Virtual Touch Tissue Quantification of Acoustic Radiation Force Impulse: A New Ultrasound Elastic Imaging in the Diagnosis of Thyroid Nodules
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{"title"=>"Virtual Touch Tissue Quantification of Acoustic Radiation Force Impulse: A New Ultrasound Elastic Imaging in the Diagnosis of Thyroid Nodules", "type"=>"journal", "authors"=>[{"first_name"=>"Yi Feng", "last_name"=>"Zhang", "scopus_author_id"=>"55332472800"}, {"first_name"=>"Hui Xiong", "last_name"=>"Xu", "scopus_author_id"=>"35504144600"}, {"first_name"=>"Yong", "last_name"=>"He", "scopus_author_id"=>"55481091900"}, {"first_name"=>"Chang", "last_name"=>"Liu", "scopus_author_id"=>"56954035300"}, {"first_name"=>"Le Hang", "last_name"=>"Guo", "scopus_author_id"=>"54415669200"}, {"first_name"=>"Lin Na", "last_name"=>"Liu", "scopus_author_id"=>"55589002400"}, {"first_name"=>"Jun Mei", "last_name"=>"Xu", "scopus_author_id"=>"55369965600"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84869028796", "pui"=>"366043266", "doi"=>"10.1371/journal.pone.0049094", "isbn"=>"1932-6203", "sgr"=>"84869028796", "pmid"=>"23152855"}, "id"=>"89c3b5c4-8fd4-3003-8f8e-20bd090963cd", "abstract"=>"OBJECTIVE Virtual touch tissue quantification (VTQ) of acoustic radiation force impulse (ARFI) is a new quantitative technique to measure tissue stiffness. The study was aimed to assess the usefulness of VTQ in the diagnosis of thyroid nodules. METHODS 173 pathologically proven thyroid nodules in 142 patients were included and all were examined by conventional ultrasound (US), conventional elasticity imaging (EI) and VTQ of ARFI. The tissue stiffness for VTQ was expressed as shear wave velocity (SWV) (m/s). Receiver-operating characteristic curve (ROC) analyses were performed to assess the diagnostic performance. Intra- and inter-observer reproducibility of VTQ measurement was assessed. RESULTS The SWVs of benign and malignant thyroid nodules were 2.34±1.17 m/s (range: 0.61-9.00 m/s) and 4.82±2.53 m/s (range: 2.32-9.00 m/s) respectively (P<0.001). The mean SWV ratios between each nodule and the adjacent thyroid tissue were 1.19±0.67 (range: 0.31-6.87) for benign and 2.50±1.54 (range: 0.85-6.69) for malignant nodules (P<0.001). ROC analyses indicated that the area under the curve was 0.861 (95% CI : 0.804, 0.918) (P<0.001) for SWV and 0.831(95% CI : 0.761, 0.900)(P<0.001) for the SWV ratio. The cutoff points for the differential diagnosis were 2.87 m/s for SWV and 1.59 for SWV ratio. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for EI were 65.9%, 66.7%, 66.5%, 40.3%, and 85.1%, respectively, and were 63.6%-75%, 82.2%-88.4%, 80.3%-82.1%, 58.9%-65.1%, and 87.7%-90.5%, respectively, for VTQ. The diagnostic value of VTQ is the highest for nodules >20 mm and lowest for those ≤10 mm. The correlation coefficients were 0.904 for intraobserver measurement and 0.864 for interobserver measurement. CONCLUSIONS VTQ of ARFI provides quantitative and reproducible information about the tissue stiffness, which is useful for the differentiation between benign and malignant thyroid nodules. The diagnostic performance of VTQ is higher than that of conventional EI.", "link"=>"http://www.mendeley.com/research/virtual-touch-tissue-quantification-acoustic-radiation-force-impulse-new-ultrasound-elastic-imaging", "reader_count"=>21, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>5, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>2, "Other"=>5, "Student > Master"=>2, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>5, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>2, "Other"=>5, "Student > Master"=>2, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>16, "Physics and Astronomy"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>16}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}}, "reader_count_by_country"=>{"Korea (South)"=>1, "India"=>2}, "group_count"=>2}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/543689"], "description"=>"<p>Gray-scale image (a) and color Doppler image (b) of the nodule. VTQ of the nodule shows the SWV is displayed as x.xxm/s and the SWV of the adjacent thyroid tissue (d) is 1.76 m/s.</p>", "links"=>[], "tags"=>["59-year-old", "lesion", "papillary"], "article_id"=>214176, "categories"=>["Physiology", "Cancer", "Cell Biology"], "users"=>["Yi-Feng Zhang", "Hui-Xiong Xu", "Yong He", "Chang Liu", "Le-Hang Guo", "Lin-Na Liu", "Jun-Mei Xu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049094.g003", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_59_year_old_woman_with_a_solid_lesion_of_papillary_carcinoma_/214176", "title"=>"A 59-year-old woman with a solid lesion of papillary carcinoma.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 20:22:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/543912"], "description"=>"*<p>Compared with AUC of SWV in nodule ≤10 mm, <i>z</i> = 2.73, <i>P<</i>0.01.</p>**<p>Compared with AUC of SWV ratio in nodule ≤10 mm, <i>z</i> = 2.30, <i>P<</i>0.05.</p>", "links"=>[], "tags"=>["diagnostic", "swv", "differentiating", "benign", "malignant", "thyroid"], "article_id"=>214395, "categories"=>["Physiology", "Cancer", "Cell Biology"], "users"=>["Yi-Feng Zhang", "Hui-Xiong Xu", "Yong He", "Chang Liu", "Le-Hang Guo", "Lin-Na Liu", "Jun-Mei Xu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049094.t003", "stats"=>{"downloads"=>2, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_diagnostic_performance_of_SWV_and_SWV_ratio_in_differentiating_benign_from_malignant_thyroid_nodules_/214395", "title"=>"The diagnostic performance of SWV and SWV ratio in differentiating benign from malignant thyroid nodules.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 20:23:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/543868"], "description"=>"<p>BN: benign; CA: carcinoma; PPV, positive predictive value; NPV, negative predictive value.</p>", "links"=>[], "tags"=>["173", "thyroid"], "article_id"=>214357, "categories"=>["Physiology", "Cancer", "Cell Biology"], "users"=>["Yi-Feng Zhang", "Hui-Xiong Xu", "Yong He", "Chang Liu", "Le-Hang Guo", "Lin-Na Liu", "Jun-Mei Xu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049094.t002", "stats"=>{"downloads"=>5, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predictive_value_of_conventional_US_features_in_173_thyroid_lesions_/214357", "title"=>"Predictive value of conventional US features in 173 thyroid lesions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 20:23:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/543346"], "description"=>"<p>The flowchart of the selection of the patients with thyroid nodules.</p>", "links"=>[], "tags"=>["flowchart", "patients", "thyroid"], "article_id"=>213827, "categories"=>["Physiology", "Cancer", "Cell Biology"], "users"=>["Yi-Feng Zhang", "Hui-Xiong Xu", "Yong He", "Chang Liu", "Le-Hang Guo", "Lin-Na Liu", "Jun-Mei Xu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049094.g001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_flowchart_of_the_selection_of_the_patients_with_thyroid_nodules_/213827", "title"=>"The flowchart of the selection of the patients with thyroid nodules.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 20:20:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/543535"], "description"=>"<p>Gray-scale image (a) and color Doppler image (b) of the nodule. VTQ of the nodule (c) shows the SWV is 1.13 m/s and the SWV of the adjacent thyroid tissue (d) is 2.72 m/s.</p>", "links"=>[], "tags"=>["42-year-old", "lesion", "nodular"], "article_id"=>214026, "categories"=>["Physiology", "Cancer", "Cell Biology"], "users"=>["Yi-Feng Zhang", "Hui-Xiong Xu", "Yong He", "Chang Liu", "Le-Hang Guo", "Lin-Na Liu", "Jun-Mei Xu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049094.g002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_42_year_old_woman_with_a_solid_lesion_of_nodular_goiter_/214026", "title"=>"A 42-year-old woman with a solid lesion of nodular goiter.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 20:21:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/543832"], "description"=>"<p>The basic characteristics of the patients and the US features of the thyroid nodules.</p>", "links"=>[], "tags"=>["characteristics", "patients", "thyroid"], "article_id"=>214322, "categories"=>["Physiology", "Cancer", "Cell Biology"], "users"=>["Yi-Feng Zhang", "Hui-Xiong Xu", "Yong He", "Chang Liu", "Le-Hang Guo", "Lin-Na Liu", "Jun-Mei Xu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049094.t001", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_basic_characteristics_of_the_patients_and_the_US_features_of_the_thyroid_nodules_/214322", "title"=>"The basic characteristics of the patients and the US features of the thyroid nodules.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 20:23:00"}

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  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"9", "full-text"=>"6", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
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  • {"unique-ip"=>"17", "full-text"=>"18", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"29", "full-text"=>"29", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
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  • {"unique-ip"=>"34", "full-text"=>"39", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"29", "full-text"=>"30", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
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Relative Metric

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