RESUMO
PURPOSE: We aimed to assess the diagnostic accuracy of the clear cell likelihood score (ccLS) and value of other selected magnetic resonance imaging (MRI) features in the characterization of indeterminate small renal masses (SRMs). METHODS: Fifty patients with indeterminate SRMs discovered on MRI between 2012 and 2023 were included. The ccLS for the characterization of clear cell renal cell carcinoma (ccRCC) was calculated and compared to the final diagnosis (ccRCC vs. 'all other' masses). RESULTS: The ccLS = 5 had a satisfactory accuracy of 64.0% and a very high specificity of 96.3%; however, its sensitivity of 26.1% was relatively low. Receiver operating curve (ROC) analysis revealed that from the selected MRI features, only T1 ratio and arterial to delayed enhancement (ADER) were good discriminators between ccRCC and other types of renal masses (area under curve, AUC = 0.707, p = 0.01; AUC = 0.673, p = 0.03; respectively). The cut-off points determined in ROC analysis using the Youden index were 0.73 (p = 0.01) for T1 ratio and 0.99 for ADER (p = 0.03). The logistic regression model demonstrated that ccLS = 5 and T1 ratio (OR = 15.5 [1.1-218.72], p = 0.04; OR = 0.002 [0.00-0.81], p = 0.04) were significant predictors of ccRCC. CONCLUSIONS: The ccLS algorithm offers an encouraging method for the standardization of imaging protocols to aid in the diagnosis and management of SRMs in daily clinical practice by enhancing detectability of ccRCC and reducing the number of unnecessary invasive procedures for benign or indolent lesions. However, its diagnostic performance needs multi-center large cohort studies to validate it before it can be incorporated as a diagnostic algorithm and will guide future iterations of clinical guidelines. The retrospective nature of our study and small patient population confined to a single clinical center may impact the generalizability of the results; thus, future studies are required to define whether employment of the T1 ratio or ADER parameter may strengthen the diagnostic accuracy of ccRCC diagnosis.
RESUMO
Atopic dermatitis (AD) is a chronic, recurrent inflammatory dermatosis. The most characteristic symptoms of the disease include itch, eczematous eruptions and excessive dryness of the skin. Elderly patients with AD represent a poorly characterized population because the physiological ageing, possible comorbidity and polypharmacy modify the clinical presentation typically observed in the younger age groups. The aim of the study is to comprehensively assess the clinical characteristics of elderly patients (>60 years old) with AD. Data were collected from 26 AD patients treated in the Department of Dermatology of the University Hospital in Krakow. Late-onset AD with generalized/prurigo lesions was the most predominant phenotype. Skin biopsy was required in 15 (58%) patients in the differential diagnosis process. Allergic rhinitis, a positive family history of atopy and xerosis were associated with a higher number of hospitalizations during the year prior to the last admission (p = 0.034, p = 0.046 and p = 0.036, respectively). Xerosis was more prevalent among subjects with polypharmacy (p = 0.046) and higher serum total IgE concentration (p = 0.048). AD in elderly patients is a new phenotype of the disease that requires careful differential diagnosis. Aged patients with an individual or family history of atopy, due to the increased incidence of severe exacerbations of AD, may benefit from the introduction of proactive therapy.