ライフサイエンスコーパス: ROI

1 ROI analyses taking into account GM volume changes showe

2 ROI analysis of FA yielded no main effect of time in any

3 ROI analysis revealed reduced PFC-thalamic connectivity

4 ROI reflectivity were classified as hypo-reflective or h

5 ROI-based analysis allows reliable FA and MD quantificat

6 ROI-based analysis of VNCa CT numbers showed a significa

7 ROIs were classified according to their location (white

8 eductions in [(11)C]carfentanil BPND in 8/10 ROI in HV.

9 usion property measurements in any of the 10 ROIs between the methods.

10 ron emission tomography measures between 116 ROIs and 565 373 single-nucleotide polymorphisms.

11 Although 15 of the 16 ROIs increased in width between visits, only 11 showed a

12 6,582 and returned $265,870 to society (249% ROI), whereas aflibercept treatment cost $61,811 and ret

13 compared with the A+N- group (n = 17) (all 4 ROIs; P < .001).

14 p also had lower FDG SUVR at baseline (all 4 ROIs; P < .01) compared with the A-N- group (n = 12).

15 etal regions) and gray matter volumes (all 4 ROIs; P < .05) compared with the A+N- group.

16 1,811 and returned $310,611 to society (503% ROI).

17 and MAG3-SRF (bias, 95% limits of agreement: ROI vs MAG3 0.4%, -7.7% to 8.6%; MELV vs MAG3 0.4%, -8.9

18 atches which are randomly collected from all ROIs.

19 was associated with higher tau levels in all ROIs, independent of age, and very elevated levels of ta

20 D, higher HOMA-IR predicted lower FDG in all ROIs.

21 group exhibiting higher temperatures in all ROIs.

22 preferred versus nonpreferred category of an ROI (scenes for PPA, objects for LOC).

23 ction' used to correct activity traces on an ROI-by-ROI basis.

24 We found that an ROI consisting of the posterior cingulate cortex/precune

25 capable of single-cell sensitivity within an ROI using the antibody readout, with RNA detection feasi

26 Sixty-eight reference anatomic ROIs with gross tumor and nodal targets were then manual

27 The whole-brain and ROI analyses confirmed that the propensity of brain cell

28 seed-based functional connectivity (FC) and ROI-to-ROI connectivity in subacute right-hemisphere str

29 SI of HC types of interobservers (O1-O2) and ROI sizes (4-8 mm) (p>0.05 for all parameters).

30 and 93.9 +/- 25.2 (P < 0.005 MELV vs RCV and ROI vs RCV).

31 The highest correlation between HC types and ROI sizes was in ROI size of 4 mm.

32 Conclusion Visual and ROI-based analyses of dual-energy VNCa images had excell

33 PET and CT images were coregistered and ROIs drawn on the basis of the location of track markers

34 o significant differences in mean SI for any ROI and no group differences were found when DN-to-pons

35 GBCA administered and signal change for any ROI.

36 Statistics for Connectivity Analysis between ROI (PeSCAR).

37 sis showed no significant difference between ROI and segmentation methods (P = 0.638) and an intra-cl

38 emonstration of a causal interaction between ROIs within the drug-cue processing network in cocaine u

39 er controlling for gestational age at birth, ROI analyses still showed positive correlations (P <= .0

40 n between tau and Abeta was observed in both ROI and map-level analyses, such that rapid prospective

41 As expected, in both ROI and whole-brain analyses, the psychosis risk group e

42 n both children's age and the specific brain ROIs.

43 used to correct activity traces on an ROI-by-ROI basis.

44 g a simplified BP(ND), given as BP(ND-t) = C(ROI) - C(cerebellar hemispheres)/C(cerebellar hemisphere

45 ori-motor cerebral and supramodal cerebellar ROIs and vice versa) in the ASD group.

46 red by two radiologists using three circular ROIs (three-ROIs), single-section (SS), and whole-tumor

47 n will most likely proceed via cometabolism (ROI < 1) or direct metabolism (ROI >/= 1).

48 Women with higher FTP-signals in composite ROI exhibited faster cognitive decline than men (p = 0.0

49 alysis of replicas, of different conditions, ROI calculation, multivariate analysis, determination of

50 the ipsilateral compared with contralateral ROI (SUV(Th), 50-60 min summed data) at acute and chroni

51 lculated and compared with the corresponding ROI in the opposite hemisphere.

52 unctional connectivity between each cortical ROI and its corresponding thalamic ROI was quantified an

53 tex target ROI, individual cerebral cortical ROIs were assessed as targets.

54 nectivity with six a priori defined cortical ROIs covering most of the cortical mantle.

55 Using anatomically defined ROIs in the caudate, amygdala, and visual cortex, we dev

56 tified neuroradiologist classified different ROIs into Expected (E) and Non-Expected (NE) based on th

57 DTI ROI-based analysis revealed a significant diagnosis by g

58 estigated with ARICS by generating a dynamic ROI.

59 ted the effect of sex on FTP-signal for each ROI after adjusting for age and cohort.

60 ctional neurosurgeon and DTI values for each ROI were calculated and compared with the corresponding

61 For each ROI, a complete MRTM2 pharmacokinetic analysis, using th

62 iant texture features were obtained for each ROI.

63 and standard deviation of the SUVs for each ROI.

64 The average spectral data from each ROI and its group label were used to train our classific

65 The power spectrum of the BOLD within each ROI was calculated and divided into the following four f

66 ouple photo-tags to all proteins within each ROI, to a resolution of 0.67 microm in the xy-plane and

67 ethod) and elliptic region-of-interest (Elip-ROI) and region-growing (RG-ROI) techniques.

68 , and mean counts were calculated using Elip-ROI and RG-ROI techniques.

69 erver levels of agreement compared with Elip-ROI and manual traditional methods.

70 nces in FA values in the remaining evaluated ROIs, between MS patients and the control group.

71 The extracted ROIs are used for the segmentation of the LV cavity and

72 monotherapies accrue considerable financial, ROIs to patients and insurers as they increase national

73 served and donated kidney was the lowest for ROI and RCV (median, 3% and 4%; 95th percentile, 9% and

74 g intention-to-treat linear mixed models for ROI analysis and a permutation-based method for voxel-ba

75 an of BPND + 1 and DVR30-150 < 1.5), and for ROIs with high (18)F-AV-1451 binding (hROIs, mean of BPN

76 ied from 30 to 130 min), for all values, for ROIs with low (18)F-AV-1451 binding (lROIs, mean of BPND

77 Development of a formal ROI-based QA workflow for registration assessment demons

78 Foveal ROI were analyzed to detect suspended scattering particl

79 X Elite 9000 identified SSPiM in more foveal ROIs than the AngioVue in the SCP (p = 0.005) and in the

80 Time series data extracted from ROIs determined through our General Linear Model (GLM) a

81 Further, ROI and functional connectivity results suggest that the

82 Most sequencing technologies now generate ROIs distributed across the whole genome.

83 Cortical and subcortical GMV ROIs were estimated with computational neuroanatomy tech

84 rcentage injected dose per gram in MR-guided ROIs.

85 es of FC between left- and right-hemispheric ROIs, which revealed that decreased interhemispheric and

86 degradability associated with PyOM of higher ROI; indicating that microbes exhibit a higher preferenc

87 Hyperreflective ROIs generally correspond to cysts, hyporeflective ROIs

88 enerally correspond to cysts, hyporeflective ROIs can be either cysts or NPAs.

89 The hyporeflective ROIs could be NPAs or cysts with both devices.

90 ropy in SM#2 (same malignant process); (iii) ROI area size; (iv) metastasis site; and (v) entropy in

91 We detected relaxation of imprinting (ROI) and LOI of H19 in placentas not associated with dif

92 lation between HC types and ROI sizes was in ROI size of 4 mm.

93 ctures, there were large intra-ROI and inter-ROI differences (i.e., with no one measure consistently

94 thermore, we performed a region of interest (ROI) analysis of frontal fasciculi to detect potential c

95 mizes the selection of a region of interest (ROI) and a cutoff value for the automated classification

96 s (4 mm and 8 mm) of the region of interest (ROI) and asking two different radiologists (interobserve

97 anisotropy (FA) from 43 regions of interest (ROI) and average whole-brain FA were entered into univar

98 ak modelling for manual regions of interest (ROI) and segmented tissue masks.

99 Frontotemporal region of interest (ROI) and whole-brain exploratory analyses were conducted

100 However, our regions of interest (ROI) approach indicated that gray matter volume (GMV) an

101 the mean volumes of 18 regions of interest (ROI) constituting the functional networks specifically v

102 spatial pattern across a region of interest (ROI) covering 1 to ~5,000 cells.

103 res were extracted from Regions Of Interest (ROI) delineated on CT-scan using TexRAD software.

104 ntification of the tumor region of interest (ROI) from raw input MRI sequences by applying AI algorit

105 d on an a priori defined region of interest (ROI) in ventromedial prefrontal cortex (VMPFC), a brain

106 ysis on the basis of the region of interest (ROI) of VNCa CT numbers of infiltrated (n = 75) and norm

107 ree different methods of region of interest (ROI) positioning for apparent diffusion coefficient (ADC

108 h only a two-dimensional region of interest (ROI) surrounding each nodule, our CNN automatically reas

109 Then, a region of interest (ROI) that contains the LV is extracted from all heart se

110 mated for a user-defined region of interest (ROI) that encompasses the whole kidney.

111 were measured using the region of interest (ROI) through all lesions with ARFI elastography.

112 y small or intermediate Regions of Interest (ROI) to process in a single image, which makes the prepr

113 ight channel, in which a region of interest (ROI) was defined and continuously recorded by a frame ac

114 The region of interest (ROI) was intraorally scanned before surgery (S0), immedi

115 Spherical region of interest (ROI) was placed on the right hepatic lobe, spleen, pancr

116 Two regions of interest (ROI) were selected belonging to mesial and distal region

117 ) operationally define a region of interest (ROI), (ii) generate the head model from the structural M

118 from individual-lesion regions of interest (ROI), and patient-level, in which all lesions within a p

119 any spectral data) over Regions Of Interest (ROI), by performing per pixel operations or by applying

120 Foveal and extrafoveal regions of interest (ROI), defined as any area with an altered flow signal co

121 on the selection of the regions of interest (ROI), followed by a further data compression along the c

122 In the primary regions of interest (ROI), the A+N+ group (n = 45) had lower FDG SUVR at base

123 Region of interest (ROI)-based measures on T2-weighted images (T2wi) were qu

124 PND) was assessed in 10 regions of interest (ROI).

125 d and analyzed based on regions of interest (ROI).

126 h focuses on particular regions of interest (ROI).

127 tics (TBSS), followed by region-of-interest (ROI) analyses of correlations between mean FA in selecte

128 xel-based clustering and region-of-interest (ROI) analysis.

129 real-time imaging with a region-of-interest (ROI) method.

130 of target and reference region-of-interest (ROI) selection on SUVR effect sizes using interventional

131 mean liver stiffness and region-of-interest (ROI) size were compared by using paired t tests.

132 nding was analyzed using region-of-interest (ROI)- as well as voxel-based methods in both the DAT-ric

133 us were confirmed with a region-of-interest (ROI)-based approach.

134 hancement strategy using region-of-interest (ROI)-based diffusion tensor for quantification.

135 s calculated in a square region-of-interest (ROI).

136 g low-ADC and high-rCBV regions of interest (ROIs) (hereafter, ADC-rCBV ROIs) were generated in contr

137 of the spectra from the regions of interest (ROIs) achieved over 94%, 92%, and 96% accuracy on the tr

138 asures were assessed in regions of interest (ROIs) as well as vertex-wise map analyses.

139 egions were selected as regions of interest (ROIs) by a functional neurosurgeon and DTI values for ea

140 map was evaluated using regions of interest (ROIs) drawn from multiple high-resolution images, Google

141 After obtaining the regions of interest (ROIs) from original dataset, the first step is to train

142 natomical or functional regions of interest (ROIs) given their biologically meaningful interpretation

143 errogating micron-scale regions of interest (ROIs) in mammalian tissue, with no requirement for genet

144 Regions of interest (ROIs) including all atrophic and border regions were sel

145 The regions of interest (ROIs) of the murals were manually labeled and grouped in

146 e asked to draw various regions of interest (ROIs) on specific features and report the maximum, minim

147 arceled into functional regions of interest (ROIs) on the basis of connectivity with six a priori def

148 th glioblastoma in five regions of interest (ROIs) per patient in the NEPTR at preoperative magnetic

149 nd we examined FC among regions of interest (ROIs) previously implicated in language comprehension, i

150 cted bilateral a priori regions of interest (ROIs) relevant to MDD (anterior temporal, ventromedial p

151 n each stained section, regions of interest (ROIs) were chosen and matched to the corresponding ADC m

152 ive analysis, segmental regions of Interest (ROIs) were divided into four left ventricular (LV) and a

153 Two rectangular regions of interest (ROIs) were placed at mandibular posterior interdental bo

154 ified all 3-dimensional regions of interest (ROIs) with increased tracer uptake.

155 h was assessed in three regions of interest (ROIs), as well as in a voxel-based analysis in brain WM.

156 erformed for unilateral regions of interest (ROIs), distinguished in two broad domains as sensori-mot

157 to create 14 bilateral regions of interest (ROIs).

158 ntally obtained genomic regions of interest (ROIs).

159 utive and corticolimbic regions of interest (ROIs).

160 o-pons SUV ratios in 12 regions of interest (ROIs).

161 umes and single-section regions of interest (ROIs).

162 ls or manually assigned regions of interest (ROIs).

163 iding the volumes of 19 regions of interest (ROIs).

164 nd was quantified in 83 regions of interest (ROIs).

165 ortical and subcortical regions of interest (ROIs).

166 infrared imaging of the regions of interest (ROIs).

167 and contralateral brain regions of interest (ROIs).

168 rentiation index in two regions of interest (ROIs): parahippocampal place area (PPA) and lateral occi

169 for the following five regions of interest (ROIs): the dentate nucleus (DN), pons, substantia nigra

170 atter; 15 white matter) regions-of-interest (ROIs).

171 oid volume [MELV], smart region of interest [ROI] volume, renal cortex volume [RCV]) were performed i

172 oral areas as seeds (or regions of interest, ROIs), and measured whole-brain seed-based functional co

173 nalysis windows (a.k.a. regions-of-interest, ROIs) to landmarks in the collected data.

174 was performed from 23 regions of interests (ROIs) which were located in the following areas: level o

175 reas, resulting in 116 regions of interests (ROIs).

176 cross all structures, there were large intra-ROI and inter-ROI differences (i.e., with no one measure

177 ts of protection using return-on-investment (ROI) methods.

178 We propose a return-on-investment (ROI) parameter (DeltaE/Ea) for differentiating short-to-

179 return (11-year 2,421% return on investment [ROI]).

180 only used to maximize return on investments (ROI) in conservation.

181 effect is distributed unevenly over a large ROI and variable across subjects, it may not be detectab

182 as similar between lesion- and patient-level ROIs.

183 t any significant differences in all four LV ROIs (anterior, posterior, septal and lateral wall, 99 +

184 Ms and extracting multiple features for many ROIs simultaneously in a single image.

185 ticipants, decreased kurtosis in gray matter ROIs correlated with increased repetitive and restricted

186 o 0.48) between mean FA in many white matter ROIs and BSID cognitive, language, and motor scores.

187 ons between mean FA in selected white matter ROIs and each BSID subscale score.

188 spatial planning efforts aimed at maximizing ROI in biodiversity conservation.

189 Mean ROI sizes were 8495 mm(2) +/- 4482 for 2D GRE MR elastog

190 Mean counts in mediastinal ROI were computed from a fixed volume in 3 different reg

191 n entorhinal cortex, but entorhinal and meta-ROI SUVRs were not elevated in Braak IV or primary age-r

192 in a temporal meta region of interest (meta-ROI), entorhinal cortex and cortical/subcortical regions

193 cometabolism (ROI < 1) or direct metabolism (ROI >/= 1).

194 types was reliable in standard-applied 4-mm ROI.

195 types) between O1 and O2, and 4-mm and 8-mm ROI (p>0.05).

196 ypically developing group) for sensori-motor ROIs but predominantly reduced connectivity for supramod

197 - 0.08 vs 0.23 +/- 0.18, P = 0.000) or multi-ROI (0.16 +/- 0.14 vs 0.27 +/- 0.17, P = 0.009) analysis

198 ion were related to higher FA along multiple ROIs.

199 otal of 2720 anatomic and 50 tumor and nodal ROIs were delineated.

200 called plaques are neither single pixels nor ROIs.

201 NFL damage in patients with glaucoma, an OCT ROI approach appears superior to the OCT global RNFL thi

202 Principal component and cluster analyses of ROI volumes were used to identify patient clusters with

203 Entropy was a logarithmic function of ROI area in normal control tissues (aorta, psoas) and in

204 ractical solutions for the interpretation of ROIs with the help of epigenomic data.

205 The majority of ROIs were hypo-reflective with both instruments, while s

206 A larger number of ROIs were found in SCP (55 vs 39) and DCP (60 vs 49) usi

207 The axial profiles of ROIs corresponding to synapses were described using a Mo

208 Post hoc tailoring of ROIs is used because it allows researchers to adapt to i

209 ) was estimated as the sum of the volumes of ROIs classified as suspicious uptake.

210 However, we also show that a reliance on ROI-based prioritization can sometimes exacerbate disagr

211 ity voting on all patches' prediction of one ROI.

212 nation of the translatability of the optimal ROI obtained in this study to other populations.

213 Our ROI analyses found that duration estimates were correlat

214 d on the inferior frontal gyrus (IFG) as our ROI, as recent studies have demonstrated both neurofunct

215 e frontal lobes that has been missed by past ROI analyses.

216 within a patient were grouped into a patient ROI for analysis.

217 was measured by placing the largest possible ROI on either the left or the right side of the body out

218 An overall effect of primary ROIs (F(7, 112) 7.43, p < 0.0001), BSMSS score (F(1, 13)

219 A priori ROI analysis confirmed the relation of aHC BOLD response

220 or-corrected p0.007 over individual a priori ROIs corresponding to approximate Bonferroni-corrected p

221 ni-corrected p0.05 across all seven a priori ROIs).

222 by the concepts and combinations in a priori ROIs.

223 II cortical dysplasia on MRI, a quantitative ROI-based analysis (coefficient of variation) is also pr

224 Conclusion Volumetric analysis of ADC-rCBV ROIs in nonenhancing regions of GBM can be used to ident

225 status, the proportional volume of ADC-rCBV ROIs in nonenhancing regions significantly contributed t

226 Cho/NAA ratio in ADC-rCBV ROIs was compared with that in control regions by using

227 Results ADC-rCBV ROIs within contrast-enhancing and nonenhancing regions

228 ions of interest (ROIs) (hereafter, ADC-rCBV ROIs) were generated in contrast-enhancing and nonenhanc

229 uments, while slightly more hyper-reflective ROIs (grey) were detected with the PLEX Elite, more like

230 extraction method to detect the RBC region (ROI) from the background, and then separate touching RBC

231 peatability measurements of defined regions (ROIs) of tumour and normal tissue were quantified as per

232 All resulting ROI volumes were correlated with patient survival by usi

233 The resulting ROIs were processed using a convolutional neural network

234 counts were calculated using Elip-ROI and RG-ROI techniques.

235 f-interest (Elip-ROI) and region-growing (RG-ROI) techniques.

236 Planar HMR calculated using the RG-ROI method showed highest intra- and interobserver level

237 using whole-tumor volume and single-section ROI analyses.

238 95) but was only moderate for single-section ROI analysis (range, 0.50-0.63).

239 ducibility when compared with single-section ROI analysis.

240 d from whole-tumor volume and single-section ROIs for prediction of histopathologic response.

241 based on the signal integration of selected ROIs (regions of interest), is proposed that allows the

242 py algorithm that accepts arbitrarily shaped ROIs.

243 mples displayed LOI of IGF2 and 10.8% showed ROI.

244 iB intervals also showed strong, significant ROI-based intersubject Pearson correlations with R1,DED/

245 whether the ADC was acquired through single-ROI (0.10 +/- 0.08 vs 0.23 +/- 0.18, P = 0.000) or multi

246 ient (ADC) values were obtained with a small ROI method in several white matter tracts within NAWM in

247 s from meta-analysis results on standardized ROIs (regions-of-interest) across multiple studies.

248 Striatal ROI outcomes were confirmed by the voxel-based analyses

249 bendocardial, mid-portion, and subepicardial ROIs were placed on the LV lateral wall.

250 minantly reduced connectivity for supramodal ROIs; and 3) this atypical pattern of connectivity was s

251 of the anterior cingulate cortex as a target ROI resulted in larger effect sizes than the use of the

252 performance over RIR for anatomic and target ROI conformance, as shown for most comparison metrics (S

253 to the prespecified composite cortex target ROI, individual cerebral cortical ROIs were assessed as

254 h for the determination of an optimal target ROI and an associated cutoff value for the separation of

255 Ideally, the accuracy of our target ROI and cutoff value could be further validated with PET

256 , and generalization of the resulting target ROIs were evaluated by use of the standardized uptake va

257 etween a composite of sex-differentiated tau ROIs and cognitive decline.

258 cortical ROI and its corresponding thalamic ROI was quantified and compared across groups.

259 The ROI width associated with the optic DH was defined as th

260 The ROI-biodegradability relationship was sigmoidal with hig

261 ximately 2 mol (1)H per liter of bone at the ROI level.

262 ponding voxelwise correlations confirmed the ROI-based results.

263 In the ROI analyses, extrastriatal (123)I-FP-CIT binding ratios

264 Results: In the ROI analyses, extrastriatal (123)I-FP-CIT binding ratios

265 ound, and then separate touching RBCs in the ROI images by applying an improved random walk method ba

266 Ratio of FA in the ROI of the NEPTR to that in the contralateral side (FAco

267 The change in the ROI width was compared with the change in the global RNF

268 Significant differences in the ROI-to-ROI analysis were followed up with voxelwise seed

269 usion Tumor ADCs are highly dependent on the ROI positioning method used.

270 e single-subject stimulation site within the ROI, and (iv) conduct E-field modeling to identify the o

271 The ROIs included areas V1, V3a, hV4, hMT(+), and lateral oc

272 d effective connectivity pattern between the ROIs of the drug-cue processing network (amygdala --> hi

273 ere were no demyelinative lesions within the ROIs in any of the patients.

274 described using a Moffat function and this 'ROI-spread function' used to correct activity traces on

275 ain our proposed deep fusion models on those ROI patches which are randomly collected from all ROIs.

276 Three ROIs were drawn on the T1WI image in the tumours' centra

277 Respective accuracies of SS, WTV, and three-ROIs methods were 79% (49 of 62), 77% (48 of 62), and 61

278 ] and 0.648 [95% CI: 0.164, 0.895] for three-ROIs method, 0.608 [95% CI: 0.287, 0.844] and 0.582 [95%

279 adiologists using three circular ROIs (three-ROIs), single-section (SS), and whole-tumor volume (WTV)

280 thods yielded higher AUCs than did the three-ROIs method when determining CR from post-CRT ADC (0.874

281 Significant differences in the ROI-to-ROI analysis were followed up with voxelwise seed-based

282 ased functional connectivity (FC) and ROI-to-ROI connectivity in subacute right-hemisphere stroke pat

283 Positioning of the tracking ROI in the descending aorta achieved a significantly hig

284 ernative, 'delayed' position of the tracking ROI in the descending aorta.

285 Compared with traditional ROI-wise and voxelwise approaches, our method identified

286 ep features to classify the Normal and Tumor ROI patches.

287 The mean of the two ROIs was used to calculate mean FD by using the box-coun

288 Typical ROI-level measures used in these studies are summary sta

289 Using ROI-based and searchlight-based fMRI multivoxel pattern

290 Using ROI-based and whole-brain searchlight-based MVPA, we fou

291 Using ROI-based fMRI analysis, we measured fMRI activity for v

292 tained with NSA = 2 or 3 in some cases using ROI-based analysis.

293 ts of FA index were performed manually using ROI (region of interest) tool.

294 determined from CT and the left ventricular ROI, and mean counts were calculated using Elip-ROI and

295 fluorescent dyes or antibodies to visualize ROIs, then soaked in solutions containing the photo-tag:

296 donation volume of the preserved kidney was (ROI, MELV, RCV) 148.0 +/- 29.1 cm, 151.2 +/- 35.4 and 93

297 The interpretation of these genome-wide ROIs represents a challenge as the majority of them lie

298 guide for the interpretation of genome-wide ROIs within an epigenomic context.

299 was demonstrated by showing concordance with ROI analysis and prior knowledge of iron accumulation in

300 eement over spatial priorities improves with ROI methods.