Literature DB >> 8495570

The effect on apparent size of simulated pulmonary nodules of using three standard CT window settings.

K M Harris1, H Adams, D C Lloyd, D J Harvey.   

Abstract

This study was undertaken to determine whether three commonly used combinations of CT display window settings permit accurate measurement of pulmonary nodule size during thoracic CT examination. Forty-five rounded nodules of synthetic material of approximate soft tissue density (+70 Hounsfield units; HU), varying in size from 5.8 mm to 21.4 mm, were suspended in surgical gauze (-900 HU to -950 HU) to simulate pulmonary nodules. CT images were obtained for each nodule using 10 mm and 2 mm CT collimation and the size of each nodule was measured at three window settings: (a) 'soft tissue setting': window width (WW) 400 HU, window level (WL) +20 HU; (b) 'lung setting'. WW 850 HU, WL -750 HU; (c) 'broad lung setting': WW 1350 HU, WL -550 HU. Measurements obtained using either lung setting were highly accurate irrespective of collimation while measurements obtained using soft tissue settings were inaccurate. The choice of display window settings is an important consideration when CT is used to assess the size of pulmonary nodules.

Mesh:

Year:  1993        PMID: 8495570     DOI: 10.1016/s0009-9260(05)81130-4

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  7 in total

1.  Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study.

Authors:  Ted W Way; Heang-Ping Chan; Mitchell M Goodsitt; Berkman Sahiner; Lubomir M Hadjiiski; Chuan Zhou; Aamer Chughtai
Journal:  Phys Med Biol       Date:  2008-02-13       Impact factor: 3.609

2.  The importance of surrounding tissues and window settings for contouring of moving targets.

Authors:  Kai Joachim Borm; Markus Oechsner; Johannes Berndt; Stephanie Elisabeth Combs; Michael Molls; Marciana Nona Duma
Journal:  Strahlenther Onkol       Date:  2015-06-19       Impact factor: 3.621

3.  Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

Authors:  Jacob C Mandell; Bharti Khurana; Les R Folio; Hyewon Hyun; Stacy E Smith; Ruth M Dunne; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

4.  An orthotopic non-small cell lung cancer model for image-guided small animal radiotherapy platforms.

Authors:  Venus Sosa Iglesias; Stefan J van Hoof; Ana Vaniqui; Lotte Ejr Schyns; Natasja Lieuwes; Ala Yaromina; Linda Spiegelberg; Arjan J Groot; Frank Verhaegen; Jan Theys; Ludwig Dubois; Marc Vooijs
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

5.  Comparison of nodal irradiation dose using radiotherapy for patients with thoracic esophageal cancer.

Authors:  Ni Zhang; Min Gu; Jiahao Wang; Shixiu Wu
Journal:  Oncol Lett       Date:  2019-12-03       Impact factor: 2.967

6.  Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography.

Authors:  Michelle Hershman; Bardia Yousefi; Lacey Serletti; Maya Galperin-Aizenberg; Leonid Roshkovan; José Marcio Luna; Jeffrey C Thompson; Charu Aggarwal; Erica L Carpenter; Despina Kontos; Sharyn I Katz
Journal:  Cancers (Basel)       Date:  2021-11-28       Impact factor: 6.575

7.  Lesion measurement on a combined "all-in-one" window for chest CT: effect on intra- and interobserver variability.

Authors:  Annemiek Snoeckx; Jeroen Cant; Caro Franck; Elisa Luyckx; Ken Carpentier; Simon Nicolay; Astrid Van Hoyweghen; Maarten J Spinhoven; Pieter Vuylsteke; Paul M Parizel
Journal:  Cancer Imaging       Date:  2019-11-29       Impact factor: 3.909

  7 in total

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