Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.
Introduction: To perform a meta-analysis of advanced magnetic resonance imaging (MRI) metrics, including relative cerebral blood volume (rCBV), normalized apparent diffusion coefficient (nADC), and spectroscopy ratios choline/creatine (Cho/Cr) and choline/N-acetyl aspartate (Cho/NAA), for the differ...
| Publicado en: | Neuroradiology Vol. 58; no. 4; pp. 339 - 351 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114149662&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114149662 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Apr2016 vid: 58 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 114149662 114149662 114149662 10.1007/s00234-016-1642-9 114149662 ppf: 339 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics. aug: au: Usinskiene, Jurgita Ulyte, Agne Bjørnerud, Atle Venius, Jonas Katsaros, Vasileios Rynkeviciene, Ryte Letautiene, Simona Norkus, Darius Suziedelis, Kestutis Rocka, Saulius Usinskas, Andrius Aleknavicius, Eduardas affil: National Cancer Institute, Radiology Center, Santariskiu 1 LT-08660 Vilnius Lithuania sug: subj: Glioma Diagnosis Neoplasm Metastasis Neoplasm Grading Magnetic Resonance Imaging Methods Glioma Physiopathology Cerebral Blood Volume Creatine Analysis Choline Analysis Confidence Intervals Perfusion Imaging Human Meta Analysis Systematic Review Aspartic Acid Descriptive Statistics Magnetic Resonance Spectroscopy ab: Introduction: To perform a meta-analysis of advanced magnetic resonance imaging (MRI) metrics, including relative cerebral blood volume (rCBV), normalized apparent diffusion coefficient (nADC), and spectroscopy ratios choline/creatine (Cho/Cr) and choline/N-acetyl aspartate (Cho/NAA), for the differentiation of high- and low-grade gliomas (HGG, LGG) and metastases (MTS). Methods: For systematic review, 83 articles (dated 2000-2013) were selected from the NCBI database. Twenty-four, twenty-two, and eight articles were included respectively for spectroscopy, rCBV, and nADC meta-analysis. In the meta-analysis, we calculated overall means for rCBV, nADC, Cho/Cr (short TE-from 20 to 35 ms, medium-from 135 to 144 ms), and Cho/NAA for the HGG, LGG, and MTS groups. We used random effects model to obtain weighted averages and select thresholds. Results: Overall means (with 95 % CI) for rCBV, nADC, Cho/Cr (short and medium echo time, TE), and Cho/NAA were: for HGG 5.47 (4.78-6.15), 1.38 (1.16-1.60), 2.40 (1.67-3.13), 3.27 (2.78-3.77), and 4.71 (3.24-6.19); for LGG 2.00 (1.71-2.28), 1.61 (1.36-1.87), 1.46 (1.20-1.72), 1.71 (1.49-1.93), and 2.36 (1.50-3.23); for MTS 5.06 (3.85-6.27), 1.35 (1.06-1.64), 1.89 (1.72-2.06), 3.14 (1.57-4.72), (Cho/NAA was not available). LGG had significantly lower rCBV, Cho/Cr, and Cho/NAA values than HGG or MTS. No significant differences were found for nADC. Conclusions: Best differentiation between HGG and LGG is obtained from rCBV, Cho/Cr, and Cho/NAA metrics. MTS could not be reliably distinguished from HGG by the methods investigated. pubtype: Academic Journal doctype: meta analysis research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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