Literature DB >> 23325863

Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies.

Nishant Verma1, Matthew C Cowperthwaite, Mark G Burnett, Mia K Markey.   

Abstract

Differentiating treatment-induced necrosis from tumor recurrence is a central challenge in neuro-oncology. These 2 very different outcomes after brain tumor treatment often appear similarly on routine follow-up imaging studies. They may even manifest with similar clinical symptoms, further confounding an already difficult process for physicians attempting to characterize a new contrast-enhancing lesion appearing on a patient's follow-up imaging. Distinguishing treatment necrosis from tumor recurrence is crucial for diagnosis and treatment planning, and therefore, much effort has been put forth to develop noninvasive methods to differentiate between these disparate outcomes. In this article, we review the latest developments and key findings from research studies exploring the efficacy of structural and functional imaging modalities for differentiating treatment necrosis from tumor recurrence. We discuss the possibility of computational approaches to investigate the usefulness of fine-grained imaging characteristics that are difficult to observe through visual inspection of images. We also propose a flexible treatment-planning algorithm that incorporates advanced functional imaging techniques when indicated by the patient's routine follow-up images and clinical condition.

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Mesh:

Year:  2013        PMID: 23325863      PMCID: PMC3635510          DOI: 10.1093/neuonc/nos307

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  140 in total

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Authors:  Xintao Hu; Kelvin K Wong; Geoffrey S Young; Lei Guo; Stephen T Wong
Journal:  J Magn Reson Imaging       Date:  2011-02       Impact factor: 4.813

2.  Discrimination between metastasis and glioblastoma multiforme based on morphometric analysis of MR images.

Authors:  L Blanchet; P W T Krooshof; G J Postma; A J Idema; B Goraj; A Heerschap; L M C Buydens
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-04       Impact factor: 3.825

3.  Differentiation between intra-axial metastatic tumor progression and radiation injury following fractionated radiation therapy or stereotactic radiosurgery using MR spectroscopy, perfusion MR imaging or volume progression modeling.

Authors:  Jiayi Huang; Ay-Ming Wang; Anil Shetty; Ann H Maitz; Di Yan; Danielle Doyle; Kenneth Richey; Sean Park; Daniel R Pieper; Peter Y Chen; Inga Siiner Grills
Journal:  Magn Reson Imaging       Date:  2011-05-14       Impact factor: 2.546

4.  Distinction between postoperative recurrent glioma and radiation injury using MR diffusion tensor imaging.

Authors:  Jun-Ling Xu; Yong-Li Li; Jian-Min Lian; She-wei Dou; Feng-Shan Yan; Hui Wu; Da-peng Shi
Journal:  Neuroradiology       Date:  2010-06-23       Impact factor: 2.804

5.  Differentiating radiation necrosis from tumor recurrence in high-grade gliomas: assessing the efficacy of 18F-FDG PET, 11C-methionine PET and perfusion MRI.

Authors:  Yong Hwy Kim; So Won Oh; You Jung Lim; Chul-Kee Park; Se-Hoon Lee; Keon Wook Kang; Hee-Won Jung; Kee Hyun Chang
Journal:  Clin Neurol Neurosurg       Date:  2010-07-08       Impact factor: 1.876

6.  Distinguishing recurrent high-grade gliomas from radiation injury: a pilot study using dynamic contrast-enhanced MR imaging.

Authors:  Sotirios Bisdas; Thomas Naegele; Rainer Ritz; Artemisia Dimostheni; Christina Pfannenberg; Matthias Reimold; Tong San Koh; Ulrike Ernemann
Journal:  Acad Radiol       Date:  2011-03-21       Impact factor: 3.173

7.  MR spectroscopy using normalized and non-normalized metabolite ratios for differentiating recurrent brain tumor from radiation injury.

Authors:  Augusto E Elias; Ruth C Carlos; Ethan A Smith; Dan Frechtling; Bekris George; Pavel Maly; Pia C Sundgren
Journal:  Acad Radiol       Date:  2011-09       Impact factor: 3.173

8.  Apparent Diffusion Coefficient (ADC) as a quantitative parameter in diffusion weighted MR imaging in gynecologic cancer: Dependence on b-values used.

Authors:  Jesper Folsted Kallehauge; Kari Tanderup; Søren Haack; Thomas Nielsen; Ludvig Paul Muren; Lars Fokdal; Jacob Christian Lindegaard; Erik Morre Pedersen
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

9.  Perfusion weighted magnetic resonance imaging to distinguish the recurrence of metastatic brain tumors from radiation necrosis after stereotactic radiosurgery.

Authors:  Koichi Mitsuya; Yoko Nakasu; Satoshi Horiguchi; Hideyuki Harada; Tetsuo Nishimura; Etsuro Bando; Hiroto Okawa; Yoshihiro Furukawa; Tatsuo Hirai; Masahiro Endo
Journal:  J Neurooncol       Date:  2010-01-08       Impact factor: 4.130

10.  Developing a clinical decision model: MR spectroscopy to differentiate between recurrent tumor and radiation change in patients with new contrast-enhancing lesions.

Authors:  Ethan A Smith; Ruth C Carlos; Larry R Junck; Christina I Tsien; Augusto Elias; Pia C Sundgren
Journal:  AJR Am J Roentgenol       Date:  2009-02       Impact factor: 3.959

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  102 in total

1.  Mono-exponential, diffusion kurtosis and stretched exponential diffusion MR imaging response to chemoradiation in newly diagnosed glioblastoma.

Authors:  Ararat Chakhoyan; Davis C Woodworth; Robert J Harris; Albert Lai; Phioanh L Nghiemphu; Linda M Liau; Whitney B Pope; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2018-05-31       Impact factor: 4.130

2.  miRNA contents of cerebrospinal fluid extracellular vesicles in glioblastoma patients.

Authors:  Johnny C Akers; Valya Ramakrishnan; Ryan Kim; Shirley Phillips; Vivek Kaimal; Ying Mao; Wei Hua; Isaac Yang; Chia-Chun Fu; John Nolan; Ichiro Nakano; Yuanfan Yang; Martin Beaulieu; Bob S Carter; Clark C Chen
Journal:  J Neurooncol       Date:  2015-04-23       Impact factor: 4.130

3.  Comparison of Diffusion Tensor Imaging and Magnetic Resonance Perfusion Imaging in Differentiating Recurrent Brain Neoplasm From Radiation Necrosis.

Authors:  William R Masch; Page I Wang; Thomas L Chenevert; Larry Junck; Christina Tsien; Jason A Heth; Pia C Sundgren
Journal:  Acad Radiol       Date:  2016-02-23       Impact factor: 3.173

4.  Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study.

Authors:  P Tiwari; P Prasanna; L Wolansky; M Pinho; M Cohen; A P Nayate; A Gupta; G Singh; K J Hatanpaa; A Sloan; L Rogers; A Madabhushi
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-15       Impact factor: 3.825

Review 5.  The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

Authors:  Robert H Press; Jim Zhong; Saumya S Gurbani; Brent D Weinberg; Bree R Eaton; Hyunsuk Shim; Hui-Kuo G Shu
Journal:  Neurosurgery       Date:  2019-08-01       Impact factor: 4.654

Review 6.  Advanced MRI Techniques in the Monitoring of Treatment of Gliomas.

Authors:  Harpreet Hyare; Steffi Thust; Jeremy Rees
Journal:  Curr Treat Options Neurol       Date:  2017-03       Impact factor: 3.598

Review 7.  Current concepts and challenges in the radiologic assessment of brain tumors in children: part 2.

Authors:  Benita Tamrazi; Kshitij Mankad; Marvin Nelson; Felice D'Arco
Journal:  Pediatr Radiol       Date:  2018-09-13

8.  Combined iron oxide nanoparticle ferumoxytol and gadolinium contrast enhanced MRI define glioblastoma pseudoprogression.

Authors:  Ramon F Barajas; Bronwyn E Hamilton; Daniel Schwartz; Heather L McConnell; David R Pettersson; Andrea Horvath; Laszlo Szidonya; Csanad G Varallyay; Jenny Firkins; Jerry J Jaboin; Charlotte D Kubicky; Ahmed M Raslan; Aclan Dogan; Justin S Cetas; Jeremy Ciporen; Seunggu J Han; Prakash Ambady; Leslie L Muldoon; Randy Woltjer; William D Rooney; Edward A Neuwelt
Journal:  Neuro Oncol       Date:  2019-03-18       Impact factor: 12.300

9.  Spatial discrimination of glioblastoma and treatment effect with histologically-validated perfusion and diffusion magnetic resonance imaging metrics.

Authors:  Melissa A Prah; Mona M Al-Gizawiy; Wade M Mueller; Elizabeth J Cochran; Raymond G Hoffmann; Jennifer M Connelly; Kathleen M Schmainda
Journal:  J Neurooncol       Date:  2017-09-12       Impact factor: 4.130

Review 10.  Post-treatment imaging changes in primary brain tumors.

Authors:  Barbara J O'Brien; Rivka R Colen
Journal:  Curr Oncol Rep       Date:  2014       Impact factor: 5.075

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