ライフサイエンスコーパス: fundus

1 timulating hormone secreted from the gastric fundus.

2 ed vision and with subtle alterations of the fundus.

3 l to affect every layer of blood flow in the fundus.

4 s such as refractive errors, strabismus, and fundus abnormalities are frequent in children with FASD

5 Identifying these specific fundus abnormalities is essential to avoid diagnosis wan

6 Fundus abnormalities were observed in 8 patients (10.1%)

7 The frequency of fundus abnormalities were similar in diabetic and non-di

8 her IOP (P = 0.010) but similar frequency of fundus abnormalities with non-diabetic patients (P > 0.0

9 significant association was observed between fundus abnormalities, VA, or IOP with hematologic parame

10 nts revealed histological characteristics of fundus AF abnormalities.

11 e first to document the rapid progression of fundus alterations and their stabilization after disease

12 The color fundus and optical coherence tomography (OCT) images wer

13 but had a similar occurrence of sunset glow fundus and uveitis.

14 gender specific relationship between SUA and fundus arteriosclerosis in a healthy population.

15 of SUA were associated with the incidence of fundus arteriosclerosis in males, but not in females.

16 icantly associated with the risk of incident fundus arteriosclerosis.

17 pecific association between SUA and incident fundus arteriosclerosis.

18 e dose-response relationship between SUA and fundus arteriosclerosis.

19 vel was not associated with the incidence of fundus arteriosclerosis.

20 en MIDD and demarcated RPE atrophy on serial fundus autofluorescence (AF) images were included.

21 hy (OCT), fluorescein angiography (FA), blue fundus autofluorescence (BFAF), en face OCT, and OCT ang

22 of at least 4 years and had undergone annual fundus autofluorescence (FAF) and OCT imaging using Heid

23 e of change in GA over 12 months measured by fundus autofluorescence (FAF) at 3 timepoints: baseline,

24 Fundus autofluorescence (FAF) images from a subset of AR

25 multaneous fundus photographs and SD OCT and fundus autofluorescence (FAF) images of eyes affected wi

26 3 weeks and after 6 weeks, respectively, and fundus autofluorescence (FAF) images were obtained to vi

27 Fundus autofluorescence (FAF) imaging is crucial to the

28 Most studies of fundus autofluorescence (FAF) in geographic atrophy (GA)

29 omain optical-coherence-tomography (SD-OCT), fundus autofluorescence (FAF), and near-infrared-reflect

30 y (FP), OCT, fluorescein angiogram (FA), and fundus autofluorescence (FAF).

31 ment epithelium (RPE) is the major source of fundus autofluorescence (FAF).

32 al RPE area in untreated eyes with CHM using fundus autofluorescence (FAF).

33 uding near-infrared reflectance (NIR), green fundus autofluorescence (G-FAF), confocal pseudocolor, a

34 dal retinal imaging, including near-infrared fundus autofluorescence (NIR-AF), blue autofluorescence

35 110 control subjects underwent quantitative fundus autofluorescence (qAF) imaging using a confocal s

36 articipants were examined using quantitative fundus autofluorescence (qAF) imaging with a modified co

37 SW-AF intensities, measured as quantitative fundus autofluorescence (qAF), indicated chronic impairm

38 In short-wavelength fundus autofluorescence (SW-AF) images, speckled hyperau

39 e symmetry that presents on short-wavelength fundus autofluorescence (SW-AF) imaging with hyperautofl

40 erized clinically and imaged with short-wave fundus autofluorescence (SW-FAF), spectral-domain optica

41 the hyperautofluorescent ring on short-wave fundus autofluorescence (SW-FAF).

42 ata, signs and symptoms, visual acuity (VA), fundus autofluorescence and OCT findings, ERG phenotype,

43 of clinical notes, retinal imaging including fundus autofluorescence and OCT, electroretinography (ER

44 Fundus autofluorescence and spectral-domain optical cohe

45 onal and morphologic examinations, including fundus autofluorescence and spectral-domain optical cohe

46 Fundus autofluorescence demonstrated interposed, reduced

47 ain optical coherence tomography (SDOCT) and fundus autofluorescence images were acquired every 6 mon

48 aluated, including color fundus photographs, fundus autofluorescence images, and spectral-domain OCT

49 papillary sparing is a consistent feature on fundus autofluorescence images, whereas the same region

50 ripapillary sparing as consistent feature on fundus autofluorescence images.

51 Quantitative fundus autofluorescence imaging revealed characteristic

52 l patients underwent spectral-domain OCT and fundus autofluorescence imaging using the Spectralis HRA

53 erations on optical coherence tomography and fundus autofluorescence imaging, retinal function assess

54 Area and growth of GA were measured using fundus autofluorescence imaging.

55 aser ophthalmoscopy infrared reflectance and fundus autofluorescence imaging.

56 tudies that monitored atrophy progression by fundus autofluorescence in untreated eyes with STGD1 for

57 Fundus autofluorescence is a valuable imaging tool in th

58 domain OCT results, OCT angiography results, fundus autofluorescence results, ultra-widefield fluores

59 Fundus autofluorescence showed zonal areas of hypoautofl

60 Fluorescein angiography and fundus autofluorescence were useful in determining lesio

61 with biomicroscopy, OCT and OCT angiography, fundus autofluorescence, and fluorescein and indocyanine

62 ear interval with near-infrared reflectance, fundus autofluorescence, and spectral-domain OCT.

63 ld imaging included pseudocolor photography, fundus autofluorescence, fluorescein angiography, and in

64 Fundus autofluorescence, fundus color photography, and s

65 he retina included color fundus photography, fundus autofluorescence, intravenous fluorescein angiogr

66 , retinal imaging (color fundus photography, fundus autofluorescence, OCT), electrophysiologic assess

67 ross studies using color fundus photography, fundus autofluorescence, or OCT (P = 0.35-0.99).

68 ral OCT, near-infrared reflectance, and blue fundus autofluorescence, were investigated.

69 iography, indocyanine green angiography, and fundus autofluorescence.

70 fundus photography, spectral-domain OCT, and fundus autofluorescence.

71 trophy was delineated on the basis of serial fundus-autofluorescence and infrared-reflectance images.

72 before any microvascular pathologies on the fundus become detectable.

73 phenotypes, such as a Stargardt-like flecked fundus, bull's eye maculopathy, or pattern dystrophy.

74 focal device than for the conventional flash fundus camera (0.071% versus 0.025%, p < 0.001).

75 w with the Remidio FOP and a Topcon tabletop fundus camera (Topcon Medical Systems, Inc., Oakland, NJ

76 rvue, Padova, Italy) and a traditional flash fundus camera (TRC-NW8, Topcon Corporation, Tokyo, Japan

77 y (DR) compared with a conventional tabletop fundus camera and clinical examination.

78 ion of the retinal vasculature morphology in fundus camera images.

79 monstrate the ability to modify a commercial fundus camera into a low-cost laser speckle contrast ima

80 ecially equipped to allow an ultra-widefield fundus camera to be mounted inside, and the van was sent

81 LED confocal system than in the conventional fundus camera.

82 y to be purchased by every health clinic, so fundus cameras are an inconvenient tool for widespread s

83 However, fundus cameras are too big and heavy to be transported e

84 improve chances of effective treatment where fundus cameras are used to capture retinal image.

85 Conventional flash fundus cameras capture color images that are oversaturat

86 Additional fundus cameras were placed in several high-volume clinic

87 s 500, 2 capture montages when possible, UWF fundus cameras.

88 age-related macular degeneration (AMD)-like fundus changes.

89 to person-based AMD severity groups based on fundus characteristics (drusen, pigmentary changes, late

90 Fundus autofluorescence, fundus color photography, and spectral-domain OCT were c

91 hotography, and functional testing including fundus-controlled microperimetry.

92 and red sensitivities were assessed by using fundus-controlled perimetry ("microperimetry"); and reti

93 However, mesopic and dark-adapted two-color fundus-controlled perimetry (FCP, also called "microperi

94 ally related preserved retinal thickness and fundus-controlled perimetry results, and with normal ful

95 by full-field electroretinography (ERG) and fundus-controlled perimetry, and genotype.

96 ds to loss of vision in patients with Sorsby Fundus Dystrophy (SFD), an inherited, macular degenerati

97 The intraocular pressure was 28 mmHg, fundus exam revealed tortuous veins and a flame shaped h

98 Agreement between TRI and dilated fundus examination (DFE) findings was determined by calc

99 Her fundus examination and extensive ancillary testing were

100 Dilated fundus examination and fundus photography were evaluated

101 rehensive eye examination, including dilated fundus examination and imaging.

102 ients with optic neuropathy and a documented fundus examination at visual symptom onset demonstrated

103 e obtained and cross-referenced with dilated fundus examination findings with regard to DR severity a

104 ual acuity (VA) testing, refraction, dilated fundus examination fluorescein angiography (FA) and SD-O

105 l vision 10/10, vision field test normal and fundus examination found no papilledema images.

106 importance continued monitoring with regular fundus examination in adolescents and adults with regres

107 Fundus examination in the right eye revealed oblique CFs

108 Fundus examination of the right eye showed an aberrant r

109 Thus, a careful pre-cataract surgery fundus examination remains an essential part of the pres

110 Dilated fundus examination showed an inferior bullous RD with no

111 us imaging (SBFI) allows for low-cost mobile fundus examination using an adapter on a smartphone; how

112 of intraocular pressure, gonioscopy, dilated fundus examination, and fluorescein angiography is recom

113 nding of a macular cherry-red spot on ocular fundus examination.

114 asizing the importance of a detailed dilated fundus examination.

115 nating formal visual acuity (VA) and dilated fundus examinations (DFEs) were assessed for established

116 ring, slit-lamp, dilated ophthalmoscopy, and fundus examinations.

117 ed for the presence of each of the following fundus features on color fundus photography: large soft

118 Three patients demonstrated Coats-like fundus findings at the time of RP diagnosis.

119 Baseline fundus fluorescein angiograms and OCT images were graded

120 Fundus fluorescein angiography (FAG) revealed central hy

121 s were studied using fundus imaging, SS-OCT, fundus fluorescein angiography (FFA), and indocyanine gr

122 The findings were compared with fundus fluorescein angiography (FFA), and swept-source o

123 lso underwent indocyanine green angiography, fundus fluorescein angiography, mesopic microperimetry,

124 study participants from the UK Biobank, the fundus-image-only, metadata-only and combined models pre

125 We reanalyzed the fundus images at baseline, week 12, and week 52 to asses

126 wo-field retinal imaging was used to capture fundus images before and after pupil dilatation, using a

127 Automated anaemia screening on the basis of fundus images could particularly aid patients with diabe

128 Fundus images for each patient were evaluated, including

129 athy Study [ETDRS] and ultra-widefield [UWF] fundus images for PDR) interpreted by trained nonmedical

130 ature at very early stages of diabetes using fundus images from preclinical models of diabetes.

131 tor (VEGF) injections when needed and stereo fundus images looking at the regression of NVs.

132 ences in the various extracted features from fundus images of diabetic and non-diabetic animals.

133 ning in classifying full-scale DR in retinal fundus images of patients with diabetes.

134 In total 104 fundus images were subjected to analysis for various fea

135 ne-learning algorithms trained using retinal fundus images, study participant metadata (including rac

136 In ultrawide-field fundus images, we observed radially arranged puncta typi

137 poration, Tokyo, Japan) were used to capture fundus images.

138 ct over 20 features from retinal vasculature fundus images.

139 quantify various retinal vascular changes in fundus images.

140 Smartphone-based fundus imaging (SBFI) allows for low-cost mobile fundus

141 Smartphone-based fundus imaging based on indirect ophthalmoscopy yielded

142 Smartphone-based fundus imaging can meet DR screening requirements in an

143 ation of PPS maculopathy by masked review of fundus imaging in this dataset.

144 All patients underwent ultra-widefield fundus imaging including pseudocolor and fluorescein ang

145 The CMR sign seen on ultra-widefield fundus imaging may be a distinctive feature of foveal hy

146 Smartphone-based fundus imaging might aid in alleviating the burden of DR

147 erent duration of diabetes were subjected to fundus imaging using a Micron III imaging system.

148 Ultra-widefield fundus imaging, including color fundus photography and a

149 l data, color, infrared and autofluorescence fundus imaging, optical coherence tomographic scans, and

150 OV now similar to autofluorescence and color fundus imaging, SS OCT imaging can be used as the sole i

151 Both eyes of all patients were studied using fundus imaging, SS-OCT, fundus fluorescein angiography (

152 al testing, optical coherence tomography and fundus imaging.

153 from optical coherence tomography and color fundus imaging.

154 ptical coherence tomography (OCT), and color fundus imaging.

155 d widefield pseudocolor and autofluorescence fundus imaging.

156 En-face images of the fundus in live Caribbean flamingos acquired using spectr

157 lude ellipsoid zone disruption (100%), white fundus lesions (92%), FA hyperfluorescence (92%), foveal

158 vs. 121+/-57; P = 0.0020) and regression of fundus neovascularization when present.

159 Sunset glow fundus occurred in 34 of 58 eyes (58.6%).

160 Further, we highlight (1) the fundus of the parieto-occipital sulcus as a landmark for

161 -anterior response profiles, we identify the fundus of the parieto-occipital sulcus as a potential lo

162 ntent of the hernial sac was found to be the fundus of the significantly ptotic, large gallbladder.

163 0.92 and -0.83, respectively; P < 0.001) and fundus photograph scores (r = -0.80 and -0.83, respectiv

164 ms have been developed for classifying color fundus photographs (CFP) of individual eyes by AREDS sev

165 al Analysis: A comparative analysis of color fundus photographs (CFPs), OCT, and FAF was performed fo

166 All eyes were imaged with UWF color fundus photographs (CFPs), UWF FA, and SS-WF OCTA at bas

167 BS scores were highly correlated for OCT and fundus photographs (r = 0.96 and 0.82, respectively).

168 position was assessed by 2 observers using 5 fundus photographs and 5 FoDi analyses each.

169 were trained and validated using 85% of the fundus photographs and further retested (validated) on t

170 iative for Macular Research, was assessed by fundus photographs and optical coherence tomographic ima

171 We retrospectively reviewed simultaneous fundus photographs and SD OCT and fundus autofluorescenc

172 The test sample consisted of 33 466 pairs of fundus photographs and SD OCT images collected during 71

173 utional neural network was trained to assess fundus photographs and to predict SD OCT global RNFL thi

174 Fundus photographs and visual fields were carefully exam

175 a-involving IRH was determined from baseline fundus photographs by human graders and confirmed with m

176 Retinal specialists evaluated color fundus photographs fluorescein and indocyanine green ang

177 A total of 66 721 fundus photographs from 3272 eyes of 1636 subjects who p

178 arm of artificial intelligence, using color fundus photographs from AREDS/AREDS2 was superior in som

179 Fundus photographs graded at baseline and years 1 and 2

180 lgorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement

181 ssessed the densitometric profile of DH from fundus photographs in the Ocular Hypertension Treatment

182 en all participants had mydriatic 45 degrees fundus photographs obtained from three fields of view wi

183 anually delineated atrophic lesions on color fundus photographs of 318 eyes with GA followed up over

184 We manually delineated GA on 1654 fundus photographs of 365 eyes.

185 Fundus photographs of all infants undergoing ROP screeni

186 Charts and fundus photographs of consecutive patients with active T

187 The SLG were not visible in color fundus photographs or in NIR images.

188 ce test for GON was specialist evaluation of fundus photographs or OCT, independent of the visual fie

189 Fundus photographs showed large, uncorrelated difference

190 deep learning model was trained to use color fundus photographs to predict GA presence from a populat

191 AMD features were graded on fundus photographs using the Rotterdam classification.

192 ere determined by grading stereoscopic color fundus photographs using the Wisconsin Age-Related Macul

193 Color fundus photographs were assessed by the 9-step Age-Relat

194 Color fundus photographs were collected at annual study visits

195 Fundus photographs were collected at annual study visits

196 Color fundus photographs were collected at annual study visits

197 Baseline and annual stereoscopic color fundus photographs were evaluated for (1) GA presence an

198 Color fundus photographs were graded manually and OCT scans un

199 To evaluate the progression to late AMD, fundus photographs were obtained at baseline and annual

200 Fundus photographs were obtained followed by neuro-ophth

201 Fundus photographs were obtained serially for 26 eyes of

202 Color fundus photographs were reviewed to correlate with the s

203 eloped to detect the presence of GA in color fundus photographs, and 2 additional models were develop

204 The clinical examinations, fundus photographs, and OCT images of all patients with

205 Clinical records, fundus photographs, and OCT imaging for patients with CL

206 DR was measured every 6 months from standard fundus photographs, and refractive error was measured an

207 By using 66 721 fundus photographs, deep learning models were trained an

208 each patient were evaluated, including color fundus photographs, fundus autofluorescence images, and

209 Retrospective analysis of color fundus photographs, OCT, and OCTA of 20 eyes with CHRRPE

210 harts were reviewed for amblyopia treatment, fundus photographs, optical coherence tomography (OCT),

211 a deep learning model to predict ci-DME from fundus photographs, with an ROC-AUC of 0.89 (95% CI: 0.8

212 Eighty-four eyes of 42 patients had baseline fundus photographs, with baseline OCT in 31 eyes of 16 p

213 generation was diagnosed and graded based on fundus photographs.

214 lar changes during ophthalmoscopy or through fundus photographs.

215 aseline color non- simultaneous stereoscopic fundus photographs.

216 ated) on the remaining (held-out) 15% of the fundus photographs.

217 AMD was diagnosed by grading of fundus photographs.

218 Incidence of advanced AMD based on retinal fundus photographs.

219 Incident AMD was graded on fundus photographs.

220 DR screening examinations, including 7-field fundus photographs.

221 rk (GAN) capable of producing FA images from fundus photographs.

222 t of retinal degeneration observed in OCT or fundus photographs; by using the fellow eye as a control

223 (9.3% vs. 3.3%), and urgent referrals due to fundus photography (1.8% vs. 1.1%).

224 T (27.4%), refraction (9.9%), B-scan (8.7%), fundus photography (8.0%) were the most commonly perform

225 (11.3% vs. 4.4%), nonurgent referrals due to fundus photography (9.3% vs. 3.3%), and urgent referrals

226 All participants underwent OCT and color fundus photography (CFP) at baseline and were then revie

227 -nine MacTel 2 eyes without pigment on color fundus photography (CFP) at presentation were studied ov

228 geographic atrophy (GA) as defined on color fundus photography (CFP).

229 ng, including Humphrey visual field testing, fundus photography (FP), OCT, fluorescein angiogram (FA)

230 Disc-fovea angle determined by fundus photography (P-DFA) is considered the gold standa

231 ra-widefield fundus imaging, including color fundus photography and angiography, was performed using

232 screening were analyzed against conventional fundus photography and clinical examination.

233 ARBOR were analyzed for hemorrhage on DFE or fundus photography and exudative activity on SD OCT.

234 ients were evaluated on a monthly basis with fundus photography and fluorescein angiography before an

235 acular atrophy (MA) in HARBOR analyzed color fundus photography and fluorescein angiography image dat

236 OCT usage increased while the utilization of fundus photography and IVFA has declined.

237 Anatomic outcomes were assessed with fundus photography and OCT for up to 12 months of follow

238 ments and then correlate these findings with fundus photography and OCT to determine a critical perio

239 pathic intracranial hypertension (IIH) using fundus photography and OCT.

240 ng and multimodal retinal imaging, including fundus photography and optical coherence tomography (OCT

241 es that had longitudinal follow-up with both fundus photography and SD OCT.

242 Clinical records, including fundus photography and ultrasound results, were reviewed

243 tients with evidence of hemorrhage on DFE or fundus photography at 3 months and no evidence of SD-exu

244 moscopic examination, and stereoscopic color fundus photography at baseline and annual study visits o

245 VA testing, ophthalmoscopic examination, and fundus photography at baseline and annual visits.

246 s underwent OCTA imaging and ultra-widefield fundus photography at Zuckerberg San Francisco General H

247 Of the 55 eyes with fundus photography available at 2 years, 33 (60.0%) had

248 Fundus photography decreased from 14.6% in 2012 to 11.7%

249 had a higher proportion of referrals due to fundus photography findings (11.3% vs. 4.4%), nonurgent

250 evaluation by an ophthalmologist because of fundus photography findings and urgency of referral (urg

251 used to estimate the odds of referral due to fundus photography findings compared with standard care.

252 All participants underwent nonmydriatic fundus photography followed by automated retinal image a

253 From fundus photography grading, the cause of poor vision app

254 Color fundus photography have been extensively used to explore

255 sen were visualized with corresponding color fundus photography in only 38 eyes (4% of total eyes).

256 Retinal fundus photography is a safe imaging technique used for

257 diagnosis involves 3D imaging, 2D imaging by fundus photography is usually used in screening settings

258 OCT had a good agreement with the fundus photography method.

259 Autofluorescence and fundus photography showed a lower positive (40%-60%) and

260 and electroretinograms (retinal imaging and fundus photography were collected and analyzed when avai

261 Dilated fundus examination and fundus photography were evaluated for hemorrhage, and sp

262 Visual acuity data and fundus photography were obtained in a clinical trial env

263 of single-field 45-degree nonmydriatic color fundus photography with referral thresholds of severe no

264 (B-AF), optical coherence tomography (OCT), fundus photography, and functional testing including fun

265 P involved eye exams, dilation and 40-degree fundus photography, and teleconsultation with an ophthal

266 care involved technician eye exams, optional fundus photography, and teleconsultation with an ophthal

267 ed OCT, blue-light autofluorescence imaging, fundus photography, and widefield pseudocolor and autofl

268 odalities imaging equipment, including color fundus photography, fluorescein angiography (FA), OCT, a

269 The SRC received details and images (color fundus photography, fluorescein angiography, and OCT) fo

270 All patients had multimodal imaging (fundus photography, fluorescein angiography, autofluores

271 ctional testing of the retina included color fundus photography, fundus autofluorescence, intravenous

272 Review of case notes, retinal imaging (color fundus photography, fundus autofluorescence, OCT), elect

273 te was consistent across studies using color fundus photography, fundus autofluorescence, or OCT (P =

274 Patients underwent color fundus photography, near-infrared reflectance (NIR), spe

275 Selected eyes were imaged with fundus photography, OCT, OCT angiography, indocyanine gr

276 mic assessment and retinal imaging including fundus photography, optical coherence tomography (OCT),

277 We recorded fundus photography, optical coherence tomography (OCT),

278 al evaluation was performed, including BCVA, fundus photography, spectral-domain OCT, and fundus auto

279 bjects were tested every 3 months with color fundus photography, spectral-domain OCT, and slit-lamp b

280 l retinal imaging, including ultra-widefield fundus photography, structural OCT, near-infrared reflec

281 uations, including ophthalmic ultrasound and fundus photography, were performed according to a standa

282 ) demonstrated a CMR sign on ultra-widefield fundus photography.

283 ce of a CMR sign detected on ultra-widefield fundus photography.

284 AMD severity was determined by color fundus photography.

285 r sensitivity for visualizing RPD than color fundus photography.

286 n 89% of eyes when hemorrhage was present on fundus photography.

287 f eyes when hemorrhage was present on DFE or fundus photography.

288 s, 118 using single-Maddox rod, and 43 using fundus photography.

289 ch of the following fundus features on color fundus photography: large soft drusen, reticular pseudod

290 ce tomography was applied to a subset of 490 fundus photos of 490 eyes of 370 subjects graded by 2 gl

291 were diagnosed with ROP and 39.4% had light fundus pigmentation (FP).

292 mean autofluorescence (AF) intensity in both fundus short-wavelength autofluorescence (SW-AF) and nea

293 tly more frequent between the corpus and the fundus than with the antrum, suggesting that physiologic

294 uating choroidal vasculature from the entire fundus using ultra-widefield (UWF) indocyanine green ang

295 data from synthetic, mouse-brain, lung, and fundus vasculature phantoms were used for training and t

296 Fundus was not visible.

297 Transarterial embolization of the gastric fundus was performed using 300- to 500-um embolic micros

298 , the extension of drusenoid deposits on the fundus was stopped and a disappearance of the subretinal

299 stereoacuity, strabismus, ocular media, and fundus were investigated.

300 The face-selective patches in the STS fundus were most sensitive to facial expression, as was