The prevalence of actinic keratosis in patients visiting dermatologists in two hospitals in China

Zhao, Yi; Li, C.Y.; Wen, Chao; Wei, Yifang; Li, R.Y.; Wang, Gang; Tu, Ping

doi:10.1111/bjd.14344

Cited by 14 publications

(15 citation statements)

References 19 publications

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“…The sun protection effectiveness provided by any hat was very low at facial zones where skin cancer and precancerous skin lesions commonly occur . The chin was the least protected facial zone by any hat style for all seasons.…”

Section: Discussionmentioning

confidence: 94%

Facial exposure to ultraviolet radiation: Predicted sun protection effectiveness of various hat styles

Backes

Religi

Moccozet

et al. 2018

Photoderm Photoimm Photomed

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Section: Discussionmentioning

confidence: 94%

Facial exposure to ultraviolet radiation: Predicted sun protection effectiveness of various hat styles

Backes

Religi

Moccozet

et al. 2018

Photoderm Photoimm Photomed

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“…If not actively treated, it may turn into squamous cell carcinoma [33,34]. According to statistics, the prevalence rate of actinic keratosis in Europe, the United States, and Australia has reached 4.5% to 60.0% [35]; therefore, early and active interventions should be advocated. In many cases, this disease is easily confused with BK, which is easily ignored, and diagnosis needs to be observed through pathological examination with a relatively complex process.…”

Section: Discussionmentioning

confidence: 99%

AK-DL: A Shallow Neural Network Model for Diagnosing Actinic Keratosis with Better Performance than Deep Neural Networks

et al. 2020

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Actinic keratosis (AK) is one of the most common precancerous skin lesions, which is easily confused with benign keratosis (BK). At present, the diagnosis of AK mainly depends on histopathological examination, and ignorance can easily occur in the early stage, thus missing the opportunity for treatment. In this study, we designed a shallow convolutional neural network (CNN) named actinic keratosis deep learning (AK-DL) and further developed an intelligent diagnostic system for AK based on the iOS platform. After data preprocessing, the AK-DL model was trained and tested with AK and BK images from dataset HAM10000. We further compared it with mainstream deep CNN models, such as AlexNet, GoogLeNet, and ResNet, as well as traditional medical image processing algorithms. Our results showed that the performance of AK-DL was better than the mainstream deep CNN models and traditional medical image processing algorithms based on the AK dataset. The recognition accuracy of AK-DL was 0.925, the area under the receiver operating characteristic curve (AUC) was 0.887, and the training time was only 123.0 s. An iOS app of intelligent diagnostic system was developed based on the AK-DL model for accurate and automatic diagnosis of AK. Our results indicate that it is better to employ a shallow CNN in the recognition of AK.

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“…Патогенез этого заболевания связан с повреждающим воздействием ультрафиолетового излучения и других сопутствующих канцерогенных факторов на кератиноциты. Исследования показали, что распространенность актинического кератоза в Европе, США и Австралии составляет 45-60% [2].…”

Section: Introductionunclassified

Comparative Studies of Efficacy of Photodynamic Therapy and Cryotherapy for Treatment of Actinic Keratosis

Сухова

Чанглян

Молочков

et al. 2016

Biomedical photonics

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The results of a study on the eﬀectiveness of photodynamic therapy with a photosensitizer fotoditazin and cryotherapy for actinic keratosis are represented in the article. The study included 80 patients with 215 lesions, among them erythematous form of actinic keratosis was diagnosed in 151 (70.2%) cases, hyperkeratotic form – in 46 (21.4%) cases, a pigmented form – in 12 (5.6%) and an atypical variant of the disease – in 6 (2.8%) cases. According to histological type the distribution of tumor was as follows: 19 (54.3%) cases were diagnosed as hypertrophic type, 6 (17.1%) – atrophic, 8 (22.9%) – bowenoid and 2 (5.7% ) – pigmented type. Patients from the study group received one session of photodynamic therapy using laser unit "LAMI" (662 nm) after 2 hours of application of fotoditazin 0.5% gel at dose of 0,2-0,3 ml per 1 cm2 of actinic keratosis focus with the following parameters: the energy density of the laser radiation – 200 J/cm2, power density – 0.14–0.48 W/cm2. In the control group patients underwent cryotherapy with liquid nitrogen with an exposure of 30-60 sec. The comparative analysis of the immediate results showed a tendency for the efficacy of photodynamic therapy to increase (the rate of complete regression was 92.5%) compared with cryotherapy (85.0%) (p>0,05). There were also a tendency for long-term results after photodynamic therapy to improve: three-year recurrence-free survival was 94.6% and 88.2%, respectively. For the photodynamic therapy there were signiﬁcantly fewer adverse reactions, the epithelization time in lesions was signiﬁcantly shorter. Compared with cryotherapy the photodynamic therapy provided signiﬁcantly better cosmetic results (p <0.01), and can be used for out-patient treatment of patients with actinic keratosis.><0.01) and can be used for out-patient treatment of patients with actinic keratosis.

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The prevalence of actinic keratosis in patients visiting dermatologists in two hospitals in China

Abstract: The overall prevalence of AKs in patients visiting dermatologists in the two hospitals in China was 0·52%, which is much lower than the prevalence in western countries.

Cited by 14 publications

References 19 publications

Facial exposure to ultraviolet radiation: Predicted sun protection effectiveness of various hat styles

Facial exposure to ultraviolet radiation: Predicted sun protection effectiveness of various hat styles

AK-DL: A Shallow Neural Network Model for Diagnosing Actinic Keratosis with Better Performance than Deep Neural Networks

Comparative Studies of Efficacy of Photodynamic Therapy and Cryotherapy for Treatment of Actinic Keratosis

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