Contribution of 3D Modeling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors
3D-PEDSURG
Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging
2 other identifiers
observational
60
1 country
1
Brief Summary
This study's purpose is the comparison of the automatically segmented 3D model to the reference manual segmentation, based on the Dice precision index. It is implemented by making parents' patients, surgeons and surgical helpers answer specific questions comparing 3D images to usual 2D images of the patient's tumor.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Sep 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 13, 2024
CompletedFirst Posted
Study publicly available on registry
May 17, 2024
CompletedStudy Start
First participant enrolled
September 16, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 1, 2026
March 23, 2026
March 1, 2026
1.9 years
May 13, 2024
March 19, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Segmentation comparison
Comparison of the automatically segmented 3D model to the reference manual segmentation, based on the Dice precision index
1 month
Secondary Outcomes (11)
Distance comparison
1 month
Anatomical structure recognition comparison
Day 0
Pre-operative planning contribution
Day 0
Added value evaluation
Day 0
Surgeons' support evaluation in pre-operative routine
Day 0
- +6 more secondary outcomes
Study Arms (1)
Children planned to get an MRI or CT scan
Children with a pelvic or retroperitoneal tumor requiring an MRI or CT scan for a possible surgical intervention
Eligibility Criteria
Children with a pelvic or retroperitoneal tumor requiring an MRI or CT scan for a possible surgical intervention coming at the hospital for a consultation as part of their standard care.
You may qualify if:
- Children:
- Children between 3 months and less than 18 years old
- Children with a pelvic tumor requiring an MRI for a possible surgical intervention
- Children with a retroperitoneal tumor requiring a CT scan or MRI with a view to surgical intervention
- Children with no contraindication for a CT scan and/or 3T MRI
- Children whose parents do not object to their participation in the study
- Other participants:
- Operating surgeon agreeing to participate in the study
- Caregiver agreeing to participate in the study
- External surgeon agreeing to participate in the study
You may not qualify if:
- Children :
- Contraindication to MRI: metallic ocular foreign body, pacemaker, mechanical heart valve, old vascular clips on cerebral aneurysm
- Need for an MRI under general anaesthesia
- Contraindication for a CT scan with injection: renal failure, allergy to iodinated contrast products
- Emergency situation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- URC-CIC Paris Descartes Necker Cochincollaborator
- Imagine Institutecollaborator
- Ligue contre le cancer, Francecollaborator
- Assistance Publique - Hôpitaux de Parislead
Study Sites (1)
Hôpital Necker Enfants Malades
Paris, 75015, France
Related Publications (10)
Wake N, Wysock JS, Bjurlin MA, Chandarana H, Huang WC. "Pin the Tumor on the Kidney:" An Evaluation of How Surgeons Translate CT and MRI Data to 3D Models. Urology. 2019 Sep;131:255-261. doi: 10.1016/j.urology.2019.06.016. Epub 2019 Jun 22.
PMID: 31233814BACKGROUNDTalanki VR, Peng Q, Shamir SB, Baete SH, Duong TQ, Wake N. Three-Dimensional Printed Anatomic Models Derived From Magnetic Resonance Imaging Data: Current State and Image Acquisition Recommendations for Appropriate Clinical Scenarios. J Magn Reson Imaging. 2022 Apr;55(4):1060-1081. doi: 10.1002/jmri.27744. Epub 2021 May 27.
PMID: 34046959BACKGROUNDIbrahim I, Skoch A, Herynek V, Jiru F, Tintera J. Magnetic resonance tractography of the lumbosacral plexus: Step-by-step. Medicine (Baltimore). 2021 Feb 12;100(6):e24646. doi: 10.1097/MD.0000000000024646.
PMID: 33578590BACKGROUNDvan der Zee JM, Fitski M, Simonis FFJ, van de Ven CP, Klijn AJ, Wijnen MHWA, van der Steeg AFW. Virtual Resection: A New Tool for Preparing for Nephron-Sparing Surgery in Wilms Tumor Patients. Curr Oncol. 2022 Feb 1;29(2):777-784. doi: 10.3390/curroncol29020066.
PMID: 35200565BACKGROUNDBertrand MM, Macri F, Mazars R, Droupy S, Beregi JP, Prudhomme M. MRI-based 3D pelvic autonomous innervation: a first step towards image-guided pelvic surgery. Eur Radiol. 2014 Aug;24(8):1989-97. doi: 10.1007/s00330-014-3211-0. Epub 2014 May 17.
PMID: 24838739BACKGROUNDSimons DC, Buser MAD, Fitski M, van de Ven CP, Ten Haken B, Wijnen MHWA, Tan CO, van der Steeg AFW. Multi-modal 3-Dimensional Visualization of Pediatric Neuroblastoma: Aiding Surgical Planning Beyond Anatomical Information. J Pediatr Surg. 2024 Aug;59(8):1575-1581. doi: 10.1016/j.jpedsurg.2024.02.025. Epub 2024 Feb 24.
PMID: 38461108BACKGROUNDValls-Esteve A, Adell-Gomez N, Pasten A, Barber I, Munuera J, Krauel L. Exploring the Potential of Three-Dimensional Imaging, Printing, and Modeling in Pediatric Surgical Oncology: A New Era of Precision Surgery. Children (Basel). 2023 May 3;10(5):832. doi: 10.3390/children10050832.
PMID: 37238380BACKGROUNDHampshire J, Dicken BJ, Uruththirakodeeswaran T, Punithakumar K, Noga M. Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors. Int J Comput Assist Radiol Surg. 2023 Oct;18(10):1941-1949. doi: 10.1007/s11548-023-02852-y. Epub 2023 Mar 11.
PMID: 36905500BACKGROUNDBernhard JC, Isotani S, Matsugasumi T, Duddalwar V, Hung AJ, Suer E, Baco E, Satkunasivam R, Djaladat H, Metcalfe C, Hu B, Wong K, Park D, Nguyen M, Hwang D, Bazargani ST, de Castro Abreu AL, Aron M, Ukimura O, Gill IS. Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education. World J Urol. 2016 Mar;34(3):337-45. doi: 10.1007/s00345-015-1632-2. Epub 2015 Jul 11.
PMID: 26162845BACKGROUNDYoun JK, Park SJ, Choi YH, Han JW, Ko D, Byun J, Yang HB, Kim HY. Application of 3D printing technology for pre-operative evaluation, education and informed consent in pediatric retroperitoneal tumors. Sci Rep. 2023 Jan 30;13(1):1671. doi: 10.1038/s41598-023-28423-4.
PMID: 36717595BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Sabine SARNACKI, MD
Assistance Publique - Hôpitaux de Paris
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 13, 2024
First Posted
May 17, 2024
Study Start
September 16, 2024
Primary Completion (Estimated)
August 1, 2026
Study Completion (Estimated)
September 1, 2026
Last Updated
March 23, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share