Literature DB >> 21330401

Apparent diffusion coefficient histogram analysis stratifies progression-free survival in newly diagnosed bevacizumab-treated glioblastoma.

W B Pope1, A Lai, R Mehta, H J Kim, J Qiao, J R Young, X Xue, J Goldin, M S Brown, P L Nghiemphu, A Tran, T F Cloughesy.   

Abstract

BACKGROUND AND
PURPOSE: Currently it is difficult to predict tumor response to anti-angiogenic therapy in individual patients. Our aim was to determine if ADC histogram analysis can stratify progression-free and overall survival in patients with newly diagnosed GBM treated "up-front" (ie, before tumor recurrence) with bevacizumab.
MATERIALS AND METHODS: Up-front bevacizumab-treated and control patients (n = 59 and 62, respectively) with newly diagnosed GBM were analyzed by using an ADC histogram approach based on enhancing tumor. Progression-free and overall survival was determined by using Cox proportional HRs and the Kaplan-Meier method with logrank and Wilcoxon tests.
RESULTS: For up-front bevacizumab-treated patients, lower ADC(L) was associated with significantly longer progression-free survival (median, 459 days for ADC(L) < 1200 versus 315 days for ADC(L) ≥ 1200 10(-6)mm(2)/s; P = .008, logrank test) and trended with longer overall survival (581 versus 429 days, P = .055). ADC values did not stratify progression-free or overall survival for patients in the control group (P = .92 and P = .22, respectively). Tumors with MGMT promoter methylation had lower ADC(L) values than unmethylated tumors (mean, 1071 versus 1183 10(-6)mm(2)/s; P = .01, 2-group t test).
CONCLUSIONS: Pretreatment ADC histogram analysis can stratify progression-free survival in bevacizumab-treated patients with newly diagnosed GBM. Lower ADC is associated with tumor MGMT promoter methylation, which may, in part, account for the favorable outcome associated with low ADC(L) tumors.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21330401      PMCID: PMC7965548          DOI: 10.3174/ajnr.A2385

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  28 in total

1.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

2.  Response criteria for phase II studies of supratentorial malignant glioma.

Authors:  D R Macdonald; T L Cascino; S C Schold; J G Cairncross
Journal:  J Clin Oncol       Date:  1990-07       Impact factor: 44.544

3.  Acquired resistance to temozolomide in glioma cell lines: molecular mechanisms and potential translational applications.

Authors:  Jihong Zhang; Malcolm F G Stevens; Charles A Laughton; Srinivasan Madhusudan; Tracey D Bradshaw
Journal:  Oncology       Date:  2010-03-31       Impact factor: 2.935

4.  Changes of the O6-methylguanine-DNA methyltransferase promoter methylation and MGMT protein expression after adjuvant treatment in glioblastoma.

Authors:  Tae-Young Jung; Shin Jung; Kyung-Sub Moon; In-Young Kim; Sam-Suk Kang; Young-Hee Kim; Chang-Soo Park; Kyung-Hwa Lee
Journal:  Oncol Rep       Date:  2010-05       Impact factor: 3.906

5.  Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity.

Authors:  Benjamin M Ellingson; Mark G Malkin; Scott D Rand; Jennifer M Connelly; Carolyn Quinsey; Pete S LaViolette; Devyani P Bedekar; Kathleen M Schmainda
Journal:  J Magn Reson Imaging       Date:  2010-03       Impact factor: 4.813

6.  Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis.

Authors:  Shuichi Higano; Xia Yun; Toshihiro Kumabe; Mika Watanabe; Shunji Mugikura; Atsushi Umetsu; Akihiro Sato; Takayuki Yamada; Shoki Takahashi
Journal:  Radiology       Date:  2006-10-10       Impact factor: 11.105

7.  Glucocorticoid treatment of brain tumor patients: changes of apparent diffusion coefficient values measured by MR diffusion imaging.

Authors:  Sosuke Minamikawa; Kinuko Kono; Keiko Nakayama; Hiroyuki Yokote; Takahiko Tashiro; Akimasa Nishio; Mitsuhiro Hara; Yuichi Inoue
Journal:  Neuroradiology       Date:  2004-10       Impact factor: 2.804

8.  Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume.

Authors:  Joonmi Oh; Roland G Henry; Andrea Pirzkall; Ying Lu; Xiaojuan Li; Isabelle Catalaa; Susan Chang; William P Dillon; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2004-05       Impact factor: 4.813

9.  Phase II pilot study of bevacizumab in combination with temozolomide and regional radiation therapy for up-front treatment of patients with newly diagnosed glioblastoma multiforme: interim analysis of safety and tolerability.

Authors:  Albert Lai; Emese Filka; Bruce McGibbon; Phioanh Leia Nghiemphu; Carrie Graham; William H Yong; Paul Mischel; Linda M Liau; Marvin Bergsneider; Whitney Pope; Michael Selch; Tim Cloughesy
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-03-20       Impact factor: 7.038

10.  An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging.

Authors:  Sylvia Drabycz; Gloria Roldán; Paula de Robles; Daniel Adler; John B McIntyre; Anthony M Magliocco; J Gregory Cairncross; J Ross Mitchell
Journal:  Neuroimage       Date:  2009-09-28       Impact factor: 6.556

View more
  96 in total

Review 1.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

2.  Apparent diffusion coefficient histogram metrics correlate with survival in diffuse intrinsic pontine glioma: a report from the Pediatric Brain Tumor Consortium.

Authors:  Tina Young Poussaint; Sridhar Vajapeyam; Kelsey I Ricci; Ashok Panigrahy; Mehmet Kocak; Larry E Kun; James M Boyett; Ian F Pollack; Maryam Fouladi
Journal:  Neuro Oncol       Date:  2015-10-20       Impact factor: 12.300

Review 3.  Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging.

Authors:  James R Fink; Mark Muzi; Melinda Peck; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2015-08-20       Impact factor: 10.057

4.  A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Authors:  A Hilario; J M Sepulveda; A Perez-Nuñez; E Salvador; J M Millan; A Hernandez-Lain; V Rodriguez-Gonzalez; A Lagares; A Ramos
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-23       Impact factor: 3.825

5.  Investigation of the diffusion abnormality index as a new imaging biomarker for early assessment of brain tumor response to radiation therapy.

Authors:  Reza Farjam; Christina I Tsien; Felix Y Feng; Diana Gomez-Hassan; James A Hayman; Theodore S Lawrence; Yue Cao
Journal:  Neuro Oncol       Date:  2013-12-09       Impact factor: 12.300

6.  Vascular change measured with independent component analysis of dynamic susceptibility contrast MRI predicts bevacizumab response in high-grade glioma.

Authors:  Peter S LaViolette; Alex D Cohen; Melissa A Prah; Scott D Rand; Jennifer Connelly; Mark G Malkin; Wade M Mueller; Kathleen M Schmainda
Journal:  Neuro Oncol       Date:  2013-02-03       Impact factor: 12.300

7.  Combined analysis of O6-methylguanine-DNA methyltransferase protein expression and promoter methylation provides optimized prognostication of glioblastoma outcome.

Authors:  Shadi Lalezari; Arthur P Chou; Anh Tran; Orestes E Solis; Negar Khanlou; Weidong Chen; Sichen Li; Jose A Carrillo; Reshmi Chowdhury; Julia Selfridge; Desiree E Sanchez; Ryan W Wilson; Mira Zurayk; Jonathan Lalezari; Jerry J Lou; Laurel Ormiston; Karen Ancheta; Robert Hanna; Paul Miller; David Piccioni; Benjamin M Ellingson; Colin Buchanan; Paul S Mischel; Phioanh L Nghiemphu; Richard Green; He-Jing Wang; Whitney B Pope; Linda M Liau; Robert M Elashoff; Timothy F Cloughesy; William H Yong; Albert Lai
Journal:  Neuro Oncol       Date:  2013-01-17       Impact factor: 12.300

8.  Demonstration of DCE-MRI as an early pharmacodynamic biomarker of response to VEGF Trap in glioblastoma.

Authors:  Allison F O'Neill; Lei Qin; Patrick Y Wen; John F de Groot; Annick D Van den Abbeele; Jeffrey T Yap
Journal:  J Neurooncol       Date:  2016-08-30       Impact factor: 4.130

9.  Apparent diffusion coefficient as a prognostic biomarker of upper urinary tract cancer: a preliminary report.

Authors:  Soichiro Yoshida; Shuichiro Kobayashi; Fumitaka Koga; Junichiro Ishioka; Chikako Ishii; Hiroshi Tanaka; Yasukazu Nakanishi; Yoh Matsuoka; Noboru Numao; Kazutaka Saito; Hitoshi Masuda; Yasuhisa Fujii; Kazunori Kihara
Journal:  Eur Radiol       Date:  2013-03-15       Impact factor: 5.315

10.  Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab.

Authors:  Rifaquat Rahman; Alhafidz Hamdan; Rebecca Zweifler; Han Jiang; Andrew D Norden; David A Reardon; Srinivasan Mukundan; Patrick Y Wen; Raymond Y Huang
Journal:  J Neurooncol       Date:  2014-05-08       Impact factor: 4.130

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.