Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Characterization of the antioxidant fraction of Trapa japonica pericarp and its hepatic protective effects in vitro and in vivo.

Food & function·2016

Same author

Epigallocatechin-3-gallate ameliorates autoimmune arthritis by reciprocal regulation of T helper-17 regulatory T cells and inhibition of osteoclastogenesis by inhibiting STAT3 signaling.

Journal of leukocyte biology·2016

Same author

Risk of Thyroid Cancer in Euthyroid Asymptomatic Patients with Thyroid Nodules with an Emphasis on Family History of Thyroid Cancer.

Korean journal of radiology·2016

Same author

Asymptomatic Benign Papilloma Without Atypia Diagnosed at Ultrasonography-Guided 14-Gauge Core Needle Biopsy: Which Subgroup can be Managed by Observation?

Annals of surgical oncology·2016

Same author

Value of additional von Kossa staining in thyroid nodules with echogenic spots on ultrasound.

Pathology, research and practice·2016

Same author

Association between Bethesda Categories and Ultrasound Features of Conventional Papillary Thyroid Carcinoma.

Ultrasound in medicine & biology·2016

Search research articles

Related Experiment Video

Updated: Dec 16, 2025

$Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy$

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

Quantitative Evaluation for Differentiating Malignant and Benign Thyroid Nodules Using Histogram Analysis of

Se Jin Nam¹, Jaeheung Yoo², Hye Sun Lee³

¹Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.

Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine

|March 13, 2016

Summary

Grayscale histogram analysis of thyroid nodules is feasible but less accurate than radiologist interpretation for distinguishing malignant from benign cases. Further advancements are needed for objective sonogram analysis.

Keywords:

head and neck ultrasound histogram analysis sonography thyroid cancer thyroid gland

More Related Videos

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

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

Related Experiment Videos

Last Updated: Dec 16, 2025

$Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy$

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

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

Area of Science:

Radiology and Imaging
Oncology
Medical Informatics

Background:

Thyroid nodules are common, and differentiating benign from malignant types is crucial for patient management.
Subjective interpretation of grayscale sonograms can be variable.
Quantitative histogram analysis offers a potential objective method for nodule characterization.

Purpose of the Study:

To assess the diagnostic utility of grayscale histogram analysis in differentiating malignant and benign thyroid nodules.
To compare the performance of histogram parameters and a derived index against subjective radiologist assessment.

Main Methods:

Retrospective analysis of 579 thyroid nodules from 563 patients undergoing ultrasound-guided fine-needle aspiration.
Grayscale histogram analysis using in-house software to measure pixel echogenicity, extracting parameters: mean, skewness, kurtosis, standard deviation, and entropy.
Principal Component Analysis (PCA) was used to derive a diagnostic index; performance was evaluated using Area Under the Curve (AUC).

Main Results:

Significant differences were observed between malignant and benign nodules for standard deviation, kurtosis, entropy, and the PCA index (P < .001 for all).
AUC values for histogram parameters ranged from 0.606 (skewness) to 0.681 (standard deviation).
Subjective analysis by radiologists alone achieved a significantly higher AUC of 0.861.

Conclusions:

Grayscale histogram analysis is a feasible technique for thyroid nodule characterization.
However, it did not outperform subjective radiologist interpretation in diagnostic accuracy.
Further technological development is required to enhance the objectivity and efficacy of sonogram interpretation.