Literature DB >> 34390371

How specific are patient-specific simulations? Analyzing the accuracy of 3D-printing and modeling to create patient-specific rehearsals for complex urological procedures.

Rachel Melnyk1, Daniel Oppenheimer2, Ahmed E Ghazi3,4.   

Abstract

PURPOSE: In the field of urology, 3D printing and modeling are now regularly utilized to enhance pre-operative planning, surgical training, patient-specific rehearsals (PSR), and patient education and counseling. Widespread accessibility and affordability of such technologies necessitates development of quality control measures to confirm the anatomical accuracy of these tools. Herein, we present three methods utilized to evaluate the anatomical accuracy of hydrogel PSR, developed using 3D printing and molding for pre-operative surgical rehearsals, of robotic-assisted partial nephrectomy (RAPN) and percutaneous nephrolithotomy (PCNL).
METHODS: Virtual computer-aided designs (CADs) of patient anatomy were created through segmentation of patient CT scan images. Ten patient-specific RAPN and PCNL hydrogel models were CT scanned and segmented to create a corresponding model CAD. The part compare tool (3-matic, Materialize), point-to-point measurements, and Dice similarity coefficient (DSC) analyzed surface geometry, alignment, and volumetric overlap of each model component.
RESULTS: Geometries of the RAPN parenchyma, tumor, artery, vein, and pelvicalyceal system lay within an average deviation of 2.5 mm (DSC = 0.70) of the original patient geometry and 5 mm (DSC = 0.45) of the original patient alignment. Similarly, geometries of the PCNL pelvicalyceal system and stone lay within 2.5 mm (DSC = 0.6) and within 15 mm (16% deviation) in alignment. This process enabled the refinement of our modeling process to fabricate anatomically accurate RAPN and PCNL PSR.
CONCLUSION: As 3D printing and modeling continues to have a greater impact on patient care, confirming anatomical accuracy should be introduced as a quality control measure prior to use for patient care.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  3D printing; Anatomical accuracy; Partial nephrectomy; Patient-specific; Percutaneous nephrolithotomy; Simulations

Mesh:

Year:  2021        PMID: 34390371     DOI: 10.1007/s00345-021-03797-0

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  14 in total

Review 1.  Measuring and Establishing the Accuracy and Reproducibility of 3D Printed Medical Models.

Authors:  Elizabeth George; Peter Liacouras; Frank J Rybicki; Dimitrios Mitsouras
Journal:  Radiographics       Date:  2017-08-11       Impact factor: 5.333

Review 2.  Three-Dimensional Printing in Urology: History, Current Applications, and Future Directions.

Authors:  Niki Parikh; Pranav Sharma
Journal:  Urology       Date:  2018-08-21       Impact factor: 2.649

3.  Looking beyond the Horizon: Patient-specific Rehearsals for Complex Liver Surgeries with 3D Printed Model.

Authors:  Koji Tomiyama; Ahmed Ghazi; Roberto Hernandez Alejandro
Journal:  Ann Surg       Date:  2020-09-15       Impact factor: 12.969

4.  Multi-institutional validation of a perfused robot-assisted partial nephrectomy procedural simulation platform utilizing clinically relevant objective metrics of simulators (CROMS).

Authors:  Ahmed Ghazi; Rachel Melnyk; Andrew J Hung; Justin Collins; Ashkan Ertefaie; Patrick Saba; Pratik Gurung; Thomas Frye; Hani Rashid; Guan Wu; Alex Mottrie; Tony Costello; Prokar Dasgupta; Jean Joseph
Journal:  BJU Int       Date:  2020-10-06       Impact factor: 5.588

Review 5.  3D printing technology and its role in urological training.

Authors:  Brandon Smith; Prokar Dasgupta
Journal:  World J Urol       Date:  2019-11-01       Impact factor: 4.226

6.  Validation of a Full-Immersion Simulation Platform for Percutaneous Nephrolithotomy Using Three-Dimensional Printing Technology.

Authors:  Ahmed Ghazi; Timothy Campbell; Rachel Melnyk; Changyong Feng; Alex Andrusco; Jonathan Stone; Erdal Erturk
Journal:  J Endourol       Date:  2017-12       Impact factor: 2.942

Review 7.  Systematic Review of Patient-Specific Surgical Simulation: Toward Advancing Medical Education.

Authors:  Won Hyung A Ryu; Navjit Dharampal; Ahmed E Mostafa; Ehud Sharlin; Gail Kopp; William Bradley Jacobs; Robin John Hurlbert; Sonny Chan; Garnette R Sutherland
Journal:  J Surg Educ       Date:  2017-06-07       Impact factor: 2.891

8.  Physical models of renal malignancies using standard cross-sectional imaging and 3-dimensional printers: a pilot study.

Authors:  Jonathan L Silberstein; Michael M Maddox; Phillip Dorsey; Allison Feibus; Raju Thomas; Benjamin R Lee
Journal:  Urology       Date:  2014-06-21       Impact factor: 2.649

9.  Utilizing 3D Printing and Hydrogel Casting for the Development of Patient-Specific Rehearsal Platforms for Robotic Assisted Partial Nephrectomies.

Authors:  Ahmed Ghazi; Patrick Saba; Rachel Melnyk; Jean Joseph
Journal:  Urology       Date:  2020-10-28       Impact factor: 2.649

10.  3D Printing, Augmented Reality, and Virtual Reality for the Assessment and Management of Kidney and Prostate Cancer: A Systematic Review.

Authors:  Nicole Wake; Jeffrey E Nussbaum; Marie I Elias; Christine V Nikas; Marc A Bjurlin
Journal:  Urology       Date:  2020-06-12       Impact factor: 2.649

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  2 in total

1.  Patient specific simulation in urology: where are we now and what does the future look like?

Authors:  Ahmed Ghazi
Journal:  World J Urol       Date:  2022-03       Impact factor: 4.226

Review 2.  New imaging technologies for robotic kidney cancer surgery.

Authors:  Stefano Puliatti; Ahmed Eissa; Enrico Checcucci; Pietro Piazza; Marco Amato; Stefania Ferretti; Simone Scarcella; Juan Gomez Rivas; Mark Taratkin; Josè Marenco; Ines Belenchon Rivero; Karl-Friedrich Kowalewski; Giovanni Cacciamani; Ahmed El-Sherbiny; Ahmed Zoeir; Abdelhamid M El-Bahnasy; Ruben De Groote; Alexandre Mottrie; Salvatore Micali
Journal:  Asian J Urol       Date:  2022-06-01
  2 in total

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