression before and after neoadjuvant therapy, combined with preoperative high-dimensional features such as radiomics, to predict the related factors of tumor regression of locally advanced rectal cancer, and validate it with multicenter. In order to develop an accurate model that can be applied to the real world and stratify the risk of locally advanced rectal cancer patients before treatment.
Detailed Description:
The patients with locally advanced rectal cancer were collected retrospectively, and the relevant information such as clinical baseline characteristics, imaging data and preoperative/postoperative pathological data were collected and integrated, applying the method of deep learning to construct the model, in order to predict and evaluate the risk factors (invasion of mesorectal fascia, status of cancer nodule, long-term prognosis, tumor recurrence, etc.) which are important in clinical diagnosis and treatment. After the model was established, prospective studies were carried out to validate the model, continue training and enrich the effectiveness of the model.
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?:
False
Is an FDA AA801 Violation?: