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Diagnostic Performance of Ultrasound Computer-Aided Diagnosis Software Compared with That of Radiologists with Different Levels of Expertise for Thyroid Malignancy: A Multicenter Prospective Study.

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Title: Diagnostic Performance of Ultrasound Computer-Aided Diagnosis Software Compared with That of Radiologists with Different Levels of Expertise for Thyroid Malignancy: A Multicenter Prospective Study.
Authors: Ye, Feng-Ying1 (AUTHOR), Lyu, Guo-Rong1,2 (AUTHOR) lgr_feus@sina.com, Li, Shang-Qing2 (AUTHOR), You, Jian-Hong3 (AUTHOR), Wang, Kang-Jian4 (AUTHOR), Cai, Ming-Li5 (AUTHOR), Su, Qi-Chen1 (AUTHOR)
Source: Ultrasound in Medicine & Biology. Jan2021, Vol. 47 Issue 1, p114-124. 11p.
Subjects: Diagnostic ultrasonic imaging, Thyroid gland, Nodular disease, Radiologists, Thyroid nodules, Longitudinal method, Computer software, Research, Ultrasonic imaging, Thyroid gland tumors, Research methodology, Medical cooperation, Evaluation research, Comparative studies, Clinical competence, Computer-aided diagnosis, Medical specialties & specialists
Abstract: The aim of the work described here was to evaluate the diagnostic performance of ultrasound thyroid computer-aided diagnosis (CAD) software. This multicenter prospective study included 494 patients (565 thyroid nodules) who underwent surgery or biopsy after ultrasonography at four hospitals from January 2019 to September 2019. The diagnostic performance metrics of different readers were calculated and compared with the pathologic results. The sensitivity of CAD was outstanding and was equivalent to that of a senior radiologist (90.51% vs. 88.47%, p > 0.05). The area under the curve of CAD was equivalent to that of a junior radiologist (0.748 vs. 0.739, p > 0.05). However, the specificity was only 49.63%, which was lower than those of the three radiologists (75.56%, 85.93% and 90.37% for the junior, intermediate and senior radiologists, respectively). The diagnostic performance of the junior radiologist was significantly improved with the aid of CAD (junior + CAD). The sensitivity and area under the curve of junior + CAD were improved from 72.20% to 89.93% and from 0.739 to 0.816, respectively (both p values <0.05), and the positive predictive value, negative predictive value and κ coefficient improved from 76.3% to 78.6%, 82.0% to 86.8% and 0.394 to 0.511, respectively. Though specificity slightly decreased from 75.56% to 73.33%, the difference was not statistically significant (p > 0.05). In general, the clinical application value of CAD is promising, and its instrumental value for junior radiologists is significant. [ABSTRACT FROM AUTHOR]
Copyright of Ultrasound in Medicine & Biology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Diagnostic Performance of Ultrasound Computer-Aided Diagnosis Software Compared with That of Radiologists with Different Levels of Expertise for Thyroid Malignancy: A Multicenter Prospective Study.
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  Data: The aim of the work described here was to evaluate the diagnostic performance of ultrasound thyroid computer-aided diagnosis (CAD) software. This multicenter prospective study included 494 patients (565 thyroid nodules) who underwent surgery or biopsy after ultrasonography at four hospitals from January 2019 to September 2019. The diagnostic performance metrics of different readers were calculated and compared with the pathologic results. The sensitivity of CAD was outstanding and was equivalent to that of a senior radiologist (90.51% vs. 88.47%, p &gt; 0.05). The area under the curve of CAD was equivalent to that of a junior radiologist (0.748 vs. 0.739, p &gt; 0.05). However, the specificity was only 49.63%, which was lower than those of the three radiologists (75.56%, 85.93% and 90.37% for the junior, intermediate and senior radiologists, respectively). The diagnostic performance of the junior radiologist was significantly improved with the aid of CAD (junior + CAD). The sensitivity and area under the curve of junior + CAD were improved from 72.20% to 89.93% and from 0.739 to 0.816, respectively (both p values &lt;0.05), and the positive predictive value, negative predictive value and κ coefficient improved from 76.3% to 78.6%, 82.0% to 86.8% and 0.394 to 0.511, respectively. Though specificity slightly decreased from 75.56% to 73.33%, the difference was not statistically significant (p &gt; 0.05). In general, the clinical application value of CAD is promising, and its instrumental value for junior radiologists is significant. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Ultrasound in Medicine &amp; Biology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.ultrasmedbio.2020.09.019
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 114
    Subjects:
      – SubjectFull: Diagnostic ultrasonic imaging
        Type: general
      – SubjectFull: Thyroid gland
        Type: general
      – SubjectFull: Nodular disease
        Type: general
      – SubjectFull: Radiologists
        Type: general
      – SubjectFull: Thyroid nodules
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Research
        Type: general
      – SubjectFull: Ultrasonic imaging
        Type: general
      – SubjectFull: Thyroid gland tumors
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Medical cooperation
        Type: general
      – SubjectFull: Evaluation research
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      – SubjectFull: Comparative studies
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      – SubjectFull: Clinical competence
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      – SubjectFull: Computer-aided diagnosis
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      – SubjectFull: Medical specialties & specialists
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      – TitleFull: Diagnostic Performance of Ultrasound Computer-Aided Diagnosis Software Compared with That of Radiologists with Different Levels of Expertise for Thyroid Malignancy: A Multicenter Prospective Study.
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              M: 01
              Text: Jan2021
              Type: published
              Y: 2021
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