Customized Bone Allografts by 3D-printing
3D-MALF 2
1 other identifier
interventional
42
1 country
1
Brief Summary
Virtual surgical planning (VSP), the simulation of bone corrections in virtual reality ("Computer Aided Surgical Simulation": CASS) and 3D printing of customized implants and devices are achieving an increasingly central role in clinical practice and orthopaedic surgery. Those technologies and processes allow an allow incredibly versatile and accurate planning and reproduction of complex bone correction or joint replacement procedures. Recent and converging evidence document how the use of these technologies is able to significantly reduce surgical times, bleeding and intra-operative complications, and the use of intra-operative fluoroscopy. Due to the collaboration between the ward of Pediatric Orthopedics and Traumatology of the Rizzoli Orthopedic Institute and the Department of Industrial Engineering (DIN) of the University of Bologna it was possible to experiment, validate and introduce simulation, planning and personalization technologies of interventions of corrective surgery of Musculoskeletal Disorders (MSDs) of the limbs in childhood and developmental age into clinical practice. (3D-MALF - CE AVEC: 356/2018/Sper/IOR). Currently, extremely complex bone correction interventions are often planned and performed through Computer Aided Design (CAD) and 3D printing of models and custom sterilizable cutting guides (Patient-Specific Instrument, PSI). In pediatric orthopedic surgery is often necessary to use homologous massive bone grafts customized on the patient's anatomy, which can be employed in the replacement of neoplastic lesions, in the axial correction of deformities or even in the extemporaneous lengthening of bone segments. The Musculoskeletal Tissue Bank (BTM) regularly provides bone grafts processed in a Class A controlled contamination environment according to GMP (Clean Room), guaranteeing quality and microbiological safety. The current realization standard of bone grafts on specific request is a freehand realization. The BTM technicians model the grafts, based on the indications received (length, width, height, indications on geometry), using standard surgical instruments (osteotomes, oscillating saws, etc.). The present clinical trial aims to validate the feasibility, accuracy and effectiveness of an innovative process for producing customized bone allografts to correct bone deformities in children. the customization process will be conducted by using computer-aided surgical simulation and 3D printing.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jun 2022
Longer than P75 for not_applicable
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
Study Start
First participant enrolled
June 1, 2022
CompletedFirst Submitted
Initial submission to the registry
December 19, 2022
CompletedFirst Posted
Study publicly available on registry
January 26, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 30, 2027
August 13, 2025
August 1, 2025
4.1 years
December 19, 2022
August 12, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
allograft dimensions
The main dimensions of the obtained graft (height, lenght and depth), which are also the most clinically significant, will be measured in millimiters in the clean-room. The analysis of the dimensions obtained will be performed reconstructing the CT images of the graft. These dimensions will be compared with those planned by VSP, in order to examine the accuracy, reliability, and repeatability of the graft processing through GSI compared to standard processing.
The measurements will be collected during the first three years of the study.
allograft volume
The volume of the obtained graft will be measured in millimiters square in the clean-room. The analysis of the volumes obtained will be performed reconstructing the CT images of the graft. These values will be compared with those planned by VSP, in order to examine the accuracy, reliability, and repeatability of the graft processing through GSI compared to standard processing.
The measurements will be collected during the first three years of the study.
Secondary Outcomes (9)
cost analysis
The cost analysis will be conducted during the first three years of the study.
Geometrical-structural analysis of PSI and GSI
The geometrical-structural analysis will be conducted during the first three years of the study.
operating time
The analysis will be conducted during the first three years of the study.
Fluoroscopy time
The analysis will be conducted during the first three years of the study.
Intraoperative bleeding
The analysis will be conducted during the first three years of the study.
- +4 more secondary outcomes
Study Arms (2)
Standard Group
SHAM COMPARATORThe main measures of the designed graft are extrapolated from VSP. The dimensioned drawings of the graft are delivered to the bone bank that prepares the graft according to standard procedures.
GSI Group
ACTIVE COMPARATORThe main measures of the designed graft are extrapolated from VSP. The bone bank provides a series of CTs of bone segments from those available for processing. These bone segments are reconstructed and compared with the planning to find the best match. Once defined which bone segment will be used, if necessary, the planning is adapted to it.
Interventions
Preoperative VSP is performed starting from 3D digital models obtained from DICOM data of CT-scan with a segmentation process. If applicable, a model of the contralateral limb is obtained and used as reference for the correction. The surgeon and the engineer together define the surgical strategy, establishing the correction, the design of Patient-Specific Instruments (PSIs) and the hardware to implant. Then, through VSP, an ideal model of the bone graft is designed.
The size dimensions obtained through VSP are used by the tissue bank to manually cut a structural bone graft according to the standard protocols.
The best donor bone is identified by matching the 3D models provided by bone bank with the planned graft, considering not only the size but also the most suitable configuration of cortical and medullary bone. Then GSIs are designed and 3D printed to perform the exact cut on the donor bone according to the experimental protocol.
The acute surgical correction is performed according to VSP using PSI and the customized bone graft. Preoperative variables (age, sex, disease, deformity), intraoperative variables (operation time, intraoperative complications, use of fluoroscopy, intraoperative bleeding) are registered.
Eligibility Criteria
You may qualify if:
- From 2 to 18 years old
- Diagnosis of limbs musculoskeletal diseases
- Need for uni- or poly-axial correction through one or more osteotomies
- Need for massive bone graft to stabilize the correction
- Consent to the processing of data
You may not qualify if:
- Patients who refuse the VSP study
- Patients who do not undergo in-depth radiological examinations or patients with insufficient radiological documentation
- Patients who undergo different interventions for the correction of musculoskeletal disease
- Patients who do not need a massive bone graft
- Pregnant women
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Istituto Ortopedico Rizzolilead
- University of Bolognacollaborator
Study Sites (1)
IRCCS - Istituto Ortopedico Rizzoli
Bologna, 40136, Italy
Related Publications (15)
Raza M, Murphy D, Gelfer Y. The effect of three-dimensional (3D) printing on quantitative and qualitative outcomes in paediatric orthopaedic osteotomies: a systematic review. EFORT Open Rev. 2021 Feb 1;6(2):130-138. doi: 10.1302/2058-5241.6.200092. eCollection 2021 Feb.
PMID: 33828856BACKGROUNDGrassi FR, Grassi R, Vivarelli L, Dallari D, Govoni M, Nardi GM, Kalemaj Z, Ballini A. Design Techniques to Optimize the Scaffold Performance: Freeze-dried Bone Custom-made Allografts for Maxillary Alveolar Horizontal Ridge Augmentation. Materials (Basel). 2020 Mar 19;13(6):1393. doi: 10.3390/ma13061393.
PMID: 32204393BACKGROUNDFrizziero L, Santi GM, Leon-Cardenas C, Ferretti P, Sali M, Gianese F, Crescentini N, Donnici G, Liverani A, Trisolino G, Zarantonello P, Stallone S, Di Gennaro GL. Heat Sterilization Effects on Polymeric, FDM-Optimized Orthopedic Cutting Guide for Surgical Procedures. J Funct Biomater. 2021 Nov 19;12(4):63. doi: 10.3390/jfb12040063.
PMID: 34842761BACKGROUNDFrizziero L, Santi GM, Leon-Cardenas C, Donnici G, Liverani A, Papaleo P, Napolitano F, Pagliari C, Di Gennaro GL, Stallone S, Stilli S, Trisolino G, Zarantonello P. In-House, Fast FDM Prototyping of a Custom Cutting Guide for a Lower-Risk Pediatric Femoral Osteotomy. Bioengineering (Basel). 2021 May 26;8(6):71. doi: 10.3390/bioengineering8060071.
PMID: 34073324BACKGROUNDFerretti P, Leon-Cardenas C, Santi GM, Sali M, Ciotti E, Frizziero L, Donnici G, Liverani A. Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects. Polymers (Basel). 2021 Jun 30;13(13):2190. doi: 10.3390/polym13132190.
PMID: 34209372BACKGROUNDFrizziero L, Pagliari C, Donnici G, Liverani A, Santi GM, Papaleo P, Napolitano F, Leon-Cardenas C, Trisolino G, Zarantonello P, Di Gennaro GL, Stilli S, Stallone S. Effectiveness Assessment of CAD Simulation in Complex Orthopedic Surgery Practices. Symmetry. 2021; 13(5):850.
BACKGROUNDFrizziero L, Santi GM, Liverani A, Napolitano F, Papaleo P, Maredi E, Gennaro GLD, Zarantonello P, Stallone S, Stilli S, Trisolino G. Computer-Aided Surgical Simulation for Correcting Complex Limb Deformities in Children. Applied Sciences. 2020; 10(15):5181.
BACKGROUNDOsti F, Santi GM, Neri M, Liverani A, Frizziero L, Stilli S, Maredi E, Zarantonello P, Gallone G, Stallone S, Trisolino G. CT Conversion Workflow for Intraoperative Usage of Bony Models: From DICOM Data to 3D Printed Models. Applied Sciences. 2019; 9(4):708.
BACKGROUNDFrizziero L, Santi GM, Liverani A, Giuseppetti V, Trisolino G, Maredi E, Stilli S. Paediatric Orthopaedic Surgery with 3D Printing: Improvements and Cost Reduction. Symmetry. 2019; 11(10):1317.
BACKGROUNDFrizziero L, Santi GM, Leon-Cardenas C, Donnici G, Liverani A, Napolitano F, Papaleo P, Pagliari C, Antonioli D, Stallone S, Di Gennaro GL, Trisolino G, Zarantonello P. An Innovative and Cost-Advantage CAD Solution for Cubitus Varus Surgical Planning in Children. Applied Sciences. 2021; 11(9):4057.
BACKGROUNDKim HJ, Yoo SY, Jeon TY, Kim JH. Model-based iterative reconstruction in ultra-low-dose pediatric chest CT: comparison with adaptive statistical iterative reconstruction. Clin Imaging. 2016 Sep-Oct;40(5):1018-22. doi: 10.1016/j.clinimag.2016.06.006. Epub 2016 Jun 16.
PMID: 27348057BACKGROUNDChiesa AM, Spinnato P, Miceli M, Facchini G. Radiologic Assessment of Osteosarcoma Lung Metastases: State of the Art and Recent Advances. Cells. 2021 Mar 4;10(3):553. doi: 10.3390/cells10030553.
PMID: 33806513BACKGROUNDMeyer S, Hirsch JM, Leiggener CS, Msallem B, Sigron GR, Kunz C, Thieringer FM. Fibula Graft Cutting Devices: Are 3D-Printed Cutting Guides More Precise than a Universal, Reusable Osteotomy Jig? J Clin Med. 2020 Dec 20;9(12):4119. doi: 10.3390/jcm9124119.
PMID: 33419329BACKGROUNDZelen M. The randomization and stratification of patients to clinical trials. J Chronic Dis. 1974 Sep;27(7-8):365-75. doi: 10.1016/0021-9681(74)90015-0. No abstract available.
PMID: 4612056BACKGROUNDThibault, JB. Veo: CT Model-Based Iterative Reconstruction. 2010. Available online: http://www.gehealthcare.com
BACKGROUND
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Giovanni Trisolino, MD
IRCCS - Istituto Ortopedico Rizzoli
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, CARE PROVIDER
- Masking Details
- Both the doctor and the patient will not be aware of the graft preparation method.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 19, 2022
First Posted
January 26, 2023
Study Start
June 1, 2022
Primary Completion (Estimated)
June 30, 2026
Study Completion (Estimated)
June 30, 2027
Last Updated
August 13, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, CSR
- Time Frame
- The data will be kept by the principal investigator for the time necessary for scientific production.
- Access Criteria
- IPD available on request due to restrictions. The IPD presented in this protocol could be available on request from the principal investigator. The data are not publicly available due to national privacy regulations.
We are planning to share preoperative IPD (age, sex, disease and deformity), intraoperative IPD (operation time, intraoperative complications, use of fluoroscopy, intraoperative bleeding) and outcomes.