Pelvic Tumor Clinical Trial
— 3D-PEDSURGOfficial title:
Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging
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.
Status | Not yet recruiting |
Enrollment | 60 |
Est. completion date | June 2026 |
Est. primary completion date | May 2026 |
Accepts healthy volunteers | |
Gender | All |
Age group | 3 Months to 17 Years |
Eligibility | Inclusion Criteria: 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 Exclusion Criteria: 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 - Patients having participated in a therapeutic clinical trial involving a new molecule within 30 days before inclusion - Emergency situation |
Country | Name | City | State |
---|---|---|---|
France | Hôpital Necker Enfants Malades | Paris |
Lead Sponsor | Collaborator |
---|---|
Assistance Publique - Hôpitaux de Paris | Imagine Institute, Ligue contre le cancer, France |
France,
Bernhard 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. — View Citation
Bertrand 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. — View Citation
Hampshire 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. — View Citation
Ibrahim 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. — View Citation
Simons 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 Feb 24:S0022-3468(24)00107-6. doi: 10.1016/j.jpedsurg.2024.02.025. Online ahead of print. — View Citation
Talanki 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. — View Citation
Valls-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. — View Citation
van 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. — View Citation
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. — View Citation
Youn 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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Segmentation comparison | Comparison of the automatically segmented 3D model to the reference manual segmentation, based on the Dice precision index | 1 month | |
Secondary | Distance comparison | Distance comparison between the reference segmentation and the one obtained by the algorithm using the Hausdorff spacing. | 1 month | |
Secondary | Anatomical structure recognition comparison | Recognition of anatomical structures comparison from 2D imaging and 3D imaging from score 1/score 3 of the pré-operative questionnaire for operating or external surgeons | Day 0 | |
Secondary | Pre-operative planning contribution | Contribution of 3D modeling comparison to 2D imaging in pre-operative planning from score 2/score 4 of the pre-operative questionnaire for operating or external surgeons | Day 0 | |
Secondary | Added value evaluation | Added value evaluation of 3D modelling compared to 2D imaging by using score 5 of the pre-operative questionnaire for operating or external surgeons | Day 0 | |
Secondary | Surgeons' support evaluation in pre-operative routine | Surgeons' support evaluation for integrating 3D modelling into routine pre-operative planning from score 6 of the pre-operative questionnaire for operating or external surgeons | Day 0 | |
Secondary | 2D imaging evaluation contribution for families' understanding | Evaluation of the contribution of 3D modelling for families in understanding the information (pathology and surgery) delivered by the surgeon to parents pre-operatively from score 1 of the family questionnaire | Day 0 | |
Secondary | 3D modelling evaluation contribution for families' understanding | Evaluation of the contribution of 3D modelling for families in understanding the information (pathology and surgery) delivered by the surgeon to parents pre-operatively from score 2 of the family questionnaire | Day 0 | |
Secondary | 3D modelling added value evaluation pre-operatively | Added value evaluation of 3D modelling compared to 2D imaging for families pre-operatively from score 3 of the family questionnaire | Day 0 | |
Secondary | 3D modelling added value evaluation during surgery | Contribution of 3D modelling evaluation compared to 2D imaging for surgeons during surgery from score 1 of the post-operative questionnaire for operating surgeons and their helpers | 1 month | |
Secondary | Consistency evaluation between 3D modelling and anatomy | Consistency evaluation of the 3D imaging with anatomy observed intraoperatively from score 2 of the post-operative questionnaire for operating surgeons and their helpers | 1 month | |
Secondary | Surgeons' support evaluation in current practice | Surgeons' support evaluation for integrating 3D modeling into their current practice from score 3 of the post-operative questionnaire for operating surgeons and their helpers | 1 month |
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