-
Je něco špatně v tomto záznamu ?
Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression
Z. Chen, M. Pazdernik, H. Zhang, A. Wahle, Z. Guo, H. Bedanova, J. Kautzner, V. Melenovsky, T. Kovarnik, M. Sonka,
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
R01 EB004640
NIBIB NIH HHS - United States
NV16-28525A
MZ0
CEP - Centrální evidence projektů
NV16-28525A
MZ0
CEP - Centrální evidence projektů
- MeSH
- alografty MeSH
- časové faktory MeSH
- koronární cévy patologie MeSH
- lidé MeSH
- optická koherentní tomografie MeSH
- transplantace srdce * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
Cardiac allograft vasculopathy (CAV) accounts for about 30% of all heart-transplant (HTx) patient deaths. For patients at high risk for CAV complications after HTx, therapy must be initiated early to be effective. Therefore, new phenotyping approaches are needed to identify such HTx patients at the earliest possible time. Coronary optical coherence tomography (OCT) images were acquired from 50 HTx patients 1 and 12 months after HTx. Quantitative analysis of coronary wall morphology used LOGISMOS segmentation strategy to simultaneously identify three wall-layer surfaces for the entire pullback length in 3D: luminal, outer intimal, and outer medial surfaces. To quantify changes of coronary wall morphology between 1 and 12 months after HTx, the two pullbacks were mutually co-registered. Validation of layer thickness measurements showed high accuracy of performed layer analyses with layer thickness measures correlating well with manually-defined independent standard (Rautomated2 = 0.93, y=1.0x-6.2μm), average intimal+medial thickness errors were 4.98 ± 31.24 μm, comparable with inter-observer variability. Quantitative indices of coronary wall morphology 1 month and 12 months after HTx showed significant local as well as regional changes associated with CAV progression. Some of the newly available fully-3D baseline indices (intimal layer brightness, medial layer brightness, medial thickness, and intimal+medial thickness) were associated with CAV-related progression of intimal thickness showing promise of identifying patients subjected to rapid intimal thickening at 12 months after HTx from OCT-image data obtained just 1 month after HTx. Our approach allows quantification of location-specific alterations of coronary wall morphology over time and is sensitive even to very small changes of wall layer thicknesses that occur in patients following heart transplant.
Institute of Clinical and Experimental Medicine Prague Czech Republic
Iowa Institute for Biomedical Imaging The University of Iowa Iowa City IA 52242 USA
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19045223
- 003
- CZ-PrNML
- 005
- 20220222100915.0
- 007
- ta
- 008
- 200109s2018 ne f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.media.2018.09.003 $2 doi
- 035 __
- $a (PubMed)30253306
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ne
- 100 1_
- $a Chen, Zhi $u Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, USA.
- 245 10
- $a Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression / $c Z. Chen, M. Pazdernik, H. Zhang, A. Wahle, Z. Guo, H. Bedanova, J. Kautzner, V. Melenovsky, T. Kovarnik, M. Sonka,
- 520 9_
- $a Cardiac allograft vasculopathy (CAV) accounts for about 30% of all heart-transplant (HTx) patient deaths. For patients at high risk for CAV complications after HTx, therapy must be initiated early to be effective. Therefore, new phenotyping approaches are needed to identify such HTx patients at the earliest possible time. Coronary optical coherence tomography (OCT) images were acquired from 50 HTx patients 1 and 12 months after HTx. Quantitative analysis of coronary wall morphology used LOGISMOS segmentation strategy to simultaneously identify three wall-layer surfaces for the entire pullback length in 3D: luminal, outer intimal, and outer medial surfaces. To quantify changes of coronary wall morphology between 1 and 12 months after HTx, the two pullbacks were mutually co-registered. Validation of layer thickness measurements showed high accuracy of performed layer analyses with layer thickness measures correlating well with manually-defined independent standard (Rautomated2 = 0.93, y=1.0x-6.2μm), average intimal+medial thickness errors were 4.98 ± 31.24 μm, comparable with inter-observer variability. Quantitative indices of coronary wall morphology 1 month and 12 months after HTx showed significant local as well as regional changes associated with CAV progression. Some of the newly available fully-3D baseline indices (intimal layer brightness, medial layer brightness, medial thickness, and intimal+medial thickness) were associated with CAV-related progression of intimal thickness showing promise of identifying patients subjected to rapid intimal thickening at 12 months after HTx from OCT-image data obtained just 1 month after HTx. Our approach allows quantification of location-specific alterations of coronary wall morphology over time and is sensitive even to very small changes of wall layer thicknesses that occur in patients following heart transplant.
- 650 _2
- $a alografty $7 D064591
- 650 _2
- $a koronární cévy $x patologie $7 D003331
- 650 12
- $a transplantace srdce $7 D016027
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a časové faktory $7 D013997
- 650 _2
- $a optická koherentní tomografie $7 D041623
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a Research Support, N.I.H., Extramural $7 D052061
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Pazderník, Michal, $u Institute of Clinical and Experimental Medicine (IKEM) in Prague, Czech Republic. $7 xx0269763
- 700 1_
- $a Zhang, Honghai $u Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, USA.
- 700 1_
- $a Wahle, Andreas $u Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, USA.
- 700 1_
- $a Guo, Zhihui $u Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, USA.
- 700 1_
- $a Bedanova, Helena $u Cardiovascular and Transplantation Surgery Center, Department of Cardiovascular Diseases, St. Annes University Hospital and Masaryk University Brno, Czech Republic.
- 700 1_
- $a Kautzner, Josef $u Institute of Clinical and Experimental Medicine (IKEM) in Prague, Czech Republic.
- 700 1_
- $a Melenovsky, Vojtech $u Institute of Clinical and Experimental Medicine (IKEM) in Prague, Czech Republic.
- 700 1_
- $a Kovarnik, Tomas $u 2nd Department of Medicine - Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University in Prague & General University Hospital in Prague, Czech Republic.
- 700 1_
- $a Sonka, Milan $u Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, USA. Electronic address: milan-sonka@uiowa.edu.
- 773 0_
- $w MED00007107 $t Medical image analysis $x 1361-8423 $g Roč. 50, č. - (2018), s. 95-105
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30253306 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20200109 $b ABA008
- 991 __
- $a 20220222100911 $b ABA008
- 999 __
- $a ok $b bmc $g 1483492 $s 1083896
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 50 $c - $d 95-105 $e 20180914 $i 1361-8423 $m Medical image analysis $n Med Image Anal $x MED00007107
- GRA __
- $a R01 EB004640 $p NIBIB NIH HHS $2 United States
- GRA __
- $a NV16-27465A $a NV16-28525A $p MZ0 $p MZ0
- GRA __
- $a NV16-27465A $a NV16-28525A $p MZ0 $p MZ0
- LZP __
- $a Pubmed-20200109