ライフサイエンスコーパス: DWI

1 DWI (SE/EPI) was performed in the axial plane using b-va

2 DWI can be an effective diagnostic method for distinguis

3 DWI can be used to characterize renal lesions; the ADC o

4 DWI can contribute to differential diagnosis of chronic

5 DWI characteristics of lesions were noted, and their app

6 DWI had a sensitivity of 93.1% (27 of 29 lesions), a spe

7 DWI in conjunction with conventional imaging can potenti

8 DWI in PET/MR imaging has no diagnostic benefit for whol

9 DWI was also performed in vivo over 5 days.

10 DWI was post-processed using kurtosis (ADC(k), K), mono-

11 DWI+ lesions explain only a small proportion of the tota

12 DWI+ lesions explain the majority of incident lacunes an

13 DWI+ lesions preceded 4 of 5 incident lacunes and 3 of 1

14 DWI-FLAIR lesion mismatch was rated and NWU was measured

15 DWI-FLAIR mismatch was more prevalent than PWI-DWI misma

16 DWI/ADC is useful in differentiating high-risk patients

17 ween groups I and II (ADC values, P < .0001; DWI quotients, P < .0001; postcontrast quotients, P = .0

18 nd groups II and III (ADC values, P < .0001; DWI quotients, P = .016; postcontrast quotients, P = .04

19 Of the 2 DWI+ lesions evolving into WMH on follow-up, one explain

20 ng 'b' values of 300, 500, and 1000 s/mm(2), DWI signal intensity scores and ADC values are effective

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

22 Of the 36 DWI+ lesions with follow-up MRI, 2 evolved into WMH, 4 e

23 We identified 39 DWI+ lesions on 21 of 472 DWI scans in 9 of 54 subjects.

24 We identified 39 DWI+ lesions on 21 of 472 DWI scans in 9 of 54 subjects.

25 Reclassification of patients with TIA and a DWI lesion as "stroke" is under consideration.

26 simplified approach to assess results from a DWI protocol sensitive to the intravoxel incoherent moti

27 13%) had a double mismatch, 151 (35%) only a DWI-FLAIR mismatch, and 54 (13%) only a PWI-DWI mismatch

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

29 d a stroke with unknown time of onset with a DWI-FLAIR or perfusion mismatch, intravenous alteplase r

30 ast 3.0-T MRI of the knee with an additional DWI sequence.

31 Conclusion Advanced DWI methods showed significant correlations with histopa

32 We describe one advanced DWI modeling technique, called restriction spectrum imag

33 All DWI datasets were registered and intensity normalized pr

34 Results All DWI parameters were significantly different between pros

35 nt ischemic attack occurred more often among DWI+ patients (12 of 62) than among DWI- patients (6 of

36 en among DWI+ patients (12 of 62) than among DWI- patients (6 of 62), with a cumulative 5-year incide

37 with diffuse gliomas, who underwent ASL and DWI.

38 In DWI+ and DWI- patients, 8 and 2 events, respectively, occurred wi

39 rent cerebrovascular events between DWI+ and DWI- patients.

40 brain revealed unknown features of FLASH and DWI with potential applications in characterizing the st

41 ystematically (T1w, T2w, T2*w, T1w + Gd, and DWI), in order to discern a specific pattern of inflamma

42 on was calculated between DCE MR imaging and DWI parameters, and the potential of the different DWI-d

43 For combined analysis of DCE MR imaging and DWI, the BI-RADS-adapted reading algorithm, which adapte

44 lues of multiparametric, DCE MR imaging, and DWI were calculated.

45 All patients underwent conventional MRI and DWI examinations of the scrotum.

46 The results of MRI and DWI of the group of patients treated surgically were cor

47 The MRI and DWI results of non-surgical cases were correlated with t

48 Bilateral (23)Na and DWI sequences were performed before contrast material-en

49 ssection underwent DCE-MRI, dynamic PET, and DWI using a PET-MR scanner within one week prior to thei

50 I), and data set 2 contained precontrast and DWI sequences (DWI).

51 The use of PWI and DWI facilitated the diagnosis of PCNSL.

52 No correlation between (18)F-FDG uptake and DWI could be found across patients, but within individua

53 MRI scans (1.5T, T2-weighted, and DWI) of 140 patients with locally advanced rectal cancer

54 Advanced MRI techniques such as DWI and PWI suggested PCNSL.

55 We assessed DWI positivity in TIA and implications for reclassificat

56 Scores for synovial inflammation at DWI and contrast-enhanced MRI agreed in 37 of 45 partici

57 in recurrent cerebrovascular events between DWI+ and DWI- patients.

58 Finally, the relation between DWI and IHTT results was supported by additional results

59 MCA or within DWI lesions, FLAIR-HAs beyond DWI lesions were associated with better outcome (0.67, 9

60 Rs were found to be better on FB DWI than BH DWI (p<0.001).

61 hing technique is therefore preferable to BH DWI in the evaluation of abdominal organs by DWI.

62 r eight years of clinical experience in body DWI.

63 of bone metastases assessed with whole-body DWI can potentially be used as indicators of response to

64 Whole-body DWI was performed at baseline and after 12 weeks of olap

65 ating stage pT1-2 and pT3-4 tumors from both DWI techniques was assessed by receiver operating charac

66 h percentiles, skewness and kurtosis of both DWI sequences in patients with pT1-2 as compared to thos

67 Free breathing DWI technique reduces image noise and increases SNR for

68 r the proportion of progression explained by DWI+ lesions.

69 DWI in the evaluation of abdominal organs by DWI.

70 ghted images/apparent diffusion coefficient (DWI/ADC) images of 86 lymph nodes from 31 cancer patient

71 The commonest DWI finding in patients with definite TIA is a negative

72 e clinical reference standard and to compare DWI to contrast material-enhanced MRI for the detection

73 reduced field-of-view (FOV) and conventional DWI techniques.

74 ness of reverse phase encoding in correcting DWI geometric distortion for multimodal PET/MRI voxelwis

75 te random effects meta-analysis to determine DWI positive rates and influencing factors.

76 We determined DWI+ lesion evolution, WMH progression rate (ml/mo), and

77 rameters, and the potential of the different DWI-derived parameters for differentiation between malig

78 Early DWI/ADC lesions significantly predicted increased number

79 The presence of any early DWI/ADC lesion and increasing lesion volume were associa

80 At 3 months, early DWI/ADC lesion volume was significantly associated with

81 laboratory, and imaging findings (excluding DWI).

82 nt (alpha) obtained at stretched exponential DWI, ADC obtained with DKI modeling (ADCDKI), kurtosis w

83 l monoexponential DWI, stretched exponential DWI, diffusion kurtosis imaging (DKI), and diffusion-ten

84 es of the abdominal organs between BH and FB DWI sequences (p>0.05).

85 orty-eight patients underwent both BH and FB DWI.

86 SNRs were found to be better on FB DWI than BH DWI (p<0.001).

87 es between SNR values of organs on BH and FB DWIs.

88 ers from rFOV DWI (r: -0.741-0.682) and fFOV DWI (r: -0.449-0.449), besides parameters of ADCmin (0.3

89 ere significantly higher than that from fFOV DWI (P = 0.0410 and P = 0.0208).

90 more advantageous than the one based on fFOV DWI in differentiating T staging of rectal cancer and th

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

92 tal number of regions involved and the FLAIR/DWI score did not vary significantly between both groups

93 to scanning, reduced or explained the 7-fold DWI-positive variation.

94 s Sensitivity for detection of arthritis for DWI was 93% (13 of the 14 participants with arthritis we

95 sis of ischemic stroke patients screened for DWI-fluid-attenuated inversion recovery (FLAIR) mismatch

96 scan at 3 T, including reduced and full FOV DWI sequences.

97 overview of some of the recent findings from DWI studies.

98 tes of local fiber orientation obtained from DWI data that is unlikely to be overcome by improvements

99 the integrated PET/MR scanner, the VOIs from DWI and (18)F-FDG PET were both within the target volume

100 acquisition of both anatomic and functional DWI sequences provides an intrinsically "hybrid" dimensi

101 ged lymph nodes or peritoneal implants, high DWI signal greater than that in endometrium, and ADC les

102 c value of adding diffusion weighted images (DWI) to routine MRI examinations of the scrotum.

103 e quality of standard SE echo-planar imaging DWI with two high-spatial-resolution alternatives, RS ec

104 maging (PWI) and diffusion weighted imaging (DWI) allow for more detailed analysis of brain tumors in

105 uate the role of diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) values at

106 mager, including diffusion-weighted imaging (DWI) and DCE MR imaging.

107 nance (MR)-based diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) est

108 -encoding (MUSE) diffusion-weighted imaging (DWI) and single-shot DWI for lesion visibility and diffe

109 c performance of diffusion-weighted imaging (DWI) applied to the whole body largely contribute to the

110 Brain lesions on diffusion-weighted imaging (DWI) are frequently found after carotid artery stenting

111 Background Diffusion-weighted imaging (DWI) can depict the inflamed synovial membrane in arthri

112 with established diffusion-weighted imaging (DWI) compared with traditional single-parameter evaluati

113 gmentation using diffusion weighted imaging (DWI) data.

114 Remarkably, 3D diffusion weighted imaging (DWI) delivered unprecedented contrast within the modular

115 ication value of diffusion-weighted imaging (DWI) for assessing paradoxical puborectalis syndrome (PP

116 ate the value of diffusion-weighted imaging (DWI) for distinguishing between benign and malignant ren

117 Diffusion-weighted imaging (DWI) has been at the forefront of cancer imaging since t

118 Diffusion-weighted imaging (DWI) has emerged as the most sensitive magnetic resonanc

119 nhanced (DCE) or Diffusion Weighted Imaging (DWI) have been included in the evaluation of this patien

120 ostic benefit of diffusion-weighted imaging (DWI) in an (18)F-FDG PET/MR imaging protocol for whole-b

121 nt motion (IVIM) diffusion-weighted imaging (DWI) in the grading of gliomas.

122 Diffusion-weighted imaging (DWI) is a neuroimaging technique that has allowed us an

123 Diffusion-weighted imaging (DWI) is an MRI modality using strong bipolar gradients t

124 tingly, although diffusion-weighted imaging (DWI) is more frequently used to examine white matter tra

125 c resonance (MR) diffusion-weighted imaging (DWI) is sensitive to small acute ischemic lesions and mi

126 ), within/beyond diffusion-weighted imaging (DWI) lesion) or extent.

127 determinants of diffusion-weighted imaging (DWI) lesions on high-resolution magnetic resonance imagi

128 tions related to diffusion-weighted imaging (DWI) limit the evaluation of voxelwise multimodal analys

129 ate quantitative diffusion-weighted imaging (DWI) parameters derived from conventional monoexponentia

130 me and number of diffusion weighted imaging (DWI) positive/apparent diffusion coefficient (ADC) dark

131 a comprehensive diffusion-weighted imaging (DWI) protocol and characterized the white matter diffusi

132 Diffusion-weighted imaging (DWI) provides evidence of acute cerebral ischemia in a t

133 te (rs)-fMRI and diffusion weighted imaging (DWI) scans were undertaken before unilateral ballistic w

134 3 to 4 based on diffusion-weighted imaging (DWI) score of 5; and 71.7%-72.7% of lesions in both zone

135 connectome style diffusion-weighted imaging (DWI) sequence to quantify white matter integrity in both

136 Background Diffusion-weighted imaging (DWI) shows promise in detecting and monitoring breast ca

137 weighted MRI and diffusion-weighted imaging (DWI) signal and apparent diffusion coefficient (ADC) val

138 ss of whole-body diffusion-weighted imaging (DWI) to assess the response of bone metastases to treatm

139 tested by using diffusion-weighted imaging (DWI) to construct whole-brain white-matter connectomes.

140 gular resolution diffusion-weighted imaging (DWI) to evaluate the structural integrity of the CC in h

141 maging (MRI) and diffusion weighted imaging (DWI) to identify the brain structure correlates of the s

142 gnetic resonance diffusion-weighted imaging (DWI) typically indicates acute ischaemic stroke.

143 e the utility of diffusion weighted imaging (DWI) using Apparent Diffusion Coefficient (ADC) values i

144 Conclusion Diffusion-weighted imaging (DWI) was accurate in detecting arthritis in pediatric pa

145 plemented, while diffusion-weighted imaging (DWI) was much less performed.

146 Diffusion-weighted imaging (DWI) was obtained with 'b' values of 300, 500, and 1000

147 CTP and 24-hour diffusion-weighted imaging (DWI) was then undertaken to define the optimum CTP thres

148 us, longitudinal diffusion-weighted imaging (DWI) was used to investigate WM abnormalities in youth a

149 ts with positive diffusion-weighted imaging (DWI) were identified as imaging-based high-risk.

150 e imaging (MRI), diffusion-weighted imaging (DWI), and 1,356 large-format cellular resolution (1 micr

151 aging (DCE-MRI), diffusion weighted imaging (DWI), and dynamic positron emission tomography (PET) for

152 mpMRI including diffusion-weighted imaging (DWI), blood-oxygenation-level-dependent (BOLD), tissue-o

153 parameters from diffusion-weighted imaging (DWI), diffusion-tensor imaging (DTI), and intravoxel inc

154 ived SUVmean and diffusion-weighted imaging (DWI)-derived ADCmin was introduced as a combined variabl

155 py (FA) based on diffusion-weighted imaging (DWI).

156 pare it with 7-T diffusion-weighted imaging (DWI).

157 e breathing (FB) diffusion weighted imaging (DWI).

158 by absence of a diffusion weighted imaging [DWI] positive lesion on magnetic resonance imaging [MRI]

159 patients underwent conventional MR imaging, DWI, and contrast-enhanced MR imaging.

160 In DWI it showed restricted diffusion while PWI revealed lo

161 In DWI+ and DWI- patients, 8 and 2 events, respectively, oc

162 Using recent advances in DWI, we tested the hypothesis of reduced FD in premature

163 A statistically significant difference in DWI signal scores was detected between benign and malign

164 risk in DWI-positive TIA patients but not in DWI-negative patients.

165 educes the 90 days' recurrent stroke risk in DWI-positive TIA patients but not in DWI-negative patien

166 l towards cerebral parenchyma should include DWI, especially in pediatric patients.

167 FDG PET/MR imaging examination that included DWI.

168 ts underwent renal MR imaging which included DWI with subsequent ADC measurement.

169 olvement and the role of brain MRI including DWI and PWI in the evaluation of brain focal lesions.

170 magnetic resonance imaging (MRI), including DWI at 3 Tesla using the following b values - 0, 500 and

171 ignal intensity and a low or an intermediate DWI signal less than that in endometrium or lymph nodes

172 investigate whether periprocedural ischemic DWI lesions after CAS or carotid endarterectomy (CEA) ar

173 IVIM DWI and DCE MRI histogram parameters were quantified in

174 nderwent multiparametric MRI, including IVIM DWI and gadoxetic acid DCE MRI before (n = 24) and 6 wee

175 The IVIM DWI demonstrates efficacy in differentiating the low- fr

176 A transverse IVIM DWI sequence with 10 b values (0, 10, 20, 30, 50, 80, 10

177 t (ADC) maps from the three randomly labeled DWI methods.

178 Four hours later, DWI was performed.

179 Larger studies (n > 200) had lower DWI-positive rates (29%; 95% CI = 23.2-34.6) than smalle

180 y ischaemia occurred in 40 (66%) with a mean DWI/ADC volume 8.6 mL (0-198 mL) and lesion number 4.3 (

181 rospective study (2016-2018), three 5-minute DWI protocols were acquired at 3.0 T, including standard

182 rs derived from conventional monoexponential DWI, stretched exponential DWI, diffusion kurtosis imagi

183 tients who underwent magnetic resonance (MR)-DWI and MR-defecography were retrospectively reviewed.

184 ractography based on diffusion-weighted MRI (DWI) is widely used for mapping the structural connectio

185 compartment model of diffusion-weighted MRI (DWI) to characterize the relationship between RT and mic

186 his study was to use diffusion-weighted MRI (DWI) to noninvasively quantify spatial-temporal changes

187 rombolysis was comparable to multiparametric DWI-FLAIR MRI.

188 MRI included high-resolution multishell DWI, and 3-dimensional fluid-attenuated inversion recove

189 MUSE DWI ADC values showed a significant difference between m

190 nificant differences were found between MUSE DWI and single-shot DWI in the mean, maximum, and minimu

191 t, and quantitative differences between MUSE DWI and single-shot DWI were assessed using the Mann-Whi

192 ional review board-approved study, both MUSE DWI and single-shot DWI sequences were first optimized i

193 gle-shot DWI (kappa = 0.70).Conclusion: MUSE DWI is a promising high-spatial-resolution technique tha

194 esulted in better lesion visibility for MUSE DWI over single-shot DWI (kappa = 0.70).Conclusion: MUSE

195 ficance was defined at P < .05.Results: MUSE DWI yielded significantly improved image quality compare

196 t in TIA patients with positive and negative DWI.

197 inite specialist-confirmed TIA have negative DWI findings.

198 To determine whether positive or negative DWI TIA patients could get benefits from HST we conducte

199 fold increase compared to that with negative DWI (7 d, 10.9 versus 1.8, p < 0.001 and 90 d, 18.3 vers

200 t didn't exist in TIA patients with negative DWI (HR = 0.43; 95% CI, 0.14-1.33; p = 0.142).

201 patients with (DWI+) and without (DWI-) new DWI lesions on the post-treatment scan in the CAS and CE

202 llowing this initial success, the ability of DWI to detect inherent tissue contrast began to be explo

203 Purpose To study the diagnostic accuracy of DWI for the detection of arthritis compared with the cli

204 The accuracy of DWI-FLAIR mismatch was 68.8% (95% confidence interval [C

205 Parametric analysis of DWI and DCE MR imaging was performed, including a propos

206 single-parameter evaluations on the basis of DWI alone.

207 this study was to assess the feasibility of DWI in the early period after kidney transplantation.

208 Inclusion of DWI to routine MRI has a substantial value in improving

209 The omission of DWI for staging or restaging gynecologic cancer may sign

210 that assessed the diagnostic performance of DWI, DTI, and IVIM in the breast.

211 Several studies suggested the role of DWI in the prediction of development of infarctions in t

212 This study validates the use of DWI to provide novel functional information about implan

213 se of the study was to evaluate the value of DWI in differentiating benign and malignant solid kidney

214 d positive and negative predictive values of DWI findings were 92% (23 of 25 patients), 62% (16 of 26

215 a (in TZ, upgrading category 3 to 4 based on DWI score of 4 or modified DCE score of positive; in PZ

216 sions upgraded from category 3 to 4 based on DWI score of 4; 33.3%-57.1% for TZ lesions upgraded from

217 followed by quantitative parameters based on DWI, RAFF and (18)F-FACBC PET.

218 e lesions manifested restricted diffusion on DWI images.

219 are characterised by restricted diffusion on DWI, typically indicate acute or hyperacute ischemic inf

220 Ischemic brain lesions discovered on DWI after CAS seem to be a marker of increased risk for

221 The effects on DWI-related image matching and apparent diffusion coeffi

222 Areas of abnormal signal intensity on DWI images in keeping with bone metastases were delineat

223 Gray matter involvement on DWI was assessed among 37 patients with sCJD in 26 corti

224 The signal intensity of lesions on DWI images was analysed, and the apparent diffusion coef

225 JD show increased extent and degree of SI on DWI that correlates with disease duration and the degree

226 Patients with periprocedural DWI lesions might benefit from more aggressive and prolo

227 cer, but standard spin-echo (SE) echo-planar DWI methods often have poor image quality and low spatia

228 0.288-0.799; p = 0.005) outcomes in positive DWI patients.

229 py than those used DAPT in TIA with positive DWI (23.7% vs. 13.4%, p = 0.029).

230 ed stroke risk in TIA patients with positive DWI (hazard ratio [HR] = 0.54; 95% confidence interval [

231 The stroke risk of patients with positive DWI was about a four-fold increase compared to that with

232 ed stroke risk in TIA patients with positive DWI.

233 Accelerating prostate DWI by reducing the number of acquired averages and deno

234 Raw data from the prostate DWI scans were retrospectively gathered between July 201

235 e driven not merely by the presence of a PWI-DWI mismatch, although this analysis was underpowered.

236 DWI-FLAIR mismatch, and 54 (13%) only a PWI-DWI mismatch.

237 Evaluating both the DWI-FLAIR and PWI-DWI mismatch patterns in patients with unknown time of s

238 We defined PWI-DWI mismatch as ischemic core volume < 70ml, mismatch vo

239 Prevalence of PWI-DWI mismatch was similar in patients with (27%) or witho

240 oup of 208 randomized patients with PWI, PWI-DWI mismatch status did not modify the treatment respons

241 I-FLAIR mismatch was more prevalent than PWI-DWI mismatch (48%, 95% confidence interval [CI] = 43-53%

242 tortion were computed from optimal realigned DWI PET data, along with bootstrap confidence intervals.

243 imaging-fluid attenuated inversion recovery (DWI-FLAIR) mismatch were eligible.

244 Taken together, high-resolution DWI provides evidence of ischemic brain injury in the ma

245 ing and above histogram parameters from rFOV DWI (r: -0.741-0.682) and fFOV DWI (r: -0.449-0.449), be

246 cancer and the 90th percentile ADC from rFOV DWI was the value with the highest AUC (0.932).

247 AUCs of 75th and 90th percentiles from rFOV DWI were significantly higher than that from fFOV DWI (P

248 .370) and 25th percentile (-0.425) from rFOV DWI.

249 5) and 25th percentile (P = 0.006) from rFOV DWI.

250 hole-lesion histogram analysis based on rFOV DWI was overall more advantageous than the one based on

251 usion-weighted magnetic resonance imaging's (DWI-MRI) apparent diffusion coefficient (ADC) reveals wa

252 Second, DWI was compared with contrast-enhanced MRI regarding de

253 t 2 contained precontrast and DWI sequences (DWI).

254 From multi-shell DWI data, we quantified tissue microstructure of the CST

255 ults aged 25-27 years underwent single-shell DWI, from which a FD measure was derived using convex op

256 ion visibility for MUSE DWI over single-shot DWI (kappa = 0.70).Conclusion: MUSE DWI is a promising h

257 usion-weighted imaging (DWI) and single-shot DWI for lesion visibility and differentiation of maligna

258 oved image quality compared with single-shot DWI in phantoms (SNR, P = .001) and participants (lesion

259 were found between MUSE DWI and single-shot DWI in the mean, maximum, and minimum ADC values (P = .9

260 pproved study, both MUSE DWI and single-shot DWI sequences were first optimized in breast phantoms an

261 differences between MUSE DWI and single-shot DWI were assessed using the Mann-Whitney U test; signifi

262 etectible in a phantom on images from AR-SMS DWI.

263 seen on various MRI sequences (T1, T2, STIR, DWI, post-gadolinium T1 FS) were measured and biopsies w

264 All patients underwent TRUS, T1W, T2W, DWI, and 3D PRESSMRS sequences, and we also calculated A

265 The results indicate that DWI could replace contrast-enhanced MRI for imaging of s

266 We now report that DWI shows acute ischemia in 23% of patients clinically d

267 and segmentation approaches, we showed that DWI-based microstructure metrics varied substantially al

268 These findings suggest that DWI may have value in quantitatively assessing the pubor

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

270 as determined by comparing the scores of the DWI data set to those of the clinical reference standard

271 Analysis of the DWI data using constrained spherical deconvolution-based

272 Despite the exceptional quality of the DWI data, none of the methods demonstrated high anatomic

273 st dimension and lesion-average ADC on three DWI methods, reported measurement confidence, and rated

274 to correct geometric distortions related to DWI.

275 -FACBC PET derived parameters (V(T), SUV) to DWI and RAFF derived parameters did not improve LPOCV AU

276 lated potentials (ERPs), and related this to DWI measures of WM integrity.

277 om DCE-MRI (v(e), v(p), PS, F(p), K(trans)), DWI (ADC) and PET (K(i), K(1), k(2), k(3)) to assess if

278 Pearson correlations between tumor DWI and quantitative histologic parameters (nuclear, cyt

279 eurodevelopmental Cohort (PNC) completed two DWI scans approximately 20 months apart.

280 Histogram parameters from two DWI methods were calculated and correlated with histolog

281 ity maps of the implant were generated using DWI data.

282 sonance (MR) imaging, including high-b-value DWI and DTI at 3.0 T, before prostatectomy.

283 Multiple b-value DWI was imaged over the largest PN.

284 WB DWI is an efficient new method with high accuracy and wi

285 used only when (68)Ga-DOTATATE PET/CT and WB DWI are not available.

286 PET/CT in comparison to SSRS SPECT/CT and WB DWI: a significant difference in detectability was noted

287 whole-body diffusion-weighted MR imaging (WB DWI).

288 TIA patients were enrolled, 279 of whom were DWI positive and 281 used DAPT.

289 ised imaging features of atypical PRES where DWI images and ADC maps show restricted diffusion.

290 Then, it examines the ways in which DWI analyses have been extended across the broader psych

291 5 of 32 participants; 95% CI: 60%, 90%) with DWI when contrast-enhanced MRI was considered the refere

292 out arthritis were correctly classified with DWI; 95% CI: 62%, 92%).

293 ith arthritis were correctly classified with DWI; 95% confidence interval [CI]: 64%, 100%) and specif

294 ion of malignant lesions, when compared with DWI (2.53 +/- 0.69).

295 240 (54%) of all TIA patients presented with DWI lesions.

296 as not significantly higher in subjects with DWI+ lesions compared to those without (p = 0.195).

297 er DAPT could reduce stroke risk in TIA with DWI positive.

298 me event was compared between patients with (DWI+) and without (DWI-) new DWI lesions on the post-tre

299 trary to FLAIR-HAs at proximal MCA or within DWI lesions, FLAIR-HAs beyond DWI lesions were associate

300 ed between patients with (DWI+) and without (DWI-) new DWI lesions on the post-treatment scan in the