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乳腺癌的形态。

The shape of breast cancer.

机构信息

Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.

CairnSurgical, Inc., Lebanon, NH, USA.

出版信息

Breast Cancer Res Treat. 2020 Sep;183(2):403-410. doi: 10.1007/s10549-020-05780-6. Epub 2020 Jul 12.

Abstract

PURPOSE

Little is known about the three-dimensional shape of breast cancer. Implicit to approaches that localize the center of the tumor for breast-conserving surgery (BCS) of non-palpable cancers is the assumption that breast cancers are spherical about a central point, which may not be accurate.

METHODS

Pre-operative supine breast MRI images were obtained of 83 breast cancer patients undergoing partial mastectomy using supine MRI-guided resection techniques. Three-dimensional (3D) tumor models were derived after radiologists outlined tumor edges on successive MRI slices. Ideal resection volumes were determined by adding 1 cm in every dimension to the actual tumor volume. Geometrically defined parameters were used to define tumor shapes and associations between clinical variables and shapes were examined.

RESULTS

Seventy-five patients had invasive cancer. Breast cancers were categorized into four tumor shapes: 34% of tumors were discoidal, 29% segmental, 19% spherical, and 18% irregular. If hypothetical spherical excisions were performed, non-spherical cases would excise 143% more tissue than the ideal resection volume. When the 3D shape of each tumor was provided to the surgeon during MR-guided BCS, the percentage of tissue overexcised in non-spherical cases was significantly less (143% vs. 66%, p < 0.001).

CONCLUSIONS

Information obtained from a supine MRI can be used to generate 3D tumor models and rapidly classify breast tumor shapes. The vast majority of invasive cancers and DCIS are not spherical. Knowledge of tumor shape may allow surgeons to excise breast cancer more precisely.

摘要

目的

对于乳腺癌的三维形状知之甚少。对于非触诊性癌症保乳手术(BCS)中定位肿瘤中心的方法,隐含的假设是乳腺癌围绕中心点呈球形,而这可能并不准确。

方法

对 83 名接受仰卧位 MRI 引导下部分乳房切除术的乳腺癌患者的术前仰卧位乳房 MRI 图像进行了研究。在放射科医生在连续 MRI 切片上勾勒出肿瘤边缘后,获得了三维(3D)肿瘤模型。通过在实际肿瘤体积的每个维度上增加 1 厘米来确定理想的切除体积。使用几何定义的参数来定义肿瘤形状,并检查临床变量与形状之间的关系。

结果

75 例患者患有浸润性癌。将乳腺癌分为四种肿瘤形状:34%的肿瘤呈盘状,29%呈节段状,19%呈球形,18%呈不规则状。如果进行假设的球形切除,非球形病例将切除比理想切除体积多 143%的组织。当在 MR 引导的 BCS 期间向外科医生提供每个肿瘤的 3D 形状时,非球形病例中过度切除的组织百分比显著降低(143%比 66%,p<0.001)。

结论

从仰卧 MRI 获得的信息可用于生成 3D 肿瘤模型并快速分类乳房肿瘤形状。绝大多数浸润性癌和 DCIS 不是球形的。对肿瘤形状的了解可以使外科医生更精确地切除乳腺癌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8355/8256655/dc7e90db1d37/nihms-1611309-f0001.jpg

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