Computer-Aided Diagnosis of Thyroid Nodules via Ultrasonography: Initial Clinical Experience
Korean Journal of Radiology
;
: 665-672, 2018.
Article
in English
| WPRIM
| ID: wpr-716269
ABSTRACT
OBJECTIVE:
To prospectively evaluate the diagnostic performance of computer-aided diagnosis (CAD) for detection of thyroid cancers via ultrasonography (US). MATERIALS ANDMETHODS:
This study included 50 consecutive patients with 117 thyroid nodules on US during the period between June 2016 and July 2016. A radiologist performed US examinations using real-time CAD integrated into a US scanner. We compared the diagnostic performance of radiologist, the CAD system, and the CAD-assisted radiologist for the detection of thyroid cancers.RESULTS:
The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the CAD system were 80.0, 88.1, 83.3, 85.5, and 84.6%, respectively, and were not significantly different from those of the radiologist (p > 0.05). The CAD-assisted radiologist showed improved diagnostic sensitivity compared with the radiologist alone (92.0% vs. 84.0%, p = 0.037), while the specificity and PPV were reduced (85.1% vs. 95.5%, p = 0.005 and 82.1% vs. 93.3%, p = 0.008). The radiologist assisted by the CAD system exhibited better diagnostic sensitivity and NPV than the CAD system alone (92.0% vs. 80.0%, p = 0.009 and 93.4% vs. 88.9%, p = 0.013), while the specificities and PPVs were not significantly different (88.1% vs. 85.1%, p = 0.151 and 83.3% vs. 82.1%, p = 0.613, respectively).CONCLUSION:
The CAD system may be an adjunct to radiological intervention in the diagnosis of thyroid cancer.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Thyroid Gland
/
Thyroid Neoplasms
/
Artificial Intelligence
/
Prospective Studies
/
Ultrasonography
/
Sensitivity and Specificity
/
Thyroid Nodule
/
Diagnosis
Type of study:
Diagnostic study
/
Observational study
Limits:
Humans
Language:
English
Journal:
Korean Journal of Radiology
Year:
2018
Type:
Article
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