The Accuracy of risk stratification system for classifying thyroid nodules in FEU-NRMF Medical Center / Aloysius Ebi Ligha and Rodney B. Pidlaoan.

By:

Ligha, Aloysius Ebi, MD [primary investigator]

Contributor(s):

Pidlaoan, Rodney B., MD [co-investigator]

Publication details: Fairview, Quezon City Department of Radiology, FEU-NRMF, 2018Description: 31 pages. (in folder) + CD (soft copy)Content type:

text

Media type:

unmediated

Carrier type:

volume

LOC classification:

RAD20180002

Summary: ABSTRACT: Thyroid Image Reporting and Data System (TIRADS) is a risk stratification system, recently recognized in an American College of Radiology (ACR) white paper. However there is paucity of data been reported regarding the use of TIRADS in our local setting. Although foreign studies have been done regarding TIRADS, it is important to validate it against local data to determine its applicability and usability in our local institution so as to avoid unnecessary biopsy. The aim of this study is to determine the accuracy of thyroid imaging reporting and data system in detecting thyroid malignancy in comparison to Fine needle aspiration biopsy report and also to determine the sensitivity and specificity of the ultrasound features in the prediction of malignant nodule.

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Item type	Current library	Call number	Status	Notes	Date due	Barcode
Research	Far Eastern University - Nicanor Reyes Medical Foundation Research	RAD20180002 (Browse shelf(Opens below))	Available	with CD		R000912

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Includes CD (soft copy).

Includes appendices and bibliographical references.

ABSTRACT: Thyroid Image Reporting and Data System (TIRADS) is a risk stratification system, recently recognized in an American College of Radiology (ACR) white paper. However there is paucity of data been reported regarding the use of TIRADS in our local setting. Although foreign studies have been done regarding TIRADS, it is important to validate it against local data to determine its applicability and usability in our local institution so as to avoid unnecessary biopsy. The aim of this study is to determine the accuracy of thyroid imaging reporting and data system in detecting thyroid malignancy in comparison to Fine needle aspiration biopsy report and also to determine the sensitivity and specificity of the ultrasound features in the prediction of malignant nodule.

Research - Department of Radiology

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