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Showing 4 results for Thyroid Nodule
Dr. K. Heck, Y. Korkusuz, C. Happel, F. Grünwald, H. Korkusuz,
Volume 14, Issue 2 (4-2016)
Abstract
Background: Local ablative treatments play an important role for patients who cannot be treated surgically. Radiofrequency ablation is a well-established alternative to surgical treatment of thyroid nodules, however it also has disadvantages. Microwave ablation (MWA) is a new minimally invasive treatment promising several improvements. The aim of this retrospective study was to evaluate the effects of microwave ablation on thyroid nodules by 99mTc-pertechnetate and 99mTc-MIBI scintigraphy. Materials and Methods: 30 patients with overall 40 nodules were treated. For the ablation of thyroid nodules, a microwave generator working with frequencies from 902 to 928 MHz was used. The ablation time ranged between 120 and 300 seconds per ablation zone. The target temperatures ranged between 60-80 °C. Pre- and post- interventional, the radionuclide uptake was determined using a thyroid specific scintillation camera. For 27 cold nodules 99mTc-MIBI was used for evaluation; 13 indifferent nodules were measured with 99mTc-pertechnetate. Results: The relative change of uptake was detected as a quotient of pre- and post- therapeutic uptake. The statistical analysis of scintigraphy data proved the efficacy of microwave ablation. 99mTc-pertechnetate scintigraphy showed an uptake reduction of 39% (range 9 to 85%). 99mTc-MIBI imaging showed a median reduction of 40% (p<0.01) (range 7 to 100%). Conclusion: The determined results show the effectiveness of MWA as a treatment option for benign thyroid nodules. With functional scintigraphy a significant activity decrease could be detected in the ablation zone; hence a verification of affectivity was possible after a short period of time.
Y. Zhou, C. Wang,
Volume 20, Issue 2 (4-2022)
Abstract
Background: Meta-analysis experiments can be used to judge the hypothesis of SMI benign and malignant thyroid nodules. Material and Methods: We explored Cochrane Library, PubMed, Google Scholar, CBM and Web of Science, databases according to the required content, and used a number of analysis equipment to analyze, and through the conclusions drawn to determine the sensitivity (Sen) and specificity (Spe), the probability ratio of pragmatic and dismissive (LR + / LR-), diagnostic factor (DOR) and receiver performance typical curve (SROC) are calculated for summary statistics. Results: The meta-analysis included nine studies that met the participation criteria. An aggregation of 636 malignant thyroid legumes and 732 benign thyroid nodules were evaluated. The comprehensive Sen was 0.79 (95% confidence interval (CI) = 0.76-0.82), and the comprehensive Spe was 0.89 (95% CI = 0.85-0.92). The comprehensive LR + was 7.04 (95% CI = 5.26-9.43), and the comprehensive negative LR- was 0.23 (95% CI = 0.20-0.27). The comprehensive DOR of thyroid nodules diagnosed by SMI was 30.33 (95% confidence interval = 20.73–44.38). The range beneath the SROC curve was 0.82 (95% confidence interval = 0.79 to 0.86). We established no proof of reporting bias (t = 0.91, P = 0.39). Conclusion: In a related meta-analysis, the study found that SMI has a very high prognosis accuracy in distinguishing malignant and benign thyroid nodules.
Ph.d., Y. He, X. Qi, X. Luo, W. Wang, H. Yang, M. Xu, X. Wu, W. Fan,
Volume 21, Issue 3 (7-2023)
Abstract
Background: To assess the use of computed tomography (CT), ultrasonography and magnetic resonance imaging (MRI) in distinguishing papillary thyroid cancer (PTC) from benign thyroid nodules. Materials and Methods: A total of 45 cases with benign thyroid nodules and 75 cases with papillary thyroid cancer were included from our hospital from March 2020 to December 2021. All patients were examined by MRI, ultrasonography and dual-energy CT. The outcomes of the two groups' MRI, CT and ultrasonography scans were compared. Results: The benign nodule group had significantly higher pure diffusion coefficient (D) (1.38±0.32 vs 0.95±0.12), perfusion fraction (F) values (17.13±4.35 vs 12.83±2.93) and iodine concentration (IC) plain scan scores (0.96±0.44 vs 0.56±0.37), whereas it had lower IC artery scores (2.65±1.11 vs 3.92±1.22) than those of the PTC group (p<0.001 for all). The Emax value of the PTC group was substantially greater than that of the benign nodule group (62.53±37.93 vs 25.37±8.38, p<0.001), and the percentage of nodules with aspect ratio ≥ 1 was higher in the PTC group than in the benign nodule group (48.0% vs 22.2%, p=0.005). The area under the curve (AUC) for MRI in the diagnosis of PTC patients was 0.885, which was substantially higher than those for ultrasonography (AUC=0.705) and CT exams (AUC=0.753) (p<0.001). Conclusion: MRI, ultrasonography and CT examinations are essential for discriminating between benign thyroid nodules and PTC. MRI has better diagnostic accuracy than the other two tests.
Y. Chen, Ph.d., Q. Zhou,
Volume 22, Issue 4 (10-2024)
Abstract
Background: Nomogram modeling of the nature of thyroid nodules (TNs) is useful in helping physical examiners to make early interventions for malignant nodules. To predict the nature of TNs (benign and malignant) in a Chinese population undergoing physical examination by using nomogram model. Materials and Methods: Basic information and ultrasound (US) images were collected from 4,144 examiners who were found to have TNs during their physical examinations between 2023 and 2024. Predictors of malignant thyroid nodules were assessed by univariate and multivariate logistic regression. The examiners' information was randomly categorized into the training set (n = 700) and the test set (n = 300) in a 7:3 ratios. The nomogram model was constructed based on the training set, and the ROCR and RMS program packages were used to plot the receiver operating characteristic (ROC) curve and calculate the area under curve (AUC) to evaluate the classification performance of the model. Results: The maximum diameter of TNs (P = 0.002), waist-to-hip ratio (P = 0.002), diastolic blood pressure (P < 0.001), TSH (P < 0.001), FT4 (P < 0.001), T4 (P = 0.013), Thyroglobulin (P ≤ 0.001), CEA (P = 0.007), Women (P = 0.012), Hypertension (P = 0.047), and multiple nodules (P < 0.001) were predictors of malignant thyroid nodules. The nomogram model constructed on the basis of waist-to-hip ratio, diastolic blood pressure, maximum diameter of TNs, and CEA values was able to better predict malignant thyroid nodules. Conclusions: Our nomogram model for the nature of TNs constructed on the basis of physical examination information has high accuracy, and can provide some decision support for patients with TNs.
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