- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06582342
Is the 3D-PANC MSP Model Superior to CT for Assessing Response to Neoadjuvant Treatment in PCA Patients?
Is 3-D Imaging Technology Superior to Computed Tomography in Assessing Response to Neoadjuvant Treatment in Patients With Borderline or Locally Advanced Pancreatic Adenocarcinoma?
Study Overview
Status
Conditions
Detailed Description
Neoadjuvant chemotherapy followed by surgery represents the treatment of choice for patients with borderline and locally advanced pancreatic adenocarcinoma (PAC). Despite being the diagnostic technique of choice for PAC staging, computed tomography (CT) has a very low accuracy in detecting those patients who may benefit from surgical resection after neoadjuvant chemotherapy. Consequently, the study of computerized image processing technologies is gaining importance. However, there are no prospective validation studies of these technologies to determine their usefulness in the preoperative evaluation of PCA patients undergoing neoadjuvant therapy.
A prospective multicenter study in which all patients with borderline or locally advanced PAC undergoing neoadjuvant chemotherapy and surgical exploration with curative intent will be included for one year. Preoperative images by traditional CT and 3D-MSP technology will be evaluated, comparing the accuracy variables (sensitivity, specificity, predictive values, area under the curve, concordance index) of both techniques with the gold standard (results of surgery and histopathological analysis).
A prospective, multicenter study with control group will be performed. Since this is the evaluation of a diagnostic test, it will not be necessary to randomize the patients included, since each patient will be evaluated by means of both techniques under study, thus serving as his or her own control.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Dimitri Dorcaratto
- Phone Number: 675441388
- Email: dorcaratto.dimitri@gmail.com
Study Contact Backup
- Name: Marina Garcés
- Email: marinagarcesalbir@gmail.com
Study Locations
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Alicante, Spain
- Recruiting
- Hospital General de Alicante
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Contact:
- Celia Villodre Tudela
- Email: celivii@gmail.com
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Badajoz, Spain
- Recruiting
- Hospital Universitario de Badajoz
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Contact:
- Gerardo Blanco
- Email: gerardoblanco@unex.es
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Barcelona, Spain
- Recruiting
- Hospital Clinic De Barcelona
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Contact:
- Fabio Ausania
- Email: f.ausania@googlemail.com
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Barcelona, Spain
- Recruiting
- Hospital De Bellvitge
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Contact:
- Juli Busquets
- Email: julibusquets67@gmail.com
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Barcelona, Spain, 08003
- Recruiting
- Hospital del Mar (Barcelona)
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Contact:
- Fernando Burdío
- Email: fburdio@hotmail.com
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Barcelona, Spain
- Recruiting
- Hospital German Trias y Puyol
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Contact:
- Esteban Cugat
- Email: esteban.cugat@gmail.com
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Candelaria, Spain
- Recruiting
- Hospital Nuestra Señora de La Candelaria
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Contact:
- Betsabé Reyes Correa
- Email: reyescorreabetsabe@gmail.com
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Castelló de la Plana, Spain
- Recruiting
- Hospital General de Castellón
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Contact:
- Laura Granell
- Email: laura_9487@yahoo.es
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Murcia, Spain
- Recruiting
- Hospital Virgen de la Arrixaca
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Contact:
- Francisco Sánchez-Bueno
- Email: sbuenof@um.es
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Málaga, Spain
- Recruiting
- Hospital Virgen de la Victoria
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Contact:
- Miguel Ágel Suárez
- Email: masuarez59@gmail.com
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Málaga, Spain
- Recruiting
- Hospital Carlos Haya
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Contact:
- Julio Santoyo
- Email: jsantoyovil@gmail.com
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Palma De Mallorca, Spain
- Recruiting
- Hospital Son Espases Palma de Mallorca
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Contact:
- Rafael Morales Soriano
- Email: rafa.morales@telefonica.net
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Sevilla, Spain
- Recruiting
- Hospital Virgen Del Rocio
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Contact:
- Javier Padillo
- Email: javierpadilloruiz@gmail.com
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Tarragona, Spain
- Recruiting
- Hospital Juan XXIII Tarragona
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Contact:
- Laia Estalella Mercadé
- Email: laiaestalella2@gmail.com
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Valencia, Spain, 46010
- Recruiting
- Hospital Clinico Universitario de Valencia
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Contact:
- Marina Garcés
- Email: marinagarcesalbir@gmail.com
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Contact:
- Dimitri Dorcaratto
- Email: dorcaratto.dimitri@gmail.com
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Valencia, Spain
- Recruiting
- Hospital La Fe
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Contact:
- Cristina Ballester Ibáñez
- Email: cris7balle@yahoo.es
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Valencia, Spain
- Recruiting
- Hospital Dr Peset
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Contact:
- Manuel Bellver
- Email: bellveroliverm@gmail.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients with a diagnosis of borderline or locally advanced PAC of the head of the pancreas, as defined by the National Comprehensive Cancer Network (NCCN), who have received neoadjuvant treatment and who undergo surgical exploration with resective intent.
Exclusion Criteria:
- Patients younger than 18 years of age.
- Patients under 18 years of age.
- Disease progression during neoadjuvant treatment.
- No preoperative CT scan.
- Refusal to participate in the study.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Case-crossover group
All patients included in the study will undergo preoperative CT (conventional protocol) and 3D-MSP reconstruction.
These results will be compared with the results of the surgery and the anatomopathological study.
Each patient will be evaluated by both techniques of the study, thus serving as his or her own control.
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The processing of the CT images obtained in each center for the creation of the 3D model will be performed centrally by the team of radiologists and computer scientists of the company Cella Medical Solutions.
This team will be blinded to the reports of the CT scans.For each patient 4 NCCN check-lists will be filled in without knowing the result of the surgery or the AP study: 2 based on the conventional CT and two based on the 3D-MSP study.
A multiphase CT (venous phase and pancreatographic phase) with 1mm thick slices and series of images in coronal, axial and sagittal reconstructions will be performed.
This CT model will be performed at disease diagnosis and after completion of neoadjuvant chemotherapy treatment.
Both CT scans will be independently reported by a radiologist from the hospital of origin.
The preoperative CT scan will also be evaluated a posteriori by a radiologist from the sponsoring center with expertise in PAC.
Both reports (the one from the radiologist of the center and the one from the radiologist of the sponsoring center) will be used to fill out the imaging study variables sheet based on the latest version of the NCCN 2022 guidelines.
The radiologists will not know the outcome of the surgery or the anatomic pathology study at the time of the completion of the report.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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To compare the accuracy of the 3D-MSP model versus conventional CT for preoperative diagnosis of vascular involvement (venous and/or arterial) after neoadjuvant chemotherapy in patients with borderline or locally advanced PCA.
Time Frame: Through study completion, an average of 2 months
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Vascular (arterial and/or venous) involvement by the tumor.
The sensitivity, specificity, predictive values and area under the ROC curve of the preoperative evaluation by conventional CT and 3D-MSP model will be compared with the result of the surgery and the pathological anatomy of the tumor (gold standard).
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Through study completion, an average of 2 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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To analyze the accuracy of 3D-MSP technology in evidencing response to neoadjuvant chemotherapy.
Time Frame: Through study completion, an average of 2 months
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The sensitivity, specificity, predictive values and area under the ROC curve of the preoperative evaluation by conventional CT and 3D-MSP model will be compared with the result of the surgery and the pathological anatomy of the tumor (gold standard).
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Through study completion, an average of 2 months
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To determine whether quantitative texture analysis (radiomics) has a higher sensitivity and specificity than CT for diagnosing vascular involvement (venous and/or arterial) in the study group.
Time Frame: Through study completion, an average of 2 months
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A posteriori, a texture analysis will be performed on both tumor tissue and adjacent tissue by Cella's radiomics team.
Approximately 1500 features related to intensity (histogram), shape (volume), transform-based and radial descriptors will be extracted.
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Through study completion, an average of 2 months
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Validate the usefulness of 3D-MSP technology for application in teaching, patient communication and surgical planning.
Time Frame: Through study completion, an average of 2 months
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A multi-question, multi-response survey will be used to subjectively determine the usefulness of the 3D model.
The surveys will be answered by expert pancreatic surgeons and residents who did not participate and who are unfamiliar with the outcome of the surgery and the pathological anatomy.
We will evaluate 3 areas of of interest: anatomy, surgical planning, and teaching.
The ability of the 3D model for patient-physician communication will also be explored.
Patients visualize the traditional CT images and the 3D model after surgery by
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Through study completion, an average of 2 months
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Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
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
- 3D-PANC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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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