Computer-aided diagnosis system of thyroid nodules ultrasonography: Diagnostic performance difference between computer-aided diagnosis and 111 radiologists.

To evaluate the diagnostic efficiency of computer-aided diagnosis (CAD) system and 111 radiologists with different experience in identifying benign and malignant thyroid nodules, and to summarize the ultrasound features that may affect the diagnostic of CAD and radiologists.Fifty thyroid nodules and...

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Publicado en:Medicine Vol. 99; no. 23; pp. 1 - 7
Autores principales: Tingting Li, Zirui Jiang, Man Lu, Shibin Zou, Minggang Wu, Ting Wei, Lu Wang, Juan Li, Ziyue Hu, Xueqing Cheng, Jifen Liao, Li, Tingting, Jiang, Zirui, Lu, Man, Zou, Shibin, Wu, Minggang, Wei, Ting, Wang, Lu, Li, Juan, Hu, Ziyue
Formato: research Journal Article
Publicado: Lippincott Williams & Wilkins 6/5/2020
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Lippincott Williams & Wilkins
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        atl: Computer-aided diagnosis system of thyroid nodules ultrasonography: Diagnostic performance difference between computer-aided diagnosis and 111 radiologists.
      aug:
        au:
          Tingting Li
          Zirui Jiang
          Man Lu
          Shibin Zou
          Minggang Wu
          Ting Wei
          Lu Wang
          Juan Li
          Ziyue Hu
          Xueqing Cheng
          Jifen Liao
          Li, Tingting
          Jiang, Zirui
          Lu, Man
          Zou, Shibin
          Wu, Minggang
          Wei, Ting
          Wang, Lu
          Li, Juan
          Hu, Ziyue
        affil: Ultrasound Medical Center, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
      sug:
        subj:
          Image Interpretation, Computer Assisted Standards
          Thyroid Nodule
          Specialties, Medical Standards
          Thyroid Neoplasms
          Thyroid Nodule Pathology
          Sensitivity and Specificity
          Ultrasonography
          Human
      ab: To evaluate the diagnostic efficiency of computer-aided diagnosis (CAD) system and 111 radiologists with different experience in identifying benign and malignant thyroid nodules, and to summarize the ultrasound features that may affect the diagnostic of CAD and radiologists.Fifty thyroid nodules and 111 radiologists were enrolled in this study. All the 50 nodules were diagnosed by the 111 radiologists and the CAD system simultaneously. The diagnostic performance of the CAD system, senior and junior radiologists with the maximum accuracy were calculated and compared. Interobserver agreement for different ultrasound characteristics between the CAD and senior radiologist were analyzed.CAD system showed a higher specificity than junior radiologist (87.5% vs 70.4%, P = .03), and a lower sensitivity than the senior radiologist and junior radiologist but the statistics were not significant (76.9% vs 86.9%, P > .5; 76.9% vs 82.6%, P > .5). The CAD system and senior radiologist got larger AUC than junior radiologist but the differences were not statistically significant (0.82 vs 0.76, respectively; P = .5). The interobserver agreement for the US characteristics between the CAD system and senior radiologist were: substantial agreement for hypoechoic and taller than wide (kappa value = 0.66, 0.78), and moderate agreement for irregular margin and micro-calcifications (kappa value = 0.52, 0.42).The CAD system achieved equal diagnostic accuracy to the senior radiologists and higher accuracy than the junior radiologists. The interobserver agreements in the US features between the CAD system and senior radiologist were substantial agreement for hypoechoic and taller than wide; moderate agreement for irregular margin and micro-calcifications. The location of a thyroid nodule and the feature of macrocalcification with wide acoustic shadow may influence the analysis of the CAD system.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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