A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria.

BACKGROUND: We developed a machine learning (ML) model to predict the risk of lymph node metastasis (LNM) in patients with early gastric cancer (EGC) who did not meet the existing Japanese endoscopic curability criteria and compared its performance with that of the most common clinical risk scoring system, the eCura system. METHODS: We used data from 4,042 consecutive patients with EGC from 21 institutions who underwent endoscopic submucosal dissection (ESD) and/or surgery between 2010 and 2021. All resected EGCs were histologically confirmed not to satisfy the current Japanese endoscopic curability criteria. Of all patients, 3,506 constituted the training cohort to develop the neural network-based ML model, and 536 constituted the validation cohort. The performance of our ML model, as measured by the area under the receiver operating characteristic curve (AUC), was compared with that of the eCura system in the validation cohort. RESULTS: LNM rates were 14% (503/3,506) and 7% (39/536) in the training and validation cohorts, respectively. The ML model identified patients with LNM with an AUC of 0.83 (95% confidence interval, 0.76-0.89) in the validation cohort, while the eCura system identified patients with LNM with an AUC of 0.77 (95% confidence interval, 0.70-0.85) (P = 0.006, DeLong's test). CONCLUSIONS: Our ML model performed better than the eCura system for predicting LNM risk in patients with EGC who did not meet the existing Japanese endoscopic curability criteria. We developed a neural network-based machine learning model that predicts the risk of lymph node metastasis in patients with early gastric cancer who did not meet the endoscopic curability criteria.

Pancreaticoduodenal artery aneurysm associated with coeliac artery occlusion from an aortic intramural hematoma.

Pancreaticoduodenal artery aneurysms are a rare type of visceral artery aneurysm, whose rupture is associated with high mortality. These aneurysms are of particular interest because local haemodynamic change caused by coeliac artery obstruction plays an important role in their development. However, the pathophysiological mechanism of coeliac artery obstruction is not completely understood. Pressure from the median arcuate ligament is most frequently reported cause. Although it is well-known that stenosis or occlusion of the visceral vessels may be caused by aortic syndrome, reports of pancreaticoduodenal artery aneurysm associated with coeliac artery occlusion due to aortic syndrome are extremely rare. Our case indicates a new aetiology for a pancreaticoduodenal artery aneurysm and demonstrates the rapid deterioration of the patient affected.

Protracted anaphylaxis developed after peginterferon α-2a administration for chronic hepatitis C.

Peginterferon is a key drug used to treat chronic viral hepatitis that is known for causing various side effects. Side effects occurring immediately after administration include headache, nausea, and influenza-like symptoms, such as fever and joint pain. However, reports of anaphylactic shock are extremely rare. Here we report a patient with protracted anaphylaxis who suffered shock symptoms after peginterferon α-2a administration for chronic hepatitis C. Although the patient improved temporarily with shock treatment, symptoms of anaphylaxis recurred. As peginterferon is often administered on an outpatient basis, it is important to recognize life-threatening side effects that may develop in a protracted manner.