Quantitative 3D Analysis of Coronary Wall Morphology in Heart
Transplant Patients: OCT-Assessed Cardiac Allograft
Vasculopathy Progression

J 2018

Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression

CHEN, Zhi, Michal PAZDERNIK, Honghai ZHANG, Andreas WAHLE, Zhihui GUO et. al.

Základní údaje

Originální název

Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression

Autoři

CHEN, Zhi (840 Spojené státy), Michal PAZDERNIK (840 Spojené státy), Honghai ZHANG (840 Spojené státy), Andreas WAHLE (840 Spojené státy), Zhihui GUO (840 Spojené státy), Helena BEDÁŇOVÁ (203 Česká republika, domácí), Josef KAUTZNER (203 Česká republika), Vojtech MELENOVSKY (203 Česká republika), Tomas KOVARNIK (203 Česká republika) a Milan SONKA (840 Spojené státy, garant)

Vydání

Medical Image Analysis, AMSTERDAM, ELSEVIER SCIENCE BV, 2018, 1361-8415

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 8.880

Kód RIV

RIV/00216224:14110/18:00105793

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1016/j.media.2018.09.003

UT WoS

000449896900007

Klíčová slova anglicky

Cardiac allograft vasculopathy (CAV); optical coherence tomography (OCT); LOGISMOS; CAV progression; CAV prediction

Štítky

14110115, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 10. 2. 2019 18:25, Soňa Böhmová

Anotace

V originále

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 (R-automated(2) = 0.93, y = 1.0x - 6.2 mu m), average intimal+medial thickness errors were 4.98 +/- 31.24 mu m, 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 FITx from OCTimage 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.

Citovat

CHEN, Zhi, Michal PAZDERNIK, Honghai ZHANG, Andreas WAHLE, Zhihui GUO, Helena BEDÁŇOVÁ, Josef KAUTZNER, Vojtech MELENOVSKY, Tomas KOVARNIK a Milan SONKA. Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression. Medical Image Analysis. AMSTERDAM: ELSEVIER SCIENCE BV, 2018, roč. 50, DEC 2018, s. 95-105. ISSN 1361-8415. Dostupné z: https://dx.doi.org/10.1016/j.media.2018.09.003.

@article{1489163,
   author = {Chen, Zhi and Pazdernik, Michal and Zhang, Honghai and Wahle, Andreas and Guo, Zhihui and Bedáňová, Helena and Kautzner, Josef and Melenovsky, Vojtech and Kovarnik, Tomas and Sonka, Milan},
   article_location = {AMSTERDAM},
   article_number = {DEC 2018},
   doi = {http://dx.doi.org/10.1016/j.media.2018.09.003},
   keywords = {Cardiac allograft vasculopathy (CAV); optical coherence tomography (OCT); LOGISMOS; CAV progression; CAV prediction},
   language = {eng},
   issn = {1361-8415},
   journal = {Medical Image Analysis},
   title = {Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression},
   volume = {50},
   year = {2018}
}

TY  - JOUR
ID  - 1489163
AU  - Chen, Zhi - Pazdernik, Michal - Zhang, Honghai - Wahle, Andreas - Guo, Zhihui - Bedáňová, Helena - Kautzner, Josef - Melenovsky, Vojtech - Kovarnik, Tomas - Sonka, Milan
PY  - 2018
TI  - Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression
JF  - Medical Image Analysis
VL  - 50
IS  - DEC 2018
SP  - 95-105
EP  - 95-105
PB  - ELSEVIER SCIENCE BV
SN  - 13618415
KW  - Cardiac allograft vasculopathy (CAV)
KW  - optical coherence tomography (OCT)
KW  - LOGISMOS
KW  - CAV progression
KW  - CAV prediction
N2  - 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 (R-automated(2) = 0.93, y = 1.0x - 6.2 mu m), average intimal+medial thickness errors were 4.98 +/- 31.24 mu m, 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 FITx from OCTimage 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.
ER  -

CHEN, Zhi, Michal PAZDERNIK, Honghai ZHANG, Andreas WAHLE, Zhihui GUO, Helena BEDÁŇOVÁ, Josef KAUTZNER, Vojtech MELENOVSKY, Tomas KOVARNIK a Milan SONKA. Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression. \textit{Medical Image Analysis}. AMSTERDAM: ELSEVIER SCIENCE BV, 2018, roč.~50, DEC 2018, s.~95-105. ISSN~1361-8415. Dostupné z: https://dx.doi.org/10.1016/j.media.2018.09.003.

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