PMID- 29389013
OWN - NLM
STAT- MEDLINE
DCOM- 20180827
LR  - 20180827
IS  - 2473-4209 (Electronic)
IS  - 0094-2405 (Linking)
VI  - 45
IP  - 4
DP  - 2018 Apr
TI  - Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable 
      segments in patients with chronic myocardial infarction.
PG  - 1471-1480
LID - 10.1002/mp.12783 [doi]
AB  - PURPOSE: To investigate the ability of texture analysis to differentiate between 
      infarcted nonviable, viable, and remote segments on cardiac cine magnetic 
      resonance imaging (MRI). METHODS: This retrospective study included 50 patients 
      suffering chronic myocardial infarction. The data were randomly split into 
      training (30 patients) and testing (20 patients) sets. The left ventricular 
      myocardium was segmented according to the 17-segment model in both cine and late 
      gadolinium enhancement (LGE) MRI. Infarcted myocardium regions were identified on 
      LGE in short-axis views. Nonviable segments were identified as those showing LGE 
      >/= 50%, and viable segments those showing 0 < LGE < 50% transmural extension. 
      Features derived from five texture analysis methods were extracted from the 
      segments on cine images. A support vector machine (SVM) classifier was trained 
      with different combination of texture features to obtain a model that provided 
      optimal classification performance. RESULTS: The best classification on testing 
      set was achieved with local binary patterns features using a 2D + t approach, in 
      which the features are computed by including information of the time dimension 
      available in cine sequences. The best overall area under the receiver operating 
      characteristic curve (AUC) were: 0.849, sensitivity of 92% to detect nonviable 
      segments, 72% to detect viable segments, and 85% to detect remote segments. 
      CONCLUSION: Nonviable segments can be detected on cine MRI using texture analysis 
      and this may be used as hypothesis for future research aiming to detect the 
      infarcted myocardium by means of a gadolinium-free approach.
CI  - (c) 2018 American Association of Physicists in Medicine.
FAU - Larroza, Andres
AU  - Larroza A
AD  - Department of Medicine, Universitat de Valencia, Avda. Blasco Ibanez 15, 46010, 
      Valencia, Spain.
FAU - Lopez-Lereu, Maria P
AU  - Lopez-Lereu MP
AD  - Unidad de Imagen Cardiaca, ERESA, Marques de San Juan 6, 46015, Valencia, Spain.
FAU - Monmeneu, Jose V
AU  - Monmeneu JV
AD  - Unidad de Imagen Cardiaca, ERESA, Marques de San Juan 6, 46015, Valencia, Spain.
FAU - Gavara, Jose
AU  - Gavara J
AD  - Cardiology Department, Hospital Clinico Universitario, Universitat de Valencia, 
      INCLIVA, Avda. Blasco Ibanez 17, 46010, Valencia, Spain.
FAU - Chorro, Francisco J
AU  - Chorro FJ
AD  - Cardiology Department, Hospital Clinico Universitario, Universitat de Valencia, 
      INCLIVA, Avda. Blasco Ibanez 17, 46010, Valencia, Spain.
FAU - Bodi, Vicente
AU  - Bodi V
AD  - Cardiology Department, Hospital Clinico Universitario, Universitat de Valencia, 
      INCLIVA, Avda. Blasco Ibanez 17, 46010, Valencia, Spain.
FAU - Moratal, David
AU  - Moratal D
AD  - Center for Biomaterials and Tissue Engineering, Universitat Politecnica de 
      Valencia, Cami de Vera, s/n. 46022, Valencia, Spain.
LA  - eng
PT  - Journal Article
DEP - 20180222
PL  - United States
TA  - Med Phys
JT  - Medical physics
JID - 0425746
SB  - IM
MH  - Chronic Disease
MH  - Female
MH  - Heart/*diagnostic imaging
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - *Magnetic Resonance Imaging, Cine
MH  - Male
MH  - Middle Aged
MH  - Myocardial Infarction/*diagnostic imaging/*pathology
MH  - Retrospective Studies
MH  - *Tissue Survival
OTO - NOTNLM
OT  - classification
OT  - diagnosis
OT  - heart
OT  - machine learning
OT  - magnetic resonance imaging
EDAT- 2018/02/02 06:00
MHDA- 2018/08/28 06:00
CRDT- 2018/02/02 06:00
PHST- 2017/06/28 00:00 [received]
PHST- 2017/12/26 00:00 [revised]
PHST- 2018/01/14 00:00 [accepted]
PHST- 2018/02/02 06:00 [pubmed]
PHST- 2018/08/28 06:00 [medline]
PHST- 2018/02/02 06:00 [entrez]
AID - 10.1002/mp.12783 [doi]
PST - ppublish
SO  - Med Phys. 2018 Apr;45(4):1471-1480. doi: 10.1002/mp.12783. Epub 2018 Feb 22.