Literature DB >> 10414947

Serial evaluation of patients with brain tumors using volume MRI and 3D 1H MRSI.

S J Nelson1, D B Vigneron, W P Dillon.   

Abstract

Patients with brain tumors are routinely monitored for tumor progression and response to therapy using magnetic resonance imaging (MRI). Although serial changes in gadolinium enhancing lesions provide valuable information for making treatment decisions, they do not address the fate of non-enhancing lesions and are unable to distinguish treatment induced necrosis from residual or recurrent tumor. The introduction of a non-invasive methodology, which could identify an active tumor more reliably, would have a major impact upon patient care and evaluation of new therapies. There is now compelling evidence that magnetic resonance spectroscopic imaging (MRSI) can provide such information as an add-on to a conventional MRI examination. We discuss data acquisition and analysis procedures which are required to perform such serial MRI-MRSI examinations and compare their results with data from histology, contrast enhanced MRI, MR cerebral blood volume imaging and FDG-PET. Applications to the serial assessment of response to therapy are illustrated by considering populations of patients being treated with brachytherapy and gamma knife radiosurgery.

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Year:  1999        PMID: 10414947     DOI: 10.1002/(sici)1099-1492(199905)12:3<123::aid-nbm541>3.0.co;2-y

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  30 in total

Review 1.  Three-dimensional magnetic resonance spectroscopic imaging of brain and prostate cancer.

Authors:  J Kurhanewicz; D B Vigneron; S J Nelson
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  Multisection 1H magnetic resonance spectroscopic imaging assessment of glioma response to chemotherapy.

Authors:  Casilda Balmaceda; Dana Critchell; Xiangling Mao; Kenneth Cheung; Susan Pannullo; Robert L DeLaPaz; Dikoma C Shungu
Journal:  J Neurooncol       Date:  2006-01       Impact factor: 4.130

3.  Relationship of MR-derived lactate, mobile lipids, and relative blood volume for gliomas in vivo.

Authors:  Xiaojuan Li; Daniel B Vigneron; Soonmee Cha; Edward E Graves; Forrest Crawford; Susan M Chang; Sarah J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

4.  Automatic repositioning of MRSI voxels in longitudinal studies: impact on reproducibility of metabolite concentration measurements.

Authors:  Eva-Maria Ratai; Ileana Hancu; Daniel J Blezek; Katherine W Turk; Elkan Halpern; R Gilberto González
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

Review 5.  Vascular microenvironment in gliomas.

Authors:  P Vajkoczy; M D Menger
Journal:  J Neurooncol       Date:  2000 Oct-Nov       Impact factor: 4.130

6.  Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

Authors:  James S Cordova; Hui-Kuo G Shu; Zhongxing Liang; Saumya S Gurbani; Lee A D Cooper; Chad A Holder; Jeffrey J Olson; Brad Kairdolf; Eduard Schreibmann; Stewart G Neill; Constantinos G Hadjipanayis; Hyunsuk Shim
Journal:  Neuro Oncol       Date:  2016-03-15       Impact factor: 12.300

7.  Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Authors:  Sarah J Nelson; Achuta K Kadambi; Ilwoo Park; Yan Li; Jason Crane; Marram Olson; Annette Molinaro; Ritu Roy; Nicholas Butowski; Soonmee Cha; Susan Chang
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

8.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

9.  Reproducibility of serial whole-brain MR spectroscopic imaging.

Authors:  A A Maudsley; C Domenig; S Sheriff
Journal:  NMR Biomed       Date:  2010-04       Impact factor: 4.044

10.  Magnetic resonance spectroscopy in pediatric neuroradiology: clinical and research applications.

Authors:  Ashok Panigrahy; Marvin D Nelson; Stefan Blüml
Journal:  Pediatr Radiol       Date:  2009-11-24
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