Literature DB >> 9494475

Influence of CT image size and format on accuracy of lung nodule detection.

S E Seltzer1, P F Judy, U Feldman, L Scarff, F L Jacobson.   

Abstract

PURPOSE: To evaluate the effect of reducing image size on observers' ability to detect lung nodules on computed tomographic (CT) scans.
MATERIALS AND METHODS: Stimuli were 80 single sections from 13 normal chest CT studies. On half of the images, 3-5-mm-diameter nodules were superimposed electronically at random locations. Four observers viewed images in six formats and sizes that ranged from 6 on 1 (133 x 133 mm) to 80 on 1 (40 x 40 mm). The images were viewed at a fixed distance of 55 cm and at an unrestricted, variable distance.
RESULTS: With the fixed viewing distance, nodule detection decreased with smaller image sizes. The area under the receiver operating characteristic curve (Az) decreased from 0.857 for the 6-on-1 format to 0.671 for the 80-on-1 format (P = .0001). With a variable viewing distance, Az decreased from 0.884 to 0.834 across all formats (difference not statistically significant). However, there was a significant drop in performance with the smallest images (P < .05). Overall, Az for the fixed and variable viewing distances was significantly different (P < .001).
CONCLUSION: Reducing image size leads to decreased lung nodule detection on CT scans viewed at a fixed distance; however, the observer can compensate for the smaller image by adjusting the viewing distance.

Mesh:

Year:  1998        PMID: 9494475     DOI: 10.1148/radiology.206.3.9494475

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

Review 1.  [Modern diagnosis of lung nodules].

Authors:  N D Abolmaali; T J Vogl
Journal:  Radiologe       Date:  2004-05       Impact factor: 0.635

2.  Investigation of optimal viewing size for detecting nodular ground-glass opacity on high-resolution computed tomography with cine-mode display.

Authors:  Michihiro Yamaguchi; Yuichi Bessho; Tatsuro Inoue; Yoshiyuki Asai; Tomoshige Matsumoto; Kenya Murase
Journal:  Radiol Phys Technol       Date:  2010-08-19

3.  Does preference influence performance when reading different sizes of cranial computed tomography?

Authors:  Antje C Venjakob; Tim Marnitz; Lavier Gomes; Claudia R Mello-Thoms
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-22

4.  Analog Computer-Aided Detection (CAD) information can be more effective than binary marks.

Authors:  Corbin A Cunningham; Trafton Drew; Jeremy M Wolfe
Journal:  Atten Percept Psychophys       Date:  2017-02       Impact factor: 2.199

Review 5.  Lung nodule and cancer detection in computed tomography screening.

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

6.  Diagnostic efficacy of handheld devices for emergency radiologic consultation.

Authors:  Rachel J Toomey; John T Ryan; Mark F McEntee; Michael G Evanoff; Dev P Chakraborty; Jonathan P McNulty; David J Manning; Edel M Thomas; Patrick C Brennan
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

7.  Investigation of optimal display size for viewing T1-weighted MR images of the brain using a digital contrast-detail phantom.

Authors:  Hideki Fujita; Nao Kuwahata; Hiroyuki Hattori; Hiroshi Kinoshita; Haruyuki Fukuda
Journal:  J Appl Clin Med Phys       Date:  2016-01-08       Impact factor: 2.102

  7 in total

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