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Demidov VV, Clark MA, Streeter SS, Sottosanti JS, Gitajn IL, Elliott JT. High-energy open-fracture model with initial experience of fluorescence-guided bone perfusion assessment. J Orthop Res 2023; 41:1040-1048. [PMID: 36192829 PMCID: PMC10067537 DOI: 10.1002/jor.25443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/12/2022] [Indexed: 02/04/2023]
Abstract
High-energy orthopedic injuries cause severe damage to soft tissues and are prone to infection and healing complications, making them a challenge to manage. Further research is facilitated by a clinically relevant animal model with commensurate fracture severity and soft-tissue damage, allowing evaluation of novel treatment options and techniques. Here we report a reproducible, robust, and clinically relevant animal model of high-energy trauma with extensive soft-tissue damage, based on compressed air-driven membrane rupture as the blast wave source. As proof-of-principle showing the reproducibility of the injury, we evaluate changes in tissue and bone perfusion for a range of different tibia fracture severities, using dynamic contrast-enhanced fluorescence imaging and microcomputed tomography. We demonstrate that fluorescence tracer temporal profiles for skin, femoral vein, fractured bone, and paw reflect the increasing impact of more powerful blasts causing a range of Gustilo grade I-III injuries. The maximum fluorescence intensity of distal tibial bone following 0.1 mg/kg intravenous indocyanine green injection decreased by 35% (p < 0.01), 75% (p < 0.001), and 87% (p < 0.001), following grade I, II, and III injuries, respectively, compared to uninjured bone. Other kinetic parameters of bone and soft tissue perfusion extracted from series of fluorescence images for each animal also showed an association with severity of trauma. In addition, the time-intensity profile of fluorescence showed marked differences in wash-in and wash-out patterns for different injury severities and anatomical locations. This reliable and realistic high-energy trauma model opens new research avenues to better understand infection and treatment strategies. Level of evidence: Level III; Case-control.
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Affiliation(s)
- Valentin V. Demidov
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Centre, Lebanon, NH
- Geisel School of Medicine, Dartmouth College, Hanover, NH
| | - Megan A. Clark
- Thayer School of Engineering, Dartmouth College, Hanover, NH
| | | | | | - I. Leah Gitajn
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Centre, Lebanon, NH
| | - Jonathan Thomas Elliott
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Centre, Lebanon, NH
- Geisel School of Medicine, Dartmouth College, Hanover, NH
- Thayer School of Engineering, Dartmouth College, Hanover, NH
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Tang Y, Gitajn IL, Cao X, Han X, Elliott JT, Yu X, Bateman LM, Malskis BS, Fisher LA, Sin JM, Henderson ER, Pogue BW, Jiang S. Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2023; 12361:1236104. [PMID: 37034556 PMCID: PMC10078951 DOI: 10.1117/12.2650028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Indocyanine green (ICG)-based dynamic contrast-enhanced fluorescence imaging (DCE-FI) can objectively assess bone perfusion intraoperatively. However, it is susceptible to motion artifacts due to patient's involuntary respiration during the 4.5-minute DCE-FI data acquisition. An automated motion correction approach based on mutual information (MI) frameby-frame was developed to overcome this problem. In this approach, MIs were calculated between the reference and the adjacent frame translated and the maximal MI corresponded to the optimal translation. The images obtained from eighteen amputation cases were utilized to validate the approach and the results show that this correction can significantly reduce the motion artifacts and can improve the accuracy of bone perfusion assessment.
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Affiliation(s)
- Yue Tang
- Thayer school of Engineering, Dartmouth College, Hanover, NH, USA 03755
| | - I Leah Gitajn
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Xu Cao
- Thayer school of Engineering, Dartmouth College, Hanover, NH, USA 03755
| | - Xinyue Han
- Thayer school of Engineering, Dartmouth College, Hanover, NH, USA 03755
| | - Jonathan T Elliott
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Xiaohan Yu
- Thayer school of Engineering, Dartmouth College, Hanover, NH, USA 03755
| | - Logan M Bateman
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Bethany S Malskis
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Lillian A Fisher
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Jessica M Sin
- Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Eric R Henderson
- Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA 03756
| | - Brian W Pogue
- Thayer school of Engineering, Dartmouth College, Hanover, NH, USA 03755
| | - Shudong Jiang
- Thayer school of Engineering, Dartmouth College, Hanover, NH, USA 03755
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