Interstitial vascularity in fibrosing alveolitis

The aim of this study was to evaluate interstitial vascularity in cryptogenic fibrosing alveolitis (CFA) and in fibrosing alveolitis associated with systemic sclerosis (FASSc). Open lung biopsies from eight patients with CFA, nine patients with FASSc, and normal lung from 12 patients undergoing surgery for lung cancer were studied. Markers for endothelial cells (CD34) and cell proliferation (proliferating cell nuclear antigen) were localized by sequential immunohistochemistry and quantified using computer-assisted analysis. Vascular distribution was evaluated at increasing distances (up to 160 microm) from the airspaces. Vessel density was markedly reduced in both FASSc (3.9%) and in CFA (4.5%) compared with control samples (20.4%, p < 0.0001). The percentage of tissue occupied by vessels decreased with increasing distance from alveoli in control samples but not in CFA or FASSc samples. Endothelial cell proliferation indices were increased in FASSc but not in CFA, compared with control samples (p = 0.006). In conclusion, there is net vascular ablation and redistribution of blood vessels in areas of interstitial thickening in both CFA and FASSc, which may contribute to gas exchange impairment.     

Pattern analysis,not simplified algorithms,is the most reliable method for teaching dermoscopy for melanoma diagnosis to residents in dermatology

BACKGROUND: Simplified algorithms for dermoscopy in melanoma diagnosis were developed in order to facilitate the use of this technique by non-experts. However, little is known about their reliability compared with classic pattern analysis when taught to untrained observers. OBJECTIVES: To investigate the diagnostic performance of three different methods, i.e. classic pattern analysis and two of the most used algorithms (the ABCD rule of dermoscopy and the seven-point check-list) when used by newly trained residents in dermatology to diagnose melanocytic lesions. Methods Five residents in dermatology (University of Florence Medical School) were submitted to a teaching programme in dermoscopy based on both formal lessons and training and self-assessment using a newly developed, interactive CD-ROM on dermoscopy. The performance of the three diagnostic methods was analysed in a series of 200 clinically equivocal melanocytic lesions including 44 early melanomas (median thickness 0.30 mm; 25th-75th percentile 0.00-0.58 mm). RESULTS: Pattern analysis yielded the best mean diagnostic accuracy (68.7%), followed by the ABCD rule (56.1%) and the seven-point check-list (53.4%, P = 0.06). The best sensitivity was associated with the use of the seven-point check-list (91.9%), which, however, provided the worst specificity (35.2%) of the methods tested. The interobserver reproducibility, as shown by kappa statistics, was low for all the methods (range 0.27-0.33) and did not show any statistical difference among them. CONCLUSIONS: Pattern analysis, i.e. simultaneous assessment of the diagnostic value of all dermoscopy features shown by the lesion, proved to be the most reliable procedure for melanoma diagnosis to be taught to residents in dermatology.