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Objectives: To discuss the clinical features, diagnostic evaluation, and treatment options for cutaneous vasculitis., Methods: The literature in the PubMed database was reviewed regarding the presentation, pathophysiology, clinical workup, and treatment of cutaneous vasculitis., Results: Available classification criteria of vasculitis are based on histopathologic criteria or clinicohistologic features. These have been designed more for research purposes than for clinical application. Skin findings such as palpable purpura, nodules, urticaria, ulcers, and infarction are clues to the presence of vasculitis. Pathologic findings of fibrinoid necrosis, infiltration by neutrophils or lymphocytes, and deposition of complement and immunoglobulin may be helpful in reaching a specific diagnosis. However, there is considerable overlap across different conditions., Conclusions: The correct diagnosis of cutaneous manifestations of vasculitis requires an understanding of vasculitis classification, recognition of specific clinical patterns, and the ability to interpret histopathologic data.

Background: Healthcare-related errors cause patient morbidity and mortality. Despite fear of reprimand, laboratory personnel have a professional obligation to rapidly report major medical errors when they are identified. Well-defined protocols regarding how and when to disclose a suspected error by a colleague do not exist., Patient: We describe a woman with a well documented allergy to sulfamethoxazole who was treated with sulfadiazine that led to toxic epidermal necrolysis. After the patient's death, the laboratory medicine resident was asked by one of the patient's physicians to measure serum sulfadiazine, but only if the results were not reported in the patient's electronic medical record. The case was brought to the attention of a laboratory medicine faculty member and the hospital risk management team., Issues: Laboratorians are patient fiduciaries and are responsible for reporting errors. Most medical associations have codes of ethics that address disclosure of incompetence and errors, although the AACC's Guide to Ethics does not. New types of error, risk management, and root-cause analyses help to shift the focus to system errors and away from individuals' errors. This can lead to a healthcare environment that encourages truth and disclosure rather than fear and reprimand. Disposition: The individuals involved in the presented case fulfilled their fiduciary duty to the patient by reporting this incident. An extensive investigation showed that, in fact, no medical errors or misconducts had occurred in the care of the patient.

It is often difficult to distinguish hepatocellular adenoma (HCA) from well-differentiated hepatocellular carcinoma (WDHCC) when limited tissue from a needle biopsy is evaluated. The aim of this study was to identify gene expression patterns that can distinguish HCA from WDHCC, with the ultimate goal of discovering novel diagnostic markers. Gene expression profile analysis was performed using Affymetrix U133Plus2 GeneChip microarrays on RNA isolated from frozen tissue of 6 HCA and 8 WDHCC specimens. Statistical analysis of microarray data identified 63 genes whose expression levels were significantly different between HCA and WDHCC. These included 57 genes overexpressed by HCA and 6 overexpressed by WDHCC. Eight genes were chosen for further analysis by quantitative RT-PCR on RNA derived from archived, paraffin-embedded tissue blocks of an independent validation set comprising 9 HCAs and 9 HCCs. Seven of the 8 genes demonstrated average expression differences between HCA and HCC that were concordant with the microarray findings, and their expression pattern correctly classified the 18 tumors into HCA and HCC using unsupervised clustering analysis. Furthermore, immunohistochemical staining performed on a third, independent set of 27 HCAs and 33 HCCs confirmed the expression differences at protein levels for 5 of the genes. Taken together, our data demonstrate significant molecular differences between HCA and WDHCC, despite their morphologic similarity. More importantly, we have identified a unique set of genes whose expression pattern can discriminate between these two types of hepatocellular neoplasms, suggesting the possibility of future development of ancillary molecular and immunohistochemical diagnostic methods.

Aortic intimal sarcomas are rare among the already uncommon primary aortic neoplasms. Due to a low index of suspicion, characteristic radiographic and clinical findings are sometimes misattributed and the diagnosis is not made until autopsy. We describe the helical CT findings of a patient with an advanced aortic intimal sarcoma, intraluminal and extraluminal disease, and extensive metastases.