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Artifi cial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis

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World Journal of Gastroenterology 2008年第4期14卷 563-568页

作者： Edith Lahner Marco Intraligi Massimo Buscema Marco Centanni Lucy Vannella Enzo Grossi Bruno Annibale Department of Digestive and Liver Disease University "La Sapienza"2nd Medical SchoolOspedale Sant'AndreaRomeItaly Semeion Research Center Rome Italy Endocrinology Unit Department of Experimental Medicine and PathologyUniversity "La Sapienza"Polo PontinoLatinaItaly Bracco Imaging Spa MilanItaly

AIM: To investigate the role of artifi cial neural networks in predicting the presence of thyroid disease in atrophic body gastritis patients. METHODS: A dataset of 29 input variables of 253 atrophic body gastritis patients was applied to artifi cial neural networks (ANNs) using a data optimisation procedure (standard ANNs,T&T-IS protocol,TWIST protocol). The target variable was the presence of thyroid disease. RESULTS: Standard ANNs obtained a mean accuracy of 64.4% with a sensitivity of 69% and a specifi city of 59.8% in recognizing atrophic body gastritis patients with thyroid disease. The optimization procedures (T&T-IS and TWIST protocol) improved the performance of the recognition task yielding a mean accuracy,sensitivity and specifi city of 74.7% and 75.8%,78.8% and 81.8%,and 70.5% and 69.9%,respectively. The increase of sensitivity of the TWIST protocol was statistically signifi cant compared to T&T-IS. CONCLUSION: This study suggests that artificial neural networks may be taken into consideration as a potential clinical decision-support tool for identifying ABG patients at risk for harbouring an unknown thyroid disease and thus requiring diagnostic work-up of their thyroid status.

关键词： atrophic body gastritis Thyroid disease Artificial neural networks

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Lack of specific association between gastric autoimmunity hallmarks and clinical presentations of atrophic body gastritis

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World Journal of Gastroenterology 2005年第34期11卷 5351-5357页

作者： Bruno Annibale Edith Lahner Riccardo Negrini Flavia Baccini Cesare Bordi Bruno Monarca Gianfranco Delle Fave Department of Digestive and Liver Disease II School of Medicine University "La Sapienza" Sant'Andrea Hospital Rome Italy Microbiology Department Spedali Civili Brescia Italy Pathology Department University of Parma Parma Italy Hematology Department University "La Sapienza" Sant'Andrea Hospital Rome Italy

AIM： To investigate the possible relationships between gastric autoimmune phenomena and clinical presentations of this disorder, in consecutive atrophic body gastritis patients. METHODS： A total of 140 atrophic body gastritis patients, diagnosed as consecutive outpatients presenting with macrocytic or iron deficiency anemia, or longstanding dyspepsia underwent gastroscopy with antral and body biopsies, assay of intrinsic factor, parietal cells and Helicobacter pylori （ H pylon） antibodies. gastritis was assessed according to Sydney System. RESULTS： Parietal cell antibodies were equally distributed in all clinical presentations, whereas the positivity of intrinsic factor antibodies （49/140, 35%） was significantly higher in pernicious anemia patients （49.2%） than in iron deficiency （21.1%） and dyspeptic patients （27.8%）. No specific pattern of autoantibodies was related to the clinical presentations of atrophic body gastritis. A positive correlation was obtained between the body atrophy score and the intrinsic factor antibody levels （r=0.2216, P=0.0085）. Associated autoimmune diseases were present in 25/140 （17.9%） patients, but the prevalence of autoimmune diseases was comparable, irrespective of the clinical presentations. CONCLUSION： The so-called hallmarks of gastric autoimmunity, particularly in intrinsic factor antibody cannot be usefully employed in defining an autoimmune pattern in the clinical presentations of ABG.

关键词： atrophic body gastritis Intrinsic factor antibodies Helicobacter pylort, Iron deficiency anemia Pernicious anemia

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Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis

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World Journal of Gastroenterology 2005年第37期11卷 5867-5873页

作者： Edith Lahner Enzo Grossi Marco Intraligi Massimo Buscema Vito D Corleto Gianfranco Delle Fave Bruno Annibale Digestive and Liver Disease Unit Ⅱ Medical School Sant' Andrea Hospital University"La Sapienza" Rome Italy Enzo Grossi Bracco Imaging Spa Milan Italy Semeion Research Center Rome Italy

AIM: To investigate whether ANNs and LDA could recognize patients with ABG in a database, containing only clinical and biochemical variables, of a pool of patients with and without ABG, by selecting the most predictive variables and by reducing input data to the ***: Data was collected from 350 consecutive outpatients (263 with ABG, 87 with non-atrophic gastritis and/or celiac disease [controls]). Structured questionnaires with 22 items (anagraphic, anamnestic, clinical, and biochemical data) were filled out for each patient. All patients underwent gastroscopy with biopsies. ANNs and LDA were applied to recognize patients with *** 1: random selection on 37 variables, experiment 2: optimization process on 30 variables, experiment 3:input data reduction on 8 variables, experiment 4: use of only clinical input data on 5 variables, and experiment 5:use of only serological ***: In experiment 1, overall accuracies of ANNs and LDA were 96.6% and 94.6%, respectively, for predicting patients with ABG. In experiment 2, ANNs and LDA reached an overall accuracy of 98.8% and 96.8%,respectively. In experiment 3, overall accuracy of ANNs was 98.4%. In experiment 4, overall accuracies of ANNs and LDA were, respectively, 91.3% and 88.6%. In experiment 5, overall accuracies of ANNs and LDA were,respectively, 97.7% and 94.5%.CONCLUSION: This preliminary study suggests that advanced statistical methods, not only ANNs, but also LDA,may contribute to better address bioptic sampling during gastroscopy in a subset of patients in whom ABG may be suspected on the basis of aspecific gastrointestinal symptoms or non-digestive disorders.

关键词： atrophic body gastritis Computer-based decision support Gastroscopy Artificial neural networks

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