ライフサイエンスコーパス: multiparametric

1 s to assess whether there are differences in multiparametric (18)F-FDG PET/MRI biomarkers of contrala

2 Conclusion: Differences in multiparametric (18)F-FDG PET/MRI biomarkers, obtained f

3 Multiparametric 3-T MRI (T2-weighted, diffusion-weighted

4 nical trial, hybrid (18)F-choline PET/CT and multiparametric 3T MRI (mpMRI) of the pelvis were perfor

5 We develop and test a Microscopic Multiparametric Analysis by Phasor projection of Polariz

6 Here, we present a multiparametric analysis of clinical immunology data col

7 Our multiparametric analysis revealed that a group of glutam

8 Multiparametric analysis showed that classified voxels w

9 valuated using an original strategy based on multiparametric analysis, taking into account growth rat

10 rative MR imaging features (n = 31) included multiparametric (anatomic and diffusion-, perfusion-, an

11 Purpose To evaluate the association of multiparametric and multiregional magnetic resonance (MR

12 We expect this multiparametric and rapid phenotyping approach to accele

13 An unbiased multiparametric and traditional manual analysis of T-cel

14 We used a multiparametric approach combining flow cytometry, confo

15 The multiparametric approach contained dynamic contrast enha

16 Our multiparametric approach has highlighted repercussions o

17 the identification of tumors improved with a multiparametric approach versus a strictly T2-weighted o

18 This technique offers a multiparametric approach, providing an overview of the p

19 The recent advent of multiparametric approaches for myocardial deformation im

20 Thus, the approach of multiparametric bioelectronic monitoring offers capabili

21 Moreover, the same multiparametric bioelectronic platform can be used in co

22 e we apply a machine learning algorithm to a multiparametric brain PET imaging dataset acquired in a

23 enhancing lesions as benign or malignant at multiparametric breast MRI.

24 -enhancing lesions as benign or malignant at multiparametric breast MRI.

25 doxorubicin-induced cardiotoxicity by serial multiparametric cardiac magnetic resonance (CMR) and its

26 development and longitudinal application of multiparametric cardiac magnetic resonance imaging (MRI)

27 ents with takotsubo cardiomyopathy underwent multiparametric cardiac magnetic resonance imaging, incl

28 Purpose To derive and test multiparametric cardiac MRI models for the diagnosis of

29 Conclusion Multiparametric cardiac MRI models have high diagnostic

30 ertrophy [LVH]) and 27 healthy controls with multiparametric cardiovascular magnetic resonance includ

31 These are quantifiable by multiparametric cardiovascular magnetic resonance.

32 rent diffusion coefficient (ADC) mapping for multiparametric characterization of prostate disease.

33 with chemometrics is developed, providing a multiparametric characterization of vitreous humor as a

34 A multiparametric chemical optimization approach allowed t

35 Next, multiparametric classification was performed using lesio

36 Cardiac damage detectable by a multiparametric CMR approach can occur early in thalasse

37 This study aims at a retrospective multiparametric CMR assessment of myocardial iron overlo

38 Within 1 month, patients underwent multiparametric CMR, including assessment of regional an

39 sonance (MR) imaging in comparison with full multiparametric contrast material-enhanced prostate MR i

40 rsion 2; only thereafter, the remaining full multiparametric contrast-enhanced MR images were read.

41 ) first reviewed only a fraction of the full multiparametric contrast-enhanced MR images, consisting

42 .1%, 483 of 542) was similar to that of full multiparametric contrast-enhanced MR imaging (87.2%, 473

43 Full multiparametric contrast-enhanced MR imaging allowed det

44 r detection rate of biparametric versus full multiparametric contrast-enhanced MR imaging and between

45 sy findings underwent state-of-the-art, full multiparametric contrast-enhanced MR imaging at 3.0-T in

46 are equivalent to those of conventional full multiparametric contrast-enhanced MR imaging protocols.

47 olume, shape, and texture features) from the multiparametric (contrast material-enhanced T1-weighted

48 We performed multiparametric cytofluorimetric analysis of PD-1(+) NK

49 lysis and allows the unbiased acquisition of multiparametric data at the single-cell level for hundre

50 Here, we report the use of multiparametric data extracted from a single marker and

51 However, the evaluation of multiparametric data generated via time-of-flight mass c

52 Diagnostic values of multiparametric, DCE MR imaging, and DWI were calculated

53 tissues to be more effectively probed using multiparametric deep-tissue bioluminescence imaging.

54 both protein and nucleic acid biomarkers for multiparametric diagnostic assays.

55 urpose To evaluate the cost-effectiveness of multiparametric diagnostic magnetic resonance (MR) imagi

56 Multiparametric diagnostic models integrating different

57 Preclinical multiparametric diagnostics could help discover clinical

58 n online appendix, with proposals for future multiparametric directions to improve performance on the

59 AO-mediated metabolism should be part of the multiparametric drug optimization process, with the goal

60 ime window of thrombolysis was comparable to multiparametric DWI-FLAIR MRI.

61 crosensor, based on a polymer substrate, for multiparametric, electrochemical in vivo monitoring.

62 men (mean age, 66.2 years +/- 6.9) underwent multiparametric endorectal prostate MR imaging at 3 T an

63 In conclusion, multiparametric evaluation of the spatial distributions

64 The results were contrasted with those of multiparametric flow cytometry (MFC) and allele-specific

65 at distinct risk; by contrast, low-sensitive multiparametric flow cytometry (MFC) immunophenotyping (

66 Multiparametric flow cytometry (MFC) in amyloid light-ch

67 A multiparametric flow cytometry analysis was performed to

68 secretion in the ELISpot was confirmed using multiparametric flow cytometry and largely attributed to

69 Through the use of multiparametric flow cytometry established by the Europe

70 Multiparametric flow cytometry for quantitation of labil

71 Advances in multiparametric flow cytometry have revealed that the fu

72 Pre-HCT disease staging included 10-color multiparametric flow cytometry on bone marrow aspirates

73 Multiparametric flow cytometry on peripheral blood T cel

74 In this protocol, we describe five multiparametric flow cytometry panels that can be used a

75 We used multiparametric flow cytometry to analyze whole peripher

76 We used multiparametric flow cytometry to count 14 subsets of pe

77 extensive functional immunophenotyping using multiparametric flow cytometry to examine peripheral imm

78 %-100%]), 11 of 12 (92% [95% CI, 62%-100%]) (multiparametric flow cytometry), 14 of 21 (67% [95% CI,

79 We used multiparametric flow cytometry, functional NK cell assay

80 Methods: We used multiparametric flow cytometry, gene expression analysis

81 Taking this into account, we analyzed, using multiparametric flow cytometry, the co-expression of the

82 ch of high-throughput TCRbeta sequencing and multiparametric flow cytometry, we compared the TCR repe

83 25 HIV-infected patients (3-19 years) using multiparametric flow cytometry.

84 -remitting multiple sclerosis patients using multiparametric flow cytometry.

85 M. tuberculosis-specific CD4(+) T cells via multiparametric flow cytometry.

86 s and bronchoalveolar lavage fluid (BALF) by multiparametric flow cytometry.

87 lpha (TNF-alpha) production was analyzed via multiparametric flow cytometry.

88 y (10(-5) sensitivity threshold, assessed by multiparametric flow cytometry; both p<0.0001).

89 ow adaptation of the CSA in combination with multiparametric flow-cytometry (CSA-Flow) may enable sim

90 terial growth inhibition adopting a combined multiparametric high content screening and genomic appro

91 Using the multiparametric high-content imaging method, we evaluate

92 servational UK Biobank study underwent 3.0-T multiparametric (ie, three-dimensional T1-weighted diffu

93 patient comfort and increased throughput to multiparametric imaging and are evaluated and reviewed i

94 el methods for quantitative, transient-state multiparametric imaging are increasingly being demonstra

95 ity and robustness of our system on parallel multiparametric imaging at multiscale levels ranging fro

96 paving the way for the concept of multimodal multiparametric imaging for future more widespread clini

97 ssess the correlation and reproducibility of multiparametric imaging in head and neck cancer patients

98 In this research, we present a multiparametric imaging method allowing for concurrent m

99 Nanoscale multiparametric imaging of living bacteria reveals that

100 hodology for and investigated the utility of multiparametric imaging of tumor hypoxia and perfusion w

101 Multiparametric imaging of tumor perfusion and hypoxia w

102 Multiparametric imaging offers the opportunity to study

103 A multiparametric imaging phenotype vector was extracted f

104 Multiparametric imaging reveals that contractions consti

105 Noninvasive multiparametric imaging techniques are emerging tools th

106 The promise of PET/MRI includes multiparametric imaging to further improve diagnosis and

107 Such knowledge may extend the utility of multiparametric imaging to yield information regarding c

108 that it is possible to perform quantitative multiparametric imaging with heterogeneous RF fields, an

109 In multiparametric imaging with the integrated PET/MR scann

110 n exposure, higher soft-tissue contrast, and multiparametric imaging).

111 interaction analysis using double RNAi and a multiparametric, imaging-based assay.

112 Using the VectraR automated multiparametric immunofluorescence technique, we quantif

113 ed fluorescent indicators (2-in-1-GEFIs) for multiparametric in vivo analyses of the phytohormone abs

114 recombinant in vivo ROS probes would enable multiparametric in vivo ROS detection.

115 d technique competent for the acquisition of multiparametric information by creating a tissue section

116 We present a novel hybrid model, based on multiparametric intensities, which combines machine lear

117 The final discharge diagnosis, based on multiparametric items, was recorded.

118 Here we propose a validated methodology for multiparametric kinase biosensing in living cells using

119 , proton and phosphorus MR spectroscopy, and multiparametric liver MR, including hepatic proton MRS,

120 Sonographic parameters combined using multiparametric logistic regression were able to differe

121 Generating single-cell, multiparametric, longitudinal atlases and integrating th

122 adenocarcinoma in the context of colocalized multiparametric magnetic resonance (MR) imaging and hist

123 Purpose To determine if multiparametric magnetic resonance (MR) imaging mapping

124 Purpose To develop multiparametric magnetic resonance (MR) imaging models t

125 Multiparametric magnetic resonance (MR) imaging of the p

126 prostatectomy and underwent preoperative 3-T multiparametric magnetic resonance (MR) imaging, includi

127 ong peripheral zone (PZ) lesions seen at 3-T multiparametric magnetic resonance (MR) imaging.

128 Using multiparametric magnetic resonance (MR) techniques, we c

129 Multiparametric magnetic resonance imaging (mpMRI) has b

130 Multiparametric magnetic resonance imaging (mpMRI) has b

131 Pre-biopsy multiparametric magnetic resonance imaging (mpMRI) has t

132 eity in hepatocellular carcinoma (HCC) using multiparametric magnetic resonance imaging (mpMRI), and

133 s on small prostate tumors using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI).

134 Multiparametric Magnetic Resonance Imaging (MRI) can pro

135 Longitudinal multiparametric magnetic resonance imaging (MRI) followi

136 Multiparametric magnetic resonance imaging of his prosta

137 The increasing precision of multiparametric magnetic resonance imaging of the prosta

138 A novel multiparametric magnetic resonance microscopy (MRM) appr

139 itol on brain edema and oxygenation, using a multiparametric magnetic resonance-based approach (n = 1

140 CMR with multiparametric mapping is a promising tool to assess th

141 tiple-camera tandem-lens optical systems for multiparametric mapping of transmembrane potential, intr

142 luded volumetric MRI, diffusion imaging, and multiparametric mapping.

143 ation and utilization of metabotype data via multiparametric measurement of (i) metabolite levels, (i

144 e call FISH-Flow, allows for high-throughput multiparametric measurements of gene expression, a task

145 We found 2 multiparametric, metabolite-based scores linked independ

146 Flow cytometry is a ubiquitous, multiparametric method for characterizing cellular popul

147 iological and biomimetic systems for dynamic multiparametric microenvironmental control of emergent a

148 y was evaluated by comparing the AUC for the multiparametric model and the single best-performing qua

149 y considered when selecting metrics to build multiparametric models.

150 tomatized analysis, our results suggest that multiparametric molecular and functional imaging may be

151 Non-invasive simultaneous multiparametric monitoring allows the in vivo evaluation

152 imaging-guided interventions, which provide multiparametric morphologic and functional information a

153 raphy (PET) and computed tomography (CT) and multiparametric (MP) 3-T endorectal MR imaging before ro

154 nically important prostate cancers missed at multiparametric (MP) magnetic resonance (MR) imaging.

155 res further validation as part of a prostate multiparametric (mp) MRI protocol.

156 eneity across a tumor microenvironment using multiparametric MR (mp-MR).

157 mation that maps brain networks derived from multiparametric MR data with metabolic information from

158 suspicious for cancer were identified on 3-T multiparametric MR images.

159 ample +/- 21), intermediately suspicious via multiparametric MR imaging (31 mutations per sample +/-

160 ns per sample +/- 19), mildly suspicious via multiparametric MR imaging (37 mutations per sample +/-

161 for 134 patients who underwent preoperative multiparametric MR imaging (T2 weighted, diffusion weigh

162 Multiparametric MR imaging (T2-weighted, dynamic contras

163 were evaluated, 110 with prostatectomy after multiparametric MR imaging and 53 with negative multipar

164 robot-assisted radical prostatectomy without multiparametric MR imaging and IFS analysis.

165 ions, and this reflected concordance between multiparametric MR imaging and resultant histopathologic

166 tiparametric MR imaging and 53 with negative multiparametric MR imaging and systematic biopsy finding

167 enabled spatial mapping between preoperative multiparametric MR imaging and the gland.

168 Conclusion Multiregion spatial multiparametric MR imaging and whole-exome radiogenomic

169 Results Radiogenomic multiparametric MR imaging and whole-exome spatial chara

170 , and these results were similar to those of multiparametric MR imaging assessment of features in thi

171 Multiparametric MR imaging at 7 T of the breast eliminat

172 with prostate cancer (n = 133) underwent 3-T multiparametric MR imaging before prostatectomy.

173 ith a diagnosis of prostate cancer underwent multiparametric MR imaging before surgery for treatment.

174 the characterization of prostate lesions at multiparametric MR imaging by increasing reading specifi

175 Data System (PI-RADS) version 2 for prostate multiparametric MR imaging by using data from a multirea

176 Multiparametric MR imaging demonstrated either excellent

177 ent was evaluated on the basis of subjective multiparametric MR imaging features.

178 The clinical use of 7-T multiparametric MR imaging is feasible, provides good or

179 Conclusion Serial multiparametric MR imaging mapping can be used to evalua

180 Thus, if used clinically, 7-T multiparametric MR imaging may have potentially obviated

181 Conclusion Quantitative multiparametric MR imaging models developed by using cor

182 Before bilateral multiparametric MR imaging of the breast at 7 T, all pat

183 ostate-specific antigen levels who underwent multiparametric MR imaging of the prostate and subsequen

184 hted, and dynamic contrast material-enhanced multiparametric MR imaging of the prostate before radica

185 scale score, >/=3) focus at prebiopsy 1.5-T multiparametric MR imaging performed with T2-weighted, d

186 rotocol versus a standard six-pulse sequence multiparametric MR imaging protocol for detection of cli

187 e sequences compared with that of a standard multiparametric MR imaging protocol.

188 uided biopsy, suspicious lesions detected at multiparametric MR imaging were scored by five readers w

189 Multiparametric MR imaging with endorectal coil is super

190 Multiparametric MR imaging yielded a sensitivity of 100%

191 evidence of the positive clinical effect of multiparametric MR imaging-directed IFS analysis for pat

192 zation and segmentation of rectal cancers on multiparametric MR imaging.

193 ent robotic transperineal mapping biopsy and multiparametric MR imaging.

194 ere treatment-naive with endorectal coil 3-T multiparametric MR imaging.

195 (hereafter referred to as PSMA), and pelvic multiparametric MRI (hereafter referred to as pelvic MRI

196 taging of local disease by comparing it with multiparametric MRI (mpMRI) and radical prostatectomy (R

197 Multiparametric MRI (mpMRI) of the prostate has been ide

198 the cost-effectiveness of (18)F-choline PET/multiparametric MRI (mpMRI) versus mpMRI alone for the d

199 A combination of uPAR PET and multiparametric MRI (mpMRI) was performed, and the SUV i

200 of patients is recommended with biopsies and multiparametric MRI (mpMRI).

201 %), and 66% (19 of 29; 95% CI: 44%, 86%) for multiparametric MRI (P = .19, P = .02, and P = .17, resp

202 %), and 69% (24 of 35; 95% CI: 50%, 88%) for multiparametric MRI (P = .95, P = .14, and P = .07, resp

203 total of 310 consecutive patients underwent multiparametric MRI according to a standardized institut

204 gnostic accuracy and interrater agreement of multiparametric MRI and (68)Ga-PSMA-11 PET/MRI for the d

205 analysis of 40 consecutive men who underwent multiparametric MRI and (68)Ga-PSMA-11 PET/MRI within 6

206 Prostate multiparametric MRI and both cardiac and pelvic (15)O-H(

207 We then discuss the utility of prebiopsy multiparametric MRI and novel tumour markers.

208 tz and colleagues, the authors have combined multiparametric MRI and PET imaging to address the impor

209 ings rated the probability of ECE and SVI at multiparametric MRI and PET/MRI by using a five-point Li

210 sease course in MS by using a comprehensive, multiparametric MRI approach.

211 Multiparametric MRI can be used to direct prostate biops

212 We propose the use of patient-specific multiparametric MRI consisting of Dixon MRI and proton-d

213 ging Reporting and Data System (PI-RADS) for multiparametric MRI data acquisition, interpretation, an

214 In this study, we proposed to use a multiparametric MRI data as a sequence input for the con

215 nique improves the diagnostic performance of multiparametric MRI examinations of the prostate.

216 The addition of (18)F-DCFPyL to multiparametric MRI improved PPV by 38% overall (P = .02

217 stologic analysis and to compare with pelvic multiparametric MRI in men with biochemically recurrent

218 for (18)F-Fluciclovine PET and multisequence multiparametric MRI in the prediction of prostate cancer

219 This work demonstrates that multiparametric MRI is a powerful tool for the assessmen

220 difference in upgrade rates as a function of multiparametric MRI lesion size (P = .53-.59) or locatio

221 precision laser ablation, patients underwent multiparametric MRI of the prostate at 48 to 72 h, follo

222 Multiparametric MRI of the prostate gland is a relativel

223 antigen (PSMA) ((68)Ga-PSMA-11) PET/MRI and multiparametric MRI perform similarly for local staging

224 it may be difficult to detect using current multiparametric MRI protocols.

225 The network input consisted of 1970 multiparametric MRI scans from 1008 patients recruited f

226 derived from combined (18)F-fluciclovine PET/multiparametric MRI show potential for detection and cha

227 Combined (18)F-fluciclovine PET/multiparametric MRI shows potential for improving detect

228 The area under the curve (AUC) of multiparametric MRI signal to classify lesion age <4.5 h

229 Multiparametric MRI signal was compared with NWU using l

230 Comprehensive, multiparametric MRI studies are useful in this perspecti

231 Interrater reliability for multiparametric MRI versus PET/MRI did not differ for EC

232 Results For multiparametric MRI versus PET/MRI in ECE detection, res

233 For multiparametric MRI versus PET/MRI in SVI detection, res

234 The DRs of (18)F-choline PET/CT and multiparametric MRI were 56% and 74%, respectively.

235 ltiple sclerosis from images from unenhanced multiparametric MRI with moderate to high accuracy.

236 (64)CuCl2 PET/CT, (18)F-choline PET/CT, and multiparametric MRI within 15 d of each other.

237 3 + 4; clinical stage, <=T2c; lesion size at multiparametric MRI, <=20 mm) underwent focal MRI/transr

238 /- 9 [standard deviation], 18 men) underwent multiparametric MRI, including IVIM DWI and gadoxetic ac

239 isualized in 77 men by using (18)F-DCFPyL or multiparametric MRI, with imaging detection concordance

240 Using a multiparametric MRI-pathologic cross-correlative approac

241 on, especially when used in combination with multiparametric MRI.

242 (18)F-DCFPyL PET/CT imaging and 3.0-T pelvic multiparametric MRI.

243 edictive value and specificity when added to multiparametric MRI.

244 ion of primary prostate cancer compared with multiparametric MRI.

245 mprove detection of recurrence compared with multiparametric MRI; however, histopathologic validation

246 onal neural network (CNN) was trained on the multiparametric MRIs of the discovery set to classify ea

247 This multiparametric, multiscale approach provides opportunit

248 Here we report a Multiparametric Mutation Score (MMS) developed by combin

249 nical relevance and yield a patient Weighted Multiparametric Mutation Score (WMMS) that separates sev

250 ual acuity (BCVA); using the LogMAR scale, a multiparametric ocular surface score (OSS), and the Schi

251 Multiparametric optimization of early hits with moderate

252 xisting techniques, and also allows powerful multiparametric paired statistics.

253 variately associated with sensitization, but multiparametric PCA suggested a specific inflammatory re

254 to assess whether the addition of data from multiparametric pelvic MRI (mpMR) and whole-body MRI (wb

255 Leveraging the power of multiparametric PET/MRI in this manner has the potential

256 Here, we performed a multiparametric phenotypic characterization and unbiased

257 Using multiparametric phospho-flow and mass cytometry, we meas

258 Future studies should explore the multiparametric potential of MRI.

259 lack of intravital imaging tools capable of multiparametric probing of entire solid tumors with high

260 al heterogeneity in this model resulted in a multiparametric profile based on [(18)F]Fluorodeoxygluco

261 taneously, thus enabling pairwise-correlated multiparametric profiling of lymphocyte interactions ove

262 All men underwent multiparametric prostate and VERDICT MRI.

263 standard." INTERVENTIONS: Patients underwent multiparametric prostate magnetic resonance imaging to i

264 re was 17.9% (five of 28) as determined with multiparametric prostate MRI and targeted biopsies at 6

265 4.3 years; range, 42-84 years) who underwent multiparametric prostate MRI from March 2012 to July 201

266 d inter-center/reader variability of routine multiparametric prostate MRI limit its wider adoption.

267 Mass cytometry is a highly multiparametric proteomic technology that allows the mea

268 nse prediction when used in conjunction with multiparametric proton MRI.Published under a CC BY 4.0 l

269 del of cartilage informed by sample-specific multiparametric qMRI maps, obtained for eight osteochond

270 t a chemiluminescence immunoassay (CLIA) for multiparametric quantification of specific IgE to penici

271 Although we agree that improvements in multiparametric radial velocity (RV) modeling are necess

272 Interestingly, the multiparametric readout allowed for the differentiation

273 The multiparametric readout takes into account the intrinsic

274 lied to fluorescence-based assays to extract multiparametric readouts of treatment effects for hetero

275 Multiparametric regression analyses showed that in COVID

276 delivered high-performance mapping of these multiparametric relationships.

277 Purpose To generate multiparametric response map (mPRM) measurements in ex-s

278 Conclusion Multiparametric response maps revealed two abnormal stru

279 riuretic peptide) levels are included in the multiparametric risk assessment approach for pulmonary a

280 and high NT-proBNP categories as part of the multiparametric risk assessment approach outlined in the

281 ill discuss these methods with a view toward multiparametric risk assessment in DCM with the hope of

282 of CD94(+) (KLRD1(+)) NK cells in NHP using multiparametric RNA flow cytometry.

283 e previously developed a reliable method for multiparametric scaling of Fermi contacts to achieve fas

284 The multiparametric scan protocol assessed hepatic (T1 and T

285 The multiparametric schemes yielded AUC(ImageFusion) = 0.85

286 A simple multiparametric scoring function (AB-MPS) was devised th

287 he performance of the proposed CNN-LSTM with multiparametric sequence data was found to outperform th

288 A multiparametric sequence-specific model for predicting p

289 Mass cytometry is developing as a means of multiparametric single-cell analysis.

290 Multiparametric single-cell mass cytometry demonstrates

291 al snapshots soon after DU onset, this novel multiparametric statistical approach for comparative epi

292 Partial Least Squares Discriminant Analysis) multiparametric statistical methods allowed the cocoa be

293 Multiparametric structural analysis of these aptamers re

294 All participants underwent multiparametric structural and functional magnetic reson

295 We established a multiparametric structure-activity relationship, allowin

296 maging approach could enable high-resolution multiparametric tissue quantification within clinically

297 rpose To evaluate the diagnostic accuracy of multiparametric ultrasonography (US) consisting of gray-

298 Conclusion Multiparametric US allows for a reliable differentiation

299 When multiparametric volumes from two observers were combined

300 Feature matrices mapped the multiparametric voxel values in the vicinity of the biop