Literature DB >> 26294653

Independent Poor Prognostic Factors for True Progression after Radiation Therapy and Concomitant Temozolomide in Patients with Glioblastoma: Subependymal Enhancement and Low ADC Value.

R-E Yoo1, S H Choi2, T M Kim3, S-H Lee4, C-K Park5, S-H Park6, I H Kim7, T J Yun4, J-H Kim4, C H Sohn8.   

Abstract

BACKGROUND AND
PURPOSE: Subependymal enhancement and DWI have been reported to be useful MR imaging markers for identifying true progression. Our aim was to determine whether the subependymal enhancement pattern and ADC can differentiate true progression from pseudoprogression in patients with glioblastoma multiforme treated with concurrent chemoradiotherapy by using temozolomide.
MATERIALS AND METHODS: Forty-two patients with glioblastoma multiforme with newly developed or enlarged enhancing lesions on the first follow-up MR images obtained within 2 months of concurrent chemoradiotherapy completion were included. Subependymal enhancement was analyzed for the presence, location, and pattern (local or distant relative to enhancing lesions). The mean ADC value and the fifth percentile of the cumulative ADC histogram were determined. A multiple logistic regression analysis was performed to identify independent factors associated with true progression.
RESULTS: Distant subependymal enhancement (ie, extending >1 cm or isolated from the enhancing lesion) was significantly more common in true progression (n = 24) than in pseudoprogression (n = 18) (P = .042). The fifth percentile of the cumulative ADC histogram was significantly lower in true progression than in pseudoprogression (P = .014). Both the distant subependymal enhancement and the fifth percentile of the cumulative ADC histogram were independent factors associated with true progression (P = .041 and P = .033, respectively). Sensitivity and specificity for the diagnosis of true progression were 83% and 67%, respectively, by using both factors.
CONCLUSIONS: Both the distant subependymal enhancement and the fifth percentile of the cumulative ADC histogram were significant independent factors predictive of true progression.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26294653      PMCID: PMC7965024          DOI: 10.3174/ajnr.A4401

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


  32 in total

1.  Steroid-induced CT changes in patients with recurrent malignant glioma.

Authors:  J G Cairncross; D R Macdonald; J H Pexman; F J Ives
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2.  Evaluating methods for classifying expression data.

Authors:  Michael Z Man; Greg Dyson; Kjell Johnson; Birong Liao
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3.  Diffusion-weighted MR imaging for the differentiation of true progression from pseudoprogression following concomitant radiotherapy with temozolomide in patients with newly diagnosed high-grade gliomas.

Authors:  Woong Jae Lee; Seung Hong Choi; Chul-Kee Park; Kyung Sik Yi; Tae Min Kim; Se-Hoon Lee; Ji-Hoon Kim; Chul-Ho Sohn; Sung-Hye Park; Il Han Kim
Journal:  Acad Radiol       Date:  2012-08-11       Impact factor: 3.173

Review 4.  Clinical and practical considerations for the use of intensity-modulated radiotherapy and image guidance in neuro-oncology.

Authors:  N G Burnet; R Jena; K E Burton; G S J Tudor; J E Scaife; F Harris; S J Jefferies
Journal:  Clin Oncol (R Coll Radiol)       Date:  2014-05-17       Impact factor: 4.126

5.  Hypofractionated intensity modulated radiotherapy with temozolomide in newly diagnosed glioblastoma multiforme.

Authors:  Mario Ammirati; Silky Chotai; Herbert Newton; Tariq Lamki; Lai Wei; John Grecula
Journal:  J Clin Neurosci       Date:  2013-10-03       Impact factor: 1.961

6.  Potential utility of conventional MRI signs in diagnosing pseudoprogression in glioblastoma.

Authors:  R J Young; A Gupta; A D Shah; J J Graber; Z Zhang; W Shi; A I Holodny; A M P Omuro
Journal:  Neurology       Date:  2011-05-31       Impact factor: 9.910

7.  Transient postictal MRI changes in patients with brain tumors may mimic disease progression.

Authors:  Michael A Finn; Deborah T Blumenthal; Karen L Salzman; Randy L Jensen
Journal:  Surg Neurol       Date:  2006-11-03

8.  Distinction between glioma progression and post-radiation change by combined physiologic MR imaging.

Authors:  Eiji Matsusue; James R Fink; Jason K Rockhill; Toshihide Ogawa; Kenneth R Maravilla
Journal:  Neuroradiology       Date:  2009-10-16       Impact factor: 2.804

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Authors:  Patrick A Hein; Clifford J Eskey; Jeffrey F Dunn; Eugen B Hug
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

10.  Patterns of recurrence of glioblastoma multiforme after external irradiation followed by implant boost.

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Journal:  Int J Radiat Oncol Biol Phys       Date:  1994-07-01       Impact factor: 7.038

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  12 in total

Review 1.  Multiparametric MRI as a potential surrogate endpoint for decision-making in early treatment response following concurrent chemoradiotherapy in patients with newly diagnosed glioblastoma: a systematic review and meta-analysis.

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Journal:  Eur Radiol       Date:  2018-01-26       Impact factor: 5.315

2.  Meta-analysis of diffusion-weighted imaging for predicting locoregional failure of chemoradiotherapy in patients with head and neck squamous cell carcinoma.

Authors:  Qiming Zhou; Fangfang Zeng; Yao Ding; Clifton D Fuller; Jihong Wang
Journal:  Mol Clin Oncol       Date:  2017-11-15

Review 3.  An Update on the Approach to the Imaging of Brain Tumors.

Authors:  Katherine M Mullen; Raymond Y Huang
Journal:  Curr Neurol Neurosci Rep       Date:  2017-07       Impact factor: 5.081

4.  Neuroimaging classification of progression patterns in glioblastoma: a systematic review.

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Journal:  J Neurooncol       Date:  2018-03-30       Impact factor: 4.130

5.  Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI.

Authors:  Ka Young Shim; Sung Won Chung; Jae Hak Jeong; Inpyeong Hwang; Chul-Kee Park; Tae Min Kim; Sung-Hye Park; Jae Kyung Won; Joo Ho Lee; Soon-Tae Lee; Roh-Eul Yoo; Koung Mi Kang; Tae Jin Yun; Ji-Hoon Kim; Chul-Ho Sohn; Kyu Sung Choi; Seung Hong Choi
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

6.  Conventional MRI Criteria to Differentiate Progressive Disease From Treatment-Induced Effects in High-Grade (WHO Grade 3-4) Gliomas.

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Journal:  Neurology       Date:  2022-04-18       Impact factor: 11.800

Review 7.  Imaging in neuro-oncology.

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8.  Pseudoprogression of brain tumors.

Authors:  Stefanie C Thust; Martin J van den Bent; Marion Smits
Journal:  J Magn Reson Imaging       Date:  2018-05-07       Impact factor: 4.813

9.  The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer.

Authors:  Jingjing Chen; Hui Hua; Jing Pang; Xianglong Shi; Weiqun Bi; Yingduan Li; Wenjian Xu
Journal:  Open Life Sci       Date:  2018-09-14       Impact factor: 0.938

10.  Evaluation of pseudoprogression in patients with glioblastoma.

Authors:  Michael Jonathan Kucharczyk; Sameer Parpia; Anthony Whitton; Jeffrey Noah Greenspoon
Journal:  Neurooncol Pract       Date:  2016-11-04
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