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Ning Y, Hu J, Zhu Y, Tang W, Yan S, Li H, Zhang Z, Lu C, Ren K, Shi P, Yao T, Wang Q, Zhao Y, Gao T, Zhang R, Dong H. NIR-II imaging-based detection of early changes in lower limb perfusion in type 2 diabetes patients without peripheral artery disease. Diabetes Res Clin Pract 2025; 221:112038. [PMID: 39929338 DOI: 10.1016/j.diabres.2025.112038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 01/20/2025] [Accepted: 02/03/2025] [Indexed: 02/14/2025]
Abstract
AIMS The formation of lower limb arterial plaques, exacerbated by type 2 diabetes (T2D), represents an early stage of lower limb peripheral artery disease (PAD). Second near-infrared region (NIR-II) imaging is an emerging technique with high sensitivity for detecting perfusion levels. This study explores the value of NIR-II imaging in identifying perfusion changes due to lower extremity arterial plaques in T2D patients without PAD. METHODS NIR-II imaging with indocyanine green (ICG) was conducted on 120 T2D patients, who were categorized into two groups: plaque and non-plaque. NIR-II parameters and clinical characteristics were analyzed between the two groups to identify significant predictors of lower extremity arterial plaques. RESULTS Six NIR-II imaging parameters (T start, T 1/2, Tmax, Ingress rate, Egress, and Egress rate) showed significant differences and diagnostic efficacy between the two groups. Three NIR-II parameters (T start, Egress, and Egress rate) and two clinical characteristics (age and sex) were identified as independent predictors of lower limb artery plaques. The nomogram showed that a combined model with NIR-II parameters and clinical characteristics exhibited higher diagnostic efficacy. CONCLUSION NIR-II imaging can effectively detect early perfusion changes in T2D patients, showing great potential for pre-diagnosis of individuals at high risk for PAD.
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Affiliation(s)
- Yijie Ning
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Jie Hu
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Yikun Zhu
- Department of Endocrinology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Wei Tang
- Department of Endocrinology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Sheng Yan
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Haifeng Li
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Zeyu Zhang
- Key Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, China
| | - Chuanlong Lu
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Keyao Ren
- Department of Endocrinology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Peilu Shi
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Tian Yao
- First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qian Wang
- Department of Neurology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Yan Zhao
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Tingting Gao
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China
| | - Ruijing Zhang
- Vascular Institute of Shanxi Medical University, Taiyuan, China.; Department of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
| | - Honglin Dong
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China; Vascular Institute of Shanxi Medical University, Taiyuan, China..
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Tange FP, Peul RC, van den Hoven P, Koning S, Kruiswijk MW, Faber RA, Verduijn PS, van Rijswijk CSP, Galema HA, Hilling DE, van Dijk SPJ, van Ginhoven TM, Keereweer S, Mureau MAM, Feitsma EA, Noltes ME, Kruijff S, Driessen C, Achiam MP, Schepers A, van Schaik J, Mieog JSD, Vahrmeijer AL, Hamming JF, van der Vorst JR. Establishing reference curves for vital tissue perfusion using quantitative near-infrared fluorescence imaging with indocyanine green. Langenbecks Arch Surg 2025; 410:28. [PMID: 39777554 PMCID: PMC11706885 DOI: 10.1007/s00423-024-03589-1] [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: 10/13/2024] [Accepted: 12/19/2024] [Indexed: 01/11/2025]
Abstract
PURPOSE Assessment of tissue perfusion using near-infrared fluorescence (NIR) with indocyanine green (ICG) is gaining popularity, however reliable and objective interpretation remains a challenge. Therefore, this study aimed to establish reference curves for vital tissue perfusion across target tissues using this imaging modality. METHODS Data from five prospective study cohorts conducted in three Dutch academic medical centres between December 2018 and June 2023 was included. Quantitative analysis using time-intensity curves was performed in ten target tissues, including the colon, ileum, gastric conduit, deep inferior epigastric artery perforator (DIEP) flap, skin of the foot, trachea, sternocleidomastoid muscle (SCM), carotid artery, parathyroid gland, and skin of the neck. RESULTS A total of 178 patients were included in this study, representing 303 target tissues. Three different patterns of reference curves were identified based on a subjective assessment. Seven out of ten tissues showed a reference curve with rapid inflow (median time-to-max (tmax): 13.0-17.8 s, median maximum-normalized-slope (slope norm): 10.6-12.6%/sec), short outflow (median area-under-the-curve of tmax + 60 s (AUC60): 65.0-85.1%) followed by a gradual/absent outflow. Secondly, the DIEP flap and SCM tissue showed a reference curve with longer inflow (median tmax: 24.0, 22.0 s, median slope norm: 9.3, 9.7%/sec respectively) and reduced outflow (median AUC60: 89.1, 89.0% respectively). Thirdly, the skin of the foot showed slow inflow (median tmax 141.1 s, median norm slope 2.1%/sec) without outflow. CONCLUSION This study demonstrates reference curves for vital tissue perfusion of multiple target tissues identified with ICG NIR fluorescence imaging, providing a critical step towards the clinical implementation of this technique.
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Affiliation(s)
- Floris P Tange
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Roderick C Peul
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Pim van den Hoven
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Stefan Koning
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Mo W Kruiswijk
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Robin A Faber
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Pieter S Verduijn
- Department of Plastic and Reconstructive Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - Carla S P van Rijswijk
- Department of Interventional Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Hidde A Galema
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Denise E Hilling
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Sam P J van Dijk
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Tessa M van Ginhoven
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Stijn Keereweer
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Marc A M Mureau
- Department of Plastic and Reconstructive Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eline A Feitsma
- Department of Surgery, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Milou E Noltes
- Department of Surgery, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Schelto Kruijff
- Department of Surgery, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Caroline Driessen
- Department of Plastic and Reconstructive Surgery, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Michael P Achiam
- Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
| | - Abbey Schepers
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Jan van Schaik
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - J Sven D Mieog
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Alexander L Vahrmeijer
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Jaap F Hamming
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Joost R van der Vorst
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
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Ning Y, Hu J, Li H, Lu C, Zhang Z, Yan S, Shi P, Gao T, Wang H, Zhang R, Dong H. Case Report: The application of novel imaging technologies in lower extremity peripheral artery disease: NIR-II imaging, OCTA, and LSFG. Front Cardiovasc Med 2024; 11:1460708. [PMID: 39359643 PMCID: PMC11444973 DOI: 10.3389/fcvm.2024.1460708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 08/27/2024] [Indexed: 10/04/2024] Open
Abstract
Lower extremity peripheral artery disease (PAD) is a growing global health problem. New methods to diagnose PAD have been explored in recent years. At present, the majority of imaging methods for PAD focus on the macrovascular blood flow, and the exploration of microcirculation and tissue perfusion of PAD remains largely insufficient. In this report, we applied three new imaging technologies, i.e., second near-infrared region (NIR-II, 900-1,880 nm wavelengths) imaging, optical coherence tomography angiography (OCTA), and laser speckle flowgraphy (LSFG), in a PAD patient with a healthy human subject as control. Our results showed that the PAD patient had poorer tissue perfusion than the control without observed adverse effects. Moreover, compared with the first near-infrared region (NIR-I, 700-900 nm wavelengths) imaging results, NIR-II imaging had a higher signal-to-background ratio and resolution than NIR-I imaging and detected microvessels that were not detected by NIR-I imaging. These observations suggested that NIR-II imaging, OCTA, and LSFG are potentially safe and effective methods for diagnosing PAD.
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Affiliation(s)
- Yijie Ning
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Jie Hu
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Haifeng Li
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Chuanlong Lu
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Zeyu Zhang
- Key Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, China
| | - Sheng Yan
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Peilu Shi
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Tingting Gao
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Heng Wang
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
- Centre for Transplant and Renal Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia
| | - Ruijing Zhang
- Department of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Honglin Dong
- Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
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Galema HA, Faber RA, Tange FP, Hilling DE, van der Vorst JR, Hartgrink HH, Vahrmeijer AL, Hutteman M, Mieog JSD, Lagarde SM, van der Sluis PC, Wijnhoven BP, Verhoef C, Burggraaf J, Keereweer S. A quantitative assessment of perfusion of the gastric conduit after oesophagectomy using near-infrared fluorescence with indocyanine green. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:990-995. [PMID: 36914531 DOI: 10.1016/j.ejso.2023.02.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 01/20/2023] [Accepted: 02/26/2023] [Indexed: 03/06/2023]
Abstract
INTRODUCTION Anastomotic leakage is a severe complication after oesophageal resection with gastric conduit reconstruction. Poor perfusion of the gastric conduit plays an important role in the development of anastomotic leakage. Quantitative near-infrared (NIR) fluorescence angiography with indocyanine green (ICG-FA) is an objective technique that can be used for perfusion assessment. This study aims to assess perfusion patterns of the gastric conduit with quantitative ICG-FA. METHODS In this exploratory study, 20 patients undergoing oesophagectomy with gastric conduit reconstruction were included. A standardized NIR ICG-FA video of the gastric conduit was recorded. Postoperatively, the videos were quantified. Primary outcomes were the time-intensity curves and nine perfusion parameters from contiguous regions of interest on the gastric conduit. A secondary outcome was the inter-observer agreement of subjective interpretation of the ICG-FA videos between six surgeons. The inter-observer agreement was tested with an intraclass correlation coefficient (ICC). RESULTS In a total of 427 curves, three distinct perfusion patterns were recognized: pattern 1 (steep inflow, steep outflow); pattern 2 (steep inflow, minor outflow); and pattern 3 (slow inflow, no outflow). All perfusion parameters were significantly different between the perfusion patterns. The inter-observer agreement was poor - moderate (ICC:0.345,95%CI:0.164-0.584). DISCUSSION This was the first study to describe perfusion patterns of the complete gastric conduit after oesophagectomy. Three distinct perfusion patterns were observed. The poor inter-observer agreement of the subjective assessment underlines the need for quantification of ICG-FA of the gastric conduit. Further studies should evaluate the predictive value of perfusion patterns and parameters on anastomotic leakage.
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Affiliation(s)
- Hidde A Galema
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands; Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Robin A Faber
- Department of Surgery, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - Floris P Tange
- Department of Surgery, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - Denise E Hilling
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Doctor Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands; Department of Surgery, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - Joost R van der Vorst
- Department of Surgery, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
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Van Den Hoven P, Osterkamp J, Nerup N, Svendsen MBS, Vahrmeijer A, Van Der Vorst JR, Achiam MP. Quantitative perfusion assessment using indocyanine green during surgery - current applications and recommendations for future use. Langenbecks Arch Surg 2023; 408:67. [PMID: 36700999 PMCID: PMC9879827 DOI: 10.1007/s00423-023-02780-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/12/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE Incorrect assessment of tissue perfusion carries a significant risk of complications in surgery. The use of near-infrared (NIR) fluorescence imaging with Indocyanine Green (ICG) presents a possible solution. However, only through quantification of the fluorescence signal can an objective and reproducible evaluation of tissue perfusion be obtained. This narrative review aims to provide an overview of the available quantification methods for perfusion assessment using ICG NIR fluorescence imaging and to present an overview of current clinically utilized software implementations. METHODS PubMed was searched for clinical studies on the quantification of ICG NIR fluorescence imaging to assess tissue perfusion. Data on the utilized camera systems and performed methods of quantification were collected. RESULTS Eleven software programs for quantifying tissue perfusion using ICG NIR fluorescence imaging were identified. Five of the 11 programs have been described in three or more clinical studies, including Flow® 800, ROIs Software, IC Calc, SPY-Q™, and the Quest Research Framework®. In addition, applying normalization to fluorescence intensity analysis was described for two software programs. CONCLUSION Several systems or software solutions provide a quantification of ICG fluorescence; however, intraoperative applications are scarce and quantification methods vary abundantly. In the widespread search for reliable quantification of perfusion with ICG NIR fluorescence imaging, standardization of quantification methods and data acquisition is essential.
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Affiliation(s)
- P Van Den Hoven
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
| | - J Osterkamp
- Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
| | - N Nerup
- Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
| | - M B S Svendsen
- CAMES Engineering, Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark
| | - Alexander Vahrmeijer
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - J R Van Der Vorst
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - M P Achiam
- Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
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Tesauro M, Noce A. Vascular Function in Chronic Non-Communicable Diseases. Biomedicines 2022; 10:biomedicines10102520. [PMID: 36289782 PMCID: PMC9599169 DOI: 10.3390/biomedicines10102520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022] Open
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Michi M, Madu M, Winters HAH, de Bruin DM, van der Vorst JR, Driessen C. Near-Infrared Fluorescence with Indocyanine Green to Assess Bone Perfusion: A Systematic Review. Life (Basel) 2022; 12:life12020154. [PMID: 35207442 PMCID: PMC8875533 DOI: 10.3390/life12020154] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/16/2022] [Accepted: 01/18/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Adequate perfusion of a bone flap is essential for successful reconstruction of osseous defects. Unfortunately, complications related to inadequate bone perfusion are common. Near-infrared fluorescence (NIRF) imaging enables intraoperative visualization of perfusion. NIRF has been investigated in reconstructive surgery to aid the surgeon in clinical perioperative assessment of soft tissue perfusion. However, little is known on the beneficial use of NIRF to assess bone perfusion. Therefore, the aim of this review was to search for studies evaluating NIRF to assess bone perfusion. Methods: A systematic review, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, was performed. Studies up to October 2021 were included. We extracted data regarding the study population, size and design, reported objective fluorescence parameters and the methodology used for fluorescence imaging and processing. Results: Ten articles were included. Studies reported unevenly on the protocol used for NIRF imaging. Five studies reported objective parameters. Absolute and relative perfusion parameters and parameters derived from maximum fluorescence were reported. The clinical significance of these parameters has not been evaluated in humans. Conclusion: The evidence on bone perfusion as measured with NIRF is limited. More clinical studies are required.
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Affiliation(s)
- Marlies Michi
- Department of Surgery, Alrijne Hospital, Simon Smitweg 1, 2353 GA Leiderdorp, The Netherlands
- Correspondence:
| | - Max Madu
- Department of Plastic Surgery, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.M.); (H.A.H.W.); (C.D.)
| | - Henri A. H. Winters
- Department of Plastic Surgery, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.M.); (H.A.H.W.); (C.D.)
| | - Daniel M. de Bruin
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands;
- Department of Urology, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Joost R. van der Vorst
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands;
| | - Caroline Driessen
- Department of Plastic Surgery, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.M.); (H.A.H.W.); (C.D.)
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