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Sensitivity, Specificity, and Predicted Value

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...

The Thyroid Gland

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The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
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Related Experiment Video

Updated: Jun 15, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Positive predictive values of sonographic features of solid thyroid nodule.

Yoo Jin Hong¹, Eun Ju Son, Eun-Kyung Kim

¹Department of Diagnostic Radiology, The Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea.

Clinical Imaging

|March 2, 2010

Summary

The study found that specific ultrasound features like microcalcifications, marked hypoechogenicity, and a taller-than-wide shape are significant indicators of thyroid cancer. A taller-than-wide shape was the most reliable sonographic feature for predicting malignancy.

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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Published on: April 21, 2023

Synchronous Triplanar Reconstruction Integrated with Color Doppler Mapping for Precise and Rapid Localization of Thyroid Lesions

Synchronous Triplanar Reconstruction Integrated with Color Doppler Mapping for Precise and Rapid Localization of Thyroid Lesions

Published on: February 9, 2024

Area of Science:

Radiology
Oncology
Diagnostic Imaging

Background:

Thyroid nodules are common, and distinguishing benign from malignant ones is crucial.
Sonography is a primary imaging modality for evaluating thyroid nodules.
Accurate prediction of malignancy reduces the need for unnecessary biopsies.

Purpose of the Study:

To evaluate the positive predictive value of specific suspicious sonographic features in solid thyroid nodules.
To determine which sonographic characteristics are most indicative of malignancy.

Main Methods:

Analysis of 530 solid thyroid nodules with fine needle aspiration biopsy.
Classification of nodules based on four sonographic features: microcalcifications, irregular margins, marked hypoechogenicity, and taller-than-wide shape.
Calculation of sensitivity, specificity, and positive predictive value for each feature.

Main Results:

Malignancy was confirmed in 18.3% of nodules.
Positive predictive values for malignancy: microcalcifications (38.6%), irregular margins (28.2%), marked hypoechogenicity (49.4%), and taller-than-wide shape (59.8%).
The taller-than-wide shape demonstrated the highest positive predictive value and relative risk for malignancy.

Conclusions:

Microcalcifications, marked hypoechogenicity, and taller-than-wide shape are significant sonographic indicators of thyroid malignancy.
The taller-than-wide shape is the most reliable sonographic feature for predicting thyroid cancer.