The uPath HER2 (4B5) image analysis for Breast algorithm is
designed to work for the PATHWAY HER2 (4B5) Assay. The test
results are only as good as the quality and accuracy of the IHC
slide that is imaged, and the subsequent image that is analyzed.
The pathologist must validate the PATHWAY HER2 (4B5) Assay
staining run by manual microscopic examination of the HER2
control slides to verify that the expected results have been
obtained before images of slides are accessioned onto the
uPath RUO enterprise software for analysis.
Use the manufacturer’s recommendations for the PATHWAY
HER2 (4B5) Assay including using all positive and negative
quality control materials for each staining run. If the control
slides are not acceptable with manual microscopic examination,
restain the tissue with acceptable results.
The pathologist must follow the recommendations for
PATHWAY HER2 (4B5) Assay interpretation.
Refer to the PATHWAY HER2 (4B5) Assay method sheet
(P/N 14427EN) and interpretation guide (P/N 1499100EN)
(available at www.ventana.com).
The uPath HER2 (4B5) image analysis for Breast algorithm is
designed for use by a qualified pathologist in conjunction with
histological examination and proper controls. It is not designed
to be a standalone tool, and requires competent human
intervention throughout the analysis process.
The uPath HER2 (4B5) image analysis for Breast algorithm
may generate incorrect scores if the captured images have
abnormal staining (nuclear staining, pigmentation, etc.).
The uPath HER2 (4B5) image analysis for Breast algorithm will
reject tumor nuclei that are elongated regardless of the overall
shape of the cell. For this reason, tumors containing large
numbers of cells with elongated tumor nuclei may need to be
evaluated manually.
The uPath HER2 (4B5) image analysis for Breast algorithm has
been trained, developed, and validated on invasive lobular,
ductal, mucinous, medullary, papillary, and micropapillary
breast carcinomas as well as a few metastatic lesions.
The uPath HER2 (4B5) image analysis for Breast algorithm has
not been tested, or its safety and effectiveness validated, when
used with a personal computer (PC) from home.
The uPath HER2 (4B5) image analysis for Breast algorithm is
designed to be sensitive to the color brown (DAB staining)
to ensure even faint membrane staining is detected. For this
reason, it can incorrectly score a tissue sample containing brown
artifacts such as pigmentation, background staining in muscle
fibers or any other artifacts that are stained brown. There are
tools within the uPath RUO enterprise software that will allow the
pathologist to exclude such areas. These are discussed in more
detail in the staining characteristics section.
Limitations
uPath HER2 (4B5) image analysis for Breast Algorithm Guide (RUO) 5