Frank Rybicki

Dr. Frank Rybicki


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 April 2020 in 3D Printing in Medicine
Verified
Journal Article
Open access
PDF file
RTRance Tino
Rance Tino
RMRyan Moore
Ryan Moore
SASam Antoline
Sam Antoline
PRPrashanth Ravi
Prashanth Ravi
NWNicole Wake
Nicole Wake
LCLeonid Chepelev
Leonid Chepelev

1 July 2020 in RadioGraphics
Verified
Journal Article
Closed access
DMDimitrios Mitsouras
Dimitrios Mitsouras
PLPeter C. Liacouras
Peter C. Liacouras
NWNicole Wake
Nicole Wake
FRFrank Rybicki
Frank Rybicki
Radiologists are uniquely poised as leaders in the medical 3D printing domain and have initiated initial dialogue addressing the large unmet need for safe best practices in medical centers. Editor’s Note.—Articles in the RadioGraphics Update section provide current knowledge to supplement or update information found in full-length articles previously published in RadioGraphics. Author...

18 August 2022 in Journal of the American College of Radiology
Verified
Journal Article
Closed access
PRPrashanth Ravi
Prashanth Ravi
MBMichael B. Burch
Michael B. Burch
SFShayan Farahani
Shayan Farahani
LCLeonid L. Chepelev
Leonid L. Chepelev
DYDavid Yang
David Yang
BGBrian Grawe
Brian Grawe

18 March 2021 in Medical Physics
Verified
Journal Article
Open access
PDF file
PRPrashanth Ravi
Prashanth Ravi
LCLeonid Chepelev
Leonid Chepelev
NLNathan Lawera
Nathan Lawera
KHKhan Md. Ariful Haque
Khan Md. Ariful Haque
VCVictoria Chen
Victoria Chen
FRFrank Rybicki
Frank Rybicki
Purpose: The dimensional accuracy of three‐dimensional (3D) printed anatomical models is essential to correctly understand spatial relationships and enable safe presurgical planning. Most recent accuracy studies focused on 3D printing of a single pathology for surgical planning. This study evaluated the accuracy of medical models across multiple pathologies, using desktop inverted vat photopolymerization (VP) to 3D print anatomic models using both rigid and elastic materials.Methods: In the primary study, we 3D printed seven models (six anatomic models and one reference cube) with volumes ranging from ~2 to ~209 cc. The anatomic models spanned multiple pathologies (neurological, cardiovascular, abdominal, musculoskeletal). Two solid measurement landing blocks were strategically created around the pathology to allow high‐resolution measurement using a digital micrometer and/or caliper. The physical measurements were compared to the designed dimensions, and further analysis was conducted regarding the observed patterns in accuracy. All of the models were printed in three resins: Elastic, Clear, and Grey Pro in the primary experiments. A full factorial block experimental design was employed and a total of 42 models were 3D printed in 21 print runs. In the secondary study, we 3D printed two of the anatomic models in triplicates selected from the previous six to evaluate the effect of 0.1 mm vs 0.05 mm layer height on the accuracy.Results: In the primary experiment, all dimensional errors were less than 1 mm. The average dimensional error across the 42 models was 0.238 0.219 mm and the relative error was 1.10 1.13%. Results from the secondary experiments were similar with an average dimensional error of 0.252 0.213 mm and relative error of 1.52% 1.28% across 18 models. There was a statistically significant difference in the relative errors between the Elastic resin and Clear resin groups. We explained this difference by evaluating inverted VP 3D printing peel forces. There was a significant difference between the Solid and Hollow group of models. There was a significant difference between measurement landing blocks oriented Horizontally and Vertically. In the secondary experiments, there was no difference in accuracy between the 0.10 and 0.05 mm layer heights.Conclusions: The maximum measured error was less than 1 mm across all models, and the mean error was less than 0.26mm. Therefore, inverted VP 3D printing technology is suitable for medical 3D printing if 1 mm is considered the cutoff for clinical use cases. The 0.1 mm layer height is suitable for 3D printing accurate anatomical models for presurgical planning in a majority of cases. Elastic models, models oriented horizontally, and models that are hollow tend to have relatively higher deviation as seen from experimental results and mathematical model predictions. While clinically insignificant using a 1 mm cutoff, further research is needed to better understand the complex physical interactions in VP 3D printing which influence model accuracy.

30 June 2023 in Bioengineering
Verified
Journal Article
Open access
PDF file
PPParimal Thakorbhai Patel
Parimal Thakorbhai Patel
KDKashish Dhal
Kashish Dhal
RGRajul Gupta
Rajul Gupta
Karthik TappaKarthik Tappa
Karthik Tappa
FRFrank Rybicki
Frank Rybicki
PRPrashanth Ravi
Prashanth Ravi
Medical 3D printing is a complex, highly interdisciplinary, and revolutionary technology that is positively transforming the care of patients. The technology is being increasingly adopted at the Point of Care (PoC) as a consequence of the strong value offered to medical practitioners. One of the key technologies within the medical 3D printing portfolio enabling this transition is desktop inverted Vat Photopolymerization (VP) owing to its accessibility, high quality, and versatility of materials. Several reports in the peer-reviewed literature have detailed the medical impact of 3D printing technologies as a whole. This review focuses on the multitude of clinical applications of desktop inverted VP 3D printing which have grown substantially in the last decade. The principles, advantages, and challenges of this technology are reviewed from a medical standpoint. This review serves as a primer for the continually growing exciting applications of desktop-inverted VP 3D printing in healthcare.

1 August 2023 in 3D Printing in Medicine
Verified
Journal Article
Open access
PDF file
ASAakanksha Sriwastwa
Aakanksha Sriwastwa
PRPrashanth Ravi
Prashanth Ravi
AEAndrew Emmert
Andrew Emmert
SCShivum Chokshi
Shivum Chokshi
SKShayne Kondor
Shayne Kondor
RGRajul Gupta
Rajul Gupta