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Prediction of prostate cancer recurrence using quantitative phase imaging
Shamira Sridharan
, Virgilia Macias
, Krishnarao Tangella
, André Kajdacsy-Balla
, Gabriel Popescu
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peer-review
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Keyphrases
Anisotropy
100%
Light Scattering
100%
Quantitative Phase Imaging
100%
Glands
100%
High Risk
100%
Prostate Cancer Recurrence
100%
Recurrent Patients
100%
Pathologist
50%
Spatial Light Interference Microscopy
50%
Clinical Tool
50%
Label-free Method
50%
Tissue Microarray
50%
Radical Prostatectomy
50%
Localised Measurements
50%
Biochemical Recurrence of Prostate Cancer
50%
CAPRA-S
50%
Prostatectomy
50%
Non-recurrent
50%
Recurrence Prediction
50%
Clinical Methods
50%
Tumor-node-metastasis Stage
50%
Gleason Grading
50%
Intermediate Risk
50%
Prostate-specific Antigen Level
50%
Pharmacology, Toxicology and Pharmaceutical Science
Prostate Cancer
100%
Recurrent Disease
100%
Cancer Recurrence
100%
Light Scattering
50%
Neoplasm
25%
Gleason Score
25%
Biochemical Recurrence
25%
Prostate Specific Antigen
25%
Biochemistry, Genetics and Molecular Biology
Anisotropy
100%
Light Scattering
100%
Tissue Microarray
50%
Gleason Score
50%
Prostate-Specific Antigen
50%