Literature DB >> 17057066

Detection of simulated nodules on clinical radiographs: dose reduction at digital posteroanterior chest radiography.

Lucia J M Kroft1, Wouter J H Veldkamp, Bart J A Mertens, Jan Pieter A van Delft, Jacob Geleijns.   

Abstract

PURPOSE: To determine to what extent dose reduction results in decreased detection of simulated nodules on patient digital posteroanterior (PA) chest radiographs.
MATERIALS AND METHODS: Raw data from 20 clinical digital PA chest images that were reported as having normal findings and that were obtained with a slot-scan charge-coupled device system were used. For research protocol that concerns data with patient identities concealed, institutional review board approval is not required. One hundred twenty nodules varying in size and signal intensity were digitally simulated and added to the chest images. Hard copies were printed to represent a 100% dose and, by adding noise, to represent simulated patient doses of 50%, 25%, and 12%. Four radiologists reviewed images. Each lesion was registered as "detected" or "not detected." A semiparametric logistic regression model was used for statistical analysis.
RESULTS: The decrease in radiation dose from 100% to 50%, 25%, or 12% had no effect on lesion detection in the lungs. The decrease in radiation dose had an effect on lesion detection in the mediastinum, as probabilities deteriorated from the 100% dose to the 50%, 25%, and 12% dose with each step. Probabilities of smaller detection rates when compared with that of the reference category (100% dose) were 0.97 (95% confidence interval [CI]: -0.86, 0.012) for the 50% dose, 1 (CI: -0.59, -0.61) for the 25% dose, and 1 (CI: -2.41, -1.22) for the 12% dose. CIs for the effects were on the log(odds). Detection probability decreased with smaller and lower signal intensity lesions.
CONCLUSION: At clinical digital radiography, dose reduction resulted in decreased observer detection of simulated nodules in the mediastinum but not in the lungs.

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Year:  2006        PMID: 17057066     DOI: 10.1148/radiol.2412051326

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


  3 in total

1.  Method for simulating dose reduction in digital mammography using the Anscombe transformation.

Authors:  Lucas R Borges; Helder C R de Oliveira; Polyana F Nunes; Predrag R Bakic; Andrew D A Maidment; Marcelo A C Vieira
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

Review 2.  Digital chest radiography: an update on modern technology, dose containment and control of image quality.

Authors:  Cornelia Schaefer-Prokop; Ulrich Neitzel; Henk W Venema; Martin Uffmann; Mathias Prokop
Journal:  Eur Radiol       Date:  2008-04-23       Impact factor: 5.315

3.  Radiation dose reduction and improvement of image quality in digital chest radiography by new spatial noise reduction algorithm.

Authors:  Wonje Lee; Seungho Lee; Semin Chong; Kyungmin Lee; Jongha Lee; Jae Chol Choi; Changwon Lim
Journal:  PLoS One       Date:  2020-02-21       Impact factor: 3.240

  3 in total

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