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Dive into the research topics where Alexander M. de Vos is active.

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Featured researches published by Alexander M. de Vos.


Journal of the American College of Cardiology | 2008

Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study.

W. Bob Meijboom; Matthijs F.L. Meijs; Joanne D. Schuijf; Maarten J. Cramer; Nico R. Mollet; Carlos Van Mieghem; Koen Nieman; Jacob M. van Werkhoven; Gabija Pundziute; Annick C. Weustink; Alexander M. de Vos; Francesca Pugliese; Benno J. Rensing; J. Wouter Jukema; Jeroen J. Bax; Mathias Prokop; Pieter A. Doevendans; Myriam Hunink; Gabriel P. Krestin; Pim J. de Feyter

OBJECTIVES This study sought to determine the diagnostic accuracy of 64-slice computed tomographic coronary angiography (CTCA) to detect or rule out significant coronary artery disease (CAD). BACKGROUND CTCA is emerging as a noninvasive technique to detect coronary atherosclerosis. METHODS We conducted a prospective, multicenter, multivendor study involving 360 symptomatic patients with acute and stable anginal syndromes who were between 50 and 70 years of age and were referred for diagnostic conventional coronary angiography (CCA) from September 2004 through June 2006. All patients underwent a nonenhanced calcium scan and a CTCA, which was compared with CCA. No patients or segments were excluded because of impaired image quality attributable to either coronary motion or calcifications. Patient-, vessel-, and segment-based sensitivities and specificities were calculated to detect or rule out significant CAD, defined as >or=50% lumen diameter reduction. RESULTS The prevalence among patients of having at least 1 significant stenosis was 68%. In a patient-based analysis, the sensitivity for detecting patients with significant CAD was 99% (95% confidence interval [CI]: 98% to 100%), specificity was 64% (95% CI: 55% to 73%), positive predictive value was 86% (95% CI: 82% to 90%), and negative predictive value was 97% (95% CI: 94% to 100%). In a segment-based analysis, the sensitivity was 88% (95% CI: 85% to 91%), specificity was 90% (95% CI: 89% to 92%), positive predictive value was 47% (95% CI: 44% to 51%), and negative predictive value was 99% (95% CI: 98% to 99%). CONCLUSIONS Among patients in whom a decision had already been made to obtain CCA, 64-slice CTCA was reliable for ruling out significant CAD in patients with stable and unstable anginal syndromes. A positive 64-slice CTCA scan often overestimates the severity of atherosclerotic obstructions and requires further testing to guide patient management.


American Journal of Cardiology | 2008

Relation of epicardial and pericoronary fat to coronary atherosclerosis and coronary artery calcium in patients undergoing coronary angiography.

Petra M. Gorter; Alexander M. de Vos; Yolanda van der Graaf; Pieter R. Stella; Pieter A. Doevendans; Matthijs F.L. Meijs; Mathias Prokop; Frank L.J. Visseren

Fat surrounding coronary arteries might aggravate coronary artery disease (CAD). We investigated the relation between epicardial adipose tissue (EAT) and pericoronary fat and coronary atherosclerosis and coronary artery calcium (CAC) in patients with suspected CAD and whether this relation is modified by total body weight. This was a cross-sectional study of 128 patients with angina pectoris (61 +/- 6 years of age) undergoing coronary angiography. EAT volume and pericoronary fat thickness were measured with cardiac computed tomography. Severity of coronary atherosclerosis was assessed by the number of stenotic (> or =50%) coronary vessels; extent of CAC was determined by the Agatston score. Patients were stratified for median total body weight (body mass index [BMI] 27 kg/m(2)). Overall, EAT and pericoronary fat were not associated with severity of coronary atherosclerosis and extent of CAC. In patients with low BMI, those with multivessel disease had increased EAT volume (100 vs 67 cm(3), p = 0.04) and pericoronary fat thickness (9.8 vs 8.4 mm, p = 0.06) compared with those without CAD. Also, patients with severe CAC had increased EAT volume (108.0 vs 69 cm(3), p = 0.02) and pericoronary fat thickness (10.0 vs 8.2 mm, p value = 0.01) compared with those with minimal/absent CAC. In conclusion, EAT and pericoronary fat were not associated with severity of coronary atherosclerosis and CAC in patients with suspected CAD. However, in those with low BMI, increased EAT and pericoronary fat were related to more severe coronary atherosclerosis and CAC. Fat surrounding coronary arteries may be involved in the process of coronary atherosclerosis, although this is different for patients with low and high BMIs.


Investigative Radiology | 2008

Variability of coronary calcium scores throughout the cardiac cycle: implications for the appropriate use of electrocardiogram-dose modulation with retrospectively gated computed tomography.

Annemarieke Rutten; Sébastien P. J. Krul; Matthijs F.L. Meijs; Alexander M. de Vos; Maarten-Jan M. Cramer; Mathias Prokop

Objective:To study how much the calcium scores at various phases throughout the cardiac cycle deviate from the score in the most motionless phase during retrospectively electrocardiogram (ECG)-gated multidetector row computed tomography (MDCT) of the heart and to evaluate how to optimize ECG-based tube current modulation so that errors in calcium scoring can be minimized while dose savings can be maximized. Materials and Methods:In 73 subjects with known or suspected coronary artery disease we performed retrospectively ECG-gated 64-detector row computed tomography for calcium scoring. Four subjects were excluded after scanning because of breathing artifacts or lack of coronary calcification. The scans of 69 subjects (46 men, mean age 62 ± 6 years) were used for further analysis. Heart rate during the scan was recorded. In each patient, calcium scoring [Agatston score (AS), mass score (MS), and volume score, (VS)] was performed on 10 data sets reconstructed at 10%-intervals throughout the cardiac cycle. The most motionless phase was subjectively determined and used as the reference phase. For the score in each phase, deviation from the score in the reference phase was determined. An ECG-simulator was used to determine the amount of dose saving while scanning with dose modulation and applying diagnostic dose during 1 or several phases. Results:Mean heart rate was 63 (±13) beats per minute (bpm). In 51% of patients the reference phase was the 70% phase. Using the calcium score in the 70% phase (mid-diastole) instead of the reference at heart rates below 70 bpm would have induced a median score deviation of 0% [interquartile range: 0%–6% (AS, MS, and VS)] and using the calcium score in the 40% phase (end-systole) at heart rates ≥70 bpm would also have induced a median score deviation of 0% [interquartile range: 0%–7% (AS), 0%–5% (MS), and 0%–3% (VS)]. Errors in calcium scores of more than 10% occur in around 10% of subjects for all 3 scoring algorithms. Dose savings increased with lower heart rates and shorter application of diagnostic dose. Conclusions:The optimum phases for dose modulation are 70% (mid-diastole) at heart rates below 70 bpm and 40% (end-systole) at heart rates above 70 bpm. Under these conditions dose saving is maximum and a median error of 0% is found for the various calcium scoring techniques with score errors of more than 10% in around 10% of subjects.


European Radiology | 2010

Biphasic contrast medium injection in cardiac CT: moderate versus high concentration contrast material at identical iodine flux and iodine dose

Annemarieke Rutten; Matthijs F.L. Meijs; Alexander M. de Vos; Peter Seidensticker; Mathias Prokop

ObjectiveTo prospectively investigate the influence of contrast material concentration on enhancement in cardiac CT by using a biphasic single-injection protocol.MethodsSixty-four-row multidetector cardiac CT angiography was performed in 159 patients randomised to a moderate or high contrast medium concentration. Contrast material injection included a first phase for enhancement of the coronary arteries and a second phase, at half the iodine flux, targeted at enhancement of the right ventricle. Contrast medium injection was followed by a saline flush. For both concentrations, injection duration (and thus total iodine dose) was adapted to the duration of the CT data acquisition and iodine flux was adjusted to patient weight. Attenuation was measured at various levels in the heart and vessels and the two concentrations compared, overall and per weight group.ResultsEnhancement of the aorta and left ventricle was significantly greater with the moderate than with the high concentration contrast medium. This remained true for the two higher weight groups. No difference was found in the lowest weight group or in the right ventricle and pulmonary outflow tract.ConclusionWith a biphasic injection protocol, enhancement of the aorta and left ventricle was weaker with the higher concentration of contrast material.


Acta Radiologica | 2010

Does slice thickness affect diagnostic performance of 64-slice CT coronary angiography in stable and unstable angina patients with a positive calcium score?

Matthijs F.L. Meijs; Jan J.J. de Vries; Annemarieke Rutten; Ricardo P.J. Budde; Alexander M. de Vos; W. Bob Meijboom; Maarten J. Cramer; Pim J. de Feyter; Pieter A. Doevendans; Mathias Prokop

Background: Coronary calcification can lead to over-estimation of the degree of coronary stenosis. Purpose: To evaluate whether thinner reconstruction thickness improves the diagnostic performance of 64-slice CT coronary angiography (CTCA) in angina patients with a positive calcium score. Material and Methods: We selected 20 scans from a clinical study comparing CTCA to conventional coronary angiography (CCA) in stable and unstable angina patients based on a low number of motion artifacts and a positive calcium score. All images were acquired at 64×0.625 mm and each CTCA scan was reconstructed at slice thickness/increment 0.67 mm/0.33 mm, 0.9 mm/0.45 mm, and 1.4 mm/0.7 mm. Two reviewers blinded for CCA results independently evaluated the scans for the presence of significant coronary artery disease (CAD) in three randomly composed series, with ≥2 weeks in between series. The diagnostic performance of CTCA was compared for the different slice thicknesses using a pooled analysis of both reviewers. Significant CAD was defined as >50% diameter narrowing on quantitative CCA. Image noise (standard deviation of CT numbers) was measured in all scans. Inter-observer variability was assessed with kappa. Results: Significant CAD was present in 8% of 304 available segments. Median total Agatston calcium score was 181.8 (interquartile range 34.9–815.6). Sensitivity at 0.67 mm, 0.9 mm, and 1.4 mm slice thickness was 70% (95% confidence interval 57–83%), 74% (62–86%), and 70% (57–83%), respectively. Specificity was 85% (82–88%), 84% (81–87%), and 84% (81–87%), respectively. The positive predictive value was 30 (21–38%), 29 (21–37%), and 28 (20–36%), respectively. The negative predictive value was 97% (95–98%), 97% (96–99%), and 97% (96–99%), respectively. Kappa for inter-observer agreement was 0.56, 0.58, and 0.59. Noise decreased from 32.9 HU at 0.67 mm, to 23.2 HU at 1.4 mm (P<0.001). Conclusion: Diagnostic performance of CTCA in angina patients with a positive calcium score was not markedly affected by modest variations in reconstruction slice thickness.


Circulation | 2006

Multislice Computed Tomography Evaluation 21 Years After Heterotopic Heart Transplantation

Alexander M. de Vos; Nicolaas de Jonge; Annemarieke Rutten; Pieter A. Doevendans; Mathias Prokop; Maarten-Jan M. Cramer

A 47-year-old man was investigated in the heart transplantation unit of our hospital almost 21 years after he had undergone a heterotopic heart transplantation at the Harefield Hospital (England). This is probably the longest-living heterotopic heart transplantation patient ever. In June 1983, he received heart transplant for end-stage heart failure resulting from dilated cardiomyopathy. Nowadays, heterotopic heart transplantation is hardly performed but may be indicated when the patient has irreversible pulmonary hypertension or when the donor heart is believed to be too small to support the recipient’s circulation. This donor heart came from a 16-year-old boy, and a full heterotopic transplantation was performed with the donor pulmonary artery inserted into the recipient pulmonary artery. After a successful operation and some initial signs of rejection, this patient has been living a reasonably normal life. He was initially managed with triple-therapy immunosuppression; currently, he receives cyclosporine monotherapy. Since 1999, he has been known …


European Heart Journal | 2008

Peri-coronary epicardial adipose tissue is related to cardiovascular risk factors and coronary artery calcification in post-menopausal women

Alexander M. de Vos; Mathias Prokop; Cornelis Roos; Matthijs F.L. Meijs; Yvonne T. van der Schouw; Annemarieke Rutten; Petra M. Gorter; Maarten-Jan M. Cramer; Pieter A. Doevendans; Benno J. Rensing; Marie-Louise Bartelink; Birgitta K. Velthuis; Arend Mosterd; Michiel L. Bots


International Journal of Cardiovascular Imaging | 2011

Aortic root dimension changes during systole and diastole: evaluation with ECG-gated multidetector row computed tomography

Linda M. de Heer; Ricardo P.J. Budde; Willem P. Th. M. Mali; Alexander M. de Vos; Lex A. van Herwerden; Jolanda Kluin


Trials | 2008

Non-invasive cardiac assessment in high risk patients (The GROUND study): rationale, objectives and design of a multi-center randomized controlled clinical trial

Alexander M. de Vos; Annemarieke Rutten; Hester J van de Zaag-Loonen; Michiel L. Bots; Riksta Dikkers; Robert A Buiskool; Willem P. Th. M. Mali; D. D. Lubbers; Arend Mosterd; Mathias Prokop; Benno J. Rensing; Maarten J. Cramer; H. Wouter van Es; Frans L. Moll; Eric D.W.M. van de Pavoordt; Pieter A. Doevendans; Birgitta K. Velthuis; Albert J. C. Mackaay; Felix Zijlstra; Matthijs Oudkerk


Archive | 2011

Angiography: A Prospective, Multicenter, Multivendor Study Diagnostic Accuracy of 64-Slice Computed Tomography Coronary

Myriam Hunink; Gabriel P. Krestin; Pim de Feyter; Benno J. Rensing; J Wouter Jukema; Jeroen J. Bax; Mathias Prokop; Annick C. Weustink; Alexander M. de Vos; Francesca Pugliese; R. Mollet; Carlos Van Mieghem; Koen Nieman; Jacob M. van Werkhoven; W. Bob Meijboom; Matthijs F.L. Meijs; Joanne D. Schuijf; Maarten J. Cramer

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Mathias Prokop

Radboud University Nijmegen

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Benno J. Rensing

Erasmus University Rotterdam

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