Retrospective Analysis by Multifactor Regression in the Evaluation of the Results of Fine-needle Aspiration Biopsy of Thyroid Nodules

被引：0
|
作者：
Kucher, Askold [1 ]
Boyko, Oksana [1 ]
Ilkanych, Kateryna [1 ]
Fechan, Andriy [1 ,2 ]
Shakhovska, Natalya [2 ]
机构：
[1] Danylo Halytsky Lviv Natl Med Univ, 69 Pekarska Str, UA-79010 Lvov, Ukraine
[2] Lviv Polytech Natl Univ, 12 Bandera Str, UA-79013 Lvov, Ukraine
来源：
IDDM 2020: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INFORMATICS & DATA-DRIVEN MEDICINE | 2020年 / 2753卷
关键词：
thyroid nodules; TI-RADS; fine-needle aspiration biopsy; multifactor regression;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A retrospective study of the results of the examination of 160 patients who underwent fine-needle aspiration biopsy of thyroid nodules has been conducted. Possibilities of using the TI-RADS (Thyroid Imaging Reporting and Data System) scale as a standardized USG thyroid examination protocol have been considered. Combinations of indicators (sex, age, ultrasound characteristics) were analyzed with the help of multifactor regression in order to recommend the thyroid fine-needle aspiration biopsy. Measures to increase the ultrasound database, which will allow further use of neural networks for their analysis, have been developed.
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页数：5
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