ArticleScientific reports2021
3D Mueller matrix mapping of layered distributions of depolarisation degree for analysis of prostate adenoma and carcinoma diffuse tissues.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 74 citations in OpenAlex.
- Probing polarization response of monolayer cell cultures with entangled photon pairs.Journal of biophotonics · 2025Article
- Diffraction order-engineered polarization-dependent silicon nano-antennas metagrating for compact subtissue Mueller microscopy.Nanophotonics (Berlin, Germany) · 2025Article
- Reconstructing Three-Dimensional Optical Anisotropy with Tomographic Müller-Polarimetric Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Mueller matrix polarimetry for quantitative evaluation of the Achilles tendon injury recovery.Frontiers of optoelectronics · 2024Article
- Insights into polycrystalline microstructure of blood films with 3D Mueller matrix imaging approach.Scientific reports · 2024Article
- Müller matrix polarimetry for pancreatic tissue characterization.Scientific reports · 2023Article
- Mueller Matrix Microscopy for In Vivo Scar Tissue Diagnostics and Treatment Evaluation.Sensors (Basel, Switzerland) · 2022Article
- Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging.Biomedical optics express · 2022Article
- Recombinant Spidroin Microgel as the Base of Cell-Engineered Constructs Mediates Liver Regeneration in Rats.Polymers · 2022Article
- Polarization memory rate as a metric to differentiate benign and malignant tissues.Biomedical optics express · 2022Article
- Differentiation of Human GBM From Non-GBM Brain Tissue With Polarization Imaging Technique.Frontiers in oncology · 2022Article
- Polarimetric data-based model for tissue recognition.Biomedical optics express · 2021Article
- Polarization and depolarization metrics as optical markers in support to histopathology ofBiomedical optics express · 2021Article
- Composite polarization systems for independent controlling polarization of two beams with different wavelengths.Biomedical optics express · 2021Article
- Toward a quantitative method for estimating tumour-stroma ratio in breast cancer using polarized light microscopy.Biomedical optics express · 2021Article
- Lateral-Type Spin-Photonics Devices: Development and Applications.Micromachines · 2021Review
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Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is the second most common cancer globally in men, and in some countries is now the most diagnosed form of cancer. It is necessary to differentiate between benign and malignant prostate conditions to give accurate diagnoses. We aim to demonstrate the use of a 3D Mueller matrix method to allow quick and easy clinical differentiation between prostate adenoma and carcinoma tissues with different grades and Gleason scores. Histological sections of benign and malignant prostate tumours, obtained by radical prostatectomy, were investigated. We map the degree of depolarisation in the different prostate tumour tissues using a Mueller matrix polarimeter set-up, based on the superposition of a reference laser beam with the interference pattern of the sample in the image plane. The depolarisation distributions can be directly related to the morphology of the biological tissues. The dependences of the magnitude of the 1st to 4th order statistical moments of the depolarisation distribution are determined, which characterise the distributions of the depolarisation values. To determine the diagnostic potential of the method three groups of histological sections of prostate tumour biopsies were formed. The first group contained 36 adenoma tissue samples, while the second contained 36 carcinoma tissue samples of a high grade (grade 4: poorly differentiated-4 + 4 Gleason score), and the third group contained 36 carcinoma tissue samples of a low grade (grade 1: moderately differentiated-3 + 3 Gleason score). Using the calculated values of the statistical moments, tumour tissues are categorised as either adenoma or carcinoma. A high level (> 90%) accuracy of differentiation between adenoma and carcinoma samples was achieved for each group. Differentiation between the high-grade and low-grade carcinoma samples was achieved with an accuracy of 87.5%. The results demonstrate that Mueller matrix mapping of the depolarisation distribution of prostate tumour tissues can accurately differentiate between adenoma and carcinoma, and between different grades of carcinoma. This represents a first step towards the implementation of 3D Mueller matrix mapping for clinical analysis and diagnosis of prostate tumours.
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