Using Reflectance Confocal Microscopy in Skin Cancer Diagnosis

Haroon, Attiya; Shafi, Shahram; Rao, Babar

doi:10.1016/j.det.2017.06.007

Cited by 23 publications

(16 citation statements)

References 16 publications

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“…Currently, reflectance confocal microscopy (RCM) is employed for imaging of Zn(PT) 2 after its topical application . RCM has recently been recognized as an emerging diagnostic tool for skin diseases such as skin cancer and inflammatory disorders due to its high spatial resolution, noninvasive nature and ability to acquire images in real time . Despite the demonstrated therapeutic benefits, RCM has several shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Optical Characterization of Zinc Pyrithione

Sandiford

Holmes

Mangion

et al. 2019

Photochem & Photobiology

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Zinc pyrithione is ubiquitous in commercial products particularly antidandruff shampoos. For the efficacy of zinc pyrithione therapeutic cleansers to be assessed accurately, the distribution of particles on the scalp needs to be visualized. Currently, no technique is available which provides the chemical specificity and sensitivity required. Here, we report application of fluorescence‐lifetime imaging microscopy (FLIM) for high‐contrast mapping of zinc pyrithione distribution on the scalp. Characterization of the zinc pyrithione emission by using both one‐photon excitation at five specific wavelengths and two‐photon excitation in the range of 740–820 nm revealed its FLIM fingerprint—a characteristic short average time‐weighted emission lifetime of ΤZnPT = 250 ps. Bandpass‐filtering FLIM signals at ΤZnPT enabled an efficient discrimination between the zinc pyrithione and major endogenous skin species in comparison with that of the conventional reflectance confocal microscopy. Our findings provide means for in vivo high‐sensitivity assaying and high‐contrast imaging of zinc pyrithione in biological systems.

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Section: Introductionmentioning

confidence: 99%

Optical Characterization of Zinc Pyrithione

Sandiford

Holmes

Mangion

et al. 2019

Photochem & Photobiology

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“…For example, Gutta and Cheng in their work used DCT of an autocorrelation function for biometric recognition using ECG signals . Also, in the field of cancer prediction and diagnosis (concerning what we are doing here), Lahmiri and Boukadoum have investigated DCT and Radon Transforms (RT) as a feature extraction tool in order to perform mammogram classification based on Support Vector Machine (SVM) . These researches support the idea that cosine transform is promising as a feature.…”

Section: Introductionmentioning

confidence: 84%

Early diagnosis of skin cancer by ultrasound frequency analysis

Kia

Setayeshi

Pouladian

et al. 2019

J Applied Clin Med Phys

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The diagnosis of cancer by modern computer tools, at the very first stages of the incident, is a very important issue that has involved many researchers. In the meantime, skin cancer is a great deal of research because many people are involved with it. The purpose of this paper is to introduce an innovative method based on tissue frequency analyzes to obtain the accurate and real‐time evaluation of skin cancers. According to the Biological resonance theory, body cells have natural and unique frequencies based on their biological fluctuations, which, if the structure, profile and cellular status change, its frequency also varies. This concept and theory is considered as the basis for analyzing skin tissue health in the proposed method. Reflected ultrasound waves from tissue have been processed and studied based on frequency analysis as a new method for early detection and diagnosis of accurate location and type of skin diseases. The developed algorithm was approved through 400 patients from CRED; its ability to evaluate benign and malignant skin lesions was shown (AUC = 0.959), with comparable clinical precision; as for the selected threshold, sensitivity, and specificity were 93.8% and 97.3%, respectively. Therefore, this method can detect skin malignancy with an accurate, noninvasive and real‐time procedure.

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“…89 Confocal microscopy can be used for surface applications, such as dermatologic imaging. [90][91][92][93] Endoscope-based confocal imaging devices have been developed, termed confocal laser endomicroscopy (CLE), which allow for luminal organ imaging. Endoscope-based CLE is a device that incorporates a scanner into the endoscope to scan the pinpoint beam across the tissue to generate a 2-dimensional image.…”

Section: Optical Imaging Modalitiesmentioning

confidence: 99%

In Vivo and Ex Vivo Microscopy: Moving Toward the Integration of Optical Imaging Technologies Into Pathology Practice

Wells

Thrall

Sorokina

et al. 2018

Archives of Pathology &Amp; Laboratory Medicine

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The traditional surgical pathology assessment requires tissue to be removed from the patient, then processed, sectioned, stained, and interpreted by a pathologist using a light microscope. Today, an array of alternate optical imaging technologies allow tissue to be viewed at high resolution, in real time, without the need for processing, fixation, freezing, or staining. Optical imaging can be done in living patients without tissue removal, termed in vivo microscopy, or also in freshly excised tissue, termed ex vivo microscopy. Both in vivo and ex vivo microscopy have tremendous potential for clinical impact in a wide variety of applications. However, in order for these technologies to enter mainstream clinical care, an expert will be required to assess and interpret the imaging data. The optical images generated from these imaging techniques are often similar to the light microscopic images that pathologists already have expertise in interpreting. Other clinical specialists do not have this same expertise in microscopy, therefore, pathologists are a logical choice to step into the developing role of microscopic imaging expert. Here, we review the emerging technologies of in vivo and ex vivo microscopy in terms of the technical aspects and potential clinical applications. We also discuss why pathologists are essential to the successful clinical adoption of such technologies and the educational resources available to help them step into this emerging role.

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Using Reflectance Confocal Microscopy in Skin Cancer Diagnosis

Cited by 23 publications

References 16 publications

Optical Characterization of Zinc Pyrithione

Optical Characterization of Zinc Pyrithione

Early diagnosis of skin cancer by ultrasound frequency analysis

In Vivo and Ex Vivo Microscopy: Moving Toward the Integration of Optical Imaging Technologies Into Pathology Practice

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