[
    {
        "id": "osp-3423",
        "type": "article-journal",
        "title": "Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results",
        "author": [
            {
                "family": "Alsibani",
                "given": "Ahmed"
            },
            {
                "family": "Alessa",
                "given": "Mohammed"
            },
            {
                "family": "Alwadi",
                "given": "Fahad A"
            },
            {
                "family": "Alotaibi",
                "given": "Shams Marzouq"
            },
            {
                "family": "Alfaleh",
                "given": "Hana"
            },
            {
                "family": "Moshibah",
                "given": "Ali M."
            },
            {
                "family": "Alqahtani",
                "given": "Abdullah M."
            },
            {
                "family": "Alqahtani",
                "given": "Abdulwahed"
            },
            {
                "family": "Almayouf",
                "given": "Mohammad"
            },
            {
                "family": "Aldhahri",
                "given": "Saleh"
            },
            {
                "family": "Al-Qahtani",
                "given": "Khalid Hussain"
            }
        ],
        "URL": "https://omanscience.com/ar/articles/evaluation-of-acr-ti-rads-for-predicting-malignancy-in-thyroid-nodules-insights-from-fine-needle-aspiration-cytology-and-histopathology-results",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2024
                ]
            ]
        },
        "container-title": "Journal of the Oman Medical Association",
        "volume": "1",
        "issue": "1",
        "page": "61-68",
        "DOI": "10.3390/joma1010007",
        "publisher": "MDPI",
        "abstract": "The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) stratifies patients with thyroid nodules for further evaluation. We evaluated the accuracy of this risk stratification and compared it with that of fine-needle aspiration cytology (FNAC) and final pathology. The nodules (n = 381) of 329 patients (mean age, 45.5 y; 251 female) who underwent thyroid surgery from January 2021 to September 2023 were retrospectively analyzed for the ACR TI-RADS, FNAC, and final pathology results. The nodules were categorized according to risk of malignancy as 75.9% ACR TI-RADS 5, 72.6% ACR TI-RADS 4, 38.9% ACR TI-RADS 3, and 33.3% ACR TI-RADS 2. Considering ACR TI-RADS 5 and 4 as high-risk categories, the sensitivity, specificity, positive-predictive value, and negative-predictive value of the ACR TI-RADS categories were 77.9%, 57.3%, 73.8%, and 62.8%, respectively. With both ACR TI-RADS and FNAC high-risk categories combined, the sensitivity and specificity improved to 82.4% and 58.6%, respectively. The ACR TI-RADS score effectively predicts malignancy in higher-risk categories; however, some malignant cases were found within lower-risk categories, implying the need for careful utilization of this system. Combining high-risk ACR TI-RADS and FNAC results improves the diagnostic accuracy of thyroid nodules. Confirmation from further prospective studies is required."
    }
]