Roszkowski N, Lam S S, Copson E, Cutress R I, Oeppen R
Breast Imaging Unit, Princess Anne Hospital, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Cancer Sciences Academic Unit, University of Southampton, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK.
BJS Open. 2021 Mar 5;5(2). doi: 10.1093/bjsopen/zraa006.
There is wide variation in the approach to staging for distant metastatic disease in breast cancer. This study sought to identify factors predictive of distant metastatic disease at presentation to enable appropriate selection of patients for pretreatment CT.
Data were collected retrospectively for all patients with newly diagnosed breast cancer (screening and symptomatic) over 3 years (2014-2017). Detailed demographic, pathological, biological, and management data were recorded at presentation, and outcome data were recorded after follow-up. Binomial logistic regression was used to identify variables independently associated with distant metastatic disease at presentation.
A total of 1377 patients with newly diagnosed breast cancer were identified, of whom 1025 had complete data; 323 staging CT examinations were performed. Distant metastases were identified at presentation in 47 (4.6 per cent). Some 30 of 47 patients with metastatic disease met established criteria for staging (T4, recurrence, symptoms of possible distant metastases), leaving 17 patients with metastatic disease potentially missed by use of these criteria alone. Multivariable analysis showed that tumour size at least 3 cm combined with sonographically abnormal axillary lymph nodes predicted a high probability of distant metastatic disease at presentation (positive predictive value 18.8 per cent, odds ratio 4.83, P < 0.001). Addition of this criterion increased the positive CT rate to 17.1 per cent.
Selective pretreatment CT staging can be further optimized with the addition of tumour size at least 3 cm with abnormal axillary nodes to established staging criteria.
乳腺癌远处转移疾病的分期方法存在很大差异。本研究旨在确定初诊时远处转移疾病的预测因素,以便为患者进行预处理CT的选择提供依据。
回顾性收集3年(2014 - 2017年)内所有新诊断乳腺癌(筛查和有症状)患者的数据。在初诊时记录详细的人口统计学、病理学、生物学和治疗数据,并在随访后记录结局数据。采用二项逻辑回归分析确定与初诊时远处转移疾病独立相关的变量。
共纳入1377例新诊断乳腺癌患者,其中1025例有完整数据;进行了323次分期CT检查。初诊时发现远处转移47例(4.6%)。47例转移疾病患者中约30例符合既定分期标准(T4、复发、可能远处转移的症状),仅使用这些标准会遗漏17例转移疾病患者。多变量分析显示,肿瘤大小至少3 cm并伴有超声检查异常的腋窝淋巴结提示初诊时远处转移疾病的可能性较高(阳性预测值18.8%,比值比4.83,P < 0.001)。增加该标准后,CT阳性率提高到17.1%。
在既定分期标准中增加肿瘤大小至少3 cm且腋窝淋巴结异常这一标准,可进一步优化选择性预处理CT分期。