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利用磁共振成像预测和评估浸润性宫颈癌对全身化疗的反应。

Using MR imaging to predict and evaluate the response of invasive cervical carcinoma to systemic chemotherapy.

作者信息

Amano M, Kato T, Amano Y, Kumazaki T

机构信息

Department of Radiology, Nippon Medical School, Tokyo, Japan.

出版信息

AJR Am J Roentgenol. 1998 Nov;171(5):1335-9. doi: 10.2214/ajr.171.5.9798875.

Abstract

OBJECTIVE

The goal of our study was to evaluate the accuracy of MR imaging in predicting the response of invasive cervical carcinoma to systemic neoadjuvant chemotherapy, to observe with MR imaging the difference in tumor response to chemotherapy between treatment cycles, and to correlate tumor size between MR imaging after chemotherapy and surgical specimen.

SUBJECTS AND METHODS

Pelvic MR imaging was performed before and after chemotherapy in 41 patients with invasive cervical carcinoma. The difference in tumor reduction between the second course and the third or fourth course of treatment was statistically evaluated in 12 patients. MR images obtained after chemotherapy were compared with surgical specimens to determine residual tumor size in 10 patients.

RESULTS

Tumor volume, complete replacement of cervical stroma with carcinoma, and uterine body involvement by tumor observed in the MR images before treatment were found to be significant factors in predicting tumor response. No difference in tumor reduction was found between the second course and the third or fourth course of chemotherapy. Estimates made on MR imaging of tumor size after chemotherapy were within 5 mm of the resected samples.

CONCLUSION

Pelvic MR imaging proved useful in predicting and assessing the response of invasive cervical carcinoma to chemotherapy.

摘要

目的

我们研究的目的是评估磁共振成像(MR成像)在预测浸润性宫颈癌对全身新辅助化疗反应方面的准确性,通过MR成像观察各治疗周期肿瘤对化疗反应的差异,并将化疗后MR成像显示的肿瘤大小与手术标本进行对比。

对象与方法

对41例浸润性宫颈癌患者在化疗前后进行盆腔MR成像检查。对12例患者第二疗程与第三或第四疗程治疗之间的肿瘤缩小差异进行统计学评估。将化疗后获得的MR图像与手术标本进行比较,以确定10例患者的残留肿瘤大小。

结果

治疗前MR图像中观察到的肿瘤体积、癌组织完全取代宫颈基质以及肿瘤累及子宫体被发现是预测肿瘤反应的重要因素。第二疗程与第三或第四疗程化疗之间在肿瘤缩小方面未发现差异。化疗后通过MR成像对肿瘤大小的估计与切除标本相差在5毫米以内。

结论

盆腔MR成像被证明在预测和评估浸润性宫颈癌对化疗的反应方面是有用的。

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