Color Doppler US is a reliable and reproducible method for help in the differentiation between reactive and malignant alterations of superficial lymph nodes by using findings of intranodal angioarchitecture.

A total of 130 superficial lymph nodes were evaluated using color Doppler flow imaging (CDFI) in order to differentiate benign from malignant lymphadenopathy. The patterns of intranodal flow signals detected at standardized conditions by CDFI were classified using eight self-defined criteria and were correlated with the histopathological or clinical diagnosis. Nonparametric discriminant analysis showed that four vascular were suspicious of malignancy: (a) avascular areas, (b) displacement of intranodal vessels, (c) accessory peripheral vessels and (d) aberrant course of central vessels. Of the neoplastic lymph nodes (n = 73), 96% showed at least one pathological vascular pattern. Malignancy could be excluded in 95% of 57 reactive lymph nodes using these four criteria. Most reactive lymph nodes in contrast demonstrated a vascular hilus and/or vessels running at the long axis of the lymph node with branches to the cortex. There was a diagnostic accuracy of 41-82% in the additionally evaluated sonomorphological (size, shape, echogenicity) and Doppler (increased Pourcelot's or pulsatility indices) criteria. The definitive interpretation of the promising results of this retrospective study requires confirmation of examiner independency as well as a prospective evaluation.

Diagnosis of chronic osteomyelitis of the clavicle should be made by history and physical examination and be confirmed by standard X-ray, bone scan and open biopsy. In contrast MRI and CT can provide data on the involvement of adjacent joints, soft tissue and muscles especially in the early process of disease, but do not add information relevant to the patient's management. Treatment with non-steroidal anti-inflammatory drugs is rapidly beneficial in most patients.

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The purpose was to identify features of malignant and non-malignant neoplastic breast disease on galactography and to estimate their predictive value. This is the largest reported study correlating galactographic morphological patterns with histopathology and the only blinded study. The study included 351 consecutive galactograms and 161 breast biopsies performed in patients with nipple discharge over a 10-year period. Three radiologists, blinded to clinical data and histological results, re-evaluated 158 previously performed galactograms of patients who had undergone excision biopsy. Extravasation or incomplete filling precluded reading in 9.5% of examinations. Among the remaining 143 examinations there were 11 cancers (7.7%), 56 papillomas (39.2%), 19 cases of intraductal papillomatous proliferation (13.3%), 55 cases of fibrocystic or secretory disease (38.5%) and two normals. A "filling defect/cut-off" pattern (n = 90) was found in 6 cancers (6.7%) and 58 cases of papilloma or papillomatous proliferation (64.4%). A "leafless tree" pattern was found only in benign cases (n = 12; 8.4%). In 32 of 143 cases (22.4%) a "ductal ectasia" pattern was present, in one case of which (3.1%) cancer was found. Cancer was identified in two of four cases with an "architectural distortion" pattern. Cancer is rare in patients with nipple discharge. A tendency towards a lower incidence of cancer associated with the "ductal ectasia" and "leafless tree" patterns was found. No statistical evidence was found to indicate that galactography provides an effective prospective diagnosis of malignancy. However, an abnormal galactogram strongly correlated (p < 0.001) with the presence of a breast neoplasm when both benign and malignant tumours were considered. The most important role played by galactography is in the localization of breast neoplasms and in the choice of appropriate surgical therapy.