Development and validation of a multi-parametric energy density optimization algorithm for microwave ablation of benign thyroid nodules: a retrospective cohort study

Personalized energy density calculation based on patient-specific factors has the potential to significantly improve MWA outcomes for benign thyroid nodules. This algorithmic approach enables precision treatment planning and optimal patient selection.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2026-02-13
DOI
https://doi.org/10.3389/fendo.2026.1746874
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a multi-parametric energy density optimization algorithm for microwave ablation of benign thyroid nodules: a retrospective cohort study

Xuejing Zhang, Mingfeng Mao, H Sun, Ling Lin
Frontiers in Endocrinology
Thyroid Cancer Diagnosis and Treatment
article

Development and validation of a multi-parametric energy density optimization algorithm for microwave ablation of benign thyroid nodules: a retrospective cohort study

Xuejing Zhang, Mingfeng Mao, H Sun, Ling Lin
article en

Abstract

Personalized energy density calculation based on patient-specific factors has the potential to significantly improve MWA outcomes for benign thyroid nodules. This algorithmic approach enables precision treatment planning and optimal patient selection.

Frontiers in EndocrinologyVol. 17
Huazhong University of Science and Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 58%
Thyroid Cancer Diagnosis and Treatment
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