Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy
Abstract Background To elucidate the value of texture analysis (TA) in detecting and differentiating myocardial tissue alterations on T2-weighted CMR (cardiovascular magnetic resonance imaging) in patients with cardiac amyloidosis (CA) and hypertrophic cardiomyopathy (HCM). Methods In this retrospec...
| मुख्य लेखकों: | , , , , , , |
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| स्वरूप: | लेख |
| भाषा: | English |
| प्रकाशित: |
BMC
2022-05-01
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| श्रृंखला: | BMC Cardiovascular Disorders |
| विषय: | |
| ऑनलाइन पहुंच: | https://doi.org/10.1186/s12872-022-02671-0 |
| _version_ | 1828216714519642112 |
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| author | Shan Huang Ke Shi Yi Zhang Wei-Feng Yan Ying-Kun Guo Yuan Li Zhi-Gang Yang |
| author_facet | Shan Huang Ke Shi Yi Zhang Wei-Feng Yan Ying-Kun Guo Yuan Li Zhi-Gang Yang |
| author_sort | Shan Huang |
| collection | DOAJ |
| description | Abstract Background To elucidate the value of texture analysis (TA) in detecting and differentiating myocardial tissue alterations on T2-weighted CMR (cardiovascular magnetic resonance imaging) in patients with cardiac amyloidosis (CA) and hypertrophic cardiomyopathy (HCM). Methods In this retrospective study, 100 CA (58.5 ± 10.7 years; 41 (41%) females) and 217 HCM (50.7 ± 14.8 years, 101 (46.5%) females) patients who underwent CMR scans were included. Regions of interest for TA were delineated by two radiologists independently on T2-weighted imaging (T2WI). Stepwise dimension reduction and texture feature selection based on reproducibility, machine learning algorithms, and correlation analyses were performed to select features. Both the CA and HCM groups were randomly divided into a training dataset and a testing dataset (7:3). After the TA model was established in the training set, the diagnostic performance of the model was validated in the testing set and further validated in a subgroup of patients with similar hypertrophy. Results The 7 independent texture features provided, in combination, a diagnostic accuracy of 86.0% (AUC = 0.915; 95% CI 0.879–0.951) in the training dataset and 79.2% (AUC = 0.842; 95% CI 0.759–0.924) in the testing dataset. The differential diagnostic accuracy in the similar hypertrophy subgroup was 82.2% (AUC = 0.864, 95% CI 0.805–0.922). The significance of the difference between the AUCs of the TA model and late gadolinium enhancement (LGE) was verified by Delong’s test (p = 0.898). All seven texture features showed significant differences between CA and HCM (all p < 0.001). Conclusions Our study demonstrated that texture analysis based on T2-weighted images could feasibly differentiate CA from HCM, even in patients with similar hypertrophy. The selected final texture features could achieve a comparable diagnostic capacity to the quantification of LGE. Trial registration Since this study is a retrospective observational study and no intervention had been involved, trial registration is waived. |
| first_indexed | 2024-04-12T15:34:59Z |
| format | Article |
| id | doaj.art-df02fc63d9d64da990044f9c47c7158f |
| institution | Directory Open Access Journal |
| issn | 1471-2261 |
| language | English |
| last_indexed | 2024-04-12T15:34:59Z |
| publishDate | 2022-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cardiovascular Disorders |
| spelling | doaj.art-df02fc63d9d64da990044f9c47c7158f2022-12-22T03:26:58ZengBMCBMC Cardiovascular Disorders1471-22612022-05-012211910.1186/s12872-022-02671-0Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathyShan Huang0Ke Shi1Yi Zhang2Wei-Feng Yan3Ying-Kun Guo4Yuan Li5Zhi-Gang Yang6Department of Radiology, West China Hospital, Sichuan UniversityDepartment of Radiology, West China Hospital, Sichuan UniversityDepartment of Radiology, West China Hospital, Sichuan UniversityDepartment of Radiology, West China Hospital, Sichuan UniversityDepartment of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan UniversityDepartment of Radiology, West China Hospital, Sichuan UniversityDepartment of Radiology, West China Hospital, Sichuan UniversityAbstract Background To elucidate the value of texture analysis (TA) in detecting and differentiating myocardial tissue alterations on T2-weighted CMR (cardiovascular magnetic resonance imaging) in patients with cardiac amyloidosis (CA) and hypertrophic cardiomyopathy (HCM). Methods In this retrospective study, 100 CA (58.5 ± 10.7 years; 41 (41%) females) and 217 HCM (50.7 ± 14.8 years, 101 (46.5%) females) patients who underwent CMR scans were included. Regions of interest for TA were delineated by two radiologists independently on T2-weighted imaging (T2WI). Stepwise dimension reduction and texture feature selection based on reproducibility, machine learning algorithms, and correlation analyses were performed to select features. Both the CA and HCM groups were randomly divided into a training dataset and a testing dataset (7:3). After the TA model was established in the training set, the diagnostic performance of the model was validated in the testing set and further validated in a subgroup of patients with similar hypertrophy. Results The 7 independent texture features provided, in combination, a diagnostic accuracy of 86.0% (AUC = 0.915; 95% CI 0.879–0.951) in the training dataset and 79.2% (AUC = 0.842; 95% CI 0.759–0.924) in the testing dataset. The differential diagnostic accuracy in the similar hypertrophy subgroup was 82.2% (AUC = 0.864, 95% CI 0.805–0.922). The significance of the difference between the AUCs of the TA model and late gadolinium enhancement (LGE) was verified by Delong’s test (p = 0.898). All seven texture features showed significant differences between CA and HCM (all p < 0.001). Conclusions Our study demonstrated that texture analysis based on T2-weighted images could feasibly differentiate CA from HCM, even in patients with similar hypertrophy. The selected final texture features could achieve a comparable diagnostic capacity to the quantification of LGE. Trial registration Since this study is a retrospective observational study and no intervention had been involved, trial registration is waived.https://doi.org/10.1186/s12872-022-02671-0Texture analysisCardiac amyloidosisHypertrophic cardiomyopathyLeft ventricular hypertrophy |
| spellingShingle | Shan Huang Ke Shi Yi Zhang Wei-Feng Yan Ying-Kun Guo Yuan Li Zhi-Gang Yang Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy BMC Cardiovascular Disorders Texture analysis Cardiac amyloidosis Hypertrophic cardiomyopathy Left ventricular hypertrophy |
| title | Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy |
| title_full | Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy |
| title_fullStr | Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy |
| title_full_unstemmed | Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy |
| title_short | Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy |
| title_sort | texture analysis of t2 weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy |
| topic | Texture analysis Cardiac amyloidosis Hypertrophic cardiomyopathy Left ventricular hypertrophy |
| url | https://doi.org/10.1186/s12872-022-02671-0 |
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