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1 surements of average diameter and volume (CT volumetry).
2 unction, symptom severity, CCM and MRI brain volumetry.
3 l measurement methods and were highest using volumetry.
4 d analyzed using voxel-based morphometry and volumetry.
5 hanges on MR spectroscopy but not on fMRI or volumetry.
6 t liver volumes were estimated using hepatic volumetry.
7 - 1% of patients, outperforming conventional volumetry.
8 sions simultaneous with ventricular pressure-volumetry.
9 ement strategy based solely on semiautomated volumetry.
10 estigated hippocampus volume using automated volumetry.
11 magnetic resonance imaging with hippocampal volumetry.
12 y and 0.81 (95% CI: 0.74, 0.90) for post-CRT volumetry.
13 ean difference of -2.6% compared with manual volumetry.
14 us included T(2) relaxometry and hippocampal volumetry.
15 mphatics was confirmed by water displacement volumetry.
16 hm was used for superior cerebellar peduncle volumetry.
17 e) completed [(11)C]CURB PET and hippocampal volumetry.
18 ree precession MRI performed for ventricular volumetry.
20 dence interval [CI]: 0.76, 0.93) for pre-CRT volumetry and 0.81 (95% CI: 0.74, 0.90) for post-CRT vol
21 V estimated with software-assisted CT (SACT) volumetry and actual graft weight after right-lobe donat
24 in magnetic resonance imaging with automated volumetry and cognitive assessment with the Montreal Cog
25 Tumor growth rate (TGR) was measured by CT volumetry and compared with that of a non-PVE control gr
29 hree initialization methods for computerized volumetry and manually contoured by three radiologists t
31 HRQOL), multi-modal MRI (fMRI go/no-go task, volumetry and MR spectroscopy), blood (inflammatory cyto
32 c accuracy of magnetic-resonance hippocampal volumetry and spectroscopy in patients with mild cogniti
33 g (MRI) for posterior visual pathway damage (volumetry and spectroscopy of visual cortex, lesion volu
35 date review of the most recent literature on volumetry and volume doubling times in lung nodule manag
36 nd 20 matched healthy controls, using manual volumetry and voxel-based morphometry (VBM) to correlate
37 ructural abnormalities were determined using volumetry and voxel-based morphometry; rs-fMRI data were
38 instem (by manual magnetic resonance imaging volumetry) and of the structural connectivity of the cor
39 Interobserver agreement is high at MR lung volumetry, and its findings are predictive of outcome in
43 extracted using an established automated MRI volumetry approach based on a stereotactic atlas of chol
44 arch has been ongoing into the use of nodule volumetry as a means of measuring nodule size, and this
47 arriers, underwent cranial 3-dimensional MRI volumetry, as well as multitracer PET with (18)F-FDG, (1
48 ns has considerably lower repeatability, and volumetry based on subgroups of these lesions, although
53 ts who receive APOLT for ALF, CT-based liver volumetry closely parallels native liver function recove
55 In this work, we used standardized thalamic volumetry combined with diffusion tensor imaging, T2 rel
56 o a lower Lung-RADS category on the basis of volumetry compared with using manual diameter measuremen
57 larly performed during patient follow-up, CT volumetry could be used as an alternative to monitor nat
58 nal imaging biomarker in combination with LA volumetry could help to guide clinical decisions, since
59 ness measurement and subcortical gray matter volumetry could provide an early and accurate in vivo as
60 riventricular leukomalacia, and quantitative volumetry demonstrated significantly diminished white ma
61 nitive testing, structural brain MRI (tissue volumetry), diffusion tensor imaging (white matter micro
62 essels) relevant for use cases such as organ volumetry, disease characterization, and surgical or rad
63 uctures relevant for use cases such as organ volumetry, disease characterization, surgical planning,
67 ed inversion recovery (FLAIR) sequences, MRI volumetry enables clinicians to objectively quantify bra
69 and-Altman analysis showed that computerized volumetry had a mean difference of -2.6% compared with m
70 uantitative magnetic resonance imaging (MRI) volumetry has become a pivotal component in modern neuro
71 n emission tomography (FDG-PET), hippocampal volumetry (HV), T2 relaxometry, and proton magnetic reso
73 To investigate global and lobular cerebellar volumetries in patients with progressive multiple sclero
74 ophthalmic imaging technique with MRI brain volumetry in quantifying neuronal pathology and its rela
75 accuracy, enabling prenatal MR imaging lung volumetry in which relative lung volume is used to quant
77 ata included liver graft and native liver CT volumetry measurements (expressed as fractions), TBIDA s
80 significant difference was found only in the volumetry of cerebral hemispheres for both the groups: m
82 multimodal structural imaging that combined volumetry of hippocampal subfields with analysis of hipp
84 tients with cognitive impairment - automated volumetry of the hippocampus, entorhinal cortex, parahip
86 automated, reproducible, and quantitative 3D volumetry of the liver from standard CT examinations of
87 Our results show that fully automated 3D volumetry of the liver on routine CT imaging can provide
89 netization transfer-prepared T1-weighted MRI volumetry of the substantia nigra helped differentiate t
91 te estimates of RHLV can be achieved by SACT volumetry or by the simple method of Lee but using the S
92 lume evaluation by computed tomographic (CT) volumetry preoperatively and 1 week after RH, postoperat
98 variety of MRI techniques including fMRI, MR volumetry, spectroscopy and DTI captured functional, met
99 -Altman analysis showed agreement between CT volumetry SRF and MAG3-SRF (bias, 95% limits of agreemen
101 3-dimensional segmentation and computerized volumetry technique and compared with serum PSA levels.
102 s study was to identify the most accurate CT volumetry technique for SRF and the prediction of postdo
106 pe and future trajectory of quantitative MRI volumetry, underscoring its expanding role in clinical n
107 is study was to quantify differences between volumetry, uptake, and heterogeneity features extracted
108 Previous reports indicated that thalamic volumetry using artificial intelligence (AI) on clinical
111 emnant liver volume (RLV) on preoperative CT volumetry was higher in the BL group (450 +/- 150 vs 646
112 whole cortical ribbon, and deep gray matter volumetry was performed after automatic segmentation.
115 ation of atrophy profiles from automatic MRI volumetry was used to analyse T1w-MRI (output: MRI-SVM-P
117 -water imaging, free-water-corrected DTI and volumetry were used to extract structural metrics from t
118 tive measurements of FI, density, and vessel volumetry, were used to feed a multiple logistic regress
119 g whole-brain, hippocampal and basal ganglia volumetry; white matter integrity (diffusion tensor imag
120 patients ( approximately 11%) in whom liver volumetry with the mTLV underestimates the risk of hepat