Usefulness of Fractal Analysis of Kirsch Edge Images for the Tissue Fragment Inner Structure in Breast FNAB
Usefulness of Fractal Analysis of Kirsch Edge Images for the Tissue Fragment Inner Structure in Breast FNAB
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DOI：
10.1159/000519490
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发表时间：
2021-10-28
期刊：
影响因子：
1.8
通讯作者：
Watanabe，Jun
中科院分区：
文献类型：
--
作者：
Yoshioka，Haruhiko;Shimoda，Tsubasa;Watanabe，Jun
目的：高精度乳腺X线摄影和超声筛查的最新进展导致早期病变（导管原位癌和小癌症）的检测增加，表现为微钙化病变或微囊性图像，需要提高乳腺细针穿刺活检（FNAB）评估这些病变的准确性。本研究的目的是探讨组织碎片内部结构（FKT）的Kirsch边缘图像的分形分析是否适用于乳腺FNAB。FKT测量深染拥挤组织碎片（HCG）的组织碎片染色、组织碎片形状不均匀性和组织碎片内部结构复杂性。研究设计材料：对7例纤维腺瘤（FA）的19个上皮组织碎片和11例非特殊类型浸润性乳腺癌（IBC-NST）（1-2级）的52个组织碎片进行了评估。首先，将组织碎片分为小（小于60× 102 μ m2）、中、大（100× 102 μ m2或更大），并确定每种尺寸的出现率。其次，对FKT，确定了组织碎片色差的亮度值、不均匀度和分形值，以及组织碎片内部结构的复杂度。在统计分析中，进行Steel-Dwass检验、非线性判别分析和受试者工作特征分析，将显著性水平设定为p< 0.05。结果：与FA组相比，IBC-NST组小、大组织块的“组织块形状不均匀度"、“组织块形状分形值”和“组织块内部结构分形值”均显著增高。在使用4个变量（“组织碎片色度的亮度值"、“组织碎片形状的不均匀性”、“组织碎片形状的分形值”和“组织碎片内部结构的分形值”）的多变量分析中，小组织碎片的特异性和灵敏度最高（100%）。结论：FKT评价“组织碎片暗度"、“组织碎片形状不均匀性”和“组织碎片内部结构复杂性”，其关注乳腺FNAB中HCG的小组织碎片，可用作辅助乳腺FNAB的细胞病理学评估的系统。
Objective: Recent advances in high-precision mammography and ultrasound screening have led to an increase in the detection of early lesions (ductal carcinoma in situ and small cancers) appearing as microcalcified lesions or microcystic images, and there needs to be an improvement in the accuracy of breast fine-needle aspiration biopsy (FNAB) assessing these lesions. The objective of this study was to investigate whether fractal analysis of Kirsch edge images for the tissue fragment inner structure (FKT) is useful in breast FNAB. FKT measures tissue fragment chromasia of hyperchromatic crowded tissue fragments (HCG), tissue fragment shape unevenness, and tissue fragment inner structure complexity. Study Design Materials: Nineteen epithelial tissue fragments of fibroadenoma (FA) from 7 patients and 52 tissue fragments of invasive breast carcinoma of no special type (IBC-NST)(grade 1–2) from 11 patients were assessed. First, tissue fragments were classified into small (smaller than 60× 102 μm 2), medium, and large (100× 102 μm 2 or larger), and the appearance rate of each size was determined. Second, for FKT, the luminance value of tissue fragment chromasia, the unevenness and fractal value, and the tissue fragment inner structure complexity were determined. In statistical analysis, the Steel-Dwass test, nonlinear discriminant analysis, and receiver operating characteristic analysis were performed, setting the significance level at p< 0.05. Results:“Unevenness of the tissue fragment shape,”“fractal value of the tissue fragment shape,” and “fractal value of the tissue fragment inner structure” were significantly higher in small and large tissue fragments in IBC-NST compared with those in FA. The specificity and sensitivity were the highest (100%) in small tissue fragments in multivariate analysis using 4 variables (“luminance value of tissue fragment chromasia,”“unevenness of tissue fragment shape,”“fractal value of the tissue fragment shape,” and “fractal value of the tissue fragment inner structure”). Conclusion: FKT, which evaluates “tissue fragment darkness,”“tissue fragment shape unevenness,” and “tissue fragment inner structure complexity” focusing on small tissue fragments of HCG in breast FNAB, is useful as a system that assists cytopathological assessment of breast FNAB.