Radiographic Characteristics of Adrenal Masses Preceding the Diagnosis of Adrenocortical Cancer.

Incidentally discovered adrenal masses are common and the clinical evaluation and surveillance aims to diagnose hormone excess and malignancy. Adrenocortical cancer (ACC) is a very rare malignancy. This study aims to define the imaging characteristics of adrenal tumors preceding the diagnosis of ACC. Patients with prior (>5 months) adrenal tumors (<6 cm) subsequently diagnosed with ACC were identified in a large registry at a tertiary referral center. Retrospective chart and image review for patient characteristics and initial, interval, and diagnostic imaging characteristics (size, homogeneity, borders, density, growth rate, etc.) was conducted. Twenty patients with a diagnosis of ACC and a prior adrenal tumor were identified among 422 patients with ACC. Of these, 17 patients were initially imaged with CT and 3 with MR. Only 2 of the 20 patients had initial imaging characteristics suggestive of a benign lesion. Of initial tumors, 25% were <2 cm in size. Surveillance led to the diagnosis of ACC within 24 months in 50% of patients. The growth pattern was variable with some lesions showing long-term stability (up to 8 years) in size. In conclusion, antecedent lesions in patients with a diagnosis of ACC are often indeterminate by imaging criteria and can be small. Surveillance over 2 years detected only 50% of ACCs. Current practice and guidelines are insufficient in diagnosing ACCs. Given the rarity of ACC, the increased risk and health care costs of additional evaluation may not be warranted.

E-commerce for healthcare supply procurement.

The total investment of the more than fifty e-commerce startups that entered healthcare supply chain management in the past three years has surpassed $500 million. However, none of these early entrants has delivered on the initial promise of restructuring the entire supply chain, replacing the traditional intermediaries, or at least achieving substantial revenue. This article offers a new business-to-business (B2B) e-commerce solution classification paradigm and uses it to analyze the functional requirements for an effective and, efficient healthcare supply chain marketplace. The analysis exposes several fundamental B2B market complexities that prevent the early entrants from creating a solid customer base and reaching desired liquidity goals. It also identifies several technological solutions to the problems mentioned. These new technologies create a comprehensive and symmetric order-matching engine that is capable of aggregating buy orders, requesting quotes from multiple vendors simultaneously, and negotiating along multiple criteria.