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Fractal Parameters of Tumour Microscopic Images as Prognostic Indicators of Clinical Outcome in Early Breast Cancer

机译:肿瘤显微图像的分形参数作为早期乳腺癌临床结果的预后指标

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Research in the field of breast cancer outcome prognosis has been focused on molecularbiomarkers, while neglecting the discovery of novel tumour histology structural clues. We thusaimed to improve breast cancer prognosis by fractal analysis of tumour histomorphology. Thisstudy included 92 breast cancer patients without systemic treatment. Fractal parametersfractaldimension and lacunarity of the breast tumour microscopic histology possess prognosticvalue comparable to the major clinicopathological prognostic parameters. Fractal analysis wasperformed for the first time on routinely produced archived pan-tissue stained primary breasttumour sections, indicating its potential for clinical use as a simple and cost-effectiveprognostic indicator of distant metastasis risk to complement the molecular approaches forcancer risk prognosis.
机译:乳腺癌预后领域的研究一直集中在分子生物标志物上,而忽视了新的肿瘤组织学结构线索的发现。因此,我们通过对肿瘤组织形态进行分形分析来改善乳腺癌的预后。这项研究包括92例未经系统治疗的乳腺癌患者。分形参数的分形维数和乳腺显微组织学的腔隙性具有与主要临床病理学预后参数相当的预后价值。分形分析首次在常规生产的存档的全组织染色原发性乳腺肿瘤切片上进行,表明其具有作为远距离转移风险的简单且经济有效的预后指标以补充分子生物学方法以进行癌症风险预后的临床潜力。

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