Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women

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Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women. / Ganz, Melanie; de Bruijne, Marleen; Dam, Erik B.; Pettersen, Paola; Karsdal, Morten A.; Christiansen, Claus; Nielsen, Mads.

I: International Journal of Biomedical Imaging, Bind 2012, 459286, 2012.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Ganz, M, de Bruijne, M, Dam, EB, Pettersen, P, Karsdal, MA, Christiansen, C & Nielsen, M 2012, 'Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women', International Journal of Biomedical Imaging, bind 2012, 459286. https://doi.org/10.1155/2012/459286

APA

Ganz, M., de Bruijne, M., Dam, E. B., Pettersen, P., Karsdal, M. A., Christiansen, C., & Nielsen, M. (2012). Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women. International Journal of Biomedical Imaging, 2012, [459286]. https://doi.org/10.1155/2012/459286

Vancouver

Ganz M, de Bruijne M, Dam EB, Pettersen P, Karsdal MA, Christiansen C o.a. Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women. International Journal of Biomedical Imaging. 2012;2012. 459286. https://doi.org/10.1155/2012/459286

Author

Ganz, Melanie ; de Bruijne, Marleen ; Dam, Erik B. ; Pettersen, Paola ; Karsdal, Morten A. ; Christiansen, Claus ; Nielsen, Mads. / Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women. I: International Journal of Biomedical Imaging. 2012 ; Bind 2012.

Bibtex

@article{284986886c4f4bcab99734a0fc75e68c,
title = "Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women",
abstract = "Abdominal aortic calcifications (AACs) correlate strongly with coronary artery calcifications and can be predictors of cardiovascularmortality.We investigated whether size, shape, and distribution of AACs are related to mortality and how such prognosticmarkers perform compared to the state-of-the-art AC24 marker introduced by Kauppila. Methods. For 308 postmenopausalwomen, we quantified the number of AAC and the percentage of the abdominal aorta that the lesions occupied in terms of theirarea, simulated plaque area, thickness, wall coverage, and length. We analysed inter-/intraobserver reproducibility and predictiveability of mortality after 8-9 years via Cox regression leading to hazard ratios (HRs). Results. The coefficient of variation was below25{\%} for all markers. The strongest individual predictors were the number of calcifications (HR = 2.4) and the simulated areapercentage (HR = 2.96) of a calcified plaque, and, unlike AC24 (HR = 1.66), they allowed mortality prediction also after adjustingfor traditional risk factors. In a combined Cox regression model, the strongest complementary predictors were the number ofcalcifications (HR = 2.76) and the area percentage (HR = -3.84). Conclusion. Morphometric markers of AAC quantified fromradiographs may be a useful tool for screening and monitoring risk of CVD mortality.",
author = "Melanie Ganz and {de Bruijne}, Marleen and Dam, {Erik B.} and Paola Pettersen and Karsdal, {Morten A.} and Claus Christiansen and Mads Nielsen",
year = "2012",
doi = "10.1155/2012/459286",
language = "English",
volume = "2012",
journal = "International Journal of Biomedical Imaging",
issn = "1687-4188",
publisher = "Hindawi Publishing Corporation",

}

RIS

TY - JOUR

T1 - Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women

AU - Ganz, Melanie

AU - de Bruijne, Marleen

AU - Dam, Erik B.

AU - Pettersen, Paola

AU - Karsdal, Morten A.

AU - Christiansen, Claus

AU - Nielsen, Mads

PY - 2012

Y1 - 2012

N2 - Abdominal aortic calcifications (AACs) correlate strongly with coronary artery calcifications and can be predictors of cardiovascularmortality.We investigated whether size, shape, and distribution of AACs are related to mortality and how such prognosticmarkers perform compared to the state-of-the-art AC24 marker introduced by Kauppila. Methods. For 308 postmenopausalwomen, we quantified the number of AAC and the percentage of the abdominal aorta that the lesions occupied in terms of theirarea, simulated plaque area, thickness, wall coverage, and length. We analysed inter-/intraobserver reproducibility and predictiveability of mortality after 8-9 years via Cox regression leading to hazard ratios (HRs). Results. The coefficient of variation was below25% for all markers. The strongest individual predictors were the number of calcifications (HR = 2.4) and the simulated areapercentage (HR = 2.96) of a calcified plaque, and, unlike AC24 (HR = 1.66), they allowed mortality prediction also after adjustingfor traditional risk factors. In a combined Cox regression model, the strongest complementary predictors were the number ofcalcifications (HR = 2.76) and the area percentage (HR = -3.84). Conclusion. Morphometric markers of AAC quantified fromradiographs may be a useful tool for screening and monitoring risk of CVD mortality.

AB - Abdominal aortic calcifications (AACs) correlate strongly with coronary artery calcifications and can be predictors of cardiovascularmortality.We investigated whether size, shape, and distribution of AACs are related to mortality and how such prognosticmarkers perform compared to the state-of-the-art AC24 marker introduced by Kauppila. Methods. For 308 postmenopausalwomen, we quantified the number of AAC and the percentage of the abdominal aorta that the lesions occupied in terms of theirarea, simulated plaque area, thickness, wall coverage, and length. We analysed inter-/intraobserver reproducibility and predictiveability of mortality after 8-9 years via Cox regression leading to hazard ratios (HRs). Results. The coefficient of variation was below25% for all markers. The strongest individual predictors were the number of calcifications (HR = 2.4) and the simulated areapercentage (HR = 2.96) of a calcified plaque, and, unlike AC24 (HR = 1.66), they allowed mortality prediction also after adjustingfor traditional risk factors. In a combined Cox regression model, the strongest complementary predictors were the number ofcalcifications (HR = 2.76) and the area percentage (HR = -3.84). Conclusion. Morphometric markers of AAC quantified fromradiographs may be a useful tool for screening and monitoring risk of CVD mortality.

U2 - 10.1155/2012/459286

DO - 10.1155/2012/459286

M3 - Journal article

C2 - 22719751

VL - 2012

JO - International Journal of Biomedical Imaging

JF - International Journal of Biomedical Imaging

SN - 1687-4188

M1 - 459286

ER -

ID: 38289880