Literature DB >> 25825980

Simulated lesion, human observer performance comparison between thin-section dedicated breast CT images versus computed thick-section simulated projection images of the breast.

L Chen1, J M Boone, C K Abbey, J Hargreaves, C Bateni, K K Lindfors, K Yang, A Nosratieh, A Hernandez, P Gazi.   

Abstract

The objective of this study was to compare the lesion detection performance of human observers between thin-section computed tomography images of the breast, with thick-section (>40 mm) simulated projection images of the breast. Three radiologists and six physicists each executed a two alterative force choice (2AFC) study involving simulated spherical lesions placed mathematically into breast images produced on a prototype dedicated breast CT scanner. The breast image data sets from 88 patients were used to create 352 pairs of image data. Spherical lesions with diameters of 1, 2, 3, 5, and 11 mm were simulated and adaptively positioned into 3D breast CT image data sets; the native thin section (0.33 mm) images were averaged to produce images with different slice thicknesses; average section thicknesses of 0.33, 0.71, 1.5 and 2.9 mm were representative of breast CT; the average 43 mm slice thickness served to simulate simulated projection images of the breast.The percent correct of the human observer's responses were evaluated in the 2AFC experiments. Radiologists lesion detection performance was significantly (p < 0.05) better in the case of thin-section images, compared to thick section images similar to mammography, for all but the 1 mm lesion diameter lesions. For example, the average of three radiologist's performance for 3 mm diameter lesions was 92% correct for thin section breast CT images while it was 67% for the simulated projection images. A gradual reduction in observer performance was observed as the section thickness increased beyond about 1 mm. While a performance difference based on breast density was seen in both breast CT and the projection image results, the average radiologist performance using breast CT images in dense breasts outperformed the performance using simulated projection images in fatty breasts for all lesion diameters except 11 mm. The average radiologist performance outperformed that of the average physicist observer, however trends in performance were similar. Human observers demonstrate significantly better mass-lesion detection performance on thin-section CT images of the breast, compared to thick-section simulated projection images of the breast.

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Year:  2015        PMID: 25825980      PMCID: PMC4414405          DOI: 10.1088/0031-9155/60/8/3347

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  28 in total

1.  A comprehensive analysis of DgN(CT) coefficients for pendant-geometry cone-beam breast computed tomography.

Authors:  J M Boone; N Shah; T R Nelson
Journal:  Med Phys       Date:  2004-02       Impact factor: 4.071

2.  Contrast-enhanced dedicated breast CT: initial clinical experience.

Authors:  Nicolas D Prionas; Karen K Lindfors; Shonket Ray; Shih-Ying Huang; Laurel A Beckett; Wayne L Monsky; John M Boone
Journal:  Radiology       Date:  2010-09       Impact factor: 11.105

3.  Monte Carlo and phantom study of the radiation dose to the body from dedicated CT of the breast.

Authors:  Ioannis Sechopoulos; Srinivasan Vedantham; Sankararaman Suryanarayanan; Carl J D'Orsi; Andrew Karellas
Journal:  Radiology       Date:  2008-02-21       Impact factor: 11.105

4.  Digital breast tomosynthesis: observer performance study.

Authors:  David Gur; Gordon S Abrams; Denise M Chough; Marie A Ganott; Christiane M Hakim; Ronald L Perrin; Grace Y Rathfon; Jules H Sumkin; Margarita L Zuley; Andriy I Bandos
Journal:  AJR Am J Roentgenol       Date:  2009-08       Impact factor: 3.959

Review 5.  Measuring the accuracy of diagnostic systems.

Authors:  J A Swets
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

6.  Effect of slice thickness on detectability in breast CT using a prewhitened matched filter and simulated mass lesions.

Authors:  Nathan J Packard; Craig K Abbey; Kai Yang; John M Boone
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

7.  Comparison of receiver operating characteristic and forced choice observer performance measurement methods.

Authors:  A E Burgess
Journal:  Med Phys       Date:  1995-05       Impact factor: 4.071

8.  Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities.

Authors:  Lin Chen; Craig K Abbey; John M Boone
Journal:  Phys Med Biol       Date:  2013-02-19       Impact factor: 3.609

9.  Mammographic screening and mortality from breast cancer: the Malmö mammographic screening trial.

Authors:  I Andersson; K Aspegren; L Janzon; T Landberg; K Lindholm; F Linell; O Ljungberg; J Ranstam; B Sigfússon
Journal:  BMJ       Date:  1988-10-15

10.  Circle plus partial helical scan scheme for a flat panel detector-based cone beam breast X-ray CT.

Authors:  Dong Yang; Ruola Ning; Weixing Cai
Journal:  Int J Biomed Imaging       Date:  2009-12-31
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  3 in total

1.  Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Biomed Phys Eng Express       Date:  2020-09-28

2.  High-resolution μ CT imaging for characterizing microcalcification detection performance in breast CT.

Authors:  Andrew M Hernandez; Amy E Becker; Su Hyun Lyu; Craig K Abbey; John M Boone
Journal:  J Med Imaging (Bellingham)       Date:  2021-07-20

3.  Visual adaptation and the amplitude spectra of radiological images.

Authors:  Elysse Kompaniez-Dunigan; Craig K Abbey; John M Boone; Michael A Webster
Journal:  Cogn Res Princ Implic       Date:  2018-01-24
  3 in total

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