Melanoma
Conditions
Keywords
Melanoma
Brief summary
The purpose of this study is to calculate the sensitivity and specificity of a novel imaging device and associated software algorithm in detecting early stage melanoma versus nevi of the skin. The instrument, which was invented by the PI, for the purposes of this study, will be loaned to three external (to Rockefeller) institutions and used on patients who are scheduled for biopsy of pigmented lesions. The purpose of correlating the output screening result of the novel device and the output diagnosis of the gold standard histology analysis procedure is so that these two diagnoses can be compared to generate the number of true positives, true negatives, false positives and false negatives for the novel device. The purpose of disseminating the device to the external institutions is to achieve the appropriate power such that the specificity can be evaluated at 99% sensitivity. The rationale for the power needed in the study is that in order to be clinically useful, the device needs to be extremely sensitive (i.e. 99%) because false negative diagnosis is a dangerous situation, leading to potential progression of melanoma, the most deadly form of skin cancer.
Detailed description
The purpose of this study is to calculate the sensitivity and specificity of a novel imaging device and associated software algorithm in detecting early stage melanoma versus nevi of the skin. The instrument, which was invented by the PI, for the purposes of this study, will be loaned to three external (to Rockefeller) institutions and used on patients who are scheduled for biopsy of pigmented lesions. The purpose of correlating the output screening result of the novel device and the output diagnosis of the gold standard histology analysis procedure is so that these two diagnoses can be compared to generate the number of true positives, true negatives, false positives and false negatives for the novel device. The purpose of disseminating the device to the external institutions is to achieve the appropriate power such that the specificity can be evaluated at 99% sensitivity. The rationale for the power needed in the study is that in order to be clinically useful, the device needs to be extremely sensitive (i.e. 99%) because false negative diagnosis is a dangerous situation, leading to potential progression of melanoma, the most deadly form of skin cancer. The scientific hypothesis is that the diagnostic mechanism for superficial melanoma is the light tissue interaction that occurs between the blue shifted wavelengths (i.e. blue light, ultra violet light) and the superficial epidermis while the mechanism for diagnosis of deeper melanoma (i.e. Breslow depth \>0.5mm) is the light/tissue interaction that occurs between the red shifted light (i.e. red light, infrared light) and the portion of the pigmented lesion that lies within the dermis. These hypotheses were fueled by initial observations that the diagnostic sensitivity and specificity were wavelength dependent in a study that looked at only the red, green and blue wavelengths as available in traditional digital dermoscopy imaging. The initial finding was that of the multiple features analyzed, more features were statistically significant diagnostics in the blue channel but there were (a relative minority) other features that fared better in the red channel. It is hypothesized that the diagnostic features that did better in the red channel were features of deep melanin while the superficial regions, which should theoretically be atypical in ALL melanomas, were evident in the quantitative endpoint metrics generated from the blue channel.
Interventions
None listed
Sponsors
Oregon Health and Science University
University of California, Irvine
Skin and Cancer Associates
Rockefeller University
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* Participant has normal appearing skin and a suspicious pigmented lesion.
Exclusion criteria
* Lesion near the eyes (due to safety) * Inaccessibility to lesion related to device: ears, toes, fingers, nailbeds, ankles, elbows, genitals * Self-reported history of photosensitivity * Self-reported history of vitiligo and/or other sun sensitive disease
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| A comparison between gold standard histopathology screening results and mAID screening results | Day 1 | A comparison between the gold standard invasive biopsy diagnostic result (melanoma or nevus) and the diagnostic result produced by automated computer image processing that operates on the mAID-produced hyperspectral image. This diagnostic result is defined as the melanoma Q-score, which is the percent likelihood that this lesion is melanoma based on a previous computer-learning algorithm that utilized 53 unique malignancy metrics. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| A comparison between gold standard histopathology screening results and analysis of the standard dermatoscope image. | Day 1 | A comparison between the gold standard invasive biopsy diagnostic result (melanoma or nevus) and the diagnostic result produced by automated computer image processing that operates on the standard dermatoscope image. This diagnostic result is defined as the melanoma Q-score, which is the percent likelihood that this lesion is melanoma based on a previous computer-learning algorithm that utilized 53 unique malignancy metrics. |
Countries
United States
Outcome results
None listed