Histopathologistics need to identify with confidence subtle signs of infundibular, follicular and sebaceous differentiation because these features are dependable criteria to differentiate DTE from MBCC. Immunohistochemistry for androgen receptors and CK20 is helpful, but interpretation is difficult in some DTEs when few cells are immunopositive for these markers.
Objective: In this retrospective study, patients’ medical records were reviewed to investigate the profiles of 633 OLP cases in a group of Romania.
Material and Methods: In this retrospective study, the following clinical data were obtained from the medical charts of patients: gender, age, clinical presentation of OLP, site affected, presence of symptoms, extraoral manifestations of lichen planus, presence of systemic diseases, and history of medications.
Results: Most (78.67%) OLP patients were female and the mean age at presentation was 52 years. The white type of the disease (reticular/papular/plaque lesions) was the main form encountered in this sample (48.97%). Among patients with available hepatitis C virus test results, 9.6% were serum-positive. OLP was associated with gallbladder disease (i.e. cholecystitis, cholelithiasis) in 19% of patients. Six patients (0.95%) developed squamous cell carcinoma at a site with confirmed OLP lesions.
Conclusions: To the best of our knowledge, no similar study has been conducted in a Romanian population. The present investigation revealed the predominance of OLP among middle-aged white women and the prevalence of bilateral involvement of the buccal mucosa with reticular white lesions. Anti-HCV circulating antibodies were more common in patients with OLP than in the general population and, notably, OLP was associated with gallbladder disease (cholecystitis, cholelithiasis) in 19% of patients.
Key words:Oral lichen planus, oral mucosal diseases, retrospective study.
Kaposi's sarcoma (KS) is a mesenchymal tumor, caused by Human herpesvirus 8 (HHV8) with molecular and cytogenetic changes poorly understood. To gain further insight on the underlying molecular changes in KS, we performed microRNA (miRNA) microarray analysis of 17 Kaposi's sarcoma specimens. Three normal skin specimens were used as controls. The most significant differentially expressed miRNA were confirmed by quantitative reverse transcriptase polymerase chain reaction (RT-PCR). We detected in KS versus normal skin 185 differentially expressed miRNAs, 76 were upregulated and 109 were downregulated. The most significantly downregulated miRNAs were miR-99a, miR-200 family, miR-199b-5p, miR-100 and miR-335, whereas kshv-miR-K12-4-3p, kshv-miR-K12-1, kshv-miR-K12-2, kshv-miR-K12-4-5p and kshv-miR-K12-8 were significantly upregulated. High expression levels of kshv-miR-K12-1 (p = 0.004) and kshv-miR-K12-4-3p (p = 0.001) was confirmed by RT-PCR. The predicted target genes for differentially expressed miRNAs included genes which are involved in a variety of cellular processes such as angiogenesis (i.e. THBS1) and apoptosis (i.e. CASP3, MCL1), suggesting a role for these miRNAs in Kaposi's sarcoma pathogenesis.
Histopathological image analysis performed by a trained expert is currently regarded as the gold-standard for the diagnostics of many pathologies, including cancers. However, such approaches are laborious, time consuming and contain a risk for bias or human error. There is thus a clear need for faster, less intrusive and more accurate diagnostic solutions, requiring also minimal human intervention. Multiphoton microscopy (MPM) can alleviate some of the drawbacks specific to traditional histopathology by exploiting various endogenous optical signals to provide virtual biopsies that reflect the architecture and composition of tissues, both in-vivo or ex-vivo. Here we show that MPM imaging of the dermoepidermal junction (DEJ) in unstained fixed tissues provides useful cues for a histopathologist to identify the onset of non-melanoma skin cancers. Furthermore, we show that MPM images collected on the DEJ, besides being easy to interpret by a trained specialist, can be automatically classified into healthy and dysplastic classes with high precision using a Deep Learning method and existing pre-trained convolutional neural networks. Our results suggest that deep learning enhanced MPM for in-vivo skin cancer screening could facilitate timely diagnosis and intervention, enabling thus more optimal therapeutic approaches.
Second harmonic generation (SHG) microscopy is acknowledged as an established imaging technique capable to provide information on the collagen architecture in tissues that is highly valuable for the diagnostics of various pathologies. The polarization-resolved extension of SHG (PSHG) microscopy, together with associated image processing methods, retrieves extensive image sets under different input polarization settings, which are not fully exploited in clinical settings. To facilitate this, we introduce PSHG-TISS, a collection of PSHG images, accompanied by additional computationally generated images which can be used to complement the subjective qualitative analysis of SHG images. These latter have been calculated using the single-axis molecule model for collagen and provide 2D representations of different specific PSHG parameters known to account for the collagen structure and distribution. PSHG-TISS can aid refining existing PSHG image analysis methods, while also supporting the development of novel image processing and analysis methods capable to extract meaningful quantitative data from the raw PSHG image sets. PSHG-TISS can facilitate the breadth and widespread of PSHG applications in tissue analysis and diagnostics.
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