Literature DB >> 31857322

Response Assessment in Neuro-Oncology Criteria for Gliomas: Practical Approach Using Conventional and Advanced Techniques.

D J Leao1, P G Craig2, L F Godoy3,4, C C Leite4, B Policeni2.   

Abstract

The Response Assessment in Neuro-Oncology criteria were developed as an objective tool for radiologic assessment of treatment response in high-grade gliomas. Imaging plays a critical role in the management of the patient with glioma, from initial diagnosis to posttreatment follow-up, which can be particularly challenging for radiologists. Interpreting findings after surgery, radiation, and chemotherapy requires profound knowledge about the tumor biology, as well as the peculiar changes expected to ensue as a consequence of each treatment technique. In this article, we discuss the imaging findings associated with tumor progression, tumor response, pseudoprogression, and pseudoresponse according to the Response Assessment in Neuro-Oncology criteria for high-grade and lower-grade gliomas. We describe relevant practical issues when evaluating patients with glioma, such as the need for imaging in the first 48 hours, the radiation therapy planning and isodose curves, the significance of T2/FLAIR hyperintense lesions, the impact of the timing for the evaluation after radiation therapy, and the definition of progressive disease on the histologic specimen. We also illustrate the correlation among the findings on conventional MR imaging with advanced techniques, such as perfusion, diffusion-weighted imaging, spectroscopy, and amino acid PET. Because many of the new lesions represent a mixture of tumor cells and tissue with radiation injury, the radiologist aims to identify the predominant component of the lesion and categorize the findings according to Response Assessment in Neuro-Oncology criteria so that the patient can receive the best treatment.
© 2020 by American Journal of Neuroradiology.

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Year:  2019        PMID: 31857322      PMCID: PMC6975322          DOI: 10.3174/ajnr.A6358

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


  43 in total

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Authors:  Jun-Ling Xu; Da-Peng Shi; She-wei Dou; Yong-Li Li; Feng-shan Yan
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2.  Prediction of pseudoprogression in patients with glioblastomas using the initial and final area under the curves ratio derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.

Authors:  C H Suh; H S Kim; Y J Choi; N Kim; S J Kim
Journal:  AJNR Am J Neuroradiol       Date:  2013-07-04       Impact factor: 3.825

3.  Pathologic diagnosis of recurrent glioblastoma: morphologic, immunohistochemical, and molecular analysis of 20 paired cases.

Authors:  Jang-Hee Kim; Young Bae Kim; Jae Ho Han; Kyung-Gi Cho; Se-Hyuk Kim; Seung Soo Sheen; Hyun Woo Lee; Seon-Yong Jeong; Bo Young Kim; Kyi Beom Lee
Journal:  Am J Surg Pathol       Date:  2012-04       Impact factor: 6.394

4.  Diffusion and perfusion MRI to differentiate treatment-related changes including pseudoprogression from recurrent tumors in high-grade gliomas with histopathologic evidence.

Authors:  A J Prager; N Martinez; K Beal; A Omuro; Z Zhang; R J Young
Journal:  AJNR Am J Neuroradiol       Date:  2015-01-15       Impact factor: 3.825

5.  Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.

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Review 6.  Arterial spin-labeling in routine clinical practice, part 1: technique and artifacts.

Authors:  A R Deibler; J M Pollock; R A Kraft; H Tan; J H Burdette; J A Maldjian
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-27       Impact factor: 3.825

Review 7.  Immunotherapy response assessment in neuro-oncology: a report of the RANO working group.

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Review 9.  The use of amino acid PET and conventional MRI for monitoring of brain tumor therapy.

Authors:  Norbert Galldiks; Ian Law; Whitney B Pope; Javier Arbizu; Karl-Josef Langen
Journal:  Neuroimage Clin       Date:  2016-12-18       Impact factor: 4.881

10.  The consistency of neuropathological diagnoses in patients undergoing surgery for suspected recurrence of glioblastoma.

Authors:  Matthias Holdhoff; Xiaobu Ye; Anna F Piotrowski; Peter C Burger; Roy E Strowd; Shannon Seopaul; Yao Lu; Norman J Barker; Ananyaa Sivakumar; Fausto J Rodriguez; Stuart A Grossman
Journal:  J Neurooncol       Date:  2018-11-09       Impact factor: 4.130

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  22 in total

Review 1.  Recent Advancements in Stimuli Responsive Drug Delivery Platforms for Active and Passive Cancer Targeting.

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Journal:  Cancers (Basel)       Date:  2021-02-07       Impact factor: 6.639

Review 2.  Neuro-Oncology Practice Clinical Debate: FDG PET to differentiate glioblastoma recurrence from treatment-related changes.

Authors:  Ephraim E Parent; Derek R Johnson; Tyler Gleason; Javier E Villanueva-Meyer
Journal:  Neurooncol Pract       Date:  2021-05-04

Review 3.  Application of 7T MRS to High-Grade Gliomas.

Authors:  L McCarthy; G Verma; G Hangel; A Neal; B A Moffat; J P Stockmann; O C Andronesi; P Balchandani; C G Hadjipanayis
Journal:  AJNR Am J Neuroradiol       Date:  2022-05-26       Impact factor: 4.966

Review 4.  The Use of 18F-FET-PET-MRI in Neuro-Oncology: The Best of Both Worlds-A Narrative Review.

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Journal:  Diagnostics (Basel)       Date:  2022-05-11

Review 5.  Surveillance imaging frequency in adult patients with lower-grade (WHO Grade 2 and 3) gliomas.

Authors:  Jasmin Jo; Martin J van den Bent; Burt Nabors; Patrick Y Wen; David Schiff
Journal:  Neuro Oncol       Date:  2022-07-01       Impact factor: 13.029

6.  Feasibility of glioblastoma tissue response mapping with physiologic BOLD imaging using precise oxygen and carbon dioxide challenge.

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Journal:  MAGMA       Date:  2021-12-07       Impact factor: 2.310

7.  A Phase 2 Study of Dose-intensified Chemoradiation Using Biologically Based Target Volume Definition in Patients With Newly Diagnosed Glioblastoma.

Authors:  Michelle M Kim; Yilun Sun; Madhava P Aryal; Hemant A Parmar; Morand Piert; Benjamin Rosen; Charles S Mayo; James M Balter; Matthew Schipper; Nicolette Gabel; Emily M Briceño; Daekeun You; Jason Heth; Wajd Al-Holou; Yoshie Umemura; Denise Leung; Larry Junck; Daniel R Wahl; Theodore S Lawrence; Yue Cao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-01-29       Impact factor: 8.013

Review 8.  Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors.

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Review 9.  Transformational Role of Medical Imaging in (Radiation) Oncology.

Authors:  Catherine Coolens; Matt N Gwilliam; Paula Alcaide-Leon; Isabella Maria de Freitas Faria; Fabio Ynoe de Moraes
Journal:  Cancers (Basel)       Date:  2021-05-23       Impact factor: 6.639

10.  Survival outcome and prognostic factors in anaplastic oligodendroglioma: a single-institution study of 95 cases.

Authors:  Dong-Won Shin; Seungjoo Lee; Sang Woo Song; Young Hyun Cho; Seok Ho Hong; Jeong Hoon Kim; Ho Sung Kim; Ji Eun Park; Soo Jeong Nam; Young-Hoon Kim
Journal:  Sci Rep       Date:  2020-11-19       Impact factor: 4.996

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