A Computer-Aided Diagnosis for Evaluating Lung Nodules on Chest CT: the Current Status and Perspective

被引:60
|
作者
Goo, Jin Mo [1 ,2 ]
机构
[1] Seoul Natl Univ, Coll Med, Dept Radiol, Seoul 110744, South Korea
[2] Seoul Natl Univ, Med Res Ctr, Inst Radiat Med, Seoul 110744, South Korea
关键词
Computed tomography (CT); Lung nodule; Computer-aided diagnosis; Volumetry; Follow-up; SMALL PULMONARY NODULES; GROUND-GLASS OPACITY; MULTIDETECTOR ROW CT; IMAGE-RECONSTRUCTION PARAMETERS; FOLLOW-UP; VOLUMETRIC MEASUREMENTS; DETECTION SYSTEM; RADIOLOGIST PERFORMANCE; DIFFERENTIATING BENIGN; PRELIMINARY EXPERIENCE;
D O I
10.3348/kjr.2011.12.2.145
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
As the detection and characterization of lung nodules are of paramount importance in thoracic radiology, various tools for making a computer-aided diagnosis (CAD) have been developed to improve the diagnostic performance of radiologists in clinical practice. Numerous studies over the years have shown that the CAD system can effectively help readers identify more nodules. Moreover, nodule malignancy and the response of malignant Lung tumors to treatment can also be assessed using nodule volumetry. CAD also has the potential to objectively analyze the morphology of nodules and enhance the workflow during the assessment of follow-up studies. Therefore, understanding the current status and limitations of CAD for evaluating lung nodules is essential to effectively apply CAD in clinical practice.
引用
收藏
页码:145 / 155
页数:11
相关论文
共 50 条
  • [41] Computer-aided detection of lung nodules: a review
    Shaukat, Furqan
    Raja, Gulistan
    Frangi, Alejandro F.
    JOURNAL OF MEDICAL IMAGING, 2019, 6 (02)
  • [42] Computer-aided diagnosis of small pulmonary nodules
    Reeves, AP
    Kostis, WJ
    SEMINARS IN ULTRASOUND CT AND MRI, 2000, 21 (02) : 116 - 128
  • [43] Current status and future directions of computer-aided diagnosis in mammography
    Nishikawa, Robert A.
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2007, 31 (4-5) : 224 - 235
  • [44] Computer-aided diagnosis system for lung cancer screening by CT
    Jiang, H
    Yamamoto, S
    Iisaku, S
    Matsumoto, M
    Tateno, Y
    Iinuma, T
    Matsumoto, T
    COMPUTER-AIDED DIAGNOSIS IN MEDICAL IMAGING, 1999, 1182 : 125 - 130
  • [45] Computer-Aided Segmentation and Volumetry of Artificial Ground-Glass Nodules at Chest CT
    Scholten, Ernst Th.
    Jacobs, Colin
    van Ginneken, Bram
    Willemink, Martin J.
    Kuhnigk, Jan-Martin
    van Ooijen, Peter M. A.
    Oudkerk, Matthijs
    Mali, Willem P. Th. M.
    de Jong, Pim A.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2013, 201 (02) : 295 - 300
  • [46] Autonomous Detection of Solitary Pulmonary Nodules on CT Images for Computer-Aided Diagnosis
    Wei Ying
    Jia Tong
    Lin Ming-xiu
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 4054 - 4059
  • [47] Computer-aided diagnosis in chest radiography: A survey
    van Ginneken, B
    Romeny, BMTH
    Viergever, MA
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (12) : 1228 - 1241
  • [48] Computer-aided diagnosis and volumetry of pulmonary nodules: Current concepts and future perspectives
    Marten, K
    Rummeny, EJ
    Engelke, C
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2005, 177 (02): : 188 - 196
  • [49] Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules
    Zhu, Peifei
    Ogino, Masahiro
    INTERPRETABILITY OF MACHINE INTELLIGENCE IN MEDICAL IMAGE COMPUTING AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, 2020, 11797 : 39 - 47
  • [50] Application value of a computer-aided diagnosis and management system for the detection of lung nodules
    Chen, Jingwen
    Cao, Rong
    Jiao, Shengyin
    Dong, Yunpeng
    Wang, Zilong
    Zhu, Hua
    Luo, Qian
    Zhang, Lei
    Wang, Han
    Yin, Xiaorui
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (10) : 6929 - +