Proximal Anomalous Connections of Coronary Arteries in Adults

Aubry, P; Fretay, X. Halna du; Calvert, Patrick A.; Dupouy, Patrick; Hyafil, Fabien; Laissy, Jean-Pierre; Juliard, Jean‐Michel

doi:10.5772/27782

Cited by 9 publications

(17 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We chose in this study to define each initial course according to the first closest adjacent cardiac structure . Nomenclature using the so‐called interarterial course may be ambiguous to identify a preaortic or a retropulmonary course, and was not used for the classification.…”

Section: Methodsmentioning

confidence: 99%

“…Proximal ANOmalous connections of the CORonary arteries (ANOCOR) are a diverse entity with an angiographic prevalence averaging 1% . Whereas most of the ANOCOR are considered as benign abnormalities, a small number of ANOCOR can be associated with a risk of sudden cardiac death .…”

Section: Introductionmentioning

confidence: 99%

“…Proximal ANOmalous connections of the CORonary arteries (ANO-COR) are a diverse entity with an angiographic prevalence averaging 1%. 1 Whereas most of the ANOCOR are considered as benign abnormalities, a small number of ANOCOR can be associated with a risk of sudden cardiac death. [2][3][4][5] Invasive coronary angiography (ICA) mostly enables to recognize the coronary anomaly, but sometimes cannot accurately identify the site of the connection or the ectopic initial course.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interobserver variability in the classification of congenital coronary abnormalities: A substudy of the anomalous connections of the coronary arteries registry

Koutsoukis

Fretay

Dupouy

et al. 2017

Congenital Heart Disease

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Interobserver variability in the classification of congenital coronary abnormalities: A substudy of the anomalous connections of the coronary arteries registry

Koutsoukis

Fretay

Dupouy

et al. 2017

Congenital Heart Disease

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hence, we combine the LM and LAD in a single zone (zone 1), in order to guarantee the presence of at least one of the two. The second assumption typically holds, though an anomalous origin of a coronary artery is rare but possible, with an angiographic prevalence of approximately 1% [8].…”

Section: Coronary Artery Region Modelsmentioning

confidence: 99%

“…Contrast injection makes it possible to distinguish the lumen from other surrounding tissues to a certain extent, but uneven distribution of contrast makes it difficult to detect arteries in distal regions. Also, in the presence of pathologies, the arteries deviate from their normal morphology and appearance [7,8]. In the case of non-contrast CT data the identification of coronaries poses an even more difficult challenge as the gradients between luminal blood and the surrounding tissues tend to be very slight.…”

Section: Introductionmentioning

confidence: 98%

Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data

Brunner

Chittajallu

Kurkure

et al. 2010

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

Measurements related to coronary artery calcification (CAC) offer significant predictive value for coronary artery disease (CAD). In current medical practice CAC scoring is a labor-intensive task. The objective of this paper is the development and evaluation of a family of coronary artery region (CAR) models applied to the detection of CACs in coronary artery zones and sections. Thirty patients underwent non-contrast electron-beam computed tomography scanning. Coronary artery trajectory points as presented in the University of Houston heart-centered coordinate system were utilized to construct the CAR models which automatically detect coronary artery zones and sections. On a per-patient and per-zone basis the proposed CAR models detected CACs with a sensitivity, specificity and accuracy of 85.56 (± 15.80)%, 93.54 (± 1.98)%, and 85.27 (± 14.67)%, respectively while the corresponding values in the zones and segments based case were 77.94 (± 7.78)%, 96.57 (± 4.90)%, and 73.58 (± 8.96)%, respectively. The results of this study suggest that the family of CAR models provide an effective method to detect different regions of the coronaries. Further, the CAR classifiers are able to detect CACs with a mean sensitivity and specificity of 86.33 and 93.78%, respectively.

show abstract

Ostium coronaire unique : artère coronaire unique ou artère coronaire ectopique connectée à l’artère controlatérale. Comment et pourquoi les différencier ?

Aubry

Amami

Fretay

et al. 2013

Annales de Cardiologie et d'Angéiologie

View full text Add to dashboard Cite

Proximal Anomalous Connections of Coronary Arteries in Adults

Cited by 9 publications

References 95 publications

Interobserver variability in the classification of congenital coronary abnormalities: A substudy of the anomalous connections of the coronary arteries registry

Interobserver variability in the classification of congenital coronary abnormalities: A substudy of the anomalous connections of the coronary arteries registry

Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data

Ostium coronaire unique : artère coronaire unique ou artère coronaire ectopique connectée à l’artère controlatérale. Comment et pourquoi les différencier ?

Contact Info

Product

Resources

About