Richard R Winkelmann1, Aaron S Farberg2, Natalie Tucker3, Richard White4, Darrell S Rigel5. 1. Department of Dermatology, OhioHealth, Columbus, Ohio; 2. Clinical Research Fellow, National Society of Cutaneous Medicine, New York, New York; 3. STRATA Skin Sciences, Inc, Horsham, Pennsylvania; 4. Iris Interactive System, Cody, Wyoming; 5. Clinical Professor of Dermatology, New York University School of Medicine, New York, New York.
Abstract
BACKGROUND: Early detection and subsequent management of melanoma are critical for patient survival. New technologies have been developed to augment clinician analysis of suspicious pigmented skin lesions. OBJECTIVE: To determine how information provided by a multispectral digital skin lesion analysis device affects the biopsy decisions of international dermatologists following clinical and dermoscopic pigmented skin lesion evaluation. METHODS: Participants at a dermoscopy conference in Vienna, Austria, were shown 12 clinical and dermoscopic images of pigmented skin lesions (2 melanomas in situ, 3 invasive melanomas, and 7 low-grade dysplastic nevi) previously analyzed by multispectral digital skin lesion analysis. Participants were asked if they would biopsy the lesion based on clinical images, again after observing high-resolution dermoscopy images, and again when subsequently shown multispectral digital skin lesion analysis information. RESULTS: Data were analyzed from a total of 70 international dermatologists. Overall, sensitivity was 58 percent after clinical evaluation (C) and 59 percent post-dermoscopy (D), but 74 percent after multispectral digital skin lesion analysis. Participant specificity was 56 percent (C) decreasing to 51 percent (D), but increasing to 61 percent with multispectral digital skin lesion analysis. Diagnostic accuracy was 57 percent (C) decreasing to 54 percent (D), but increasing to 67 percent for dermatologists after integrating the multispectral digital skin lesion analysis data into the biopsy decision. The overall number of lesions biopsied increased from 50 percent (C) to 53 percent (D), rising to 54 percent after multispectral digital skin lesion analysis. CONCLUSION: Decisions to biopsy melanocytic lesions were more sensitive and specific when multispectral digital skin lesion analysis information was provided with no significant increase in the number of biopsies recommended. Providing multispectral digital skin lesion analysis data may lead to additional improvement in biopsy accuracy with a concomitant decrease in the number of nonessential biopsies for pigmented skin lesions even after dermoscopic evaluation.
BACKGROUND: Early detection and subsequent management of melanoma are critical for patient survival. New technologies have been developed to augment clinician analysis of suspicious pigmented skin lesions. OBJECTIVE: To determine how information provided by a multispectral digital skin lesion analysis device affects the biopsy decisions of international dermatologists following clinical and dermoscopic pigmented skin lesion evaluation. METHODS:Participants at a dermoscopy conference in Vienna, Austria, were shown 12 clinical and dermoscopic images of pigmented skin lesions (2 melanomas in situ, 3 invasive melanomas, and 7 low-grade dysplastic nevi) previously analyzed by multispectral digital skin lesion analysis. Participants were asked if they would biopsy the lesion based on clinical images, again after observing high-resolution dermoscopy images, and again when subsequently shown multispectral digital skin lesion analysis information. RESULTS: Data were analyzed from a total of 70 international dermatologists. Overall, sensitivity was 58 percent after clinical evaluation (C) and 59 percent post-dermoscopy (D), but 74 percent after multispectral digital skin lesion analysis. Participant specificity was 56 percent (C) decreasing to 51 percent (D), but increasing to 61 percent with multispectral digital skin lesion analysis. Diagnostic accuracy was 57 percent (C) decreasing to 54 percent (D), but increasing to 67 percent for dermatologists after integrating the multispectral digital skin lesion analysis data into the biopsy decision. The overall number of lesions biopsied increased from 50 percent (C) to 53 percent (D), rising to 54 percent after multispectral digital skin lesion analysis. CONCLUSION: Decisions to biopsy melanocytic lesions were more sensitive and specific when multispectral digital skin lesion analysis information was provided with no significant increase in the number of biopsies recommended. Providing multispectral digital skin lesion analysis data may lead to additional improvement in biopsy accuracy with a concomitant decrease in the number of nonessential biopsies for pigmented skin lesions even after dermoscopic evaluation.
Authors: D Gutkowicz-Krusin; M Elbaum; A Jacobs; S Keem; A W Kopf; H Kamino; S Wang; P Rubin; H Rabinovitz; M Oliviero Journal: Melanoma Res Date: 2000-12 Impact factor: 3.599
Authors: Gary Monheit; Armand B Cognetta; Laura Ferris; Harold Rabinovitz; Kenneth Gross; Mary Martini; James M Grichnik; Martin Mihm; Victor G Prieto; Paul Googe; Roy King; Alicia Toledano; Nikolai Kabelev; Maciej Wojton; Dina Gutkowicz-Krusin Journal: Arch Dermatol Date: 2010-10-18
Authors: M Elbaum; A W Kopf; H S Rabinovitz; R G Langley; H Kamino; M C Mihm; A J Sober; G L Peck; A Bogdan; D Gutkowicz-Krusin; M Greenebaum; S Keem; M Oliviero; S Wang Journal: J Am Acad Dermatol Date: 2001-02 Impact factor: 11.527
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Matthew J Grainge; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Jacqueline Dinnes; Naomi Chuchu; Susan E Bayliss; Clare Davenport; Rubeta N Matin; Kathie Godfrey; Colette O'Sullivan; Abha Gulati; Sue Ann Chan; Alana Durack; Susan O'Connell; Matthew D Gardiner; Jeffrey Bamber; Jonathan J Deeks; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Jacqueline Dinnes; Jonathan J Deeks; Matthew J Grainge; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04