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Preoperative prediction of papillary thyroid microcarcinoma via multiparameter ultrasound

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机构: [1]Department of Ultrasound, Xuanwu Hospital, Capital Medical University, Beijing, PR China [2]Department of Surgery, Xuanwu Hospital, Capital Medical University, Beijing, PR China [3]Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, PR China
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关键词: Contrast-enhanced ultrasound elastography ultrasound papillary thyroid microcarcinoma subcentimeter nodule

摘要:
Background: Accurate diagnosis of papillary thyroid microcarcinoma (PTMC) is important for further management. Ultrasound (US) is the most frequently used imaging modality for PTMC. Purpose: To evaluate the diagnostic value of conventional US, contrast-enhanced ultrasound (CEUS) and real-time elastography (RTE) for patients with PTMC. Material and Methods: In total, 135 patients with subcentimeter thyroid nodules who underwent conventional US, CEUS, and RTE before surgery were enrolled. A multivariate logistic regression analysis was performed to assess the independent predictors of PTMC. The diagnostic performances of conventional US, CEUS, and RTE were evaluated with a receiver operating characteristic (ROC) curve analysis. Results: A taller-than-wide shape was identified as the strongest predictor of PTMC (odds ratio [OR], 25.21), followed by heterogeneous enhancement (OR, 24.03), marked hypoechogenicity (OR, 21.71), poorly defined margin (OR, 5.51), strain ratio (OR, 2.59), and age (OR, 0.92; all P values < 0.05). Heterogeneous enhancement on CEUS showed the highest positive predictive value (PPV; 88.0%) and an accuracy of 83.7%. A logistic regression model was created to predict PTMC using conventional US, CEUS, and RTE. The area under the ROC curve was 0.97, with a sensitivity of 88.6% and a specificity of 94.6%. Conclusion: Conventional US combined with CEUS and RTE can improve the diagnostic accuracy of PTMC.

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出版当年[2016]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 核医学
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出版当年[2015]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2015版] 出版当年五年平均 出版前一年[2014版] 出版后一年[2016版]

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第一作者机构: [1]Department of Ultrasound, Xuanwu Hospital, Capital Medical University, Beijing, PR China
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通讯机构: [*1]Department of Ultrasound, Xuanwu Hospital, Capital Medical University, 45 Changchun Rd, 100053 Beijing, PR China.
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