Abstract
Background: Digital dermoscopic image analysis of pigmented skin lesions (PSLs) has become increasingly popular, despite its unclear clinical utility. Unbiased, high-powered studies investigating the efficacy of commercially available systems are limited. Objective: To investigate the diagnostic performance of the FotoFinder Mole-Analyzer in assessing PSLs for cutaneous melanoma. Methods: In this 15-year retrospective study, the histopathologies of 1076 biopsied PSLs among a total of 2500 imaged PSLs were collected. The biopsied PSLs were categorized as benign or malignant (cutaneous melanoma) based on histopathology. Analyzer scores (0-1.00) for these PSLs were obtained and grouped according to histopathology. Results: At an optimized cutoff score of 0.50, a sensitivity of 56% and a specificity of 74% were achieved. The area under the receiver operating characteristics curve was 0.698, indicating poor accuracy as a diagnostic tool. Limitations: This study had a retrospective design and involved only a single institution. Conclusion: Our study reveals a low sensitivity of the scoring function of this digital dermoscopic image analyzer for detecting cutaneous melanomas. Physicians must apply keen clinical judgment when using such devices in the screening of suspicious PSLs.
Original language | English (US) |
---|---|
Pages (from-to) | 927-934.e6 |
Journal | Journal of the American Academy of Dermatology |
Volume | 78 |
Issue number | 5 |
DOIs | |
State | Published - May 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:
© 2017 American Academy of Dermatology, Inc.
Keywords
- computer-aided diagnosis
- diagnostic accuracy
- digital dermoscopy
- image analysis
- melanoma
- pigmented skin lesions
- screening
- skin cancer
- test sensitivity
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del Rosario, F., Farahi, J. M., Drendel, J., Buntinx-Krieg, T., Caravaglio, J., Domozych, R., Chapman, S., Braunberger, T., Dellavalle, R. P., Norris, D. A., Fathi, R., & Alkousakis, T. (2018). Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies. Journal of the American Academy of Dermatology, 78(5), 927-934.e6. https://doi.org/10.1016/j.jaad.2017.01.049
Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies. / del Rosario, Francis; Farahi, Jessica M.; Drendel, Jesse et al.
In: Journal of the American Academy of Dermatology, Vol. 78, No. 5, 05.2018, p. 927-934.e6.
Research output: Contribution to journal › Article › peer-review
del Rosario, F, Farahi, JM, Drendel, J, Buntinx-Krieg, T, Caravaglio, J, Domozych, R, Chapman, S, Braunberger, T, Dellavalle, RP, Norris, DA, Fathi, R & Alkousakis, T 2018, 'Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies', Journal of the American Academy of Dermatology, vol. 78, no. 5, pp. 927-934.e6. https://doi.org/10.1016/j.jaad.2017.01.049
del Rosario F, Farahi JM, Drendel J, Buntinx-Krieg T, Caravaglio J, Domozych R et al. Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies. Journal of the American Academy of Dermatology. 2018 May;78(5):927-934.e6. doi: 10.1016/j.jaad.2017.01.049
del Rosario, Francis ; Farahi, Jessica M. ; Drendel, Jesse et al. / Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies. In: Journal of the American Academy of Dermatology. 2018 ; Vol. 78, No. 5. pp. 927-934.e6.
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title = "Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies",
abstract = "Background: Digital dermoscopic image analysis of pigmented skin lesions (PSLs) has become increasingly popular, despite its unclear clinical utility. Unbiased, high-powered studies investigating the efficacy of commercially available systems are limited. Objective: To investigate the diagnostic performance of the FotoFinder Mole-Analyzer in assessing PSLs for cutaneous melanoma. Methods: In this 15-year retrospective study, the histopathologies of 1076 biopsied PSLs among a total of 2500 imaged PSLs were collected. The biopsied PSLs were categorized as benign or malignant (cutaneous melanoma) based on histopathology. Analyzer scores (0-1.00) for these PSLs were obtained and grouped according to histopathology. Results: At an optimized cutoff score of 0.50, a sensitivity of 56% and a specificity of 74% were achieved. The area under the receiver operating characteristics curve was 0.698, indicating poor accuracy as a diagnostic tool. Limitations: This study had a retrospective design and involved only a single institution. Conclusion: Our study reveals a low sensitivity of the scoring function of this digital dermoscopic image analyzer for detecting cutaneous melanomas. Physicians must apply keen clinical judgment when using such devices in the screening of suspicious PSLs.",
keywords = "computer-aided diagnosis, diagnostic accuracy, digital dermoscopy, image analysis, melanoma, pigmented skin lesions, screening, skin cancer, test sensitivity",
author = "{del Rosario}, Francis and Farahi, {Jessica M.} and Jesse Drendel and Talayesa Buntinx-Krieg and Joseph Caravaglio and Renee Domozych and Stephanie Chapman and Taylor Braunberger and Dellavalle, {Robert P.} and Norris, {David A.} and Ramin Fathi and Theodore Alkousakis",
note = "Publisher Copyright: {\textcopyright} 2017 American Academy of Dermatology, Inc.",
year = "2018",
month = may,
doi = "10.1016/j.jaad.2017.01.049",
language = "English (US)",
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T1 - Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies
AU - del Rosario, Francis
AU - Farahi, Jessica M.
AU - Drendel, Jesse
AU - Buntinx-Krieg, Talayesa
AU - Caravaglio, Joseph
AU - Domozych, Renee
AU - Chapman, Stephanie
AU - Braunberger, Taylor
AU - Dellavalle, Robert P.
AU - Norris, David A.
AU - Fathi, Ramin
AU - Alkousakis, Theodore
N1 - Publisher Copyright:© 2017 American Academy of Dermatology, Inc.
PY - 2018/5
Y1 - 2018/5
N2 - Background: Digital dermoscopic image analysis of pigmented skin lesions (PSLs) has become increasingly popular, despite its unclear clinical utility. Unbiased, high-powered studies investigating the efficacy of commercially available systems are limited. Objective: To investigate the diagnostic performance of the FotoFinder Mole-Analyzer in assessing PSLs for cutaneous melanoma. Methods: In this 15-year retrospective study, the histopathologies of 1076 biopsied PSLs among a total of 2500 imaged PSLs were collected. The biopsied PSLs were categorized as benign or malignant (cutaneous melanoma) based on histopathology. Analyzer scores (0-1.00) for these PSLs were obtained and grouped according to histopathology. Results: At an optimized cutoff score of 0.50, a sensitivity of 56% and a specificity of 74% were achieved. The area under the receiver operating characteristics curve was 0.698, indicating poor accuracy as a diagnostic tool. Limitations: This study had a retrospective design and involved only a single institution. Conclusion: Our study reveals a low sensitivity of the scoring function of this digital dermoscopic image analyzer for detecting cutaneous melanomas. Physicians must apply keen clinical judgment when using such devices in the screening of suspicious PSLs.
AB - Background: Digital dermoscopic image analysis of pigmented skin lesions (PSLs) has become increasingly popular, despite its unclear clinical utility. Unbiased, high-powered studies investigating the efficacy of commercially available systems are limited. Objective: To investigate the diagnostic performance of the FotoFinder Mole-Analyzer in assessing PSLs for cutaneous melanoma. Methods: In this 15-year retrospective study, the histopathologies of 1076 biopsied PSLs among a total of 2500 imaged PSLs were collected. The biopsied PSLs were categorized as benign or malignant (cutaneous melanoma) based on histopathology. Analyzer scores (0-1.00) for these PSLs were obtained and grouped according to histopathology. Results: At an optimized cutoff score of 0.50, a sensitivity of 56% and a specificity of 74% were achieved. The area under the receiver operating characteristics curve was 0.698, indicating poor accuracy as a diagnostic tool. Limitations: This study had a retrospective design and involved only a single institution. Conclusion: Our study reveals a low sensitivity of the scoring function of this digital dermoscopic image analyzer for detecting cutaneous melanomas. Physicians must apply keen clinical judgment when using such devices in the screening of suspicious PSLs.
KW - computer-aided diagnosis
KW - diagnostic accuracy
KW - digital dermoscopy
KW - image analysis
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KW - pigmented skin lesions
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