| dc.contributor.author | Ušinskienė, Jurgita | |
| dc.contributor.author | Ulytė, Agnė | |
| dc.contributor.author | Bjørnerud, Atle | |
| dc.contributor.author | Venius, Jonas | |
| dc.contributor.author | Katsaros, Vasileios K | |
| dc.contributor.author | Valuckaitė, Rytė | |
| dc.contributor.author | Letautienė, Simona Rūta | |
| dc.contributor.author | Norkus, Darius | |
| dc.contributor.author | Sužiedėlis, Kęstutis | |
| dc.contributor.author | Ročka, Saulius | |
| dc.contributor.author | Ušinskas, Andrius | |
| dc.contributor.author | Aleknavičius, Eduardas | |
| dc.date.accessioned | 2023-09-18T16:40:53Z | |
| dc.date.available | 2023-09-18T16:40:53Z | |
| dc.date.issued | 2016 | |
| dc.identifier.issn | 0028-3940 | |
| dc.identifier.other | (BIS)VGT02-000031972 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/115925 | |
| dc.description.abstract | 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. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 339-350 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.relation.isreferencedby | SpringerLink | |
| dc.source.uri | http://link.springer.com/article/10.1007/s00234-016-1642-9 | |
| dc.subject | IK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies | |
| dc.title | Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.accessRights | 2014 IF 2.485 | |
| dcterms.references | 99 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Nacionalinis vėžio institutas | |
| dc.contributor.institution | Vilniaus universitetas | |
| dc.contributor.institution | Oslo University Hospital | |
| dc.contributor.institution | General Anti-Cancer and Oncological Hospital "St. Savvas" | |
| dc.contributor.institution | Nacionalinis vėžio institutas Vilniaus universitetas | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
| dc.subject.researchfield | M 001 - Medicina / Medicine | |
| dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
| dc.subject.ltspecializations | L105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies | |
| dc.subject.en | Brain tumor | |
| dc.subject.en | Magnetic resonance spectroscopy | |
| dc.subject.en | Diffusion magnetic resonance imaging | |
| dc.subject.en | Perfusion magnetic resonance imaging | |
| dc.subject.en | Meta-analysis | |
| dcterms.sourcetitle | Neuroradiology | |
| dc.description.volume | Vol. 58 | |
| dc.publisher.name | Springer | |
| dc.publisher.city | Berlin Heidelberg | |
| dc.identifier.doi | 000373805800002 | |
| dc.identifier.doi | 10.1007/s00234-016-1642-9 | |
| dc.identifier.elaba | 17216073 | |