Estimation of the Fractal Dimension of Thyroid Nodules as a Complementary Diagnostic Tool for Predicting Malignancy

Philippe Lothaire; Pierrick Uzureau; Karim Zouaoui Boudjeltia; Nathalie Nagy; Carine Michiels; Timoteo Carletti

doi:10.26502/jcsct.5079141

Estimation of the Fractal Dimension of Thyroid Nodules as a Complementary Diagnostic Tool for Predicting Malignancy

Philippe Lothaire, Pierrick Uzureau, Karim Zouaoui Boudjeltia, Nathalie Nagy, Carine Michiels, Timoteo Carletti

Research output: Contribution to journal › Article › peer-review

Abstract

Ultrasound-guided fine-needle aspiration is the most sensitive investigation procedure in the evaluation of patients with thyroid nodules; however, despite the level of achieved precision, it is still impossible to preoperatively discriminate between follicular adenomas and carcinomas. Thus, no current detection tool of thyroid nodule has both high sensitivity and high positive predictive value for the diagnosis of thyroid cancer. Ultrasound images provide information that are currently missed due to visual interpretation, including the roughness of the echotexture. However, such information can be retrieved using the measurement of the fractal dimension (FD).

Original language	English
Journal	Journal of Cancer Science and Clinical Therapeutics
Volume	6
Issue number	1
DOIs	https://doi.org/10.26502/jcsct.5079141
Publication status	Published - 2022

Keywords

fractal dimension
thyroid cancer diagnosis
Cancer
Image analysis
Thyroid nodules
Ultrasonography

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.26502/jcsct.5079141

https://www.fortunejournals.com/articles/estimation-of-the-fractal-dimension-of-thyroid-nodules-as-a-complementary-diagnostic-tool-for-predicting-malignancy.html

Cite this

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title = "Estimation of the Fractal Dimension of Thyroid Nodules as a Complementary Diagnostic Tool for Predicting Malignancy",

abstract = "Ultrasound-guided fine-needle aspiration is the most sensitive investigation procedure in the evaluation of patients with thyroid nodules; however, despite the level of achieved precision, it is still impossible to preoperatively discriminate between follicular adenomas and carcinomas. Thus, no current detection tool of thyroid nodule has both high sensitivity and high positive predictive value for the diagnosis of thyroid cancer. Ultrasound images provide information that are currently missed due to visual interpretation, including the roughness of the echotexture. However, such information can be retrieved using the measurement of the fractal dimension (FD).",

keywords = "fractal dimension, thyroid cancer diagnosis, Cancer, Image analysis, Thyroid nodules, Ultrasonography",

author = "Philippe Lothaire and Pierrick Uzureau and {Zouaoui Boudjeltia}, Karim and Nathalie Nagy and Carine Michiels and Timoteo Carletti",

year = "2022",

doi = "10.26502/jcsct.5079141",

language = "English",

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journal = "Journal of Cancer Science and Clinical Therapeutics",

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T1 - Estimation of the Fractal Dimension of Thyroid Nodules as a Complementary Diagnostic Tool for Predicting Malignancy

AU - Lothaire, Philippe

AU - Uzureau, Pierrick

AU - Zouaoui Boudjeltia, Karim

AU - Nagy, Nathalie

AU - Michiels, Carine

AU - Carletti, Timoteo

PY - 2022

Y1 - 2022

N2 - Ultrasound-guided fine-needle aspiration is the most sensitive investigation procedure in the evaluation of patients with thyroid nodules; however, despite the level of achieved precision, it is still impossible to preoperatively discriminate between follicular adenomas and carcinomas. Thus, no current detection tool of thyroid nodule has both high sensitivity and high positive predictive value for the diagnosis of thyroid cancer. Ultrasound images provide information that are currently missed due to visual interpretation, including the roughness of the echotexture. However, such information can be retrieved using the measurement of the fractal dimension (FD).

AB - Ultrasound-guided fine-needle aspiration is the most sensitive investigation procedure in the evaluation of patients with thyroid nodules; however, despite the level of achieved precision, it is still impossible to preoperatively discriminate between follicular adenomas and carcinomas. Thus, no current detection tool of thyroid nodule has both high sensitivity and high positive predictive value for the diagnosis of thyroid cancer. Ultrasound images provide information that are currently missed due to visual interpretation, including the roughness of the echotexture. However, such information can be retrieved using the measurement of the fractal dimension (FD).

KW - fractal dimension

KW - thyroid cancer diagnosis

KW - Cancer

KW - Image analysis

KW - Thyroid nodules

KW - Ultrasonography

U2 - 10.26502/jcsct.5079141

DO - 10.26502/jcsct.5079141

M3 - Article

SN - 2637-5079

VL - 6

JO - Journal of Cancer Science and Clinical Therapeutics

JF - Journal of Cancer Science and Clinical Therapeutics

IS - 1

ER -

Estimation of the Fractal Dimension of Thyroid Nodules as a Complementary Diagnostic Tool for Predicting Malignancy

Abstract

Keywords

UN SDGs

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