Application of OSNA Nomogram in Patients With Macrometastatic Sentinel Lymph Node: A Retrospective Assessment of Accuracy. (May 2021)

• Record Type: Journal Article
• Authors: Combi, Francesca; Andreotti, Alessia; Gambini, Anna; Palma, Enza; Papi, Simona; Biroli, Alice; Zaccarelli, Stefania; Ficarra, Guido; Tazzioli, Giovanni
• Is Part Of: Breast cancer. Volume 15(2021)
• Publication Date: 2021-05
• Subjects: Breast neoplasms -- axilla -- sentinel lymph node -- lymph node excision -- nucleic acid amplification techniques -- nomograms; Breast -- Cancer -- Periodicals; 616.99449
• DOI: 10.1177/11782234211014796
• Languages: English
• ISSNs: 1178-2234

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.