Abdelrahman Mostafa A, Rawashdeh Mohammad A, McEntee Mark, Abu Tahoun Laila, Brennan Patrick
Department of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Medical Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Lidcombe, New South Wales, Australia.
J Med Imaging Radiat Oncol. 2019 Apr;63(2):197-202. doi: 10.1111/1754-9485.12859. Epub 2019 Feb 1.
Differences in radiologists' experience can potentially introduce interobserver variability in reading mammograms. This work investigated the effect of radiologists' experience on agreement on mammographic final classification.
This was a cross-sectional study. Seventeen radiologists were asked to provide their final impression on 60 mammogram cases. Experience parameters included breast subspecialty, years reading mammograms, cases read per year and career caseload. Career caseload was calculated by multiplying years reading mammograms by the average number of cases read per year. The interobserver agreement was calculated using Cohen kappa (κ). The difference in κ between radiologists' groups was compared using the independent-sample t-test and analysis of variance.
The average interobserver agreement was 0.25 (fair). A small difference was found in favour of breast radiologists against general radiologists (κ = 0.21 and 0.29, respectively, P = 0.019). Years reading mammograms and cases read per year did not seem to significantly affect the interobserver agreement (P = 0.056 and 0.273 respectively). Radiologist who had career caseload of at least 2500 cases showed significantly higher consistency than those who read less. κ for radiologists who had career caseload of 2500-4000 cases and >4000 cases was 0.33 and 0.28, respectively, whereas for <2500 κ was 0.17 (P = 0.001).
A fair level of interobserver agreement on the final classification of a mammogram was demonstrated. Career caseload was the most important experience parameter to associate with the interobserver agreement. Training strategies aiming to increase radiologists' career caseload may be beneficial.
放射科医生的经验差异可能会在乳腺钼靶读片中引入观察者间的变异性。本研究调查了放射科医生的经验对乳腺钼靶最终分类一致性的影响。
这是一项横断面研究。邀请了17名放射科医生对60例乳腺钼靶病例给出最终诊断意见。经验参数包括乳腺专科、乳腺钼靶阅片年限、每年阅片病例数和职业生涯病例量。职业生涯病例量通过乳腺钼靶阅片年限乘以每年平均阅片病例数来计算。使用Cohen kappa(κ)计算观察者间一致性。使用独立样本t检验和方差分析比较不同放射科医生组之间κ的差异。
观察者间平均一致性为0.25(一般)。发现乳腺专科放射科医生的一致性略高于普通放射科医生(κ分别为0.21和0.29,P = 0.019)。乳腺钼靶阅片年限和每年阅片病例数似乎对观察者间一致性没有显著影响(分别为P = 0.056和0.273)。职业生涯病例量至少为2500例的放射科医生的一致性显著高于阅片量较少的医生。职业生涯病例量为2500 - 4000例和>4000例的放射科医生的κ分别为0.33和0.28,而<2500例的κ为0.17(P = 0.001)。
乳腺钼靶最终分类的观察者间一致性处于一般水平。职业生涯病例量是与观察者间一致性相关的最重要经验参数。旨在增加放射科医生职业生涯病例量的培训策略可能有益。