Dataset Information

[The "hot" thyroid gland carcinoma and a critical look at thermal ablation].

ABSTRACT: Hot and hyperfunctioning thyroid gland nodules are currently treated primarily by radioiodine or surgical resection. In recent years local thermal ablation as an alternative therapeutic modality is increasingly recommended. This article reports the case of a patient with a hot thyroid nodule, which was resected and turned out to be follicular thyroid cancer. In this context it appears to be necessary to critically question thermal ablation as an alternative treatment option for thyroid nodules, particularly since the current recommendations are weak with low or even very low evidence. Radioiodine or surgery remains the first-line treatment for hot and hyperfunctioning thyroid nodules but malignancy in a hot thyroid nodule also needs to be considered.

SUBMITTER: Jahne J

PROVIDER: S-EPMC7511143 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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[The "hot" thyroid gland carcinoma and a critical look at thermal ablation].

Jähne Joachim J Niesen Andreas A Bernhardts Joachim J Hillemans Marija M

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen 20210101 1

Hot and hyperfunctioning thyroid gland nodules are currently treated primarily by radioiodine or surgical resection. In recent years local thermal ablation as an alternative therapeutic modality is increasingly recommended. This article reports the case of a patient with a hot thyroid nodule, which was resected and turned out to be follicular thyroid cancer. In this context it appears to be necessary to critically question thermal ablation as an alternative treatment option for thyroid nodules, ...[more]

PMID: 32968827

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Project description:IntroductionThe detection rate of benign thyroid nodules is increasing every year, with some affected patients experiencing symptoms. Ultrasound-guided thermal ablation can reduce the volume of nodules to alleviate symptoms. As the degree and speed of lesion absorption vary greatly between individuals, an effective model to predict curative effect after ablation is lacking. This study aims to predict the efficacy of ultrasound-guided thermal ablation for benign thyroid nodules using machine learning and explain the characteristics affecting the nodule volume reduction ratio (VRR).DesignProspective study.PatientsThe clinical and ultrasonic characteristics of patients who underwent ultrasound-guided thermal ablation of benign thyroid nodules at our hospital between January 2020 and January 2023 were recorded.MeasurementsSix machine learning models (logistic regression, support vector machine, decision tree, random forest, eXtreme Gradient Boosting [XGBoost], and Light Gradient Boosting Machine [LGBM]) were constructed to predict efficacy; the effectiveness of each model was evaluated, and the optimal model selected. SHapley Additive exPlanations (SHAP) was used to visualize the decision process of the optimal model and analyze the characteristics affecting the VRR.ResultsIn total, 518 benign thyroid nodules were included: 356 in the satisfactory group (VRR ≥70% 1 year after operation) and 162 in the unsatisfactory group. The optimal XGBoost model predicted satisfactory efficacy with 78.9% accuracy, 88.8% precision, 79.8% recall rate, an F1 value of 0.84 F1, and an area under the curve of 0.86. The top five characteristics that affected VRRs were the proportion of solid components < 20%, initial nodule volume, blood flow score, peripheral blood flow pattern, and proportion of solid components 50-80%.ConclusionsThe models, based on interpretable machine learning, predicted the VRR after thermal ablation for benign thyroid nodules, which provided a reference for preoperative treatment decisions.

Dataset Information

[The "hot" thyroid gland carcinoma and a critical look at thermal ablation].

Publications

[The "hot" thyroid gland carcinoma and a critical look at thermal ablation].

Similar Datasets

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