Optimisation of radiological protocols for chest imaging using computed radiography and flat-panel X-ray detectors

Compagnone, G.; Baleni, M. Casadio; Nicola, E. Di; Valentino, Massimo; Benati, Mario; Calzolaio, L. F.; Oberhofer, Nadia; Fabbri, E.; Domenichelli, S.; Barozzi, Libero

doi:10.1007/s11547-012-0892-8

Cited by 9 publications

(10 citation statements)

References 30 publications

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“…All of these systems were developed for film/screen technology and their applicability to the digital systems is unknown as no literature was found. This is important because the materials used to construct the digital X‐ray system, particularly the receptor phosphors differs from film/screen; thus there will be variations in their response to X‐ray exposure . Since all of Australia and most of the developed world is now using digital radiography systems, there is a necessity for research in this field.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, once a digital‐specific system of exposure adaptation has been developed, it should be extended into an electronic form allowing it to be easily accessible and increasing the likelihood that it will be used. It could be a useful tool both in the university, as a teaching tool and in the work place as a patient optimisation tool …”

Section: Discussionmentioning

confidence: 99%

“…The transition from film/screen to digital technology for image acquisition in radiography departments has been progressing for 30 years . Digital radiography encompasses both computed radiography (CR) and direct digital radiography (DDR).…”

Section: Introductionmentioning

confidence: 99%

“…The transition from film/screen to digital technology for image acquisition in radiography departments has been progressing for 30 years. 1 Digital radiography encompasses both computed radiography (CR) and direct digital radiography (DDR). There are many advantages of digital imaging that make it preferable to film/screen technology, including digital storage and transfer of images, non-chemical processing, reusability, wider exposure latitude and post-processing algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Patient‐based radiographic exposure factor selection: a systematic review

Ching

Robinson

McEntee

2014

J of Medical Radiation Sci

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IntroductionDigital technology has wider exposure latitude and post-processing algorithms which can mask the evidence of underexposure and overexposure. Underexposure produces noisy, grainy images which can impede diagnosis and overexposure results in a greater radiation dose to the patient. These exposure errors can result from inaccurate adjustment of exposure factors in response to changes in patient thickness. This study aims to identify all published radiographic exposure adaptation systems which have been, or are being, used in general radiography and discuss their applicability to digital systems.MethodsStudies in EMBASE, MEDLINE, CINAHL and SCOPUS were systematically reviewed. Some of the search terms used were exposure adaptation, exposure selection, exposure technique, 25% rule, 15% rule, DuPont™ Bit System and radiography. A manual journal-specific search was also conducted in The Radiographer and Radiologic Technology. Studies were included if they demonstrated a system of altering exposure factors to compensate for variations in patients for general radiography. Studies were excluded if they focused on finding optimal exposures for an ‘average’ patient or focused on the relationship between exposure factors and dose.ResultsThe database search uncovered 11 articles and the journal-specific search uncovered 13 articles discussing systems of exposure adaptation. They can be categorised as simple one-step guidelines, comprehensive charts and computer programs.ConclusionOnly two papers assessed the efficacy of exposure adjustment systems. No literature compares the efficacy of exposure adaptations system for film/screen radiography with digital radiography technology nor is there literature on a digital specific exposure adaptation system.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Patient‐based radiographic exposure factor selection: a systematic review

Ching

Robinson

McEntee

2014

J of Medical Radiation Sci

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“…Figure 3 demonstrated a week linear relationship (r 2 =0.52) between the dose and image quality in chest X-ray imaging, consistent with a recent work of Tavares et al 18 . Other works appeared to have a logarithmic relationship 21,22 . A dose efficient index may be defined as the slope of the linear function between the image quality and the dose, which is the ratio of the image quality to radiation dose.…”

Section: Discussionmentioning

confidence: 99%

Optimal kVp in chest computed radiography using visual grading scores: a comparison between visual grading characteristics and ordinal regression analysis

2016

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The purposes of this work were to determine the optimal peak voltage for chest computed radiography (CR) using visual grading scores and to compare visual grading characteristics (VGC) and ordinal regression in visual grading analysis. An Afga CR system was used to acquire images of an anthropomorphic chest phantom. Both entrance surface dose and detector surface dose were measured using the Piranha 657 dosimeter. The images were acquired under various voltages from 80 to 120 kVp and exposures from 0.5 to 12.5 mAs. The image qualities were evaluated by 5 experienced radiologists/radiographers based on modified European imaging criteria using 1-5 visual grading scale. The VGC, ordinal regression as well as the conventional visual grading analysis (VGA) were employed for the image quality analysis. Both VGC and ordinal regression yielded the same results with both 100 kVp and 120 kVp producing the best image quality. The image quality of the 120 kVp was slightly higher than that of the 100 kVp but its dose was also higher than that of the 100kVp. On balancing image quality with dose, the 100 kVp should be the optimal kVp for the chest imaging using the Afga CR system. The ordinal regression is a powerful tool in the analysis of image quality using visual grading scores and the VGC can be handled by the ordinal regression.

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Dose reduction in digital radiography based on the significance of marginal contrast detectability

Scott

Zhou

Zhang

et al. 2021

J Applied Clin Med Phys

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The performance of three digital detectors was measured at two exposure index (EI) levels in terms of the effect on features at the borderline of detectability. The null hypothesis was that there would be no statistically significant difference in the CNR of marginally visible features of a baseline-(2.2 µGy) and reduced dose (1.4 µGy) images. The experiment used three digital detectors and a phantom composed of an aluminum contrast-recovery plate, with features of varying diameters and hole depths, which was placed between the detector/grid and 5-20 cm Lucite. Exposures were made using a kVp between 55 and 110 corresponding to the Lucite thickness and a mAs producing an EI of approximately 220 or 140. Images were acquired for all detectors, EI values, and all Lucite thicknesses, then scored by a team of physicists and technologists in terms of feature visibility for each feature size. Contrastto-noise ratio (CNR) was calculated for each feature using an ROI over the feature and a local background annulus. The uncertainty in the CNR was determined by sampling the background at each feature size, finding residuals from an overall background fit, and then calculating a standard deviation in the noise for each size. The marginal feature pair for each feature size bracketed the reader score. The difference between the CNR values of corresponding marginal features in EI-paired images was significant (P < 0.05) for one detector and not significant (P > 0.05) for marginal features of the other two. Based on both reader scoring and CNR measurements of phantoms, patient doses can be lowered by 30% for those two detectors without a statistically significant difference in lesion perceptibility of the marginally visible feature, while for the other detector there was a statistically significant change in marginal feature detectability and dose reduction was not recommended.

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Optimisation of radiological protocols for chest imaging using computed radiography and flat-panel X-ray detectors

Abstract: Generally, lowering tube potentials in chest examinations seems to allow better image quality/effective dose ratio when using digital equipment.

Cited by 9 publications

References 30 publications

Patient‐based radiographic exposure factor selection: a systematic review

Patient‐based radiographic exposure factor selection: a systematic review

Optimal kVp in chest computed radiography using visual grading scores: a comparison between visual grading characteristics and ordinal regression analysis

Dose reduction in digital radiography based on the significance of marginal contrast detectability

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