Junction: Gastroenterology

Researchers from China developed 2 diagnostic prediction models based on a nomogram and a random forest model to differentiate gastrointestinal heterotopic pancreas (HP) from gastrointestinal stromal tumor (GIST).  The researchers said that their modeled were “reliable and easy-to-use” and that they “might also assist treatment planning.” Read more about GIST diagnosis The study is published…

An immortalized cell line of human gastrointestinal stromal tumor (ImGIST) cells has been created for the first time using cells from a Chinese patient, as discussed in a paper published in the International Journal of Molecular Sciences. The cell line was created by transfecting patient-derived cells with simian virus 40 large T antigen (SV40LT). The…

The removal of submucosal gastrointestinal stromal tumors (GISTs) can be problematic using conventional endoscopic full-thickness resection (EFTR); however, a novel method utilizing submucosal tunneling around the tumor combined with EFTR could provide a useful solution according to a case report published in DEN Open. Conventional EFTR has been used in previous reports for the removal…

Researchers from Romania presented the case of a patient with giant gastrointestinal stromal tumor (GIST) with liver metastases, which was unresponsive to systemic therapy.  The patient underwent 2-stage debulking liver resection and survived for 55 months (more than 4.5 years) with a postoperative survival benefit of 25 months (more than 2 years). Read more about the…

A simple scoring model based on enhanced computed tomography can help predict the biological risk of gastrointestinal stromal tumor (GIST) before surgery, according to a new study published in the scientific journal Technology in Cancer Research & Treatment.  According to the authors of the study, the model can help make individualized treatment plans and improve the…

Researchers from Ethiopia presented the rare case of a patient with a large gastric gastrointestinal stromal tumor (GIST) with a fast-growing mass after intratumoral bleeding.  “Only a few instances of giant gastrointestinal stromal tumors and even fewer cases of such tumors with intratumoral bleeding have ever been reported,” the researchers wrote in a report published…

A deep learning (DL) model can be used to predict patient outcomes and mutations using hematoxylin, eosin, and saffron (HES)-stained whole slide images from patients with gastrointestinal stromal tumor (GIST), according to a study published in NPJ Precision Oncology. The DL model that was trained using HES images performed better at predicting relapse-free survival than…

Machine learning based on computed tomography (CT) could help with the risk classification of small gastric gastrointestinal stromal tumors (GISTs), according to a new study published in the journal BMC Medical Imaging. The study found that a long diameter was the most important feature for risk stratification. The study authors used 3 models to predict…