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Journal of Research in Medical Sciences، جلد ۱۸، شماره ۷، صفحات ۵۵۳-۰
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عنوان انگلیسی Artificial neural network analysis for evaluating cancer risk in multinodular goiter
چکیده انگلیسی مقاله Normal 0 false false false EN-US X-NONE AR-SA Background: The aim of this study was to create a diagnostic model using the artificial neural networks (ANNs) to predict malignancy in multinodular goiter patients with an indeterminate cytology. Materials and Methods: Out of 623 patients, 411 evaluated for multinodular goiter between July 2004 and March 2010 had a fine‑needle aspiration biopsy. All patients underwent total thyroidectomy. The interpretation was consistent with an indeterminate lesion in 116 (18.6%) patients. Patient’s medical records including age, sex, dominant nodule size, pre‑operative serum thyroid‑stimulating hormone level, thyroid hormone therapy and final pathologic diagnosis were collected retrospectively Results: The mean age of the patients was 44.6 years (range, 17–78 years). About 104 (89.7%) were female and 12 (10.3%) were male patients. Final pathology revealed 24 malignant diseases (20.7%) and 92 (79.3%) benign diseases. After the completion of training, the ANN model was able to predict diagnosis of malignancy with a high degree of accuracy. The AUC of ANNs was 0.824. Conclusion: The ANNs technique is a useful aid in diagnosing malignancy and may help reduce unnecessary thyroidectomies in multinodular goiter patients with an indeterminate cytology. Further studies are needed to construct the optimal diagnostic model and to apply it in the clinical practice.
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نویسندگان مقاله barä±åÿ saylam | barä±åÿ saylam
department of surgery, ankara numune training and research hospital, ankara, turkey


مهمت keåÿkek | mehmet keåÿkek
department of surgery, ankara numune training and research hospital, ankara, turkey


sã¶nmez ocak | sã¶nmez ocak
department of surgery, ankara numune training and research hospital, ankara, turkey


علی عثمان akten | ali osman akten
department of surgery, ankara numune training and research hospital, ankara, turkey


مسعود tez | mesut tez
department of surgery, ankara numune training and research hospital, ankara, turkey
نشانی اینترنتی http://jrms.mui.ac.ir/index.php/jrms/article/view/9299
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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