Detection of subtle abnormalities on chest radiographs after irreversible compression

被引:42
|
作者
Savcenko, V
Erickson, BJ
Palisson, PM
Persons, KR
Manduca, A
Hartman, TE
Harms, GF
Brown, LR
机构
[1] Mayo Clin & Mayo Fdn, Dept Diagnost Radiol, Rochester, MN 55905 USA
[2] Mayo Clin & Mayo Fdn, Dept Informat Serv, Rochester, MN 55905 USA
[3] Mayo Clin & Mayo Fdn, Dept Biomath Resource, Rochester, MN 55905 USA
关键词
images; storage and retrieval; radiography; technology; thorax;
D O I
10.1148/radiology.206.3.9494474
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
PURPOSE: To assess the effect of wavelet-based compression of posteroanterior chest radiographs on detection of small uncalcified pulmonary nodules and fibrosis. MATERIALS AND METHODS: Computed tomography (CT) of the chest was used to identify 20 patients with normal posteroanterior chest radiographs, 20 with a solitary uncalcified pulmonary nodule 1-2 cm in diameter, and 20 with fibrotic disease. A double-blind protocol for readings of original images and images compressed at 40:1 and 80:1 was analyzed by using the nonparametric receiver operating characteristic to measure differences in diagnostic accuracy and their statistical significance. RESULTS: There was no substantial differences in the overall diagnostic accuracy (measured by the area under the curve index) for both nodules and fibrosis between images compressed at 40:1 and 80:1 and uncompressed images. Readers tended to perform better on images compressed at 40:1 compared with uncompressed images. The "high-sensitivity" portion of the 80:1 compression curve for nodules was below that for the uncompressed curve, although this was not statistically significant. CONCLUSION: Lossy compression of chest radiographs at 40:1 can be used without decreased diagnostic accuracy for detection of pulmonary nodules and fibrosis. There is no statistically significant difference in diagnostic accuracy at 80:1 compression, but detection ability is decreased.
引用
收藏
页码:609 / 616
页数:8
相关论文
共 50 条
  • [21] Contralateral subtraction of digital chest radiographs for detection of subtle lung nodules by using an elastic matching technique
    Li, Q
    Katsuragawa, S
    Doi, K
    CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2000, 1214 : 804 - 808
  • [22] Development of a computerized scheme for detection of very subtle lung nodules located in opaque areas on chest radiographs
    Shiraishi, Junji
    Li, Qiang
    Doi, Kunio
    MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144
  • [23] Influence of monitor luminance change on observer performance for detection of abnormalities depicted on chest radiographs
    Ikeda, M
    Ishigaki, T
    Shimamoto, K
    Kodera, Y
    Koyama, S
    Usami, H
    Kato, K
    INVESTIGATIVE RADIOLOGY, 2003, 38 (01) : 57 - 63
  • [24] Visually lossless compression of digital chest radiographs
    Slone, RM
    Hendrickson, DD
    Bhalla, S
    Fisher, AJ
    Kaltman, SL
    Woodard, PK
    RADIOLOGY, 1998, 209P : 411 - 411
  • [25] SUBTLE LUNG CANCERS - IMPACT OF EDGE ENHANCEMENT AND GRAY SCALE REVERSAL ON DETECTION WITH DIGITIZED CHEST RADIOGRAPHS
    OESTMANN, JW
    KUSHNER, DC
    BOURGOUIN, PM
    LLEWELLYN, HJ
    MOCKBEE, BW
    GREENE, R
    RADIOLOGY, 1988, 167 (03) : 657 - 658
  • [26] AI-based Detection of Vertebral Compression Fractures within Frontal Chest Radiographs
    Jeong, Jinhoon
    Kim, Minje
    Lee, Gaeun
    Bae, Sung Jin
    Koh, Jung-Min
    Jang, Miso
    JOURNAL OF BONE AND MINERAL RESEARCH, 2024, 39 : 13 - 13
  • [27] Cardiovascular abnormalities in chest radiographs of children with pneumonia, Uganda
    Nabawanuka, Eva
    Ameda, Faith
    Erem, Geoffrey
    Bugeza, Samuel
    Opoka, Ro
    Kiguli, Sarah
    Amorut, Denis
    Aloroker, Florence
    Olupot-Olupot, P.
    Mnjalla, Hellen
    Mpoya, Ayub
    Maitland, Kathryn
    ARABIAN JOURNAL OF CHEMISTRY, 2023, 16 (04) : 202 - 210
  • [28] Cardiovascular abnormalities in chest radiographs of children with pneumonia, Uganda
    Nabawanuka, Eva
    Ameda, Faith
    Erem, Geoffrey
    Bugeza, Samuel
    Opoka, R. O.
    Kiguli, Sarah
    Amorut, Denis
    Aloroker, Florence
    Olupot-Olupot, P.
    Mnjalla, Hellen
    Mpoyae, Ayub
    Maitland, Kathryn
    BULLETIN OF THE WORLD HEALTH ORGANIZATION, 2023, 101 (03) : 202 - 210
  • [29] Did I Miss That: Subtle and Commonly Missed Findings on Chest Radiographs
    Ropp, Alan
    Waite, Stephen
    Reede, Deborah
    Patel, Jay
    CURRENT PROBLEMS IN DIAGNOSTIC RADIOLOGY, 2015, 44 (03) : 277 - 289
  • [30] Comparison of radiologist and CAD performance in the detection of CT-confirmed subtle pulmonary nodules on digital chest radiographs
    Bley, Thorsten Alexander
    Baumann, Tobias
    Saueressig, Ulrich
    Pache, Gregor
    Treier, Markus
    Schaefer, Oliver
    Neitzel, Ulrich
    Langer, Mathias
    Kotter, Elmar
    INVESTIGATIVE RADIOLOGY, 2008, 43 (06) : 343 - 348