Grading of mitral regurgitation in mitral valve prolapse using the average pixel intensity method
We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kamoen, Victor [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Metabolic effects of goat milk yogurt supplemented with yacon flour in rats on high-fat diet - Fabersani, Emanuel ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:258 ; year:2018 ; day:1 ; month:05 ; pages:305-312 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ijcard.2018.01.014 |
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| 520 | |a We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. | ||
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10.1016/j.ijcard.2018.01.014 doi GBV00000000000294A.pica (DE-627)ELV042278503 (ELSEVIER)S0167-5273(17)36169-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 610 VZ Kamoen, Victor verfasserin aut Grading of mitral regurgitation in mitral valve prolapse using the average pixel intensity method 2018 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. El Haddad, Milad oth De Buyzere, Marc oth De Backer, Tine oth Timmermans, Frank oth Enthalten in Elsevier Science Fabersani, Emanuel ELSEVIER Metabolic effects of goat milk yogurt supplemented with yacon flour in rats on high-fat diet 2018 Amsterdam [u.a.] (DE-627)ELV000849189 volume:258 year:2018 day:1 month:05 pages:305-312 extent:8 https://doi.org/10.1016/j.ijcard.2018.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 258 2018 1 0501 305-312 8 045F 610 |
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10.1016/j.ijcard.2018.01.014 doi GBV00000000000294A.pica (DE-627)ELV042278503 (ELSEVIER)S0167-5273(17)36169-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 610 VZ Kamoen, Victor verfasserin aut Grading of mitral regurgitation in mitral valve prolapse using the average pixel intensity method 2018 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. El Haddad, Milad oth De Buyzere, Marc oth De Backer, Tine oth Timmermans, Frank oth Enthalten in Elsevier Science Fabersani, Emanuel ELSEVIER Metabolic effects of goat milk yogurt supplemented with yacon flour in rats on high-fat diet 2018 Amsterdam [u.a.] (DE-627)ELV000849189 volume:258 year:2018 day:1 month:05 pages:305-312 extent:8 https://doi.org/10.1016/j.ijcard.2018.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 258 2018 1 0501 305-312 8 045F 610 |
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10.1016/j.ijcard.2018.01.014 doi GBV00000000000294A.pica (DE-627)ELV042278503 (ELSEVIER)S0167-5273(17)36169-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 610 VZ Kamoen, Victor verfasserin aut Grading of mitral regurgitation in mitral valve prolapse using the average pixel intensity method 2018 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. El Haddad, Milad oth De Buyzere, Marc oth De Backer, Tine oth Timmermans, Frank oth Enthalten in Elsevier Science Fabersani, Emanuel ELSEVIER Metabolic effects of goat milk yogurt supplemented with yacon flour in rats on high-fat diet 2018 Amsterdam [u.a.] (DE-627)ELV000849189 volume:258 year:2018 day:1 month:05 pages:305-312 extent:8 https://doi.org/10.1016/j.ijcard.2018.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 258 2018 1 0501 305-312 8 045F 610 |
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10.1016/j.ijcard.2018.01.014 doi GBV00000000000294A.pica (DE-627)ELV042278503 (ELSEVIER)S0167-5273(17)36169-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 610 VZ Kamoen, Victor verfasserin aut Grading of mitral regurgitation in mitral valve prolapse using the average pixel intensity method 2018 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. El Haddad, Milad oth De Buyzere, Marc oth De Backer, Tine oth Timmermans, Frank oth Enthalten in Elsevier Science Fabersani, Emanuel ELSEVIER Metabolic effects of goat milk yogurt supplemented with yacon flour in rats on high-fat diet 2018 Amsterdam [u.a.] (DE-627)ELV000849189 volume:258 year:2018 day:1 month:05 pages:305-312 extent:8 https://doi.org/10.1016/j.ijcard.2018.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 258 2018 1 0501 305-312 8 045F 610 |
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Grading of mitral regurgitation in mitral valve prolapse using the average pixel intensity method |
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We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. |
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We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. |
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We recently reported the feasibility of the average pixel intensity (API) method for grading mitral regurgitation (MR) in a heterogeneous MR population. Since mitral valve prolapse (MVP) is an important cause of primary MR, we more specifically investigated the feasibility of the API method and the MR flow dynamics in patients with MVP. |
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7.398015 |