The added value of a deep learning-based computer-aided detection system on prostate cancer detection among readers with varying level of multiparametric MRI expertise

被引:1
作者
Yilmaz, Enis C. [1 ]
Turkbey, Baris [1 ]
机构
[1] NCI, Mol Imaging Branch, NIH, Bethesda, MD USA
关键词
ARTIFICIAL-INTELLIGENCE; DIAGNOSIS;
D O I
10.21037/cco-22-104
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
引用
收藏
页数:9
相关论文
共 21 条
  • [11] Assigning readers to cases in imaging studies using balanced incomplete block designs
    Huang, Erich P.
    Shih, Joanna H.
    [J]. STATISTICAL METHODS IN MEDICAL RESEARCH, 2021, 30 (10) : 2288 - 2312
  • [12] A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists
    Labus, Sandra
    Altmann, Martin M.
    Huisman, Henkjan
    Tong, Angela
    Penzkofer, Tobias
    Choi, Moon Hyung
    Shabunin, Ivan
    Winkel, David J.
    Xing, Pengyi
    Szolar, Dieter H.
    Shea, Steven M.
    Grimm, Robert
    von Busch, Heinrich
    Kamen, Ali
    Herold, Thomas
    Baumann, Clemens
    [J]. EUROPEAN RADIOLOGY, 2023, 33 (01) : 64 - 76
  • [13] Comparison of diagnostic performance and inter-reader agreement between PI-RADS v2.1 and PI-RADS v2: systematic review and meta-analysis
    Lee, Chau Hung
    Vellayappan, Balamurugan
    Tan, Cher Heng
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2022, 95 (1131)
  • [14] A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging
    Mehralivand, Sherif
    Yang, Dong
    Harmon, Stephanie A.
    Xu, Daguang
    Xu, Ziyue
    Roth, Holger
    Masoudi, Samira
    Sanford, Thomas H.
    Kesani, Deepak
    Lay, Nathan S.
    Merino, Maria J.
    Wood, Bradford J.
    Pinto, Peter A.
    Choyke, Peter L.
    Turkbey, Baris
    [J]. ACADEMIC RADIOLOGY, 2022, 29 (08) : 1159 - 1168
  • [15] Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI
    Mehralivand, Sherif
    Harmon, Stephanie A.
    Shih, Joanna H.
    Smith, Clayton P.
    Lay, Nathan
    Argun, Burak
    Bednarova, Sandra
    Baroni, Ronaldo Hueb
    Canda, Abdullah Erdem
    Ercan, Karabekir
    Girometti, Rossano
    Karaarslan, Ercan
    Kural, Ali Riza
    Pursyko, Andrei S.
    Rais-Bahrami, Soroush
    Tonso, Victor Martins
    Magi-Galluzzi, Cristina
    Gordetsky, Jennifer B.
    Silvestre e Silva Macarenco, Ricardo
    Merino, Maria J.
    Gumuskaya, Berrak
    Saglican, Yesim
    Sioletic, Stefano
    Warren, Anne Y.
    Barrett, Tristan
    Bittencourt, Leonardo
    Coskun, Mehmet
    Knauss, Chris
    Law, Yan Mee
    Malayeri, Ashkan A.
    Margolis, Daniel J.
    Marko, Jamie
    Yakar, Derya
    Wood, Bradford J.
    Pinto, Peter A.
    Choyke, Peter L.
    Summers, Ronald M.
    Turkbey, Baris
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2020, 215 (04) : 903 - 912
  • [16] Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis
    Sathianathen, Niranjan J.
    Omer, Altan
    Harriss, Eli
    Davies, Lucy
    Kasivisvanathan, Veeru
    Punwani, Shonit
    Moore, Caroline M.
    Kastner, Christof
    Barrett, Tristan
    Van Den Bergh, Roderick C. N.
    Eddy, Ben A.
    Gleeson, Fergus
    Macpherson, Ruth
    Bryant, Richard J.
    Catto, James W. F.
    Murphy, Declan G.
    Hamdy, Freddie C.
    Ahmed, Hashim U.
    Lamb, Alastair D.
    [J]. EUROPEAN UROLOGY, 2020, 78 (03) : 402 - 414
  • [17] Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review
    Stabile, Armando
    Giganti, Francesco
    Kasivisvanathan, Veeru
    Giannarini, Gianluca
    Moore, Caroline M.
    Padhani, Anwar R.
    Panebianco, Valeria
    Rosenkrantz, Andrew B.
    Salomon, Georg
    Turkbey, Baris
    Villeirs, Geert
    Barentsz, Jelle O.
    [J]. EUROPEAN UROLOGY ONCOLOGY, 2020, 3 (02): : 145 - 167
  • [18] Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021
    Suarez-Ibarrola, Rodrigo
    Sigle, August
    Eklund, Martin
    Eberli, Daniel
    Miernik, Arkadiusz
    Benndorf, Matthias
    Bamberg, Fabian
    Gratzke, Christian
    [J]. EUROPEAN UROLOGY FOCUS, 2022, 8 (02): : 409 - 417
  • [19] Artificial Intelligence for Automated Cancer Detection on Prostate MRI: Opportunities and Ongoing Challenges, From the AJR Special Series on AI Applications
    Turkbey, Baris
    Haider, Masoom A.
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2022, 219 (02) : 188 - 194
  • [20] Turkbey B, 2019, EUR UROL, V76, P340, DOI 10.1016/j.eururo.2019.02.033