PMID- 32362023
OWN - NLM
STAT- MEDLINE
DCOM- 20210623
LR  - 20210623
IS  - 1540-8175 (Electronic)
IS  - 0742-2822 (Print)
IS  - 0742-2822 (Linking)
VI  - 37
IP  - 5
DP  - 2020 May
TI  - Development of an algorithm for automatic classification of right ventricle 
      deformation patterns in arrhythmogenic right ventricular cardiomyopathy.
PG  - 698-705
LID - 10.1111/echo.14671 [doi]
AB  - BACKGROUND: Different disease stages of arrhythmogenic right ventricular 
      cardiomyopathy (ARVC) can be identified by right ventricle (RV) longitudinal 
      deformation (strain) patterns. This requires assessment of the onset of 
      shortening, (systolic) peak strain, and postsystolic index, which is 
      time-consuming and prone to inter- and intra-observer variability. The aim of 
      this study was to design and validate an algorithm to automatically classify RV 
      deformation patterns. METHODS: We developed an algorithm based on specific local 
      characteristics from the strain curves to detect the parameters required for 
      classification. Determination of the onset of shortening by the algorithm was 
      compared to manual determination by an experienced operator in a dataset 
      containing 186 RV strain curves from 26 subjects carrying a pathogenic 
      plakophilin-2 (PKP2) mutation and 36 healthy subjects. Classification agreement 
      between operator and algorithm was solely based on differences in onset 
      shortening, as the remaining parameters required for classification of RV 
      deformation patterns could be directly obtained from the strain curves. RESULTS: 
      The median difference between the onset of shortening determined by the 
      experienced operator and by the automatic detector was 5.3 ms [inter-quartile 
      range (IQR) 2.7-8.6 ms]. 96% of the differences were within 1 time frame. Both 
      methods correlated significantly with rho = 0.97 (P < .001). For 26 PKP2 mutation 
      carriers, there was 100% agreement in classification between the algorithm and 
      experienced operator. CONCLUSION: The determination of the onset of shortening by 
      the experienced operator was comparable to the algorithm. Our computer algorithm 
      seems a promising method for the automatic classification of RV deformation 
      patterns. The algorithm is publicly available at the MathWorks File Exchange.
CI  - (c) 2020 The Authors. Echocardiography published by Wiley Periodicals LLC.
FAU - Groen, Marijn H A
AU  - Groen MHA
AUID- ORCID: 0000-0002-9900-6044
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
FAU - Bosman, Laurens P
AU  - Bosman LP
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
AD  - Netherlands Heart Institute, Utrecht, The Netherlands.
FAU - Teske, Arco J
AU  - Teske AJ
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
FAU - Mast, Thomas P
AU  - Mast TP
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
AD  - Department of Cardiology, Catharina Hospital Eindhoven, Eindhoven, The 
      Netherlands.
FAU - Taha, Karim
AU  - Taha K
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
AD  - Netherlands Heart Institute, Utrecht, The Netherlands.
FAU - Van Slochteren, Frebus J
AU  - Van Slochteren FJ
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
FAU - Cramer, Maarten J
AU  - Cramer MJ
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
FAU - Doevendans, Pieter A
AU  - Doevendans PA
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
AD  - Netherlands Heart Institute, Utrecht, The Netherlands.
FAU - van Es, Rene
AU  - van Es R
AUID- ORCID: 0000-0001-9950-4388
AD  - Division of Heart and Lungs, Department of Cardiology, University Medical Center 
      Utrecht, University of Utrecht, Utrecht, The Netherlands.
LA  - eng
PT  - Journal Article
DEP - 20200503
PL  - United States
TA  - Echocardiography
JT  - Echocardiography (Mount Kisco, N.Y.)
JID - 8511187
SB  - IM
MH  - Algorithms
MH  - *Arrhythmogenic Right Ventricular Dysplasia/diagnostic imaging/genetics
MH  - Heart Ventricles/diagnostic imaging
MH  - Humans
MH  - Mutation
PMC - PMC7317368
OTO - NOTNLM
OT  - arrhythmogenic right ventricular cardiomyopathy
OT  - classification
OT  - computer algorithm
OT  - strain
COIS- None.
EDAT- 2020/05/04 06:00
MHDA- 2021/06/24 06:00
PMCR- 2020/06/26
CRDT- 2020/05/04 06:00
PHST- 2020/01/30 00:00 [received]
PHST- 2020/03/24 00:00 [revised]
PHST- 2020/04/08 00:00 [accepted]
PHST- 2020/05/04 06:00 [pubmed]
PHST- 2021/06/24 06:00 [medline]
PHST- 2020/05/04 06:00 [entrez]
PHST- 2020/06/26 00:00 [pmc-release]
AID - ECHO14671 [pii]
AID - 10.1111/echo.14671 [doi]
PST - ppublish
SO  - Echocardiography. 2020 May;37(5):698-705. doi: 10.1111/echo.14671. Epub 2020 May 
      3.