RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCIE SCOPUS

      Computer-Aided Diagnosis System for the Evaluation of Thyroid Nodules on Ultrasonography: Prospective Non-Inferiority Study according to the Experience Level of Radiologists

      한글로보기

      https://www.riss.kr/link?id=A106585912

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Objective: To determine whether a computer-aided diagnosis (CAD) system for the evaluation of thyroid nodules is non-inferior to radiologists with different levels of experience.
      Materials and Methods: Patients with thyroid nodules with a decisive diagnosis of benign or malignant nodule were consecutively enrolled from November 2017 to September 2018. Three radiologists with different levels of experience (1 month, 4 years, and 7 years) in thyroid ultrasound (US) reviewed the thyroid US with and without using the CAD system. Statistical analyses included non-inferiority testing of the diagnostic accuracy for malignant thyroid nodules between the CAD system and the three radiologists with a non-inferiority margin of 10%, comparison of the diagnostic performance, and the added value of the CAD system to the radiologists.
      Results: Altogether, 197 patients were included in the study cohort. The diagnostic accuracy of the CAD system (88.5%, 95% confidence interval [CI] = 82.7–92.5) was non-inferior to that of the radiologists with less experience (1 month and 4 year) of thyroid US (83.0%, 95% CI = 76.5–88.0; p < 0.001), whereas it was inferior to that of the experienced radiologist (7 years) (95.8%, 95% CI = 91.4–98.0; p = 0.138). The sensitivity and negative predictive value of the CAD system were significantly higher than those of the less-experienced radiologists were, whereas no significant difference was found with those of the experienced radiologist. A combination of US and the CAD system significantly improved sensitivity and negative predictive value, although the specificity and positive predictive value deteriorated for the less-experienced radiologists.
      Conclusion: The CAD system may offer support for decision-making in the diagnosis of malignant thyroid nodules for operators who have less experience with thyroid US.
      번역하기

      Objective: To determine whether a computer-aided diagnosis (CAD) system for the evaluation of thyroid nodules is non-inferior to radiologists with different levels of experience. Materials and Methods: Patients with thyroid nodules with a decisive di...

      Objective: To determine whether a computer-aided diagnosis (CAD) system for the evaluation of thyroid nodules is non-inferior to radiologists with different levels of experience.
      Materials and Methods: Patients with thyroid nodules with a decisive diagnosis of benign or malignant nodule were consecutively enrolled from November 2017 to September 2018. Three radiologists with different levels of experience (1 month, 4 years, and 7 years) in thyroid ultrasound (US) reviewed the thyroid US with and without using the CAD system. Statistical analyses included non-inferiority testing of the diagnostic accuracy for malignant thyroid nodules between the CAD system and the three radiologists with a non-inferiority margin of 10%, comparison of the diagnostic performance, and the added value of the CAD system to the radiologists.
      Results: Altogether, 197 patients were included in the study cohort. The diagnostic accuracy of the CAD system (88.5%, 95% confidence interval [CI] = 82.7–92.5) was non-inferior to that of the radiologists with less experience (1 month and 4 year) of thyroid US (83.0%, 95% CI = 76.5–88.0; p < 0.001), whereas it was inferior to that of the experienced radiologist (7 years) (95.8%, 95% CI = 91.4–98.0; p = 0.138). The sensitivity and negative predictive value of the CAD system were significantly higher than those of the less-experienced radiologists were, whereas no significant difference was found with those of the experienced radiologist. A combination of US and the CAD system significantly improved sensitivity and negative predictive value, although the specificity and positive predictive value deteriorated for the less-experienced radiologists.
      Conclusion: The CAD system may offer support for decision-making in the diagnosis of malignant thyroid nodules for operators who have less experience with thyroid US.

      더보기

      참고문헌 (Reference)

      1 Guth S, "Very high prevalence of thyroid nodules detected by high frequency(13 MHz)ultrasound examination" 39 : 699-706, 2009

      2 Nam-Goong IS, "Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings" 60 : 21-28, 2004

      3 Tan GH, "Thyroid incidentalomas : management approaches to nonpalpable nodules discovered incidentally on thyroid imaging" 126 : 226-231, 1997

      4 Liu JP, "Tests for equivalence or non-inferiority for paired binary data" 21 : 231-245, 2002

      5 Papini E, "Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features" 87 : 1941-1946, 2002

      6 Kim HL, "Real-world performance of computer-aided diagnosis system for thyroid nodules using ultrasonography" 45 : 2672-2678, 2019

      7 Frates MC, "Prevalence and distribution of carcinoma in patients with solitary and multiple thyroid nodules on sonography" 91 : 3411-3417, 2006

      8 Park CS, "Observer variability in the sonographic evaluation of thyroid nodules" 38 : 287-293, 2010

      9 김성헌, "Observer Variability and the Performance between Faculties and Residents: US Criteria for Benign and Malignant Thyroid Nodules" 대한영상의학회 11 (11): 149-155, 2010

      10 Choi SH, "Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules" 20 : 167-172, 2010

      1 Guth S, "Very high prevalence of thyroid nodules detected by high frequency(13 MHz)ultrasound examination" 39 : 699-706, 2009

      2 Nam-Goong IS, "Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings" 60 : 21-28, 2004

      3 Tan GH, "Thyroid incidentalomas : management approaches to nonpalpable nodules discovered incidentally on thyroid imaging" 126 : 226-231, 1997

      4 Liu JP, "Tests for equivalence or non-inferiority for paired binary data" 21 : 231-245, 2002

      5 Papini E, "Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features" 87 : 1941-1946, 2002

      6 Kim HL, "Real-world performance of computer-aided diagnosis system for thyroid nodules using ultrasonography" 45 : 2672-2678, 2019

      7 Frates MC, "Prevalence and distribution of carcinoma in patients with solitary and multiple thyroid nodules on sonography" 91 : 3411-3417, 2006

      8 Park CS, "Observer variability in the sonographic evaluation of thyroid nodules" 38 : 287-293, 2010

      9 김성헌, "Observer Variability and the Performance between Faculties and Residents: US Criteria for Benign and Malignant Thyroid Nodules" 대한영상의학회 11 (11): 149-155, 2010

      10 Choi SH, "Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules" 20 : 167-172, 2010

      11 Zhao WJ, "Effectiveness evaluation of computer-aided diagnosis system for the diagnosis of thyroid nodules on ultrasound: a systematic review and meta-analysis" 98 : e16379-, 2019

      12 Gao L, "Computeraided system for diagnosing thyroid nodules on ultrasound : a comparison with radiologist-based clinical assessments" 40 : 778-783, 2018

      13 Yu Q, "Computeraided diagnosis of malignant or benign thyroid nodes based on ultrasound images" 274 : 2891-2897, 2017

      14 Acharya UR, "Computer-aided diagnostic system for detection of Hashimoto thyroiditis on ultrasound images from a Polish population" 33 : 245-253, 2014

      15 Jeong EY, "Computer-aided diagnosis system for thyroid nodules on ultrasonography : diagnostic performance and reproducibility based on the experience level of operators" 29 : 1978-1985, 2019

      16 Lim KJ, "Computer-aided diagnosis for the differentiation of malignant from benign thyroid nodules on ultrasonography" 15 : 853-858, 2008

      17 Chang Y, "Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images : a comparison with radiologist-based assessments" 43 : 554-, 2016

      18 유영진, "Computer-Aided Diagnosis of Thyroid Nodules via Ultrasonography: Initial Clinical Experience" 대한영상의학회 19 (19): 665-672, 2018

      19 Moon WJ, "Benign and malignant thyroid nodules : US differentiation—Multicenter retrospective study" 247 : 762-770, 2008

      20 Choi YJ, "A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of thyroid nodules on ultrasound : initial clinical assessment" 27 : 546-552, 2017

      21 Gitto S, "A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound" 124 : 118-125, 2019

      22 Li LN, "A computer aided diagnosis system for thyroid disease using extreme learning machine" 36 : 3327-3337, 2012

      23 Haugen BR, "2015 American Thyroid Association Management Guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: the American Thyroid Association Guidelines task force on thyroid nodules and differentiated thyroid cancer" 26 : 1-133, 2016

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2016-11-15 학회명변경 영문명 : The Korean Radiological Society -> The Korean Society of Radiology KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.61 0.46 1.15
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.93 0.84 0.494 0.06
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼