Literature DB >> 16908548

A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors.

W Hollingworth1, L S Medina, R E Lenkinski, D K Shibata, B Bernal, D Zurakowski, B Comstock, J G Jarvik.   

Abstract

BACKGROUND AND
PURPOSE: Proton MR spectroscopy ((1)H-MR spectroscopy) is a potentially useful adjunct to anatomic MR imaging in the characterization of brain tumors. We performed an updated systematic review of the evidence.
METHODS: We employed a standardized search strategy to find studies published during 2002-2004. We reviewed studies measuring diagnostic accuracy and diagnostic, therapeutic, or health impact of (1)H-MR spectroscopy. We abstracted information on study design, (1)H-MR spectroscopy technique, and methodologic quality. We categorized studies into 5 subgroups: (1) metastasis versus high-grade tumor; (2) high-versus low-grade tumor; (3) recurrent tumor versus radiation necrosis; (4) tumor extent; and (5) tumor versus non-neoplastic lesion.
RESULTS: We identified 26 studies evaluating diagnostic performance, diagnostic impact, or therapeutic impact. No articles evaluated patient health or cost-effectiveness. Methodologic quality was mixed; most used histopathology as the reference standard but did not specify blinded interpretation of histopathology. One large study demonstrated a statistically significant increase in diagnostic accuracy for indeterminate brain lesions from 55%, based on MR imaging, to 71% after analysis of (1)H-MR spectroscopy. Several studies have found that (1)H-MR spectroscopy is highly accurate for distinguishing high- and low-grade gliomas, though the incremental benefit of (1)H-MR spectroscopy in this setting is less clear. Interpretation for the other clinical subgroups is limited by the small number of studies.
CONCLUSION: The current evidence on the accuracy of (1)H-MR spectroscopy in the characterization of brain tumors is promising. However, additional high-quality studies are needed to convince policy makers. We present guidelines to help focus future research in this area.

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Year:  2006        PMID: 16908548      PMCID: PMC7977543     

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


  45 in total

Review 1.  Multivoxel magnetic resonance spectroscopy of brain tumors.

Authors:  Sarah J Nelson
Journal:  Mol Cancer Ther       Date:  2003-05       Impact factor: 6.261

2.  Utility of proton MR spectroscopy in the diagnosis of radiologically atypical intracranial meningiomas.

Authors:  C Majós; J Alonso; C Aguilera; M Serrallonga; S Coll; J J Acebes; C Arús; J Gili
Journal:  Neuroradiology       Date:  2003-02-19       Impact factor: 2.804

3.  Improving diagnostic yield in brain biopsy: coupling spectroscopic targeting with real-time needle placement.

Authors:  W A Hall; A Martin; H Liu; C L Truwit
Journal:  J Magn Reson Imaging       Date:  2001-01       Impact factor: 4.813

4.  Prospective evaluation of in vivo proton MR spectroscopy in differentiation of similar appearing intracranial cystic lesions.

Authors:  A Shukla-Dave; R K Gupta; R Roy; N Husain; L Paul; S K Venkatesh; M R Rashid; D K Chhabra; M Husain
Journal:  Magn Reson Imaging       Date:  2001-01       Impact factor: 2.546

5.  Efficacy of proton magnetic resonance spectroscopy in clinical decision making for patients with suspected malignant brain tumors.

Authors:  A Lin; S Bluml; A N Mamelak
Journal:  J Neurooncol       Date:  1999       Impact factor: 4.130

6.  [Usefulness of Cho/Cr ratio in proton MR spectroscopy for differentiating residual/recurrent glioma from non-neoplastic lesions].

Authors:  Kumiko Ando; Reiichi Ishikura; Yuki Nagami; Tsutomu Morikawa; Yoshihiro Takada; Jota Ikeda; Norio Nakao; Tsuyoshi Matsumoto; Norio Arita
Journal:  Nihon Igaku Hoshasen Gakkai Zasshi       Date:  2004-03

7.  Accuracy of single-voxel proton MR spectroscopy in distinguishing neoplastic from nonneoplastic brain lesions.

Authors:  S D Rand; R Prost; V Haughton; L Mark; J Strainer; J Johansen; T A Kim; V K Chetty; W Mueller; G Meyer; H Krouwer
Journal:  AJNR Am J Neuroradiol       Date:  1997-10       Impact factor: 3.825

8.  3D MRSI for resected high-grade gliomas before RT: tumor extent according to metabolic activity in relation to MRI.

Authors:  Andrea Pirzkall; Xiaojuan Li; Joonmi Oh; Susan Chang; Mitchel S Berger; David A Larson; Lynn J Verhey; William P Dillon; Sarah J Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-05-01       Impact factor: 7.038

Review 9.  Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet
Journal:  Radiology       Date:  2003-01       Impact factor: 11.105

10.  Automated classification of short echo time in in vivo 1H brain tumor spectra: a multicenter study.

Authors:  A Rosemary Tate; Carles Majós; Angel Moreno; Franklyn A Howe; John R Griffiths; Carles Arús
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

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  51 in total

Review 1.  Recent advances in magnetic resonance neurospectroscopy.

Authors:  Yael Rosen; Robert E Lenkinski
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

2.  Regional distributions of brain glutamate and glutamine in normal subjects.

Authors:  Mohammed Z Goryawala; Sulaiman Sheriff; Andrew A Maudsley
Journal:  NMR Biomed       Date:  2016-06-28       Impact factor: 4.044

3.  Proton MR spectroscopy of cerebral gliomas at 3 T: spatial heterogeneity, and tumour grade and extent.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Teresa Popolizio; Domenico Catapano; Giuseppe M Giannatempo; Simona Bonavita; Maurizio Portaluri; Michela Tosetti; Vincenzo A d'Angelo; Ugo Salvolini; Gioacchino Tedeschi
Journal:  Eur Radiol       Date:  2008-04-04       Impact factor: 5.315

4.  Metabolic mapping of deep brain structures and associations with symptomatology in autism spectrum disorders.

Authors:  Krissy A R Doyle-Thomas; Dallas Card; Latha V Soorya; A Ting Wang; Jin Fan; Evdokia Anagnostou
Journal:  Res Autism Spectr Disord       Date:  2014-01

5.  Analyzing magnetic resonance imaging data from glioma patients using deep learning.

Authors:  Bjoern Menze; Fabian Isensee; Roland Wiest; Bene Wiestler; Klaus Maier-Hein; Mauricio Reyes; Spyridon Bakas
Journal:  Comput Med Imaging Graph       Date:  2020-12-02       Impact factor: 4.790

Review 6.  'Low grade glioma': an update for radiologists.

Authors:  Jennifer Larsen; Steve B Wharton; Fiona McKevitt; Charles Romanowski; Caroline Bridgewater; Hesham Zaki; Nigel Hoggard
Journal:  Br J Radiol       Date:  2016-12-07       Impact factor: 3.039

7.  Oligodendroglioma confers higher risk of radiation necrosis.

Authors:  Haroon Ahmad; David Martin; Sohil H Patel; Joseph Donahue; Beatriz Lopes; Benjamin Purow; David Schiff; Camilo E Fadul
Journal:  J Neurooncol       Date:  2019-09-23       Impact factor: 4.130

8.  Proton and phosphorous MR spectroscopy in squamous cell carcinomas of the head and neck.

Authors:  Sanjeev Chawla; Sungheon Kim; Laurie A Loevner; Harry Quon; Sumei Wang; Faith Mutale; Gregory Weinstein; Edward J Delikatny; Harish Poptani
Journal:  Acad Radiol       Date:  2009-07-15       Impact factor: 3.173

Review 9.  Functional MR Imaging Techniques in Oncology in the Era of Personalized Medicine.

Authors:  Matthias R Benz; Hebert Alberto Vargas; Evis Sala
Journal:  Magn Reson Imaging Clin N Am       Date:  2015-09-26       Impact factor: 2.266

10.  Functional brain imaging: an evidence-based analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2006-12-01
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