Searching for nodules: What features attract attention and influence detection?

Academic Radiology

Volumn 10, Issue 8, 2003, Pages 861-868

  Krupinski, Elizabeth A ^a   Berger, William G ^a   Dallas, William J ^a   Roehrig, Hans ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

Eye position; Pulmonary nodule detection; Visual search

Indexed keywords

ARTICLE; CALCIFICATION; CORRELATION ANALYSIS; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; EYE POSITION; HUMAN; IMAGE ANALYSIS; LUNG NODULE; PRIORITY JOURNAL; RADIOLOGIST; SIGNAL NOISE RATIO; TUMOR LOCALIZATION; TUMOR VOLUME; VISION;

EID: 0042527688     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1076-6332(03)00055-2     Document Type: Article

References (47)

1. Shaham D, Guralnik L. The solitary pulmonary nodule: radiologic considerations. Semin Ultrasound CT MR 2000; 21:97-115.
2. Garland LH. On scientific evaluation of diagnostic procedures. Radiology 1949; 52:309-328.
3. Garland LH. Studies on the accuracy of diagnostic procedures. AJR 1959; 82:25-37.
4. Bass JC, Chiles C. Visual skill: correlation with detection of solitary pulmonary nodules. Invest Radiol 1990; 25:994-998.
5. Herman PG, Hessel SJ. Accuracy and its relationship to experience in the interpretation of chest radiographs. Invest Radiol 1975; 10:62-67.
6. Kundel HL, LaFollette PS. Visual search patterns and experience with radiological images. Radiology 1972; 103:523-528.
7. Gale AG, Marray D, Miller K, Worthington BS. Circadian variation in radiology. In: Gale AG, Johnson F, eds. Theoretical and applied aspects of eye movement research. Amsterdam: Elsevier Science, 1984; 313-321.
8. Swensson RG, Hessel SJ, Herman PG. The value of searching films without specific preconceptions. Invest Radiol 1985; 20:100-107.
9. Berbaum KS, Franken EA, Anderson KL, et al. The influence of clinical history on visual search with single and multiple abnormalities. Invest Radiol 1993; 28:191-201.
10. Lewellyn-Thomas E, Lansdown EL. Visual search patterns of radiologists in training. Radiology 1963; 81:288-292.
11. deValk JPJ, Eijkman EGJ. Analysis of eye fixations during the diagnostic interpretation of chest radiographs. Med Biol Eng Comput 1984; 22:353-360.
12. Kelsey CA, Moseley RD, Brogdon BG, bhave DG, Hallberg J. Effect of size and position on chest lesion detection. AJR 1977; 129:205-208.
13. Kimme-Smith C, Hart EM, Goldin JG, Johnson TD, Terwilliger R, Aberle DR. Detection of simulated lung nodules with computed radiography: effects of nodule size, local optical density, global object thickness, and exposure. Acad Radiol 1996; 3:735-741.
14. Kundel HL, Revesz G, Toto L. Contrast gradient and the detection of lung nodules. Invest Radiol 1979; 14:18-22.
15. Revesz G, Kundel HL. Psychophysical studies of detection errors in chest radiology. Radiology 1977; 123:559-562.
16. Kundel HL, Revesz G. Lesion conspicuity, structured noise, and film reader error. AJR 1976; 126:1233-1238.
17. Kundel HL. Peripheral vision, structured noise and film reader error. Radiology 1975; 114:269-273.
18. Kundel HL, Revesz G. The influence of film density on the radiologic detection of lung lesions. Invest Radiol 1977; 12:199-200.
19. King JL, Gur D, Rockette HE, et al. Radiologists' confidence in detecting abnormalities on chest images and their subjective judgments of image quality. Proc SPIE Med Img 1991; 1446:268-275.
20. Berger WG, Erly WK, Krupinski EA, Standen JR, Stern RG. The solitary pulmonary nodule on chest radiography: can we really tell if the nodule is calcified? AJR 2001; 176:201-204.
21. Kundel HL, Nodine CF. Interpreting chest radiographs without visual search. Radiology 1975; 116:527-532.
22. Kundel HL, Nodine CF, Thickman D, Toto L. Searching for lung nodules: a comparison of human performance with random and systematic scanning models. Invest Radiol 1987; 22:417-422.
23. Kundel HL, Nodine CF, Toto L. Searching for lung nodules: the guidance of visual search. Invest Radiol 1991; 26:777-781.
24. Carmody DP, Nodine CF, Kundel HL. Finding lung nodules with and without comparative visual scanning. Percept Psychophys 1981; 29: 594-598.
25. Kundel HL, Nodine CF, Toto L. Eye movements and the detection of lung tumors in chest images. In: Gale AG, Johnson F, eds. Theoretical and Applied Aspects of Eye Movement Research. Amsterdam: Elsevier Science, 1984; 297-304.
26. Kundel HL. Visual sampling and estimates of the location of information on chest films. Invest Radiol 1974; 9:87-93.
27. Oestmann JW, Greene R, Kushner DC, et al. Lung lesions: correlation between viewing time and detection. Radiology 1988; 166:451-453.
28. Gur D, Rockette HE, Sumkin JH, et al. Correlations between time required for radiological diagnoses, readers' performance, display environments, and difficulty of cases. Proc SPIE Med Img 1991; 1446:284-288.
29. Kundel HL, Nodine CF, Carmody DP. Visual scanning, pattern recognition and decision making in pulmonary nodule detection. Invest Radiol 1978; 13:175-181.
30. Nodine CF, Kundel HL. The cognitive side of visual search in radiology. In: O'Regan JK, Levy-Schoen A, eds. Eye movements: from physiology to cognition. Amsterdam: Elsevier Science, 1987; 573-582.
31. Kundel HL, Nodine CF, Krupinski EA. Searching for lung nodules: visual dwell indicates locations of false-positive and false-negative decisions. Invest Radiol 1989; 24:472-478.
32. Roehrig H, Dallas WJ, Blume H, Sivarudrappa M. Software for CRT image quality evaluation. Proc SPIE Medical Imaging 2000; 3976:442-453.
33. Nodine CF, Kundel HL, Toto LC, Krupinski EA. Recording and analyzing eye-position data using a microcomputer workstation. Behav Res Methods Instrum Comput 1992; 24:475-485.
34. Mackworth NH. Stimulus density limits the useful field of view. In: Monty RA, Senders JW, eds. Eye movements and physiological processes. Hillsdsale, NJ: Erlbaum, 1976; 307-321.
35. Rehm K. Development and image quality assessment of a contrast-enhancement algorithm for display of digital chest radiographs [doctoral dissertation]. Tuscon, Ariz: The University of Arizona; 1992.
36. Blume H, Hemminger BM. Image presentation in digital radiology: perspectives on the emerging DICOM display function standard and its application. RadioGraphics 1997; 17:769-777.
37. Blesser B, Ozonoff D. A model for the radiologic process. Diagn Radiol 1972; 103:515-521.
38. White KP, Hutson TL, Hutchinson TE. Modeling human eye behavior during mammographic scanning: preliminary results. IEEE Trans Syst Man Cybern 1997; 27:494-505.
39. Hu CH, Kundel HL, Nodine CF, Krupinski EA, Toto LC. Searching for bone fractures: a comparison with pulmonary nodule search. Acad Radiol 1994; 1:25-32.
40. Krupinski EA. Visual scanning patterns of radiologists searching mammograms. Acad Radiol 1996; 3:137-144.
41. Sowden PT, Davies IRL, Roling P. Perceptual learning of the detection of features in x-ray images: a functional role for improvements in adults' visual sensitivity? J Exp Psychol 2000; 26:379-390.
42. Hillstrom AP. Repetition effects in visual search. Percept Psychophys 2000; 62:800-817.
43. D'Zmura M. Colour in visual search. Vision Res 1991; 31:951-966.
44. Bauer B, Jolicoeur P, Cowan WB. Visual search for colour targets that are or are not linearly separable from distractors. Vision Res 1996; 36: 1439-1465.
45. Hodsoll J, Humphreys GW. Driving attention with the top down: the relative contribution of target templates to the linear separability effect in the size dimension. Percept Psychophys 2001; 63:918-926.
46. Duncan J, Humphreys GW. Visual search and stimulus similarity. Psych Review 1989; 96:433-458.
47. Olds E, Degani MD. Does partial difficult search help difficult search? Percept Psychophys 2003; 65:238-253.