title: Comparison between Thin-Slice 3-D Volumetric Ultrasound and Conventional Ultrasound in the Differentiation of Benign and Malignant Thyroid Lesions.
abstract: We explored the efficacy of thin-slice volumetric 3-D ultrasound (3-DUS) in distinguishing between benign and malignant thyroid nodules. A total of 103 thyroid nodules were evaluated prospectively using 3-D gray-scale ultrasonography. The shape, margin, halo and potential capsular invasion of the nodules were compared with the findings of conventional 2-D ultrasound (2-DUS). Of the 103 thyroid nodules, there were 50 pathologically confirmed benign lesions and 53 malignant lesions (51.5%). Shape irregularity, ill-defined margins and capsular invasion provided sensitivities of 90.0%, 47.2% and 39.6% and specificities of 88.0%, 84.0% and 100%, respectively, for the malignant lesions. The diagnosis of thyroid cancer was improved in 3-DUS compared with 2-DUS, with a sensitivity of 88.7%, specificity of 90.0%, positive predictive value of 90.4%, negative predictive value of 88.2% and accuracy of 89.3%. The sensitivity of detection for lesions with capsular invasion increased to 39.6% with 3-DUS, more than twice that of 2-DUS. Three-dimensional US is highly accurate in diagnosing thyroid nodules, particularly those with capsular invasion.
authors.affiliation: Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China.
authors.forename: Wen-Bo
authors.initials: WB
authors.lastname: Li
authors.affiliation: Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Zhang
authors.affiliation: Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China.
authors.forename: Qing-Li
authors.initials: QL
authors.lastname: Zhu
authors.affiliation: Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China. Electronic address: Yuxinjiangxh@163.com.
authors.forename: Yu-Xin
authors.initials: YX
authors.lastname: Jiang
authors.affiliation: Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Sun
authors.affiliation: Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China.
authors.forename: Meng
authors.initials: M
authors.lastname: Yang
authors.affiliation: Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Dongcheng District, Beijing, China.
authors.forename: Jian-Chu
authors.initials: JC
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013961:Thyroid Gland / Q000000981:diagnostic imaging; D013964:Thyroid Neoplasms / Q000000981:diagnostic imaging*; D016606:Thyroid Nodule / Q000000981:diagnostic imaging*; D014463:Ultrasonography; D055815:Young Adult
keywords: 3-D ultrasound; Diagnosis; Thyroid nodule