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Gong AT, Yau SWO, Erickson HB, Toepfer RJ, Zhang J, Deschmidt AM, Parsey CJ, Norfleet JE, Sweet RM. Characterizing the Suture Pullout Force for Human Small Bowel. J Biomech Eng 2024; 146:014502. [PMID: 37916891 DOI: 10.1115/1.4063951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/25/2023] [Indexed: 11/03/2023]
Abstract
Performing a small bowel anastomosis, or reconnecting small bowel segments, remains a core competency and critical step for the successful surgical management of numerous bowel and urinary conditions. As surgical education and technology moves toward improving patient outcomes through automation and increasing training opportunities, a detailed characterization of the interventional biomechanical properties of the human bowel is important. This is especially true due to the prevalence of anastomotic leakage as a frequent (3.02%) postoperative complication of small bowel anastomoses. This study aims to characterize the forces required for a suture to tear through human small bowel (suture pullout force, SPOF), while analyzing how these forces are affected by tissue orientation, suture material, suture size, and donor demographics. 803 tests were performed on 35 human small bowel specimens. A uni-axial test frame was used to tension sutures looped through 10 × 20 mm rectangular bowel samples to tissue failure. The mean SPOF of the small bowel was 4.62±1.40 N. We found no significant effect of tissue orientation (p = 0.083), suture material (p = 0.681), suture size (p = 0.131), age (p = 0.158), sex (p = .083), or body mass index (BMI) (p = 0.100) on SPOF. To our knowledge, this is the first study reporting human small bowel SPOF. Little research has been published about procedure-specific data on human small bowel. Filling this gap in research will inform the design of more accurate human bowel synthetic models and provide an accurate baseline for training and clinical applications.
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Affiliation(s)
- Alex T Gong
- Department of Surgery, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences T293, Seattle, WA 98195-0000
| | - Shi-Wen Olivia Yau
- Department of Surgery, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Human Centered Design and Engineering, University of Washington, 3960 Benton Ln NE #428, Seattle, WA 98195-0000
| | - Hans B Erickson
- Department of Surgery, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Mechanical Engineering, University of Washington, 371 Loew Hall, Seattle, WA 98195-0000
| | - Rudolph J Toepfer
- Department of Surgery, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Materials Science and Engineering, University of Washington, 302 Roberts Hall, Seattle, WA 98195-2120
| | - Jessica Zhang
- Department of Surgery, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Biochemistry, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences J405, Seattle, WA 98195-0000
| | - Aleah M Deschmidt
- Benaroya Research Institute at Virginia Mason, 1201 Ninth Ave, Seattle, WA 98101
| | - Conner J Parsey
- Medical Simulation Research Branch Simulation and Training Technology Center, U.S. Army DEVCOM Soldier Center, 12423 Research Parkway, Orlando, FL 32826
| | - Jack E Norfleet
- Medical Simulation Research Branch Simulation and Training Technology Center, U.S. Army DEVCOM Soldier Center, 12423 Research Parkway, Orlando, FL 32826
| | - Robert M Sweet
- Department of Surgery, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Urology, University of Washington, 1959 NE Pacific Ave, Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA 98195-0000
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DeSchmidt AM, Gong AT, Batista JE, Song AY, Bidinger SL, Schul AL, Wang EY, Norfleet JE, Sweet RM. Characterization of Puncture Forces of the Human Trachea and Cricothyroid Membrane. J Biomech Eng 2022; 144:1140296. [PMID: 35445243 DOI: 10.1115/1.4054380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Indexed: 12/12/2022]
Abstract
Accurate human tissue biomechanical data represents a critical knowledge gap that will help facilitate the advancement of new medical devices, patient-specific predictive models, and training simulators. Tissues related to the human airway are a top priority, as airway medical procedures are common and critical. Placement of a surgical airway, though less common, is often done in an emergent (cricothyrotomy) or urgent (tracheotomy) fashion. This study is the first to report relevant puncture force data for the human cricothyroid membrane and tracheal annular ligaments. Puncture forces of the cricothyroid membrane and tracheal annular ligaments were collected from 39 and 42 excised human donor tracheas, respectively, with a mechanized load frame holding various surgical tools. The average puncture force of the cricothyroid membrane using an 11 blade scalpel was 1.01 ± 0.36 N, and the average puncture force of the tracheal annular ligaments using a 16 gauge needle was 0.98 ± 0.34 N. This data can be used to inform medical device and airway training simulator development as puncture data of these anatomies has not been previously reported.
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Affiliation(s)
- Aleah M DeSchmidt
- Department of Surgery, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Bioengineering, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000
| | - Alex T Gong
- Department of Surgery, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000
| | | | - Agnes Y Song
- Department of Surgery, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Bioengineering, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000
| | - Sophia L Bidinger
- Electrical Engineering Division, University of Cambridge, 9 JJ Thomson Avenue, Cambridge CB3 0FA, UK
| | - Alyssa L Schul
- Philips Healthcare, 22100 Bothell Everett Hwy, Bothell, WA 98021
| | - Everet Y Wang
- Department of Surgery, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000
| | - Jack E Norfleet
- Medical Simulation Research Branch Simulation and Training Technology Center, U.S. Army CCDC Soldier Center, 12423 Research Parkway, Orlando, FL 32826
| | - Robert M Sweet
- Department of Surgery, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000; Department of Urology, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000;Department of Bioengineering, University of Washington, 1959 NE Pacific Ave Magnuson Health Sciences T293, Seattle, WA 98195-0000
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El-Monajjed K, Driscoll M. Analysis of Surgical Forces Required to Gain Access Using a Probe for Minimally Invasive Spine Surgery via Cadaveric-Based Experiments Towards Use in Training Simulators. IEEE Trans Biomed Eng 2020; 68:330-339. [PMID: 32746011 DOI: 10.1109/tbme.2020.2996980] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Virtual Reality haptic-based surgical simulators for training purposes have recently been receiving increased traction within the medical field. However, its future adoption is contingent on the accuracy and reliability of the haptic feedback. GOAL This study describes and analyzes the implementation of a set of haptic-tailored experiments to extract the force feedback of a medical probe used in minimally invasive spinal lumbar interbody fusion surgeries. METHODS Experiments to extract linear, lateral and rotational insertion, relaxation and extraction of the tool within the spinal muscles, intervertebral discs and lumbar nerve on two cadaveric torsos were conducted. RESULTS Notably, mean force-displacement and torque-angular displacement curves describing the different tool-tissue responses were reported with a maximum force of 6.87 (±1.79) N at 40 mm in the muscle and an initial rupture force through the Annulus Fibrosis of 20.550 (±7.841) N at 6.441 mm in the L4/L5 disc. CONCLUSION The analysis showed that increasing the velocity of the probe slightly reduced and delayed depth of the muscle punctures but significantly lowered the force reduction due to relaxation. Decreasing probe depth resulted with a reduction to the force relaxation drop. However, varying the puncturing angle of attack resulted with a significant effect on increasing force intensities. Finally, not resecting the thoracolumbar fascia prior to puncturing the muscle resulted with a significant increase in the force intensities. SIGNIFICANCE These results present a complete characterization of the input required for probe access for spinal surgeries to provide an accurate haptic response in training simulators.
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Mantica G, Leonardi R, Pini G, Esperto F, Proietti S, van Deventer H, Giusti G, Gaboardi F, van der Merwe A, Terrone C. The current use of human cadaveric models in urology: a systematic review. MINERVA UROL NEFROL 2020; 72:313-320. [DOI: 10.23736/s0393-2249.19.03558-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Ghazi A, Campbell T, Melnyk R, Feng C, Andrusco A, Stone J, Erturk E. Validation of a Full-Immersion Simulation Platform for Percutaneous Nephrolithotomy Using Three-Dimensional Printing Technology. J Endourol 2017; 31:1314-1320. [DOI: 10.1089/end.2017.0366] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Ahmed Ghazi
- Department of Urology, University of Rochester Medical Center, Rochester, New York
| | - Timothy Campbell
- School of Medicine and Dentistry University of Rochester Medical Center, Rochester, New York
| | - Rachel Melnyk
- Department of Urology, University of Rochester Medical Center, Rochester, New York
| | - Changyong Feng
- Department of Biostatistics & Computational Biology, University of Rochester, Rochester, New York
| | - Alex Andrusco
- Urology Department, Hospital Sotero del Rio and Hospital DIPRECA, Santiago, Chile
| | - Jonathan Stone
- Department of Neurosurgery, University of Rochester Medical Center, Rochester, New York
| | - Erdal Erturk
- Department of Urology, University of Rochester Medical Center, Rochester, New York
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Abstract
BACKGROUND The challenges of training and assessing endourologic skill have driven the development of new training systems. The Center for Research in Education and Simulation Technologies (CREST) has developed a team and a methodology to facilitate this development process. METHODS Backwards design principles were applied. A panel of experts first defined desired clinical and educational outcomes. Outcomes were subsequently linked to learning objectives. Gross task deconstruction was performed, and the primary domain was classified as primarily involving decision-making, psychomotor skill, or communication. A more detailed cognitive task analysis was performed to elicit and prioritize relevant anatomy/tissues, metrics, and errors. Reference anatomy was created using a digital anatomist and clinician working off of a clinical data set. Three dimensional printing can facilitate this process. When possible, synthetic or virtual tissue behavior and textures were recreated using data derived from human tissue. Embedded sensors/markers and/or computer-based systems were used to facilitate the collection of objective metrics. A learning Verification and validation occurred throughout the engineering development process. RESULTS Nine endourology-relevant training systems were created by CREST with this approach. Systems include basic laparoscopic skills (BLUS), vesicourethral anastomosis, pyeloplasty, cystoscopic procedures, stent placement, rigid and flexible ureteroscopy, GreenLight PVP (GL Sim), Percutaneous access with C-arm (CAT), Nephrolithotomy (NLM), and a vascular injury model. Mixed modalities have been used, including "smart" physical models, virtual reality, augmented reality, and video. Substantial validity evidence for training and assessment has been collected on systems. An open source manikin-based modular platform is under development by CREST with the Department of Defense that will unify these and other commercial task trainers through the common physiology engine, learning management system, standard data connectors, and standards. CONCLUSION Using the CREST process has and will ensure that the systems we create meet the needs of training and assessing endourologic skills.
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Affiliation(s)
- Robert M Sweet
- 1 Department of Urology, Kidney Stone Center, University of Washington , Seattle, Washington.,2 WWAMI Institute for Simulation in Healthcare (WISH), University of Washington , Seattle, Washington
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