Incidental Pulmonary Nodule Management Using Computer Assisted Detection and Patient Tracking: PINPOINT Project, Pilot Data

被引:0
|
作者
Leliveld, A. [1 ]
Willems, B. [1 ,2 ]
van Beek, E. J. R. [3 ]
Gorospe, L. [4 ]
Veltri, A. [5 ]
Visser, J. J. [1 ]
Scagliotti, G. V. [5 ]
Aerts, J. G. J. V. [1 ]
机构
[1] Erasmus MC, Univ Med Ctr, Rotterdam, Netherlands
[2] AstraZeneca, The Hague, Netherlands
[3] Univ Edinburgh, Edinburgh Imaging, QMRI, Edinburgh, Midlothian, Scotland
[4] Hosp Univ Ramon & Cajal, Madrid, Spain
[5] Univ Turin, San Luigi Hosp, Turin, Italy
关键词
Early detection of lung cancer; Computer Assisted Detection; Incidental Pulmonary Nodules;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
P4.04C.01
引用
收藏
页码:S366 / S366
页数:1
相关论文
共 44 条
  • [21] Computer assisted detection (CAD) of pulmonary nodules on thoracic CT scans using image processing and classification techniques
    Dehmeshki, J
    Valdivieso-Casique, M
    Siddique, M
    Dehkordi, ME
    Costello, J
    Roddie, ME
    MEDICAL IMAGING 2004: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT, 2004, 5372 : 471 - 475
  • [22] Noninvasive Characterization of the Histopathologic Features of Pulmonary Nodules of the Lung Adenocarcinoma Spectrum using Computer-Aided Nodule Assessment and Risk Yield (CANARY)-A Pilot Study
    Maldonado, Fabien
    Boland, Jennifer M.
    Raghunath, Sushravya
    Aubry, Marie Christine
    Bartholmai, Brian J.
    deAndrade, Mariza
    Hartman, Thomas E.
    Karwoski, Ronald A.
    Rajagopalan, Srinivasan
    Sykes, Anne-Marie
    Yang, Ping
    Yi, Eunhee S.
    Robb, Richard A.
    Peikert, Tobias
    JOURNAL OF THORACIC ONCOLOGY, 2013, 8 (04) : 452 - 460
  • [23] Impact of computer-assisted data collection, evaluation and management on the cancer genetic counselor’s time providing patient care
    Stephanie A. Cohen
    Dawn E. McIlvried
    Familial Cancer, 2011, 10 : 381 - 389
  • [24] Impact of computer-assisted data collection, evaluation and management on the cancer genetic counselor's time providing patient care
    Cohen, Stephanie A.
    McIlvried, Dawn E.
    FAMILIAL CANCER, 2011, 10 (02) : 381 - 389
  • [25] Assessment of Lung Nodule Detection and Lung CT Screening Reporting and Data System Classification Using Zero Echo Time Pulmonary MRI
    Wang, Xinhui
    Cui, Yingying
    Wang, Ying
    Liu, Shuo
    Meng, Nan
    Wei, Wei
    Bai, Yan
    Shen, Yu
    Guo, Jinxia
    Guo, Zhiping
    Wang, Meiyun
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2025, 61 (02) : 822 - 829
  • [26] Data-Driven Decision Support for Radiologists: Re-using the National Lung Screening Trial Dataset for Pulmonary Nodule Management
    Morrison, James J.
    Hostetter, Jason
    Wang, Kenneth
    Siegel, Eliot L.
    JOURNAL OF DIGITAL IMAGING, 2015, 28 (01) : 18 - 23
  • [27] Data-Driven Decision Support for Radiologists: Re-using the National Lung Screening Trial Dataset for Pulmonary Nodule Management
    James J. Morrison
    Jason Hostetter
    Kenneth Wang
    Eliot L. Siegel
    Journal of Digital Imaging, 2015, 28 : 18 - 23
  • [28] Using a personal digital assistant enhances gathering of patient data on an acute pain management service: a pilot study
    VanDenKerkhof, EG
    Goldstein, DH
    Lane, J
    Rimmer, NJ
    Van Dijk, JP
    CANADIAN JOURNAL OF ANAESTHESIA-JOURNAL CANADIEN D ANESTHESIE, 2003, 50 (04): : 368 - 375
  • [29] Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction
    Farhangi, Mohammad Mehdi
    Maynord, Michael
    Fermuller, Cornelia
    Aloimonos, Yiannis
    Sahiner, Berkman
    Petrick, Nicholas
    JOURNAL OF MEDICAL IMAGING, 2024, 11 (04)
  • [30] Better performance of deep learning pulmonary nodule detection using chest radiography with pixel level labels in reference to computed tomography: data quality matters
    Kim, Jae Yong
    Ryu, Wi-Sun
    Kim, Dongmin
    Kim, Eun Young
    SCIENTIFIC REPORTS, 2024, 14 (01):