ライフサイエンスコーパス: a sensitivity of

1 Therefore, the Determine combo test had a sensitivity of 0% (95% confidence interval, 0 to 28) a

2 t current at 1-5mM glucose (R(2)=0.996) with a sensitivity of 0.02 microA mM(-1).

3 lted in robust and reliable assays, reaching a sensitivity of 0.03 and 1.3mug/L for sulfasalazine and

4 e linear detection range was 3-164 ppm, with a sensitivity of 0.05 muA mM(-1) cm(-2) with respect to

5 inear range of 1log(fg/mL)-1log(mug/mL) with a sensitivity of 0.07muA/log(g/mL)/cm(2) using cyclic vo

6 a working concentration range of 10-900 muM, a sensitivity of 0.08 A M(-1) cm(-2) (RSD 0.05), a detec

7 The sensor exhibited a sensitivity of 0.082 mu A/mu M/cm (2) with a limit of

8 600microm and a detection limit of 60nM with a sensitivity of 0.172microAmicroM(-1)cm(-2).

9 L mug(-1)) + 0.01 (R(2) = 0.999)) and showed a sensitivity of 0.21 muA L mug(-1) (16.15 muA muM(-1)).

10 f ventilator-associated pneumonia cases with a sensitivity of 0.325 and a positive predictive value o

11 ailure on the problem list (algorithm 1) had a sensitivity of 0.40 and a positive predictive value (P

12 NPs with a limit of detection of 0.8 ppb and a sensitivity of 0.42 muA ppb(-1).

13 A sensitivity of 0.5 fM in 10% serum (0.1 LD50/ml serum)

14 21 classified 18.3% patients as "frail" with a sensitivity of 0.50 and specificity of 0.82, whereas t

15 toff value, 3221.01 pg/mL) is presented with a sensitivity of 0.52 and a specificity of 0.95.

16 te a positive screen, the 4-item PC-PTSD has a sensitivity of 0.69 (95% CI, 0.55-0.81), a specificity

17 und 40 as indicating a positive screen, have a sensitivity of 0.70 (95% CI, 0.64-0.77), a specificity

18 y of 0.87 (CI, 0.85 to 0.89) for tobacco and a sensitivity of 0.74 (CI, 0.70 to 0.78) and specificity

19 ients with subjective memory impairment with a sensitivity of 0.79 and specificity of 0.91.

20 Although a sensitivity of 0.8 for rapid field loss was achieved a

21 or outcome at a corrected age of 1 year with a sensitivity of 0.80 (95% confidence interval [CI]: 0.5

22 In comparison, the 5-criterion PFP achieved a sensitivity of 0.82 but a positive predictive value of

23 d of 156 days predicted LTC involvement with a sensitivity of 0.875 and a specificity of 1.

24 ased on a diagnosis of periodontitis yielded a sensitivity of 0.91 and a specificity of 0.19.

25 m use (at a cutoff of 1+), the TAPS tool had a sensitivity of 0.93 (95% CI, 0.90 to 0.95) and specifi

26 owed the highest diagnostic performance with a sensitivity of 0.94, specificity of 0.71 and a diagnos

27 lected on the basis of their specificity for a sensitivity of 0.95 in diagnosing cancers with a Gleas

28 OC) curve for the classifiers was 0.973 with a sensitivity of 0.999 and specificity of 0.959.

29 PET/CT after SCT had a sensitivity of 1.0 (95% confidence interval [CI], 0.54

30 sor was observed from 100 to 500 ng/muL with a sensitivity of 1.306 emi/ng, detection limit of 3.133

31 The rGO MEA shows a sensitivity of 1.91nAmum(-1) to dopamine (DA) without

32 vities were determined in a 5 min assay with a sensitivity of 10(-8) U per assay, being 10(3)-10(4)-f

33 nd linearity over the 90-300mg/L range, with a sensitivity of 10.7microAcm(3)mg(-1) (R(2) = 0.983) an

34 Multiparametric MR imaging yielded a sensitivity of 100% (29 of 29 lesions), a specificity

35 han for DCE MR imaging (P = .003), which had a sensitivity of 100% (29 of 29 lesions), a specificity

36 anger sequencing as a reference, we obtained a sensitivity of 100% (5/5) and a specificity of 95% (58

37 f a PANWARDS score >/=25, corresponding with a sensitivity of 100% (95% CI, 63% to 100%) and a specif

38 quiring neurosurgical intervention, yielding a sensitivity of 100% (95% CI: 96.7%-100.0%) with a spec

39 served with the gold standard, demonstrating a sensitivity of 100% (95% confidence interval [CI], 90.

40 D approach ruled out 453 patients (16%) with a sensitivity of 100% (95% confidence interval [CI], 99.

41 With a sensitivity of 100% (95% confidence interval, 82.2%-10

42 EndMT markers for the diagnosis of ABMR had a sensitivity of 100% and a specificity of 85%.

43 LFD and qPCR combined had a sensitivity of 100% and a specificity of 85.7%.

44 Overall, the digital software had a sensitivity of 100% and a specificity of 90.7% with th

45 LISA a sensitivity of 43%, and Xpert MTB/RIF a sensitivity of 100% and specificities of 87%, 91%, and

46 train elastography and contrast-enhanced US, a sensitivity of 100% and specificity of 93.0% were achi

47 similar using the three different agars with a sensitivity of 100% and specificity ranging between 90

48 The results showed a sensitivity of 100% in animals with very poor body con

49 scriminated follow-up patients from HC, with a sensitivity of 100%, specificity of 90.91%, accuracy o

50 Structural OCT alone also had a sensitivity of 100%.

51 .8%), and PCR-HRM analysis of pellet DNA had a sensitivity of 100.0% (95% CI, 98.0 to 100.0%) and a s

52 rameters are in the physiological range with a sensitivity of 11.86 microA/M exhibited by ZnO-NRs and

53 ng out the sensor's optimal performance with a sensitivity of 11.86nm/microM and 28nM as the limit of

54 between 25 and 43 degrees C, the sensor had a sensitivity of 110+/-10Omega/ degrees C and an error o

55 arithm of the concentration of glucose, with a sensitivity of -119+/-8mV.decade(-1), a linear range t

56 The GONR-FET biosensor demonstrated a sensitivity of 12.5muA/mM (determined according to the

57 centration from 1 microM to 2000 microM with a sensitivity of 121.5 microA microM(-1)cm(-2) and a low

58 ed a broad detection range of 0.0003-1.0 mM, a sensitivity of 1685.1 muA mM-1 cm-2, and a low detecti

59 roM, had a detection limit of 0.32microM and a sensitivity of 17.92nAmicroM(-1).

60 was linear from 2.5 x 10(-3) to 6.5 mM with a sensitivity of 191.6 muA mM(-1)cm(-2) and a detection

61 The Ag(+) biosensor displayed a sensitivity of 2.00 x 10(8) +/- 0.06 M(-1), a limit of

62 d excellent electrochemical performance with a sensitivity of 2.4+/-1.8 nA/microM, a response time of

63 es and 0.01microgmL(-1) for the humam serum, a sensitivity of 2.59microA, adequate for the detection

64 st Asia, we find that a diagnostic tool with a sensitivity of 20 parasites per microlitre may be suff

65 0 pN/mum(2)) and its dynamic fluctuations at a sensitivity of 20 pN/mum(2) (20 Pa).

66 the same cascade detected VEGF protein with a sensitivity of 20nM showing that this universal method

67 erometric detection of NADH at 0.200V showed a sensitivity of (217+/-3)microAmM(-1)cm(-2) and a detec

68 al enzymatic superoxide production revealing a sensitivity of 2235AM(-1)m(-2).

69 ers of magnitude (10(-13)-10(-5)gmL(-1)) and a sensitivity of 24.7 +/- 0.4Omega per order of magnitud

70 m 0.05 muM to 1.0 muM and 30.0 muM to 1.0mM, a sensitivity of 263.2 muAmM(-1) and a LOD of 0.01 muM.

71 , a linear range between 5 and 400microM and a sensitivity of 27.5+/-2.5microAcm(-2)mM(-1).

72 than previously reported probes and exhibits a sensitivity of 276 muA cm(-2) mM(-1) with an in vitro

73 the highest figure of merit (FOM) of 2.4 and a sensitivity of 310 nm/RIU.

74 ased on 3-sigma) of 22.6 microM and exhibits a sensitivity of 3417 +/- 131 microAM(-1) according to t

75 range from 10(-11) to 10(-6) mol L(-1) with a sensitivity of 372 Omega per unit of log of concentrat

76 and 92% specificity (77%-98%), compared with a sensitivity of 38% (18%-62%) and a specificity of 91%

77 te and probable histopathological TBM, ELISA a sensitivity of 38%, and Xpert MTB/RIF a sensitivity of

78 concentration range from 0.05 mM to 0.7 mM, a sensitivity of 4.0 microA mM(-1) and a detection limit

79 -enzymatic V2O5 modified Au electrode showed a sensitivity of 4.519microAmicroM(-1) with a linear ran

80 n cell culture media glucose biosensor shows a sensitivity of 4.7 +/- 1.3 nA mM(-1)mm(-2) and a detec

81 mit of 0.01 M of d-glucose (i.e., 1.80 ppm), a sensitivity of 4.93 nm M(-1) (i.e., 164 nm per refract

82 oelectromechanical system (MEMS) device with a sensitivity of 40 microgal per hertz(1/2) only a few c

83 n a graphene oxide (GO) sensitive layer, had a sensitivity of 40+/-4mV/pH in the pH range between 4 a

84 .13 mAcm(-2) with a KM of 1.6 +/- 0.1 mM and a sensitivity of 400 +/- 20 muAcm(-2)mM(-1) while operat

85 5% for definite histopathological TBM, ELISA a sensitivity of 43%, and Xpert MTB/RIF a sensitivity of

86 perforated appendicitis (5b) was as follows: a sensitivity of 44.0% (80 of 182), a specificity of 93.

87 ction range between 0mM and 5mM lactate with a sensitivity of 45 +/- 6 muAcm(-2)mM(-1).

88 Xpert had a sensitivity of 46% (95% confidence interval [CI], 26%-

89 normal GLS (>16%) on the baseline study had a sensitivity of 47%, a specificity of 83%, and an accur

90 ursts" was associated with poor outcome with a sensitivity of 48% (95% CI, 35-61) and a specificity o

91 of 68% for the composite standard and ELISA a sensitivity of 48% and specificities of 78% and 98%, r

92 lue of 99%, false positive rate of 0.5%, and a sensitivity of 48%.

93 a risk threshold of 15%, the model exhibited a sensitivity of 49% (95% CI, 41%-57%) and a specificity

94 alyzed to extract the time required to reach a sensitivity of 5.0 x 10(-3) cd/m2 (time to rod interce

95 sed on covalent enzyme immobilization showed a sensitivity of 5.8 muA/mM, a linearity up to 0.12 mM o

96 ection range from 3 pg/mL to 10 mug/mL, with a sensitivity of 50 Omega (pg mL(-1))(-1).

97 to identify specific disease antibodies with a sensitivity of 50% and a specificity of 94.4%.

98 9m)Tc-trofolastat SPECT/CT detected LNI with a sensitivity of 50% and specificity of 87%, and TBR val

99 LAM LFA had a sensitivity of 50% for definite and probable histopath

100 dicating heavy alcohol consumption, yielding a sensitivity of 50%.

101 of ICU use for congestive heart failure had a sensitivity of 50-60% and specificity of 79-81% for de

102 n cohorts (p values <0.0001 by qRT-PCR) with a sensitivity of 53.7% (42.6-64.3) and a specificity of

103 for a WHZ <-3 and <135 mm for a WHZ <-2 with a sensitivity of 55.0% and 71.7%, respectively, and a sp

104 terns were associated with good outcome with a sensitivity of 56% (95% CI, 41-70) and a specificity o

105 threshold of 0.34 without false positives at a sensitivity of 56% at 12 hours after cardiac arrest.

106 iated best with rejection-free outcomes with a sensitivity of 57% and a specificity of 89%.

107 rd intergenic deletions, our method achieved a sensitivity of 57.5% and a specificity of 99.2%, while

108 m day 3 onward with a specificity of 87% and a sensitivity of 58% for a cut-off level of 203 mg/L (AU

109 ), a specificity of 99.8% (99.7%-99.9%), and a sensitivity of 58.6% (52.4%-64.7%).

110 sifier had a specificity of 95% (84-100) and a sensitivity of 59% (35-82).

111 Standard rotator cuff MR sequences yielded a sensitivity of 59% (95% CI: 0.422, 0.758) and specific

112 The LAT by measuring granulysin showed a sensitivity of 59.3% and specificity of 96.4%.

113 method showed an excellent performance with a sensitivity of 6.83 muA mM(-1) and a detection limit o

114 10%, and IVC greater than or equal to 8% had a sensitivity of 61% (95% confidence interval, 57-66%),

115 del predicted concentrations <50 nmol/L with a sensitivity of 61% and a specificity of 82%, whereas t

116 H and IS within 4.5hrs of symptom onset with a sensitivity of 61% and a specificity of 96% using a cu

117 For this cutoff, the BAT attained a sensitivity of 63%, specificity of 100%, positive pred

118 Chest radiography was estimated to have a sensitivity of 64% (95% CrI: 55, 73) and a specificity

119 mL on day 1 yielded a specificity of 70% and a sensitivity of 64% for the prediction of complications

120 r extraparenchymal NCC, the new criteria had a sensitivity of 65.9% and specificity of 94.9%.

121 n, and antimicrobial serologies and provided a sensitivity of 66% (95% CI 51-82) and specificity of 6

122 ture predicted tuberculosis progression with a sensitivity of 66.1% (95% CI 63.2-68.9) and a specific

123 occurred in 95 of 704 (13.5%) samples, with a sensitivity of 66.7%, specificity of 88.6%, positive p

124 agnosed weaning-induced pulmonary edema with a sensitivity of 67% (95% CI, 43-85%) and a specificity

125 ed panel for CCA diagnosis that demonstrated a sensitivity of 67% and specificity of 96%.

126 with a classification accuracy of 74% (with a sensitivity of 68% and a specificity of 78%).

127 LAM LFA had a sensitivity of 68% for the composite standard and ELIS

128 Finally, the Panbio IgG capture ELISA had a sensitivity of 69.6% (62.1 to 76.4%) and a specificity

129 A sensitivity of 7.5 and 11.7 kcps/MBq at the center for

130 AUS had a sensitivity of 70%, NPV of 84%, and PPV of 56% for the

131 e of 0.750 (P < 0.001) predicting E-HAT with a sensitivity of 70%.

132 The combination of PGI/II-HpAb-OPN, yielded a sensitivity of 70.2% and specificity of 78.3% at the p

133 reater than 2,000 mug/L predicted death with a sensitivity of 71% and a specificity of 76%.

134 s preceded by increased immune activity with a sensitivity of 71.4% (95% CI 30.3% to 94.9%) and a spe

135 for a WHZ <-3 and <140 mm for a WHZ <-2 with a sensitivity of 71.4% and 70.4%, respectively, and a sp

136 trast, the NLST eligibility criteria yielded a sensitivity of 71.4% and a specificity of 62.2%.

137 ical density (OD) of 0.87, the OPS-ELISA had a sensitivity of 71.6% and a specificity of 95.7% for Th

138 lue above 1.336 was able to predict CAV with a sensitivity of 72% and a specificity of 83%.

139 ension after density-based selection yielded a sensitivity of 72.1% and a specificity of 96.9%.

140 of 94.6% for M. tuberculosis detection, with a sensitivity of 72.5% in smear-negative specimens.

141 for a WHZ <-3 and <125 mm for a WHZ <-2 with a sensitivity of 72.9% and 63.2%, respectively, and a sp

142 ail of three DIVA antigens while maintaining a sensitivity of 73.3% (95%CI: 61.9, 82.9%) relative to

143 Stand-alone CAD reached a sensitivity of 74% at 1.0 false-positive mark per imag

144 tive and 2 had negative RT-QuIC findings for a sensitivity of 75% (95% CI, 36%-96%).

145 %) in Sierra Leone (n = 60; 44 patients) and a sensitivity of 75% (CI, 19% to 99%) and a specificity

146 In general, HRCM had a sensitivity of 75% and a specificity of 100% in identi

147 expressed as units IPs/kg) and ISI exhibited a sensitivity of 75% and specificity of 74% in predictin

148 LAM LFA had a sensitivity of 75% for definite histopathological TBM,

149 cally significant disease (>2.0 mm), AUS had a sensitivity of 76% and NPV of 89%.

150 g group (R(2)Y = 0.465, Q(2)cum = 0.343) had a sensitivity of 76.0% and a specificity of 71.4% in the

151 samples from the same group of patients had a sensitivity of 77% (95% CI, 57 to 89) and a specificit

152 lantation improved diagnostic precision with a sensitivity of 77.7% and a specificity of 96.1%.

153 Direct MTBDRplus at 2 months had a sensitivity of 78% (95% confidence interval [CI], 65 t

154 f 0.756 (SD, 0.046; 95% CI, 0.666-0.847) and a sensitivity of 78% and a specificity of 70%, 3.51 mg/L

155 eremia, a targeted toxicity on AAML0531, had a sensitivity of 78.3% and PPV of 98.1%.

156 d, for a cutoff value of 91.13 milliseconds, a sensitivity of 78.6% (95% CI, 60.5%-89.8%) and a speci

157 ntricle diameter of approximately 10 mm with a sensitivity of 79% (95% CI, 64-94) and a specificity o

158 fidence interval [CI] = 74.2% to 84.1%), and a sensitivity of 79.6% (95% CI = 74.2% to 84.1%) with an

159 (RT-QuIC) testing of cerebrospinal fluid has a sensitivity of 80 to 90% for the diagnosis of sporadic

160 entify subjects with conduction slowing with a sensitivity of 80% and 55%, respectively, and a specif

161 nd minimum thickness were 0.87 and 0.96 with a sensitivity of 80% and 93%, respectively, and a specif

162 er of viral respiratory tract infection with a sensitivity of 80% and specificity of 94% in distingui

163 ients were differentiated from controls with a sensitivity of 80.3% (95% CI: 76.7-83.5%) and a specif

164 periencing one or more of these symptoms had a sensitivity of 80.8% and a specificity of 51.2% for id

165 on/electrospray ionization-mass spectrometry a sensitivity of 81%, specificity of 69%, and negative p

166 MTBDR-Plus had a sensitivity of 81.0% and a specificity of 100%, with s

167 han or equal to striatum uptake) resulted in a sensitivity of 81.3% and a specificity of 84.3%.

168 s integrated EV double-filtration device had a sensitivity of 81.3% at a specificity of 90% (16 bladd

169 itives with en face OCTA alone, resulting in a sensitivity of 81.3%.

170 rve (AUC) (95% CI) = 0.817 (0.732-0.902) and a sensitivity of 81.6% and specificity of 71.0%.

171 had a specificity of 92% (95% CI 81-100) and a sensitivity of 82% (64-95).

172 edicted noninvasive ventilation failure with a sensitivity of 82% and a specificity of 87%.

173 ction of active renal vasculitis resulted in a sensitivity of 83%, specificity of 96%, and a positive

174 o classify cases, the EORTC/MSG criteria had a sensitivity of 83.3%.

175 The BioThreat-E test had a sensitivity of 84% (confidence interval [CI], 64% to 9

176 48%, fluid responsiveness is predicted with a sensitivity of 84% and a specificity of 90%.

177 for surveillance, rKR95 and rTR18 conferred a sensitivity of 84% based on a theoretical combined est

178 4:0 was discovered for sepsis diagnosis with a sensitivity of 84.1% and specificity of 85.7%.

179 swine IAV-alpha and H3N2 swine IAV-ss) with a sensitivity of 84.9% and a specificity of 100.0%.

180 rs, fetal de novo mutations were detected at a sensitivity of 85% and a positive predictive value of

181 ed (18)F-FDG-avid tumors to be detected with a sensitivity of 85% and a specificity of 71%.

182 ea under the curve of 0.83 (0.72-0.95), with a sensitivity of 85% and a specificity of 77% and was al

183 ies, this four-gene biomarker panel achieved a sensitivity of 85% and a specificity of 98%, with an a

184 od accurately predicted pMN recurrence, with a sensitivity of 85.3%, specificity of 85.1%, negative p

185 sample dilution of 1:400, the IgM ELISA had a sensitivity of 85.7% (95% credible interval [CrI], 77.

186 LISA a sensitivity of 38%, and Xpert MTB/RIF a sensitivity of 86% and specificities of 70%, 91%, and

187 thews correlation coefficient (MCC) of 0.59, a sensitivity of 86%, and a specificity of 72% for FS in

188 RCTs was statistically excellent; USG showed a sensitivity of 86.7% and a specificity of 100% for ful

189 % decline in FEV1 (PC20 ) </=16 mg/mL showed a sensitivity of 87% and a specificity of 36%.

190 ious DENV and secondary DENV infections with a sensitivity of 87.5% and specificity of 81.3%.

191 The Panbio IgM capture ELISA had a sensitivity of 87.6% (82.7 to 91.4%) and specificity o

192 The DPP T2 (non-treponemal) assay had a sensitivity of 87.9% (83.7-91.3) and specificity of 92

193 e disease patients and healthy controls with a sensitivity of 88% (84%-95%), and a specificity of 95%

194 95% confidence interval [CI], 0.73 to 0.83), a sensitivity of 88% (95% CI, 83 to 92), and a specifici

195 unit (ICU)-acquired infection (n = 29) with a sensitivity of 88% and specificity of 65%.

196 (with a positive predictive value of 81% and a sensitivity of 88%).

197 An abnormal GLS (</=16%) at baseline had a sensitivity of 88%, a specificity of 46%, and an accur

198 ntrast, fluorescence confocal microscopy has a sensitivity of 88-96% and specificity of 89-99% for th

199 The DPP T1 (treponemal) assay had a sensitivity of 88.4% (95% CI 84.8-91.4) and specificit

200 The Direct LPA had a sensitivity of 88.4% and a specificity of 94.6% for M.

201 Thus ultrasound had a sensitivity of 88.4% and a specificity of 97.3% in det

202 nge of hertz-to-kilohertz range and achieves a sensitivity of 880 pT/Hz(1/2) at 200 Hz in a micro-sca

203 cence intensity (MFI) identified sepsis with a sensitivity of 89% (81%-94%) and specificity of 87% (8

204 r had an AUC of 0.74 (95% CI, 0.68 to 0.80), a sensitivity of 89% (95% CI, 84 to 92), and a specifici

205 these features has a specificity of 97%, and a sensitivity of 89% for the presence of an EPG5 mutatio

206 ficity of 100% for full-thickness tears, and a sensitivity of 89.7% and a specificity of 98.8% for pa

207 For parenchymal NCC, the new criteria had a sensitivity of 89.8% and specificity of 80.7% and for

208 sensor based on protein adsorption displayed a sensitivity of 9.4 muA/mM, retaining linearity up to 0

209 cm proximal to the medial malleolus revealed a sensitivity of 90% (95% confidence interval [CI]: 75.4

210 ular rejection with a specificity of 84% and a sensitivity of 90%.

211 TBR values significantly predicted LNI with a sensitivity of 90%.

212 2 best discriminated between the groups with a sensitivity of 90.0% and a specificity of 88.1%.

213 A cutoff level of 134.5 ng/mL provided a sensitivity of 90.4% and a specificity of 74.1%.

214 .9% (95% CI 99.3%-100%) for major injury and a sensitivity of 90.7% (95% CI 88.3%-92.8%), a specifici

215 criteria were able to distinguish RRMS with a sensitivity of 90.9% and with a specificity of 87.1% a

216 dant for 94/98 samples tested, demonstrating a sensitivity of 90.91% (95% CI, 78.33% to 97.47%) and a

217 escence light above 57.3 arbitrary units had a sensitivity of 90.91% and a specificity of 80.60% for

218 ystem identified these two types of SCD with a sensitivity of 91% (78-98%) and a specificity of 88% (

219 SUVmax of 1.94 for (18)F-FDHT PET, yielding a sensitivity of 91% and a specificity of 100%; the opti

220 est non-ICU score of patients, >/=2 SIRS had a sensitivity of 91% and specificity of 13% for the comp

221 lassification using metabolic profiles shows a sensitivity of 91% and specificity of 88%.

222 A performed on 465 undiluted CSF samples had a sensitivity of 91%.

223 ses, bacterial infection was identified with a sensitivity of 91.7% (95% CI, 79.2%-100%) and 90.0% (9

224 enign from malignant lesions was 0.913, with a sensitivity of 91.9%, a specificity of 90.7%, a positi

225 For detecting OSSN, toluidine blue had a sensitivity of 92% (95% CI, 87%-96%), specificity of 3

226 With a sensitivity of 92%-95% and specificity of 85%-95%, PET

227 The Panbio Dengue Duo Cassette demonstrated a sensitivity of 92.1% (87.8 to 95.2%) and specificity o

228 The subgroup analysis showed a sensitivity of 92.3% (95% CI, 85.4%-96.6%) for C. albi

229 or the tree was 0.95 (CI95, 0.91-0.99), with a sensitivity of 93% and a specificity of 88%.

230 icroscopy, PCR-HRM analysis of smear DNA had a sensitivity of 93.0% (95% confidence interval [CI], 88

231 DWI had a sensitivity of 93.1% (27 of 29 lesions), a specificity

232 s of NCC versus no NCC, the new criteria had a sensitivity of 93.2% and specificity of 81.4%.

233 A cutoff of -44.9 HU provided a sensitivity of 93.3% (70 of 75), specificity of 92.4%

234 At a cut-off ADC value of </=0.99, it had a sensitivity of 93.3%, specificity of 90%, positive pre

235 ed (1 in 20) QA participants (99.4%), giving a sensitivity of 93.6% (95% CI 88.2%-97.0%) and a specif

236 03 clinical or seeded specimens demonstrated a sensitivity of 93.8% to 100% and a specificity of 98.0

237 .001), with a positive prediction of 94% and a sensitivity of 94%.

238 100%) for identifying S. aureus, as well as a sensitivity of 94.3% (range, 87.5% to 100%) and a spec

239 These data showed a sensitivity of 94.6% and a specificity of 92.9% for th

240 95% confidence interval [CI], 89.4 to 97.6), a sensitivity of 94.7% (95% CI, 73.5 to 99.9), and a spe

241 This cutoff resulted in a sensitivity of 94.7% in detecting MCS and allowed the

242 e GeneChip showed a specificity of 97.8% and a sensitivity of 94.8% for detection of RMP resistance a

243 ts without symptomatic recurrent disease for a sensitivity of 95% (95% CI, 83% to 99%) and a specific

244 hol Use Disorders Identification Test -C had a sensitivity of 95% (95% CI, 92-98%) and specificity of

245 ISAs combined can detect ZIKV infection with a sensitivity of 95% and specificity of 66.7%.

246 8% (95% CI 98.9%-100%) for major injury, and a sensitivity of 95.4% (95% CI 93.6%-96.9%), a specifici

247 ill working, the baseline measures displayed a sensitivity of 95.4%, a specificity of 40.1%, and posi

248 confirm screen-positive isolates resulted in a sensitivity of 95.6% and specificity of 100%.

249 The competitive sandwich ELISA showed a sensitivity of 95.6%, specificity of 99.77% and coinci

250 dual-energy material density analysis showed a sensitivity of 96% (23 of 24 lesions) at a specificity

251 tion of the classifier plus bronchoscopy had a sensitivity of 96% (95% CI, 93 to 98) in AEGIS-1 and 9

252 The assay showed a sensitivity of 96% and was able to detect all homozygo

253 ction method could classify the legions with a sensitivity of 96%, a specificity of 84%, and an AUC o

254 ctive evaluation of 439 urine samples showed a sensitivity of 96.5%, a specificity of 71.4%, and posi

255 or) was used, achieving an AROC of 0.983 and a sensitivity of 96.7% at a specificity of 95%.

256 ithout Creutzfeldt-Jakob disease, indicating a sensitivity of 97% (95% confidence interval [CI], 82 t

257 ating characteristic curve, IDO activity had a sensitivity of 97%, a specificity of 99%, and positive

258 IE, 76 had a high score (>/=4), resulting in a sensitivity of 97%, specificity of 23%, a negative pre

259 rgeting of bladder lesions was achieved with a sensitivity of 97%.

260 MR imaging had a sensitivity of 97.0% (65 of 67) and a specificity of 9

261 , the single cutoff 1516 patients (54%) with a sensitivity of 97.1% (95% CI, 95.1%-98.3%), the 1-hour

262 onin T algorithm ruled out 1425 (64.1%) with a sensitivity of 97.1% (95% confidence interval [CI], 94

263 equiring neurosurgical intervention to yield a sensitivity of 97.3% (95% CI: 92.3%-99.4%) and exhibit

264 s radiologist-augmented approach resulted in a sensitivity of 97.3% and specificity 100%.

265 ssification accuracy model was obtained with a sensitivity of 97.9% and a specificity of 99.6%.

266 SWI yielded a sensitivity of 98% (95% confidence interval [CI]: 0.94

267 interval of 0.82 to 0.91) and </=75%TEI had a sensitivity of 98% but a specificity of 66% to predict

268 e could classify patients from controls with a sensitivity of 98%; importantly, by co-registering the

269 100%) for identifying S. aureus, as well as a sensitivity of 98.1% (range, 87.5% to 100%) and a spec

270 he 1-hour algorithm 1459 patients (52%) with a sensitivity of 98.4% (95% CI, 96.8%-99.2%), and the 0/

271 0/1-hour algorithm 1463 patients (52%) with a sensitivity of 98.4% (95% CI, 96.8%-99.2%).

272 ment was 90.6% (95% CI, 87.9 to 93.1%), with a sensitivity of 98.6% (95% CI, 97.2 to 100%).

273 The diagnostic pathway had a sensitivity of 98.6% and specificity of 94.4%.

274 1905 of the 1982 patients (96.1%), yielding a sensitivity of 98.7% (386 of 391 patients) and specifi

275 onin I algorithm ruled out 1205 (54.2%) with a sensitivity of 98.8% (95% CI, 96.4%-99.7%)) and ruled-

276 %, whereas a score of <2 for day 5 model had a sensitivity of 98.8% and negative predictive value of

277 score >/=3 points for predicting TR-ROP had a sensitivity of 98.8%, specificity of 40.1%, and positi

278 Detection of HSV-2 was similar, with a sensitivity of 98.9% and a specificity of 95.5%.

279 Tumor tissue could be detected with a sensitivity of 99% and a specificity of 92% using a cu

280 elayed, and the combination of all three had a sensitivity of 99% and a specificity of 97%.

281 sult to define a positive episode, achieving a sensitivity of 99%, significantly higher than any sing

282 The 1.2-ng/L limit of detection gave a sensitivity of 99.0% (95% CI, 96.8%-99.7%) and an NPV

283 In the validation phase, Chest CT-All had a sensitivity of 99.2% (95% CI 95.4%-100%), a specificit

284 Chest CT-Major had a sensitivity of 99.2% (95% CI 95.4%-100%), a specificit

285 n comparison, the GeneOhm assay demonstrated a sensitivity of 99.2% (range, 95.2% to 100%) and a spec

286 s/ml) at 97.1% (95% CI, 95.5 to 98.7%), with a sensitivity of 99.6% (95% CI, 97.2 to 100%).

287 and test sites, the Xpert assay demonstrated a sensitivity of 99.6% (range, 96.4% to 100%) and a spec

288 e two methods was 99.3% (98.3 to 100%), with a sensitivity of 99.7% (98.3 to 100%) and a specificity

289 sing of water-soluble organic compounds with a sensitivity of free spectral range as high as 19.85 TH

290 e-producing A. baumannii, no assays achieved a sensitivity of greater than 90%.

291 can detect minimal residual disease (MRD) to a sensitivity of >/=1:10,000 (10(-4)).

292 Several assays performed with a sensitivity of >90% for the detection of carbapenemase

293 k Chek-60 assay (overall agreement, 95%) and a sensitivity of >93%; thus, it is suitable as the first

294 e lymphoblastic leukemia (ALL) patients with a sensitivity of </=10(-5), comparable to real-time quan

295 is or any other enzymatic reactions and with a sensitivity of <10 pM target RNA.

296 ic interactions to measure local forces with a sensitivity of <200 fN.

297 elation of 0.92 (P<0.0001) was observed with a sensitivity of over 90% for predicting ID (ferritin<15

298 A sensitivity of the circadian clock to light/dark cycle

299 ice just a few millimeters thick and yet has a sensitivity of the resonance wavelength shift comparab

300 ity using strong bipolar gradients to create a sensitivity of the signal to the thermally-induced Bro