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TOPICS: Collagen, Melanoma, Second harmonic generation, Tumors, Biological imaging, Cancer, Animal model studies, Optical imaging, In vivo imaging, Visualization
The study by Heaton et al. marks a significant advancement in understanding the role of collagen remodeling within the melanoma tumor microenvironment during immunotherapy. Using in vivo second-harmonic generation imaging, the authors quantitatively tracked dynamic changes in collagen morphology in a preclinical melanoma model, revealing a shift toward a healthier phenotype associated with treatment. These findings enhance our understanding of tumor extracellular matrix dynamics and highlight the potential of optical imaging technologies to guide and optimize cancer immunotherapy. This commentary will explore these findings, contextualize them within the broader field of tumor immunology, and discuss their implications for improving immunotherapy strategies in melanoma and other cancers.
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The commentary remarks on recent work that demonstrates the power of multimodal, label-free imaging to elucidate radiation resistance mechanisms and provides a useful method for plotting multivariable imaging data, uncovering metabolic heterogeneity bulk analyses would miss.
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In the United States, colorectal cancer is the third leading cause of cancer death. Colonoscopy with polyp removal may suffer from incomplete resection. Collagen is altered in dysplastic tissue and can be studied with second harmonic generation (SHG) imaging. SHG imaging endoscopes require miniaturized scanning components, which greatly adds to endoscope complexity.
Aim
We investigate whether non-imaging, randomly sampled SHG line or point intensity measurements are sufficient to distinguish normal tissue from tumor and tumor-adjacent tissue.
Approach
Unstained tumor, normal, and tumor-adjacent thin sections from 10 colorectal cancer subjects were imaged using a multiphoton microscope with constant power. SHG signal from collagen was isolated by grayscale thresholding, and the grayscale mean of the image was calculated. Supra-threshold pixels and lines of pixels in the image were randomly selected to simulate point sampling and line scanning.
Results
The mean SHG signal from normal samples was significantly greater than adjacent samples (p<0.05) and tumor samples (p<0.01). For both sampling types, the p-value becomes reliable after randomly sampling only 1000 times.
Conclusions
Reliable cancer detection information may be obtained through non-imaging SHG intensity measurements. A simple endoscope with this capability could help identify suspicious masses or optimum surgical margins.
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Joseph C. Jing, Khodayar Goshtasbi, Yong Wang, Jason J. Chen, Erica Su, Ellen M. Hong, Katelyn D. Dilley, Yan Li, Frances B. Lazarow, Anthony Chin Loy, David Shamouelian, Said E. Elghobashi, Zhongping Chen, Brian J. F. Wong
There are important limitations to the current diagnostic tools for obstructive sleep apnea (OSA). This warrants the development of a more accurate, minimally invasive, and objective tool to better characterize upper airway airflow obstruction during sleep.
Methods
Swept-source optical coherence tomography (OCT) as a range-finding technique was utilized for upper airway volumetric reconstruction. An acousto-optic modulator was integrated into the OCT system for extending the imaging range to be suitable for the typical diameter of the upper airway. High spatial resolution images were acquired at 25frames/s and translated at 12.5mm/s before manual segmentation for three-dimensional (3D) reconstruction and numerical analysis. The Lattice-Boltzmann method as a computational fluid dynamics (CFD) technique was utilized to pinpoint the precise locations of turbulent airflow in the airspace.
Results
Upper airway OCT imaging of a 28-year-old individual with sleep disorder breathing was obtained during awake and sleep periods. The volumetric structure and 3D reconstruction of the upper airway through a micrometer-resolution optical imaging approach were successfully demonstrated. Cross-sectional volumetric changes from awake to sleep periods were calculated, and the greatest airway obstruction was observed at the level of the oropharynx. In addition to CFD analysis, measuring airflow pressure differences along the upper airway aided in accurately localizing the dominant sites of obstruction during sleep.
Conclusion
The combination of the proposed OCT imaging system with 3D remodeling and CFD analysis led to accurate reconstruction of the upper airway and identification of obstruction sites during sleep. This technology can improve surgical decision-making and outcomes in OSA.
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