Literature DB >> 26518541

Prognostic value of combined visualization of MR diffusion and perfusion maps in glioblastoma.

Katerina Deike1, Benedikt Wiestler2,3, Markus Graf4, Caroline Reimer5, Ralf O Floca6, Philipp Bäumer7, Philipp Kickingereder8, Sabine Heiland9, Heinz-Peter Schlemmer10, Wolfgang Wick11,12, Martin Bendszus13, Alexander Radbruch14,15.   

Abstract

We analyzed whether the combined visualization of decreased apparent diffusion coefficient (ADC) values and increased cerebral blood volume (CBV) in perfusion imaging can identify prognosis-related growth patterns in patients with newly diagnosed glioblastoma. Sixty-five consecutive patients were examined with diffusion and dynamic susceptibility-weighted contrast-enhanced perfusion weighted MRI. ADC and CBV maps were co-registered on the T1-w image and a region of interest (ROI) was manually delineated encompassing the enhancing lesion. Within this ROI pixels with ADC values <the 30th percentile (ADCmin), pixels with CBV values >the 70th percentile (CBVmax) and the intersection of pixels with ADCmin and CBVmax were automatically calculated and visualized. Initially, all tumors with a mean intersection greater than the upper quartile of the normally distributed mean intersection of all patients were subsumed to the first growth pattern termed big intersection (BI). Subsequently, the remaining tumors' growth patterns were categorized depending on the qualitative representation of ADCmin, CBVmax and their intersection. Log-rank test exposed a significantly longer overall survival of BI (n = 16) compared to non-BI group (n = 49) (p = 0.0057). Thirty-one, four and 14 patients of the non-BI group were classified as predominant ADC-, CBV- and mixed growth group, respectively. In a multivariate Cox regression model, the BI-, CBV- and mixed groups had significantly lower adjusted hazard ratios (p-value, α(Bonferroni) < 0.006) when compared to the reference group ADC: 0.29 (0.0027), 0.11 (0.038) and 0.33 (0.0059). Our study provides evidence that the combination of diffusion and perfusion imaging allows visualization of different glioblastoma growth patterns that are associated with prognosis. A possible biological hypothesis for this finding could be the interpretation of the ADCmin fraction as the invasion-front of tumor cells while the CBVmax fraction might represent the vascular rich tumor border that is "trailing behind" the invasion-front in the ADC group.

Entities:  

Keywords:  DWI (128); Glioblastoma; MRI (120); Primary brain tumor (214)

Mesh:

Year:  2015        PMID: 26518541     DOI: 10.1007/s11060-015-1982-z

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  28 in total

1.  Comment to: Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma: pitfalls in perfusion MRI in brain tumors : Tsien C, Galbán CJ, Chenevert TL, Johnson TD, Hamstra DA, Sundgren PC, Junck L, Meyer CR, Rehemtulla A, Lawrence T, Ross BD. J Clin Oncol. 2010;28:2293-9.

Authors:  A Radbruch; M Bendszus; W Wick; S Heiland
Journal:  Clin Neuroradiol       Date:  2010-08       Impact factor: 3.649

Review 2.  Malignant gliomas in adults.

Authors:  Patrick Y Wen; Santosh Kesari
Journal:  N Engl J Med       Date:  2008-07-31       Impact factor: 91.245

3.  Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations.

Authors:  C R Meyer; J L Boes; B Kim; P H Bland; K R Zasadny; P V Kison; K Koral; K A Frey; R L Wahl
Journal:  Med Image Anal       Date:  1997-04       Impact factor: 8.545

4.  Multimodality image registration by maximization of mutual information.

Authors:  F Maes; A Collignon; D Vandermeulen; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

Review 5.  Cell adhesion and drug resistance in cancer.

Authors:  B St Croix; R S Kerbel
Journal:  Curr Opin Oncol       Date:  1997-11       Impact factor: 3.645

6.  Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics.

Authors:  Andrea Sottoriva; Inmaculada Spiteri; Sara G M Piccirillo; Anestis Touloumis; V Peter Collins; John C Marioni; Christina Curtis; Colin Watts; Simon Tavaré
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-14       Impact factor: 11.205

7.  Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?

Authors:  Marc-André Weber; Marcus Henze; Jochen Tüttenberg; Bram Stieltjes; Marco Meissner; Fabian Zimmer; Iris Burkholder; Alexander Kroll; Stephanie E Combs; Marlies Vogt-Schaden; Frederik L Giesel; Saida Zoubaa; Uwe Haberkorn; Hans-Ulrich Kauczor; Marco Essig
Journal:  Invest Radiol       Date:  2010-12       Impact factor: 6.016

8.  Hypoxia-inducible factor 1 and VEGF upregulate CXCR4 in glioblastoma: implications for angiogenesis and glioma cell invasion.

Authors:  David Zagzag; Yevgeniy Lukyanov; Li Lan; M Aktar Ali; Mine Esencay; Olga Mendez; Herman Yee; Evelyn B Voura; Elizabeth W Newcomb
Journal:  Lab Invest       Date:  2006-10-30       Impact factor: 5.662

9.  Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial.

Authors:  Roger Stupp; Monika E Hegi; Warren P Mason; Martin J van den Bent; Martin J B Taphoorn; Robert C Janzer; Samuel K Ludwin; Anouk Allgeier; Barbara Fisher; Karl Belanger; Peter Hau; Alba A Brandes; Johanna Gijtenbeek; Christine Marosi; Charles J Vecht; Karima Mokhtari; Pieter Wesseling; Salvador Villa; Elizabeth Eisenhauer; Thierry Gorlia; Michael Weller; Denis Lacombe; J Gregory Cairncross; René-Olivier Mirimanoff
Journal:  Lancet Oncol       Date:  2009-03-09       Impact factor: 41.316

10.  Long-term survival in primary glioblastoma with versus without isocitrate dehydrogenase mutations.

Authors:  Christian Hartmann; Bettina Hentschel; Matthias Simon; Manfred Westphal; Gabriele Schackert; Jörg C Tonn; Markus Loeffler; Guido Reifenberger; Torsten Pietsch; Andreas von Deimling; Michael Weller
Journal:  Clin Cancer Res       Date:  2013-08-05       Impact factor: 13.801

View more
  8 in total

1.  Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.

Authors:  Sina Burth; Philipp Kickingereder; Oliver Eidel; Diana Tichy; David Bonekamp; Lukas Weberling; Antje Wick; Sarah Löw; Anne Hertenstein; Martha Nowosielski; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  Neuro Oncol       Date:  2016-06-13       Impact factor: 12.300

2.  3D Pseudocontinuous Arterial Spin-Labeling MR Imaging in the Preoperative Evaluation of Gliomas.

Authors:  Q Zeng; B Jiang; F Shi; C Ling; F Dong; J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2017-07-20       Impact factor: 3.825

3.  Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation?

Authors:  Jonathan Khalifa; Fatima Tensaouti; Jean-Albert Lotterie; Isabelle Catalaa; Leonor Chaltiel; Alexandra Benouaich-Amiel; Carlos Gomez-Roca; Georges Noël; Gilles Truc; Patrice Péran; Isabelle Berry; Marie-Pierre Sunyach; Marie Charissoux; Corinne Johnson; Elizabeth Cohen-Jonathan Moyal; Anne Laprie
Journal:  J Neurooncol       Date:  2016-08-08       Impact factor: 4.130

4.  Arterial spin labeling: Pathologically proven superiority over conventional MRI for detection of high-grade glioma progression after treatment.

Authors:  Eric Nyberg; Justin Honce; Bette K Kleinschmidt-DeMasters; Brian Shukri; Sarah Kreidler; Lidia Nagae
Journal:  Neuroradiol J       Date:  2016-08-19

5.  Application of arterial spin labeling perfusion MRI to differentiate benign from malignant intracranial meningiomas.

Authors:  Xin J Qiao; Hyun Grace Kim; Danny J J Wang; Noriko Salamon; Michael Linetsky; Ali Sepahdari; Benjamin M Ellingson; Whitney B Pope
Journal:  Eur J Radiol       Date:  2017-10-07       Impact factor: 3.528

6.  Assessing the predictability of IDH mutation and MGMT methylation status in glioma patients using relaxation-compensated multipool CEST MRI at 7.0 T.

Authors:  Daniel Paech; Johannes Windschuh; Johanna Oberhollenzer; Constantin Dreher; Felix Sahm; Jan-Eric Meissner; Steffen Goerke; Patrick Schuenke; Moritz Zaiss; Sebastian Regnery; Sebastian Bickelhaupt; Philipp Bäumer; Martin Bendszus; Wolfgang Wick; Andreas Unterberg; Peter Bachert; Mark Edward Ladd; Heinz-Peter Schlemmer; Alexander Radbruch
Journal:  Neuro Oncol       Date:  2018-11-12       Impact factor: 13.029

7.  Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.

Authors:  Caroline Reimer; Katerina Deike; Markus Graf; Peter Reimer; Benedikt Wiestler; Ralf Omar Floca; Philipp Kickingereder; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

8.  Dataset of voxelwise correlated signal values of ADC, rCBV and FAP-specific PET of 13 Glioblastoma patients.

Authors:  Manuel Röhrich; Lisa Loi; Ralf Floca; Uwe Haberkorn; Daniel Paech
Journal:  Data Brief       Date:  2020-05-15
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.