PMID- 30518387
OWN - NLM
STAT- MEDLINE
DCOM- 20190325
LR  - 20190325
IS  - 1475-925X (Electronic)
IS  - 1475-925X (Linking)
VI  - 17
IP  - 1
DP  - 2018 Dec 5
TI  - Uniqueness of local myocardial strain patterns with respect to activation time 
      and contractility of the failing heart: a computational study.
PG  - 182
LID - 10.1186/s12938-018-0614-1 [doi]
LID - 182
AB  - BACKGROUND: Myocardial deformation measured by strain is used to detect 
      electro-mechanical abnormalities in cardiac tissue. Estimation of myocardial 
      properties from regional strain patterns when multiple pathologies are present is 
      therefore a promising application of computer modelling. However, if different 
      tissue properties lead to indistinguishable strain patterns ('degeneracy'), the 
      applicability of any such method will be limited. We investigated whether 
      estimation of local activation time (AT) and contractility from myocardial strain 
      patterns is theoretically possible. METHODS: For four different global cardiac 
      pathologies local myocardial strain patterns for 1025 combinations of AT and 
      contractility were simulated with a computational model (CircAdapt). For each 
      strain pattern, a cohort of similar patterns was found within estimated 
      measurement error using the sum of least-squared differences. Cohort members came 
      from (1) the same pathology only, and (2) all four pathologies. Uncertainty was 
      calculated as accuracy and precision of cohort members in parameter space. 
      Connectedness within the cohorts was also studied. RESULTS: We found that cohorts 
      drawn from one pathology had parameters with adjacent values although their 
      distribution was neither constant nor symmetrical. In comparison cohorts drawn 
      from four pathologies had disconnected components with drastically different 
      parameter values and accuracy and precision values up to three times higher. 
      CONCLUSIONS: Global pathology must be known when extracting AT and contractility 
      from strain patterns, otherwise degeneracy occurs causing unacceptable 
      uncertainty in derived parameters.
FAU - Kirn, Borut
AU  - Kirn B
AUID- ORCID: 0000-0002-9085-2308
AD  - Department of Physiology, Medical Faculty, University of Ljubljana, Zaloska 4, 
      1000, Ljubljana, Slovenia. borut.kirn@mf.uni-lj.si.
FAU - Walmsley, John
AU  - Walmsley J
AD  - Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, 
      Maastricht University Medical Center, Maastricht, The Netherlands.
FAU - Lumens, Joost
AU  - Lumens J
AD  - Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, 
      Maastricht University Medical Center, Maastricht, The Netherlands.
LA  - eng
GR  - P3-0019/Javna Agencija za Raziskovalno Dejavnost RS/
GR  - 2015T082/Hartstichting/
PT  - Journal Article
DEP - 20181205
PL  - England
TA  - Biomed Eng Online
JT  - Biomedical engineering online
JID - 101147518
SB  - IM
MH  - Biomechanical Phenomena
MH  - Heart Failure/*pathology/*physiopathology
MH  - *Models, Cardiovascular
MH  - *Myocardial Contraction
MH  - Myocardium/*pathology
MH  - *Stress, Mechanical
MH  - Uncertainty
PMC - PMC6280493
OTO - NOTNLM
OT  - Activation time
OT  - Cardiac strain
OT  - Computer simulation
OT  - Contractility
OT  - Reverse engineering
OT  - System degeneration
EDAT- 2018/12/07 06:00
MHDA- 2019/03/26 06:00
PMCR- 2018/12/05
CRDT- 2018/12/07 06:00
PHST- 2018/05/26 00:00 [received]
PHST- 2018/11/27 00:00 [accepted]
PHST- 2018/12/07 06:00 [entrez]
PHST- 2018/12/07 06:00 [pubmed]
PHST- 2019/03/26 06:00 [medline]
PHST- 2018/12/05 00:00 [pmc-release]
AID - 10.1186/s12938-018-0614-1 [pii]
AID - 614 [pii]
AID - 10.1186/s12938-018-0614-1 [doi]
PST - epublish
SO  - Biomed Eng Online. 2018 Dec 5;17(1):182. doi: 10.1186/s12938-018-0614-1.