Quantitative Automated Image Analysis System with Automated Debris Filtering for the Detection of Breast Carcinoma Cells

Abstract

Objective: To develop an intraoperative method for margin status evaluation during breast conservation therapy (BCT) using an automated analysis of imprint cytology specimens. Study Design: Imprint cytology samples were prospectively taken from 47 patients undergoing either BCT or breast reduction surgery. Touch preparations from BCT patients were taken on cut sections through the tumor to generate positive margin controls. For breast reduction patients, slide imprints were taken at cuts through the center of excised tissue. Analysis results from the presented technique were compared against standard pathologic diagnosis. Slides were stained with cytokeratin and Hoechst, imaged with an automated fluorescent microscope, and analyzed with a fast algorithm to automate discrimination between epithelial cells and noncellular debris. Results: The accuracy of the automated analysis was 95% for identifying invasive cancers compared against final pathologic diagnosis. The overall sensitivity was 87% while specificity was 100% (no false positives). This is comparable to the best reported results from manual examination of intraoperative imprint cytology slides while reducing the need for direct input from a cytopathologist. Conclusion: This work demonstrates a proof of concept for developing a highly accurate and automated system for the intraoperative evaluation of margin status to guide surgical decisions and lower positive margin rates.

Evaluation of Mitotic Activity Index in Breast Cancer Using Whole Slide Digital Images

“…Furthermore, running automated MAI scoring on WSI would be a step forward and will assist in the objective determination of mitotic activity and hence tumor grading. Automatic detection of cancerous epithelial cells on imprint cytology slides created from breast cancer specimens [35] , automated measurement of nuclear size in breast cancer [36] , has already been tried with acceptable results.…”

Przegląd metod śródoperacyjnej oceny marginesów w chirurgicznym leczeniu oszczędzającym gruczoł piersiowy

“…The advantage of this method compared to FSA is no consumption of tissue material and shorter evaluation time [15]. Additionally, the assessed impression captures the entire surface of the specimen (the entire margin), and not only selected areas [15,18]. The sensitivity and specificity of this method is comparable to FSA and account for up to 72% and 97%, respectively [15].…”

“…For this reason, it is necessary to cooperate with a pathologist who has extensive experience in cytological assessment. It is worth noting that there are attempts to automate this assessment method [18].…”

Gene based Disease Prediction and Medicine Providence Through Consortium Reliant Visage Prognostication Model for Iot Health Monitoring

“…At present, different types of data have been used to predict interactions of the disease-gene, and networks of protein-protein interaction (PPI) [12] are the most commonly used proof. Previous algorithms attempted to predict interactions between the disease-gene [13] by using the topological structure of PPI networks directly. Universal PPI networks downloaded from online databases, however, generate lots of false positives [14], and the prediction accuracy cannot be further improved only by using them.…”