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Combined esophageal atresia (EA), tracheoesophageal fistula (TEF) and duodenal obstruction result in various challenges in management, and a well-defined management protocol is still lacking. Esophageal stricture is the most common complication after EA repair. The use of magnetic compression alimentary tract anastomosis has been reported in children. By searching the literature, the present study reports the first case of simultaneous repair (EA repair followed by duodenal obstruction repair) and magnetic compression stricturoplasty for refractory esophageal stricture after EA repair in two male neonates. One of the neonates received delayed treatment of duodenal obstruction, and the other successfully underwent a simultaneous emergency operation of these combined anomalies. These two infants developed refractory strictures despite multiple endoscopic dilatation procedures during the postoperative follow-up period. Magnetic compression stricturoplasty procedures were successfully performed under fluoroscopic and endoscopic guidance without any leakage or complication. At the follow-up 10-months after stricturoplasty, the two patients achieved durable esophageal patency in the absence of dysphagia. Combination of early chest and abdominal X-ray detection is recommended to avoid a delayed diagnosis and treatment, as well as the synchronous operation for EA/TEF repair and duodenoduodenostomy in a single surgery for combined EA/TEF and duodenal obstructions. Therefore, magnetic compression stricturoplasty is a feasible and efficient method for establishing early patency of the esophagus in patients with refractory EA stricture.

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In order to explore the application of artificial neural network in rehabilitation evaluation, a kind of ANN stable and reliable artificial intelligence algorithm is proposed. By learning the existing clinical gait data, this method extracted the gait characteristic parameters of patients with different ages, disease types and course of disease, and repeated data iteration and finally simulated the corresponding gait parameters of patients. Experiments showed that the trained ANN had the same score as the human for most of the data (82.2%, Cohen's kappa = 0.743). There was a strong correlation between ANN and improved Ashworth scores as assessed by human raters (r = 0.825, P < 0.01). As a stable and reliable artificial intelligence algorithm, ANN can provide new ideas and methods for clinical rehabilitation evaluation.

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RATIONALE: Neonatal long-gap esophageal atresia (LGEA) with tracheoesophageal fistula (TEF) is an uncommon but serious congenital malformation of the esophagus in newborns, and it remains challenging for pediatric surgeons. Magnetic compress has been shown to be effective for the treatment of LGEA in children and adults. However, the implementation of this unique technique for neonatal LGEA has not been evaluated. PATIENT CONCERNS: A female infant was born at 37 weeks of gestation. Prenatal ultrasound imaging revealed signs of esophageal atresia, including the absence of the gastric bubble and polyhydramnios. DIAGNOSES: A diagnosis of LGEA with TEF was confirmed at birth by contrast X-ray. INTERVENTIONS: She was treated with magnetic compression anastomosis (MCA) following an esophago-esophagostomy. Two magnetic rings were customized, and the MCA was conducted during the same stage surgery of ligating the TEF. Under the magnetic force, the 2 magnet rings pulled along the gastric tube to achieve anastomosis. The postoperative permanent suction of these 2 pouches was instituted, and spontaneous growth was awaited. Magnet removal was performed at 36 days, and enteral nutrition was continued via a gastric tube for 4 weeks at post-operation. OUTCOMES: The upper gastrointestinal contrast confirmed the anastomotic patency perfectly after 3 months. The patient was followed up for 18 months, and exhibited durable esophageal patency without dysphagia. LESSONS: These results suggest that MCA is feasible and effective for treating LGEA in infants.

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BACKGROUND: SALL4 is a zinc finger transcription factor that exerts its physiological role during embryo-fetal development. Analyses of SALL4 expression have shown its oncogenic role in precursor B-cell lymphoblastic lymphoma, acute and chronic myeloid leukemia, gastrointestinal, breast, and lung cancers. The aim of this study was to determine the immunohistochemical profile of SALL4 in pediatric yolk sac tumors (YSTs). METHODS AND RESULTS: Immunohistochemistry detection of SALL4 was performed in 22 cases of pediatric YSTs and 10 mature teratomas. The percentage of tumor cells stained was scored as 0, 1+ (1-30% cells), 2+ (31-60%), 3+ (61-90%), and 4+ (> 90%). To compare its sensitivity and specificity with Glypican-3 and α-fetoprotein (AFP), we also stained tumors from these cases for Glypican-3 and AFP. In contrast to AFP and glypican-3, SALL4 staining in more than 90% of the tumor cells was seen in all 22 pediatric YSTs (100% sensitivity) (P < 0.001 for both SALL4 vs. AFP and SALL4 vs. glypican-3). CONCLUSIONS: SALL4 is a sensitive marker for pediatric YSTs and it can be used to distinguish them from mature teratomas. SALL4 is likely to become a new and valuable biomarker for the diagnosis of pediatric YST.

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