Literature DB >> 24962843

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

Jonathan L Silberstein1, Michael M Maddox2, Phillip Dorsey2, Allison Feibus2, Raju Thomas2, Benjamin R Lee2.   

Abstract

OBJECTIVE: To construct high-fidelity, patient customized, physical, 3-dimensional (3D) models of renal units with enhancing renal lesions identified on cross-sectional imaging, which may aid patients, trainees, and clinicians in their comprehension, characterization, localization, and extirpation of suspicious renal masses.
METHODS: Specialized software was used to import patient's diagnostic computerized tomography cross-sectional imaging into 3D printers and create physical 3D models of renal units with enhancing in situ lesions. Patients and trainees had the opportunity to manipulate the individualized model before surgical resection. Sterolithography additive manufacturing, a technique in which an ultraviolet laser is used to cure a photosensitive resin in sequential horizontally oriented layers, was used to build the models (Medical Modeling Inc., Golden, CO). Normal renal parenchyma was printed with a clear translucent resin, and red translucent resin delineated suspicious lesions. Renal vasculature and the proximal collecting system were printed in some models.
RESULTS: We constructed 5 physical models of renal units with suspected malignancies before surgery. All patients successfully underwent partial nephrectomy (4 robotic and 1 open). Average ischemia time was 21 minutes, nephrometry score was 6.8, and all margins were negative. Anecdotally, patients, their families, and trainees consistently stated that the models enhanced their comprehension of the renal tumor in relation to surrounding normal renal parenchyma and hilar structures and improved understanding of the goals of the surgery.
CONCLUSION: Preoperative physical 3D models using available printing techniques can be constructed and may potentially influence both patients' and trainees' understanding of renal malignancies.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24962843     DOI: 10.1016/j.urology.2014.03.042

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  60 in total

Review 1.  Medical 3D Printing for the Radiologist.

Authors:  Dimitris Mitsouras; Peter Liacouras; Amir Imanzadeh; Andreas A Giannopoulos; Tianrun Cai; Kanako K Kumamaru; Elizabeth George; Nicole Wake; Edward J Caterson; Bohdan Pomahac; Vincent B Ho; Gerald T Grant; Frank J Rybicki
Journal:  Radiographics       Date:  2015 Nov-Dec       Impact factor: 5.333

2.  Recent advances in surgical planning & navigation for tumor biopsy and resection.

Authors:  Defeng Wang; Diya Ma; Matthew Lun Wong; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2015-10

3.  3D Printing and Its Urologic Applications.

Authors:  Youssef Soliman; Allison H Feibus; Neil Baum
Journal:  Rev Urol       Date:  2015

4.  3D imaging applications for robotic urologic surgery: an ESUT YAUWP review.

Authors:  Enrico Checcucci; Daniele Amparore; Cristian Fiori; Matteo Manfredi; Morra Ivano; Michele Di Dio; Gabriel Niculescu; Federico Piramide; Giovanni Cattaneo; Pietro Piazzolla; Giovanni Enrico Cacciamani; Riccardo Autorino; Francesco Porpiglia
Journal:  World J Urol       Date:  2019-08-27       Impact factor: 4.226

5.  Applications of 3D printing in small animal magnetic resonance imaging.

Authors:  John C Nouls; Rohan S Virgincar; Alexander G Culbert; Nathann Morand; Dana W Bobbert; Anne D Yoder; Robert S Schopler; Mustafa R Bashir; Alexandra Badea; Ute Hochgeschwender; Bastiaan Driehuys
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-15

6.  A Festschrift in Honor of Edward M. Messing, MD, FACS.

Authors:  Jean V Joseph; Ralph Brasacchio; Chunkit Fung; Jay Reeder; Kevin Bylund; Deepak Sahasrabudhe; Shu Yuan Yeh; Ahmed Ghazi; Patrick Fultz; Deborah Rubens; Guan Wu; Eric Singer; Edward Schwarz; Supriya Mohile; James Mohler; Dan Theodorescu; Yi Fen Lee; Paul Okunieff; David McConkey; Hani Rashid; Chawnshang Chang; Yves Fradet; Khurshid Guru; Janet Kukreja; Gerald Sufrin; Yair Lotan; Howard Bailey; Katia Noyes; Seymour Schwartz; Kathy Rideout; Gennady Bratslavsky; Steven C Campbell; Ithaar Derweesh; Per-Anders Abrahamsson; Mark Soloway; Leonard Gomella; Dragan Golijanin; Robert Svatek; Thomas Frye; Seth Lerner; Ganesh Palapattu; George Wilding; Michael Droller; Donald Trump
Journal:  Bladder Cancer       Date:  2018-10-03

Review 7.  [Imaging in individualized uro-oncology].

Authors:  J Bründl; J Breyer; M Burger
Journal:  Urologe A       Date:  2018-09       Impact factor: 0.639

8.  3D printed renal cancer models derived from MRI data: application in pre-surgical planning.

Authors:  Nicole Wake; Temitope Rude; Stella K Kang; Michael D Stifelman; James F Borin; Daniel K Sodickson; William C Huang; Hersh Chandarana
Journal:  Abdom Radiol (NY)       Date:  2017-05

9.  Do 3D Printing Models Improve Anatomical Teaching About Hepatic Segments to Medical Students? A Randomized Controlled Study.

Authors:  Xiangxue Kong; Lanying Nie; Huijian Zhang; Zhanglin Wang; Qiang Ye; Lei Tang; Wenhua Huang; Jianyi Li
Journal:  World J Surg       Date:  2016-08       Impact factor: 3.352

10.  Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists' and patients' perception.

Authors:  Francesco Porpiglia; Riccardo Bertolo; Enrico Checcucci; Daniele Amparore; Riccardo Autorino; Prokar Dasgupta; Peter Wiklund; Ashutosh Tewari; Evangelos Liatsikos; Cristian Fiori
Journal:  World J Urol       Date:  2017-11-10       Impact factor: 4.226

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