How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?

OBJECTIVES: To study how radiologists' perceived ability to interpret digital mammography (DM) images is affected by decreases in image quality. METHODS: One view from 45 DM cases (including 30 cancers) was degraded to six levels each of two acquisition-related issues (lower spatial resolution and increased quantum noise) and three post-processing-related issues (lower and higher contrast and increased correlated noise) seen during clinical evaluation of DM systems. The images were shown to fifteen breast screening radiologists from five countries. Aware of lesion location, the radiologists selected the most-degraded mammogram (indexed from 1 (reference) to 7 (most degraded)) they still felt was acceptable for interpretation. The median selected index, per degradation type, was calculated separately for calcification and soft tissue (including normal) cases. Using the two-sided, non-parametric Mann-Whitney test, the median indices for each case and degradation type were compared. RESULTS: Radiologists were not tolerant to increases (medians: 1.5 (calcifications) and 2 (soft tissue)) or decreases (median: 2, for both types) in contrast, but were more tolerant to correlated noise (median: 3, for both types). Increases in quantum noise were tolerated more for calcifications than for soft tissue cases (medians: 3 vs. 4, p = 0.02). Spatial resolution losses were considered less acceptable for calcification detection than for soft tissue cases (medians: 3.5 vs. 5, p = 0.001). CONCLUSIONS: Perceived ability of radiologists for image interpretation in DM was affected not only by image acquisition-related issues but also by image post-processing issues, and some of those issues affected calcification cases more than soft tissue cases. KEY POINTS: • Lower spatial resolution and increased quantum noise affected the radiologists' perceived ability to interpret calcification cases more than soft tissue lesion or normal cases. • Post-acquisition image processing-related effects, not only image acquisition-related effects, also impact the perceived ability of radiologists to interpret images and detect lesions. • In addition to current practices, post-acquisition image processing-related effects need to also be considered during the testing and evaluation of digital mammography systems

Validation of a candidate instrument to assess image quality in digital mammography using ROC analysis

PurposeTo validate a candidate instrument, to be used by different professionals to assess image quality in digital mammography (DM), against detection performance results.MethodsA receiver operating characteristics (ROC) study was conducted to assess the detection performance in DM images with four different image quality levels due to different quality issues. Fourteen expert breast radiologists from five countries assessed a set of 80 DM cases, containing 60 lesions (40 cancers, 20 benign findings) and 20 normal cases. A visual grading analysis (VGA) study using a previously-described candidate instrument was conducted to evaluate a subset of 25 of the images used in the ROC study. Eight radiologists that had participated in the ROC study, and seven expert breast-imaging physicists, evaluated this subset. The VGA score (VGAS) and the ROC and visual grading characteristics (VGC) areas under the curve (AUCROC and AUCVGC) were compared.ResultsNo large differences in image quality among the four levels were detected by either ROC or VGA studies. However, the ranking of the four levels was consistent: level 1 (partial AUCROC: 0.070, VGAS: 6.77) performed better than levels 2 (0.066, 6.15), 3 (0.061, 5.82), and 4 (0.062, 5.37). Similarity between radiologists’ and physicists’ assessments was found (average VGAS difference of 10 %).ConclusionsThe results from the candidate instrument were found to correlate with those from ROC analysis, when used by either observer group. Therefore, it may be used by different professionals, such as radiologists, radiographers, and physicists, to assess clinically-relevant image quality variations in DM

Comparison of image quality in chest, hip and pelvis examinations between mobile equipment in nursing homes and static indirect radiography equipment in the hospital

Introduction: A hospital environment can be a significant burden and a health risk especially for dementia patients. Mobile x-ray equipment (ME) is used to enable imaging of these patients at home. The aim was to compare image quality (IQ) of chest, hip and pelvis images from ME to the stationary equipment (SE) used in a hospital department. Methods: We analysed examinations of the chest (n = 20), hip (n = 64) and pelvis (n = 32). Images were equally obtained from each setting of ME and SE. All images were graded using Visual Grading Analysis (VGA) by three radiographers (hip and pelvis) and three radiologists (chest). Technical IQ assessment was done by 80 additional images of a Contrast-Detail Radiography phantom (CDRAD). Results: All chest images were approved for diagnostic use, as well as the hip AP and pelvis images from SE. ‘Approved proportion of ME images was for HIP antero-posterior (AP) and pelvis, 78% [95% CI: 52–94%] and 81% [95% CI: 54–96%] respectively. Hip axial had an overall low, but not significant different approval rate. Ordered logistic regression indicated higher IQ of HIP AP and pelvic images from SE. This contrasts that the CDRAD substudy indicated better IQ, expressed as IQFinv, from ME. Conclusion: The VGA showed higher IQ for the SE system, while the CDRAD showed higher IQ for the ME system. Implications for practice: Dementia patients can be examined at their home if the acquisition is optimised according to image quality in conjunct to radiation dose. Performing imaging out of the hospital and coordinating the patients’ further treatment are new work areas for radiographers and requires excellent communication skills