Umbilical endosalpingiosis: a case report

<p>Abstract</p> <p>Introduction</p> <p>Endosalpingiosis describes the ectopic growth of Fallopian tube epithelium. Pathology confirms the presence of a tube-like epithelium containing three types of cells: ciliated, columnar cells; non-ciliated, columnar secretory mucous cells; and intercalary cells.</p> <p>We report the case of a woman with umbilical endosalpingiosis and examine the nature and characteristics of cutaneous endosalpingiosis by reviewing and combining the other four cases existing in the international literature.</p> <p>Case presentation</p> <p>A 50-year-old Caucasian, Greek woman presented with a pale brown nodule in her umbilicus. The nodule was asymptomatic, with no cyclical discomfort or variation in size. Her personal medical, surgical and gynecologic history was uneventful. An excision within healthy margins was performed under local anesthesia. A cystic formation measuring 2.7×1.7×1 cm was removed. Histological examination confirmed umbilical endosalpingiosis.</p> <p>Conclusions</p> <p>Umbilical endosalpingiosis is a very rare manifestation of the non-neoplasmatic disorders of the Müllerian system. It appears with cyclic symptoms of pain and swelling of the umbilicus, but not always. The disease is diagnosed using pathologic findings and surgical excision is the definitive treatment.</p

Leading edge chemical crystallography service provision and its impact on crystallographic data science in the twenty-first century

National facilities provide state-of-the-art crystallographic instrumentation and processes and tend to act as an indicator for the direction of a community in the medium term. There has been a significant step up in terms of instrumentation and approach in the last 10 years which has driven data generation. This has had a significant impact on databases – in turn we observe a substantial change in the use of the Cambridge Structural Database (CSD) from relatively basic search/retrieve to gaining deep understanding about factors that govern the solid state. Databases are now able to drive new science in areas such as crystal engineering. Looking forward, we will see more automated pipelining of the data generation process, and this will require better integration with databases. Databases will provide more predictive power – and this will inform the science/crystallography that should be done