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1                         The sensor exhibited a sensitivity of 0.082 mu A/mu M/cm (2) with a limit of
2 rboxylic acid senses Mg(2+) ions, exhibiting a sensitivity of 0.10-0.44 mmol L(-1) within the range o
3 nzenedicarboxylic acid, a pH probe, displays a sensitivity of 0.12 pH units within pH 7.0-8.0.
4 a linear working range from 0.25 to 4 mM and a sensitivity of 0.14 muA mM(-1).
5 600microm and a detection limit of 60nM with a sensitivity of 0.172microAmicroM(-1)cm(-2).
6 nM, a wide linear range of 0.01-500 muM, and a sensitivity of 0.18 +/- 0.01 muA/muM.
7 n the presence of 500 muM ascorbic acid, and a sensitivity of 0.33 muA/muM.
8 (95% confidence interval [CI], 0.780-0.828), a sensitivity of 0.468 (95% CI, 0.416-0.520), a specific
9                                The assay has a sensitivity of 0.5-1% w/w in binary mixtures of durum
10 21 classified 18.3% patients as "frail" with a sensitivity of 0.50 and specificity of 0.82, whereas t
11 test (AUC 0.79) for preterm prediction, with a sensitivity of 0.66 (95%CI 0.56-0.75) and specificity
12 image evaluation the laser assessment showed a sensitivity of 0.70 (CI(0) (.025) 0.53 to CI(0.975) 0.
13 omarkers, the meta-analytic estimates showed a sensitivity of 0.72 (95% CI=0.67-0.76) and a specifici
14 84) for the prediction of preterm birth with a sensitivity of 0.73 (95%CI 0.64-0.81) and specificity
15                           The TSH marker had a sensitivity of 0.75 and specificity of 0.53 when compa
16 th an area under the ROC curve of 0.897, and a sensitivity of 0.783 and specificity of 0.895.
17 ients with subjective memory impairment with a sensitivity of 0.79 and specificity of 0.91.
18                                     Although a sensitivity of 0.8 for rapid field loss was achieved a
19                           One study reported a sensitivity of 0.82 and a specificity of 0.70 for 2 of
20          The nomogram showed an AUC of 0.89, a sensitivity of 0.86, and a specificity of 0.82 in diff
21 d of 156 days predicted LTC involvement with a sensitivity of 0.875 and a specificity of 1.
22 10, sCD14, TNF-alpha, and TNF-beta) achieved a sensitivity of 0.90 (95% CI: 0.87-0.94) and a specific
23 s factor [TNF]-alpha, and TNF-beta) achieved a sensitivity of 0.90 (95% confidence interval [CI]: .87
24 sease-associated groups, that performed with a sensitivity of 0.91, a specificity of 0.79, a negative
25 sion strengths predicted amyloid status with a sensitivity of 0.94 and a specificity of 0.83.
26 owed the highest diagnostic performance with a sensitivity of 0.94, specificity of 0.71 and a diagnos
27 OC) curve for the classifiers was 0.973 with a sensitivity of 0.999 and specificity of 0.959.
28                       The assay demonstrated a sensitivity of 1 genomic copy per 4-mul sample and is
29 yphenyl)iminodiacetate Zn(2+) ion sensor has a sensitivity of 1 umol L(-1) within the range of 10-20
30 s, a cutoff value of 33.7% was optimal, with a sensitivity of 1, specificity of 0.57, and positive an
31                      mfERG was found to have a sensitivity of 1.00 (95% CI 0.79-1.00) and a specifici
32 , CRISPR-Chip generates, within 15 min, with a sensitivity of 1.7 fM and without the need for amplifi
33 even core multi-core fibre, we have achieved a sensitivity of - 1.4 nm/ degrees as a vector bending s
34 vities were determined in a 5 min assay with a sensitivity of 10(-8) U per assay, being 10(3)-10(4)-f
35 tion by next-generation sequencing (NGS) has a sensitivity of 10-6 (MRD6).
36 nd linearity over the 90-300mg/L range, with a sensitivity of 10.7microAcm(3)mg(-1) (R(2) = 0.983) an
37  burgdorferi (B. burgdorferi) recA gene with a sensitivity of 100 copies within 25 min and generated
38         Susceptibility-weighted MRI achieved a sensitivity of 100% (38 of 38) and specificity of 96%
39 anger sequencing as a reference, we obtained a sensitivity of 100% (5/5) and a specificity of 95% (58
40 When employed, the validated pain screen had a sensitivity of 100% (95% CI 72%-100%) and a negative p
41 . cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specifici
42 he 7 known infants with biliary atresia with a sensitivity of 100% (95% CI, 56.1%-100.0%), a specific
43 f a PANWARDS score >/=25, corresponding with a sensitivity of 100% (95% CI, 63% to 100%) and a specif
44 PC, OXA-48-like, and VIM) were detected with a sensitivity of 100% (95% CI, 97.1% to 100%) by the two
45 quiring neurosurgical intervention, yielding a sensitivity of 100% (95% CI: 96.7%-100.0%) with a spec
46 D approach ruled out 453 patients (16%) with a sensitivity of 100% (95% confidence interval [CI], 99.
47                                         With a sensitivity of 100% (95% confidence interval, 82.2%-10
48       Overall, the automated platform showed a sensitivity of 100% (confidence interval, 92.3%-100%)
49 her hand, the absence of halo sign has shown a sensitivity of 100% and a negative predictive value (N
50 rk differentiated PVOD from PAH samples with a sensitivity of 100% and a specificity of 92% in a rand
51 and one feature from CT (flatness), reaching a sensitivity of 100% and a specificity of 96%.
52 2 (IC2) and one from CT (Flatness), reaching a sensitivity of 100% and a specificity of 96%.
53 V NS1 IgG ELISA detected ZIKV infection with a sensitivity of 100% and specificity of 82.9%.
54                    The platform demonstrated a sensitivity of 100% and specificity of 83.33% for path
55 train elastography and contrast-enhanced US, a sensitivity of 100% and specificity of 93.0% were achi
56 ons, the decision support algorithm achieved a sensitivity of 100% compared to 68.4% (microscopic dia
57                          The PN panel showed a sensitivity of 100% for 15/22 etiologic targets using
58 h ELISA detected primary DENV infection with a sensitivity of 100% for the same serotype and 23.8% to
59                           The results showed a sensitivity of 100% in animals with very poor body con
60 axial measurement between eyes of 5.6 mm had a sensitivity of 100% in predicting high intracranial pr
61  100% with SickleSCAN, and 100% by HPLC, and a sensitivity of 100% with HemoTypeSC, 100% with SickleS
62 serum from patients with Lyme arthritis with a sensitivity of 100%, and the specificity was 97.5% to
63 onfidence interval [CI]: 23.9%, 41.3%), with a sensitivity of 100%.
64                Structural OCT alone also had a sensitivity of 100%.
65 a CS probable cutoff for FDG PET resulted in a sensitivity of 100.0% (95% CI, 54.1%-100.0%) and a spe
66 .8%), and PCR-HRM analysis of pellet DNA had a sensitivity of 100.0% (95% CI, 98.0 to 100.0%) and a s
67 ors achieved a linear range of 0-500 muM and a sensitivity of 11.7 muA mM(-1) cm(-2).
68 ng out the sensor's optimal performance with a sensitivity of 11.86nm/microM and 28nM as the limit of
69  between 25 and 43 degrees C, the sensor had a sensitivity of 110+/-10Omega/ degrees C and an error o
70 arithm of the concentration of glucose, with a sensitivity of -119+/-8mV.decade(-1), a linear range t
71          The GONR-FET biosensor demonstrated a sensitivity of 12.5muA/mM (determined according to the
72 15aM to 10 fM starting DNA concentration and a sensitivity of 122 nA decade(-1) was achieved.
73 ction cutoff value greater than 1.8% yielded a sensitivity of 14 of 17 (82% [95% confidence interval
74  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
75 mg to 29.64 mg, and performed linearly, with a sensitivity of 2.213 nW/mg.
76                          This corresponds to a sensitivity of 2.59 Omega/Omega%, which compares well
77 es and 0.01microgmL(-1) for the humam serum, a sensitivity of 2.59microA, adequate for the detection
78 ive predictive value of 100%, as compared to a sensitivity of 24% (95% CI 8%-50%) and a negative pred
79 ers of magnitude (10(-13)-10(-5)gmL(-1)) and a sensitivity of 24.7 +/- 0.4Omega per order of magnitud
80                   The algorithm demonstrated a sensitivity of 26% and specificity of 98%, with a posi
81                        Moreover, they showed a sensitivity of -26.6 +/- 0.7 muA/Ach decade and also e
82 , a linear range between 5 and 400microM and a sensitivity of 27.5+/-2.5microAcm(-2)mM(-1).
83                                              A sensitivity of 28.6% was reached for the population of
84 TIL as the sensing element, we have achieved a sensitivity of 29 pF/ppm towards CO(2) at ambient envi
85 ed PREDICT model, the day 1 score of >=4 had a sensitivity of 30.4% and a specificity of 93.8%, where
86 nt impedance standard of > 73 GOR events has a sensitivity of 32.6% and specificity of 96.5% (AUC 0.7
87 -enzymatic V2O5 modified Au electrode showed a sensitivity of 4.519microAmicroM(-1) with a linear ran
88                         The results indicate a sensitivity of 40%, a specificity of 87%, precision of
89 lioidosis in nonbacteremic situations showed a sensitivity of 40%, specificity of 54%, and NPV and PP
90 n a graphene oxide (GO) sensitive layer, had a sensitivity of 40+/-4mV/pH in the pH range between 4 a
91 perforated appendicitis (5b) was as follows: a sensitivity of 44.0% (80 of 182), a specificity of 93.
92  normal GLS (>16%) on the baseline study had a sensitivity of 47%, a specificity of 83%, and an accur
93  outcome could be predicted at 12 hours with a sensitivity of 48% (CI, 45-51%) at a false positive ra
94 lue of 99%, false positive rate of 0.5%, and a sensitivity of 48%.
95 m from patients with early Lyme disease with a sensitivity of 48.5% and 75% and Lyme arthritis in ser
96 ection range from 3 pg/mL to 10 mug/mL, with a sensitivity of 50 Omega (pg mL(-1))(-1).
97                                       It had a sensitivity of 50% and a specificity of 81% for differ
98 9m)Tc-trofolastat SPECT/CT detected LNI with a sensitivity of 50% and specificity of 87%, and TBR val
99  of ICU use for congestive heart failure had a sensitivity of 50-60% and specificity of 79-81% for de
100                               Orbital CT had a sensitivity of 50.0% and a specificity of 75.0% to pre
101 mass index (BMI), the meta-analyses rendered a sensitivity of 51.4% (95% CI 38.5-64.2%) and a specifi
102  PVR as an input feature had an AUC of 0.81, a sensitivity of 54.3%, and a specificity of 92.4%.
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 threshold of 0.34 without false positives at a sensitivity of 56% at 12 hours after cardiac arrest.
105  confidence interval [CI] = 53.7-81.3%) with a sensitivity of 58% and specificity of 82%.
106 m day 3 onward with a specificity of 87% and a sensitivity of 58% for a cut-off level of 203 mg/L (AU
107 led miRNAs for CRC had an AUC of 0.811, with a sensitivity of 58.8% (95% confidence interval [CI]: 51
108       The LAT by measuring granulysin showed a sensitivity of 59.3% and specificity of 96.4%.
109 des (434.91, 434.11, 433.11, and 997.02) had a sensitivity of 60.9%, specificity of 99.0%, positive p
110 wis acidity of the redox-inactive metal with a sensitivity of 61 +/- 9 mV/pK(a) unit.
111 10%, and IVC greater than or equal to 8% had a sensitivity of 61% (95% confidence interval, 57-66%),
112 an P-tau((181))/T-tau, which itself only had a sensitivity of 61.1% and specificity of 85.7% with a c
113                                              A sensitivity of 63% to 92% was reported for computed to
114 lected clinical features had an AUC of 0.90, a sensitivity of 63.0%, and a specificity of 97.8%.
115 r extraparenchymal NCC, the new criteria had a sensitivity of 65.9% and specificity of 94.9%.
116 n, and antimicrobial serologies and provided a sensitivity of 66% (95% CI 51-82) and specificity of 6
117 dification codes (I63.9, I63.40, I63.49) had a sensitivity of 66.7%, specificity of 99.4%, positive p
118       The most discriminatory MS data showed a sensitivity of 67% (95% CI, 60-71%), specificity of 86
119 tection of wrists with bone marrow edema and a sensitivity of 69% (95% CI: 55%, 81%; 36 of 52 bones)
120 s the reference method, BDG (>=80 pg/mL) had a sensitivity of 69.8%, specificity of 81.2%, PPV of 34.
121 ptical states in a nearly orthogonal manner, a sensitivity of 7 fT Hz(-1/2) at a low frequency near D
122  a compatible PCP clinical syndrome, BDG had a sensitivity of 70%, specificity of 100%, PPV of 100%,
123  The combination of PGI/II-HpAb-OPN, yielded a sensitivity of 70.2% and specificity of 78.3% at the p
124 iographs were detected by our AI system with a sensitivity of 71%, specificity of 95%, PPV of 73%, an
125 for a WHZ <-3 and <140 mm for a WHZ <-2 with a sensitivity of 71.4% and 70.4%, respectively, and a sp
126 trast, the NLST eligibility criteria yielded a sensitivity of 71.4% and a specificity of 62.2%.
127       The "typical" pattern (n = 172) showed a sensitivity of 71.6%, a specificity of 91.6%, and a po
128 lue above 1.336 was able to predict CAV with a sensitivity of 72% and a specificity of 83%.
129 ension after density-based selection yielded a sensitivity of 72.1% and a specificity of 96.9%.
130 for a WHZ <-3 and <125 mm for a WHZ <-2 with a sensitivity of 72.9% and 63.2%, respectively, and a sp
131 or predominantly osteoblastic metastases and a sensitivity of 73% (19 of 26) and specificity of 92% (
132 come prediction had a specificity of 82% and a sensitivity of 73%.
133 n/probable or putative IA versus no IA, with a sensitivity of 74% and a specificity of 83% at an opti
134 iate between not NASH and definite NASH with a sensitivity of 74% and specificity of 67% (AUROC 0.76)
135 ection of RAPD whereas the binocular OCT had a sensitivity of 74% and specificity of 86%.
136 s high (AUROC: 0.89 (95%CI: 0.87-0.92)) with a sensitivity of 74.3% and a specificity of 88.4%.
137 tive and 2 had negative RT-QuIC findings for a sensitivity of 75% (95% CI, 36%-96%).
138                         In general, HRCM had a sensitivity of 75% and a specificity of 100% in identi
139 g a high-sensitivity operating threshold, or a sensitivity of 78% (95% CI: 77, 79) and a specificity
140 eference to M. tuberculosis culture, CRP had a sensitivity of 78% (95% confidence interval [CI], 64 t
141             Direct MTBDRplus at 2 months had a sensitivity of 78% (95% confidence interval [CI], 65 t
142 ptimal cut-point was a score >= 4, which had a sensitivity of 78.36% and a specificity of 67.59%.
143 d, for a cutoff value of 91.13 milliseconds, a sensitivity of 78.6% (95% CI, 60.5%-89.8%) and a speci
144 he criteria were met for n=248 patients with a sensitivity of 79% (95% CI, 0.72-0.85) and a negative
145 ntricle diameter of approximately 10 mm with a sensitivity of 79% (95% CI, 64-94) and a specificity o
146 phically occult hip fracture (P = .67), with a sensitivity of 79% and 87%, respectively (low SOE).
147  the highest AUC (0.616 [0.792-0.956]), with a sensitivity of 79.3% [65.5-93.1%] and specificity of 8
148 fidence interval [CI] = 74.2% to 84.1%), and a sensitivity of 79.6% (95% CI = 74.2% to 84.1%) with an
149 ketamine at buffer solution (pH 12) exhibits a sensitivity of 8.2 muA muM(-1), a linear relationship
150                                      MRI had a sensitivity of 80% (95% CI: 63%, 91%; 28 of 35 wrists)
151 er of viral respiratory tract infection with a sensitivity of 80% and specificity of 94% in distingui
152       Patients with MCI were identified with a sensitivity of 80%.
153 ual volumes (P for trend < .001 for both) to a sensitivity of 81% and SDC rate of 3.9 per 1000 readin
154 s integrated EV double-filtration device had a sensitivity of 81.3% at a specificity of 90% (16 bladd
155 itives with en face OCTA alone, resulting in a sensitivity of 81.3%.
156 rve (AUC) (95% CI) = 0.817 (0.732-0.902) and a sensitivity of 81.6% and specificity of 71.0%.
157               Persistence was predicted with a sensitivity of 81.8% and a specificity of 82.4%.
158  resistance in 27/33 specimens, resulting in a sensitivity of 81.8%.
159 edicted noninvasive ventilation failure with a sensitivity of 82% and a specificity of 87%.
160                                The RAPDx had a sensitivity of 82% and a specificity of 94% for detect
161 emic melioidosis from other sepsis cases had a sensitivity of 82%, specificity of 93%, and negative a
162  false negatives in the "negative" group and a sensitivity of 82%.
163 SARS-CoV-2 test with a specificity of 86.8%, a sensitivity of 82.4%, and an overall accuracy of 86.4%
164 9 or higher predicted discharge to home with a sensitivity of 82.9% and specificity of 73.6% CONCLUSI
165 n 500 probability threshold, FAMCAT achieved a sensitivity of 84% (1028 predicted vs 1219 observed ca
166  48%, fluid responsiveness is predicted with a sensitivity of 84% and a specificity of 90%.
167 ty of a normal clinical read (56.3%), DL had a sensitivity of 84.8%, versus 82.6% for an on-site clin
168  swine IAV-alpha and H3N2 swine IAV-ss) with a sensitivity of 84.9% and a specificity of 100.0%.
169  the Revogene C. difficile test demonstrated a sensitivity of 85.0% (95% confidence interval, 80% to
170 elded the highest Youden index of 0.61, with a sensitivity of 85.1% (95% CI: 76.7%, 91.4%) and a spec
171 guished from littermate control animals with a sensitivity of 85.7% and a specificity of 87.5%, by ga
172 odel demonstrated an accuracy of 83.3%, with a sensitivity of 85.7% and specificity of 75.0%.
173 known disorders (n = 87), GUM performed with a sensitivity of 86% (95% CI: 78-91) compared with TM fo
174 , tumors could be classified as grade 2 with a sensitivity of 86% and a specificity of 100%.
175 , tumors could be classified as grade 2 with a sensitivity of 86% and specificity of 100%.
176  impairment (AUC, 0.81); a score of <=21 had a sensitivity of 86% and specificity of 55% for severe i
177 onal diagnostic test, this parameter reached a sensitivity of 86% for NMDAR-Ab- and 100% for LGI1-Ab-
178                   The standard BET displayed a sensitivity of 86%, specificity of 58%, positive predi
179 ormance regarding the evaluation of DD, with a sensitivity of 86%, specificity of 67%, PPV of 63% and
180 nancy index was determined to be 0.092, with a sensitivity of 86.1% and specificity of 80% in identif
181 se in the FCD or healthy control groups with a sensitivity of 86.7%.
182 % decline in FEV1 (PC20 ) </=16 mg/mL showed a sensitivity of 87% and a specificity of 36%.
183                An FEV1 of 1.50 L or less had a sensitivity of 87% and specificity of 60% to identify
184  was calculated to be >= 0.125 / minute with a sensitivity of 87% and specificity of 85%.
185 ecificity of 77.3% (95% CI: 69.2%, 85.4%) at a sensitivity of 87%.
186          Fast24-qPCR with repeat testing had a sensitivity of 87.3% (95% CI, 83.1 to 91.5%; n = 244),
187 ious DENV and secondary DENV infections with a sensitivity of 87.5% and specificity of 81.3%.
188 s, the CST assay and the qPCR method reached a sensitivity of 87.82% and 94%, respectively.
189                         This corresponded to a sensitivity of 88% (95% CI: 87, 89) and a specificity
190 rsity classified an infection as recent with a sensitivity of 88% and a specificity of 85%.
191 (with a positive predictive value of 81% and a sensitivity of 88%).
192     An abnormal GLS (</=16%) at baseline had a sensitivity of 88%, a specificity of 46%, and an accur
193                          Thus ultrasound had a sensitivity of 88.4% and a specificity of 97.3% in det
194 nge of hertz-to-kilohertz range and achieves a sensitivity of 880 pT/Hz(1/2) at 200 Hz in a micro-sca
195              Standard MRI sequences achieved a sensitivity of 89% (34 of 38) and specificity of 73% (
196         The tissues could be classified with a sensitivity of 89% and specificity of 77%.
197 60 patients from 16 different countries with a sensitivity of 89% for smear-positive, culture-positiv
198  controls) was able to classify 'Cases' with a sensitivity of 89% to 94% and specificity of 71% to 69
199 ptimized TBI cut-off value of 0.295 provided a sensitivity of 89.5% and a specificity of 91.0% (AUC =
200 A) achieved the best diagnostic results with a sensitivity of 89.5% in an external test set.
201    For parenchymal NCC, the new criteria had a sensitivity of 89.8% and specificity of 80.7% and for
202 ring the first seven days of infection, with a sensitivity of 9 nm/(ug/mL).
203  +/- 3.44; P < .001), which is equivalent to a sensitivity of 90% (13 of 14; 95% CI: 88, 94) and a sp
204 cm proximal to the medial malleolus revealed a sensitivity of 90% (95% confidence interval [CI]: 75.4
205 F-FET) (7 studies, 172 lesions) demonstrated a sensitivity of 90% (95% confidence interval, 81%-95%)
206 vided an NPV of 70% (95% CI, 64% to 75%) and a sensitivity of 90% (CI, 88% to 92%) for exclusion of i
207 eiver operating characteristic curve yielded a sensitivity of 90% for OSA with a specificity of 71.4%
208 le-Revisited greater than or equal to 12 had a sensitivity of 90%, a specificity of 71%, a positive p
209  TBR values significantly predicted LNI with a sensitivity of 90%.
210 2 best discriminated between the groups with a sensitivity of 90.0% and a specificity of 88.1%.
211 imary diagnosis of GCT, the M371 test showed a sensitivity of 90.1%, a specificity of 94.0%, an area
212       A cutoff level of 134.5 ng/mL provided a sensitivity of 90.4% and a specificity of 74.1%.
213  criteria were able to distinguish RRMS with a sensitivity of 90.9% and with a specificity of 87.1% a
214                    A FIB-4 score of 0.70 had a sensitivity of 90.9%, an NPV of 96.6%, and misclassifi
215                           Dual-energy CT had a sensitivity of 91% (95% CI: 77%, 98%; 32 of 35 wrists)
216  SUVmax of 1.94 for (18)F-FDHT PET, yielding a sensitivity of 91% and a specificity of 100%; the opti
217 est non-ICU score of patients, >/=2 SIRS had a sensitivity of 91% and specificity of 13% for the comp
218 reshold was 86.0% (95% CI = 73.3-94.2%) with a sensitivity of 91% and specificity of 78%.
219 lassification using metabolic profiles shows a sensitivity of 91% and specificity of 88%.
220            A relative accuracy of 98.3% with a sensitivity of 91.6% and specificity of 100% was achie
221 ious DENV and secondary DENV infections with a sensitivity of 91.7% to 94.1% and specificity of 87.0%
222 enign from malignant lesions was 0.913, with a sensitivity of 91.9%, a specificity of 90.7%, a positi
223 ests have exquisite specificity, RT-QuIC has a sensitivity of 92 to 97.2% in symptomatic individuals,
224 in 37 of 45 participants (82%), resulting in a sensitivity of 92% (12 of 13 participants; 95% CI: 62%
225                      Results Lung US SWE had a sensitivity of 92% (95% confidence intervals [CI]: 84%
226 ntegral greater than or equal to 14% yielded a sensitivity of 92% and specificity of 87% to predict f
227 .3% of cases were correctly classified, with a sensitivity of 92% and specificity of 96%.
228 r greater (to confirm) advanced fibrosis had a sensitivity of 92.3% and specificity of 96.0%, respect
229 ication, determined by MS, was observed with a sensitivity of 92.9% and a specificity of 94.0%.
230 score of greater than or equal to 4 + 3 with a sensitivity of 93% (69%-99%) and a specificity of 62%
231       The threshold of at least 25 mm Hg had a sensitivity of 93% (95% CI: 89%, 96%), specificity of
232 utoff value of six distorted glands yielding a sensitivity of 93% and specificity of 97% for MGD diag
233 icroscopy, PCR-HRM analysis of smear DNA had a sensitivity of 93.0% (95% confidence interval [CI], 88
234 om the Remidio FOP, graders 1 and 2 reported a sensitivity of 93.1% (95% confidence interval [CI] = 8
235 onfidence interval [CI]: 90.8%, 96.5%), with a sensitivity of 93.2% (95% CI: 88.9%, 97.1%) and a spec
236                A cutoff of -44.9 HU provided a sensitivity of 93.3% (70 of 75), specificity of 92.4%
237  miRNA-21-3p and miRNA-150-5p expression had a sensitivity of 93.3%, a specificity of 76.5%, a positi
238 ified breath sounds with sputum present with a sensitivity of 93.36% and a specificity of 93.36%.
239 g curve was 0.965 for both LPA and FPL, with a sensitivity of 93.7% at 95% specificity.
240 - 0.04, a specificity of 91% (31 of 34), and a sensitivity of 94% (15 of 16).
241 ls >1 x 106 copies/mL exclude rejection with a sensitivity of 94%.
242                  Second-generation IGRAs had a sensitivity of 94.0% (90.0-96.4) for culture-confirmed
243 n the validation cohort, the same score gave a sensitivity of 94.2%, an NPV of 97.3%, and misclassifi
244  cut-off value of 0.335 for the TBI provided a sensitivity of 94.4% and a specificity of 94.9% (AUC =
245                        The algorithm yielded a sensitivity of 94.5%, a specificity of 94.4%, a positi
246                        The algorithm yielded a sensitivity of 94.5%, a specificity of 94.5%, a positi
247 ng unable to conduct usual activity--yielded a sensitivity of 94.6% (95% CI, 93.4-95.5) and specifici
248 95% confidence interval [CI], 89.4 to 97.6), a sensitivity of 94.7% (95% CI, 73.5 to 99.9), and a spe
249 an average precision of 98.6% and 92.3%, and a sensitivity of 94.8% and 86.1%, respectively.
250 e but not on the NIR image, translating into a sensitivity of 94.8%.
251 an average precision of 98.7% and 91.9%, and a sensitivity of 94.9% and 85.6%, respectively.
252 ISAs combined can detect ZIKV infection with a sensitivity of 95% and specificity of 66.7%.
253 confirm screen-positive isolates resulted in a sensitivity of 95.6% and specificity of 100%.
254 t primary and secondary DENV infections with a sensitivity of 95.6% and specificity of 89.5%.
255 or predominantly osteoblastic metastases and a sensitivity of 96% (25 of 26) and specificity of 100%
256 the tumor SUV(max) could be established with a sensitivity of 96% (79%-99%) and a specificity of 75%
257 rysms > 100 mm(3) (mean diameter of ~ 6 mm), a sensitivity of 96% with DSC of 0.87 and FPs/scan of 0.
258 point with a specificity of 95% representing a sensitivity of 96%).
259 ction method could classify the legions with a sensitivity of 96%, a specificity of 84%, and an AUC o
260 gnostic of plantar fasciitis, this study had a sensitivity of 96%, specificity of 100%, and accuracy
261 lyp detection, a cut-off value > 19 U/ml has a sensitivity of 96.3% and the specificity of 85.5%.
262 ctive evaluation of 439 urine samples showed a sensitivity of 96.5%, a specificity of 71.4%, and posi
263                 We found Fast24-qPCR to have a sensitivity of 96.7% (95% confidence interval [CI], 94
264 or) was used, achieving an AROC of 0.983 and a sensitivity of 96.7% at a specificity of 95%.
265        The NeuMoDx GBS assay results yielded a sensitivity of 96.9% (95% confidence interval [CI] = 9
266 of 70; 95% CI: 36.5%, 58.9%; P < .001), with a sensitivity of 97% (34 of 35; 95% CI: 90.3%, 100%; P <
267 verified immunohistochemical biomarker, with a sensitivity of 97% and a specificity of 69%.
268 urve area was 0.96 (95% CI, 0.94-0.98), with a sensitivity of 97% for 80% specificity and 85% for 90%
269 ating characteristic curve, IDO activity had a sensitivity of 97%, a specificity of 99%, and positive
270 , the single cutoff 1516 patients (54%) with a sensitivity of 97.1% (95% CI, 95.1%-98.3%), the 1-hour
271 equiring neurosurgical intervention to yield a sensitivity of 97.3% (95% CI: 92.3%-99.4%) and exhibit
272 s radiologist-augmented approach resulted in a sensitivity of 97.3% and specificity 100%.
273 d "typical" and "indeterminate" findings had a sensitivity of 97.5% (range 94-100%) and specificity o
274 e model properly diagnosed 92% of cases with a sensitivity of 97.59%, specificity 98.78%, accuracy 98
275  OCT system using this light source provides a sensitivity of 98 dB and a single-sided 6-dB roll-off
276  interval of 0.82 to 0.91) and </=75%TEI had a sensitivity of 98% but a specificity of 66% to predict
277 e could classify patients from controls with a sensitivity of 98%; importantly, by co-registering the
278 he 1-hour algorithm 1459 patients (52%) with a sensitivity of 98.4% (95% CI, 96.8%-99.2%), and the 0/
279  0/1-hour algorithm 1463 patients (52%) with a sensitivity of 98.4% (95% CI, 96.8%-99.2%).
280  1905 of the 1982 patients (96.1%), yielding a sensitivity of 98.7% (386 of 391 patients) and specifi
281 m developed to detect nystagmus demonstrated a sensitivity of 99.1% (95% CI: 95.13% to 99.98%) and a
282 degrees C(-1) and with applied pressure with a sensitivity of about 0.044 V kPa(-1) .
283  with increasing temperature difference with a sensitivity of about 0.048 V degrees C(-1) and with ap
284  Nations Istanbul Protocol (UNIP) would have a sensitivity of approximately 15% for pain detection, a
285 n a mouse model of S. aureus bacteremia with a sensitivity of approximately 3 x 10(4) CFU from the ki
286 sed with home sleep apnea testing, which has a sensitivity of approximately 80%.
287 otocol, combined with the RT-LAMP assay, has a sensitivity of at least 50 viral RNA copies per microl
288 gens a specificity of 100% was achieved with a sensitivity of at least 90%.
289                       Our assays demonstrate a sensitivity of detection of 4 ng/mL for LPS and 2 ng/m
290 ISPR assay and detect the nucleic acids with a sensitivity of few copies.
291 e-producing A. baumannii, no assays achieved a sensitivity of greater than 90%.
292                Several assays performed with a sensitivity of &gt;90% for the detection of carbapenemase
293  single nucleotide polymorphisms (SNPs) with a sensitivity of less than 1%.
294 e lymphoblastic leukemia (ALL) patients with a sensitivity of &lt;/=10(-5), comparable to real-time quan
295 is or any other enzymatic reactions and with a sensitivity of &lt;10 pM target RNA.
296 ic interactions to measure local forces with a sensitivity of &lt;200 fN.
297  of the MB variability (0.28 m/yr), implying a sensitivity of MB on snowfall to the tune of several h
298  susceptible to arrhythmic sudden death with a sensitivity of only 33%, leaving many patients exposed
299 elation of 0.92 (P<0.0001) was observed with a sensitivity of over 90% for predicting ID (ferritin<15
300 n tropical upwelling systems (>75%) suggests a sensitivity of the global [Formula: see text]O flux to
301 UNX1T1+ AML, using a qRT-PC-based assay with a sensitivity of up to 10-6.

 
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