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Dive into the research topics where Christian Layritz is active.

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Featured researches published by Christian Layritz.


European Journal of Echocardiography | 2014

Accuracy of prospectively ECG-triggered very low-dose coronary dual-source CT angiography using iterative reconstruction for the detection of coronary artery stenosis: comparison with invasive catheterization

Christian Layritz; Jasmin Schmid; Stephan Achenbach; Stefan Ulzheimer; Wolfgang Wuest; M May; Dieter Ropers; Lutz Klinghammer; Werner G. Daniel; Tobias Pflederer; Michael Lell

OBJECTIVE To evaluate the image quality and diagnostic accuracy of very low-dose computed tomography (CT) angiography (CTA) for the evaluation of coronary artery stenosis. BACKGROUND Iterative reconstruction (IR) has shown to substantially reduce image noise and hence permit the use of very low-dose data acquisition protocols in coronary CTA. METHODS Fifty symptomatic patients with an intermediate likelihood for coronary artery disease underwent coronary CTA (heart rate: 59 ± 5 bpm, prospectively ECG-triggered axial acquisition, 100 kV, 160 mAs, 2 × 128 × 0.6 mm collimation, 60 mL contrast, 6 mL/s) prior to invasive coronary angiography. CTA images were reconstructed using both standard filtered back projection (FBP) and a raw data-based IR algorithm [Sinogram Affirmed Iterative Reconstruction (SAFIRE), Siemens Healthcare]. Subjective image quality (four-point Likert scale from 0 = non-diagnostic to 3 = excellent image quality), image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), as well as the presence of coronary stenosis >50% were independently determined by two observers. RESULTS The mean dose-length product was 46.8 ± 3.5 mGy cm (estimated effective dose 0.66 ± 0.05 mSv). IR led to significantly improved objective image quality compared with FBP (image noise: 41 ± 12 vs. 49 ± 11 HU, P < 0.0001; CNR: 16 ± 8 vs. 12 ± 4, P < 0.0001; SNR: 13 ± 7 vs. 10 ± 3, P < 0.0001). Four coronary segments were not evaluable on FBP data, whereas all segments showed diagnostic image quality with IR. To detect significant coronary stenosis, sensitivity, specificity, positive predictive value, and negative predictive value were 69% (11/16), 97% (175/180), 69% (11/16), and 97% (175/180) per vessel with FBP data sets, respectively. With IR data sets, the corresponding values were 81% (13/16), 97% (178/184), 68% (13/19), and 98% (178/181). These differences were not statistically significant (P = 0.617). CONCLUSIONS Raw data-based IR significantly improves image quality in very low-dose prospectively ECG-triggered coronary dual-source CTA when compared with standard reconstruction using FBP.


Jacc-cardiovascular Imaging | 2013

Low-Dose Dual-Source CT Angiography With Iterative Reconstruction for Coronary Artery Stent Evaluation

Jasmin Eisentopf; Stephan Achenbach; Stefan Ulzheimer; Christian Layritz; Wolfgang Wuest; M May; Michael Lell; Dieter Ropers; Lutz Klinghammer; Werner G. Daniel; Tobias Pflederer

OBJECTIVES The purpose of this study was to evaluate the image quality and diagnostic accuracy of very low-dose, dual-source computed tomography (DSCT) angiography for the evaluation of coronary stents. BACKGROUND Iterative reconstruction (IR) leads to substantial reduction of image noise and hence permits the use of very low-dose data acquisition protocols in coronary computed tomography angiography. METHODS Fifty symptomatic patients with 87 coronary stents (diameter 3.0 ± 0.4 mm) underwent coronary DSCT angiography (heart rate, 60 ± 6 beats/min; prospectively electrocardiography-triggered axial acquisition; 80 kV, 165 mA, 2 × 128 × 0.6-mm collimation; 60 ml of contrast at 6 ml/s) before invasive coronary angiography. DSCT images were reconstructed using both standard filtered back projection and a raw data-based IR algorithm (SAFIRE, Siemens Healthcare, Forchheim, Germany). Subjective image quality (4-point scale from 0 [nondiagnostic] to 3 [excellent image quality]), image noise, contrast-to-noise ratio as well as the presence of in-stent stenosis >50% were independently determined by 2 observers. RESULTS The median dose-length product was 23.0 (22.0; 23.0) mGy · cm (median estimated effective dose of 0.32 [0.31; 0.32] mSv). IR led to significantly improved image quality compared with filtered back projection (image quality score, 1.8 ± 0.6 vs. 1.5 ± 0.5, p < 0.05; image noise, 70 Hounsfield units [62; 80 Hounsfield units] vs. 96 Hounsfield units [82; 113 Hounsfield units], p < 0.001; contrast-to-noise ratio, 11.0 [9.6; 12.4] vs. 8.0 [6.2; 9.3], p < 0.001). To detect significant coronary stenosis in filtered back projection reconstructions, the sensitivity, specificity, positive predictive value, and negative predictive value were 97% (32 of 33), 53% (9 of 17), 80% (32 of 40), and 90% (9 of 10) per patient, respectively; 89% (43 of 48), 79% (120 of 152), 57% (42 of 74), and 96% (121 of 126) per vessel, respectively; and 85% (12 of 14), 69% (51 of 73), 32% (11 of 34), and 96% (51 of 53) per stent, respectively. In reconstructions obtained by IR, the corresponding values were 100% (33 of 33), 65% (11 of 17), 85% (33 of 39), and 100% (11 of 11) per patient, respectively; 96% (46 of 48), 84% (129 of 152), 66% (47 of 71), and 98% (127 of 129) per vessel, respectively; and 100% (14 of 14), 75% (55 of 73), 44% (14 of 32), and 100% (55 of 55) per stent, respectively. These differences were not significant. CONCLUSIONS In selected patients, prospectively electrocardiography-triggered image acquisition with 80-kV tube voltage and low current in combination with IR permits the evaluation of patients with implanted coronary artery stents with reasonable diagnostic accuracy at very low radiation exposure.


Academic Radiology | 2017

Influence of Cardiovascular Risk Factors on the Prevalence of Coronary Atherosclerosis in Patients with Angiographically Normal Coronary Arteries

Daniel O. Bittner; Lutz Klinghammer; Mohamed Marwan; Jasmin Schmid; Christian Layritz; Udo Hoffmann; Stephan Achenbach; Tobias Pflederer

RATIONALE AND OBJECTIVES Cardiovascular (CV) disease is predominately influenced by CV risk factors and coronary computed tomography angiography (CTA) is capable of detecting early-stage coronary artery disease. We sought to determine the influence of CV risk factors on the prevalence of nonobstructive atherosclerosis in patients with normal-appearing coronary arteries in invasive coronary angiography (ICA). MATERIALS AND METHODS In this retrospective analysis, we included 60 consecutive symptomatic patients, having undergone ICA and coronary CTA. Coronary dual source CTA was performed using electrocardiogram-triggered retrospective gated image acquisition at 40%-70% of RR interval (tube voltage 100-120 kV, tube current time product 320-440 mAs, 60 mL contrast, and flow rate 6 mL/s). RESULTS Out of 60 patients (32 men, mean age 61 ± 11 years) with a normal coronary artery appearance in ICA, 45 (75%) patients showed atherosclerotic plaque in CTA. Plaque was present in 14 of 60 (23%) left main, 41 of 60 (68%) left anterior descending, 21 of 60 (35%) circumflex coronary arteries, and 24 of 60 (40%) right coronary arteries. More than 15% of all coronary artery segments showed detectable plaques. Interobserver agreement ranged from good to very good on a per-patient, per-vessel, and per-segment level. Patients with presence of plaque were significantly older (P = 0.005) and showed higher incidence of arterial hypertension (P = 0.019) as compared to individuals without coronary plaque in dual source computed tomography. CONCLUSIONS The prevalence of coronary atherosclerosis by CTA is substantial in symptomatic patients with normal invasive coronary angiogram. Hypertension and older age significantly influence the prevalence of atherosclerotic plaque and highlight the importance of risk-modifying therapy.


European Radiology | 2013

Image quality of ultra-low radiation exposure coronary CT angiography with an effective dose <0.1 mSv using high-pitch spiral acquisition and raw data-based iterative reconstruction

Annika Schuhbaeck; Stephan Achenbach; Christian Layritz; Jasmin Eisentopf; Franziska Hecker; Tobias Pflederer; Soeren Gauss; Johannes Rixe; Willi A. Kalender; Werner G. Daniel; Michael Lell; Dieter Ropers


Journal of Cardiovascular Computed Tomography | 2013

Stent evaluation in low-dose coronary CT angiography: Effect of different iterative reconstruction settings

Wolfgang Wuest; M May; Michael Scharf; Christian Layritz; Jasmin Eisentopf; Dieter Ropers; Tobias Pflederer; Michael Uder; Stephan Achenbach; Michael Lell


European Heart Journal | 2013

Improved image quality after use of iterative reconstruction in coronary Dual-Source CT angiographies of obese patients: comparison to traditional filtered back projection

Christian Layritz; Jasmin Schmid; Christian Bietau; D. Bittner; Mohamed Marwan; Sören Gauss; Annika Schuhbaeck; Michael Uder; S. Achenbach; Tobias Pflederer


European Heart Journal | 2013

Predictors of coronary artery calcification progression: epicardial fat volume versus body mass index; insights from a follow-up study

Mohamed Marwan; Tobias Pflederer; Annika Schuhbaeck; Sören Gauss; M. Mitschke; D. Bittner; Christian Layritz; S. Achenbach


European Heart Journal | 2013

Software-based evaluation of aortic annulus dimensions in dual-source CT angiography prior to Transcatheter Aortic Valve Replacement (TAVR): comparison to manual analysis

Tobias Pflederer; C. Schmidkonz; D. Bernhardt; Lutz Klinghammer; Mohamed Marwan; Annika Schuhbaeck; Christian Layritz; Michael Uder; S. Achenbach


European Heart Journal | 2013

Differences in quantifying coronary calcifications by Dual-Source CT between iterative reconstruction and filtered back projection

Christian Layritz; S.K. Khan; Jasmin Schmid; Christian Bietau; D. Bittner; Mohamed Marwan; Annika Schuhbaeck; Michael Uder; S. Achenbach; Tobias Pflederer


European Heart Journal | 2013

Identification of non-obstructive coronary artery disease by coronary CT angiography in patients with normal coronary arteries in preceding invasive catheterization

D. Bittner; Lutz Klinghammer; Jasmin Schmid; Christian Layritz; S. Achenbach; Tobias Pflederer

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Tobias Pflederer

University of Erlangen-Nuremberg

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Annika Schuhbaeck

University of Erlangen-Nuremberg

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Dieter Ropers

University of Erlangen-Nuremberg

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Jasmin Schmid

University of Erlangen-Nuremberg

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Lutz Klinghammer

University of Erlangen-Nuremberg

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Michael Lell

University of Erlangen-Nuremberg

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Mohamed Marwan

University of Erlangen-Nuremberg

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S. Achenbach

University of Erlangen-Nuremberg

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Stephan Achenbach

University of Erlangen-Nuremberg

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D. Bittner

University of Erlangen-Nuremberg

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