UNASSIGNED: Successful breast conserving surgery consists of complete removal of the @entity5 while sparing healthy surrounding tissue. Despite currently available imaging and margin assessment tools, recognizing @entity5 tissue at a resection margin during surgery is challenging. @entity1893 ( @entity1893 ), which uses light for tissue characterization, can potentially guide surgeons to prevent @entity5 positive margins. However, inter- @entity1 variation and changes in tissue physiology occurring during the resection might hamper this light-based technology. Here we investigate how inter- @entity1 variation and tissue status (in vivo vs ex vivo) affect the performance of the @entity1893 optical parameters. In vivo and ex vivo measurements of 45 @entity0 @entity1 were obtained and quantified with an analytical model to acquire the optical parameters. The optical parameter representing the ratio between fat and water provided the best discrimination between normal and @entity5 tissue, with an area under the receiver operating characteristic curve of 0.94. There was no substantial influence of other @entity1 factors such as menopausal status on optical measurements. Contrary to expectations, normalization of the optical parameters did not improve the discriminative power. Furthermore, measurements taken in vivo were not significantly different from the measurements taken ex vivo. These findings indicate that @entity1893 is a robust technology for the detection of @entity5 tissue during breast conserving surgery.

Using @entity1893 during breast conserving surgery: identifying robust optical parameters and influence of inter- XXXX variation.

@entity5 :: ('MESH:D009369', 'Disease') :: ['tumor'] @entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity1893 :: ('MESH:D008228', 'Disease') :: ['DRS', 'Diffuse reflectance spectroscopy'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer']
@entity1 :: (9606,Species) :: ['patient']
