Tatiana Brambilla, Barbara Fiamengo, Corrado Tinterri, Alberto Testori, Massimo Maria Grassi, Amedeo Sciarra, Tommaso Abbate, Wolfgang Gatzemeier, Massimo Roncalli, Luca Di Tommaso
Abstract
Sentinel lymph node (SLN) examination is a standard in breast cancer patients, with several methods employed along its 20 years history, the last one represented by one-step nucleic acid amplification (OSNA). The latter is a intra-operative molecular assay searching for CK19 mRNA as a surrogate of metastatic cells. Our 3 years experience with OSNA (1122 patients) showed results overlapping those recorded in the same institution with a morphological evaluation (930 patients) of SLN. In detail, the data of OSNA were almost identical to those observed with standard post-operative procedure in terms of patients with positive SLN (30%) and micrometastatic/macrometastatic involvement of SLN (respectively, 38-45 and 62-55%). By contrast, when OSNA was compared to the standard intraoperatory procedure, it was superior in terms of accuracy, prompting the use of this molecular assay as a very valid, and reproducible for intra-operative evaluation of SLN. Further possibilities prompting the use of OSNA range from adhesion to quality control programs, saving of medical time, ability to predict, during surgery, additional nodal metastasis, and molecular bio-banking.
Pharmacology, Toxicology and Pharmaceutical Science
1
7%
Other
0
0%
Unknown
1
7%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2015.
All research outputs
#20,283,046
of 22,817,213 outputs
Outputs from Frontiers in Medicine
#4,872
of 5,641 outputs
Outputs of similar age
#223,097
of 267,034 outputs
Outputs of similar age from Frontiers in Medicine
#11
of 12 outputs
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