Status:

UNKNOWN

Radiomics-based Artificial Intelligence System to Predict Neoadjuvant Treatment Response in Rectal Cancer

Lead Sponsor:

Sixth Affiliated Hospital, Sun Yat-sen University

Collaborating Sponsors:

The Third Affiliated Hospital of Kunming Medical College.

Sir Run Run Shaw Hospital

Conditions:

Rectal Cancer

Eligibility:

All Genders

18-75 years

Brief Summary

In this study, investigators utilize a radiomics prediction model to predict the tumor response to neoadjuvant chemoradiotherapy (nCRT) before the nCRT is administered for patients with locally advanc...

Detailed Description

This is a multicenter, prospective, observational clinical study for validation of a radiomics-based artificial intelligence (AI) prediction model. Patients who have been pathologically diagnosed as r...

Eligibility Criteria

Inclusion

  • pathologically diagnosed as rectal adenocarcinoma
  • defined as clinical II-III staging (≥T3, and/or positive nodal status) without distant metastasis by enhanced Magnetic Resonance Imaging (MRI)
  • intending to receive or undergoing neoadjuvant concurrent chemoradiotherapy (5-fluorouracil based chemotherapy, given orally or intravenously; Intensity-Modulated Radiotherapy or Volume-Modulated Radiotherapy delivered at 50 gray (Gy) in gross tumor volume (GTV) and 45 Gy in clinical target volume (CTV) by 25 fractions)
  • intending to receive total mesorectum excision (TME) surgery after neoadjuvant therapy (not completed at the enrollment), and adjuvant chemotherapy
  • MRI (high-solution T2-weighted imaging, contrast-enhanced T1-weighted imaging, and diffusion-weighted imaging are required) examination is completed before the neoadjuvant chemoradiotherapy

Exclusion

  • with history of other cancer
  • insufficient imaging quality of MRI to delineate tumor volume or obtain measurements (e.g., lack of sequence, motion artifacts)
  • incomplete neoadjuvant chemoradiotherapy
  • no surgery after neoadjuvant chemoradiotherapy resulting in lack of pathologic assessment of tumor response
  • tumor recurrence or distant metastasis during neoadjuvant chemoradiotherapy

Key Trial Info

Start Date :

January 10 2020

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

December 1 2020

Estimated Enrollment :

100 Patients enrolled

Trial Details

Trial ID

NCT04273477

Start Date

January 10 2020

End Date

December 1 2020

Last Update

February 18 2020

Active Locations (3)

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Page 1 of 1 (3 locations)

1

the Sixth Affiliated Hospital of Sun Yat-sen University

Guangzhou, Guangdong, China, 510655

2

The Third Affiliated Hospital of Kunming Medical College

Kunming, Yunnan, China, 650000

3

Sir Run Run Shaw Hospital

Hangzhou, Zhejiang, China, 310000

Radiomics-based Artificial Intelligence System to Predict Neoadjuvant Treatment Response in Rectal Cancer | DecenTrialz