Literature DB >> 10658696

Liver and bone window settings for soft-copy interpretation of chest and abdominal CT.

S M Pomerantz1, C S White, T L Krebs, B Daly, S A Sukumar, F Hooper, E L Siegel.   

Abstract

OBJECTIVE: We evaluated whether the use of multiple window and level settings on a soft-copy workstation improves diagnostic accuracy on chest and abdominal CT. We hypothesized that routinely using window and level settings during soft-copy interpretation would beneficially affect the final diagnosis without compromising efficiency.
MATERIALS AND METHODS: Two hundred three randomly selected abdominal and chest CT scans were interpreted by three radiologists using a four-monitor soft-copy workstation (images per screen, nine; resolution, 2K). After the initial interpretations, all scans were reevaluated by the same radiologists using additional liver and bone window and level settings. Differences in conspicuity and characterization of abnormalities were graded on a three-point scale.
RESULTS: Conspicuity and characterization of abnormalities were improved in 67% of abnormal findings (81/121; p = 0.01). Improvement (a finding that substantially affected the final diagnosis) was present in 18% of abnormal findings (22/121; p = 0.04). On average, the evaluation of images at multiple window and level settings required an additional 40 sec per case.
CONCLUSION: The use of multiple window and level settings during soft-copy interpretation resulted in improved lesion detectability and characterization with greater diagnostic efficacy. Using soft-copy workstations, radiologists can evaluate images using multiple settings without compromising efficiency.

Mesh:

Year:  2000        PMID: 10658696     DOI: 10.2214/ajr.174.2.1740311

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

Review 1.  Evolution of the digital revolution: a radiologist perspective.

Authors:  Bruce I Reiner; Eliot L Siegel; Khan Siddiqui
Journal:  J Digit Imaging       Date:  2004-01-30       Impact factor: 4.056

2.  Large-scale medical image annotation with crowd-powered algorithms.

Authors:  Eric Heim; Tobias Roß; Alexander Seitel; Keno März; Bram Stieltjes; Matthias Eisenmann; Johannes Lebert; Jasmin Metzger; Gregor Sommer; Alexander W Sauter; Fides Regina Schwartz; Andreas Termer; Felix Wagner; Hannes Götz Kenngott; Lena Maier-Hein
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-08

3.  Methods for optimizing the display conditions of brain magnetic resonance images.

Authors:  Toshimasa Hara; Yusuke Inoue; Ryutaro Ukisu; Hirofumi Hata
Journal:  Jpn J Radiol       Date:  2017-07-20       Impact factor: 2.374

4.  Diagnostic errors when interpreting abdominopelvic computed tomography: a pictorial review.

Authors:  Seong Jong Yun; Hyun Cheol Kim; Dal Mo Yang; Sang Won Kim; Sun Jung Rhee; Sung Eun Ahn
Journal:  Br J Radiol       Date:  2017-03-31       Impact factor: 3.039

5.  Stochastic tissue window normalization of deep learning on computed tomography.

Authors:  Yuankai Huo; Yucheng Tang; Yunqiang Chen; Dashan Gao; Shizhong Han; Shunxing Bao; Smita De; James G Terry; Jeffrey J Carr; Richard G Abramson; Bennett A Landman
Journal:  J Med Imaging (Bellingham)       Date:  2019-11-20

6.  A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization.

Authors:  Ali Morshid; Khaled M Elsayes; Ahmed M Khalaf; Mohab M Elmohr; Justin Yu; Ahmed O Kaseb; Manal Hassan; Armeen Mahvash; Zhihui Wang; John D Hazle; David Fuentes
Journal:  Radiol Artif Intell       Date:  2019-09-25

7.  Is targeted reconstruction necessary for evaluating contrast-enhanced chest computed tomography using a liquid crystal display monitor?

Authors:  Yoshiyuki Ozawa; Masaki Hara; Hidekazu Oshima; Masanori Kitase; Kazuya Ohashi; Yuta Shibamoto
Journal:  Radiat Med       Date:  2008-10-31

8.  Thoracic Temporal Subtraction Three Dimensional Computed Tomography (3D-CT): Screening for Vertebral Metastases of Primary Lung Cancers.

Authors:  Shingo Iwano; Rintaro Ito; Hiroyasu Umakoshi; Takatoshi Karino; Tsutomu Inoue; Yuanzhong Li; Shinji Naganawa
Journal:  PLoS One       Date:  2017-01-17       Impact factor: 3.240

9.  Bone Windows for Distinguishing Malignant from Benign Primary Bone Tumors on FDG PET/CT.

Authors:  Colleen M Costelloe; Hubert H Chuang; Beth A Chasen; Tinsu Pan; Patricia S Fox; Roland L Bassett; John E Madewell
Journal:  J Cancer       Date:  2013-08-09       Impact factor: 4.207

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.