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1 d analyzed using voxel-based morphometry and volumetry.
2 hanges on MR spectroscopy but not on fMRI or volumetry.
3 - 1% of patients, outperforming conventional volumetry.
4 sions simultaneous with ventricular pressure-volumetry.
5 ement strategy based solely on semiautomated volumetry.
6 estigated hippocampus volume using automated volumetry.
7 magnetic resonance imaging with hippocampal volumetry.
8 y and 0.81 (95% CI: 0.74, 0.90) for post-CRT volumetry.
9 ean difference of -2.6% compared with manual volumetry.
10 us included T(2) relaxometry and hippocampal volumetry.
11 mphatics was confirmed by water displacement volumetry.
13 dence interval [CI]: 0.76, 0.93) for pre-CRT volumetry and 0.81 (95% CI: 0.74, 0.90) for post-CRT vol
14 V estimated with software-assisted CT (SACT) volumetry and actual graft weight after right-lobe donat
16 in magnetic resonance imaging with automated volumetry and cognitive assessment with the Montreal Cog
17 Tumor growth rate (TGR) was measured by CT volumetry and compared with that of a non-PVE control gr
19 hree initialization methods for computerized volumetry and manually contoured by three radiologists t
20 HRQOL), multi-modal MRI (fMRI go/no-go task, volumetry and MR spectroscopy), blood (inflammatory cyto
21 c accuracy of magnetic-resonance hippocampal volumetry and spectroscopy in patients with mild cogniti
22 g (MRI) for posterior visual pathway damage (volumetry and spectroscopy of visual cortex, lesion volu
24 date review of the most recent literature on volumetry and volume doubling times in lung nodule manag
25 nd 20 matched healthy controls, using manual volumetry and voxel-based morphometry (VBM) to correlate
26 instem (by manual magnetic resonance imaging volumetry) and of the structural connectivity of the cor
27 Interobserver agreement is high at MR lung volumetry, and its findings are predictive of outcome in
30 arch has been ongoing into the use of nodule volumetry as a means of measuring nodule size, and this
32 arriers, underwent cranial 3-dimensional MRI volumetry, as well as multitracer PET with (18)F-FDG, (1
38 In this work, we used standardized thalamic volumetry combined with diffusion tensor imaging, T2 rel
39 nal imaging biomarker in combination with LA volumetry could help to guide clinical decisions, since
40 ness measurement and subcortical gray matter volumetry could provide an early and accurate in vivo as
43 and-Altman analysis showed that computerized volumetry had a mean difference of -2.6% compared with m
44 n emission tomography (FDG-PET), hippocampal volumetry (HV), T2 relaxometry, and proton magnetic reso
46 To investigate global and lobular cerebellar volumetries in patients with progressive multiple sclero
47 accuracy, enabling prenatal MR imaging lung volumetry in which relative lung volume is used to quant
49 multimodal structural imaging that combined volumetry of hippocampal subfields with analysis of hipp
50 tients with cognitive impairment - automated volumetry of the hippocampus, entorhinal cortex, parahip
53 te estimates of RHLV can be achieved by SACT volumetry or by the simple method of Lee but using the S
54 lume evaluation by computed tomographic (CT) volumetry preoperatively and 1 week after RH, postoperat
59 -Altman analysis showed agreement between CT volumetry SRF and MAG3-SRF (bias, 95% limits of agreemen
60 3-dimensional segmentation and computerized volumetry technique and compared with serum PSA levels.
61 s study was to identify the most accurate CT volumetry technique for SRF and the prediction of postdo
65 is study was to quantify differences between volumetry, uptake, and heterogeneity features extracted
66 emnant liver volume (RLV) on preoperative CT volumetry was higher in the BL group (450 +/- 150 vs 646
67 whole cortical ribbon, and deep gray matter volumetry was performed after automatic segmentation.
71 tive measurements of FI, density, and vessel volumetry, were used to feed a multiple logistic regress
72 g whole-brain, hippocampal and basal ganglia volumetry; white matter integrity (diffusion tensor imag
73 patients ( approximately 11%) in whom liver volumetry with the mTLV underestimates the risk of hepat
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