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Majumdar A, Lad J, Tumanova K, Serra S, Quereshy F, Khorasani M, Vitkin A. Machine learning based local recurrence prediction in colorectal cancer using polarized light imaging. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:052915. [PMID: 38077502 PMCID: PMC10704263 DOI: 10.1117/1.jbo.29.5.052915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/03/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023]
Abstract
Significance Current treatment for stage III colorectal cancer (CRC) patients involves surgery that may not be sufficient in many cases, requiring additional adjuvant systemic therapy. Identification of this latter cohort that is likely to recur following surgery is key to better personalized therapy selection, but there is a lack of proper quantitative assessment tools for potential clinical adoption. Aim The purpose of this study is to employ Mueller matrix (MM) polarized light microscopy in combination with supervised machine learning (ML) to quantitatively analyze the prognostic value of peri-tumoral collagen in CRC in relation to 5-year local recurrence (LR). Approach A simple MM microscope setup was used to image surgical resection samples acquired from stage III CRC patients. Various potential biomarkers of LR were derived from MM elements via decomposition and transformation operations. These were used as features by different supervised ML models to distinguish samples from patients that locally recurred 5 years later from those that did not. Results Using the top five most prognostic polarimetric biomarkers ranked by their relevant feature importances, the best-performing XGBoost model achieved a patient-level accuracy of 86%. When the patient pool was further stratified, 96% accuracy was achieved within a tumor-stage-III sub-cohort. Conclusions ML-aided polarimetric analysis of collagenous stroma may provide prognostic value toward improving the clinical management of CRC patients.
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Affiliation(s)
- Anamitra Majumdar
- University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada
| | - Jigar Lad
- McMaster University, Department of Physics and Astronomy, Hamilton, Ontario, Canada
| | - Kseniia Tumanova
- University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada
| | - Stefano Serra
- University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, Ontario, Canada
| | - Fayez Quereshy
- University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, Ontario, Canada
| | - Mohammadali Khorasani
- University of British Columbia, Department of Surgery, Victoria, British Columbia, Canada
| | - Alex Vitkin
- University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada
- University of Toronto, Department of Radiation Oncology, Toronto, Ontario, Canada
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2
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Sharma M, Unni SN, Shaji C, Balasubramanian S, Sundaram S. Characterizing colon cancer stages through optical polarimetry-assisted digital staining. Lasers Med Sci 2024; 39:59. [PMID: 38336913 DOI: 10.1007/s10103-024-04006-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 01/25/2024] [Indexed: 02/12/2024]
Abstract
Tissue polarimetry has been gaining importance in extracting useful diagnostic information from the structural attributes of tissues, which vary in response to the tissue health status and hence find great potential in cancer diagnosis. However, the complexities associated with cancer make it challenging to isolate the characteristic changes as the tumor progresses using polarimetry. This study attempts to experimentally characterize the polarimetric behavior in colon cancer associated with various stages of development. Bulk and unstained sections of normal and tumor colon tissue were imaged in the reflection and transmission polarimetry configurations at low and high imaging resolutions using an in-house developed Mueller polarimeter. Through this study, we observed that the information about the major contributors of scattering in colon tissue, manifesting in depolarization and retardance, can be obtained from the bulk tissue and unstained sections. These parameters aid in characterizing the polarimetric changes as the colon tumor progresses. While the unstained colon section best indicated the depolarization contrast between normal and tumor, the contrast through the retardance parameter was more pronounced in the bulk colon tissue. The results suggest that the polarimetric "digitally stained" images obtained by Mueller polarimetry are comparable with the bulk tissue counterparts, making it useful for characterizing colon cancer tissues across different stages of development.
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Affiliation(s)
- Mahima Sharma
- Biophotonics Lab, Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India
| | - Sujatha Narayanan Unni
- Biophotonics Lab, Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India.
| | - Chitra Shaji
- Biophotonics Lab, Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India
| | - Subalakshmi Balasubramanian
- Department of Pathology, Sri Ramachandra Medical College and Research Institute, SRIHER, Porur, Chennai, India
| | - Sandhya Sundaram
- Department of Pathology, Sri Ramachandra Medical College and Research Institute, SRIHER, Porur, Chennai, India
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Tumanova K, Serra S, Majumdar A, Lad J, Quereshy F, Khorasani M, Vitkin A. Mueller matrix polarization parameters correlate with local recurrence in patients with stage III colorectal cancer. Sci Rep 2023; 13:13424. [PMID: 37591987 PMCID: PMC10435541 DOI: 10.1038/s41598-023-40480-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/10/2023] [Indexed: 08/19/2023] Open
Abstract
The peri-tumoural stroma has been explored as a useful source of prognostic information in colorectal cancer. Using Mueller matrix (MM) polarized light microscopy for quantification of unstained histology slides, the current study assesses the prognostic potential of polarimetric characteristics of peri-tumoural collagenous stroma architecture in 38 human stage III colorectal cancer (CRC) patient samples. Specifically, Mueller matrix transformation and polar decomposition parameters were tested for association with 5-year patient local recurrence outcomes. The results show that some of these polarimetric parameters were significantly different (p value < 0.05) for the recurrence versus the no-recurrence patient cohorts (Mann-Whitney U test). MM parameters may thus be prognostically valuable towards improving clinical management/treatment stratification in CRC patients.
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Affiliation(s)
- Kseniia Tumanova
- Department of Medical Biophysics, University of Toronto, Toronto, Canada.
| | - Stefano Serra
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Anamitra Majumdar
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Jigar Lad
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Fayez Quereshy
- Department of Surgery, University of Toronto, Toronto, Canada
| | | | - Alex Vitkin
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
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Nelson MS, Liu Y, Wilson HM, Li B, Rosado-Mendez IM, Rogers JD, Block WF, Eliceiri KW. Multiscale Label-Free Imaging of Fibrillar Collagen in the Tumor Microenvironment. Methods Mol Biol 2023; 2614:187-235. [PMID: 36587127 DOI: 10.1007/978-1-0716-2914-7_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
With recent advances in cancer therapeutics, there is a great need for improved imaging methods for characterizing cancer onset and progression in a quantitative and actionable way. Collagen, the most abundant extracellular matrix protein in the tumor microenvironment (and the body in general), plays a multifaceted role, both hindering and promoting cancer invasion and progression. Collagen deposition can defend the tumor with immunosuppressive effects, while aligned collagen fiber structures can enable tumor cell migration, aiding invasion and metastasis. Given the complex role of collagen fiber organization and topology, imaging has been a tool of choice to characterize these changes on multiple spatial scales, from the organ and tumor scale to cellular and subcellular level. Macroscale density already aids in the detection and diagnosis of solid cancers, but progress is being made to integrate finer microscale features into the process. Here we review imaging modalities ranging from optical methods of second harmonic generation (SHG), polarized light microscopy (PLM), and optical coherence tomography (OCT) to the medical imaging approaches of ultrasound and magnetic resonance imaging (MRI). These methods have enabled scientists and clinicians to better understand the impact collagen structure has on the tumor environment, at both the bulk scale (density) and microscale (fibrillar structure) levels. We focus on imaging methods with the potential to both examine the collagen structure in as natural a state as possible and still be clinically amenable, with an emphasis on label-free strategies, exploiting intrinsic optical properties of collagen fibers.
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Affiliation(s)
- Michael S Nelson
- Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Yuming Liu
- Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA
| | - Helen M Wilson
- Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Bin Li
- Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.,Morgridge Institute for Research, Madison, WI, USA
| | - Ivan M Rosado-Mendez
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Jeremy D Rogers
- Morgridge Institute for Research, Madison, WI, USA.,McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI, USA
| | - Walter F Block
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Kevin W Eliceiri
- Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA. .,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA. .,Morgridge Institute for Research, Madison, WI, USA. .,Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA. .,McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI, USA.
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Shen Y, Huang R, He H, Liu S, Dong Y, Wu J, Ma H. Comparative study of the influence of imaging resolution on linear retardance parameters derived from the Mueller matrix. BIOMEDICAL OPTICS EXPRESS 2021; 12:211-225. [PMID: 33659076 PMCID: PMC7899522 DOI: 10.1364/boe.410989] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/13/2020] [Accepted: 12/02/2020] [Indexed: 05/07/2023]
Abstract
Polarization imaging techniques are emerging tools to provide quantitative information of anisotropic structures, such as the density and orientation distribution of fibers in tissue samples. Recently, it is found that when using Mueller matrix polarimetry to obtain the structural features of tissue samples, some information can be revealed by relatively low-resolution polarization parameter images. Thus, to analyze what kinds of anisotropic optical and structural information contained in high-resolution polarization images are preserved in low-resolution ones, here we carry out a comparative study of the influence of imaging resolution on the Mueller matrix derived linear retardance parameters. We measure the microscopic Mueller matrix of human healthy breast duct tissues and ductal carcinoma in situ (DCIS) tissues, which have distinct typical fibrous structures, using objectives with different numerical aperture. Then we quantitatively compare a group of image texture feature parameters of the linear retardance parameters images under high and low imaging resolutions. The results demonstrate that the fibers density information contained in the texture features of linear retardance δ parameter image are preserved well with the decline of imaging resolution. While for the azimuthal orientation parameter θ which closely related to the spatial location, we still need high imaging resolution to obtain quantitative structural information. The study provides an important criterion to decide which information of fibrous structures can be extracted accurately using transmission Mueller matrix microscope with low numerical aperture objectives.
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Affiliation(s)
- Yuanxing Shen
- Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China
- Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- These authors contributed equally to this work
| | - Rongrong Huang
- Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China
- Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- These authors contributed equally to this work
| | - Honghui He
- Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China
| | - Shaoxiong Liu
- Shenzhen Sixth People's Hospital (Nanshan Hospital), Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, Guangdong 518052, China
| | - Yang Dong
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong 518071, China
| | - Jian Wu
- Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China
| | - Hui Ma
- Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong 518071, China
- Department of Physics, Tsinghua University, Beijing 100084, China
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Chung E, Vitkin A. Photon mayhem: new directions in diagnostic and therapeutic photomedicine. Biomed Eng Lett 2019; 9:275-277. [PMID: 31456888 PMCID: PMC6694341 DOI: 10.1007/s13534-019-00125-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 07/27/2019] [Indexed: 10/26/2022] Open
Affiliation(s)
- Euiheon Chung
- Department of Biomedical Science and Engineering (BMSE), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
- Institute of Integrated Technology, GIST, Gwangju, Republic of Korea
- School of Mechanical Engineering, GIST, Gwangju, Republic of Korea
| | - Alex Vitkin
- Departments of Medical Biophysics, University of Toronto, Toronto, ON Canada
- Departments of Radiation Oncology, University of Toronto, Toronto, ON Canada
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, ON Canada
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