Automated antinuclear immunofluorescence antibody analysis is a reliable approach in routine clinical laboratories

IIf公司 抗核抗体 间接免疫荧光 效价 金标准(测试) 免疫荧光 人工智能 医学 病理 计算机科学 自身抗体 抗体 内科学 免疫学
作者
Bing Zheng,Enling Li,Haoming Zhu,LU Jing-bo,Xinming Shi,Jie Zhang,Min Li
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
卷期号:55 (12) 被引量:12
标识
DOI:10.1515/cclm-2017-0050
摘要

Indirect immunofluorescence (IIF) assays are recommended as the gold standard method for the detection of antinuclear antibodies (ANAs). This study aimed to investigate the reliability of an automated system.We compared 3745 serum samples using NOVA View archived images with manual analysis via microscopy. A custom cutoff value was established to distinguish ANA titers and was validated in two clinical laboratories. The automatic ANA pattern recognition system was evaluated, and all ANA-positive sera were subjected to two commercial ANA IIF kits to compare the consistency of the pattern interpretation results. For inconsistent patterns, a third ANA IIF testing kit was utilized.Agreement of the interpretation of the ANA IIF test using the platform of NOVA View and manual microscopy was 96.9%. The local cutoff value to discriminate ANA titers in four main ANA patterns was calculated based on 1390 serum samples. In our laboratory, the titer prediction accuracy was superior to the preset cutoff in NOVA View (p<0.01); the performance was similar in another laboratory (p=0.11). The automatic pattern recognition accuracies of speckled, homogeneous, centromere, nucleolar and nuclear dot patterns were 62.7%, 57.4%, 92.6%, 30.5% and 27.3%, respectively. The consistency of the pattern interpretation results between INOVA and MBL kits was 95.3%.It is necessary to establish a custom value-added ANA report. However, confirmation of the digital immunofluorescence images by expert technicians was essential, and suspect results of an ANA pattern should be reconfirmed by another commercial ANA IIF kit to achieve more reliable results.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
wanci应助何必在乎采纳,获得10
刚刚
刚刚
刚刚
等猫来完成签到,获得积分10
1秒前
kirokiro发布了新的文献求助10
1秒前
大个应助独特烙采纳,获得10
1秒前
2秒前
Jasper应助于miemie采纳,获得10
2秒前
3秒前
kourishen完成签到,获得积分10
4秒前
free发布了新的文献求助10
4秒前
星启发布了新的文献求助10
4秒前
zh1858f发布了新的文献求助10
5秒前
6秒前
yang发布了新的文献求助10
6秒前
6秒前
小张完成签到,获得积分20
7秒前
7秒前
科研通AI6.2应助刘玄德采纳,获得10
8秒前
8秒前
FanLiang完成签到 ,获得积分10
9秒前
9秒前
星辰大海应助翟煜采纳,获得10
9秒前
大模型应助付珊珊采纳,获得10
10秒前
10秒前
小二郎应助SC30采纳,获得10
11秒前
Christina发布了新的文献求助10
11秒前
madison发布了新的文献求助10
11秒前
11秒前
夜无霜666完成签到,获得积分10
12秒前
12秒前
深情安青应助whitexue采纳,获得30
12秒前
xxxgggppp发布了新的文献求助10
12秒前
smottom应助独特烙采纳,获得10
13秒前
所所应助波浪蔬菜卷儿采纳,获得10
13秒前
CipherSage应助星河采纳,获得10
13秒前
yhw发布了新的文献求助10
13秒前
dabriaolga完成签到,获得积分10
14秒前
漂亮糖豆发布了新的文献求助10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Psychology and Work Today 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Kinesiophobia : a new view of chronic pain behavior 600
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5896794
求助须知:如何正确求助?哪些是违规求助? 6712742
关于积分的说明 15735545
捐赠科研通 5019366
什么是DOI,文献DOI怎么找? 2702965
邀请新用户注册赠送积分活动 1649778
关于科研通互助平台的介绍 1598742