Clarke G M, Murray M, Holloway C M B, Liu K, Zubovits J T, Yaffe M J
Physical Sciences Platform, Sunnybrook Research Institute, Room C7-27c, 2075 Bayview Avenue, Toronto, ON, Canada M4N 3M5.
Int J Breast Cancer. 2012;2012:691205. doi: 10.1155/2012/691205. Epub 2012 Dec 23.
Tumour size, most commonly measured by maximum linear extent, remains a strong predictor of survival in breast cancer. Tumour volume, proportional to the number of tumour cells, may be a more accurate surrogate for size. We describe a novel "3D pathology volumetric technique" for lumpectomies and compare it with 2D measurements. Volume renderings and total tumour volume are computed from digitized whole-mount serial sections using custom software tools. Results are presented for two lumpectomy specimens selected for tumour features which may challenge accurate measurement of tumour burden with conventional, sampling-based pathology: (1) an infiltrative pattern admixed with normal breast elements; (2) a localized invasive mass separated from the in situ component by benign tissue. Spatial relationships between key features (tumour foci, close or involved margins) are clearly visualized in volume renderings. Invasive tumour burden can be underestimated using conventional pathology, compared to the volumetric technique (infiltrative pattern: 30% underestimation; localized mass: 3% underestimation for invasive tumour, 44% for in situ component). Tumour volume approximated from 2D measurements (i.e., maximum linear extent), assuming elliptical geometry, was seen to overestimate volume compared to the 3D volumetric calculation (by a factor of 7x for the infiltrative pattern; 1.5x for the localized invasive mass).
肿瘤大小通常通过最大线性范围来测量,它仍然是乳腺癌生存的有力预测指标。肿瘤体积与肿瘤细胞数量成正比,可能是更准确的大小替代指标。我们描述了一种用于乳房肿瘤切除术的新型“三维病理体积测量技术”,并将其与二维测量进行比较。使用定制软件工具从数字化全层连续切片计算体积渲染图和肿瘤总体积。给出了两个因肿瘤特征而选择的乳房肿瘤切除标本的结果,这些特征可能对基于传统抽样病理的肿瘤负荷准确测量构成挑战:(1)一种与正常乳腺组织混合的浸润模式;(2)一个由良性组织与原位成分分隔的局限性浸润性肿块。在体积渲染图中可以清晰地看到关键特征(肿瘤灶、切缘接近或受累)之间的空间关系。与体积测量技术相比,使用传统病理可能会低估浸润性肿瘤负荷(浸润模式:低估30%;局限性肿块:浸润性肿瘤低估3%,原位成分低估44%)。假设为椭圆形几何形状,从二维测量(即最大线性范围)估算的肿瘤体积与三维体积计算相比被高估(浸润模式高估7倍;局限性浸润性肿块高估1.5倍)。