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Morris, Jonathan M.

https://orcid.org/0000-0001-5035-3910

Mayo Clinic

Mayo Clinic

Citations 100

3D Modeling for Approach Selection Pedagogy in Complex Cranial Surgery: Skull Basics Overview and Proof-of-Concept Results
Nguyen, Bachtri T. , Srinivasan, Visish M. , Holroyd, Michael J., Perry, Avital , Peris‐Celda, Maria , Link, Michael J., Graffeo, Christopher S. , Morris, Jonathan M. , Holroyd, Michael J., Carlstrom, Lucas P. , Link, Michael J.

Journal of Neurological Surgery Part B: Skull Base | March 20, 2023 | Volume: 84 | Issue: S 01 | Pages: S1-S344

10.1055/s-0043-1762111 Get It

Open-Source Virtual Reality and 3D-Printable Models for Skull Base Triangle Neuroanatomy Education
Nguyen, Bachtri T. , Perry, Avital , Link, Michael J., Peris‐Celda, Maria , Graffeo, Christopher S. , Carlstrom, Lucas P. , Link, Michael J. , Morris, Jonathan M.

Journal of Neurological Surgery Part B: Skull Base | March 20, 2023 | Volume: 84 | Issue: S 01 | Pages: S1-S344

10.1055/s-0043-1762108 Get It

A 3D Printed, Multicolor, Drillable Simulation System for Skull Base Drilling with Direct, Objective Real-Time Feedback
Nguyen, Bachtri T. , Srinivasan, Visish M. , Holroyd, Michael J., Perry, Avital , Peris‐Celda, Maria , Link, Michael J., Graffeo, Christopher S. , Morris, Jonathan M. , Holroyd, Michael J., Carlstrom, Lucas P. , Link, Michael J.

Journal of Neurological Surgery Part B: Skull Base | March 20, 2023 | Volume: 84 | Issue: S 01 | Pages: S1-S344

10.1055/s-0043-1762015 Get It

Foundations and guidelines for high‐quality three‐dimensional models using photogrammetry: A technical note on the future of neuroanatomy education
Oliveira, André de Sá Braga , Leonel, Luciano, LaHood, Edward R., Hallak, Hana , Link, Michael J. , Maleszewski, Joseph J. , Pinheiro‐Neto, Carlos , Morris, Jonathan M. , Peris‐Celda, Maria , Leonel, Luciano César Pereira Campos , Pinheiro-Neto, Carlos D , Morris, Jonathan

Anatomical Sciences Education | March 19, 2023 | Volume: 16 | Issue: 5 | Pages: 870-883

10.1002/ase.2274 Get It

Abstract Hands‐on dissections using cadaveric tissues for neuroanatomical education are not easily available in many educational institutions due to financial, safety, and ethical factors. Supplementary pedagogical tools, for instance, 3D models of anatomical specimens acquired with photogrammetry are an efficient alternative to democratize the 3D anatomical data. The aim of this study was to describe a technical guideline for acquiring realistic 3D anatomic models with photogrammetry and to improve the teaching and learning process in neuroanatomy. Seven specimens with different sizes, cadaveric tissues, and textures were used to demonstrate the step‐by‐step instructions for specimen preparation, photogrammetry setup, post‐processing, and display of the 3D model. The photogrammetry scanning consists of three cameras arranged vertically facing the specimen to be scanned. In order to optimize the scanning process and the acquisition of optimal images, high‐quality 3D models require complex and challenging adjustments in the positioning of the specimens within the scanner, as well as adjustments of the turntable, custom specimen holders, cameras, lighting, computer hardware, and its software. MeshLab® software was used for editing the 3D model before exporting it to MedReality® (Thyng, Chicago, IL) and SketchFab® (Epic, Cary, NC) platforms. Both allow manipulation of the models using various angles and magnifications and are easily accessed using mobile, immersive, and personal computer devices free of charge for viewers. Photogrammetry scans offer a 360° view of the 3D models ubiquitously accessible on any device independent of operating system and should be considered as a tool to optimize and democratize the teaching of neuroanatomy.
Development and validation of a recursive partitioning analysis–based pretreatment decision‐making tool identifying ideal candidates for spine stereotactic body radiation therapy
Kowalchuk, Roman O. , Mullikin, Trey C. , Florez, Marcus A. , De, Brian , Spears, Grant M. , Rose, Peter S. , Kim, Dong Kun , Costello, Brian A. , Marion, Joseph , Johnson‐Tesch, Benjamin A., Gao, Robert W. , Shiraishi, Satomi , Lucido, J. John , Olivier, Kenneth R. , Owen, Dawn , Stish, Bradley J. , Waddle, Mark R. , Brown, Paul D. , Ghia, Amol J. , Merrell, Kenneth W. , Marion, Joseph T , Johnson-Tesch, Benjamin A, Lucido, John J , Trifiletti, Daniel M , Waddle, Mark R , Brown, Paul D , Merrell, Kenneth W , Kowalchuk, Roman O. , Shiraishi, Satomi , Siontis, Brittany L. , Morris, Jonathan M. , Trifiletti, Daniel M. , Laack, Nadia N. , Park, Sean S.

Cancer | December 26, 2022 | Volume: 129 | Issue: 6 | Pages: 956-965

10.1002/cncr.34626 Get It

AbstractBackgroundThis study was aimed at developing and validating a decision‐making tool predictive of overall survival (OS) for patients receiving stereotactic body radiation therapy (SBRT) for spinal metastases.MethodsThree hundred sixty‐one patients at one institution were used for the training set, and 182 at a second institution were used for external validation. Treatments most commonly involved one or three fractions of spine SBRT. Exclusion criteria included proton therapy and benign histologies.ResultsThe final model consisted of the following variables and scores: Spinal Instability Neoplastic Score (SINS) ≥ 6 (1), time from primary diagnosis < 21 months (1), Eastern Cooperative Oncology Group (ECOG) performance status = 1 (1) or ECOG performance status > 1 (2), and >1 organ system involved (1). Each variable was an independent predictor of OS (p < .001), and each 1‐point increase in the score was associated with a hazard ratio of 2.01 (95% confidence interval [CI], 1.79–2.25; p < .0001). The concordance value was 0.75 (95% CI, 0.71–0.78). The scores were discretized into three groups—favorable (score = 0–1), intermediate (score = 2), and poor survival (score = 3–5)—with 2‐year OS rates of 84% (95% CI, 79%–90%), 46% (95% CI, 36%–59%), and 21% (95% CI, 14%–32%), respectively (p < .0001 for each). In the external validation set (182 patients), the score was also predictive of OS (p < .0001). Increasing SINS<zaq;6> was predictive of decreased OS as a continuous variable (p < .0001).ConclusionsThis novel score is proposed as a decision‐making tool to help to optimize patient selection for spine SBRT. SINS may be an independent predictor of OS.
Point of Care Virtual Surgical Planning and 3D Printing in Facial Feminization Surgery
Sharaf, Basel , Bite, Uldis, Sharaf, Basel A , Kuruoglu, Doga , Morris, Jonathan M.

Seminars in Plastic Surgery | December 7, 2022 | Volume: 36 | Issue: 03 | Pages: 164-168

10.1055/s-0042-1754388 Get It

AbstractThe use of virtual surgical planning (VSP) and three-dimensional printing (3DP) technologies in the routine facial feminization surgery practice has gained a significant popularity over the past few years. The clinical applications of them are claimed to improve safety, accuracy, and efficiency of facial feminization surgeries. In this article, we review and discuss the current applications of VSP and 3DP in different facial feminization procedures.
Virtual Planning and 3D Printing in the Management of Acute Orbital Fractures and Post-Traumatic Deformities
Sharaf, Basel , Leon, Daniel E. Sotelo, Wagner, Lilly H. , Salinas, Cristina A., Leon, Daniel E, Wagner, Lilly, Sharaf, Basel A , Morris, Jonathan M.

Seminars in Plastic Surgery | December 7, 2022 | Volume: 36 | Issue: 03 | Pages: 149-157

10.1055/s-0042-1754387 Get It

Abstract Virtual surgical planning (VSP) and three-dimensional (3D) printing have advanced surgical reconstruction of orbital defects. Individualized 3D models of patients' orbital bony and soft tissues provide the surgeon with corrected orbital volume based on normalized anatomy, precise location of critical structures, and when needed a better visualization of the defect or altered anatomy that are paramount in preoperative planning. The use of 3D models preoperatively allows surgeons to improve the accuracy and safety of reconstruction, reduces intraoperative time, and most importantly lowers the rate of common postoperative complications, including over- or undercontouring of plates, orbital implant malposition, enophthalmos, and hypoglobus. As 3D printers and materials become more accessible and cheaper, the utility of printing patient-specific implants becomes more feasible. This article summarizes the traditional surgical management of orbital fractures and reviews advances in VSP and 3D printing in this field. It also discusses the use of in-house (point-of-care) VSP and 3D printing to further advance care of acute orbital trauma and posttraumatic deformities.
Establishing a Point-of-Care Virtual Planning and 3D Printing Program
Sears, Victoria A. , Morris, Jonathan M.

Seminars in Plastic Surgery | December 7, 2022 | Volume: 36 | Issue: 03 | Pages: 133-148

10.1055/s-0042-1754351 Get It

Abstract Virtual surgical planning (VSP) and three-dimensional (3D) printing have become a standard of care at our institution, transforming the surgical care of complex patients. Patient-specific, anatomic models and surgical guides are clinically used to improve multidisciplinary communication, presurgical planning, intraoperative guidance, and the patient informed consent. Recent innovations have allowed both VSP and 3D printing to become more accessible to various sized hospital systems. Insourcing such work has several advantages including quicker turnaround times and increased innovation through collaborative multidisciplinary teams. Centralizing 3D printing programs at the point-of-care provides a greater cost-efficient investment for institutions. The following article will detail capital equipment needs, institutional structure, operational personnel, and other considerations necessary in the establishment of a POC manufacturing program.
Anatomical Modeling at the Point of Care
Sears, Victoria A. , Morris, Jonathan M.

Additive Manufacturing in Biomedical Applications | October 26, 2022 | Volume: No volume available | Issue: No issue available | Pages: 390-401

10.31399/asm.hb.v23a.a0006896 Get It

Abstract Bridging the gap between education and medical practice, centralized hospital-based 3D printing, or what is termed point-of-care (POC) manufacturing, has been rapidly growing in the United States as well as internationally. This article provides insights into the considerations and the current workflow of creating 3D-printed anatomical models at the POC. Case studies are introduced to show the complex range of anatomical models that can be produced while also exploring how patient care benefits. It describes the advanced form of communication in medicine. The advantages as well as pitfalls of using the patient-specific 3D-printed models at the POC are addressed, demonstrating the fundamental knowledge needed to create 3D-printed anatomical models through POC manufacturing.
A Radiologist’s Guide to the 2021 WHO Central Nervous System Tumor Classification: Part I—Key Concepts and the Spectrum of Diffuse Gliomas
Johnson, Derek R. , Giannini, Caterina , Vaubel, Rachael A. , Eckel, Laurence J. , Kaufmann, Timothy J. , Guérin, J. , Eckel, Laurence J , Kaufmann, Timothy J , Guerin, Julie B , Vaubel, Rachael A , Giannini, Caterina , Johnson, Derek R , Morris, Jonathan M.

Radiology | July 26, 2022 | Volume: 304 | Issue: 3 | Pages: 494-508

10.1148/radiol.213063 Get It