Peritoneal splenosis mimicking carcinomatosis

Splenosis is an uncommon benign condition resulting from heterotopic autotransplantation of splenic tissues onto exposed vascularised intra- and extraperitoneal surfaces following splenic trauma and surgeries. Splenosis may be mistaken for carcinomatosis upon standard imaging techniques. A 69-year-old female patient with a past medical history of hypertension and splenic trauma, underwent total esophagectomy with polar gastrectomy for adenocarcinoma of the gastric cardia. Macroscopic examination of the surgical specimen disclosed a tumour of the cardia measuring 5 cm in greatest diameter and several dark brown nodules of the greater omentum ranging in size between 2 mm and 12 mm. Histological examination of these nodules confirmed the diagnosis of peritoneal splenosis. The authors emphasize that in patients with a previous history of splenic trauma or surgery, clinicians must consider the existence of splenosis.Pan African Medical Journal 2016; 2

An intriguing case of a paravertebral extramedullary erythropoiesis presenting as tumor‐mimicking lesion in a patient with eosinophilia with FIP1L1‐PDGFRA rearrangement

Abstract Extramedullary hematopoiesis in the posterior mediastinum is rare. Our case interested a 28‐year‐old man with a history of eosinophilia with FIP1L1‐PDGFRA fusion gene who had a mediastinal mass surgically excised. Pathological examination concluded to an extramedullary erythropoiesis. This case is original by its location and the presence of only the erythroblastic line rearrangement

Memetic Algorithms for Business Analytics and Data Science: A Brief Survey

This chapter reviews applications of Memetic Algorithms in the areas of business analytics and data science. This approach originates from the need to address optimization problems that involve combinatorial search processes. Some of these problems were from the area of operations research, management science, artificial intelligence and machine learning. The methodology has developed considerably since its beginnings and now is being applied to a large number of problem domains. This work gives a historical timeline of events to explain the current developments and, as a survey, gives emphasis to the large number of applications in business and consumer analytics that were published between January 2014 and May 2018