Suppr超能文献

通过影像学预测乳腺癌患者对新辅助化疗的病理反应

Prediction of pathological response to neoadjuvant chemotherapy in breast cancer patients by imaging.

作者信息

Kaise Hiroshi, Shimizu Fumika, Akazawa Kohei, Hasegawa Yoshie, Horiguchi Jun, Miura Daishu, Kohno Norio, Ishikawa Takashi

机构信息

Department of Breast Oncology and Surgery, Tokyo Medical University Hospital, Tokyo, Japan.

Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan.

出版信息

J Surg Res. 2018 May;225:175-180. doi: 10.1016/j.jss.2017.12.002. Epub 2018 Feb 21.

Abstract

BACKGROUND

Diagnostic imaging is important for predicting the pathological response to chemotherapy during neoadjuvant chemotherapy (NAC) and for considering the surgical management with appropriate resection after NAC. This study was performed to examine the accuracy of the present radiological imaging for predicting the pathological complete response (pCR).

METHODS

From 188 patients in our previous JONIE1 Study, a randomized controlled trial comparing chemotherapy with and without zoledronic acid for patients with human epidermal growth factor receptor 2-negative breast cancer, we evaluated 122 patients whose tumor size was examined by magnetic resonance imaging or ultrasound at three points: before NAC; after administering fluorouracil, epirubicin, and cyclophosphamide; and after NAC. The maximum tumor diameter was evaluated by magnetic resonance imaging or ultrasound. Tumor reduction ratios were calculated at the same three points. The association between the radiological clinical response and the pCR was examined.

RESULTS

Among the 122 patients evaluated, there were 98 and 24 patients with luminal (Lum) and triple-negative (TN) subtypes, respectively. There were no patients who showed tumor progression after treatment. The radiological size of the tumors was finally reduced by an average of 58.4%. Clinical complete response and pCR were achieved in 22 (18.0%) and 15 (12.3%) patients, respectively. In the overall population (n = 122), the accuracy, sensitivity, and specificity for predicting pCR were 86.1%, 88.8%, and 66.7%, respectively. The negative predictive value and false-negative rate were 45.5% and 11.2%, respectively. According to subtypes, the accuracies were 83.7% and 95.8% in Lum and TN, respectively. Negative predictive value and false-negative rate were markedly different between the Lum (29.4% and 13.5%) and TN subtypes (100% and 0%), respectively.

CONCLUSIONS

This randomized clinical trial demonstrated that NAC was safe for operable breast cancer patients with appropriate radiological monitoring. Radiological evaluation after NAC may be a reliable method for predicting pathological response in the TN subtype, but not in the Lum subtype.

摘要

背景

诊断性影像学对于预测新辅助化疗(NAC)期间化疗的病理反应以及考虑NAC后进行适当切除的手术管理很重要。本研究旨在检验当前放射影像学预测病理完全缓解(pCR)的准确性。

方法

在我们之前的JONIE1研究中的188例患者中,这是一项比较唑来膦酸用于或不用于人表皮生长因子受体2阴性乳腺癌患者化疗的随机对照试验,我们评估了122例患者,其肿瘤大小在三个时间点通过磁共振成像或超声检查:NAC前;给予氟尿嘧啶、表柔比星和环磷酰胺后;以及NAC后。通过磁共振成像或超声评估最大肿瘤直径。在相同的三个时间点计算肿瘤缩小率。检查放射学临床反应与pCR之间的关联。

结果

在评估的122例患者中,分别有98例和24例管腔型(Lum)和三阴性(TN)亚型患者。没有患者在治疗后出现肿瘤进展。肿瘤的放射学大小最终平均缩小了58.4%。分别有22例(18.0%)和15例(12.3%)患者实现了临床完全缓解和pCR。在总体人群(n = 122)中,预测pCR的准确性、敏感性和特异性分别为86.1%、88.8%和66.7%。阴性预测值和假阴性率分别为45.5%和11.2%。根据亚型,Lum和TN亚型的准确性分别为83.7%和95.8%。Lum(2,94%和13.5%)和TN亚型(100%和0%)的阴性预测值和假阴性率明显不同。

结论

这项随机临床试验表明,在适当的放射学监测下,NAC对可手术乳腺癌患者是安全的。NAC后的放射学评估可能是预测TN亚型病理反应的可靠方法,但不是Lum亚型。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验