Value of multiphoton microscopy in uro-oncology: a narrative review

Treacy, Patrick-Julien; Khosla, Akshita; Kyprianou, Natasha; Falagario, Ugo Giovanni; Tsavaras, Nikos; Wiklund, Peter; Tewari, Ashutosh; Durand, Matthieu

doi:10.21037/tau-21-973

Cited by 5 publications

(1 citation statement)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the past two decades, MPM has been widely used for detection and evaluation of numerous different tumors, benign and malignant, in various conditions, as well as identifying the presence of tumor capsule (20).…”

Section: Introductionmentioning

confidence: 99%

New Insights into Renal Neoplasm Differentiation: Nonlinear Microscopy's Breakthrough Advantages

Nikolic,

Zivotic,

Mioljevic

et al. 2023

Preprint

View full text Add to dashboard Cite

Multiphoton microscopy (MPM) is a cutting-edge nonlinear microscopy technique known for its exceptional capabilities in imaging dense tissues, making it an ideal tool for exploring human kidney tissue. This study delves into the application of MPM in evaluating renal cell tumors and characterizing tumor capsules. MPM encompasses two core methods: two-photon excitation fluorescence (TPEF) and second harmonic generation (SHG). It leverages femtosecond lasers to provide deep tissue imaging while minimizing phototoxicity, making it well-suited for live tissue analysis. The study analyzed 100 formalin-fixed paraffin-embedded (FFPE) kidney tissue samples, ensuring compliance with ethical standards. Using a Ti:Sapphire laser for femtosecond pulses and a variety of optical components and filters, the researchers captured TPEF and SHG signals, facilitating image analysis. Normal kidney tissue exhibited distinctive structures like glomeruli and tubules under MPM. Renal cell carcinoma (ccRCC) displayed unique TPEF patterns with eccentrically located nuclei and indistinct cytoplasmic membranes. Papillary RCC (pRCC) exhibited a papillary pattern with dark nuclei, while chromophobe RCC (chRCC) showcased distinct features like thick cell membranes, strong TPEF signal in nuclei, and granular cytoplasm. Renal oncocytoma (RO) presented strong TPEF signals in cuboidal cells with microcyst-like arrangements. Overall, MPM proved invaluable in assessing human kidney tissue, offering distinct TPEF patterns for different renal cell tumor types. This non-invasive technique has the potential to enhance pathological examinations and advance our understanding of complex biological processes, ultimately contributing to improved diagnostics and treatment strategies for renal diseases.

show abstract

Section: Introductionmentioning

confidence: 99%

New Insights into Renal Neoplasm Differentiation: Nonlinear Microscopy's Breakthrough Advantages

Nikolic,

Zivotic,

Mioljevic

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Label‐free imaging diagnosis and collagen‐optical evaluation of endometrioid adenocarcinoma with multiphoton microscopy

Liu,

Liu

et al. 2024

Journal of Biophotonics

View full text Add to dashboard Cite

The assessment of tumor grade and pathological stage plays a pivotal role in determining the treatment strategy and predicting the prognosis of endometrial cancer. In this study, we employed multiphoton microscopy (MPM) to establish distinctive optical pathological signatures specific to endometrioid adenocarcinoma (EAC), while also assessing the diagnostic sensitivity, specificity, and accuracy of MPM for this particular malignancy. The MPM technique exhibits robust capability in discriminating between benign hyperplasia and various grades of cancer tissue, with statistically significant differences observed in nucleocytoplasmic ratio and second harmonic generation/two‐photon excited fluorescence intensity. Moreover, by utilizing semi‐automated image analysis, we identified notable disparities in six collagen signatures between benign and malignant endometrial stroma. Our study demonstrates that MPM can differentiate between benign endometrial hyperplasia and EAC without labels, while also quantitatively assessing changes in the tumor microenvironment by analyzing collagen signatures in the endometrial stromal tissue.

show abstract

Fast Multiphoton Microscopic Imaging Joint Image Super‐Resolution for Automated Gleason Grading of Prostate Cancers

Huang,

Wang,

et al. 2024

Journal of Biophotonics

View full text Add to dashboard Cite

Gleason grading system is dependable for quantifying prostate cancer. This paper introduces a fast multiphoton microscopic imaging method via deep learning for automatic Gleason grading. Due to the contradiction between multiphoton microscopy (MPM) imaging speed and quality, a deep learning architecture (SwinIR) is used for image super‐resolution to address this issue. The quality of low‐resolution image is improved, which increased the acquisition speed from 7.55 s per frame to 0.24 s per frame. A classification network (Swin Transformer) was introduced for automated Gleason grading. The classification accuracy and Macro‐F1 achieved by training on high‐resolution images are respectively 90.9% and 90.9%. For training on super‐resolution images, the classification accuracy and Macro‐F1 are respectively 89.9% and 89.9%. It shows that super‐resolution image can provide a comparable performance to high‐resolution image. Our results suggested that MPM joint image super‐resolution and automatic classification methods hold the potential to be a real‐time clinical diagnostic tool for prostate cancer diagnosis.

show abstract

Value of multiphoton microscopy in uro-oncology: a narrative review

Cited by 5 publications

References 48 publications

New Insights into Renal Neoplasm Differentiation: Nonlinear Microscopy's Breakthrough Advantages

New Insights into Renal Neoplasm Differentiation: Nonlinear Microscopy's Breakthrough Advantages

Label‐free imaging diagnosis and collagen‐optical evaluation of endometrioid adenocarcinoma with multiphoton microscopy

Fast Multiphoton Microscopic Imaging Joint Image Super‐Resolution for Automated Gleason Grading of Prostate Cancers

Contact Info

Product

Resources

About