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Detection of Skin Cancer with Raman Spectroscopy
Robert Xu, Kevin Yee, Jason Zhang
BME 314: Engineering Foundation of BME
December 5th, 2014
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Background and Motivation:
One in five Americans will develop some form of skin cancer in the course of a lifetime 1.However, skin cancer is a highly treatable disease in most cases, provided that the patient
receive an early diagnosis. For patients whose melanoma is detected before metastasis to
regional lymph nodes and organs, the five year survival rate is a promising 98%2. However, the
survival rate falls to 62% when the cancer has spread to the lymph nodes, and it drops to 16%when it has spread to distant organs3. Thus, it is exceedingly important for the patient to receive
an early and accurate diagnosis when the first signs of skin cancer begin to show.
Spectroscopy, or the study of the interaction between matter and radiated energy, is inherently
noninvasive. Weak light is delivered to the tissue, and the re-emitted light is examined to glean
information about the biochemical state of the sample. This technique offers a rich amount of
information, including biochemical composition, morphology, epithelial architecture, and
hemoglobin concentration4. All of these parameters change as skin cancer develops, so it is
useful to look at changes in these measurements to diagnose or monitor disease progression.
A particular type of spectroscopy based on Raman scattered light is a popular analytic
technique that can be used to evaluate the chemical constitution of certain materials. A Raman
spectroscopic fingerprint can be used to identify chemical culprits of interest. As such, it can beutilized in the field of biomedical optics for diagnosing skin cancer due to its sensitivity in sensing
morphological and physiological changes.
Principles of Raman Scattering and Spectroscopy
Raman spectroscopy is the principle of spectroscopy applied to inelastically scattered light.When light interacts with any molecule, it is absorbed if the photon’s energy is exactly equal to
the energy difference between the ground state of a molecule and its excited state. In other
words, absorption occurs when , where corresponds to the difference in energy E h νΔ = E Δ
between the ground state and excited state, is Planck’s constant, and is the frequency of h ν
the incident photon. Any incoming light that hits the molecule and does not satisfy this equality is
said to be scattered. When the light that is scattered has the same energy as the incident light, it
is said to be elastically scattered, or Rayleigh scattered. On the other hand, if the light that is
scattered is of different energy it is said to be inelastically, or Raman, scattered.
The difference in energy of the photon is essentially caused by their interaction with molecular
vibrations, which can either give energy or receive energy from the photon. If energy from the
molecular vibrations is given off to the photon, then the scattered light is of higher energy,
shorter wavelength, and is said to be anti-Stokes shifted. Photons that lose energy to excite
vibrational modes of the molecule are of lower energy, longer wavelength, and are said to be
Stokes shifted5.
One can shine a laser onto a sample, isolate the Raman scattered light, and pass this light
through a spectroscope, thus separating the scattered light into its spectral components. The
end result is a spectrum that contains valuable information about the chemical structure of thesample. Because of Raman spectroscopy’s ability to generate data that is linked to the inherent
structure of certain molecules, it can be a valuable tool in attempting to characterize the
biochemical state of tissues(Figure 1)6. This makes it a potential diagnostic tool for any lesion
easily accessible by an optical system, such as skin cancer.
A typical optical system designed for Raman spectroscopy consists of components typically
seen in any spectrometer: a light source, a diffraction grating, mirrors, and some sort of detector.
The Raman spectroscope can be made clinically useful by coupling it with an optical
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microscope, thus creating a Raman
microspectroscope system. This introduces
lenses and objectives into the optical path.
Furthermore, a dichroic mirror is needed to
separate as much of the Rayleigh scattering
from the Raman scattering as possible. An
optical fiber can also be coupled to the light
source to make the light delivery and signal
collection component flexible.
The calculations that need to be considered
when constructing these systems can be
based on the basic laws derived from ray
optics to laws rooted in advanced electromagnetic wave theory and quantum mechanics. It turns
out that most of these calculations are usually done by the component manufacturer, which
usually ends up providing the technical specifications of the product. However, this should not
preclude the engineer, doctor, or scientist from having an understanding of the most fundamental
equations in optics.For example, an important parameter to address when selecting an optical fiber is numerical
aperture (NA). For optical fibers, NA is a measure of the light gathering capacity of the fiber. An
expression for NA in terms of the indices of refraction of the core and cladding material can be
derived using Snell’s Law.
From figure 2, an application of Snell’s Law gives us:
sin i sin θ, where n 1 (air )n0 = n1 0 = (1)
The critical angle is smallest possible angle of that allowsθ′
for total internal reflection to occur. It is defined as the angle
, such that such that the angle of refraction becomes 90°θ′ c
at the cladding-core interface. sin θ sin 90n1 ′
c = n2
in θ⇒ s ′ c =
n1
n2 (2)
corresponds to a particular corresponding angle of ,θ′ c
im
which is the maximum angle of incidence light.
from (1). A n sin i sin θ N = 0 m = n1
n sin
(90 θ )n
cos
θn
= 1 − c = 1 ′
c = 1
√1
in θ−
s 2 ′
c
From (2),
A N = n n1√1 in θ− s 2 ′ c = 1√1 )− (
n1n2 2
= √ n12 − n 2
2
Pros and Cons:
Like many emerging technologies, there exists many advantages and disadvantages in utilizing
such science. A major benefit in using Raman spectroscopy to detect skin cancer is its
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non-invasive property. Such a technique will prevent the patient from being exposed to
discomfort or adverse side effects. In addition to the non-destructive nature of this imaging
technique, Raman spectroscopy proves to be quite efficient. This is especially seen in the speed
of acquiring Raman spectra. With the development of ultra-fast Raman spectral imaging
modules, large area survey scans can be completed in seconds or minutes10.
Although Raman spectra can be acquired quickly, the Raman effect itself is very weak. Whenlight strikes a molecule, roughly one in 10 million photons hitting the area will experience a
change in frequency that can be used to determine the characteristics of a sample11. As a result,
these systems require highly sensitized and optimized components costing up to tens of
thousands of dollars to capture, refine, and analyze the signal. However, in the long run, the cost
of Raman spectroscopy would be far less than that of the current diagnostic methods 4.
Competing Technologies:
Currently the gold standard for diagnosis is clinical examination, followed by skin biopsy and cell
staining. This is an expensive, time-consuming, and invasive process. Furthermore, many
patients, who tend to err on the side of caution, undergo biopsies of suspicious lesions and end
up receiving a negative result for skin cancer 4. This leads to more financial burden and
unnecessary discomfort for the patient. So, there is a pressing need for developing better
techniques for diagnosis of skin cancer .
There are several technologies that compete with Raman scattering, one of them being
multispectral multiphoton fluorescence lifetime imaging. This is also a spectroscopic technique,
but it differs slightly in the mechanism of light-absorption and reemission.
Multispectral multiphoton fluorescence lifetime imaging (MPT) is a technique that excites
fluorescence through absorption of two or more photons of infrared light. A high intensity laser is
used to gather information from specific points, and then images are generated using a raster
scanning technique. Raster scanning is a technique in which many points are scanned, and then
a spectral array is assembled from those individual points 12. This is different from Raman
scattering in that Raman spectroscopy generates a spectrum from inelastically scattered light,while MTP is concerned with fluorescence spectra.
Future trends and developments:
In the future, we hope to integrate Raman spectroscopy into modular systems that can be used
in the clinic. Sharma et al. have developed a novel fiber-optic probe that utilizes Raman
spectroscopy, as well as two other types of spectroscopy, to make accurate measurements of
liquid phantoms with less than 10% error 7. Furthermore, by integrating a confocal Raman
microspectroscope into a probe, it could be used in a wide variety of clinical settings and
situations with higher resolution.
Ideally, this probe would be able to be used in applications such as Mohs surgery, where the
surgeon removes cancerous tissue slice by slice. After every slice is removed, a pathologistmust look at the sample and decide whether it is still necessary to remove more tissue. This
process can be made more efficient by using a fiber-optic probe system as described above.
With further research, one could go to the dermatologist with suspicious moles or lesions and
know the biochemical composition. morphology, and physiology of the lesion within a few
minutes. The dermatologist could then make the appropriate diagnosis based on these
measurements.
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References
1. Robinson, J. K. Sun exposure, sun protection, and vitamin D.
2. Ries, L. A. G., Melbert, D. & Krapcho, M. SEER Cancer Statistics Review, 1975-2004. at
<http://seer.cancer.gov/csr/1975_2004/>
3. American Cancer Society. Cancer Facts & Figures. (2014).
4. Lim, L. Clinical, non-invasive in vivo diagnosis of skin cancer using multimodal Spectral
Diagnosis. (2013). at <http://repositories.lib.utexas.edu/handle/2152/23196>
5. Opilik, L., Schmid, T. & Zenobi, R. Modern Raman Imaging: Vibrational Spectroscopy on the
Micrometer and Nanometer Scales. Annu. Rev. Anal. Chem. 6, 379–398 (2013).
6. Feng, X. Confocal Raman Microspectroscope for the Assessment of Human Skin. (2014)
7. Woodward, Bill and Emile B. Husson. Fiber Optics and Technicians Installer Study Guide.
San Francisco: Sybex, 2005.
8. Downing, James. Fiber Optic Communications. Clifton Park: Thomson Delmar Learning,
2004.
9. Prakash, Satya. Physics: Vol. 1,2. City: V K Publications, 2008.
10. Poll, S. et al. On-line detection of cholesterol and calcification by catheter based Ramanspectroscopy in human atherosclerotic plaque ex vivo. Heart 89, 1078–1082 (2003).
11. Savage, N. Raman Laser Could Identify Explosives at a Distance - IEEE Spectrum. at
<http://spectrum.ieee.org/tech-talk/semiconductors/optoelectronics/raman-laser-could-id-exp
losives-at-a-distance>
12. Patalay, R. et al. Multiphoton Multispectral Fluorescence Lifetime Tomography for the
Evaluation of Basal Cell Carcinomas. PLoS ONE 7, 1–9 (2012).
13. Garcia-Uribe, A. et al. In Vivo Diagnosis of Melanoma and Nonmelanoma Skin Cancer Using
Oblique Incidence Diffuse Reflectance Spectrometry. Cancer Research 72, 2738–2745
(2012).
14. Sharma, M., Marple, E., Reichenberg, J. & Tunnell, J. W. Design and characterization of a
novel multimodal fiber-optic probe and spectroscopy system for skin cancer applications.
Rev. Sci. Instrum. 85, 083101 (2014).