综合超声病理方法改善术前叶状肿瘤分类:一项初步研究。

Breast disease Pub Date : 2022-04-04 DOI:10.3233/bd-210025

Paola Locicero, N. Weingertner, V. Noblet, M. Mondino, C. Mathelin, S. Molière

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引用次数: 0

摘要

目的:叶状瘤(PT)的术前诊断具有挑战性，核心针活检(CNB)有明显的分期不足率，导致手术平整度不理想。我们假设，与单独活检相比，影像数据与CNB的关联可以提高术前诊断的准确性。方法回顾性初步研究纳入59例有术前影像学、超声心动图和手术标本病理资料的分叶状肿瘤。结果两项超声特征:肿瘤异质性和肿瘤形态与肿瘤分级相关，与CNB结果无关。使用机器学习分类器，超声特征与CNB结果的关联将术前肿瘤分类的准确率提高了84%。结论术前综合诊断，将超声特征与CNB相结合，可提高术前诊断水平，优化手术平面化。

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An integrative ultrasound-pathology approach to improve preoperative phyllodes tumor classification: A pilot study.

OBJECTIVE Preoperative diagnosis of phyllodes tumor (PT) is challenging, core-needle biopsy (CNB) has a significant rate of understaging, resulting in suboptimal surgical planification. We hypothesized that the association of imaging data to CNB would improve preoperative diagnostic accuracy compared to biopsy alone. METHODS In this retrospective pilot study, we included 59 phyllodes tumor with available preoperative imaging, CNB and surgical specimen pathology. RESULTS Two ultrasound features: tumor heterogeneity and tumor shape were associated with tumor grade, independently of CNB results. Using a machine learning classifier, the association of ultrasound features with CNB results improved accuracy of preoperative tumor classification up to 84%. CONCLUSION An integrative approach of preoperative diagnosis, associating ultrasound features and CNB, improves preoperative diagnosis and could thus optimize surgical planification.

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来源期刊

Breast disease Medicine-Oncology

CiteScore

1.80

自引率

0.00%

发文量

期刊介绍： The recent expansion of work in the field of breast cancer inevitably will hasten discoveries that will have impact on patient outcome. The breadth of this research that spans basic science, clinical medicine, epidemiology, and public policy poses difficulties for investigators. Not only is it necessary to be facile in comprehending ideas from many disciplines, but also important to understand the public implications of these discoveries. Breast Disease publishes review issues devoted to an in-depth analysis of the scientific and public implications of recent research on a specific problem in breast cancer. Thus, the reviews will not only discuss recent discoveries but will also reflect on their impact in breast cancer research or clinical management.