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乳腺癌中的微血管密度:区域面积对预后信息性的影响。

Microvessel density in breast cancer: the impact of field area on prognostic informativeness.

机构信息

Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway

Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

J Clin Pathol. 2019 Apr;72(4):304-310. doi: 10.1136/jclinpath-2018-205536. Epub 2019 Jan 10.

Abstract

AIMS

Tumour microvessel density (MVD) is assessed by counting vessels in the most vascularised tumour region, the vascular hot spot. Current uncertainty regarding the prognostic role of MVD in breast cancer could, in part, be explained by variations in field area size for MVD assessment. We aimed to identify the field area size that provides the most accurate prognostic information in breast carcinoma.

METHODS

MVD was assessed in 212 tumours. von Willebrand factor positively stained vessels were counted in 10 consecutive visual fields in vascular hotspots. The 10 visual fields in the original counting sequence (MVD-Consecutive) were sorted from highest to lowest vessel count (MVD-Decreasing), and randomly (MVD-Random). After adding counts from one visual field at a time, mean MVD was calculated for each cumulative field area. The prognostic informativeness of each field area and sorting strategy were compared.

RESULTS

Median MVD decreased with increasing field size for MVD-Decreasing and MVD-Consecutive. A 0.35 mm total field area comprising only the highest vessel counts provided the most accurate prognostic information (MVD-Decreasing, HR for breast cancer death 1.06 per 10 vessels/mm increase, 95% CI 1.03 to 1.10). MVD-Decreasing gave more accurate prognostic information than MVD-Consecutive and MVD-Random, with decreasing prognostic informativeness with increasing field area.

CONCLUSIONS

Median MVD and its prognostic informativeness decreased with increasing field area. Assessing MVD in a carefully selected small field area of 0.35 mm provides the most accurate prognostic information. This could facilitate the implementation of MVD assessment in breast cancer.

摘要

目的

肿瘤微血管密度(MVD)通过计数最血管化肿瘤区域的血管来评估,即血管热点。目前,乳腺癌中 MVD 的预后作用存在不确定性,部分原因可能是 MVD 评估的视野面积大小存在差异。我们旨在确定提供乳腺癌最准确预后信息的视野面积大小。

方法

评估了 212 个肿瘤的 MVD。在血管热点中,用 von Willebrand 因子阳性染色的血管计数 10 个连续视野。原始计数序列中的 10 个视野(MVD-连续)按血管计数从高到低排序(MVD-递减)和随机排序(MVD-随机)。每次添加一个视野的计数后,计算每个累积视野面积的平均 MVD。比较每个视野面积和排序策略的预后信息量。

结果

MVD-递减和 MVD-连续的 MVD 随视野面积的增加而降低。仅包含最高血管计数的 0.35mm 总视野面积提供了最准确的预后信息(MVD-递减,乳腺癌死亡风险比为每增加 10 个血管/毫米 1.06,95%可信区间为 1.03 至 1.10)。MVD-递减比 MVD-连续和 MVD-随机提供更准确的预后信息,随着视野面积的增加,预后信息量逐渐减少。

结论

MVD 中位数及其预后信息量随视野面积的增加而降低。在仔细选择的 0.35mm 小视野面积中评估 MVD 可提供最准确的预后信息。这可能有助于在乳腺癌中实施 MVD 评估。

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