中华眼视光学与视觉科学杂志
中華眼視光學與視覺科學雜誌
중화안시광학여시각과학잡지
CHINESE JOURNAL OF OPTOMETRY OPHTHALMOLOGY AND VISUAL SCIENCE
2015年
6期
345-349
,共5页
陈吉利%郑策%谢晓玲%陈文霞%曹婷怡%许斐平%王莎莎
陳吉利%鄭策%謝曉玲%陳文霞%曹婷怡%許斐平%王莎莎
진길리%정책%사효령%진문하%조정이%허비평%왕사사
体层摄影术,光学相干%可重复性%视网膜神经纤维层%光学特征%吸光度%吸光系数
體層攝影術,光學相榦%可重複性%視網膜神經纖維層%光學特徵%吸光度%吸光繫數
체층섭영술,광학상간%가중복성%시망막신경섬유층%광학특정%흡광도%흡광계수
Tomography,optical coherence%Repeatability%Retinal nerve fiber layer%Optical characters%Optical density%Attenuate coefficient
目的 评估使用光学相干断层扫描(OCT)定量测量视网膜神经纤维层(RNFL)光学特征的可重复性.方法 横断面研究.共连续纳入正常受检者50例(50眼),应用Cirrus OCT的5线高清扫描模式和视盘数据方模式,在1d内的不同时间获取RNFL的原始图像数据,并通过2位检查者在双盲情况下使用自编程图像处理软件分析RNFL的光学特征,包括吸光度和吸光系数.运用组内标准差,组内相关系数(ICC),变异系数(COVs)和Bland-Altman方法来评估OCT光学特征定量测量和自编程图像分析软件的可重复性.结果 受检者的年龄为(51.2±8.1)岁.黄斑区/视盘周边区RNFL厚度、吸光度和吸光系数分别为(34.38±3.45)μm/(89.07±3.19)μm、(117.90±6.02)灰度/(138.10±18.25)灰度和(1.99-±0.16)/(3.48--±0.64).RNFL厚度、吸光度以及吸光系数的ICC为0.712～0.952,COVs为2.20％～6.54％.黄斑区/视盘周边区RNFL吸光度OCT 2次测量结果之间的平均偏差分别为-0.01灰度/0.33灰度,吸光系数为0.01/-0.01.自编程图像处理软件测量的RNFL厚度、吸光度及吸光系数的ICC为0.928～0.979,COVs均小于6％(1.35％～4.24％).结论 OCT光学特征定量测量和自编程图像分析软件定量测量RNFL光学特征可取得较高的可重复性.
目的 評估使用光學相榦斷層掃描(OCT)定量測量視網膜神經纖維層(RNFL)光學特徵的可重複性.方法 橫斷麵研究.共連續納入正常受檢者50例(50眼),應用Cirrus OCT的5線高清掃描模式和視盤數據方模式,在1d內的不同時間穫取RNFL的原始圖像數據,併通過2位檢查者在雙盲情況下使用自編程圖像處理軟件分析RNFL的光學特徵,包括吸光度和吸光繫數.運用組內標準差,組內相關繫數(ICC),變異繫數(COVs)和Bland-Altman方法來評估OCT光學特徵定量測量和自編程圖像分析軟件的可重複性.結果 受檢者的年齡為(51.2±8.1)歲.黃斑區/視盤週邊區RNFL厚度、吸光度和吸光繫數分彆為(34.38±3.45)μm/(89.07±3.19)μm、(117.90±6.02)灰度/(138.10±18.25)灰度和(1.99-±0.16)/(3.48--±0.64).RNFL厚度、吸光度以及吸光繫數的ICC為0.712～0.952,COVs為2.20％～6.54％.黃斑區/視盤週邊區RNFL吸光度OCT 2次測量結果之間的平均偏差分彆為-0.01灰度/0.33灰度,吸光繫數為0.01/-0.01.自編程圖像處理軟件測量的RNFL厚度、吸光度及吸光繫數的ICC為0.928～0.979,COVs均小于6％(1.35％～4.24％).結論 OCT光學特徵定量測量和自編程圖像分析軟件定量測量RNFL光學特徵可取得較高的可重複性.
목적 평고사용광학상간단층소묘(OCT)정량측량시망막신경섬유층(RNFL)광학특정적가중복성.방법 횡단면연구.공련속납입정상수검자50례(50안),응용Cirrus OCT적5선고청소묘모식화시반수거방모식,재1d내적불동시간획취RNFL적원시도상수거,병통과2위검사자재쌍맹정황하사용자편정도상처리연건분석RNFL적광학특정,포괄흡광도화흡광계수.운용조내표준차,조내상관계수(ICC),변이계수(COVs)화Bland-Altman방법래평고OCT광학특정정량측량화자편정도상분석연건적가중복성.결과 수검자적년령위(51.2±8.1)세.황반구/시반주변구RNFL후도、흡광도화흡광계수분별위(34.38±3.45)μm/(89.07±3.19)μm、(117.90±6.02)회도/(138.10±18.25)회도화(1.99-±0.16)/(3.48--±0.64).RNFL후도、흡광도이급흡광계수적ICC위0.712～0.952,COVs위2.20％～6.54％.황반구/시반주변구RNFL흡광도OCT 2차측량결과지간적평균편차분별위-0.01회도/0.33회도,흡광계수위0.01/-0.01.자편정도상처리연건측량적RNFL후도、흡광도급흡광계수적ICC위0.928～0.979,COVs균소우6％(1.35％～4.24％).결론 OCT광학특정정량측량화자편정도상분석연건정량측량RNFL광학특정가취득교고적가중복성.
Objective To determine the repeatability of the optical characteristics of the retinal nerve fiber layer (RNFL) measured with optical coherence tomography (OCT) in healthy Chinese individuals.Methods In this cross-sectional study,50 eyes of 50 normal subjects were consecutively recruited.RNFLs were imaged twice using a Cirrus OCT device with a 5-line raster macular scan and an optic disc cube mode in one day by a single operator.Customized software was used to measure RNFL optical characteristics,including optical density and the attenuation coefficient.Repeatability of OCT and customized software measurements were described by intraclass correlation coefficients (ICCs),coefficients of variation (COVs) and the Bland-Altman method.Results The mean and standard deviation of age were 51.2±8.1 years.The mean and standard deviations of macular RNFL thickness,optical density and the attenuation coefficient were 34.38±3.45 μm,117.90±6.02 grey and 1.99±0.16,respectively.The mean and standard deviations of optic disc RNFL thickness,optical density and the attenuation coefficient were 89.07±3.19 μm,138.10±18.25 grey and 3.48±0.64,respectively.All the evaluated RNFL parameters had good to excellent reproducibility.ICC ranged from 0.712 to 0.952 and COV ranged from 2.20％ to 6.54％.The bias between two OCT measurements were-0.01 grey/0.33 grey and 0.01/-0.01,respectively,for macular and optic disc RNFL optical density and attenuation coefficients.Customized software showed excellent reproducibility in RNFL measurements.ICC ranged from 0.928 to 0.979 and COVs all bellowed 6％(1.35％-4.24％) for RNFL parameters measurement.Conclusion In our population of normal adult Chinese eyes,there is good repeatability of RNFL optic characteristics measured by OCT and customized software.
