Laparoscopic repair of duodenal atresia: systematic review and meta-analysis after consistent implementation of the technique in the past decade.

BACKGROUND: Laparoscopic repair of duodenal atresia (LRDA) remains a technically challenging procedure and its benefits ambiguous. To assess the safety and efficacy of LRDA, we performed a systematic review of techniques and material for LRDA and a meta-analysis comparing outcomes with open repair (OR). METHODS: Comprehensive search of EMBASSE, PubMed and Cochrane was performed from 2000 to 2023. Studies comparing LRDA with OR were identified and outcomes extracted included operative time, time to enteral feeds, length of hospitalisation, anastomotic leaks and stricture and total complications. χ2 was used to assess associations between complications and conversions rates of different LRDA approaches (laparoscopic technique, suturing technique). Comprehensive meta-analysis was used for Meta-analysis. RESULTS: Twelve studies were identified and 1731 patients were enrolled in the study (398 [LRDA] and 1325 [OR]). Total rate of complications and conversion for LRDA was 15.58% and 18.84%, respectively. Complication rates were not significantly affected by operative technique and suturing technique. Conversion rates were not significantly affected operative technique; using a combination of interrupted and running suturing was significantly higher than using running or interrupted (χ2 = 7.45, p < 0.05). Anastomotic leaks, strictures and total complications were equivocal between LRDA and OR (OR 1.672, 95% CI 0.796-3.514; OR 2.010, 95% CI 0.758-5.333; OR 1.172, 95% CI 0.195-7.03). Operative time was significantly greater for LRDA (SDM 1.035, 95% CI 0.574-1.495, p < 0.001). Time to initial and full enteral feeds and length of hospitalisation were shorter in the LRDA group (SDM - 0.493, 95% CI - 2.166 to 1.752, p = 0.466; SDM - 0.207, 95% CI - 1.807 to 0.822, p = 0.019; SDM - 0.111, 95% CI - 1.101 to 0.880, p = 0.466, respectively). CONCLUSIONS: LRDA showed equivalent complication rates compared to OR with an additional benefit of quicker establishment of feeds. There was no significant difference in complication and conversion rates between laparoscopic techniques. Despite a longer operative time, LRDA provides a safe minimal access approach for neonates after this consistent implementation of the technique in the past decade.

Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (DL-WML) might help safely guide IVT administration. We aimed to develop, validate, and evaluate a DL-WML volume on CT compared to the Fazekas scale (WML-Faz) as a risk factor and IVT effect modifier in patients receiving EVT directly after IVT. METHODS: We developed a deep-learning model for WML segmentation on CT and validated with internal and external test sets. In a post hoc analysis of the MR CLEAN No-IV trial, we associated DL-WML volume and WML-Faz with symptomatic-intracerebral hemorrhage (sICH) and 90-day functional outcome according to the modified Rankin Scale (mRS). We used multiplicative interaction terms between WML measures and IVT administration to evaluate IVT treatment effect modification. Regression models were used to report unadjusted and adjusted common odds ratios (cOR/acOR). RESULTS: In total, 516 patients from the MR CLEAN No-IV trial (male/female, 291/225; age median, 71 [IQR, 62-79]) were analyzed. Both DL-WML volume and WML-Faz are associated with sICH (DL-WML volume acOR, 1.78 [95%CI, 1.17; 2.70]; WML-Faz acOR, 1.53 95%CI [1.02; 2.31]) and mRS (DL-WML volume acOR, 0.70 [95%CI, 0.55; 0.87], WML-Faz acOR, 0.73 [95%CI 0.60; 0.88]). Only in the unadjusted IVT effect modification analysis WML-Faz was associated with more sICH if IVT was given (p = 0.046). Neither WML measure was associated with worse mRS if IVT was given. CONCLUSION: DL-WML volume and WML-Faz had a similar relationship with functional outcome and sICH. Although more sICH might occur in patients with more severe WML-Faz receiving IVT, no worse functional outcome was observed. CLINICAL RELEVANCE STATEMENT: White matter lesion severity on baseline CT in acute ischemic stroke patients has a similar predictive value if measured with deep learning or the Fazekas scale. Safe administration of intravenous thrombolysis using white matter lesion severity should be further studied. KEY POINTS: White matter damage is a predisposing risk factor for intracranial hemorrhage in patients with acute ischemic stroke but remains difficult to measure on CT. White matter lesion volume on CT measured with deep learning had a similar association with symptomatic intracerebral hemorrhages and worse functional outcome as the Fazekas scale. A patient-level meta-analysis is required to study the benefit of white matter lesion severity-based selection for intravenous thrombolysis before endovascular treatment.