ライフサイエンスコーパス: BIA

1 BIA 10-2474, but not PF04457845, produced substantial al

2 BIA indicated a greater increase in ICW in 23 (21%) pati

3 BIA is also potentially useful for assessing the hydrati

4 BIA is especially problematic with large changes in body

5 BIA outcome was annual program implementation cost over

6 BIA overestimates FFM compared with DXA in those with gr

7 BIA probably holds less promise for detecting small chan

8 BIA utilization may be helpful for monitoring body water

9 BIA was a good predictor of DXA-derived FFM (r = 0.85-0.

10 BIA was conducted on all patients and phase angle was ca

11 BIA, SFTs, and BMI provided unbiased estimates of decrea

12 BIA-ALCL cases were distinct in clinical features and hi

13 BIA-ALCL incidence and incidence rates may be higher tha

14 W were not measured by dilution studies, 158 BIA measurements were taken for determining TBW.

15 Although more than 30 BIAs belonging to the 1-benzylisoquinoline, aporphine, a

16 ctapolar bioelectrical impedance analysis (8-BIA) and criterion DXA scans were acquired to compare es

17 0.05) were observed between both W-BIA and 8-BIA when compared to DXA, though the systematic biases t

18 5 kg for W-BIA versus 56.0 +/- 13.8 kg for 8-BIA; P > 0.05; Lin's concordance correlation coefficient

19 Time-to-event analysis demonstrated a BIA-ALCL cumulative incidence of 0 at up to 6 years, inc

20 The smaller the electrode of a BIA device, the larger the impedance measurement error d

21 form patients and healthcare providers about BIA-ALCL, we convened to review diagnostic procedures us

22 The most abundant BIA in P. californicum is (R)-glaucine, a member of the

23 ubin-derivative, 6-bromoindirubin acetoxime (BIA), down-regulates CDH5 and other BTB signature genes,

24 pounds from the benzylisoquinoline alkaloid (BIA) family of THIQs, low product titers impede industri

25 roline (THP), a benzylisoquinoline alkaloid (BIA) precursor to opioid analgesics.

26 ong postulated, benzylisoquinoline alkaloid (BIA) transporters from opium poppy (Papaver somniferum)

27 of noscapine, a benzylisoquinoline alkaloid (BIA) with a long history of medicinal use.

28 Benzylisoquinoline alkaloids (BIAs) are a class of specialized metabolites with a dive

29 Benzylisoquinoline alkaloids (BIAs) are a diverse class of medicinal plant natural pro

30 Benzylisoquinoline alkaloids (BIAs) are a family of approximately 2500 alkaloids with

31 Benzylisoquinoline alkaloids (BIAs) are a major class of plant metabolites with many p

32 Benzylisoquinoline alkaloids (BIAs) are a structurally diverse class of plant-speciali

33 The benzylisoquinoline alkaloids (BIAs) are an important group of secondary metabolites fr

34 Benzylisoquinoline alkaloids (BIAs) are produced in a wide variety of plants and inclu

35 an subclass of benzylisoquinoline alkaloids (BIAs) in opium poppy as the resulting bi-modular protein

36 ide variety of benzylisoquinoline alkaloids (BIAs), including the pharmaceutical compounds codeine, m

37 biosythesis of benzylisoquinoline alkaloids (BIAs).

38 nts that are more widely-conserved among all BIA NMTs.

39 Among the 23 rats analyzed, all BIA parameters changed significantly across eight time p

40 We conducted benefit incidence analyses (BIA) and financing incidence analyses (FIA) using cross-

41 Bioimpedance analysis (BIA) has been suggested as an alternative to less reliab

42 iving organisms using bioimpedance analysis (BIA), which allows for noninvasive, real-time measuremen

43 orptiometry (DXA) and bioimpedance analysis (BIA).

44 infold thickness, and bioimpedance analysis (BIA).

45 s analysis (CEA) and budget impact analysis (BIA) based on results of a randomized clinical trial (RC

46 on whether bioelectrical impedance analysis (BIA) accurately predicts changes in body composition ass

47 ated using bioelectrical impedance analysis (BIA) and dual x-ray absorptiometry (DXA); and central ad

48 ST through bioelectrical impedance analysis (BIA) and the determination of whole-body muscle mass fro

49 whole-body bioelectrical impedance analysis (BIA) approach for estimating adiposity and body fat is b

50 (DXA) and bioelectrical impedance analysis (BIA) are currently used to analyze body composition.

51 angle from bioelectrical impedance analysis (BIA) can be interpreted as a surrogate marker for the ca

52 producible bioelectrical impedance analysis (BIA) data.

53 s-specific bioelectrical impedance analysis (BIA) equations of Segal et al. have been shown to be gen

54 utility of bioelectrical impedance analysis (BIA) for assessing changes in body composition and conte

55 e value of bioelectrical impedance analysis (BIA) for such patients is rare.

56 Bioelectrical impedance analysis (BIA) has potential in the area of sports and exercise as

57 -frequency bioelectrical impedance analysis (BIA) in 332 subjects, including white, black, and Hispan

58 to include bioelectrical impedance analysis (BIA) in a national nutrition survey.

59 Bioelectrical impedance analysis (BIA) is a promising tool in the evaluation of body compo

60 Bioelectrical impedance analysis (BIA) is an attractive method of measuring pediatric body

61 Bioelectrical impedance analysis (BIA) is used to analyze human body composition by applyi

62 ass (FFM), bioelectrical impedance analysis (BIA) offers an alternative to physical performance testi

63 integrated bioelectrical impedance analysis (BIA) sensors for their ability to measure and monitor ch

64 (HGS) and bioelectrical impedance analysis (BIA) to detect sarcopenia in cirrhotic patients compared

65 (TSF) and bioelectrical impedance analysis (BIA) to estimate changes in body fat over time in childr

66 Bioelectrical impedance analysis (BIA) variables and selected anthropometric characteristi

67 oth cohorts; bioelectric impedance analysis (BIA) was conducted only in preadolescent children.

68 es (SFTs), bioelectrical impedance analysis (BIA), and body mass index (BMI; in kg/m2) were compared

69 thickness, bioelectrical impedance analysis (BIA), and dual-energy X-ray absorptiometry (DXA), and co

70 surements, bioelectrical impedance analysis (BIA), and laboratory tests, including the PDGFRbeta assa

71 ermined by bioelectrical impedance analysis (BIA), detects changes in tissue electrical properties an

72 g (HW) and bioelectrical impedance analysis (BIA), in adults.

73 ose, using bioelectrical impedance analysis (BIA), to measure total body water (TBW) and extracellula

74 ptiometry, bioelectrical impedance analysis (BIA), total body potassium, densitometry, and in vivo ne

75 a on their bioelectrical impedance analysis (BIA), whole-body infrared images, height, weight, age, a

76 (DWF) and bioelectrical impedance analysis (BIA).

77 ofrequency bioelectrical impedance analysis (BIA).

78 and is coupled to batch injection analysis (BIA) with electrochemical detection using a boron-doped

79 and in a biomolecular interaction analysis (BIA) system.

80 old-thickness measurements (mean: 21.05) and BIA (mean: 21.52).

81 t ratio with DXA (r = 0.95, rhoC = 0.83) and BIA (r = 0.92, rhoC = 0.76) and between skeletal muscle

82 The differences in estimation between AP and BIA and between BIA and HW were not significantly differ

83 Adjustments for age, BMI, and BIA variables didn't enhance this association.

84 s found between short-term weight change and BIA (r = 0.38, p = 0.001).

85 composition measures using DXA, D(3)Cr, and BIA and their association with strength in a sample of c

86 18 kg in female) were then underwent CT and BIA (Tanita MC780 MA) on the same day to measure muscle

87 Body composition was measured using DXA and BIA (Omron HBF-306C) at a single time point.

88 a 60 mg dose of D(3)Cr and completed DXA and BIA measures in addition to trunk and leg strength tests

89 ty of FFM and fat mass determined by DXA and BIA was dependent on the specific BIA equation used.

90 analysis indicated that height, gender, and BIA-derived features exhibit a stronger correlation with

91 %BF was measured by AP, HW, and BIA.

92 y fat estimates by ADP, TSF measurement, and BIA were compared with those by DXA.

93 coupling injection techniques (FIA, SIA, and BIA) with SPE-based electrochemical detection.

94 lt showed a fair correlation between SMI and BIA (r = 0.54; p < 0.002).

95 total body protein by using a DXA system and BIA unit was developed and compared with NAA as proof of

96 ce was found between underwater weighing and BIA in estimating the fat-free mass of the obese and non

97 approach--the Bayesian Ising Approximation (BIA)-to rapidly calculate posterior probabilities for fe

98 y of a family of nine homologs designated as BIA uptake permeases (BUPs).

99 Binding-inhibition assays (BIAs) were reproducible, and the 2 assays had a high lev

100 stical models showed that 'volumetric-based' BIA measures obtained in parallel, such as distance(2)/R

101 in estimation between AP and BIA and between BIA and HW were not significantly different between the

102 abundance of Gram-negative bacteria between BIA-ALCL and control specimens.

103 Although Spearman correlations between BIA- and DXA-assessed percent fat and fat-free mass were

104 Correlations between BIA- and DXA-assessed percent fat, fat mass, and fat-fre

105 a mean difference of 2.7 +/- 3.2 kg between BIA and DXA.

106 robiota did not differ significantly between BIA-ALCL and controls for any material analyzed.

107 different from %BF(HW) (25.1+/-7.7%) or %BF(BIA) (23.9+/-7.7%), and %BF(AP) was significantly correl

108 %BF(HW) (r = 0.944, P < 0.001) and with %BF(BIA) (r = 0.859, P < 0.01).

109 ommercially-available handheld bioimpedance (BIA) device relative to dual X-ray absorptiometry (DXA)

110 Whole-body BIA data suggest an increase in appendicular body cell m

111 Whole-body BIA was assessed at 50 KHz.

112 verall, greatest relative reactivity in both BIA and adherence inhibition assays was demonstrated aga

113 TSF measurement (Dezenberg equation) and by BIA (Suprasongsin and Lewy equations).

114 ast implants to distinguish seroma caused by BIA-ALCL from other causes of seroma accumulation, such

115 30 patients (20%) met sarcopenic criteria by BIA.

116 eliability was greatest for DXA, followed by BIA and skinfold-thickness measurement.

117 between resistance and reactance measured by BIA and body composition has led to the development of e

118 Body cell mass (BCM) was measured by BIA.

119 Data obtained by BIA indicated limited reactivity of a panel of high-tite

120 ody fat were systematically overestimated by BIA equations (1.37 +/- 6.98%; P < 0.001).

121 with BCM (-0.9 kg/log RNA; P = 0.03), TBF by BIA (-1.4 kg/log RNA; P = 0.05) and by DWF (-1.6 kg/log

122 form by increasing production of the central BIA intermediate (S)-reticuline to 4.6 g L(-1), a 57,000

123 monoclonal T-cell proliferation and clinical BIA-ALCL.

124 Therefore, most commercial BIA devices utilize electrodes that are large enough (i.

125 ulatory activities linked to its constituent BIAs.

126 s received whole-body [68Ga]-DOTATOC-PET/CT, BIA, and DXA-scans.

127 Comparisons were made by using different BIA equations.

128 patients with no clear trend to distinguish BIA-ALCL from controls.

129 Almost all documented BIA-ALCL cases have been associated with a textured devi

130 However, DHPAAS-mediated downstream BIA production requires further improvement.

131 DXA, BIA, SFTs, and BMI are comparably accurate for evaluatin

132 The differences between DXA, BIA, and SKF in the determination of fat mass and FFM ar

133 ias) for estimates of changes in %BF by DXA, BIA, SFTs, and BMI were similar (range: +/-2.0-2.4% of B

134 SD units/y), and faster adiposity gain (eg, BIA total FMI beta, 0.11 kg/m2/y; 95% CI, 0.03-0.19 kg/m

135 with childhood adiposity were stronger (eg, BIA total FMI quartile 4 vs quartile 1 change in beta, 1

136 mptomatic malaria when measured using either BIA.

137 nobese and obese fatness-specific equations (BIA average method) could be used in lieu of the skinfol

138 Only a few BIAs accumulate readily in plants, which limits the phar

139 FFM(BIA) and FFM(DXA) were significantly different (P: < 0.0

140 The difference between FFM(DXA) and FFM(BIA) was significantly greater with greater weight and b

141 Tetrapolar electrodes for BIA were attached to rats' upper and lower trunks, with

142 of the NADP(H) cofactor suggest a model for BIA recognition that implies roles for several key resid

143 There is, however, a tendency for BIA to overestimate percentage body fat, and more so in

144 The variance in percentage of fat values for BIA was significantly smaller than that for the other tw

145 ediction equations for body composition from BIA measures and anthropometry, and factors associated w

146 -calibration protein (DC-TBPro) derived from BIA water, bone mass, and body volume.

147 Poor correlation of TBW derived from BIA with TBW by deuterium dilution was found (r = 0.36,

148 and %BF from whole-body DXA, resistance from BIA, and anthropometric measures were made in 27 obese w

149 d between the W-BIA and the laboratory-grade BIA technology for FFM (55.3 +/- 14.5 kg for W-BIA versu

150 mothers lived in neighborhoods with a high (BIA percentage body fat: beta, 0.55% per year; 95% CI, 0

151 To assess how BIA-ALCL develops, its risk factors, diagnosis, and subs

152 The characteristic loss of chromosome 20 in BIA-ALCL provides further justification to recognize BIA

153 iota of breast, skin, implant and capsule in BIA-ALCL patients (n = 7), and controls via culturing me

154 BOX as a multifunctional oxidative enzyme in BIA metabolism.

155 We show that gains in BIA output coincide with the formation of several substi

156 t of deregulation is significantly higher in BIA-ALCL, as indicated by phosphorylated STAT3 immunohis

157 geting JAK proteins warrant investigation in BIA-ALCL.

158 two O-methyltransferases (OMTs) involved in BIA biosynthesis in sacred lotus.

159 ry, our work identifies two OMTs involved in BIA metabolism in the medicinal plant N. nucifera.

160 catalysis is not known for NMTs involved in BIA metabolism.

161 The N-methyltransferases (NMTs) in BIA biosynthesis can be divided into three groups accord

162 physiological roles for NnOMT1 and NnOMT5 in BIA metabolism, occurring primarily in young leaves and

163 yltransferases (NMTs) play critical roles in BIA biosynthesis, but the molecular basis of substrate r

164 nmental factors have been shown to influence BIA.

165 fatty acid amide hydrolase (FAAH) inhibitor BIA 10-2474 led to the death of one volunteer and produc

166 Last, using an injectable BIA nanoparticle formulation, PPRX-1701, we significantl

167 The INNO BIA AlzBio3 multiplex immunoassay was used to measure CS

168 The CSF biomarkers were measured by INNO-BIA AlzBio3 immunoassay (Abeta1-42, T-tau, and P-tau181;

169 ion have been isolated from N. nucifera, its BIA biosynthetic genes and enzymes remain unknown.

170 Tetrapolar, single-frequency (50 kHz) BIA was included in the third National Health and Nutrit

171 The leg-to-leg BIA system accurately assessed fat-free mass in obese an

172 to determine the validity of the leg-to-leg BIA system in 1) estimating body composition in obese an

173 t-associated anaplastic large cell lymphoma (BIA-ALCL) at a high-volume single institution, which ena

174 t-associated anaplastic large-cell lymphoma (BIA-ALCL) is a CD30-positive, anaplastic lymphoma kinase

175 t-associated anaplastic large cell lymphoma (BIA-ALCL) is a very rare type of T-cell lymphoma that is

176 t-associated anaplastic large-cell lymphoma (BIA-ALCL) is an uncommon, recently recognized disease th

177 t-associated anaplastic large cell lymphoma (BIA-ALCL), a CD30+ T-cell lymphoma associated with textu

178 t-associated anaplastic large cell lymphoma (BIA-ALCL), a rare peripheral T-cell lymphoma, is increas

179 cluding breast implant-associated lymphomas (BIA-ALCL) and intra-mammary lymph node lymphomas.

180 Breast implant-associated lymphomas (BIA-ALCL) constituted 6.5% of cases, exclusively involvi

181 kness, skinfold-derived percentage fat mass, BIA-derived percentage fat mass, BMI, and BMI-defined ov

182 view details the current status of microbial BIA synthesis and derivatization, including rapid develo

183 BI measurements were made with a model BIA-101 apparatus (RJL Systems, Detroit).

184 the bilingual interactive-activation model (BIA+).

185 Moreover, BIA methods show great promise for portable analysis bec

186 Most importantly, non-natural BIAs can be generated through such artificial pathways.

187 nctional genomics platform to identify novel BIA biosynthetic and regulatory genes in opium poppy has

188 However, serially-obtained BIA measures, such as the ratio of the reactance to resi

189 CNAs were detected in 94% of BIA-ALCLs, with losses at chromosome 20q13.13 in 66% of

190 AH inhibitors, that off-target activities of BIA 10-2474 may have played a role.

191 ing in platforms for de novo biosynthesis of BIA derivatives and demonstrating the value of cheminfor

192 Here we present a case of BIA-ALCL in a patient with implants with a textured surf

193 Loss of 20q13.13 is characteristic of BIA-ALCL compared with other classes of ALCL, such as pr

194 ted oral doses (2.5 to 20 mg for 10 days) of BIA 10-2474 had been administered to 84 healthy voluntee

195 Early diagnosis of BIA-ALCL is important as the disease can progress and de

196 s study aimed to assess the effectiveness of BIA in monitoring body water changes during fluid therap

197 rent technology, the utility and efficacy of BIA merit evaluation in large, longitudinal studies if o

198 The reported incidence of BIA-ALCL is highly variable, ranging from 1 in 355 to 1

199 The overall incidence of BIA-ALCL was 1.79 per 1000 patients (1 in 559) with text

200 rologic disorder occurred after ingestion of BIA 10-2474 at the highest dose level used in a phase 1

201 termine the protein interaction landscape of BIA 10-2474 in human cells and tissues.

202 gned to placebo (2 participants) or 50 mg of BIA 10-2474 per day (6 participants).

203 measures were used to investigate a pool of BIA models, which were compared by Akaike Information Cr

204 Because the most common presentation of BIA-ALCL is swelling of the breast with fluid collection

205 Cytokine expression profiling of BIA-ALCL cell lines and clinical specimens reveals a pre

206 f the BTB and the bifunctional properties of BIA as a BTB modulator and a potentiator of chemotherapy

207 The incidence and incidence rate of BIA-ALCL were estimated per patient and per implant.

208 However, the reconstruction of BIA pathways in microorganisms by combining heterologous

209 tic analysis of a relatively large series of BIA-ALCL (n = 29), for which genome-wide chromosomal cop

210 E-coated mast cells in clinical specimens of BIA-ALCL.

211 Values derived from use of BIA and skinfold thickness, estimated by using the Jacks

212 These procedures negate the use of BIA as a fast and simple method.

213 Our results showed that the biosynthesis of BIAs (e.g. morphine, thebaine) was significantly reduced

214 umerous NMTs involved in the biosynthesis of BIAs and other specialized metabolites.

215 een engineered to produce several classes of BIAs, which are rare or difficult to obtain from natural

216 The production of BIAs through synthetic biology approaches provides a hig

217 just the promorphinan/morphinan subclass of BIAs in the Papaveraceae.

218 ucine, a member of the aporphine subclass of BIAs, raising the possibility that STORR, once evolved,

219 revealed the ability to uptake a variety of BIAs and certain pathway precursors (e.g. dopamine), wit

220 Prediction equations based on BIA have been validated and cross-validated in children,

221 Data on BIA-ALCL, such as pathophysiology, patient demographics,

222 s review summarizes the current knowledge on BIA-ALCL cell of origin and immunologic factors underlyi

223 ickness (mean difference: 6.33 +/- 12.3%) or BIA (mean difference: -6.55 +/- 13.6%) and 18O.

224 ) body composition analysis (BCA) and DXA or BIA measurement.

225 ly, but ADP performed better than did TSF or BIA.

226 within 3.5%BF compared with 24-59% for other BIA equations.

227 tively, similar to those for OMTs from other BIA-producing plants.

228 BIA average method, was compared with other BIA equations published previously for 602 American Indi

229 te the performance of 13 published pediatric BIA-based predictive equations for total body water (TBW

230 zyme, suggesting that O-methylation precedes BIA formation from 1-benzylisoquinoline intermediates.

231 mpartment methods had the highest precision; BIA had the lowest.

232 Presently, BIA does not appear to be a useful clinical technique fo

233 central six-membered rings in protoberberine BIA compounds.

234 ly, the inclusion of two additional putative BIA biosynthesis enzymes, SiCNMT2 and NnOMT5, into our b

235 provides further justification to recognize BIA-ALCL as a separate disease entity.

236 both synthetic and viral vectors to regulate BIA metabolism and biosynthesis.

237 Codeine and morphine are two closely related BIAs with particularly useful analgesic properties.

238 ed as a simple index (stature2/ resistance), BIA is more sensitive and specific for grading average a

239 thase for the efficient synthesis of several BIAs, including six non-natural alkaloids, in cascades f

240 Shifting BIA production to microbial sources could provide a scal

241 Among men, no single BIA equation was more highly predictive of fat mass and

242 by DXA and BIA was dependent on the specific BIA equation used.

243 for the differential occurrence of specific BIAs in each cultivar as demonstrated using the biochemi

244 After SPR-BIA the tagged peptides were either eluted from the bios

245 nance biomolecular interaction analysis (SPR-BIA).

246 Detection limits for both SPR-BIA and MALDI-TOF were at the low-femtomole to subfemtom

247 Standard BIA equations may not accurately estimate FFM and fat ma

248 erent investigators follow the same standard BIA procedures and use the same population and criterion

249 In a phase 1 study, BIA 10-2474, an orally administered reversible FAAH inhi

250 ive evaluation of the patient with suspected BIA-ALCL.

251 in the evaluation of patients with suspected BIA-ALCL.

252 (P < 0.005) lower regional body fat and TBF (BIA: -9.5 kg; DWF: -7.3 kg) but nonsignificantly lower B

253 CM (-1.7 kg) but nonsignificantly lower TBF (BIA: -1.3 kg; DWF: -1.83 kg) than did men without such i

254 While DXA LST values were higher than BIA and D(3)Cr in predicting strength, the values did no

255 This study confirms that BIA prediction models may not be appropriate for individ

256 and S2/R (R = 0.53 to 0.85), indicating that BIA and FFM derived from skinfold thicknesses are better

257 The BIA approach is most appropriate for estimating adiposit

258 The BIA indicated that although the screening adherent subgr

259 The BIA system with amperometric detection using a glassy-ca

260 The BIA-derived model exhibited a mean absolute error (MAE)

261 The BIA-derived, image-derived, and fused AI models were dev

262 Both the BIA and FIA compared results from early 2018 (baseline)

263 ltured microbes, were identified in both the BIA-ALCL and contralateral control breast.

264 Nonetheless, for the BIA by using the current cut-offs demonstrated unaccepta

265 health and socioeconomic status data for the BIA.

266 In the BIA, we calculated a concentration index to assess the d

267 cal results illustrating the accuracy of the BIA on some simple regression problems.

268 lly, we demonstrate the applicability of the BIA to high-dimensional regression by analyzing a gene e

269 odeling equation was less important than the BIA measurements.

270 onformation in the B1a1 loop adjacent to the BIA-binding pocket.

271 urately estimated within 3.5%BF by using the BIA average method whereas only 71% and 46% were accurat

272 ific equations, used in combination with the BIA average method, was compared with other BIA equation

273 Thus, BIA is not particularly useful for performance predictio

274 articles, and any other articles relevant to BIA-ALCL were included.

275 heterologous enzymes can also give access to BIAs through cascade reactions.

276 tory stimulus, possibly infectious, triggers BIA-ALCL.

277 s (bisBIAs), produced by the coupling of two BIA monomers, have been characterized and display a rang

278 rs, but it is advisable to use untransformed BIA measurements rather than to convert resistance measu

279 The present study aimed to compare various BIA models in the prediction of direct measures of body

280 ment, DXA, TBW(VRJ), 3-compartment, Db(VRJ), BIA, air displacement plethysmography body density, and

281 wearable bioelectrical impedance analysis (W-BIA) model smart watches in sitting and standing positio

282 nificant differences were observed between W-BIA watches in position or between watch models.

283 nces (P < 0.05) were observed between both W-BIA and 8-BIA when compared to DXA, though the systemati

284 A technology for FFM (55.3 +/- 14.5 kg for W-BIA versus 56.0 +/- 13.8 kg for 8-BIA; P > 0.05; Lin's c

285 = 0.4 kg] versus 1.3% (RMSE = 0.7 kg) for W-BIA}, requiring more repeat measures to equal the same c

286 ficant difference was observed between the W-BIA and the laboratory-grade BIA technology for FFM (55.

287 After systematic correction, smart-watch BIA devices are capable of stable, reliable, and accurat

288 nally, we report the use of a wrist-wearable BIA device with single-finger contact measurement and cl

289 ies from the Framingham Heart Study in which BIA was first compared with dual-energy X-ray absorptiom

290 ation have been detected and associated with BIA-ALCL pathogenesis in a small number of cases.

291 Eleven patients were diagnosed with BIA-ALCL, all of whom had a history of textured implants

292 mass, and percentage body fat estimated with BIA and underwater weighing before and after 12 wk of in

293 consistent differences between patients with BIA-ALCL-affected and contralateral control breasts, thi

294 0.76) and between skeletal muscle ratio with BIA: r = 0.81, rhoC = 0.49.

295 Treatment with BIA increased intratumoral cisplatin accumulation and po

296 ts (96% male; mean age: 69.5 +/- 6.0 years), BIA-assessed fat mass was strongly correlated (rho = 0.9