Label-free histological imaging of skin cancers with photoacoustic remote sensing virtual histology

Ecclestone, Benjamin R.; Bell, Kevan; Boktor, Marian; Pekar, Vladimir; Taher, Muba; Dinakaran, Deepak; Mackey, John R.; Reza, Parsin Haji

doi:10.1117/12.2609176

Cited by 1 publication

(2 citation statements)

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“…267,268 This technique has very recently been applied to the analysis of skin biopsies suspected for melanoma. 269,270 3.6 Exogenous Contrast Agents for Melanoma Detection PAI most commonly utilizes intrinsic (endogenous) contrast agents, such as melanin and oxyand deoxy hemoglobin to assess melanomas. 271 However, an exogenous, melanoma-specific contrast agent could assist in assessing early-stage melanomas, tumor staging, surgical excision planning, detection of lymph node metastases, and detection of CTCs.…”

Section: Virtual Histologymentioning

confidence: 99%

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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: Virtual Histologymentioning

confidence: 99%

“…These enable high-resolution images remarkably analogous to traditional chemical haematoxylin and eosin (H&E) staining 267 , 268 . This technique has very recently been applied to the analysis of skin biopsies suspected for melanoma 269 , 270…”

Section: Investigations Of CM Using Paimentioning

confidence: 99%