Application of OSNA Nomogram in Patients With Macrometastatic Sentinel Lymph Node: A Retrospective Assessment of Accuracy.

IF 1.8 Q3 ONCOLOGY
Breast Cancer : Basic and Clinical Research Pub Date : 2021-05-10 eCollection Date: 2021-01-01 DOI:10.1177/11782234211014796
Francesca Combi, Alessia Andreotti, Anna Gambini, Enza Palma, Simona Papi, Alice Biroli, Stefania Zaccarelli, Guido Ficarra, Giovanni Tazzioli
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引用次数: 1

Abstract

Introduction: Almost 50% to 70% of patients who undergo axillary lymph node dissection (ALND) because of a single metastatic sentinel lymph node (SLN) have no further metastatic nodes at the axillary histology. On these grounds, the one-step nucleic acid amplification (OSNA) nomogram was designed and validated. As a mathematical model, calculated through tumor size (expressed in millimeters) and CK19 mRNA copy number, it is thought to predict nonsentinel lymph node (NSLN) status. The aim of the study is to verify the diagnostic accuracy of the OSNA nomogram in a group of patients with macrometastatic SLN, with a retrospective analysis.

Methods: The OSNA nomogram was retrospectively applied to a group of 66 patients with macrometastatic SLN who underwent ALND. The result of the final histology of the axillary cavity was compared to the nomogram prediction. We calculated the prevalence of NSLN metastasis in patients who underwent ALND, sensitivity and specificity, negative and positive predictive value of the nomogram.

Results: In patients with macrometastasis in SLN, the prevalence of patients with metastatic NSLN was 45%. The sensitivity of the nomogram was excellent (90%). The specificity was low (36%). Positive predictive value amounted to 54%, while negative predictive value was good (81%).

Conclusions: These results suggest that the OSNA nomogram is a valid instrument that can help choose the best surgical strategy for the treatment of axillary cavity. The mathematical model is useful to avoid surgery in a selected group of patients because it accurately predicts NSLN status.

Abstract Image

Abstract Image

Abstract Image

OSNA图在大转移前哨淋巴结患者中的应用:准确性的回顾性评估。
导论:几乎50%到70%的患者因为一个转移前哨淋巴结(SLN)而接受腋窝淋巴结清扫(ALND),在腋窝组织学上没有进一步的转移淋巴结。在此基础上,设计并验证了一步核酸扩增(OSNA)图。作为一个通过肿瘤大小(以毫米表示)和CK19 mRNA拷贝数计算的数学模型,它被认为可以预测非前哨淋巴结(NSLN)的状态。本研究的目的是通过回顾性分析,验证OSNA图在一组大转移性SLN患者中的诊断准确性。方法:回顾性分析66例行ALND的大转移性SLN患者的OSNA图。将腋腔最终组织学结果与模态图预测结果进行比较。我们计算了ALND患者NSLN转移的患病率、敏感性和特异性、nomogram阴性和阳性预测值。结果:SLN大转移患者中,转移性NSLN患者的患病率为45%。图的灵敏度极佳(90%)。特异性较低(36%)。阳性预测值为54%,阴性预测值良好(81%)。结论:OSNA图是一种有效的工具,可以帮助选择治疗腋窝的最佳手术策略。数学模型是有用的,以避免手术在一组选定的病人,因为它准确地预测NSLN状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.10
自引率
3.40%
发文量
22
审稿时长
8 weeks
期刊介绍: Breast Cancer: Basic and Clinical Research is an international, open access, peer-reviewed, journal which considers manuscripts on all areas of breast cancer research and treatment. We welcome original research, short notes, case studies and review articles related to breast cancer-related research. Specific areas of interest include, but are not limited to, breast cancer sub types, pathobiology, metastasis, genetics and epigenetics, mammary gland biology, breast cancer models, prevention, detection, therapy and clinical interventions, and epidemiology and population genetics.
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