- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07528937
Application of 3D Reconstruction for Preoperative Strategy of Locally Advanced Colon Cancer
Randomized Multicenter Study Protocol: Application of 3D Reconstruction for Preoperative Strategy of Locally Advanced Colon Cancer
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Sebastian Jeri-McFarlane, MD, PhD
- Phone Number: +34871205000
- Email: sebastian.jeri@ssib.es
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients of both sexes, aged ≥18 years.
- Adenocarcinoma of the right, left, sigmoid and recto-sigmoid junction that have cT3 or cT4a/b according to the eighth TNM edition of the American Joint Committee on Cancer (AJCC). Pre-treatment diagnosis by imaging (CT) test.
- Lymph node extension: cN0, the presence of cN1/2 according to AJCC TNM 8th edition is allowed as long as they can be resected. Pretreatment diagnosis by imaging (CT) test.
- Patients who access and sign informed consent for the surgical intervention.
Exclusion Criteria:
- Suspected carcinomatosis on preoperative CT or intraoperative finding
- Suspected distant metastasis on preoperative CT or intraoperative finding
- Patients with tumors with infiltration considered to be unresectable (pre-surgical or intraoperatively), since the anatomical-pathological analysis will not be available.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: 3D Reconstruction Group (Group B)
Group of patients in which 3D reconstruction is going to be done before surgery
|
3D mathematical reconstruction from the extension CT, which is performed on all patients with colon neoplasms, to assess the location of the primary colon tumor and possible infiltration of neighboring/retroperitoneal structures.
Other Names:
|
|
No Intervention: No 3D reconstruction group (Group A)
Group of patients in which 3D reconstruction is not going to be performed before surgery
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
R0 resection rate
Time Frame: 8 weeks
|
Proportion of patients achieving R0 resection (defined as microscopically margin-negative resection) following surgical planning with three-dimensional image post-processing reconstruction (3D-IPR) in patients with threatened surgical margins (TSM) in locally advanced colon cancer (LACC)
|
8 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Rate of minimally invasive surgical approach
Time Frame: Within 8 Weeks
|
Proportion of patients undergoing a minimally invasive surgical approach (laparoscopic or robotic) following preoperative planning with three-dimensional image post-processing reconstruction (3D-IPR) in patients with locally advanced colon cancer (LACC).
|
Within 8 Weeks
|
|
Conversion to open surgery
Time Frame: 8 Weeks
|
Proportion of patients requiring conversion from minimally invasive to open surgery during procedures planned with three-dimensional image post-processing reconstruction (3D-IPR) in patients with locally advanced colon cancer (LACC).
|
8 Weeks
|
|
Diagnostic accuracy of 3D-IPR for detection of adjacent organ infiltration (sensitivity and specificity)
Time Frame: Within 8 Weeks
|
Sensitivity and specificity of three-dimensional image post-processing reconstruction (3D-IPR) compared with conventional CT radiological reports for the detection of adjacent organ infiltration in patients with locally advanced colon cancer (LACC), using intraoperative findings and/or histopathological assessment as the reference standard.
|
Within 8 Weeks
|
|
Overall survival (OS)
Time Frame: Up to 5 years
|
Overall survival, defined as the time from surgery to death from any cause, in patients with locally advanced colon cancer (LACC) undergoing surgical planning with three-dimensional image post-processing reconstruction (3D-IPR).
|
Up to 5 years
|
|
Rate of locoregional and distant recurrence
Time Frame: Up to 5 years
|
Proportion of patients experiencing locoregional or distant recurrence within 5 years after surgery, confirmed by imaging studies (CT, MRI, or PET-CT) or histopathology, in patients with locally advanced colon cancer (LACC) undergoing surgical planning with three-dimensional image post-processing reconstruction (3D-IPR).
|
Up to 5 years
|
|
Rate of perioperative complications (Clavien-Dindo classification)
Time Frame: Within 30 days after surgery
|
Proportion of patients experiencing perioperative complications within 30 days after surgery, classified according to the Clavien-Dindo grading system, following surgical planning with three-dimensional image post-processing reconstruction in patients with locally advanced colon cancer.
|
Within 30 days after surgery
|
Collaborators and Investigators
Collaborators
Publications and helpful links
General Publications
- Garcia-Granero A, Jeri Mc-Farlane S, Gamundi Cuesta M, Gonzalez-Argente FX. Application of 3D-reconstruction and artificial intelligence for complete mesocolic excision and D3 lymphadenectomy in colon cancer. Cir Esp (Engl Ed). 2023 May;101(5):359-368. doi: 10.1016/j.cireng.2023.01.006. Epub 2023 Jan 26.
- Jeri-McFarlane S, Garcia-Granero A, Ochogavia-Segui A, Pellino G, Oseira-Reigosa A, Gil-Catalan A, Brogi L, Ginard-Vicens D, Gamundi-Cuesta M, Gonzalez-Argente FX. Three-dimensional modelling as a novel interactive tool for preoperative planning for complex perianal fistulas in Crohn's disease. Colorectal Dis. 2023 Jun;25(6):1279-1284. doi: 10.1111/codi.16539. Epub 2023 Mar 27.
- Garcia-Granero A, Jeri-McFarlane S, Torres-Mari N, Brogi L, Ferra-Canet M, Navarro Zoroa MA, Gamundi-Cuesta M, Gonzalez-Argente FX. 3D-reconstruction printed models and virtual reality improve teaching in oncological colorectal surgery. Tech Coloproctol. 2024 Dec 19;29(1):24. doi: 10.1007/s10151-024-03074-3.
- Garcia-Granero A, Jeri-McFarlane S, Ochogavia A, Gamundi-Cuesta M, Garcia-Granero E, Gonzalez-Argente FX. 3D reconstructions in rectal cancer. New tools for better diagnosis and surgical planning. Cir Esp (Engl Ed). 2025 Sep;103(9):800198. doi: 10.1016/j.cireng.2025.800198. Epub 2025 Aug 7.
- Jeri-McFarlane S, Garcia-Granero A, Ochogavia-Segui A, Ginard-Vicens D, Brogi L, Ferra-Canet M, Gamundi-Cuesta M, Gonzalez-Argente FX. 3D-reconstruction printed models could enhance understanding of Crohn's disease complex perianal fistulas? ANZ J Surg. 2025 Nov;95(11):2359-2366. doi: 10.1111/ans.70140. Epub 2025 May 14.
- Jeri-McFarlane S, Garcia-Granero A, Martinez-Ortega MA, Amengual-Antich I, Robayo AR, Gamundi-Cuesta M, Gonzalez-Argente FX. Tailored-surgery for locally advanced colon cancer based on 3D mathematical reconstruction surgical planner: Observational comparative non-randomized study. Eur J Surg Oncol. 2025 Feb;51(2):109584. doi: 10.1016/j.ejso.2025.109584. Epub 2025 Jan 6.
- Torres-Mari N, Garcia-Fuster AG, Jeri-McFarlane S, Ochogavia-Segui A, Diaz-Ferrando J, Gomez-Gomes G, Gamundi-Cuesta M, Gonzalez-Argente FX. Anatomy-guided computational framework for classifying vascular ligation and lymphadenectomy in oncologic sigmoidectomy: toward AI-supported surgical auditing. Int J Colorectal Dis. 2026 Jan 3;41(1):12. doi: 10.1007/s00384-025-05046-x.
- Jeri-McFarlane S, Garcia-Granero A, Pellino G, Torres-Mari N, Ochogavia-Segui A, Rodriguez-Velazquez M, Gamundi-Cuesta M, Gonzalez-Argente FX. Prospective observational non-randomized trial protocol for surgical planner 3D image processing & reconstruction for locally advanced colon cancer. BMC Surg. 2024 Oct 7;24(1):292. doi: 10.1186/s12893-024-02558-1.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IB 5113/23 PI
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
De-identified individual participant data (IPD) from this study, including clinical variables and imaging-derived measurements, will be made available to qualified researchers. IPD will not be directly posted on ClinicalTrials.gov, but may be requested from the corresponding author. A methodologically sound research proposal must be submitted and approved by the study steering committee. Data sharing will comply with all applicable data protection regulations. Once data are available, a link to the repository will be provided in the Available IPD/Information field of the record.
Researchers with a methodologically sound proposal can request access by contacting the corresponding author. Requests will be reviewed and approved by the study steering committee. Access will be granted after agreement to terms regarding confidentiality, ethical use, and compliance with data protection regulations.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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