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Image-guided thermal ablation of benign thyroid nodules.

ABSTRACT: Purpose:To clarify some relevant and significant inconsistencies and inaccuracies in review by Mainini et al. entitled "Image-guided thermal ablation of benign thyroid nodules" published in Journal of Ultrasound to avoid giving incorrect information to the reader and prevent that operators make wrong choices in the use of various devices and technologies available. Results:Total cases treated with radiofrequency would be 2388 and not 2435 as reported in Table 1 of this review. The major, minor complications, and side effects in the partial group treated with laser technique and reported in this review are actually 1.2, 3.8, and 35.4%, respectively. In series of patients treated with laser ablation, including a total of 2345 patients, major and minor complications are 0.7 and 1.4%, respectively. The major complications of laser technology are less severe than RFA. Conclusions:Several points regarding the paper by Mainini et al. need to be discussed, and I advocate authors for replying to my considerations to clarify the issues raised.

SUBMITTER: Pacella CM

PROVIDER: S-EPMC5698193 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Image-guided thermal ablation of benign thyroid nodules.

Pacella Claudio M CM

Journal of ultrasound 20171114 4

<h4>Purpose</h4>To clarify some relevant and significant inconsistencies and inaccuracies in review by Mainini et al. entitled "Image-guided thermal ablation of benign thyroid nodules" published in Journal of Ultrasound to avoid giving incorrect information to the reader and prevent that operators make wrong choices in the use of various devices and technologies available.<h4>Results</h4>Total cases treated with radiofrequency would be 2388 and not 2435 as reported in Table 1 of this review. The ...[more]

PMID: 29204241

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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

Image-guided thermal ablation of benign thyroid nodules.

Publications

Image-guided thermal ablation of benign thyroid nodules.

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