- Support Vector Machine Classification of Non-melanoma Skin Lesions based on Fluorescence Lifetime Imaging Microscopy. [Journal Article]
- ACAnal Chem 2019 Jul 17
- Early diagnosis of malignant skin lesions is critical for prompt treatment and clinical prognosis of skin can-cers. However, it is difficult to precisely evaluate the developing stage of non-melanoma…
Early diagnosis of malignant skin lesions is critical for prompt treatment and clinical prognosis of skin can-cers. However, it is difficult to precisely evaluate the developing stage of non-melanoma skin cancer be-cause they are derived from the same tissues as a result of uncontrolled growth of abnormal squamous keratinocytes in the epidermis layer of the skin. In the present study, we developed a linear-kernel support vector machine (LSVM) model to distinguish basal cell carcinoma (BCC) from actinic keratosis (AK) and Bowen's disease (BD). The input parameters of the LSVM model consist of appropriate lifetime compo-nents and entropy values, which were extracted from two-photon fluorescence lifetime imaging of hema-toxylin and eosin (H&E)-stained biopsy sections. Different features used as inputs for SVM training were compared and evaluated. In constructing the SVM models, features obtained from the lifetime (τ2) of the second component were found to be significantly more predictive than the average fluorescence lifetime (τm) in terms of diagnostic accuracy, sensitivity, and specificity. The above findings were confirmed based on the receiver operating characteristic (ROC) curves of diagnostic models. Shannon entropy was added as an independent feature into the SVM models to further improve the diagnostic accuracy. Therefore, fluo-rescence lifetime analysis and entropy calculation can provide highly informative features for accurate de-tection of skin neoplasm disorders. In summary, fluorescence lifetime imaging microscopy (FLIM) com-bined with SVM classification exhibited great potential for developing an effective computer-aided diag-nostic criteria and accurate cancer detection in dermatology.
- Efficacy and safety of photodynamic therapy with amino-5-laevulinate nanoemulsion versus methyl-5-aminolaevulinate for actinic keratosis: a meta-analysis. [Journal Article]
- PPPhotodiagnosis Photodyn Ther 2019 Jul 13
- CONCLUSIONS: Photodynamic therapy with BF-200 ALA has a 9% better chance of complete clearance at 3 months and a 24% better chance of grade II-III lesions after treatment than with MAL for patients with actinic keratosis.
- Prevalence of actinic keratosis in patients attending the dermatology outpatient clinic. [Journal Article]
- MMedicine (Baltimore) 2019; 98(28):e16465
- Actinic keratoses (AKs) are precancerous epidermal lesions that develop on sensitive, frequently sun-exposed skin surfaces. There are very little data regarding AK prevalance. The aim of this study w…
Actinic keratoses (AKs) are precancerous epidermal lesions that develop on sensitive, frequently sun-exposed skin surfaces. There are very little data regarding AK prevalance. The aim of this study was to investigate the prevalence of AK and related conditions among patients in a dermatology outpatient clinic.Patients attending our dermatology outpatient clinic between January 1, 2015 and December 31, 2017 were evaluated retrospectively usingan automated system. A total of 54,786 patients aged ≥30 years attending the dermatology outpatient clinic were included in the study. We identified 1375 patients diagnosed with AK.In our study, the AK prevalence was 0.01% for patients between 30 and 39 years of age, 0.45% for patients between 40 and 49 years of age, 1.77% for patients between 50 and 59 years of age, 4.61% for patients between 60 and 69 years of age, 9.38% for patients between 70 and 79 years of age, and 14.57% for patients ≥80 years. AK prevalence was 2.50% among patients of all ages.The exposure to sunlight is excessive due to the geographical location of our country. Due to the tendency of AKs to convert to malignancies, the identification of patients at high risk for AK development and the identification of high-risk anatomical regions are important to establish the basis of effective screening programs to support public health.
- Keratosis pilaris-like eruption induced by nilotinib. [Journal Article]
- GIG Ital Dermatol Venereol 2019 Jul 12
- The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images. [Journal Article]
- JMJ Med Syst 2019 Jul 13; 43(8):283
- According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they…
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they can do serious harm to patients' health. However, in clinical practice, identifying malignant degree requires biopsy and pathological examination which is time costly. Furthermore, in many areas, due to the severe shortage of dermatologists, it's inconvenient for patients to go to hospital for examination. Therefore, an easy to access screening method of malignant skin tumors is needed urgently. Firstly, we spend 5 years to build a dataset which includes 4,500 images of 10 kinds of skin tumors. All instances are verified pathologically thus trustworthy; Secondly, we label each instance to be either low-risk, high-risk or dangerous in which Junctional nevus, Intradermal nevus, Dermatofibroma, Lipoma and Seborrheic keratosis are low-risk, Basal cell carcinoma, Bowen's disease and Actinic keratosis are high-risk, Squamous cell carcinoma and Malignant melanoma are dangerous; Thirdly, we apply the Xception architecture to build the risk degree classifier. The area under the curve (AUC) for three risk degrees reach 0.959, 0.919 and 0.947 respectively. To further evaluate the validity of the proposed risk degree classifier, we conduct a competition with 20 professional dermatologists. The results showed the proposed classifier outperforms dermatologists. Our system is helpful to patients in preliminary screening. It can identify the patients who are at risk and alert them to go to hospital for further examination.
- Actinic Keratosis Clinical Course Correlates with Underlying Molecular Mechanisms. [Journal Article]
- BJBr J Dermatol 2019 Jul 12
- CONCLUSIONS: Histological biomarkers were not a primary endpoint. In addition, subjects were allowed to apply sunscreens.At the molecular level, loss of E-cadherin and an increase in p53 are linked to the dynamic interplay between persistence, progression and regression of AKs. This article is protected by copyright. All rights reserved.
- Dysplastic oral leukoplakia is molecularly distinct from leukoplakia without dysplasia. [Journal Article]
- ODOral Dis 2019 Jul 11
- CONCLUSIONS: Our results suggest that there are detectable changes in the molecular profile of oral leukoplakia exhibiting dysplasia including downregulated ECM as a distinguishing feature of dysplastic lesions. This suggests that reactive changes in stroma may be an early manifestation of dysplastic development. Our study also demonstrates the feasibility of detecting such molecular changes in oral leukoplakia, providing avenues for further investigation of molecular mechanisms of oral dysplasia. This article is protected by copyright. All rights reserved.
- Oral Keratosis of Unknown Significance (KUS) Shares Genomic Overlap with Oral Dysplasia. [Journal Article]
- ODOral Dis 2019 Jul 11
- CONCLUSIONS: Among patients with leukoplakia, both patients with keratosis of unknown significance and patients with dysplasia developed oral cancer. Molecular alterations between these two groups were similar at this sample size. This article is protected by copyright. All rights reserved.
- [The clinicopathological features and HPV detection of conjunctival actinic keratosis]. [Journal Article]
- ZYZhonghua Yan Ke Za Zhi 2019 Jul 11; 55(7):531-535
- CONCLUSIONS: Conjunctival AK is epithelial precancerous lesion that occurs in the keratoconjunctival margin. HPV infection might not be a causative factor in conjunctival AK. (Chin J Ophthalmol, 2019, 55: 531-535).
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- Erosive Pustular Dermatosis of the Scalp: Why Do We Miss It? [Review]
- DDermatology 2019 Jul 05; :1-6
- Erosive pustular dermatosis of the scalp (EPDS) is an uncommon disease and primarily affects older men who have photo-damaged bald scalp, as was confirmed by our case series. EPDS is probably an over…
Erosive pustular dermatosis of the scalp (EPDS) is an uncommon disease and primarily affects older men who have photo-damaged bald scalp, as was confirmed by our case series. EPDS is probably an overlooked disease, whose diagnosis is often missed because of a higher incidence of other cutaneous diseases affecting the same area and usually secondary to chronic actinic damage, such as actinic keratosis, basal cell carcinoma, and squamous cell carcinoma. For the first time, we report a case series of misdiagnosed EPDS with the aim of understanding why a diagnosis of EPDS was initially missed and try to give some tips to avoid future diagnostic delay.