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乳腺癌内乳淋巴结转移的诊断

The diagnosis of internal mammary node metastases of breast cancer.

作者信息

Noguchi M, Michigishi T, Nakajima K, Koyasaki N, Taniya T, Ohta N, Miyazaki I

机构信息

Operation Center, Kanazawa University Hospital, Japan.

出版信息

Int Surg. 1993 Apr-Jun;78(2):171-5.

PMID:8354619
Abstract

It is important to know the status of internal mammary lymph node (IMN) in estimating the prognosis in patients with breast cancer and/or planning the treatment. In the first series of this study, the diagnostic value of internal mammary lymphoscintigraphy (IMLS) and that of parasternal sonography (PS) were evaluated in 57 patients. The overall diagnostic accuracy of IMLS was 72% and that of PS, 84%, compared with IMN metastases confirmed on a biopsy. In the second series, 23 patients who underwent extended radical mastectomy and were found to have IMN metastases, were examined for the sizes and locations of metastatic IMN. Minute metastatic lymph nodes not detectable by IMLS or PS were found in 9 (39%) of the patients. However, the incidence of metastases to the first and/or second intercostal spaces was 97% for the patients. We concluded that a biopsy of the first and second intercostal spaces is useful in providing the information of IMN status.

摘要

了解内乳淋巴结(IMN)的状况对于评估乳腺癌患者的预后和/或制定治疗方案至关重要。在本研究的第一组中,对57例患者评估了内乳淋巴闪烁造影(IMLS)和胸骨旁超声检查(PS)的诊断价值。与活检证实的IMN转移相比,IMLS的总体诊断准确率为72%,PS的总体诊断准确率为84%。在第二组中,对23例行扩大根治性乳房切除术且发现有IMN转移的患者,检查了转移性IMN的大小和位置。9例(39%)患者发现了IMLS或PS无法检测到的微小转移性淋巴结。然而,这些患者中第一和/或第二肋间间隙转移的发生率为97%。我们得出结论,对第一和第二肋间间隙进行活检有助于提供IMN状况的信息。

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The diagnosis of internal mammary node metastases of breast cancer.乳腺癌内乳淋巴结转移的诊断
Int Surg. 1993 Apr-Jun;78(2):171-5.
2
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Imaging of regional spread of breast cancer by internal mammary lymphoscintigraphy, CT, and MRI.通过内乳淋巴闪烁显像、CT和MRI对乳腺癌区域扩散的影像学研究。
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Internal mammary lymphoscintigraphy in patients with breast cancer. Correlation with computed tomography and impact on radiation therapy planning.乳腺癌患者的内乳淋巴闪烁显像。与计算机断层扫描的相关性及对放射治疗计划的影响。
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Internal mammary node metastasis in breast cancer: predictive models to determine status & management algorithms.乳腺癌内乳淋巴结转移:预测模型以确定状态和管理算法。
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[Evaluation of the internal mammary nodes by lymphoscintigraphy and ultrasonography in patients with breast cancer].[乳腺癌患者内乳淋巴结的淋巴闪烁显像和超声检查评估]
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