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乳腺钼靶检查准确性的医生预测因素。

Physician predictors of mammographic accuracy.

作者信息

Smith-Bindman Rebecca, Chu Philip, Miglioretti Diana L, Quale Chris, Rosenberg Robert D, Cutter Gary, Geller Berta, Bacchetti Peter, Sickles Edward A, Kerlikowske Karla

机构信息

Department of Radiology, University of California, San Francisco, 1600 Divisadero St., San Francisco, CA 94115, USA.

出版信息

J Natl Cancer Inst. 2005 Mar 2;97(5):358-67. doi: 10.1093/jnci/dji060.

Abstract

BACKGROUND

The association between physician experience and the accuracy of screening mammography in community practice is not well studied. We identified characteristics of U.S. physicians associated with the accuracy of screening mammography.

METHODS

Data were obtained from the Breast Cancer Surveillance Consortium and the American Medical Association Master File. Unadjusted mammography sensitivity and specificity were calculated according to physician characteristics. We modeled mammography sensitivity and specificity by multivariable logistic regression as a function of patient and physician characteristics. All statistical tests were two-sided.

RESULTS

We studied 209 physicians who interpreted 1,220,046 screening mammograms from January 1, 1995, through December 31, 2000, of which 7143 (5.9 per 1000 mammograms) were associated with breast cancer within 12 months of screening. Each physician interpreted a mean of 6011 screening mammograms (95% confidence interval [CI] = 4998 to 6677), including a mean of 34 (95% CI = 28 to 40) from women diagnosed with breast cancer. The mean sensitivity was 77% (range = 29%-97%), and the mean false-positive rate was 10% (range = 1%-29%). After adjustment for the patient characteristics of those whose mammograms they interpreted, physician characteristics were strongly associated with specificity. Higher specificity was associated with at least 25 years (versus less than 10 years) since receipt of a medical degree (for physicians practicing for 25-29 years, odds ratio [OR] = 1.54, 95% CI = 1.14 to 2.08; P = .006), interpretation of 2500-4000 (versus 481-750) screening mammograms annually (OR = 1.30, 95% CI = 1.06 to 1.59; P = .011) and a high focus on screening mammography compared with diagnostic mammography (OR = 1.59, 95% CI = 1.37 to 1.82; P<.001). Higher overall accuracy was associated with more experience and with a higher focus on screening mammography. Compared with physicians who interpret 481-750 mammograms annually and had a low screening focus, physicians who interpret 2500-4000 mammograms annually and had a high screening focus had approximately 50% fewer false-positive examinations and detected a few less cancers.

CONCLUSION

Raising the annual volume requirements in the Mammography Quality Standards Act might improve the overall quality of screening mammography in the United States.

摘要

背景

在社区实践中,医生经验与乳腺钼靶筛查准确性之间的关联尚未得到充分研究。我们确定了与乳腺钼靶筛查准确性相关的美国医生特征。

方法

数据来自乳腺癌监测联盟和美国医学协会主文件。根据医生特征计算未经调整的乳腺钼靶敏感性和特异性。我们通过多变量逻辑回归将乳腺钼靶敏感性和特异性建模为患者和医生特征的函数。所有统计检验均为双侧检验。

结果

我们研究了209名医生,他们在1995年1月1日至2000年12月31日期间解读了1,220,046例乳腺钼靶筛查,其中7143例(每1000例乳腺钼靶中有5.9例)在筛查后12个月内与乳腺癌相关。每位医生平均解读6011例乳腺钼靶筛查(95%置信区间[CI]=4998至6677),其中平均34例(95%CI=28至40)来自被诊断为乳腺癌的女性。平均敏感性为77%(范围=29%-97%),平均假阳性率为10%(范围=1%-29%)。在对他们解读的乳腺钼靶检查患者特征进行调整后,医生特征与特异性密切相关。较高的特异性与获得医学学位后至少25年(相对于少于10年)相关(对于执业25-29年的医生,优势比[OR]=1.54,95%CI=1.14至2.08;P=.006),每年解读2500-4000例(相对于481-750例)乳腺钼靶筛查(OR=1.30,95%CI=1.06至1.59;P=.011)以及与诊断性乳腺钼靶相比更专注于筛查性乳腺钼靶(OR=1.59,95%CI=1.37至1.82;P<.001)。更高的总体准确性与更多经验以及更专注于筛查性乳腺钼靶相关。与每年解读481-750例乳腺钼靶且筛查重点较低的医生相比,每年解读2500-4000例乳腺钼靶且筛查重点较高的医生假阳性检查大约少50%,检测到的癌症也略少一些。

结论

提高《乳腺钼靶质量标准法案》中的年度工作量要求可能会提高美国乳腺钼靶筛查的总体质量。

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