M Meier-Schroers
University Hospital Bonn
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Featured researches published by M Meier-Schroers.
European Radiology | 2018
Frederic Carsten Schmeel; J Luetkens; Peter Johannes Wagenhäuser; M Meier-Schroers; Daniel Kuetting; Andreas Feißt; Jürgen Gieseke; Leonard Christopher Schmeel; F Träber; Hans Heinz Schild; G Kukuk
ObjectivesTo investigate whether proton density fat fraction (PDFF) measurements using a six-echo modified Dixon sequence can help to differentiate between benign and malignant vertebral bone marrow lesions.MethodsSixty-six patients were prospectively enrolled in our study. In addition to conventional MRI at 3.0-Tesla including at least sagittal T2-weighted/spectral attenuated inversion recovery and T1-weighted sequences, all patients underwent a sagittal six-echo modified Dixon sequence of the spine. The mean PDFF was calculated using regions of interest and compared between vertebral lesions. A cut-off value of 6.40% in PDFF was determined by receiver operating characteristic curves and used to differentiate between malignant (< 6.40%) and benign (≥ 6.40%) vertebral lesions.ResultsThere were 77 benign and 44 malignant lesions. The PDFF of malignant lesions was statistically significant lower in comparison with benign lesions (p < 0.001) and normal vertebral bone marrow (p < 0.001). The areas under the curves (AUC) were 0.97 for differentiating benign from malignant lesions (p < 0.001) and 0.95 for differentiating acute vertebral fractures from malignant lesions (p < 0.001). This yielded a diagnostic accuracy of 96% in the differentiation of both benign lesions and acute vertebral fractures from malignancy.ConclusionPDFF derived from six-echo modified Dixon allows for differentiation between benign and malignant vertebral lesions with a high diagnostic accuracy.Key Points• Establishing a diagnosis of indeterminate vertebral lesions is a common clinical problem• Benign bone marrow processes may mimic the signal alterations observed in malignancy• PDFF differentiates between benign and malignant lesions with a high diagnostic accuracy• PDFF of non-neoplastic vertebral lesions is significantly higher than that of malignancy• PDFF from six-echo modified Dixon may help avoid potentially harmful bone biopsy
European Radiology | 2018
M Meier-Schroers; Christian Marx; Frederic Carsten Schmeel; K Wolter; Jürgen Gieseke; Wolfgang Block; A Sprinkart; Frank Traeber; Winfried A. Willinek; Hans Heinz Schild; G Kukuk
PurposeTo evaluate revised PROPELLER (RevPROP) for T2-weighted imaging (T2WI) of the prostate as a substitute for turbo spin echo (TSE).Materials and methodsThree-Tesla MR images of 50 patients with 55 cancer-suspicious lesions were prospectively evaluated. Findings were correlated with histopathology after MRI-guided biopsy. T2 RevPROP, T2 TSE, diffusion-weighted imaging, dynamic contrast enhancement, and MR-spectroscopy were acquired. RevPROP was compared to TSE concerning PI-RADS scores, lesion size, lesion signal-intensity, lesion contrast, artefacts, and image quality.ResultsThere were 41 carcinomas in 55 cancer-suspicious lesions. RevPROP detected 41 of 41 carcinomas (100%) and 54 of 55 lesions (98.2%). TSE detected 39 of 41 carcinomas (95.1%) and 51 of 55 lesions (92.7%). RevPROP showed fewer artefacts and higher image quality (each p < 0.001). No differences were observed between single and overall PI-RADS scores based on RevPROP or TSE (p = 0.106 and p = 0.107). Lesion size was not different (p = 0.105). T2-signal intensity of lesions was higher and T2-contrast of lesions was lower on RevPROP (each p < 0.001).ConclusionFor prostate cancer detection RevPROP is superior to TSE with respect to motion robustness, image quality and detection rates of lesions. Therefore, RevPROP might be used as a substitute for T2WI.Key points• Revised PROPELLER can be used as a substitute for T2-weighted prostate imaging.• Revised PROPELLER detected more carcinomas and more suspicious lesions than TSE.• Revised PROPELLER showed fewer artefacts and better image quality compared to TSE.• There were no significant differences in PI-RADS scores between revised PROPELLER and TSE.• The lower T2-contrast of revised PROPELLER did not impair its diagnostic quality.
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2016
R Homsi; J Gieseke; A Sprinkart; M Meier-Schroers; J Lütkens; Christian Marx; Darius Dabir; Daniel Kuetting; H. H. Schild; D Thomas
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2016
R Homsi; D Thomas; Jürgen Gieseke; M Meier-Schroers; Darius Dabir; Daniel Kuetting; J Luetkens; Christian Marx; Hans Heinz Schild; A. Sprinkart
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2017
Christian Marx; M Meier-Schroers; C Schmeel; Wolfgang Block; F Träber; M Sprinkart; H. H. Schild; G Kukuk
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2017
M Meier-Schroers; Christian Marx; F Schmeel; Maximilian Rauch; K Wolter; Wolfgang Block; A Sprinkart; F Träber; W Willinek; H. H. Schild; G Kukuk
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2017
R Homsi; A Sprinkart; Daniel Kuetting; M Meier-Schroers; J Luetkens; S Fischer; Christian Marx; Darius Dabir; Jürgen Gieseke; H. H. Schild; D Thomas
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2017
M Meier-Schroers; R Homsi; J Gieseke; Darius Dabir; D Kütting; A Feißt; H. H. Schild; D Thomas
Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2016
Christian Marx; G Kukuk; W Willinek; C Schmeel; M Meier-Schroers; Rami Homsi; K Wolter
Global heart | 2016
R Homsi; Jürgen Gieseke; A Sprinkart; M Meier-Schroers; J Luetkens; Christian Marx; Darius Dabir; Daniel Kuetting; Hans Heinz Schild; D Thomas