Quantitative in situ imaging and grading of oral precancer with attenuation corrected-optical coherence tomography

Ghosh, Biswajoy; Bhandari, Avishek; Mandal, Mousumi; Paul, Ranjan Rashmi; Pal, Mousumi; Mitra, Pabitra; Chatterjee, Jyotirmoy

doi:10.1016/j.oraloncology.2021.105216

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…On the other hand, increased mechanical stiffness due to collagen accumulation in sub-epithelium can affect cellular behaviour 44 in the epithelium, resulting in altered keratin expression in the epithelium. OSF is a disease of collagen abnormality in the sub-epithelium that progresses into the cancer of epithelium 45 . Potentially, the cross-talk between collagen and keratin has specific clinical relevance 46 and our studies have further confirmed such an event.…”

Section: Discussionmentioning

confidence: 99%

Molecular histopathology of matrix proteins through autofluorescence super-resolution microscopy

Ghosh,

Chatterjee,

Paul

et al. 2024

Sci Rep

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Extracellular matrix diseases like fibrosis are elusive to diagnose early on, to avoid complete loss of organ function or even cancer progression, making early diagnosis crucial. Imaging the matrix densities of proteins like collagen in fixed tissue sections with suitable stains and labels is a standard for diagnosis and staging. However, fine changes in matrix density are difficult to realize by conventional histological staining and microscopy as the matrix fibrils are finer than the resolving capacity of these microscopes. The dyes further blur the outline of the matrix and add a background that bottlenecks high-precision early diagnosis of matrix diseases. Here we demonstrate the multiple signal classification method-MUSICAL-otherwise a computational super-resolution microscopy technique to precisely estimate matrix density in fixed tissue sections using fibril autofluorescence with image stacks acquired on a conventional epifluorescence microscope. We validated the diagnostic and staging performance of the method in extracted collagen fibrils, mouse skin during repair, and pre-cancers in human oral mucosa. The method enables early high-precision label-free diagnosis of matrix-associated fibrotic diseases without needing additional infrastructure or rigorous clinical training.

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Section: Discussionmentioning

confidence: 99%

Molecular histopathology of matrix proteins through autofluorescence super-resolution microscopy

Ghosh,

Chatterjee,

Paul

et al. 2024

Sci Rep

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“…In addition to characterizing structural changes, OCT augmented with special features such as spectral analysis (22) and Doppler shift algorithms (21) could also provide functional images depicting hemoglobin concentration and blood flow information, respectively. However, OCT probes and setups are sensitive optical imaging systems with limited field of view and often suffer from attenuation loss, revealing speckles and bright artifacts due to multiple scattering of light (23,24). Further, OCT systems are commonly bulky and expensive and are not commensurate with the restrictive infrastructure inevitable in resource-limited settings.…”

mentioning

confidence: 99%

Portable, handheld, and affordable blood perfusion imager for screening of subsurface cancer in resource-limited settings

Bhowmik

Ghosh

Pal³

et al. 2022

Proc. Natl. Acad. Sci. U.S.A.

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Precise information on localized variations in blood circulation holds the key for noninvasive diagnostics and therapeutic assessment of various forms of cancer. While thermal imaging by itself may provide significant insights on the combined implications of the relevant physiological parameters, viz. local blood perfusion and metabolic balance due to active tumors as well as the ambient conditions, knowledge of the tissue surface temperature alone may be somewhat inadequate in distinguishing between some ambiguous manifestations of precancer and cancerous lesions, resulting in compromise of the selectivity in detection. This, along with the lack of availability of a user-friendly and inexpensive portable device for thermal-image acquisition, blood perfusion mapping, and data integration acts as a deterrent against the emergence of an inexpensive, contact-free, and accurate in situ screening and diagnostic approach for cancer detection and management. Circumventing these constraints, here we report a portable noninvasive blood perfusion imager augmented with machine learning–based quantitative analytics for screening precancerous and cancerous traits in oral lesions, by probing the localized alterations in microcirculation. With a proven overall sensitivity >96.66% and specificity of 100% as compared to gold-standard biopsy-based tests, the method successfully classified oral cancer and precancer in a resource-limited clinical setting in a double-blinded patient trial and exhibited favorable predictive capabilities considering other complementary modes of medical image analysis as well. The method holds further potential to achieve contrast-free, accurate, and low-cost diagnosis of abnormal microvascular physiology and other clinically vulnerable conditions, when interpreted along with complementary clinically evidenced decision-making perspectives.

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Viewing life without labels under optical microscopes

Ghosh

Agarwal

2023

Commun Biol

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Optical microscopes today have pushed the limits of speed, quality, and observable space in biological specimens revolutionizing how we view life today. Further, specific labeling of samples for imaging has provided insight into how life functions. This enabled label-based microscopy to percolate and integrate into mainstream life science research. However, the use of labelfree microscopy has been mostly limited, resulting in testing for bio-application but not bio-integration. To enable bio-integration, such microscopes need to be evaluated for their timeliness to answer biological questions uniquely and establish a long-term growth prospect. The article presents key label-free optical microscopes and discusses their integrative potential in life science research for the unperturbed analysis of biological samples.

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Quantitative in situ imaging and grading of oral precancer with attenuation corrected-optical coherence tomography

Cited by 6 publications

References 7 publications

Molecular histopathology of matrix proteins through autofluorescence super-resolution microscopy

Molecular histopathology of matrix proteins through autofluorescence super-resolution microscopy

Portable, handheld, and affordable blood perfusion imager for screening of subsurface cancer in resource-limited settings

Viewing life without labels under optical microscopes

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