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1.
Curr Med Imaging ; 18(13): 1369-1377, 2022.
Article in English | MEDLINE | ID: mdl-35466880

ABSTRACT

AIMS: The purpose of this paper is to prospectively evaluate the performance of an artificial intelligence (AI) system in diagnosing thyroid nodules and to assess its potential value in comparison with the performance of radiologists with different levels of experience, as well as the factors affecting its diagnostic accuracy. BACKGROUND: In recent years, medical imaging diagnosis using AI has become a popular topic in clinical application research. OBJECTIVE: This study aimed to evaluate the performance of an AI system in diagnosing thyroid nodules and compare it with the performance levels of different radiologists. METHODS: This study involved 426 patients screened for thyroid nodules at the First Affiliated Hospital of Guangzhou Medical University between July 2017 and March 2019. All of the nodules were evaluated by radiologists with various levels of experience and an AI system. The diagnostic performances of two junior and two senior radiologists, an AI system, and an AI-assisted junior radiologist were compared, as were their diagnostic results with respect to nodules of different sizes. RESULTS: The senior radiologists, the AI system, and the AI-assisted junior radiologist performed better than the junior radiologist (p < 0.05). The area under the curves of the AI system and the AI-assisted junior radiologist were similar to the curve of the senior radiologists (p > 0.05). The diagnostic results concerning the two nodule sizes showed that the diagnostic error rates of the AI system, junior radiologists, and senior radiologists for nodules with a maximum diameter of ≤1 cm (Dmax ≤ 1 cm) were higher than those for nodules with a maximum diameter of 1 cm (Dmax > 1 cm) (23.4% vs. 12.1%, p = 0.002; 26.6% vs. 7.3%, p < 0.001; and 38.3% vs. 14.6%, p < 0.001). CONCLUSION: The AI system is a decision-making tool that could potentially improve the diagnostic efficiency of junior radiologists. Micronodules with Dmax ≤ 1cm were significantly correlated with diagnostic accuracy; accordingly, more micronodules of this size, in particular, should be added to the AI system as training samples. Other: The system could be a potential decision-making tool for effectively improving the diagnostic efficiency of junior radiologists in the community.


Subject(s)
Thyroid Nodule , Humans , Thyroid Nodule/diagnostic imaging , Artificial Intelligence , ROC Curve , Ultrasonography/methods , Radiologists
2.
Chinese Journal of Stomatology ; (12): 494-497, 2006.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-354333

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the expression of the T cell-specific transcription factors T-bet/GATA-3 in recurrent aphthous ulcerations (RAU).</p><p><b>METHODS</b>Peripheral blood mononuclear cells (PBMC) were isolated by density gradient centrifugation from RAU patients and healthy controls. Expressions of T-bet and GATA-3 mRNA and protein in the PBMCs were detected by reverse transcription-polymerase chain reaction (RT-PCR) and Western blot respectively. The concentrations of gamma-interferon (gamma-IFN) and interleukin-4 (IL-4) in the serum were determined by enzyme-linked immunosorbent assay (ELISA).</p><p><b>RESULTS</b>The expressions of T-bet mRNA were 0.73 +/- 0.14 in the control group and 0.12 +/- 0.04 in the recurrent aphthous ulcerations group, the levels of T-bet protein expressions were 0.73 +/- 0.18 in the control group and 0.24 +/- 0.09 in the recurrent aphthous ulcerations group, there was a significant difference between the two groups (P < 0.01). The levels of GATA-3 mRNA expressions were 0.89 +/- 0.11 in the control group and 1.30 +/- 0.13 in the recurrent aphthous ulcerations group; GATA-3 protein expressions were 1.09 +/- 0.16 in the control group and 1.80 +/- 0.16 in the recurrent aphthous ulcerations group, there was a significant difference between the two groups (P < 0.01). In the control group, the concentration of gamma-interferon in the serum was (22.15 +/- 1.52) ng/L, which was significantly elevated compared with that in the recurrent aphthous ulcerations group (16.32 +/- 0.22) ng/L (P < 0.01), in the control group, the concentration of IL-4 in the serum was (25.58 +/- 2.59) ng/L, which was significantly lower than that of the recurrent aphthous ulcerations group (43.60 +/- 3.15) ng/L (P < 0.01). The ratio of gamma-IFN and IL-4 was positively correlated with the ratio of T-bet and GATA-3 mRNA and protein expression (r = 0.96, 0.94, P < 0.01).</p><p><b>CONCLUSIONS</b>Imbalance of transcription factors T-bet and GATA-3 may be one of the key factors in immune dysregulation of recurrent aphthous ulcerations.</p>


Subject(s)
Adolescent , Adult , Female , Humans , Male , Middle Aged , Young Adult , GATA3 Transcription Factor , Genetics , Metabolism , Gene Expression Regulation , RNA, Messenger , Genetics , Metabolism , Stomatitis, Aphthous , Metabolism , T-Box Domain Proteins , Genetics , Metabolism , T-Lymphocytes , Metabolism
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