-
Something wrong with this record ?
Software-based Detection of Acute Rejection Changes in Face Transplant
MI. Dorante, B. Kollar, M. Bittner, A. Wang, Y. Diehm, S. Foroutanjazi, N. Parikh, V. Haug, TM. den Uyl, B. Pomahac
Language English Country United States
Document type Journal Article
Grant support
United States Department of Defense under their Reconstructive Transplant Research Program
W81XWH-18-1-0702
- Publication type
- Journal Article MeSH
BACKGROUND: An objective, non-invasive method for redness detection during acute allograft rejection in face transplantation (FT) is lacking. METHODS: A retrospective cohort study was performed with 688 images of 7 patients with face transplant (range, 1 to 108 months post-transplant). Healthy controls were matched to donor age, sex, and had no prior facial procedures. Rejection state was confirmed via tissue biopsy. An image-analysis software developed alongside VicarVision (Amsterdam, Netherlands) was used to produce R, a measure of differences between detectable color and absolute red. R is inversely proportional to redness, where lower R values correspond to increased redness. Linear mixed models were used to study fixed effect of rejection state on R values. Estimated marginal means of fitted models were calculated for pairwise comparisons. RESULTS: Of 688 images, 175, 170, 202, and 141 images were attributable to Banff Grade 0,1,2, and 3, respectively. Estimated change in R value of facial allografts decreased with increasing Banff Grade (p = 0.0001). The mean R value of clinical rejection (Banff Grade ⅔) (16.67, 95% Confidence Interval [CI] 14.79-18.58) was lower (p = 0.005) than non-rejection (Banff Grade 0/1) (19.38, 95%CI 17.43-21.33). Both clinical and non-rejection mean R values were lower (p = 0.0001) than healthy controls (24.12, 95%CI 20.96-27.28). CONCLUSION: This proof-of-concept study demonstrates that software-based analysis can detect and monitor acute rejection changes in FT. Future studies should expand on this tool's potential application in telehealth and as a screening tool for allograft rejection.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22000888
- 003
- CZ-PrNML
- 005
- 20220106132546.0
- 007
- ta
- 008
- 220106s2021 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1055/s-0041-1733995 $2 doi
- 035 __
- $a (PubMed)34470059
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Dorante, Miguel I $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts $u Department of Surgery, Division of Plastic and Reconstructive Surgery, Lahey Hospital and Medical Center; Burlington, Massachusetts
- 245 10
- $a Software-based Detection of Acute Rejection Changes in Face Transplant / $c MI. Dorante, B. Kollar, M. Bittner, A. Wang, Y. Diehm, S. Foroutanjazi, N. Parikh, V. Haug, TM. den Uyl, B. Pomahac
- 520 9_
- $a BACKGROUND: An objective, non-invasive method for redness detection during acute allograft rejection in face transplantation (FT) is lacking. METHODS: A retrospective cohort study was performed with 688 images of 7 patients with face transplant (range, 1 to 108 months post-transplant). Healthy controls were matched to donor age, sex, and had no prior facial procedures. Rejection state was confirmed via tissue biopsy. An image-analysis software developed alongside VicarVision (Amsterdam, Netherlands) was used to produce R, a measure of differences between detectable color and absolute red. R is inversely proportional to redness, where lower R values correspond to increased redness. Linear mixed models were used to study fixed effect of rejection state on R values. Estimated marginal means of fitted models were calculated for pairwise comparisons. RESULTS: Of 688 images, 175, 170, 202, and 141 images were attributable to Banff Grade 0,1,2, and 3, respectively. Estimated change in R value of facial allografts decreased with increasing Banff Grade (p = 0.0001). The mean R value of clinical rejection (Banff Grade ⅔) (16.67, 95% Confidence Interval [CI] 14.79-18.58) was lower (p = 0.005) than non-rejection (Banff Grade 0/1) (19.38, 95%CI 17.43-21.33). Both clinical and non-rejection mean R values were lower (p = 0.0001) than healthy controls (24.12, 95%CI 20.96-27.28). CONCLUSION: This proof-of-concept study demonstrates that software-based analysis can detect and monitor acute rejection changes in FT. Future studies should expand on this tool's potential application in telehealth and as a screening tool for allograft rejection.
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Kollar, Branislav $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts $u Department of Plastic and Hand Surgery, University of Freiburg Medical Center, Medical Faculty of the University of Freiburg; Freiburg, Germany
- 700 1_
- $a Bittner, Marian $u VicarVision, Amsterdam, The Netherlands
- 700 1_
- $a Wang, Alice $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts
- 700 1_
- $a Diehm, Yannick $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts $u Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Trauma Center, BG Trauma Center Ludwigshafen, University of Heidelberg; Ludwigshafen, Germany
- 700 1_
- $a Foroutanjazi, Sina $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts
- 700 1_
- $a Parikh, Neil $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts
- 700 1_
- $a Haug, Valentin $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts $u Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Trauma Center, BG Trauma Center Ludwigshafen, University of Heidelberg; Ludwigshafen, Germany
- 700 1_
- $a den Uyl, Tim M $u VicarVision, Amsterdam, The Netherlands
- 700 1_
- $a Pomahač, Bohdan, $u Department of Surgery, Division of Plastic Surgery, Brigham and Women's Hospital, Harvard Medical School; Boston, Massachusetts $u Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale New Haven Hospital, Yale School of Medicine; New Haven, Connecticut, USA $d 1971- $7 xx0117402
- 773 0_
- $w MED00186363 $t Journal of reconstructive microsurgery $x 1098-8947 $g č. - (2021)
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/34470059 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20220106 $b ABA008
- 991 __
- $a 20220106132543 $b ABA008
- 999 __
- $a ind $b bmc $g 1743223 $s 1152034
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $c - $e 20210901 $i 1098-8947 $m Journal of reconstructive microsurgery $n J Reconstr Microsurg $x MED00186363
- GRA __
- $a United States Department of Defense under their Reconstructive Transplant Research Program $p W81XWH-18-1-0702
- LZP __
- $a Pubmed-20220106
