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Clinical Trial 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.


Clinical Trial 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 Design


Related Conditions & MeSH terms


NCT number NCT06314750
Study type Observational
Source Sixth Affiliated Hospital, Sun Yat-sen University
Contact
Status Active, not recruiting
Phase
Start date January 1, 2010
Completion date September 30, 2027

See also
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