Literature DB >> 29217742

Diagnostic Accuracy of Centrally Restricted Diffusion in the Differentiation of Treatment-Related Necrosis from Tumor Recurrence in High-Grade Gliomas.

N Zakhari1, M S Taccone2, C Torres1, S Chakraborty1, J Sinclair2, J Woulfe3, G H Jansen3, T B Nguyen4.   

Abstract

BACKGROUND AND
PURPOSE: Centrally restricted diffusion has been demonstrated in recurrent high-grade gliomas treated with bevacizumab. Our purpose was to assess the accuracy of centrally restricted diffusion in the diagnosis of radiation necrosis in high-grade gliomas not treated with bevacizumab.
MATERIALS AND METHODS: In this prospective study, we enrolled patients with high-grade gliomas who developed a new ring-enhancing necrotic lesion and who underwent re-resection. The presence of a centrally restricted diffusion within the ring-enhancing lesion was assessed visually on diffusion trace images and by ADC measurements on 3T preoperative diffusion tensor examination. The percentage of tumor recurrence and radiation necrosis in each surgical specimen was defined histopathologically. The association between centrally restricted diffusion and radiation necrosis was assessed using the Fisher exact test. Differences in ADC and the ADC ratio between the groups were assessed via the Mann-Whitney U test, and receiver operating characteristic curve analysis was performed.
RESULTS: Seventeen patients had re-resected ring-enhancing lesions: 8 cases of radiation necrosis and 9 cases of tumor recurrence. There was significant association between centrally restricted diffusion by visual assessment and radiation necrosis (P = .015) with a sensitivity of 75% and a specificity of 88.9%, a positive predictive value 85.7%, and a negative predictive value of 80% for the diagnosis of radiation necrosis. There was a statistically significant difference in the ADC and ADC ratio between radiation necrosis and tumor recurrence (P = .027).
CONCLUSIONS: The presence of centrally restricted diffusion in a new ring-enhancing lesion might indicate radiation necrosis rather than tumor recurrence in high-grade gliomas previously treated with standard chemoradiation without bevacizumab.
© 2018 by American Journal of Neuroradiology.

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Year:  2017        PMID: 29217742      PMCID: PMC7410592          DOI: 10.3174/ajnr.A5485

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


  22 in total

1.  Radiation necrosis versus glioma recurrence: conventional MR imaging clues to diagnosis.

Authors:  Mark E Mullins; Glenn D Barest; Pamela W Schaefer; Fred H Hochberg; R Gilberto Gonzalez; Michael H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

2.  Diagnostic accuracy of diffusion MRI with quantitative ADC measurements in differentiating glioma recurrence from radiation necrosis.

Authors:  Hui Zhang; Li Ma; Cheng Shu; Yu-Bo Wang; Lian-Qiang Dong
Journal:  J Neurol Sci       Date:  2015-02-28       Impact factor: 3.181

3.  Evaluation of radiation necrosis and malignant glioma in rat models using diffusion tensor MR imaging.

Authors:  Silun Wang; Yifei Chen; Bachchu Lal; Eric Ford; Erik Tryggestad; Michael Armour; Kun Yan; John Laterra; Jinyuan Zhou
Journal:  J Neurooncol       Date:  2011-09-27       Impact factor: 4.130

4.  Progressing Bevacizumab-Induced Diffusion Restriction Is Associated with Coagulative Necrosis Surrounded by Viable Tumor and Decreased Overall Survival in Patients with Recurrent Glioblastoma.

Authors:  H S Nguyen; N Milbach; S L Hurrell; E Cochran; J Connelly; J A Bovi; C J Schultz; W M Mueller; S D Rand; K M Schmainda; P S LaViolette
Journal:  AJNR Am J Neuroradiol       Date:  2016-08-04       Impact factor: 3.825

5.  Diffusion-weighted imaging of radiation-induced brain injury for differentiation from tumor recurrence.

Authors:  Chiaki Asao; Yukunori Korogi; Mika Kitajima; Toshinori Hirai; Yuji Baba; Keishi Makino; Masato Kochi; Shoji Morishita; Yasuyuki Yamashita
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

6.  Radiation necrosis in the brain: imaging features and differentiation from tumor recurrence.

Authors:  Ritu Shah; Surjith Vattoth; Rojymon Jacob; Fathima Fijula Palot Manzil; Janis P O'Malley; Peyman Borghei; Bhavik N Patel; Joel K Curé
Journal:  Radiographics       Date:  2012 Sep-Oct       Impact factor: 5.333

Review 7.  Challenges with the diagnosis and treatment of cerebral radiation necrosis.

Authors:  Samuel T Chao; Manmeet S Ahluwalia; Gene H Barnett; Glen H J Stevens; Erin S Murphy; Abigail L Stockham; Kevin Shiue; John H Suh
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-06-19       Impact factor: 7.038

8.  Diffusion-weighted magnetic resonance imaging in radiation-induced cerebral necrosis. Apparent diffusion coefficient in lesion components.

Authors:  Yu-leung Chan; David K W Yeung; Sing-fai Leung; Po-nin Chan
Journal:  J Comput Assist Tomogr       Date:  2003 Sep-Oct       Impact factor: 1.826

9.  Bevacizumab-induced diffusion-restricted lesions in malignant glioma patients.

Authors:  Johannes Rieger; Oliver Bähr; Klaus Müller; Kea Franz; Joachim Steinbach; Elke Hattingen
Journal:  J Neurooncol       Date:  2009-12-25       Impact factor: 4.130

10.  Restriction-Spectrum Imaging of Bevacizumab-Related Necrosis in a Patient with GBM.

Authors:  Nikdokht Farid; Daniela B Almeida-Freitas; Nathan S White; Carrie R McDonald; Karra A Muller; Scott R Vandenberg; Santosh Kesari; Anders M Dale
Journal:  Front Oncol       Date:  2013-09-30       Impact factor: 6.244

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  9 in total

1.  Centrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation Study.

Authors:  P Alcaide-Leon; J Cluceru; J M Lupo; T J Yu; T L Luks; T Tihan; N A Bush; J E Villanueva-Meyer
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-15       Impact factor: 3.825

Review 2.  Clinical Applications of Magnetic Resonance Spectroscopy in Brain Tumors: From Diagnosis to Treatment.

Authors:  Brent D Weinberg; Manohar Kuruva; Hyunsuk Shim; Mark E Mullins
Journal:  Radiol Clin North Am       Date:  2021-03-23       Impact factor: 2.303

3.  Treatment-induced lesions in newly diagnosed glioblastoma patients undergoing chemoradiotherapy and heat-shock protein vaccine therapy.

Authors:  Paula Alcaide-Leon; Tracy L Luks; Marisa Lafontaine; Janine M Lupo; Hideho Okada; Jennifer L Clarke; Javier E Villanueva-Meyer
Journal:  J Neurooncol       Date:  2019-11-14       Impact factor: 4.130

Review 4.  Intracranial long-term complications of radiation therapy: an image-based review.

Authors:  Carrie M Carr; John C Benson; David R DeLone; Felix E Diehn; Dong Kun Kim; Kenneth W Merrell; Alex A Nagelschneider; Ajay A Madhavan; Derek R Johnson
Journal:  Neuroradiology       Date:  2021-01-04       Impact factor: 2.804

Review 5.  Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis.

Authors:  Rik van den Elshout; Tom W J Scheenen; Chantal M L Driessen; Robert J Smeenk; Frederick J A Meijer; Dylan Henssen
Journal:  Insights Imaging       Date:  2022-10-04

6.  The centrally restricted diffusion sign on MRI for assessment of radiation necrosis in metastases treated with stereotactic radiosurgery.

Authors:  Nicolin Hainc; Noor Alsafwani; Andrew Gao; Philip J O'Halloran; Paul Kongkham; Gelareh Zadeh; Enrique Gutierrez; David Shultz; Timo Krings; Paula Alcaide-Leon
Journal:  J Neurooncol       Date:  2021-10-24       Impact factor: 4.130

Review 7.  Pseudoprogression in Glioblastoma: Role of Metabolic and Functional MRI-Systematic Review.

Authors:  Ingrid Sidibe; Fatima Tensaouti; Margaux Roques; Elizabeth Cohen-Jonathan-Moyal; Anne Laprie
Journal:  Biomedicines       Date:  2022-01-26

8.  Assessment of the hypervascularized fraction of glioblastomas using a volume analysis of dynamic susceptibility contrast-enhanced MRI may help to identify pseudoprogression.

Authors:  Margaux Roques; Isabelle Catalaa; Magali Raveneau; Justine Attal; Aurore Siegfried; Jean Darcourt; Christophe Cognard; Nicolas Menjot de Champfleur; Fabrice Bonneville
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

9.  Combined Diagnostic Accuracy of Diffusion and Perfusion MR Imaging to Differentiate Radiation-Induced Necrosis from Recurrence in Glioblastoma.

Authors:  Ankush Jajodia; Varun Goel; Jitin Goyal; Nivedita Patnaik; Jeevitesh Khoda; Sunil Pasricha; Munish Gairola
Journal:  Diagnostics (Basel)       Date:  2022-03-15
  9 in total

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