Literature DB >> 19002056

A novel method for analyzing DSCE-images with an application to tumor grading.

Johannes Slotboom1, Ralph Schaer, Christoph Ozdoba, Michael Reinert, Istvan Vajtai, Marwan El-Koussy, Claus Kiefer, Martin Zbinden, Gerhard Schroth, Roland Wiest.   

Abstract

OBJECTIVES: (a) The development of a novel analysis method, named Dynamic pixel intensity Histogram Analysis (DHA) allowing for pixel intensity-histogram-model-parameter fitting of arbitrary-shaped regions defined in dynamic-susceptibility-contrast-enhanced (DSCE) difference MR-image time-series, and (b) its prospective application and evaluation for glioma grading.
MATERIALS AND METHODS: For each difference-image, pixel intensity histograms of arbitrary-shaped ROIs were computed and fitted using the Levenberg-Marquardt algorithm. Time-dependent histogram center-position- and width-parameters are computed during bolus-passage. The method was applied to 25 patients with low and high grade gliomas.
RESULTS: During bolus outflow-time, histogram-center-position-parameter and histogram-width-parameter reach highest significance levels and discriminate gliomas of different grades. The histogram center-position-parameter discriminated grade-II from grade-III, grade-II from grade-IV but not grade-III from grade-IV. The observed histogram width-parameters discriminated grade-II from grade-III (P < 0.00022), grade-II from grade-IV (P <8.3 10), and grade-III from grade-IV (P < 0.00063).
CONCLUSIONS: DHA is a easy-to-use method for glioma grading; the histogram width parameter is best indicator for histologic grade.

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Year:  2008        PMID: 19002056     DOI: 10.1097/RLI.0b013e3181893605

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  8 in total

1.  High resolution ultra high field magnetic resonance imaging of glioma microvascularity and hypoxia using ultra-small particles of iron oxide.

Authors:  Gregory A Christoforidis; Ming Yang; Marinos S Kontzialis; Douglas G Larson; Amir Abduljalil; Michelle Basso; Weilian Yang; Abhik Ray-Chaudhury; Johannes Heverhagen; Michael V Knopp; Rolf F Barth
Journal:  Invest Radiol       Date:  2009-07       Impact factor: 6.016

2.  Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas.

Authors:  Sofie Van Cauter; Frederik De Keyzer; Diana M Sima; Anca Croitor Sava; Felice D'Arco; Jelle Veraart; Ronald R Peeters; Alexander Leemans; Stefaan Van Gool; Guido Wilms; Philippe Demaerel; Sabine Van Huffel; Stefan Sunaert; Uwe Himmelreich
Journal:  Neuro Oncol       Date:  2014-07       Impact factor: 12.300

3.  Dynamic contrast-enhanced magnetic resonance imaging can assess vascularity within fracture non-unions and predicts good outcome.

Authors:  Oliver Schoierer; Konstantin Bloess; Daniel Bender; Iris Burkholder; Hans-Ulrich Kauczor; Gerhard Schmidmaier; Marc-André Weber
Journal:  Eur Radiol       Date:  2013-10-22       Impact factor: 5.315

4.  Atorvastatin added to interferon β for relapsing multiple sclerosis: a randomized controlled trial.

Authors:  Christian Philipp Kamm; Marwan El-Koussy; Sebastian Humpert; Oliver Findling; Ferdinand von Bredow; Yuliya Burren; Guido Schwegler; Dagmar Schött; Filippo Donati; Martin Müller; Norbert Goebels; Felix Müller; Johannes Slotboom; Barbara Tettenborn; Ludwig Kappos; Yvonne Naegelin; Heinrich Paul Mattle
Journal:  J Neurol       Date:  2012-05-09       Impact factor: 4.849

5.  Characterization of microcirculation in multiple sclerosis lesions by dynamic texture parameter analysis (DTPA).

Authors:  Rajeev Kumar Verma; Johannes Slotboom; Mirjam Rachel Heldner; Mirjam Rahel Heldner; Frauke Kellner-Weldon; Raimund Kottke; Christoph Ozdoba; Christian Weisstanner; Christian Philipp Kamm; Roland Wiest
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

6.  Atorvastatin added to interferon beta for relapsing multiple sclerosis: 12-month treatment extension of the randomized multicenter SWABIMS trial.

Authors:  Christian P Kamm; Marwan El-Koussy; Sebastian Humpert; Oliver Findling; Yuliya Burren; Guido Schwegler; Filippo Donati; Martin Müller; Felix Müller; Johannes Slotboom; Ludwig Kappos; Yvonne Naegelin; Heinrich P Mattle
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

7.  Multi-modal glioblastoma segmentation: man versus machine.

Authors:  Nicole Porz; Stefan Bauer; Alessia Pica; Philippe Schucht; Jürgen Beck; Rajeev Kumar Verma; Johannes Slotboom; Mauricio Reyes; Roland Wiest
Journal:  PLoS One       Date:  2014-05-07       Impact factor: 3.240

8.  Characterization of Enhancing MS Lesions by Dynamic Texture Parameter Analysis of Dynamic Susceptibility Perfusion Imaging.

Authors:  Rajeev K Verma; Johannes Slotboom; Cäcilia Locher; Mirjam R Heldner; Christian Weisstanner; Eugenio Abela; Frauke Kellner-Weldon; Martin Zbinden; Christian P Kamm; Roland Wiest
Journal:  Biomed Res Int       Date:  2016-01-13       Impact factor: 3.411

  8 in total

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