Yu M - Search Results

1

The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFR_CT, or high-risk plaque features?

Yu M, Lu Z, Shen C, Yan J, Wang Y, Lu B, Zhang J. Yu M, et al. Eur Radiol. 2019 Jul;29(7):3647-3657. doi: 10.1007/s00330-019-06139-2. Epub 2019 Mar 22. Eur Radiol. 2019. PMID: 30903334

2

CT features in the early and late stages of chronic total coronary occlusions.

Yu M, Xu N, Zhang J, Li Y, Li M, Lu Z, Wei M, Lu B. Yu M, et al. J Cardiovasc Comput Tomogr. 2015 Nov-Dec;9(6):572-7. doi: 10.1016/j.jcct.2015.07.010. Epub 2015 Jul 29. J Cardiovasc Comput Tomogr. 2015. PMID: 26255169

3

Non-invasive imaging of myocardial bridge by coronary computed tomography angiography: the value of transluminal attenuation gradient to predict significant dynamic compression.

Li Y, Yu M, Zhang J, Li M, Lu Z, Wei M. Li Y, et al. Among authors: yu m. Eur Radiol. 2017 May;27(5):1971-1979. doi: 10.1007/s00330-016-4544-7. Epub 2016 Aug 26. Eur Radiol. 2017. PMID: 27565800

4

Assessment of Myocardial Bridge by Cardiac CT: Intracoronary Transluminal Attenuation Gradient Derived from Diastolic Phase Predicts Systolic Compression.

Yu M, Zhang Y, Li Y, Li M, Li W, Zhang J. Yu M, et al. Korean J Radiol. 2017 Jul-Aug;18(4):655-663. doi: 10.3348/kjr.2017.18.4.655. Epub 2017 May 19. Korean J Radiol. 2017. PMID: 28670160 Free PMC article.

5

Calcification Remodeling Index Characterized by Cardiac CT as a Novel Parameter to Predict the Use of Rotational Atherectomy for Coronary Intervention of Lesions with Moderate to Severe Calcification.

Yu M, Li Y, Li W, Lu Z, Wei M, Zhang J. Yu M, et al. Korean J Radiol. 2017 Sep-Oct;18(5):753-762. doi: 10.3348/kjr.2017.18.5.753. Epub 2017 Jul 17. Korean J Radiol. 2017. PMID: 28860893 Free PMC article.

6

Calcification remodeling index assessed by cardiac CT predicts severe coronary stenosis in lesions with moderate to severe calcification.

Yu M, Li Y, Li W, Lu Z, Wei M, Zhang J. Yu M, et al. J Cardiovasc Comput Tomogr. 2018 Jan-Feb;12(1):42-49. doi: 10.1016/j.jcct.2017.09.017. Epub 2017 Sep 30. J Cardiovasc Comput Tomogr. 2018. PMID: 28988831

7

Third generation dual-source CT enables accurate diagnosis of coronary restenosis in all size stents with low radiation dose and preserved image quality.

Li Y, Yu M, Li W, Lu Z, Wei M, Zhang J. Li Y, et al. Among authors: yu m. Eur Radiol. 2018 Jun;28(6):2647-2654. doi: 10.1007/s00330-017-5256-3. Epub 2018 Jan 18. Eur Radiol. 2018. PMID: 29349698

8

Coronary plaque characteristics on baseline CT predict the need for late revascularization in symptomatic patients after percutaneous intervention.

Yu M, Lu Z, Li W, Wei M, Yan J, Zhang J. Yu M, et al. Eur Radiol. 2018 Aug;28(8):3441-3453. doi: 10.1007/s00330-018-5320-7. Epub 2018 Feb 15. Eur Radiol. 2018. PMID: 29450719

9

Natural History of Untreated Coronary Total Occlusions Revealed with Follow-Up Semi-Automated Quantitative Coronary CT Angiography: The Morphological Characteristics of Initial CT Predict Occlusion Shortening.

Wu Q, Yu M, Li Y, Li W, Lu Z, Wei M, Yan J, Zhang J. Wu Q, et al. Among authors: yu m. Korean J Radiol. 2018 Mar-Apr;19(2):256-264. doi: 10.3348/kjr.2018.19.2.256. Epub 2018 Feb 22. Korean J Radiol. 2018. PMID: 29520183 Free PMC article.

10

Quantitative baseline CT plaque characterization of unrevascularized non-culprit intermediate coronary stenosis predicts lesion volume progression and long-term prognosis: A serial CT follow-up study.

Yu M, Li W, Lu Z, Wei M, Yan J, Zhang J. Yu M, et al. Int J Cardiol. 2018 Aug 1;264:181-186. doi: 10.1016/j.ijcard.2018.03.021. Epub 2018 Mar 6. Int J Cardiol. 2018. PMID: 29548539

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