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 journalArticlepeer-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 languageEnglish
JournalJournal of Cancer Science and Clinical Therapeutics
Volume6
Issue number1
DOIs
Publication statusPublished - 2022

Keywords

  • fractal dimension
  • thyroid cancer diagnosis
  • Cancer
  • Image analysis
  • Thyroid nodules
  • Ultrasonography

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