Volumetric assessment of emphysema on low-dose screening CT scans

被引:2
|
作者
Kostis, WJ [1 ]
Fluture, SC [1 ]
Farooqi, AO [1 ]
Yankelevitz, DF [1 ]
Henschke, CI [1 ]
机构
[1] Cornell Univ, Weill Med Coll, New York, NY 10021 USA
关键词
computer-aided diagnosis; low-dose CT; emphysema; pulmonary disease; screening;
D O I
10.1117/12.481421
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A study was performed to test whether automated computer analysis of low-dose helical CT scans can accurately estimate the degree of emphysema. We characterized the severity of emphysema on low-dose high-resolution (2.5 mm slice thickness) CT scans into 4 categories (normal, mild, moderate, and severe) as determined by a thoracic radiologist. From our database we chose 80 cases (20 within each category) for analysis. Our analysis system segments the lung parenchyma from surrounding structures and computes an emphysema index as the volumetric percentage of emphysema for the entire lung volume using a dual thresholding technique. One-way analysis of variance was used to assess the emphysema index. For those cases classified as normal, the emphysema index was 11.74 +/- 1.24 (mean +/- sem), for mild it was 15.00 +/- 1.31, for moderate it was 16.91 +/- 1.72, and for severe it was 26.77 +/- 1.73. The differences were statistically significant (p < 0.0001) and showed an increasing score with increasing severity of emphysema. Our system provides a useful index of the degree of emphysema present. Use of the system allows subjects undergoing lung cancer screening studies to have the extent of their emphysema quantified on a year-to-year basis.
引用
收藏
页码:827 / 834
页数:8
相关论文
共 50 条
  • [21] Synthetization of high-dose images using low-dose CT scans
    Hsieh, Jiang
    MEDICAL PHYSICS, 2024, 51 (01) : 113 - 125
  • [22] Co-occurrence of bronchiectasis, airway wall thickening, and emphysema in Chinese low-dose CT screening
    Nie, Zhenhui
    Vonder, Marleen
    de Vries, Maaike
    Yang, Xiaofei
    Oudkerk, Matthijs
    Slebos, Dirk-Jan
    Ye, Zhaoxiang
    Dorrius, Monique D.
    de Bock, Geertruida H.
    EUROPEAN RADIOLOGY, 2025,
  • [23] Deep-learning for Automated Volumetric Bone Mineral Density Measurement from Low-Dose Lung Cancer Screening CT scans: Comparison with DEXA
    Hatt, Charles
    Dyer, Debra
    Regan, Elizabeth
    JOURNAL OF BONE AND MINERAL RESEARCH, 2023, 38 : 322 - 322
  • [24] The importance of low-dose CT screening to identify emphysema in asymptomatic participants with and without a prior diagnosis of COPD
    Steiger, David
    Siddiqi, M. Faisal
    Yip, Rowena
    Yankelevitz, David F.
    Henschke, Claudia, I
    CLINICAL IMAGING, 2021, 78 : 136 - 141
  • [25] Comparison of Biophysical Factors Influencing on Emphysema Quantification with Low-dose CT
    Heo, Chang Yong
    Kim, Jong Hyo
    MEDICAL IMAGING 2014: COMPUTER-AIDED DIAGNOSIS, 2014, 9035
  • [26] Local noise reduction for emphysema scoring in low-dose CT images
    Schilham, A
    Prokop, M
    Gietema, H
    van Ginneken, B
    Medical Imaging 2005: Image Processing, Pt 1-3, 2005, 5747 : 921 - 929
  • [27] Image Quality Measurement for Low-Dose Human Lung CT Scans
    Bognar, Gergo
    2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2015, : 587 - 591
  • [28] Simulation of Ultra Low-Dose Scans In Quantum Counting Clinical CT
    Weidinger, Thomas
    Buzug, Thorsten M.
    Flohr, Thomas
    Fung, George S. K.
    Kappler, Steffen
    Stierstorfer, Karl
    Tsui, Benjamin M. W.
    2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2011, : 2495 - 2499
  • [29] Segmentation and suppression of pulmonary vessels in low-dose chest CT scans
    Gu, Xiaomeng
    Wang, Jiyong
    Zhao, Jun
    Li, Qiang
    MEDICAL PHYSICS, 2019, 46 (08) : 3603 - 3614
  • [30] Bronchiectasis in Low-Dose CT Screening for Lung Cancer
    Cai, Qiang
    Triphuridet, Natthaya
    Zhu, Yeqing
    You, Nan
    Yip, Rowena
    Yankelevitz, David F.
    Henschke, Claudia, I
    RADIOLOGY, 2022, 304 (02) : 437 - 447