This study aimed to evaluate the concept of using high-resolution optical coherence tomography (OCT) imaging to rapidly assess surgical specimens and determine if cancer positive margins were left behind in the surgical bed. A mouse model of breast cancer was used in this study. Surgical specimens from 30 animals were investigated with OCT and automated interpretation of the OCT images was performed and tested against histopathology findings. Specimens from 10 animals were used to build a training set of OCT images, while the remaining 20 specimens were used for a validation set of images. The validation study showed that automated interpretation of OCT images can differentiate tissue types and detect cancer positive margins with at least 81% sensitivity and 89% specificity. The findings of this pilot study suggest that OCT imaging of surgical specimens and automated interpretation of OCT data may enable in the future real-time feedback to the surgeon about margin status in patients with breast cancer, and potentially with other types of cancers. Currently, such feedback is not provided and if positive margins are left behind, patients have to undergo another surgical procedure. Therefore, this approach can have a potentially high impact on breast surgery outcome.
Burn depth objective classification is of paramount importance for decision making and treatment. Despite the wide variety of burn depth assessment methods tested so far, none of them have gained wide clinical application. Here, we introduce a new approach for burn depth assessment based on hyperspectral imaging combined with a spectral indexbased technique that exploits specific spectral bands to map skin areas with different burn degrees. The spectral index amplifies the contrast between normal skin and areas with different degrees of burn, taking advantage of the differences in spectral amplitudes that occur as a result of the morphological and physiological changes occurring in burned skin. We demonstrate that by using the new measurable spectral index, it is possible to generate accurate burn classification maps showing spatial distribution of burn types in the affected body areas, facilitating the decision-making process and prognosis evaluation. The results highlight the potential of the new hyperspectral metric in the field of burn depth classification and its applicability in hospital settings seems promising.
This paper studies optical, chemical and photoinduced changes in amorphous AsS films, obtained by nanosecond pulsed‐laser ablation of a As40S60 target. The arsenic content of the films is slightly higher than the target composition and depends on the ablation fluence. The photobleaching phenomenon appears after 1–2 min of bandgap laser irradiation. The refractive index diminishes by 0.07 and the transmission approximately doubles. It was established for the first time that films obtained by pulsed laser deposition exhibit a positive resist behavior in amine‐containing etchant. The etching rate of the irradiated film was 0.12 µm/min, while as‐deposited films have lower etching rate. The measured selectivity rate was of 14:1. A 2D high‐quality hole array was produced by direct laser writing and further etching. The unusual behavior can be a result of different glass network formation during the condensation of AsSn molecules sputtered from the bulk target. This is different from the case of thermally evaporated films where AsS1 molecules only were identified in gas‐phase by mass spectrometry.
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