ライフサイエンスコーパス: FLAIR

1 FLAIR (35.4%) and T2W (28.3%) dominated feature contribu

2 FLAIR abnormality correlates moderately with the activat

3 FLAIR also appears to be highly sensitive but nonspecifi

4 FLAIR and FLAIR with controlled inversion (C-FLAIR) imag

5 FLAIR exemplifies a generally applicable approach for ex

6 FLAIR images were evaluated for the severity of the dise

7 FLAIR images were interpreted blindly and independently

8 FLAIR imaging has a sensitivity of 34% for cytologically

9 FLAIR is a randomised, phase 3, open-label, multicentre

10 FLAIR is highly sensitive and specific for the diagnosis

11 FLAIR MR imaging was performed in 62 patients (21 with p

12 FLAIR provides images with T2-weighted contrast and comp

13 FLAIR revealed precise spatial control of growth factor-

14 FLAIR scores were significantly higher than T2-weighted

15 FLAIR was the best individual sequence (LASSO-full featu

16 FLAIR* and T2* weighted images were used to identify cen

17 FLAIR-HAs favoured recanalisation (1.21, 95% CI 1.06 to

18 FLAIR-HAs were also associated with early recanalisation

19 FLAIR-HAs were not associated with functional outcome ov

20 FLAIR-HAs were not associated with functional outcome ov

21 FLAIR-MRI, Vizamyl amyloid-PET, and T1W-MRI quantified w

22 tropic-resolution (0.55 x 0.55 x 0.55 mm(3)) FLAIR* images.

23 ical regions with high-spatial-resolution 3D FLAIR MR imaging at 7.0 T.

24 Contrast Enhanced Delayed (CED)-MRI using 3D FLAIR and STIR sequences was performed every 3-6 months,

25 n with a single-slab, three-dimensional (3D) FLAIR sequence.

26 hatic hydrops can be studied on MRI using 3D-FLAIR delayed post-contrast images.

27 derived from magnetic resonance imaging (3T, FLAIR) and adjusted for intracranial volume (ICV).

28 luated for the severity of the disease and a FLAIR/DWI score was used.

29 A cut-point of 6.6 h was established for a FLAIR SIR <1.15, with an 89% sensitivity and 62% specifi

30 Incorporation of a FLAIR sequence into the routine MR evaluation of patient

31 als and Methods In this prospective study, a FLAIR inversion pulse was designed using optimal control

32 ted imaging (DWI) and could replace acquired FLAIR sequence (real FLAIR) and shorten MRI duration.

33 T1W, T2W, T1-contrast enhanced (T1-CE), ADC, FLAIR], individual MRI sequences and combined T1-CE and

34 for T1-weighted (0.87 vs 0.82; P < .001) and FLAIR (0.88 vs 0.85; P < .001) contrasts.

35 ividual MRI sequences and combined T1-CE and FLAIR sequences.

36 ptom onset) MRI data sets including DWI) and FLAIR sequences obtained in consecutive patients with AI

37 FLAIR and FLAIR with controlled inversion (C-FLAIR) images were ac

38 imulated in which the T1-weighted images and FLAIR images were missing.

39 articipants aged 69-71 years received T1 and FLAIR volumetric MRI, florbetapir amyloid-PET imaging, a

40 presents with hyperintense signals on T2 and FLAIR sequences.

41 entional sequences T1, proton-density/T2 and FLAIR.

42 -white junction, increased signal on T2- and FLAIR-weighted images in the gray and subcortical white

43 ease heterogeneity) from enhancing tumor and FLAIR hyperintensity.

44 habitat (necrotic core, enhancing tumor, and FLAIR-hyperintense subcompartments), 1008 radiomic descr

45 only produced higher SNR for T1-weighted and FLAIR images but also higher CNRs for all three sequence

46 ctively, when replacing both T1-weighted and FLAIR images; 0.84, 0.74, and 0.97 when replacing only t

47 sion recovery (FLAIR) hyperintense arteries (FLAIR-HAs) on brain MRI and prognosis after acute ischae

48 1 and proton-density/T2-weighted, as well as FLAIR, double inversion recovery and phase-sensitive inv

49 Measurements were performed on axial FLAIR images with section thickness of less than 5 mm.

50 se data have important implications, because FLAIR is performed without the costs and inherent risks

51 The DWI-FLAIR mismatch was evaluated on both FLAIR data sets by four independent readers.

52 In the 24 patients who underwent both FLAIR and gadolinium-enhanced T1-weighted MR imaging, th

53 There were 58 studies in which both FLAIR and contrast-enhanced T1-weighted spin-echo MR ima

54 ncreased CSF signal intensity noted on brain FLAIR MR images.

55 e protein was identified in 70 (75%) ears by FLAIR MR-imaging and was strongly associated with the pr

56 C-FLAIR had 13.8% higher specific absorption rate (0.033 v

57 se ratio (CNR) were computed for FLAIR and C-FLAIR, with differences between the sequences evaluated

58 Conclusion C-FLAIR with robust RF inversion showed practical eliminat

59 FLAIR and FLAIR with controlled inversion (C-FLAIR) images were acquired at 3 T in a phantom designed

60 Results C-FLAIR exhibited nearly perfect inversion in the presence

61 A method called FLAIR (fluorescence activation indicator for Rho protein

62 For combined T1-CE/FLAIR sequence, adaBoost-full feature set was the best p

63 using FLAIR only, mp-MRI and combined T1-CE/FLAIR sequence.

64 rops was identified on delayed post-contrast FLAIR sequences.

65 indicator of sclerosis)-based on 2D coronal FLAIR sequences-in the hippocampus were manually segment

66 ESIGN, SETTING, AND PARTICIPANTS: The DEFINE-FLAIR multicenter study randomized patients with coronar

67 DWI-FLAIR lesion mismatch was rated and NWU was measured in

68 DWI-FLAIR mismatch was more prevalent than PWI-DWI mismatch

69 in patients with (27%) or without (24%) DWI-FLAIR mismatch (p = 0.52).

70 benefit of alteplase in patients with a DWI-FLAIR mismatch seems to be driven not merely by the pres

71 had a double mismatch, 151 (35%) only a DWI-FLAIR mismatch, and 54 (13%) only a PWI-DWI mismatch.

72 stroke with unknown time of onset with a DWI-FLAIR or perfusion mismatch, intravenous alteplase resul

73 Interobserver reproducibility and DWI-FLAIR mismatch concordance between synthetic and real FL

74 formance of synthetic and real FLAIR for DWI-FLAIR mismatch estimation and identification of patients

75 A 0.064-T portable LF-MRI can identify DWI-FLAIR mismatch among patients with acute ischemic stroke

76 low-field (LF)-MRI scanner can identify DWI-FLAIR mismatch in acute ischemic stroke.

77 olysis was comparable to multiparametric DWI-FLAIR MRI.

78 The accuracy of DWI-FLAIR mismatch was 68.8% (95% confidence interval [CI] =

79 ing-fluid attenuated inversion recovery (DWI-FLAIR) mismatch were eligible.

80 Regarding DWI-FLAIR mismatch, interobserver reproducibility was substa

81 Evaluating both the DWI-FLAIR and PWI-DWI mismatch patterns in patients with unk

82 The DWI-FLAIR mismatch was evaluated on both FLAIR data sets by

83 nd March 2018 with T2-weighted SSFSE and EPI-FLAIR images were reviewed.

84 rater reliability (kappa = 0.91-0.95 for EPI-FLAIR images and 0.80-0.87 for T2-weighted SSFSE images)

85 higher on EPI-FLAIR images in all lobes (EPI-FLAIR images: 1.6-2.1; T2-weighted SSFSE images:1.2-1.2;

86 nd subplate were significantly higher on EPI-FLAIR images in all lobes (EPI-FLAIR images: 1.6-2.1; T2

87 Subplate identification on EPI-FLAIR images was superior to that on T2-weighted SSFSE i

88 y significant between the two sequences (EPI-FLAIR:1.8-2.4; T2-weighted SSFSE: 2.0-2.2; P < .001).

89 Fast FLAIR and fast SE imaging provided the smallest coeffici

90 Fast FLAIR images have noticeable T1 contrast making gadolini

91 Fast FLAIR imaging provided the smallest normal range and SD

92 ft and right hippocampi was smallest at fast FLAIR imaging.

93 T2 measurements obtained at dual-echo fast FLAIR imaging may help detect subtle hippocampal abnorma

94 However, postcontrast fast FLAIR images may be useful for detecting superficial abn

95 ent in 14 studies, whereas postcontrast fast FLAIR images showed superior enhancement in 15 studies.

96 T1-weighted images than on postcontrast fast FLAIR images.

97 nd other areas better with postcontrast fast FLAIR imaging.

98 typically better seen with postcontrast fast FLAIR imaging.

99 The first FLAIR sequence was performed with the child breathing 10

100 cted contralateral tissue, and 98 +/- 12 for FLAIR hyperintense regions surrounding tumors.

101 ed A(1) scores were significantly better for FLAIR imaging (0.96 +/- 0.01 [standard error]) than for

102 trast-to-noise ratio (CNR) were computed for FLAIR and C-FLAIR, with differences between the sequence

103 ein CNR values were significantly higher for FLAIR* images than for T2-weighted FLAIR images (P < .00

104 - 0.02, and 0.89 +/- 0.04, respectively, for FLAIR imaging and 0.77 +/- 0.06, 0.99 +/- 0.01, and 0.89

105 ratentorially (P = .05) but were similar for FLAIR imaging (0.90 +/- 0.06) and T2-weighted MR imaging

106 the second echo of the SE sequence than for FLAIR (P<.002).

107 and demographic variables on WMH load (from FLAIR MRI) and verbal recall performance.

108 ct, clinically relevant representations from FLAIR and T1 post-contrast sequences.

109 0.013, and the median MSE for the generated FLAIR images ranged from 0.004 to 0.103.

110 Results All 35 patients had FLAIR lesion growth between the after-revascularization

111 only partially overlapped with areas of high FLAIR lesion probability, confirming the contribution of

112 and brain MRI in T1- and T2-weighted images, FLAIR and DWI sequences are the method of choice in pati

113 erred for gadolinium-enhanced brain imaging, FLAIR and T1-weighted MR imaging with MT saturation were

114 Longitudinal magnetic resonance imaging-FLAIR data were acquired over a 15-year period from 179

115 LAIR in depicting diffusion-weighted imaging-FLAIR mismatch and in helping to identify early acute is

116 ipants receiving every 4 or 8 week dosing in FLAIR, ATLAS, and ATLAS-2M were pooled through week 48.

117 ression areas had higher signal intensity in FLAIR (p = 0.02), rCBV (p = 0.038), and T1C (p = 0.0004)

118 ing and magnetic resonance imaging including FLAIR and diffusion tensor imaging sequences, from which

119 received consecutive contrasted 3D isotropic FLAIR imaging after gadobutrol administration showed tha

120 R-HAs at proximal MCA or within DWI lesions, FLAIR-HAs beyond DWI lesions were associated with better

121 LF-FLAIR SIR had a mean value of 1.18 +/- 0.18 <4.5 h, 1.24

122 istration pipeline was developed, and the LF-FLAIR signal intensity ratio (SIR) was derived.

123 Based on probabilistic voxel-wise mapping, FLAIR hyperintensity in the posterior hippocampus was si

124 seizures are best evaluated with nonenhanced FLAIR or T2-weighted imaging for low-grade tumors, vascu

125 he sensitivity, specificity, and accuracy of FLAIR for both readers were 82%, 93%, and 90%.

126 ll sensitivity, specificity, and accuracy of FLAIR for both readers were 85%, 93%, and 90%.

127 The accuracy of FLAIR images was 97% versus 91% for SE images (P<.02).

128 he sensitivity, specificity, and accuracy of FLAIR imaging were 86%, 91%, and 89%; the sensitivity, s

129 Evaluation of FLAIR can be omitted.

130 Evaluation of FLAIR sequences did not improve the correlation.

131 linical or imaging outcomes with presence of FLAIR-HAs after AIS.

132 logists preferred the contrast properties of FLAIR to those of SE images by a significant margin (P<.

133 Regions of FLAIR hyperintensity (as an indicator of sclerosis)-base

134 Moreover, the (sub-)segmentation of FLAIR signal displayed varying degrees of vascular patho

135 d subgroup analyses by treatment or types of FLAIR-HAs defined by location (at proximal/distal middle

136 s a moderate correlation with the volumes of FLAIR abnormality in metastases (rho = -0.50) and mening

137 te SAH cases were interpreted as abnormal on FLAIR images by both readers.

138 Purpose To reduce artifacts on FLAIR images by using an optimized inversion pulse that

139 IFSH were rated visually based on FLAIR MRI.

140 weighted spin-echo images and in 20 cases on FLAIR images.

141 Nine enhancing lesions were not detected on FLAIR-based subtraction maps (nine of 1442, 0.6%).

142 Findings on FLAIR* images included intralesional veins for lesions l

143 apy have significantly less lesion growth on FLAIR images between after therapy and day 5 compared wi

144 ttributing increased CSF signal intensity on FLAIR images to abnormal CSF properties such as hemorrha

145 An artificially hyperintense signal on FLAIR images can result from magnetic susceptibility art

146 ngeal metastases were detected by using only FLAIR images.

147 In this study, T2 and/or FLAIR hyperintensities confined to the temporal lobes, w

148 h VE and CJD, in LGI1/CASPR2-Ab-E, T2 and/or FLAIR hyperintensities were less likely to extend outsid

149 hanced sequences, with use of either DIR- or FLAIR-based subtraction maps.

150 new fluid-attenuated inversion recovery (or FLAIR) T2-hyperintense cerebellar lesions without contra

151 of chronic seizures warrants T2-weighted or FLAIR imaging and gadolinium-enhanced T1-weighted imagin

152 lesions that are hyperintense on precontrast FLAIR images, such as intraparenchymal tumors, may be be

153 hree-dimensional (3D) magnetization prepared FLAIR images were acquired in 12 volunteers (0.8 3 0.8 3

154 We present FLAIR (Full-Length Alternative Isoform analysis of RNA),

155 High-quality FLAIR* images of the brain were produced at 3.0 T, yield

156 To compare performance of synthetic and real FLAIR for DWI-FLAIR mismatch estimation and identificati

157 match concordance between synthetic and real FLAIR were evaluated with kappa statistics.

158 could replace acquired FLAIR sequence (real FLAIR) and shorten MRI duration.

159 had diagnostic performances similar to real FLAIR in depicting diffusion-weighted imaging-FLAIR mism

160 ), synthetic FLAIR was computed without real FLAIR knowledge.

161 ense on fluid-attenuated inversion recovery (FLAIR) 1H images (edema).

162 ed, and fluid-attenuated inversion recovery (FLAIR) acquisitions as part of an observational study; a

163 echoes, fluid-attenuated inversion recovery (FLAIR) and fluid and white matter suppression images wer

164 eighted fluid-attenuated inversion recovery (FLAIR) and T1-weighted postcontrast images from 48 patie

165 ting or fluid-attenuated inversion recovery (FLAIR) contrast.

166 en fast fluid-attenuated inversion recovery (FLAIR) data and enhancement volume with activation (Spea

167 WI) and fluid-attenuated inversion recovery (FLAIR) estimates lesion age to guide intravenous thrombo

168 nthetic fluid-attenuated inversion recovery (FLAIR) had diagnostic performances similar to real FLAIR

169 tion of fluid-attenuated inversion recovery (FLAIR) hyperintense arteries (FLAIR-HAs) on brain MRI an

170 were T2/fluid-attenuated inversion recovery (FLAIR) hyperintense, T1-hypointense, and appeared as per

171 g T2 or fluid-attenuated inversion recovery (FLAIR) hyperintensities, swelling or volume loss, presen

172 eighted fluid attenuated inversion recovery (FLAIR) image data in The Cancer Image Archive (TCIA).

173 lity T2-fluid-attenuated inversion recovery (FLAIR) images alone is fast and reliable.

174 eighted fluid-attenuated inversion recovery (FLAIR) images at disease onset and during follow-up.

175 ce (MR) fluid-attenuated inversion recovery (FLAIR) images between the images after endovascular ther

176 ed, and fluid-attenuated inversion recovery (FLAIR) images in 189 patients (101 women, 88 men; mean a

177 images, fluid-attenuated inversion recovery (FLAIR) images, and T2-weighted images.

178 g (EPI) fluid-attenuated inversion recovery (FLAIR) images, and to quantify differences in the depict

179 eighted fluid-attenuated inversion recovery (FLAIR) imaging (Fig 4), and susceptibility-weighted imag

180 eighted fluid-attenuated inversion recovery (FLAIR) imaging were reviewed to identify the presence of

181 ed with fluid-attenuated inversion recovery (FLAIR) imaging; the use of intravenously administered co

182 cale of fluid-attenuated inversion recovery (FLAIR) in a brain image creates the corresponding densit

183 (AIS), fluid-attenuated inversion recovery (FLAIR) is used for treatment decisions when onset time i

184 and T2-Fluid attenuated inversion recovery (FLAIR) magnetic resonance (MR) images.

185 ex with fluid-attenuated inversion recovery (FLAIR) magnetic resonance (MR) imaging at 7.0 T, whole-b

186 WI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) can guide thromb

187 for DWI-fluid-attenuated inversion recovery (FLAIR) mismatch in WAKE-UP who underwent PWI.

188 rved on fluid-attenuated inversion recovery (FLAIR) MRI have been proposed as indicators of elevated

189 ed 2572 fluid-attenuated inversion recovery (FLAIR) MRI scans from 262 participants in two phase 2 st

190 The fluid-attenuated inversion recovery (FLAIR) sequence forms part of the vast majority of curre

191 eighted fluid-attenuated inversion recovery (FLAIR) sequence is part of the routine brain MRI protoco

192 al (2D) fluid-attenuated inversion recovery (FLAIR) sequence with those seen with a single-slab, thre

193 nts and fluid-attenuated inversion recovery (FLAIR) sequences were performed by blinded readers to de

194 ed, and fluid-attenuated inversion recovery (FLAIR) sequences, MRI volumetry enables clinicians to ob

195 nced T2 fluid-attenuated inversion recovery (FLAIR) signal abnormality volume, Gaussian-normalized re

196 ocal T2 fluid attenuated inversion recovery (FLAIR) signal hyperintensities, ventricular size increas

197 ive new fluid-attenuated inversion recovery (FLAIR) T2-hyperintense cerebellar lesions without contra

198 cluding fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and perfusion

199 (T2W), fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and susceptibi

200 are T2, fluid-attenuated inversion recovery (FLAIR), double inversion recovery and phase-sensitive in

201 ted, T1 fluid attenuated inversion recovery (FLAIR), T2 FLAIR, susceptibility weighted imaging, const

202 mm fast fluid-attenuated inversion-recovery (FLAIR) imaging was added to the routine MR studies of th

203 ased on fluid-attenuated inversion-recovery (FLAIR) imaging.

204 nd fast fluid-attenuated inversion-recovery (FLAIR) imaging.

205 mulated fluid-attenuated inversion-recovery (FLAIR) magnetic resonance (MR) images obtained at differ

206 SE) and fluid-attenuated inversion-recovery (FLAIR) T2-weighted sequences and an ultra-low-SAR 3D spo

207 ntrast (fluid-attenuated inversion recovery [FLAIR] and T1-, T2-, and susceptibility-weighted) MRI pr

208 ng plus fluid-attenuated inversion recovery [FLAIR] at 3-mm section thickness) were compared with old

209 ed, and fluid-attenuated inversion recovery [FLAIR] images) were curated.

210 [DIR], fluid-attenuated inversion recovery [FLAIR]) and contrast material-enhanced (gadoterate meglu

211 ast and fluid-attenuated inversion recovery [FLAIR]) was trained to segment three multiclass tissue t

212 l (Fuzzy Logic Automated Insulin Regulation [FLAIR]), individuals aged 14-29 years old, with a clinic

213 nt were determined utilizing high resolution FLAIR, the presence of cochlear aperture obstruction was

214 High-isotropic-resolution FLAIR* images obtained at 3.0 T yield high contrast for

215 images and can be seen only on 2-mm sagittal FLAIR images.

216 ts, a healthy volunteer underwent sequential FLAIR imaging while breathing high-flow 100% O2.

217 ata beyond week 48 were summarized by study (FLAIR through week 96 and ATLAS-2M through week 152).

218 ts were trained on registered and subtracted FLAIR and T1 postlongitudinal images to localize and bet

219 ing a t test for both tumors and surrounding FLAIR hyperintense tissues versus GM, WM, CSF, and contr

220 Synthetic FLAIR could be generated with deep learning from informa

221 On the test set (20%), synthetic FLAIR was computed without real FLAIR knowledge.

222 ility was substantial for real and synthetic FLAIR (kappa = 0.80 [95% CI: 0.74, 0.87] and 0.80 [95% C

223 rs did not differ between real and synthetic FLAIR (sensitivity: 107 of 131 [82%] vs 111 of 131 [85%]

224 nsus, concordance between real and synthetic FLAIR was almost perfect (kappa = 0.88; 95% CI: 0.82, 0.

225 ial network was trained to produce synthetic FLAIR with DWI as input.

226 t-enhanced tumor and noncontrast-enhanced T2 FLAIR signal abnormality volumes decreased for the BEV g

227 id attenuated inversion recovery (FLAIR), T2 FLAIR, susceptibility weighted imaging, constructive int

228 ement was performed on T2-weighted (T2W), T2 FLAIR, and postcontrast T1-weighted (T1W) imaging using

229 ignificantly higher SNRs and CNRs in T2W, T2 FLAIR, and postcontrast T1W imaging (all P < 0.001).

230 d images than conventional images in T2W, T2 FLAIR, and postcontrast T1W imaging (all P < 0.001).

231 model, sensitivity of T1, proton-density/T2, FLAIR, double inversion recovery and phase-sensitive inv

232 l intensity of the affected areas on T1, T2, FLAIR and DW sequences were recorded.

233 abilistic Models (DDPM) to transform T1, T2, FLAIR, and proton density (PD) MR images.

234 r weighting of 18:2 between the T1-CE and T2-FLAIR MR image paths.

235 ive patients with pre-operative T1-CE and T2-FLAIR MR images and subsequent pathologically diagnosed

236 T1-weighted and T2-FLAIR MRI images were processed through FreeSurfer v6.0.

237 ith two encoding paths based on T1-CE and T2-FLAIR.

238 wo engineered sequences; T1post-T1pre and T2-FLAIR.

239 nal and volumetric correlates, as well as T2-FLAIR hyperintense white matter lesion burden and micros

240 Resection beyond T2-FLAIR borders (class 1) provided survival benefits, with

241 Lesions were segmented on both brain (T2-FLAIR or T2-weighted) and cervical (axial T2- or T2*-wei

242 ent using high-resolution 3D isotropic CE-T2-FLAIR imaging noninvasively; this technique may serve as

243 2 fluid-attenuated inversion recovery (CE-T2-FLAIR) imaging with a 3T magnetic resonance machine to s

244 f at least one relapse or a new/enlarging T2-FLAIR or gadolinium- enhancing lesion), and its interact

245 (class 3; 5-25 cm(3) remnant) or minimal T2-FLAIR resection (class 4; >25 cm(3) remnant), with 10-ye

246 ume (p = 0.002) and number (p = 0.017) of T2-FLAIR hyperintense lesions, and altered integrity of nor

247 TV analysis was more readily available on T2-FLAIR (96.1%), compared with 2D-T1-WI (61.8%) or 3D-T1-W

248 On T2-FLAIR and T1-weighted black-blood imaging, lymphatic ves

249 TV measurement was performed on T2-FLAIR using DeepGRAI, and on two dimensional (D)-weighte

250 l T2-fluid attenuated inversion recovery (T2-FLAIR) resection (class 2; 0-5 cm(3) remnant) had superi

251 overall survival compared with submaximal T2-FLAIR resection (class 3; 5-25 cm(3) remnant) or minimal

252 ival rate of 83% (76-88) for supramaximal T2-FLAIR resection (class 1).

253 ined differences between T1-only and T1 + T2-FLAIR cortical thickness data.

254 were analyzed to investigate whether T1 + T2-FLAIR cortical thickness measurements were superior to t

255 l atrophy were identified within the T1 + T2-FLAIR data (FDR corrected, p < 0.05).

256 In summary, T1 + T2-FLAIR data were associated with significant improvement

257 segmentation with the combination of T1 + T2-FLAIR images.

258 These analyses demonstrated that T1 + T2-FLAIR processed images significantly improved the segmen

259 ken soon after a mild stroke event, using T2-FLAIR brain MRI.

260 T1-weighted, T2-FLAIR and diffusion tensor imaging were also acquired.

261 core" was derived from the 3 categorical (T2/FLAIR-mismatch, contrast enhancement, and intratumoral s

262 within 1 year there was stabilization of T2/FLAIR abnormalities, and after 2 years there was complet

263 usion MRI abnormalities, stabilization of T2/FLAIR MRI abnormalities, and partial clinical stabilizat

264 s ('caps/tracks') to the index infarct on T2/FLAIR MRI.

265 hted fluid-attenuated inversion recovery (T2/FLAIR) signal in cortical white matter.

266 d coil consisted of pre-contrast axial-T2WI, FLAIR, DTI, 3D-ASL perfusion, SWI, 3D-T1WI, and post-con

267 -enhanced T1-weighted images are better than FLAIR images for detecting leptomeningeal metastases.

268 The total number of regions involved and the FLAIR/DWI score did not vary significantly between both

269 e blinded reviewers independently graded the FLAIR and SE images in 36 patients with intractable comp

270 or the segmentation of the whole lesion, the FLAIR hyperintensities, and the contrast-enhanced areas

271 and location were equally represented on the FLAIR images (11 000/100-200/2600 [repetition time msec/

272 rmance in the detection of MS lesions on the FLAIR images, as estimated by using areas under the alte

273 0.84, 0.74, and 0.97 when replacing only the FLAIR images; and 0.97, 0.95, and 0.92 when replacing on

274 er enhancement was more conspicuous with the FLAIR or T1-weighted sequences.

275 Contrary to FLAIR-HAs at proximal MCA or within DWI lesions, FLAIR-H

276 during general anesthesia with propofol, two FLAIR sequences were performed in 20 children with Ameri

277 I protocol based on four essential MRI types-FLAIR, and T1-, T2-, and susceptibility-weighted MRI-was

278 Unenhanced FLAIR is superior to gadolinium-enhanced T1-weighted MR

279 and signal intensity were assessed by using FLAIR imaging for the initial lesion (ie, visible after

280 across all scenarios, including models using FLAIR only, mp-MRI and combined T1-CE/FLAIR sequence.

281 ties were semi-automatically segmented using FLAIR MRI in participant space and normalized to a custo

282 erobserver agreement for identifying visible FLAIR hyperintensities was high (kappa = 0.85, 95% CI 0.

283 scan (adjusted P < .001 for both T2-weighted FLAIR and T1-weighted postcontrast images), except in sc

284 res (adjusted P < .001) for both T2-weighted FLAIR and T1-weighted postcontrast images.

285 igher for FLAIR* images than for T2-weighted FLAIR images (P < .0001).

286 er, the T2-weighted, FIESTA, and T2-weighted FLAIR images that used the CSF cleft sign to predict adh

287 We visualized the BF using T2-weighted FLAIR images.

288 ility of intensity features from T2-weighted FLAIR scans (adjusted P = .003 [z score normalization] a

289 Images from a T2-weighted FLAIR sequence were combined with images from a T2*-weig

290 ted, post-contrast T1-weighted, T2-weighted, FLAIR, and ADC images as well as two engineered sequence

291 matter that are hyperintense on T2-weighted/FLAIR sequences.

292 MRI at 3T with FLAIR and multiple channel coils identifies and clarifie

293 aclass correlation coefficients of 0.91 with FLAIR, 0.94 with DIR, and 0.99 with contrast-enhanced T1

294 Observers did better with FLAIR imaging in the detection of cortical lesions, and

295 upratentorially, performance was better with FLAIR imaging than with T2-weighted MR imaging.

296 d with CD8 T cell ALE, which correlates with FLAIR-MRI and EEG alterations.

297 articipants without dementia (55% male) with FLAIR and gradient recall echo MRI, tau-PET (AV-1451) an

298 ysis of the DEFUSE 2 study, 35 patients with FLAIR images acquired both after endovascular therapy (m

299 s-to-background tissue C/N was superior with FLAIR (P<.0001).

300 hods (T1- and T2-weighted MR imaging without FLAIR at 5-mm section thickness).