[Pre-surgical diagnosis of neuroendocrine carcinoma of the extrahepatic bile duct: a case study].

A 70-year-old woman presented to our hospital with jaundice. Abdominal ultrasonography showed biliary duct dilatation. Blood tests revealed elevated total bilirubin and hepatobiliary enzyme levels. A contrast-enhanced computed tomography of the abdomen showed bile duct thickening with wall enhancement. Transpapillary bile duct biopsy showed an invasive carcinoma proliferating in a follicular pattern. Pathology revealed positive synaptophysin and chromogranin A and a Ki67 index >40%, consistent with a diagnosis of neuroendocrine carcinoma (NEC). After confirming the absence of distant metastases, a subtotal stomach-preserving pancreaticoduodenectomy was performed. The result of the postoperative pathology was the same as the preoperative biopsy. According to previous reports, 7 out of 28 cases with NEC/mixed adenoneuroendocrine carcinoma could be diagnosed as NEC before surgery. However, biliary cytology and bile duct scraping cytology were used in many cases;only 11 cases underwent bile duct biopsy. For the latter, 5 out of 11 cases could be diagnosed preoperatively. NEC of the extrahepatic duct often exhibits a submucosal tumor-like morphology, which may result in a false negative result with biliary cytology or bile duct scraping cytology. In our case, the transpapillary bile duct biopsy sample was sufficient to diagnose NEC. This method could be an attractive option for the diagnosis of these tumors.

Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images.

BACKGROUND: Endoscopic ultrasonography (EUS) is useful for the differential diagnosis of subepithelial lesions (SELs); however, not all of them are easy to distinguish. Gastrointestinal stromal tumors (GISTs) are the commonest SELs, are considered potentially malignant, and differentiating them from benign SELs is important. Artificial intelligence (AI) using deep learning has developed remarkably in the medical field. This study aimed to investigate the efficacy of an AI system for classifying SELs on EUS images. METHODS: EUS images of pathologically confirmed upper gastrointestinal SELs (GIST, leiomyoma, schwannoma, neuroendocrine tumor [NET], and ectopic pancreas) were collected from 12 hospitals. These images were divided into development and test datasets in the ratio of 4:1 using random sampling; the development dataset was divided into training and validation datasets. The same test dataset was diagnosed by two experts and two non-experts. RESULTS: A total of 16,110 images were collected from 631 cases for the development and test datasets. The accuracy of the AI system for the five-category classification (GIST, leiomyoma, schwannoma, NET, and ectopic pancreas) was 86.1%, which was significantly higher than that of all endoscopists. The sensitivity, specificity, and accuracy of the AI system for differentiating GISTs from non-GISTs were 98.8%, 67.6%, and 89.3%, respectively. Its sensitivity and accuracy were significantly higher than those of all the endoscopists. CONCLUSION: The AI system, classifying SELs, showed higher diagnostic performance than that of the experts and may assist in improving the diagnosis of SELs in clinical practice.

Lewis score on capsule endoscopy can predict the prognosis in patients with small bowel lesions of Crohn's disease.

BACKGROUND AND AIM: Endoscopic evaluation of disease activity, including mucosal healing, is poorly established in Crohn's disease. We previously reported that patients with a Lewis score (LS) on capsule endoscopy < 270 had a lower risk of exacerbation without additional treatment. This study investigated prognostic predictors in patients undergoing capsule endoscopy and determined the optimal LS cut-off value. METHODS: In a retrospective single-center study, 102 patients with Crohn's disease who underwent capsule endoscopy were reviewed. We reviewed the clinical course and the patients' characteristics, Crohn's Disease Activity Index, laboratory findings, LS, and Prognostic Nutritional Index (PNI) for factors potentially associated with Crohn's disease-related emergency hospitalization. Subsequently, we prospectively enrolled 66 patients with Crohn's disease and analyzed clinical outcomes according to these factors. RESULTS: In the retrospective study, LS ≥ 270 and PNI < 45 were identified as independent predictors of Crohn's disease-related emergency hospitalization with hazard ratios of 9.48 and 3.01, respectively. Even in patients with LS ≥ 270, cumulative hospitalization rates decreased after intervention based on capsule endoscopy findings. The prospective study confirmed that patients with LS ≥ 270 or PNI < 45 had a significantly higher risk of Crohn's disease-related emergency hospitalization and that additional treatment reduced the risk of relapse. CONCLUSIONS: LS and PNI are the best available prognostic predictors in patients with Crohn's disease without gastrointestinal stenosis and can guide decisions on treatment escalation. Patients with LS ≥ 270 and PNI < 45 were at increased risk for exacerbation, and additional treatments should be considered for this group.

Filtrated Adipose Tissue-Derived Mesenchymal Stem Cell Lysate Ameliorates Experimental Acute Colitis in Mice.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, persistent, and intractable enteritis; however, an effective treatment strategy is yet to be established. Mesenchymal stem cells (MSCs) and their paracrine factors exhibit anti-inflammatory actions and have been proposed as a new therapeutic candidate for IBD treatment, although the efficacy of MSC lysate on enteritis is unclear. AIMS: Here, we examined the efficacy and appropriate regimen of filtrated murine adipose-derived mesenchymal stem cell lysate (FADSTL) in an acute colitis mouse model as a novel cell-free MSC therapy. METHODS: To confirm the clinical effects of FADSTL, survival rate, body weight, and disease activity index (DAI) were investigated in the DSS-induced colitis mouse model. Further, differences in efficacy with dosing frequency were assessed to optimize the proper regimen. Colon length, histological findings, gene expression of inflammatory mediators and tight junction proteins in colon tissues, and anti-apoptotic effects were also compared in 3-day continuous FADSTL administration and PBS groups. RESULTS: Three-day continuous FADSTL administration significantly improved weight loss and DAI score compared to those in the PBS-treated group, whereas the effect was not observed with single administration. Additionally, colon shortening and histological inflammation were suppressed in the FADSTL-treated group. Further, this treatment decreased gene expression of inflammatory mediators, maintained expression of tight junction proteins in the colon, and showed anti-apoptotic effects. CONCLUSIONS: FADSTL effects were dependent on its administration frequency, suggesting the requirement of continuous FADSTL administration. FADSTL improved colitis by maintaining the intestinal barrier function through its anti-inflammatory and anti-apoptotic actions.

Erdheim-Chester Disease with Pancreatic Enlargement Observed Using Contrast-enhanced Endoscopic Ultrasonography.

We herein report an unusual case of Erdheim-Chester disease (ECD), a rare non-Langerhans cell histiocytosis, and emphasize its unique presentation and diagnostic challenges. Our patient exhibited uncommon symptoms and significant organ involvement, particularly pancreatic enlargement that is not typically associated with ECD. Contrast-enhanced harmonic endoscopic ultrasonography (CEH-EUS) and EUS-fine needle aspiration (EUS-FNA) play crucial roles in the comprehensive assessment of the disease, demonstrating their superiority in identifying and characterizing elusive ECD lesions. This is the first report to document pancreatic lesions in patients with ECD evaluated using CEH-EUS. EUS-FNA is valuable for diagnosing rare diseases, including ECD, with diffuse pancreatic enlargement.

Risk factors of radiographic severity of massive rotator cuff tear.

As massive rotator cuff tears progress, various radiographic changes occur; however, the factors associated with radiographic changes remain largely unknown. This study aimed to determine the factors that affect radiographic severity in massive rotator cuff tears using multivariate analyses. We retrospectively reviewed 210 shoulders with chronic massive rotator cuff tears. The dependent variables were superior migration of the humeral head (Hamada grades 2-3), narrowing of the glenohumeral joint (grade 4), and humeral head collapse (grade 5). Baseline variables that were significant in univariate analyses were included in multivariate models. There were 91, 59, 43, and 17 shoulders classified as Hamada grades 1, 2-3, 4, and 5, respectively. Multivariate analysis showed that infraspinatus tear (P = 0.015) and long head of biceps (LHB) tendon rupture (P = 0.007) were associated with superior migration of humeral head. Superior subscapularis tear (P = 0.003) and LHB tendon rupture (P < 0.001) were associated with narrowing of glenohumeral joint. Female sex (P = 0.006) and superior subscapularis tear (P = 0.006) were associated with humeral head collapse. This study identified the rupture of infraspinatus and LHB as risk factors of superior migration of humeral head, and the rupture of subscapularis and LHB and female sex as risk factors of cuff tear arthropathy.

Lewis Score on Capsule Endoscopy as a Predictor of the Risk for Crohn's Disease-Related Emergency Hospitalization and Clinical Relapse in Patients with Small Bowel Crohn's Disease.

BACKGROUND: Small bowel capsule endoscopy (CE) is a useful tool for evaluating the mucosal changes in patients with Crohn's disease (CD). The Lewis score (LS) on CE could be used to objectively assess the inflammatory activity of the small bowel mucosa. However, only few reports on the correlation between the LS and CD prognosis exist. This study is aimed at evaluating the clinical significance of the LS by determining the cutoff value of the LS that could predict CD-related emergency hospitalization. METHODS: This retrospective single-center study included 125 patients who underwent CE for small bowel CD. Eighty-six patients whose treatment was not changed after CE were analyzed. Inflammatory activity was assessed with the LS. We examined the clinical course of the patients who could be observed for 1 year after CE and investigated the LS cutoff value that could predict CD-related emergency hospitalization within 1 year. We also examined the hospitalization-free and clinical relapse-free rates using the LS cutoff value and evaluated the factors related to emergency hospitalization. RESULTS: The LS cutoff value that could predict CD-related emergency hospitalization within 1 year was 264 (area under the curve, 0.92 (P < 0.001); sensitivity, 0.80; and specificity, 0.94). The cumulative hospitalization-free rate and cumulative clinical relapse-free rate were significantly higher in patients with a LS < 264 (P < 0.001). Multivariate analysis showed that a LS < 264 was a statistically significant factor (P = 0.001; 95% CI, 0.010-0.308). CONCLUSION: A LS of 264 is a useful cutoff value that could predict CD-related emergency hospitalization. This LS cutoff value may help determine treatment strategies for CD.