Erratum to "Mesenteric ectopic pregnancy with tubo-ovarian abscess" [Radiology Case Reports 16 (2021) 1165-1168].

[This corrects the article DOI: 10.1016/j.radcr.2021.02.043.].

Gastric gastrointestinal stromal tumor (GIST) with co-occurrence of pancreatic neuroendocrine tumor.

Mesenchymal tumors make up only about 1% of primary GI tumors, with Gastrointestinal Stromal Tumors (GIST) being the most common nonepithelial GI neoplasms. They are derived from the Interstitial cells of Cajal (ICC), and occur predominantly in older individuals, with a mean age of diagnosis of 64 years. Here we discuss the case of a 39-year-old female with atypical thoracic back pain wrapping around to the front and migrating diffuse abdomen pain that sometimes radiates into the chest. Upon imaging, a gastric GIST of the greater curve of the stomach was found incidentally on investigation of a pancreatic mass that was revealed to be a co-occurring pancreatic neuroendocrine tumor. For management of the gastric GIST and pancreatic neuroendocrine tumor, this patient underwent partial gastrectomy with gastrojejunostomy, partial pancreatectomy, splenectomy, and cholecystectomy with no complications.

Mesenteric ectopic pregnancy with tubo-ovarian abscess.

An ectopic pregnancy is the implantation of a fertilized ovum in a location other than the main cavity of the uterus. Ectopic pregnancies are reported in approximately 1%-2% of pregnancies, and while 95% of ectopic pregnancies are in fallopian tubes, only 3% are in ovarian, cervical, or abdominal sites. We present a case of a 38-year-old female with acute onset of severe lower abdominal pain, sepsis, chills, and diarrhea who was evaluated with a CT of the abdomen and pelvis with IV contrast only. The imaging revealed a likely second trimester age fetal skeleton with a partially collapsed calvarium within the peritoneal cavity and an abnormal complex cystic lesion in the right adnexal area. In this case, the patient successfully underwent exploratory laparotomy with removal of both the abdominal ectopic pregnancy and the tubo-ovarian mass.

Automatic Spot Identification for High Throughput Microarray Analysis.

High throughput microarray analysis has great potential in scientific research, disease diagnosis, and drug discovery. A major hurdle toward high throughput microarray analysis is the time and effort needed to accurately locate gene spots in microarray images. An automatic microarray image processor will allow accurate and efficient determination of spot locations and sizes so that gene expression information can be reliably extracted in a high throughput manner. Current microarray image processing tools require intensive manual operations in addition to the input of grid parameters to correctly and accurately identify gene spots. This work developed a method, herein called auto-spot, to automate the spot identification process. Through a series of correlation and convolution operations, as well as pixel manipulations, this method makes spot identification an automatic and accurate process. Testing with real microarray images has demonstrated that this method is capable of automatically extracting subgrids from microarray images and determining spot locations and sizes within each subgrid, regardless of variations in array patterns and background noises. With this method, we are one step closer to the goal of high throughput microarray analysis.