Optical coherence tomography confirms non‐malignant pigmented lesions in phacomatosis pigmentokeratotica using a support vector machine learning algorithm

Lee, Jenna; Beirami, Mohammad Javad; Ebrahimpour, Reza; Puyana, Carolina; Tsoukas, Maria M.; Avanaki, Kamran

doi:10.1111/srt.13377

Cited by 7 publications

(1 citation statement)

References 105 publications

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“…Given the high mortality associated with melanoma depth and metastasis, there is an urgent need for accurate, noninvasive methods to detect and monitor the disease. As a result, several noninvasive imaging techniques have been developed for skin imaging 15 – 17 including, among others, infrared imaging, hyperspectral/multispectral imaging, reflectance confocal microscopy (RCM), optical coherence tomography (OCT), 18 – 35 and photoacoustic (PA) imaging (PAI) 36 – 40 Many noninvasive imaging modalities have been used to study different aspects of CM, as comprehensively described in review articles 41 …”

Section: Introductionmentioning

confidence: 99%

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Fakhoury,

Lara,

Manwar

et al. 2024

J. Biomed. Opt.

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Significance: Cutaneous melanoma (CM) has a high morbidity and mortality rate, but it can be cured if the primary lesion is detected and treated at an early stage. Imaging techniques such as photoacoustic (PA) imaging (PAI) have been studied and implemented to aid in the detection and diagnosis of CM.Aim: Provide an overview of different PAI systems and applications for the study of CM, including the determination of tumor depth/thickness, cancer-related angiogenesis, metastases to lymph nodes, circulating tumor cells (CTCs), virtual histology, and studies using exogenous contrast agents.Approach: A systematic review and classification of different PAI configurations was conducted based on their specific applications for melanoma detection. This review encompasses animal and preclinical studies, offering insights into the future potential of PAI in melanoma diagnosis in the clinic.Results: PAI holds great clinical potential as a noninvasive technique for melanoma detection and disease management. PA microscopy has predominantly been used to image and study angiogenesis surrounding tumors and provide information on tumor characteristics. Additionally, PA tomography, with its increased penetration depth, has demonstrated its ability to assess melanoma thickness. Both modalities have shown promise in detecting metastases to lymph nodes and CTCs, and an alloptical implementation has been developed to perform virtual histology analyses. Animal and human studies have successfully shown the capability of PAI to detect, visualize, classify, and stage CM.Conclusions: PAI is a promising technique for assessing the status of the skin without a surgical procedure. The capability of the modality to image microvasculature, visualize tumor boundaries, detect metastases in lymph nodes, perform fast and label-free histology, and identify CTCs could aid in the early diagnosis and classification of CM, including determination of metastatic status. In addition, it could be useful for monitoring treatment efficacy noninvasively.

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Section: Introductionmentioning

confidence: 99%

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Fakhoury,

Lara,

Manwar

et al. 2024

J. Biomed. Opt.

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High‐frequency photoacoustic and ultrasound imaging for skin evaluation: Pilot study for the assessment of a chemical burn

Benavides‐Lara,

Siegel,

Tsoukas

et al. 2024

Journal of Biophotonics

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Skin architecture and its underlying vascular structure could be used to assess the health status of skin. A non‐invasive, high resolution and deep imaging modality able to visualize skin subcutaneous layers and vasculature structures could be useful for determining and characterizing skin disease and trauma. In this study, a multispectral high‐frequency, linear array‐based photoacoustic/ultrasound (PAUS) probe is developed and implemented for the imaging of rat skin in vivo. The study seeks to demonstrate the probe capabilities for visualizing the skin and its underlying structures, and for monitoring changes in skin structure and composition during a 5‐day course of a chemical burn. We analayze composition of lipids, water, oxy‐hemoglobin, and deoxy‐hemoglobin (for determination of oxygen saturation) in the skin tissue. The study successfully demonstrated the high‐frequency PAUS imaging probe was able to provide 3D images of the rat skin architecture, underlying vasculature structures, and oxygen saturation, water, lipids and total hemoglobin.

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Rapid measurement of epidermal thickness in OCT images of skin

Lin,

Lukas,

Rajabi-Estarabadi

et al. 2024

Sci Rep

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Epidermal thickness (ET) changes are associated with several skin diseases. To measure ET, segmentation of optical coherence tomography (OCT) images is essential; manual segmentation is very time-consuming and requires training and some understanding of how to interpret OCT images. Fast results are important in order to analyze ET over different regions of skin in rapid succession to complete a clinical examination and enable the physician to discuss results with the patient in real time. The well-known CNN-graph search (CNN-GS) methodology delivers highly accurate results, but at a high computational cost. Our objective was to build a computational core, based on CNN-GS, able to accurately segment OCT skin images in real time. We accomplished this by fine-tuning the hyperparameters, testing a range of speed-up algorithms including pruning and quantization, designing a novel pixel-skipping process, and implementing the final product with efficient use of core and threads on a multicore central processing unit (CPU). We name this product CNN-GS-skin. The method identifies two defined boundaries on OCT skin images in order to measure ET. We applied CNN-GS-skin to OCT skin images, taken from various body sites of 63 healthy individuals. Compared with CNN-GS, our described method reduced computation time by 130 $$\times$$ × with minimal reduction in ET determination accuracy (from 96.38 to 94.67%).

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Optical coherence tomography confirms non‐malignant pigmented lesions in phacomatosis pigmentokeratotica using a support vector machine learning algorithm

Cited by 7 publications

References 105 publications

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

High‐frequency photoacoustic and ultrasound imaging for skin evaluation: Pilot study for the assessment of a chemical burn

Rapid measurement of epidermal thickness in OCT images of skin

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