Abstract

Early detection of skin cancer is of critical importance since the five-year survival rate for early detected skin malignancies is 99% but drops to 27% for cancer that has spread to distant lymph nodes and other organs. Over 2.5 million benign skin biopsies (55% of the total) are performed each year in the US at an alarming cost of USD ~2.5 B. Therefore there is an unmet need for novel non-invasive diagnostic approaches to better differentiate between cancerous and non-cancerous lesions, especially in cases when there is a legitimate doubt that a biopsy may be required. The purpose of this study is to determine whether the differences in the extracellular matrices among normal skin, actinic keratosis (AK), basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) can be assessed non-invasively using vibrational optical coherence tomography (VOCT). VOCT is a new diagnostic technology that uses infrared light and audible sound applied transversely to tissue to measure the resonant frequencies and elastic moduli of cells, dermal collagen, blood vessels and fibrous tissue in skin and lesion stroma without physically touching the skin. Our results indicate that the cellular, vascular and fibrotic resonant frequency peaks are altered in AK, BCC and SCC compared to those peaks observed in normal skin and can serve as physical biomarkers defining the differences between benign and cancerous skin lesions. The resonant frequency is increased from a value of 50 Hz in normal skin to a value of about 80 Hz in pre- and cancerous lesions. A new vascular peak is seen at 130 Hz in cancerous lesions that may reflect the formation of new tumor blood vessels. The peak at 260 Hz is similar to that seen in the skin of a subject with Scleroderma and skin wounds that have healed. The peak at 260 Hz appears to be associated with the deposition of large amounts of stiff fibrous collagen in the stroma surrounding cancerous lesions. Based on the results of this pilot study, VOCT can be used to non-invasively identify physical biomarkers that can help differentiate between benign and cancerous skin lesions. The appearance of new stiff cellular, fragile new vessels, and stiff fibrous material based on resonant frequency peaks and changes in the extracellular matrix can be used as a fingerprint of pre- and cancerous skin lesions.

Highlights

  • 5 million patients develop skin cancer in the United States each year [1]and current predictions are that by age 70, one out of five Americans will develop some form of skin cancer [1,2,3,4]

  • Lesions that could be clearly located based on the visual camera and optical coherence tomography (OCT) images were included in the study data to ensure that the measurements reported were collected on well-characterized areas of the lesions

  • We reported a new technique to measure the stiffness of the components of extracellular matrix (ECM) noninvasively in vivo using vibrational optical coherence tomography (VOCT) [20,21,32,33,34,35,36,37]

Read more

Summary

Introduction

5 million patients develop skin cancer in the United States each year [1]and current predictions are that by age 70, one out of five Americans will develop some form of skin cancer [1,2,3,4]. 5 million patients develop skin cancer in the United States each year [1]. Detection is of critical importance since the five-year survival rate for early detected skin malignancies is 99% but drops to 27% for cancer that has Biomolecules 2021, 11, 1712. Skin lesion analysis is performed by specialized dermatologists through visual or dermoscopic evaluation [9,10,11]. These techniques have a poor diagnostic ability and over 2.5 million benign skin biopsies (55% of the total) are performed each year at an alarming cost of USD ~2.5 B [12,13]. It is important to elucidate whether changes in the biophysical properties of extracellular matrix (ECM) surrounding epithelial lesions is a physical biomarker or fingerprint that can be used to characterize different lesion types

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call