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Oxilia A, González VM, Larralde M. [Translated article] Pink Tumor on the Forehead. ACTAS DERMO-SIFILIOGRAFICAS 2023; 114:T909-T910. [PMID: 37678629 DOI: 10.1016/j.ad.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 07/04/2022] [Indexed: 09/09/2023] Open
Affiliation(s)
- A Oxilia
- Dermatología Oncológica y Dermatoscopia, Hospital Alemán, CABA, Argentina.
| | - V M González
- Servicio de Dermatología, Hospital Alemán, CABA, Argentina
| | - M Larralde
- Servicio de Dermatología, Hospital Alemán, CABA, Argentina
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Oxilia A, González VM, Larralde M. Pink Tumor on the Forehead. ACTAS DERMO-SIFILIOGRAFICAS 2023; 114:909-910. [PMID: 37331617 DOI: 10.1016/j.ad.2022.07.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 06/20/2022] [Accepted: 07/04/2022] [Indexed: 06/20/2023] Open
Affiliation(s)
- A Oxilia
- Dermatología Oncológica y Dermatoscopia, Hospital Alemán, CABA, Argentina.
| | - V M González
- Servicio de Dermatología, Hospital Alemán, CABA, Argentina
| | - M Larralde
- Servicio de Dermatología, Hospital Alemán, CABA, Argentina
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Daneshjou R, Vodrahalli K, Novoa RA, Jenkins M, Liang W, Rotemberg V, Ko J, Swetter SM, Bailey EE, Gevaert O, Mukherjee P, Phung M, Yekrang K, Fong B, Sahasrabudhe R, Allerup JAC, Okata-Karigane U, Zou J, Chiou AS. Disparities in dermatology AI performance on a diverse, curated clinical image set. SCIENCE ADVANCES 2022; 8:eabq6147. [PMID: 35960806 PMCID: PMC9374341 DOI: 10.1126/sciadv.abq6147] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/30/2022] [Indexed: 06/10/2023]
Abstract
An estimated 3 billion people lack access to dermatological care globally. Artificial intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However, most AI models have not been assessed on images of diverse skin tones or uncommon diseases. Thus, we created the Diverse Dermatology Images (DDI) dataset-the first publicly available, expertly curated, and pathologically confirmed image dataset with diverse skin tones. We show that state-of-the-art dermatology AI models exhibit substantial limitations on the DDI dataset, particularly on dark skin tones and uncommon diseases. We find that dermatologists, who often label AI datasets, also perform worse on images of dark skin tones and uncommon diseases. Fine-tuning AI models on the DDI images closes the performance gap between light and dark skin tones. These findings identify important weaknesses and biases in dermatology AI that should be addressed for reliable application to diverse patients and diseases.
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Affiliation(s)
- Roxana Daneshjou
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
- Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA
| | - Kailas Vodrahalli
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Roberto A. Novoa
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
- Department of Pathology, Stanford School of Medicine, Stanford, CA, USA
| | - Melissa Jenkins
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Weixin Liang
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Veronica Rotemberg
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Justin Ko
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Susan M. Swetter
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Elizabeth E. Bailey
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Olivier Gevaert
- Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA
| | - Pritam Mukherjee
- Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA
| | - Michelle Phung
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Kiana Yekrang
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Bradley Fong
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Rachna Sahasrabudhe
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | - Johan A. C. Allerup
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
| | | | - James Zou
- Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - Albert S. Chiou
- Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA
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Ray A, Panda M, Samant S, Mohanty P. A rare case of inverted follicular keratosis in an elderly male: Dermoscopic and histopathological overview with therapeutic response to imiquimod. Indian J Dermatol Venereol Leprol 2021; 87:455. [PMID: 33943061 DOI: 10.25259/ijdvl_224_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 09/01/2020] [Indexed: 11/04/2022]
Affiliation(s)
- Arunima Ray
- Department of DVL, IMS and SUM Hospital, Siksha O Anusundhan University, Bhubaneshwar, Odisha, India
| | - Maitreyee Panda
- Department of DVL, IMS and SUM Hospital, Siksha O Anusundhan University, Bhubaneshwar, Odisha, India
| | - Swati Samant
- Department of Ophthalmology IMS and SUM Hospital, Siksha O Anusundhan University, Bhubaneshwar, Odisha, India
| | - Pranita Mohanty
- Department of Pathology, IMS and SUM Hospital, Siksha O Anusundhan University, Bhubaneshwar, Odisha, India
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Savoia F, Patrizi A, Tabanelli M, Vaccari S, Sacchelli L, DI Altobrando A. Inverted follicular keratosis: dermoscopic features of 23 cases. Ital J Dermatol Venerol 2020; 156:102-103. [PMID: 32129053 DOI: 10.23736/s2784-8671.20.06482-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Francesco Savoia
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Annalisa Patrizi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | | | - Sabina Vaccari
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Lidia Sacchelli
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Ambra DI Altobrando
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy -
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Díez-Montero C, González González D, Pérez Martínez E, Schellini S, Galindo-Ferreiro A. Periocular inverted follicular keratosis: a retrospective series over 17 years. Jpn J Ophthalmol 2019; 63:210-214. [PMID: 30604112 DOI: 10.1007/s10384-018-00650-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Accepted: 10/22/2018] [Indexed: 11/24/2022]
Abstract
PURPOSE To evaluate the demographic, clinical, and histopathologic characteristics of periocular inverted follicular keratosis (IFK), a very rare lesion with poorly defined characteristics. STUDY DESIGN Retrospective case series. METHODS We evaluated 11 patients with clinically diagnosed IFK confirmed by histologic analysis. Data were collected on the patients' demographics, clinical presentation and course of the disease, signs and symptoms, location of the lesion, and outcomes of treatment. RESULTS The patients' mean age was 71 years (range, 32-91 years). Seven (64%) of the patients were female. Eight of the patients (72.7%) had no symptoms, two (18.2%) reported itching, and one (9.1%) had edema and bleeding of the lesion. The lesion affected the upper eyelid in 4 of the patients (36%), the lower lid in 3 of the patients (27%), and the inner canthus in 4 of the patients (36%). CONCLUSIONS IFK has no specific clinical characteristic and thus requires histologic confirmation for its diagnosis and appropriate management.
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Affiliation(s)
- Cecilia Díez-Montero
- Department of Ophthalmology, Rio Hortega University Hospital, Dulzaina St. 2, 47012, Valladolid, Spain
| | | | | | - Silvana Schellini
- Department of Ophthalmology, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia
| | - Alicia Galindo-Ferreiro
- Department of Ophthalmology, Rio Hortega University Hospital, Dulzaina St. 2, 47012, Valladolid, Spain.
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Abstract
Cutaneous adnexal tumors include lesions with apocrine, eccrine, follicular, sebaceous, and mixed differentiation. Most are benign and sporadic, although malignant forms are occasionally observed and some cases develop in the setting of inherited syndromes. These tumors often cause immense diagnostic difficulty. Dermoscopy is a noninvasive technique that has greatly improved the diagnostic accuracy of different skin lesions, including these tumors. We provide a review of the literature on the dermoscopic structures and patterns associated with adnexal tumors. Most patterns associated with this kind of tumor are nonspecific and are observed in other nonadnexal tumors, especially in basal cell carcinomas.
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Affiliation(s)
- Pedro Zaballos
- Dermatology Department, Hospital Sant Pau i Santa Tecla, C/ Joan Fuster s/n, 43007 Tarragona, Spain.
| | - Ignacio Gómez-Martín
- Dermatology Department, Hospital Sant Pau i Santa Tecla, C/ Joan Fuster s/n, 43007 Tarragona, Spain
| | - José María Martin
- Dermatology Department, Hospital Clínico Universitario, Avenida Blasco Ibáñez 17, 46010 Valencia, Spain
| | - José Bañuls
- Dermatology Department, Hospital General Universitario de Alicante, ISABIAL, C/Maestro Alonso 109, 03010 Alicante, Spain
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