The 1991 CEC Trial on Quality Criteria for Diagnostic Radiographic Images

Maccia, C.; Ariche-Cohen, M; Nadeau, X.; Severo, Gabriela de Campos

doi:10.1093/oxfordjournals.rpd.a082506

Cited by 15 publications

(6 citation statements)

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“…However, since the interpretation and diagnosis made from an X-ray involve subjective opinions from the radiologist, results are likely to vary at different centres. Guidelines have been set up by the European Commission (EC) for assessing the basic aspects of quality for clinical radiographic images dependent on technique and imaging performance [ 8 , 19 ]. This sets out diagnostic requirements against which the observer can judge an image.…”

Section: Assessment Of Radiation Dose and Image Qualitymentioning

confidence: 99%

Optimisation in general radiography

Martin

2007

Biomed. Imaging Interv. J.

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Radiography using film has been an established method for imaging the internal organs of the body for over 100 years. Surveys carried out during the 1980s identified a wide range in patient doses showing that there was scope for dosage reduction in many hospitals. This paper discusses factors that need to be considered in optimising the performance of radiographic equipment. The most important factor is choice of the screen/film combination, and the preparation of automatic exposure control devices to suit its characteristics. Tube potential determines the photon energies in the X-ray beam, with the selection involving a compromise between image contrast and the dose to the patient. Allied to this is the choice of anti-scatter grid, as a high grid ratio effectively removes the larger component of scatter when using higher tube potentials. However, a high grid ratio attenuates the X-ray beam more heavily. Decisions about grids and use of low attenuation components are particularly important for paediatric radiography, which uses lower energy X-ray beams. Another factor which can reduce patient dose is the use of copper filtration to remove more low-energy X-rays. Regular surveys of patient dose and comparisons with diagnostic reference levels that provide a guide representing good practice enable units for which doses are higher to be identified. Causes can then be investigated and changes implemented to address any shortfalls. Application of these methods has led to a gradual reduction in doses in many countries.

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Section: Assessment Of Radiation Dose and Image Qualitymentioning

confidence: 99%

Optimisation in general radiography

Martin

2007

Biomed. Imaging Interv. J.

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“…In the final training, there were 4500 ROI images of the lung field and mediastinum and 9000 ROI images of the spine. The supervision levels of the ROI images were rating-classified by experienced a chest radiologist with 14 years of experience using the European Guidelines on Quality Criteria for Diagnostic Radiographic Images [35][36][37] (Table 2, Fig. 2).…”

Section: Datasetmentioning

confidence: 99%

Calculating the target exposure index using a deep convolutional neural network and a rule base

et al. 2020

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The objective of this study is to determine the quality of chest X-ray images using a deep convolutional neural network (DCNN) and a rule base without performing any visual assessment. A method is proposed for determining the minimum diagnosable exposure index (EI) and the target exposure index (EIt). Methods: The proposed method involves transfer learning to assess the lung fields, mediastinum, and spine using GoogLeNet, which is a type of DCNN that has been trained using conventional images. Three detectors were created, and the image quality of local regions was rated. Subsequently, the results were used to determine the overall quality of chest X-ray images using a rule-based technique that was in turn based on expert assessment. The minimum EI required for diagnosis was calculated based on the distribution of the EI values, which were classified as either suitable or non-suitable and then used to ascertain the EIt. Results: The accuracy rate using the DCNN and the rule base was 81%. The minimum EI required for diagnosis was 230, and the EIt was 288. Conclusion: The results indicated that the proposed method using the DCNN and the rule base could discriminate different image qualities without any visual assessment; moreover, it could determine both the minimum EI required for diagnosis and the EIt.

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“…A comprehensive quality and safety culture including mechanisms for audit has been progressively developed through the European Union with regards to the medical use of ionizing radiation. This concept has been integrated into various branches for diagnosis and treatment [ 1 ].”…”

Section: Introductionmentioning

confidence: 99%

European guidelines on radiographic image quality in chiropractic practice – proposal of a cross-sectional graded classification reporting principle

et al. 2021

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Background The Commission of the European Communities (CEC) has published: European Guidelines on Quality Criteria for Diagnostic Radiographic Images. These guidelines are considered a gold standard, recommended for use in quality assurance protocols. The objectives of this study: 1) Propose a graded classification format for Danish chiropractic clinics according to the CEC-quality criteria for diagnostic radiographic images of the lumbar spine. 2) Propose a reporting principle for quality of radiographic images. 3) Document variation in radiation exposure among clinics. Methods This is a cross-sectional study of image quality based on random sampling from 148 chiropractic clinics. Clinics were included if using: 1) Digital radiography and 2) The chiropractic picture and archiving system (KirPACS) at the Nordic Institute of Chiropractic and Clinical Biomechanics (NIKKB) in Denmark. A sample of 296 lumbar spine series were randomly collected from KirPACS (January 2018). Two independent observers reviewed 50 lumbar spine series twice with a 4-week interval, testing intra- and inter-observer reproducibility. The same observers then reviewed the remaining 246 radiographic studies. All studies were evaluated using the CEC Quality Criteria. Patient radiation dose values were retrieved from KirPACS (First quarter of 2020). Results A reporting and classification principle of diagnostic image quality was used in 148 chiropractic clinics. Compliance with the 22 CEC Quality Criteria had proportions ranging from 0.72–0.96 for 18 criteria, while 4 criteria specifying detail and definition ranged between 0.20–0.66. The proposed rating system (A to E) revealed: 18 A clinics, 28 B clinics, 32 C clinics, 25 D clinics and 45 E clinics (A = highest quality; E = lowest quality). The patient radiation reference dose in Denmark is 7 mGy for the AP/PA lumbar spine. Very few clinics exceed the reference dose value, approximately 50% of clinics were below 5 mGy. Conclusion A reporting principle is proposed for a graded classification format based on the CEC-quality criteria for diagnostic radiographic images of the lumbar spine. The Quality Criteria are for the most part met satisfactorily in 148 Danish chiropractic clinics, but important image details are compromised, in most cases, because of low patient radiation doses. The results of a patient radiation dose survey enabled documentation of variation in radiation exposure among chiropractic clinics.

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The 1991 CEC Trial on Quality Criteria for Diagnostic Radiographic Images

Cited by 15 publications

References 0 publications

Optimisation in general radiography

Optimisation in general radiography

Calculating the target exposure index using a deep convolutional neural network and a rule base

European guidelines on radiographic image quality in chiropractic practice – proposal of a cross-sectional graded classification reporting principle

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