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Calulo Rivera Z, González-Seguel F, Horikawa-Strakovsky A, Granger C, Sarwal A, Dhar S, Ntoumenopoulos G, Chen J, Bumgardner VKC, Parry SM, Mayer KP, Wen Y. MyoVision-US: an Artificial Intelligence-Powered Software for Automated Analysis of Skeletal Muscle Ultrasonography. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.26.24306153. [PMID: 38746458 PMCID: PMC11092729 DOI: 10.1101/2024.04.26.24306153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Introduction/Aims Muscle ultrasound has high utility in clinical practice and research; however, the main challenges are the training and time required for manual analysis to achieve objective quantification of morphometry. This study aimed to develop and validate a software tool powered by artificial intelligence (AI) by measuring its consistency and predictability of expert manual analysis quantifying lower limb muscle ultrasound images across healthy, acute, and chronic illness subjects. Methods Quadriceps complex (QC [rectus femoris and vastus intermedius]) and tibialis anterior (TA) muscle ultrasound images of healthy, intensive care unit, and/or lung cancer subjects were captured with portable devices. Automated analyses of muscle morphometry were performed using a custom-built deep-learning model (MyoVision-US), while manual analyses were performed by experts. Consistency between manual and automated analyses was determined using intraclass correlation coefficients (ICC), while predictability of MyoVision -US was calculated using adjusted linear regression (adj.R 2 ). Results Manual analysis took approximately 24 hours to analyze all 180 images, while MyoVision - US took 247 seconds, saving roughly 99.8%. Consistency between the manual and automated analyses by ICC was good to excellent for all QC (ICC:0.85-0.99) and TA (ICC:0.93-0.99) measurements, even for critically ill (ICC:0.91-0.98) and lung cancer (ICC:0.85-0.99) images. The predictability of MyoVision-US was moderate to strong for QC (adj.R 2 :0.56-0.94) and TA parameters (adj.R 2 :0.81-0.97). Discussion The application of AI automating lower limb muscle ultrasound analyses showed excellent consistency and strong predictability compared with human analysis. Future work needs to explore AI-powered models for the evaluation of other skeletal muscle groups.
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Li Y, Chen J, Tang Y, Lin T, Song T. Effect of pretransplant sarcopenia on patient and graft outcomes in solid organ transplant recipients: A systematic review and meta-analysis. Asian J Surg 2024; 47:1723-1733. [PMID: 38169165 DOI: 10.1016/j.asjsur.2023.12.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/10/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
The relationship between sarcopenia and prognosis in solid organ transplantation recipients (SOTr) remains unverified. We aimed to quantify the prevalence of pretransplant sarcopenia and its effect on patient and graft survival in SOTr. We used PubMed, EMBASE, Cochrane Library and Web of Science to search relevant studies published in English (from inception to December 31, 2021). Prospective and retrospective cohort studies that reported the prevalence of sarcopenia before transplant or the association between sarcopenia and clinical outcomes in SOTr were included. Primary outcomes were the prevalence of sarcopenia and its impact on patient and graft survival. Secondary outcomes included perioperative complications, acute rejection, length of hospital stay, length of intensive care unit stay (ICU LOS) and early readmission. Thirty-nine studies involving 5792 patients were included. Pooled prevalence of sarcopenia amongst SOTr candidates was 40 % (95 % confidence interval [CI]: 34%-47 % and I2 = 97 %). Sarcopenia was associated with increased risk of death (hazard ratio [HR] = 1.87, 95 % CI: 1.46-2.41 and I2 = 60 %), poor graft survival (HR = 1.71, 95 % CI: 1.16-2.54 and I2 = 57 %) and increased liver graft loss (HR = 1.43, 95 % CI: 1.03-1.99 and I2 = 38 %). Patients with sarcopenia demonstrated increased incidence of perioperative complications (risk ratio [RR] = 1.34, 95 % CI: 1.17-1.53 and I2 = 40 %), long ICU LOS (mean difference = 2.31 days, 95 % CI: 0.58-4.04 and I2 = 97 %) and decreased risk of acute rejection (RR = 0.61, 95 % CI: 0.42-0.89 and I2 = 0 %). In Conclusion, sarcopenia is prevalent in SOTr candidates and associated with death and graft loss. Identifying sarcopenia before transplantation and intervening may improve long-term outcomes.
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Affiliation(s)
- Yue Li
- Department of Urology, West China Hospital, Sichuan University, Chengdu, 61004, China; Transplant Center, West China Hospital, Sichuan University, Chengdu, 61004, China
| | - Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 61004, China
| | - Yangming Tang
- Department of Urology, West China Hospital, Sichuan University, Chengdu, 61004, China; Transplant Center, West China Hospital, Sichuan University, Chengdu, 61004, China
| | - Tao Lin
- Department of Urology, West China Hospital, Sichuan University, Chengdu, 61004, China; Transplant Center, West China Hospital, Sichuan University, Chengdu, 61004, China
| | - Turun Song
- Department of Urology, West China Hospital, Sichuan University, Chengdu, 61004, China; Transplant Center, West China Hospital, Sichuan University, Chengdu, 61004, China.
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Do J, Lim H, Seo KC, Park S, Joo H, Lee J, Ko E, Lim J, Kim HC, Oh D, Hong SB, Kim W. Early Gait Function After Lung Transplantation in Patients With and Without Pretransplant Extracorporeal Membrane Oxygenation Support. Transplant Proc 2023; 55:616-622. [PMID: 37045704 DOI: 10.1016/j.transproceed.2023.02.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/19/2023] [Accepted: 02/19/2023] [Indexed: 04/14/2023]
Abstract
OBJECTIVE We aimed to investigate the recovery of gait function, muscle strength, and the achievement of an independent gait after lung transplantation (LT) in patients with and without pretransplant extracorporeal membrane oxygenation (ECMO) support. METHODS We retrospectively reviewed the medical records of 33 inpatients who underwent bilateral LT and received physical therapy. We assessed the Functional Ambulatory Category (FAC) and Manual Muscle Test (MMT) scores at baseline, 1 month, and 3 months of rehabilitation and the time it took to achieve a FAC score of 3 within 3 months of LT surgery in ECMO and non-ECMO patients. RESULTS The FAC and MMT scores were generally improved during the first 3 months after LT. The number of patients who achieved a FAC score of 3 at 3 months did not significantly differ between the ECMO and non-ECMO groups (P = .193). At 1 month, significantly fewer patients had reached a FAC of 3 in the ECMO group than in the non-ECMO group (P = .042). There were no significant differences in the FAC (P = .398) and MMT scores (P = .079) at 3 months between the 2 groups. CONCLUSIONS Both groups' gait function and muscle strength were continuously restored 3 months after LT. At 1 month, the gait function was assessed by the FAC score, and the rate to achieve a FAC of 3 was higher in the non-ECMO group than in the ECMO group, but at 3 months, the difference was not significant between the 2 groups.
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Affiliation(s)
- Junghwa Do
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hyojin Lim
- Department of Medical Intensive Care Unit, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Kyung Cheon Seo
- Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Suyoung Park
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - HyeRin Joo
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Junghoon Lee
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Eunjae Ko
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Jaehwal Lim
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Ho Cheol Kim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Dongkyu Oh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sang-Bum Hong
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
| | - Won Kim
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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Courtwright AM, Devarajan J, Fritz AV, Martin AK, Wilkey B, Subramani S, Cassara CM, Tawil JN, Miltiades AN, Boisen ML, Bottiger BA, Pollak A, Gelzinis TA. Cardiothoracic Transplant Anesthesia: Selected Highlights: Part I-Lung Transplantation. J Cardiothorac Vasc Anesth 2023; 37:884-903. [PMID: 36868904 DOI: 10.1053/j.jvca.2023.01.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 01/30/2023]
Affiliation(s)
| | | | - Ashley Virginia Fritz
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic, Jacksonville, FL
| | | | - Barbara Wilkey
- Department of Anesthesiology, University of Colorado, Aurora, CO
| | - Sudhakar Subramani
- Department of Anesthesiology, University of Iowa Hospitals & Clinics, Iowa City, IA
| | - Christopher M Cassara
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Justin N Tawil
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Andrea N Miltiades
- Department of Anesthesiology, Columbia University Medical Center, New York, NY
| | - Michael L Boisen
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Brandi A Bottiger
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Angela Pollak
- Department of Anesthesiology, Duke University, Durham, NC
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Relationship of Exercise Capacity, Physical Function, and Frailty Measures With Clinical Outcomes and Healthcare Utilization in Lung Transplantation: A Scoping Review. Transplant Direct 2022; 8:e1385. [PMID: 36246000 PMCID: PMC9553387 DOI: 10.1097/txd.0000000000001385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 08/10/2022] [Indexed: 12/02/2022] Open
Abstract
Measures of exercise capacity, frailty, and physical function are commonly used in lung transplant candidates and recipients to evaluate their physical limitations and the effects of exercise training and to select candidates for transplantation. It is unclear how these measures are related to clinical outcomes and healthcare utilization before and after lung transplantation. The purpose of this scoping review was to describe how measures of exercise capacity, physical function, and frailty are related to pre- and posttransplant outcomes.
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Courtwright AM, Wilkey B, Devarajan J, Subramani S, Martin AK, Fritz AV, Cassara CM, Boisen ML, Bottiger BA, Pollak A, Maisonave Y, Gelzinis TA. The Year in Cardiothoracic Transplant Anesthesia: Selected Highlights From 2020 Part I - Lung Transplantation. J Cardiothorac Vasc Anesth 2021; 36:33-44. [PMID: 34670721 DOI: 10.1053/j.jvca.2021.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/08/2021] [Accepted: 09/10/2021] [Indexed: 11/11/2022]
Abstract
This special article focuses on the highlights in cardiothoracic transplantation literature in the year 2020. Part I encompasses the recent literature on lung transplantation, including the advances in preoperative assessment and optimization, donor management, including the use of ex-vivo lung perfusion, recipient management, including those who have been infected with coronavirus disease 2019, updates on the perioperative management, including the use of extracorporeal membrane oxygenation, and long-term outcomes.
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Affiliation(s)
| | - Barbara Wilkey
- Department of Anesthesiology, University of Colorado, Boulder, CO
| | | | - Sudhakar Subramani
- Department of Anesthesiology, University of Iowa Hospitals & Clinics, Iowa City, IA
| | - Archer Kilbourne Martin
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic Florida, Jacksonville, FL
| | - Ashley Virginia Fritz
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic Florida, Jacksonville, FL
| | - Christopher M Cassara
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Michael L Boisen
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Angela Pollak
- Department of Anesthesiology, Duke University, Durham, NC
| | | | - Theresa A Gelzinis
- University of Pittsburgh, Corresponding Author, UPMC Presbyterian Hospital, Pittsburgh, PA.
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APTA Cross Sections and Academies Recommendations for COVID-19 Core Outcome Measures. JOURNAL OF ACUTE CARE PHYSICAL THERAPY 2021; 13:62-76. [PMID: 35340890 PMCID: PMC8939471 DOI: 10.1097/jat.0000000000000172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/29/2021] [Indexed: 12/03/2022]
Abstract
The novel coronavirus (COVID-19) emerged as a major health concern within the United States in early 2020. Because this is a novel virus, little guidance exists for best practice to evaluate this population within the field of physical therapy.
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