After separating the patient tissue from the control tissue, the APP automatically finds the invasive tumor tissue and distinguishes it from healthy tissue, necrosis or carcinoma in situ regions. The APP will disregard any non invasive tissue for further analysis.
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PR, Breast Cancer, AI
In immunohistochemistry (IHC), progesteron receptor (PR) is used to determine prognosis in breast cancer. The American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) recommends that the PR status of patients is determined on all invasive breast cancers and breast cancer recurrences [1]. It is recommended that the PR status of the tumor is considered positive if there are at least 1 % positive tumor nuclei in a tissue sample.
The APP work fully automated in an integrated setting, from detecting the patient tissue to exporting the relevant outputs.
Details
Quantitative Output variables
The outputs of the device are:
Total Nuclei [#],
which is the total count of detected nuclei in all invasive tissue
Positive Nuclei [%],
which is a value between 0 and 100 and is calculated as
Positive Nuclei [%] = (Number of PR positive nuclei)/(Total number of nuclei) × 100
An optional output is the
Allred Score,
which is a value between 0 and 8 and is calculated as
Allred Score = Proportion Score + Intensity Score
where Proportion Score is a value between 0 and 5 which reflects the positive percentage, and Intensity Score is a value between 0 and 3 which reflects the intensity of the PR positive nuclei.
The secondary outputs of the device are:
Neg Nuclei (#), which is the number of tumor nuclei negative for PR
Pos Nuclei (#), which is the number of tumor nuclei positive for PR
Allred Proportion Score
Allred Intensity Score
References
- Allison KH et al., Estrogen and Progesterone Receptor Testing in Breast Cancer: ASCO/CAP Guideline Update. J Clin Oncol. 2020 Link