CytoPAN—Portable cellular analyses for rapid point-of-care cancer diagnosis
Jouha Min, L. K. Chin, Juhyun Oh, Christian Landeros, Claudio Vinegoni, Jeeyeon Lee, Soo Jung Lee, Ji Young Park, A. Q. Liu, Cesar M. Castro, Hakho Lee, Hyungsoon Im, Ralph Weissleder
Abstract
= 68), we showed that the diagnostic accuracy was 100% for cancer detection and the receptor subtyping accuracy was 96% for human epidermal growth factor receptor 2 and 93% for hormonal receptors (ER/PR), two key biomarkers associated with breast cancer. A combination of FNA and CytoPAN offers faster, less invasive cancer diagnoses than the current standard (core biopsy and histopathology). This approach should enable the ability to more rapidly diagnose breast cancer in global and remote settings.
Topics & Concepts
Point of careProfiling (computer programming)MedicineCancerPathologyFlow cytometryComputer scienceImmunologyInternal medicineOperating systemCell Image Analysis TechniquesCancer Cells and MetastasisAdvanced Biosensing Techniques and Applications