14 research outputs found
Mammography workstation design: effect on mammographer behaviour and the risk of musculoskeletal disorders
In the UK Breast Screening Programme there is a growing transition from film to digital mammography, and
consequently a change in mammography workstation ergonomics. This paper investigates the effect of the change for
radiologists including their comfort, likelihood of developing musculoskeletal disorders (MSD’s), and work practices.
Three workstations types were investigated: one with all film mammograms; one with digital mammograms alongside
film mammograms from the previous screening round, and one with digital mammograms alongside digitised film
mammograms from the previous screening round. Mammographers were video-taped whilst conducting work sessions at
each of the workstations. Event based Rapid Upper Limb Assessment (RULA) postural analysis showed no overall
increase in MSD risk level in the switch from the film to digital workstation. Average number of visual glances at the
prior mammograms per case measured by analysis of recorded video footage showed an increase if the prior
mammograms were digitised, rather than displayed on a multi-viewer (p<.05). This finding has potential implications for
mammographer performance in the transition to digital mammography in the UK
Influencing clinicians and healthcare managers: can ROC be more persuasive?
Receiver Operating Characteristic analysis provides a reliable and cost effective performance measurement tool, without
using full clinical trials. However, when ROC analysis shows that performance is statistically superior in one condition
than another it is difficult to relate this result to effects in practice, or even to determine whether it is clinically
significant. In this paper we present two concurrent analyses: using ROC methods alongside single threshold recall rate
data, and suggest that reporting both provides complimentary data. Four mammographers read 160 difficult cases (41%
malignant) twice, with and without prior mammograms. Lesion location and probability of malignancy was reported for
each case and analyzed using JAFROC. Concurrently each participant chose recall or return to screen for each case.
JAFROC analysis showed that the presence of prior mammograms improved performance (p<.05). Single threshold data
showed a trend towards a 26% increase in the number of false positive recalls without prior mammograms (p=.056). If
this trend were present throughout the NHS Breast Screening Programme then discarding prior mammograms would
correspond to an increase in recall rate from 4.6% to 5.3%, and 12,414 extra women recalled annually for assessment.
Whilst ROC methods account for all possible thresholds of recall and have higher power, providing a single threshold
example of false positive, false negative, and recall rates when reporting results could be more influential for clinicians.
This paper discusses whether this is a useful additional method of presenting data, or whether it is misleading and
inaccurat
The time course of cancer detection performance
The purpose of this study was to measure how mammography readers' performance varies with time of day and time
spent reading. This was investigated in screening practice and when reading an enriched case set. In screening practice
records of time and date that each case was read, along with outcome (whether the woman was recalled for further tests,
and biopsy results where performed) was extracted from records from one breast screening centre in UK (4 readers).
Patterns of performance with time spent reading was also measured using an enriched test set (160 cases, 41% malignant,
read three times by eight radiologists). Recall rates varied with time of day, with different patterns for each reader. Recall
rates decreased as the reading session progressed both when reading the enriched test set and in screening practice.
Further work is needed to expand this work to a greater number of breast screening centres, and to determine whether
these patterns of performance over time can be used to optimize overall performance
Positive and negative agreement: Standard microbiology methods vs. xTAG (Benchmark).
<p>Positive and negative agreement: Standard microbiology methods vs. xTAG (Benchmark).</p
Positive and negative agreement: xTAG vs. standard microbiology methods (benchmark).
<p>Positive and negative agreement: xTAG vs. standard microbiology methods (benchmark).</p
Positive agreement: xTAG vs. conventional testing (benchmark).
<p>Positive agreement: xTAG vs. conventional testing (benchmark).</p
Positive agreement: Conventional testing vs. xTAG (Benchmark).
<p>Positive agreement: Conventional testing vs. xTAG (Benchmark).</p
Additional file 1: Table S1. of Evaluation of pre-symptomatic nitisinone treatment on long-term outcomes in Tyrosinemia type 1 patients: a systematic review
Search strategy for Ovid Medline. This table shows the electronic search strategy developed for Medline (Ovid) and the number of hits retrieved per line. Figure S1. EPHPP quality assessment tool for quantitative studies. This file shows the EPHPP âQuality assessment tool for quantitative studiesâ that was used to appraise the quality of all included studies. Table S2. Excluded studies with reason. This table lists all studies that were excluded at full text stage and reasons for their exclusion. (DOCX 126Â kb