Diagnostical accuracy of hyperspectral imaging after free flap surgery

Authors

  • Torsten Schulz Department of Orthopedic, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany
  • Rima Nuwayhid Department of Orthopedic, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany
  • Khosrow Siamak Houschyar Hautzentrum Köln, Cologne, Germany
  • Stefan Langer Department of Orthopedic, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany
  • Lukas Kohler Department of Orthopedic, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany; Division of Hand-, Plastic- and Aesthetic Surgery, University Hospital Munich, Munich, Germany

DOI:

https://doi.org/10.2340/jphs.v58.7140

Keywords:

Hyperspectral imaging, free flap, malperfusion, venous congestion

Abstract

Microsurgical free-tissue transfer has been a safe option for tissue reconstruction. This study aimed to analyze the diagnostic accuracy of hyperspectral imaging (HSI) after free-tissue transfer surgery. From January 2017 to October 2019, 42 consecutive free-flap surgeries were performed, and their outcomes were analyzed via HSI. Clinical examination of free-flap perfusion was initially performed. Clinical examination findings were subsequently compared with those of HSI. Potential venous congestion with subsequent necrosis was defined as a tissue hemoglobin index of ≥53%. Student’s t-test was used to compare the results of the analysis. The evaluation of sensitivity and specificity for flap failure detection was time dependent using the Fisher’s exact test. A p-value of ≤0.05 was considered statistically significant. Microsurgical tissue transfer success rate was 84%. Seven patients presented with venous congestion that caused total flap necrosis. Overall, 124 assessments were made. HSI accurately identified 12 out of 19 pathological images: four as false positive and seven as false negative. The sensitivity and specificity of HSI were 57 and 94%, respectively, compared to those of clinical examination that were 28 and 100%, respectively, within 24 h following tissue transfer. The sensitivity and specificity of HSI were 63 and 96%, respectively, compared to those of clinical examination that were 63 and 100%, respectively, within the first 72 h. A tissue hemoglobin index of ≥53% could predict venous congestion after free-flap surgery. HSI demonstrated higher sensitivity than clinical examination within the first 24 h; however, it was not superior compared to clinical findings within 72 h.

Downloads

Download data is not yet available.

References

Ludolph I, Lehnhardt M, Arkudas A, et al. Plastic reconstructive microsurgery in the elderly patient – consensus statement of the German Speaking Working Group for Microsurgery of the Peripheral Nerves and Vessels. Handchir Mikrochir Plast Chir. 2018;50(2):118–125. https://doi.org/10.1055/s-0043-115730 DOI: https://doi.org/10.1055/s-0043-115730

Zhang Y, Gazyakan E, Bigdeli AK, et al. Soft tissue free flap for reconstruction of upper extremities: a meta-analysis on outcome and safety. Microsurgery. 2019;39(5):463–475. https://doi.org/10.1002/micr.30460 DOI: https://doi.org/10.1002/micr.30460

Schmauss D, Beier JP, Eisenhardt SU, et al. The “safe” flap – preoperative perforator-mapping and intraoperative perfusion assessment to reduce flap-associated morbidity – consensus statement of the German Speaking Working Group for Microsurgery of the Peripheral Nerves and Vessels. Handchir Mikrochir Plast Chir. 2019;51(6):410–417. https://doi.org/10.1055/a-0987-0118 DOI: https://doi.org/10.1055/a-0987-0118

Wallner C, Kolbenschlag J, Daigeler A, et al. Perioperative management in microsurgery – consensus statement of the German-speaking Working Group for Microsurgery of the Peripheral Nerves and Vessels. Handchir Mikrochir Plast Chir. 2020;52(4):310–315. https://doi.org/10.1055/a-1205-1309 DOI: https://doi.org/10.1055/a-1205-1309

Yudovsky D, Nouvong A, Pilon L. Hyperspectral imaging in diabetic foot wound care. J Diabetes Sci Technol. 2010;4(5):1099–1113. https://doi.org/10.1177/193229681000400508 DOI: https://doi.org/10.1177/193229681000400508

Holmer A, Tetschke F, Marotz J, et al. Oxygenation and perfusion monitoring with a hyperspectral camera system for chemical based tissue analysis of skin and organs. Physiol Meas. 2016;37(11):2064–2078. https://doi.org/10.1088/0967-3334/37/11/2064 DOI: https://doi.org/10.1088/0967-3334/37/11/2064

Lindelauf A, Saelmans A, van Kuijk S, et al. Near-infrared spectroscopy (NIRS) versus hyperspectral imaging (HSI) to detect flap failure in reconstructive surgery: a systematic review. Life. 2022;12(1):65. https://doi.org/10.3390/life12010065 DOI: https://doi.org/10.3390/life12010065

Kohler L, Köhler H, Kohler S, et al. Hyperspectral Imaging (HSI) as a new diagnostic tool in free flap monitoring for soft tissue reconstruction: a proof of concept study. BMC Surg. 2021;21(1):222. https://doi.org/10.1186/s12893-021-01232-0 DOI: https://doi.org/10.1186/s12893-021-01232-0

Thiem D, Romer P, Blatt S, et al. New approach to the old challenge of free flap monitoring-hyperspectral imaging outperforms clinical assessment by earlier detection of perfusion failure. J Pers Med. 2021;11(11):1101. https://doi.org/10.3390/jpm11111101 DOI: https://doi.org/10.3390/jpm11111101

Schulz T, Leuschner S, Siemers F, et al. Assessing flap perfusion after free tissue transfer using hyperspectral imaging (HSI). Eur J Plast Surg. 2021;44(4):1–10. https://doi.org/10.1007/s00238-021-01784-7 DOI: https://doi.org/10.1007/s00238-021-01784-7

Duann JR, Jan CI, Ou-Yang M, et al. Separating spectral mixtures in hyperspectral image data using independent component analysis: validation with oral cancer tissue sections. J Biomed Opt. 2013;18(12):126005. https://doi.org/10.1117/1.JBO.18.12.126005 DOI: https://doi.org/10.1117/1.JBO.18.12.126005

Kubo T, Yano K, Hosokawa K. Management of flaps with compromised venous outflow in head and neck microsurgical reconstruction. Microsurgery. 2002;22(8):391–395. https://doi.org/10.1002/micr.10059 DOI: https://doi.org/10.1002/micr.10059

Smit JM, Acosta R, Zeebregts CJ, et al. Early reintervention of compromised free flaps improves success rate. Microsurgery. 2007;27(7):612–616. https://doi.org/10.1002/micr.20412 DOI: https://doi.org/10.1002/micr.20412

Kagaya Y, Miyamoto S. A systematic review of near-infrared spectroscopy in flap monitoring: current basic and clinical evidence and prospects. J Plast Reconstr Aesthet Surg. 2018;71(2):246–257. https://doi.org/10.1016/j.bjps.2017.10.020 DOI: https://doi.org/10.1016/j.bjps.2017.10.020

Rothenberger J, Amr A, Schaller HE, et al. Evaluation of a non-invasive monitoring method for free flap breast reconstruction using laser doppler flowmetrie and tissue spectrophotometry. Microsurgery. 2013;33(5):350–357. https://doi.org/10.1002/micr.22096 DOI: https://doi.org/10.1002/micr.22096

Irwin MS, Thorniley MS, Doré CJ, et al. Near infra-red spectroscopy: a non-invasive monitor of perfusion and oxygenation within the microcirculation of limbs and flaps. Br J Plast Surg. 1995;48(1):14–22. https://doi.org/10.1016/0007-1226(95)90024-1 DOI: https://doi.org/10.1016/0007-1226(95)90024-1

Lin SJ, Nguyen MD, Chen C, et al. Tissue oximetry monitoring in microsurgical breast reconstruction decreases flap loss and improves rate of flap salvage. Plast Reconstr Surg. 2011;127(3):1080–1085. https://doi.org/10.1097/PRS.0b013e31820436cb DOI: https://doi.org/10.1097/PRS.0b013e31820436cb

Koolen PGL, Vargas CR, Ho OA, et al. Does increased experience with tissue oximetry monitoring in microsurgical breast reconstruction lead to decreased flap loss? The learning effect. Plast Reconstr Surg. 2016;137(4):1093–1101. https://doi.org/10.1097/01.prs.0000481071.59025.82 DOI: https://doi.org/10.1097/01.prs.0000481071.59025.82

Saad N, Wang H, Karamanos E. Tissue oximetry readings accurately predict late complications in patients undergoing free flap breast reconstruction: exploring the optimal cut point value. J Reconstr Microsurg. 2020;36(7):534–540. https://doi.org/10.1055/s-0040-1710507 DOI: https://doi.org/10.1055/s-0040-1710507

Repez A, Oroszy D, Arnez ZM. Continuous postoperative monitoring of cutaneous free flaps using near infrared spectroscopy. J Plast Reconstr Aesthet Surg. 2008;61(1):71–77. https://doi.org/10.1016/j.bjps.2007.04.003 DOI: https://doi.org/10.1016/j.bjps.2007.04.003

Marotz J, Schulz T, Seider S, et al. 3D-perfusion analysis of burn wounds using hyperspectral ihyperspectral imaging. Burns. 2021;47(1):157–170. https://doi.org/10.1016/j.burns.2020.06.001 DOI: https://doi.org/10.1016/j.burns.2020.06.001

Newton E, Butskiy O, Shadgan B, et al. Outcomes of free flap reconstructions with near-infrared spectroscopy (NIRS) monitoring: a systematic review. Microsurgery. 2020;40(2):268–275. https://doi.org/10.1002/micr.30526 DOI: https://doi.org/10.1002/micr.30526

Kwasnicki RM, Noakes AJ, Banhidy N, et al. Quantifying the limitations of clinical and technology-based flap monitoring strategies using a systematic thematic analysis. Plast Reconstr Surg Glob Open. 2021;9(7):e3663. https://doi.org/10.1097/GOX.0000000000003663 DOI: https://doi.org/10.1097/GOX.0000000000003663

Thiem DGE, Frick RW, Goetze E, et al. Hyperspectral analysis for perioperative perfusion monitoring-a clinical feasibility study on free and pedicled flaps. Clin Oral Investig. 2021;25(3):933–945. https://doi.org/10.1007/s00784-020-03382-6 DOI: https://doi.org/10.1007/s00784-020-03382-6

Schulz T, Marotz J, Stukenberg A, et al. Hyperspectral imaging for postoperative flap monitoring of pedicled flaps. Handchir Mikrochir Plast Chir. 2020;52(4):316–324. https://doi.org/10.1055/a-1167-3089 DOI: https://doi.org/10.1055/a-1167-3089

Thiem DGE, Romer P, Gielisch M, et al. Hyperspectral imaging and artificial intelligence to detect oral malignancy – part 1 – automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network. Head Face Med. 2021;17(1):38. https://doi.org/10.1186/s13005-021-00292-0 DOI: https://doi.org/10.1186/s13005-021-00292-0

Urbanos G, Martin A, Vazquez G, et al. Supervised machine learning methods and hyperspectral imaging techniques jointly applied for brain cancer classification. Sensors (Basel). 2021;21(11):3827. https://doi.org/10.3390/s21113827 DOI: https://doi.org/10.3390/s21113827

Dremin V, Marcinkevics Z, Zherebtsov E, et al. Skin complications of diabetes mellitus revealed by polarized hyperspectral imaging and machine learning. IEEE Trans Med Imaging. 2021;40(4):1207–1216. https://doi.org/10.1109/TMI.2021.3049591 DOI: https://doi.org/10.1109/TMI.2021.3049591

Published

2023-08-24

How to Cite

Schulz, T., Nuwayhid, R., Houschyar, K. S., Langer, S., & Kohler, L. (2023). Diagnostical accuracy of hyperspectral imaging after free flap surgery. Journal of Plastic Surgery and Hand Surgery, 58, 48–55. https://doi.org/10.2340/jphs.v58.7140

Issue

Section

Original Research Articles