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Featured researches published by J Otto.


NeuroImage | 2014

Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects

Jorge Jovicich; Moira Marizzoni; Beatriz Bosch; David Bartrés-Faz; Jennifer Arnold; Jens Benninghoff; Jens Wiltfang; Luca Roccatagliata; Agnese Picco; Flavio Nobili; Olivier Blin; Stéphanie Bombois; Renaud Lopes; Régis Bordet; Valérie Chanoine; Jean-Philippe Ranjeva; Mira Didic; Hélène Gros-Dagnac; Pierre Payoux; Giada Zoccatelli; Franco Alessandrini; Alberto Beltramello; Nuria Bargalló; Antonio Ferretti; Massimo Caulo; Marco Aiello; Monica Ragucci; Andrea Soricelli; Nicola Salvadori; Roberto Tarducci

Large-scale longitudinal neuroimaging studies with diffusion imaging techniques are necessary to test and validate models of white matter neurophysiological processes that change in time, both in healthy and diseased brains. The predictive power of such longitudinal models will always be limited by the reproducibility of repeated measures acquired during different sessions. At present, there is limited quantitative knowledge about the across-session reproducibility of standard diffusion metrics in 3T multi-centric studies on subjects in stable conditions, in particular when using tract based spatial statistics and with elderly people. In this study we implemented a multi-site brain diffusion protocol in 10 clinical 3T MRI sites distributed across 4 countries in Europe (Italy, Germany, France and Greece) using vendor provided sequences from Siemens (Allegra, Trio Tim, Verio, Skyra, Biograph mMR), Philips (Achieva) and GE (HDxt) scanners. We acquired DTI data (2 × 2 × 2 mm(3), b = 700 s/mm(2), 5 b0 and 30 diffusion weighted volumes) of a group of healthy stable elderly subjects (5 subjects per site) in two separate sessions at least a week apart. For each subject and session four scalar diffusion metrics were considered: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial (AD) diffusivity. The diffusion metrics from multiple subjects and sessions at each site were aligned to their common white matter skeleton using tract-based spatial statistics. The reproducibility at each MRI site was examined by looking at group averages of absolute changes relative to the mean (%) on various parameters: i) reproducibility of the signal-to-noise ratio (SNR) of the b0 images in centrum semiovale, ii) full brain test-retest differences of the diffusion metric maps on the white matter skeleton, iii) reproducibility of the diffusion metrics on atlas-based white matter ROIs on the white matter skeleton. Despite the differences of MRI scanner configurations across sites (vendors, models, RF coils and acquisition sequences) we found good and consistent test-retest reproducibility. White matter b0 SNR reproducibility was on average 7 ± 1% with no significant MRI site effects. Whole brain analysis resulted in no significant test-retest differences at any of the sites with any of the DTI metrics. The atlas-based ROI analysis showed that the mean reproducibility errors largely remained in the 2-4% range for FA and AD and 2-6% for MD and RD, averaged across ROIs. Our results show reproducibility values comparable to those reported in studies using a smaller number of MRI scanners, slightly different DTI protocols and mostly younger populations. We therefore show that the acquisition and analysis protocols used are appropriate for multi-site experimental scenarios.


Acta Radiologica | 2015

Non-invasive estimation of prostate cancer aggressiveness using diffusion-weighted MRI and 3D proton MR spectroscopy at 3.0 T

G Thörmer; J Otto; Lars-Christian Horn; Nikita Garnov; Minh Do; Toni Franz; Jens-Uwe Stolzenburg; Michael Moche; Thomas Kahn; Harald Busse

Background Clinical management of prostate cancer increasingly aims to distinguish aggressive types that require immediate and radical treatment from indolent tumors that are candidates for watchful waiting. This requires reliable and reproducible parameters to effectively control potential cancer progression. Magnetic resonance imaging (MRI) may provide a non-invasive means for this purpose. Purpose To assess the value of diffusion-weighted imaging and proton MR spectroscopy for the prediction of prostate cancer (PCa) aggressiveness. Material and Methods In 39 of 64 consecutive patients who underwent endorectal 3-T MRI prior to radical prostatectomy, prostate specimens were analyzed as whole-mount step sections. Apparent diffusion coefficient (ADC), normalized ADC (nADC: tumor/healthy tissue), choline/citrate (CC), and (choline + creatine)/citrate (CCC) ratios were correlated with Gleason scores (GS) from histopathological results. The power to discriminate low (GS ≤ 6) from higher-risk (GS ≥ 7) tumors was assessed with receiver operating characteristics (area under the curve [AUC]). Resulting threshold values were used by a blinded reader to distinguish between aggressive and indolent tumors. Results Ninety lesions (1 × GS = 5, 41 × GS = 6, 36 × GS = 7, 12 × GS = 8) were considered. nADC (AUC = 0.90) showed a higher discriminatory power than ADC (AUC = 0.79). AUC for CC and CCC were 0.73 and 0.82, respectively. Using either nADC < 0.46 or CCC > 1.3, as well as both criteria for aggressive PCa, the reader correctly identified aggressive and indolent tumors in 31 (79%), 28 (72%), and 33 of 39 patients (85%), respectively. Predictions of tumor aggressiveness from TRUS-guided biopsies were correct in 27 of 36 patients (75%). Conclusion The combination of a highly sensitive normalized ADC with a highly specific CCC was found to be well suited to prospectively estimate PCa aggressiveness with a similar diagnostic accuracy as biopsy results.


Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2014

Value of endorectal magnetic resonance imaging at 3T for the local staging of prostate cancer.

J Otto; G Thörmer; Matthias Seiwerts; Jochen Fuchs; Nikita Garnov; Toni Franz; Lars-Christian Horn; Mh Do; Jens-Uwe Stolzenburg; Thomas Kahn; Michael Moche; Harald Busse

PURPOSE To assess the accuracy of endorectal 3 T magnetic resonance imaging (MRI) in detecting extracapsular extension (ECE) and seminal vesicle invasion (SVI) of prostate cancer (PCa). MATERIALS AND METHODS 38 consecutive patients with biopsy-proven PCa underwent multiparametric endorectal MRI at 3 T prior to prostatectomy. Two readers (A with nine years of experience and B with four) used established criteria for ECE and SVI to diagnose the extent of local disease in six regions (apical, dorsolateral, basal; left and right each) with the highest chance of ECE. The standard of reference was provided by intraoperative frozen section analysis and prostatectomy specimens. RESULTS Histopathology revealed ECE in 15 of the 222 regions (10 of 37 patients) and SVI in 8 of 74 potential regions (5 of 37 patients). The sensitivity, specificity, and accuracy in detecting ECE for reader A/B were 93%/67%, 92%/95% and 92%/93% per region and 90%/80%, 74%/82% and 78%/81% per patient, respectively. The corresponding values for the detection of SVI were 80%/100%, 96%/99% and 95%/97%, respectively. CONCLUSION Endorectal 3 T MRI is a highly reliable noninvasive technique for the local staging of PCa. KEY POINTS ► Endorectal 3 T MRI provided high accuracy for the local staging of prostate cancer. ► The sensitivity in detecting extracapsular tumor growth per patient was 80% or higher. ► The specificity in detecting extracapsular extension (pT3 stage) was good.


Korean Journal of Radiology | 2013

Bilateral Hypertrophic Olivary Degeneration in Wilson Disease

J Otto; Peter Guenther; Karl-Titus Hoffmann

Hypertrophic olivary degeneration resulting from lesions of the dento-rubro-olivary pathway, also called Guillain-Mollaret-triangle, has been described previously in a number of cases. Reports about bilateral hypertrophic olivary degeneration of the inferior olivary nuclei are very limited, and the magnetic resonance imaging findings of hypertrophic olivary degeneration in Wilson disease have not yet been described to the best of our knowledge. Herein, we present the first report of bilateral hypertrophic olivary degeneration diagnosed by magnetic resonance imaging in a patient suffering from Wilson disease.


Journal of Magnetic Resonance Imaging | 2013

Novel technique for MR elastography of the prostate using a modified standard endorectal coil as actuator.

G Thörmer; Martin Reiss-Zimmermann; J Otto; Karl-Titus Hoffmann; Michael Moche; Nikita Garnov; Thomas Kahn; Harald Busse

To present a novel method for MR elastography (MRE) of the prostate at 3 Tesla using a modified endorectal imaging coil.


Pediatric Radiology | 2015

Magnetic resonance imaging of a phakomatous choristoma.

J Otto; Ina Sorge; Lars-Christian Horn; Ina Sterker

Phakomatous choristoma is a rare congenital benign tumour in the inferomedial eyelid or orbit that is thought to be of lenticular anlage origin. We describe the MRI findings in an infant boy with histopathologically confirmed phakomatous choristoma.


European Radiology | 2012

Diagnostic value of ADC in patients with prostate cancer: influence of the choice of b values.

G Thörmer; J Otto; Martin Reiss-Zimmermann; Matthias Seiwerts; Michael Moche; Nikita Garnov; Toni Franz; Minh Do; Jens-Uwe Stolzenburg; Lars-Christian Horn; Thomas Kahn; Harald Busse


Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2016

MR-gesteuerte Interventionen an der Prostata

J Otto; A Schaudinn; N Linder; R Ganzer; Jens-Uwe Stolzenburg; Lars-Christian Horn; Nikita Garnov; Thomas Kahn; Michael Moche; Harald Busse


Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2016

Prospektiver Vergleich von Bildqualität und Tumordetektion anhand der 3-T Prostata-MRT mit und ohne Verwendung einer Endorektalspule

J Otto; M Reiss-Zimmermann; G Thörmer; A Schaudinn; Nikita Garnov; Jens-Uwe Stolzenburg; Lars-Christian Horn; Michael Moche; Thomas Kahn; Harald Busse


Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2015

Prostatakarzinom: Radiologische Intervention

J Otto; A Schaudinn; N Linder; Nikita Garnov; Jens-Uwe Stolzenburg; Michael Moche; Thomas Kahn; Harald Busse

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Mh Do

Leipzig University

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