The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
An Ultrasonogram Reporting System for Thyroid Nodules Stratifying Cancer Risk for Clinical Management
Abstract
Context: There is a high prevalence of thyroid nodules on ultrasonographic (US) examination. However, most of them are benign. US criteria may help to decide cost-effective management. Objective: Our objective was to develop a standardized US characterization and reporting data system of thyroid lesions for clinical management: the Thyroid Imaging Reporting and Data System (TIRADS). Design: This was a prospective study using the TIRADS, which is based on the concepts of the Breast Imaging Reporting Data System of the American College of Radiology. Materials: A correlation of the US findings and fine needle aspiration biopsy (FNAB) results in 1959 lesions biopsied under US guidance and studied histologically during an 8-yr period was divided into three stages. In the first stage, 10 US patterns were defined. In the second stage, four TIRADS groups were defined according to risk. The percentages of malignancy defined in the Breast Imaging Reporting and Data System were followed: TIRADS 2 (0% malignancy), TIRADS 3 (<5% malignancy), TIRADS 4 (5–80% malignancy), and TIRADS 5 (>80% malignancy). Results: The TIRADS classification was evaluated at the third stage of the study in a sample of 1097 nodules (benign: 703; follicular lesions: 238; and carcinoma: 156). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 88, 49, 49, 88, and 94%, respectively. The ratio of benign to malignant or follicular FNAB results currently is 1.8. Conclusions: The TIRADS has allowed us to improve patient management and cost-effectiveness, avoiding unnecessary FNAB. In addition, we have established standard codes to be used both for radiologists and endocrinologists.
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Citations
Cites
Solid breast nodules: use of sonography to distinguish between benign and malignant lesions.
Stavros, A. T., Thickman, D., Rapp, C. L., Dennis, M. A., Parker, S. H., & Sisney, G. A. (1995) · Radiology · doi:10.1148/radiology.196.1.7784555 · Cited by 1,780
Papini, E., Guglielmi, R., Bianchini, A., Crescenzi, A., Taccogna, S., Nardi, F., Panunzi, C., Rinaldi, R., Toscano, V., & Pacella, C. M. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.87.5.1941 · Cited by 1,441
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Kim, E.-K., Park, C. S., Chung, W. Y., Oh, K. K., Kim, D. I., Lee, J. T., & Yoo, H. S. (2002) · American Journal of Roentgenology · doi:10.2214/ajr.178.3.1780687 · Cited by 1,055
Thyroid incidentalomas. Prevalence by palpation and ultrasonography
Ezzat, S. (1994) · Archives of Internal Medicine · doi:10.1001/archinte.154.16.1838 · Cited by 706
Nam‐Goong, I. S., Kim, H. Y., Gong, G., Lee, H. K., Hong, S. J., Kim, W. B., & Shong, Y. K. (2004) · Clinical Endocrinology · doi:10.1046/j.1365-2265.2003.01912.x · Cited by 508
Thyroid Incidentalomas: Prevalence by Palpation and Ultrasonography
Ezzat, S. (1994) · Archives of Internal Medicine · doi:10.1001/archinte.1994.00420160075010 · Cited by 454
Thyroid Nodules: Clinical Importance, Assessment, and Treatment
Gharib, H., & Papini, E. (2007) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2007.04.009 · Cited by 394
Molecular Markers in Thyroid Fine-needle Aspiration Biopsy
Franco, C., Martínez, V., Allamand, J., Medina, F., Andrea Glasinovic, P., Osorio, M., & Schächter, D. (2009) · Applied immunohistochemistry & molecular morphology · doi:10.1097/pai.0b013e31818935a9 · Cited by 59
Self-citation
Cited by
Haugen, B. R., Alexander, E. K., Bible, K. C., Doherty, G. M., Mandel, S. J., Nikiforov, Y. E., Pacini, F., Randolph, G. W., Sawka, A. M., Schlumberger, M., et al. (2016) · Thyroid® · doi:10.1089/thy.2015.0020 · Cited by 16,535
Cooper, D. S., Doherty, G. M., Haugen, B. R., Kloos, R. T., Lee, S. L., Mandel, S. J., Mazzaferri, E. L., McIver, B., Pacini, F., Schlumberger, M., et al. (2009) · Thyroid · doi:10.1089/thy.2009.0110 · Cited by 6,707
Stagnaro-Green, A., Abalovich, M., Alexander, E., Azizi, F., Mestman, J., Negro, R., Nixon, A., Pearce, E. N., Soldin, O. P., Sullivan, S., et al. (2011) · Thyroid · doi:10.1089/thy.2011.0087 · Cited by 2,942
Alexander, E. K., Pearce, E. N., Brent, G. A., Brown, R. S., Chen, H., Dosiou, C., Grobman, W. A., Laurberg, P., Lazarus, J. H., Mandel, S. J., et al. (2017) · Thyroid® · doi:10.1089/thy.2016.0457 · Cited by 2,731
Alexander, L. F., Patel, N. J., Caserta, M. P., & Robbin, M. L. (2020) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2020.07.003 · Cited by 79
Metadata
- Authors
- Horvath, E., Majlis, S., Rossi, R., Franco, C., Niedmann, J. P., Castro, A., & Dominguez, M.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2009-05-01
- Volume
- 94
- Issue
- 5
- Pages
- 1748-1751
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2140185571
- Cited by
- 1,020
- References
- 9
- FWCI
- 11.09
- Type
- journal article
- Language
- en
- Open access
- closed
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