Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project

被引：25

作者：

Elgaaied, Amel Benammar ^{[1
]}

Cascio, Donato ^{[2
]}

Bruno, Salvatore ^{[2
]}

Ciaccio, Maria Cristina ^{[2
]}

Cipolla, Marco ^{[2
]}

Fauci, Alessandro ^{[2
]}

Morgante, Rossella ^{[2
]}

Taormina, Vincenzo ^{[2
]}

Gorgi, Yousr ^{[3
]}

Triki, Raja Marrakchi ^{[1
]}

Ben Ahmed, Melika ^{[4
]}

Louzir, Hechmi ^{[4
]}

Yalaoui, Sadok ^{[5
]}

Imene, Sfar ^{[3
]}

Issaoui, Yassine ^{[1
]}

Abidi, Ahmed ^{[1
]}

Ammar, Myriam ^{[1
]}

Bedhiafi, Walid ^{[1
]}

Ben Fraj, Oussama ^{[1
]}

Bouhaha, Rym ^{[1
]}

Hamdi, Khouloud ^{[1
]}

Soumaya, Koudhi ^{[1
]}

Neili, Bilel ^{[1
]}

Asma, Gati ^{[1
]}

Lucchese, Mariano ^{[6
]}

Catanzaro, Maria ^{[6
]}

Barbara, Vincenza ^{[6
]}

Brusca, Ignazio ^{[7
]}

Fregapane, Maria ^{[7
]}

Amato, Gaetano ^{[8
]}

Friscia, Giuseppe ^{[9
]}

Neila, Trai ^{[3
]}

Turkia, Souayeh ^{[3
]}

Youssra, Haouami ^{[3
]}

Rekik, Raja ^{[4
]}

Bouokez, Hayet ^{[5
]}

Simone, Maria Vasile ^{[10
]}

Fauci, Francesco ^{[10
]}

Raso, Giuseppe ^{[2
]}

机构：

[1] Univ Tunis El Manar, Fac Sci, Tunis 1088, Tunisia

[2] Univ Palermo, Dipartimento Fis & Chim, I-90128 Palermo, Italy

[3] Hop Charles Nicolle, Tunis 1006, Tunisia

[4] Inst Pasteur, Tunis 1002, Tunisia

[5] Hop Ariana, Tunis 2080, Tunisia

[6] Osped S Antonio Abate, I-91016 Trapani, Italy

[7] Osped Buccheri Ferla Fatebenefratelli, I-90123 Palermo, Italy

[8] Osped Civ, I-90121 Palermo, Italy

[9] Osped Sciacca, I-92019 Agrigento, Italy

[10] CyclopusCAD Srl, I-90128 Palermo, Italy

来源：

BIOMED RESEARCH INTERNATIONAL | 2016年 / 2016卷

关键词：

ANTINUCLEAR; AUTOANTIBODIES; IMAGES;

D O I：

10.1155/2016/2073076

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD(Computer Aided Detection) solution and for the assessment of its added value, in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher Patterns Accuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%).

引用

页数：9

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