Radiomic analysis of native T1 mapping images discriminates between MYH7 and MYBPC3-related hypertrophic cardiomyopathy

Jie Wang; Fuyao Yang; Wentao Liu; Jiayu Sun; Yuchi Han; Dong Li; Georgios V Gkoutos; Yanjie Zhu; Yucheng Chen

doi:10.1002/jmri.27209

Radiomic analysis of native T1 mapping images discriminates between MYH7 and MYBPC3-related hypertrophic cardiomyopathy

Jie Wang, Fuyao Yang, Wentao Liu, Jiayu Sun, Yuchi Han, Dong Li, Georgios V Gkoutos, Yanjie Zhu, Yucheng Chen

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

218 Downloads (Pure)

Abstract

BACKGROUND: The phenotype via conventional cardiac MRI analysis of MYH7 (β-myosin heavy chain)- and MYBPC3 (β-myosin-binding protein C)-associated hypertrophic cardiomyopathy (HCM) groups is similar. Few studies exist on the genotypic-phenotypic association as assessed by machine learning in HCM patients.

PURPOSE: To explore the phenotypic differences based on radiomics analysis of T₁ mapping images between MYH7 and MYBPC3-associated HCM subgroups.

STUDY TYPE: Prospective observational study.

SUBJECTS: In all, 102 HCM patients with pathogenic, or likely pathogenic mutation, in MYH7 (n = 68) or MYBPC3 (n = 34) genes.

FIELD STRENGTH/SEQUENCE: Cardiac MRI was performed at 3.0T with balanced steady-state free precession (bSSFP), phase-sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE), and modified Look-Locker inversion recovery (MOLLI) T₁ mapping sequences.

ASSESSMENT: All patients underwent next-generation sequencing and Sanger genetic sequencing. Left ventricular native T₁ and LGE were analyzed. One hundred and fifty-seven radiomic features were extracted and modeled using a support vector machine (SVM) combined with principal component analysis (PCA). Each subgroup was randomly split 4:1 (feature selection / test validation).

STATISTICAL TESTS: Mann-Whitney U-tests and Student's t-tests were performed to assess differences between subgroups. A receiver operating characteristic (ROC) curve was used to assess the model's ability to stratify patients based on radiomic features.

RESULTS: There were no significant differences between MYH7- and MYBPC3-associated HCM subgroups based on traditional native T₁ values (global, basal, and middle short-axis slice native T₁ ; P = 0.760, 0.914, and 0.178, respectively). However, the SVM model combined with PCA achieved an accuracy and area under the curve (AUC) of 92.0% and 0.968 (95% confidence interval [CI]: 0.968-0.971), respectively. For the test validation dataset, the accuracy and AUC were 85.5% and 0.886 (95% CI: 0.881-0.901), respectively.

DATA CONCLUSION: Radiomic analysis of native T₁ mapping images may be able to discriminate between MYH7- and MYBPC3-associated HCM patients, exceeding the performance of conventional native T₁ values.

LEVEL OF EVIDENCE: 3

TECHNICAL EFFICACY STAGE: 2

Original language	English
Pages (from-to)	1714-1721
Journal	Journal of Magnetic Resonance Imaging
Volume	52
Issue number	6
Early online date	11 Jun 2020
DOIs	https://doi.org/10.1002/jmri.27209
Publication status	E-pub ahead of print - 11 Jun 2020

Bibliographical note

Keywords

cardiomyopathy, hypertrophic
human genetics
machine learning
magnetic resonance imaging
support vector machine

Access to Document

10.1002/jmri.27209Licence: None: All rights reserved

Wang_et_al_Radiomic_analysis_of_native_T1_mapping_images_discriminates_between_MYH7_and_MYBPC3-related_hypertrophic_cardiomyopathy_Journal_of_Magnetic_Resonance_Imaging_2020
This is the peer reviewed version of the following article: Wang, J., Yang, F., Liu, W., Sun, J., Han, Y., Li, D., Gkoutos, G.V., Zhu, Y. and Chen, Y. (2020), Radiomic Analysis of Native T1 Mapping Images Discriminates Between MYH7 and MYBPC3 ‐Related Hypertrophic Cardiomyopathy. J Magn Reson Imaging. doi:10.1002/jmri.27209, which has been published in final form at: https://doi.org/10.1002/jmri.27209. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Accepted author manuscript, 205 KBLicence: Other (please specify with Rights Statement)

Cite this

@article{d0224511c3a043458b91cfa6a8a017b9,

title = "Radiomic analysis of native T1 mapping images discriminates between MYH7 and MYBPC3-related hypertrophic cardiomyopathy",

abstract = "BACKGROUND: The phenotype via conventional cardiac MRI analysis of MYH7 (β-myosin heavy chain)- and MYBPC3 (β-myosin-binding protein C)-associated hypertrophic cardiomyopathy (HCM) groups is similar. Few studies exist on the genotypic-phenotypic association as assessed by machine learning in HCM patients.PURPOSE: To explore the phenotypic differences based on radiomics analysis of T1 mapping images between MYH7 and MYBPC3-associated HCM subgroups.STUDY TYPE: Prospective observational study.SUBJECTS: In all, 102 HCM patients with pathogenic, or likely pathogenic mutation, in MYH7 (n = 68) or MYBPC3 (n = 34) genes.FIELD STRENGTH/SEQUENCE: Cardiac MRI was performed at 3.0T with balanced steady-state free precession (bSSFP), phase-sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE), and modified Look-Locker inversion recovery (MOLLI) T1 mapping sequences.ASSESSMENT: All patients underwent next-generation sequencing and Sanger genetic sequencing. Left ventricular native T1 and LGE were analyzed. One hundred and fifty-seven radiomic features were extracted and modeled using a support vector machine (SVM) combined with principal component analysis (PCA). Each subgroup was randomly split 4:1 (feature selection / test validation).STATISTICAL TESTS: Mann-Whitney U-tests and Student's t-tests were performed to assess differences between subgroups. A receiver operating characteristic (ROC) curve was used to assess the model's ability to stratify patients based on radiomic features.RESULTS: There were no significant differences between MYH7- and MYBPC3-associated HCM subgroups based on traditional native T1 values (global, basal, and middle short-axis slice native T1 ; P = 0.760, 0.914, and 0.178, respectively). However, the SVM model combined with PCA achieved an accuracy and area under the curve (AUC) of 92.0% and 0.968 (95% confidence interval [CI]: 0.968-0.971), respectively. For the test validation dataset, the accuracy and AUC were 85.5% and 0.886 (95% CI: 0.881-0.901), respectively.DATA CONCLUSION: Radiomic analysis of native T1 mapping images may be able to discriminate between MYH7- and MYBPC3-associated HCM patients, exceeding the performance of conventional native T1 values.LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2",

keywords = "cardiomyopathy, hypertrophic, human genetics, machine learning, magnetic resonance imaging, support vector machine",

author = "Jie Wang and Fuyao Yang and Wentao Liu and Jiayu Sun and Yuchi Han and Dong Li and Gkoutos, {Georgios V} and Yanjie Zhu and Yucheng Chen",

note = "{\textcopyright} 2020 International Society for Magnetic Resonance in Medicine.",

year = "2020",

month = jun,

day = "11",

doi = "10.1002/jmri.27209",

language = "English",

volume = "52",

pages = "1714--1721",

journal = "Journal of Magnetic Resonance Imaging",

issn = "1053-1807",

publisher = "Wiley",

number = "6",

}

TY - JOUR

T1 - Radiomic analysis of native T1 mapping images discriminates between MYH7 and MYBPC3-related hypertrophic cardiomyopathy

AU - Wang, Jie

AU - Yang, Fuyao

AU - Liu, Wentao

AU - Sun, Jiayu

AU - Han, Yuchi

AU - Li, Dong

AU - Gkoutos, Georgios V

AU - Zhu, Yanjie

AU - Chen, Yucheng

PY - 2020/6/11

Y1 - 2020/6/11

N2 - BACKGROUND: The phenotype via conventional cardiac MRI analysis of MYH7 (β-myosin heavy chain)- and MYBPC3 (β-myosin-binding protein C)-associated hypertrophic cardiomyopathy (HCM) groups is similar. Few studies exist on the genotypic-phenotypic association as assessed by machine learning in HCM patients.PURPOSE: To explore the phenotypic differences based on radiomics analysis of T1 mapping images between MYH7 and MYBPC3-associated HCM subgroups.STUDY TYPE: Prospective observational study.SUBJECTS: In all, 102 HCM patients with pathogenic, or likely pathogenic mutation, in MYH7 (n = 68) or MYBPC3 (n = 34) genes.FIELD STRENGTH/SEQUENCE: Cardiac MRI was performed at 3.0T with balanced steady-state free precession (bSSFP), phase-sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE), and modified Look-Locker inversion recovery (MOLLI) T1 mapping sequences.ASSESSMENT: All patients underwent next-generation sequencing and Sanger genetic sequencing. Left ventricular native T1 and LGE were analyzed. One hundred and fifty-seven radiomic features were extracted and modeled using a support vector machine (SVM) combined with principal component analysis (PCA). Each subgroup was randomly split 4:1 (feature selection / test validation).STATISTICAL TESTS: Mann-Whitney U-tests and Student's t-tests were performed to assess differences between subgroups. A receiver operating characteristic (ROC) curve was used to assess the model's ability to stratify patients based on radiomic features.RESULTS: There were no significant differences between MYH7- and MYBPC3-associated HCM subgroups based on traditional native T1 values (global, basal, and middle short-axis slice native T1 ; P = 0.760, 0.914, and 0.178, respectively). However, the SVM model combined with PCA achieved an accuracy and area under the curve (AUC) of 92.0% and 0.968 (95% confidence interval [CI]: 0.968-0.971), respectively. For the test validation dataset, the accuracy and AUC were 85.5% and 0.886 (95% CI: 0.881-0.901), respectively.DATA CONCLUSION: Radiomic analysis of native T1 mapping images may be able to discriminate between MYH7- and MYBPC3-associated HCM patients, exceeding the performance of conventional native T1 values.LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2

AB - BACKGROUND: The phenotype via conventional cardiac MRI analysis of MYH7 (β-myosin heavy chain)- and MYBPC3 (β-myosin-binding protein C)-associated hypertrophic cardiomyopathy (HCM) groups is similar. Few studies exist on the genotypic-phenotypic association as assessed by machine learning in HCM patients.PURPOSE: To explore the phenotypic differences based on radiomics analysis of T1 mapping images between MYH7 and MYBPC3-associated HCM subgroups.STUDY TYPE: Prospective observational study.SUBJECTS: In all, 102 HCM patients with pathogenic, or likely pathogenic mutation, in MYH7 (n = 68) or MYBPC3 (n = 34) genes.FIELD STRENGTH/SEQUENCE: Cardiac MRI was performed at 3.0T with balanced steady-state free precession (bSSFP), phase-sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE), and modified Look-Locker inversion recovery (MOLLI) T1 mapping sequences.ASSESSMENT: All patients underwent next-generation sequencing and Sanger genetic sequencing. Left ventricular native T1 and LGE were analyzed. One hundred and fifty-seven radiomic features were extracted and modeled using a support vector machine (SVM) combined with principal component analysis (PCA). Each subgroup was randomly split 4:1 (feature selection / test validation).STATISTICAL TESTS: Mann-Whitney U-tests and Student's t-tests were performed to assess differences between subgroups. A receiver operating characteristic (ROC) curve was used to assess the model's ability to stratify patients based on radiomic features.RESULTS: There were no significant differences between MYH7- and MYBPC3-associated HCM subgroups based on traditional native T1 values (global, basal, and middle short-axis slice native T1 ; P = 0.760, 0.914, and 0.178, respectively). However, the SVM model combined with PCA achieved an accuracy and area under the curve (AUC) of 92.0% and 0.968 (95% confidence interval [CI]: 0.968-0.971), respectively. For the test validation dataset, the accuracy and AUC were 85.5% and 0.886 (95% CI: 0.881-0.901), respectively.DATA CONCLUSION: Radiomic analysis of native T1 mapping images may be able to discriminate between MYH7- and MYBPC3-associated HCM patients, exceeding the performance of conventional native T1 values.LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2

KW - cardiomyopathy, hypertrophic

KW - human genetics

KW - machine learning

KW - magnetic resonance imaging

KW - support vector machine

UR - http://www.scopus.com/inward/record.url?scp=85086222975&partnerID=8YFLogxK

U2 - 10.1002/jmri.27209

DO - 10.1002/jmri.27209

M3 - Article

C2 - 32525266

SN - 1053-1807

VL - 52

SP - 1714

EP - 1721

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

IS - 6

ER -

Radiomic analysis of native T1 mapping images discriminates between MYH7 and MYBPC3-related hypertrophic cardiomyopathy

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this