Department of Human Oncology, Division of Breast Surgical Oncology, Allegheny General Hospital, Pittsburgh, USA.
Ann Surg Oncol. 2011 Oct;18(11):3160-3. doi: 10.1245/s10434-011-1919-5. Epub 2011 Sep 27.
To determine the accuracy, positive predictive value (PPV), and negative predictive value (NPV) of clinical examination and breast imaging techniques in determining pathologic complete response in patients with locally advanced breast cancer after neoadjuvant therapy.
A retrospective review was performed of data collected from patients treated with either neoadjuvant hormonal or chemotherapy between January 2005 and September 2010. Patients were evaluated by one of three surgical breast oncologists before neoadjuvant therapy and within 1 month before surgery by clinical breast examination (CBE), digital mammogram, breast ultrasound, and/or magnetic resonance imaging (MRI). The accuracy, NPV, and PPV of each modality was calculated on the basis of the final pathologic report. Available data from the literature was synthesized.
Sixty-two tumors in 61 patients with a mean age of 56 (range 34-87) years were evaluated. Overall accuracy ranged from 54% (CBE) to 80% (breast ultrasound). All modalities had a PPV greater than 75% for identifying the presence of residual disease. The PPV of each modality was generally higher in the younger patients. The NPV of all methods was less than 50%. The accuracy and NPV were compromised even further in younger patients. The combination of our own data with data available from the literature revealed MRI to be superior with regard to accuracy and PPV, but the NPV of MRIs remained poor at 65%.
All measured tests are good at predicting the presence of disease on final pathology, but none are able to reliably predict a pathologic complete response.
为了确定临床检查和乳腺影像学技术在确定接受新辅助治疗后局部晚期乳腺癌患者病理完全缓解的准确性、阳性预测值(PPV)和阴性预测值(NPV)。
对 2005 年 1 月至 2010 年 9 月期间接受新辅助激素或化疗治疗的患者的数据进行了回顾性分析。在新辅助治疗前和手术前 1 个月,由三位外科乳腺肿瘤学家中的一位对患者进行评估,采用临床乳房检查(CBE)、数字乳房 X 线摄影、乳房超声和/或磁共振成像(MRI)进行评估。基于最终病理报告,计算每种方法的准确性、NPV 和 PPV。综合了文献中的可用数据。
61 例患者的 62 个肿瘤,平均年龄为 56 岁(范围 34-87 岁)。总体准确率从 54%(CBE)到 80%(乳房超声)不等。所有方法识别残留疾病的 PPV 均大于 75%。各年龄段患者的 PPV 普遍较高。所有方法的 NPV 均小于 50%。年轻患者的准确性和 NPV 进一步受损。将我们自己的数据与文献中的数据相结合,结果显示 MRI 在准确性和 PPV 方面具有优势,但 MRI 的 NPV 仍较差,为 65%。
所有测量的检查方法都能很好地预测最终病理学上疾病的存在,但没有一种方法能够可靠地预测病理完全缓解。