Blanks R G
Cancer Screening Evaluation Unit, Sir Richard Doll Building, Institute of Cancer Research, Cotswold Road, Sutton, Surrey, UK.
Cytopathology. 2008 Aug;19(4):244-53. doi: 10.1111/j.1365-2303.2008.00558.x. Epub 2008 May 9.
To use routine annual data from the English cervical screening laboratories (KC61 returns) to evaluate individual laboratory return characteristics with particular reference to factors associated with sensitivity and specificity.
A graphical technique has been developed using data on referral to colposcopy and histological outcomes called a referral outcome (ROUT) diagram. The average grade of cervical intraepithelial neoplasia (CIN) detected (the mean CIN score, MCS) is plotted against the odds of a false-positive referral. Further analysis has been conducted to examine the relationship between the MCS and screen-detected invasive cancer rate.
There are large variations in ROUT diagram positions of individual laboratories and the diagram can be used to identify laboratories for further investigation. These variations are strongly influenced by substantial differences in the rate of low-grade referrals and the MCS (and positive predictive value) are inversely related to the referral rate for low-grade cytology (P < 0.001). There is a strong association between high MCS values and increased screen-detected cancer rates (P < 0.001) particularly above an MCS of 2.2. The data can be re-formulated in terms of CIN 2 and CIN 3 only where it can be shown that the invasive cancer rate rapidly increases if the numbers of CIN 2 lesions detected drops below 50% of the number of CIN 3 lesions. Given the complexity of cervical screening this may best be viewed as a hypothesis generating observation, best tested by interventional studies.
The ROUT diagram represents a new and potentially interesting way of presenting annual return data. The national programme in England needs to balance the prevention of cancer against too many unnecessary referrals to colposcopy and the ROUT diagram, and associated data given in this paper may help toward this. Further research is required including examining the role of referral policy and threshold criteria in influencing low-grade referrals and the relationship between MCS and cancer detection rate.
利用英国宫颈筛查实验室的常规年度数据(KC61报表)评估各实验室的回报特征,尤其关注与敏感性和特异性相关的因素。
利用转诊至阴道镜检查的数据和组织学结果开发了一种图形技术,称为转诊结果(ROUT)图。将检测到的宫颈上皮内瘤变(CIN)的平均分级(平均CIN评分,MCS)与假阳性转诊的几率进行绘制。进一步分析以检查MCS与筛查发现的浸润癌率之间的关系。
各实验室的ROUT图位置存在很大差异,该图可用于识别需要进一步调查的实验室。这些差异受到低级别转诊率的显著差异的强烈影响,并且MCS(和阳性预测值)与低级别细胞学转诊率呈负相关(P < 0.001)。高MCS值与筛查发现的癌症率增加之间存在很强的关联(P < 0.001),特别是在MCS高于2.2时。仅在可以证明如果检测到的CIN 2病变数量降至CIN 3病变数量的50%以下浸润癌率会迅速增加的情况下,数据才能仅根据CIN 2和CIN 3重新制定。鉴于宫颈筛查的复杂性,这最好被视为一种产生假设的观察结果,最好通过干预性研究进行检验。
ROUT图代表了一种呈现年度回报数据的新的且可能有趣的方式。英国的国家计划需要在预防癌症与过多不必要的阴道镜转诊之间取得平衡,而ROUT图以及本文给出的相关数据可能有助于实现这一点。需要进行进一步的研究,包括研究转诊政策和阈值标准在影响低级别转诊方面的作用以及MCS与癌症检测率之间的关系。