Literature DB >> 17874330

Characterization of radiologists' search strategies for lung nodule detection: slice-based versus volumetric displays.

Xiao Hui Wang1, Janet E Durick, Amy Lu, David L Herbert, Saraswathi K Golla, Kristin Foley, C Samia Piracha, Dilip D Shinde, Betty E Shindel, Carl R Fuhrman, Cynthia A Britton, Diane C Strollo, Sherry S Shang, Joan M Lacomis, Walter F Good.   

Abstract

The goal of this study was to assess whether radiologists' search paths for lung nodule detection in chest computed tomography (CT) between different rendering and display schemes have reliable properties that can be exploited as an indicator of ergonomic efficiency for the purpose of comparing different display paradigms. Eight radiologists retrospectively viewed 30 lung cancer screening CT exams, containing a total of 91 nodules, in each of three display modes [i.e., slice-by-slice, orthogonal maximum intensity projection (MIP) and stereoscopic] for the purpose of detecting and classifying lung nodules. Radiologists' search patterns in the axial direction were recorded and analyzed along with the location, size, and shape for each detected feature, and the likelihood that the feature is an actual nodule. Nodule detection performance was analyzed by employing free-response receiver operating characteristic methods. Search paths were clearly different between slice-by-slice displays and volumetric displays but, aside from training and novelty effects, not between MIP and stereographic displays. Novelty and training effects were associated with the stereographic display mode, as evidenced by differences between the beginning and end of the study. The stereo display provided higher detection and classification performance with less interpretation time compared to other display modes tested in the study; however, the differences were not statistically significant. Our preliminary results indicate a potential role for the use of radiologists' search paths in evaluating the relative ergonomic efficiencies of different display paradigms, but systematic training and practice is necessary to eliminate training curve and novelty effects before search strategies can be meaningfully compared.

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Year:  2007        PMID: 17874330      PMCID: PMC3043872          DOI: 10.1007/s10278-007-9076-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  24 in total

1.  The influence of a perceptually linearized display on observer performance and visual search.

Authors:  E A Krupinski; H Roehrig
Journal:  Acad Radiol       Date:  2000-01       Impact factor: 3.173

2.  Three-dimensional volume rendering of spiral CT data: theory and method.

Authors:  P S Calhoun; B S Kuszyk; D G Heath; J C Carley; E K Fishman
Journal:  Radiographics       Date:  1999 May-Jun       Impact factor: 5.333

Review 3.  Advances in vascular imaging.

Authors:  Vincent L Rowe; Sonny W Tucker
Journal:  Surg Clin North Am       Date:  2004-10       Impact factor: 2.741

4.  Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions.

Authors:  H L Kundel; C F Nodine; E A Krupinski
Journal:  Invest Radiol       Date:  1989-06       Impact factor: 6.016

Review 5.  Multidetector CT of bowel obstruction: value of post-processing.

Authors:  S Aufort; L Charra; A Lesnik; J M Bruel; P Taourel
Journal:  Eur Radiol       Date:  2005-04-15       Impact factor: 5.315

6.  Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware.

Authors:  David Levin; Usaf Aladl; Guido Germano; Piotr Slomka
Journal:  Comput Med Imaging Graph       Date:  2005-09       Impact factor: 4.790

Review 7.  Multiplanar and three-dimensional reconstruction techniques in CT: impact on chest diseases.

Authors:  J Remy; M Remy-Jardin; D Artaud; M Fribourg
Journal:  Eur Radiol       Date:  1998       Impact factor: 5.315

8.  Nature of expertise in searching mammograms for breast masses.

Authors:  C F Nodine; H L Kundel; S C Lauver; L C Toto
Journal:  Acad Radiol       Date:  1996-12       Impact factor: 3.173

9.  Searching for lung nodules. A comparison of human performance with random and systematic scanning models.

Authors:  H L Kundel; C F Nodine; D Thickman; L Toto
Journal:  Invest Radiol       Date:  1987-05       Impact factor: 6.016

10.  Classification of common acetabular fractures: radiographic and CT appearances.

Authors:  N Jarrod Durkee; Jon Jacobson; David Jamadar; Madhav A Karunakar; Yoav Morag; Curtis Hayes
Journal:  AJR Am J Roentgenol       Date:  2006-10       Impact factor: 3.959

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  4 in total

1.  Compare display schemes for lung nodule CT screening.

Authors:  Xiao Hui Wang; Janet E Durick; Amy Lu; David L Herbert; Carl R Fuhrman; Joan M Lacomis; Cynthia A Britton; Diane C Strollo; Sherry S Shang; Saraswathi K Golla; Walter F Good
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

Review 2.  Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging.

Authors:  Jessica C Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan
Journal:  J Magn Reson Imaging       Date:  2010-12       Impact factor: 4.813

Review 3.  Lung nodule and cancer detection in computed tomography screening.

Authors:  Geoffrey D Rubin
Journal:  J Thorac Imaging       Date:  2015-03       Impact factor: 3.000

4.  Evaluating interaction techniques for stack mode viewing.

Authors:  M Stella Atkins; Jennifer Fernquist; Arthur E Kirkpatrick; Bruce B Forster
Journal:  J Digit Imaging       Date:  2008-07-23       Impact factor: 4.056

  4 in total

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