Is There an Optimal Definition for a Positive Circumferential Resection Margin in Locally Advanced Esophageal Cancer?

BACKGROUND: Two definitions of a positive circumferential resection margin (CRM) in esophageal cancer coexist: one by the College of American Pathologists (CAP) (CRM = 0 mm) and another by the Royal College of Pathologists (RCP) (CRM ≤ 1 mm). This study aimed to evaluate the prognostic value of both definitions in esophageal cancer and to identify a new cutoff value for the CRM to predict survival. METHODS: Patients who underwent curative esophageal resection for locally advanced (≥ pT3) adenocarcinoma or squamous cell carcinoma were selected from 2007 to 2016. The CRM was reassessed using an ocular micrometer. Overall survival (OS) and disease-free survival were estimated with uni- and multivariate analyses. RESULTS: The study enrolled 283 patients: 48 with a positive CRM according to the CAP definition and 171 with a positive CRM according to the RCP definition. In the multivariate analysis, a positive CRM according to both definitions was significantly associated with a poor OS (CAP: hazard ratio [HR], 2.26, p < 0.001; RCP: HR, 1.42, p = 0.035). A CRM of 0 mm was predictive of a worse OS and DFS than a CRM of 1 mm or less (p < 0.0001), whereas no significant difference was found between a CRM greater than 1 mm and a CRM of 1 mm or less, indicating that the CAP definition was more accurate for predicting prognosis and recurrence. New cutoff CRM values of 100 µm in squamous cell carcinoma and 200 µm in adenocarcinoma were optimal for predicting OS. CONCLUSION: The CAP definition was more accurate for predicting prognosis and recurrence. The study identified a new cutoff value of CRM according to histologic type.

[Epidemiology, treatment and follow-up of central nervous system hemangioblastomas in von Hippel-Lindau disease]. / Épidémiologie, traitement et suivi des hémangioblastomes du système nerveux central dans le cadre de la maladie de von Hippel-Lindau.

INTRODUCTION: Central nervous system (CNS) hemangioblastomas (HGB) are rare vascular tumors. The goal of this study was to analyze their epidemiology, treatment and prognosis in association with von Hippel-Lindau (VHL) disease. METHODS: We retrospectively reviewed a series of patients treated in our department for a CNS HGB with VHL disease between 1996 and 2008. We analyzed pre- and postoperative clinical and radiological characteristics, number of visceral lesions (fundoscopy, abdomino-pelvian CT, metanephrines), clinical course (modified Rankin Scale and McCormick scale) and late prognosis (Kaplan-Meier survival curves). RESULTS: We studied 19 cases (sex-ratio 0.9, mean age 36). The mean time to diagnosis was 61days. The main symptom was intracranial hypertension for cerebellar lesions (7/15) and a sensitive-motor deficit for medulla oblongata (2/5) or spinal lesions (5/11). Preferred locations were cerebellum (15/31), often nodulo-cystic appearance, followed by spinal cord (11/31), frequently coming with adjacent syringomyelia. Multiple locations and visceral lesions were found in two-third of the cases. Surgical removal was complete in more than three-quarter of the cases. Mean follow-up duration was 9years. Postoperative mortality rate was 16%. In cerebellar and medulla oblongata locations together, final mRS was ≤1 in 17 of the 20 cases. In spinal cord locations, final McCormick score was ≤2 in all the cases. After delayed follow-up, about two-third of patients experienced recurrence or new progressive CNS lesions. CONCLUSION: HGB are rare CNS tumors. VHL disease should be considered when an HGB is diagnosed before 30, is located at the spinal cord, comes with multiple other CNS lesions or with typical peripheral lesions. Microsurgical removal is the gold standard treatment and can offer good functional results.

Natural history of percutaneous drainage of postoperative collection following colorectal surgery: in which patients can follow-up imaging be dispensed with before drain removal?

INTRODUCTION: Colorectal surgery is complicated by postoperative collections in up to 25% of cases depending on local conditions. The aim of this study was to identify predictive factors of success of percutaneous drainage of collections in order to avoid follow-up imaging. PATIENTS AND METHODS: All consecutive patients between January 2009 and December 2016, who had undergone elective or emergency colorectal surgery (colorectal surgery and appendectomy) complicated by a postoperative collection treated by percutaneous drainage with follow-up imaging prior to drain removal, were included in this single-center and retrospective study. The primary objective was to assess predictive factors of success of the first attempt of percutaneous drainage of collections. Secondary objectives were to describe the natural history of percutaneous drainage of postoperative collections after colorectal surgery and the overall success rate of percutaneous drainage. RESULTS: Fifty-three patients underwent percutaneous drainage of a postoperative collection during the study period and were included in this study. Complete resolution of the collection was observed on the first follow-up radiological examination in 36 patients (58%). In multivariate analysis, post-appendectomy collections (OR = 3.19 (1.14-9.27), p = 0.002) and reduction of the leukocyte count (OR = 3.22 (1.28-8.1), p = 0.013) were significantly associated with success of percutaneous drainage. CONCLUSION: This is the first study to address that follow-up imaging prior to drain removal might not be necessary in patients undergoing drainage of post-appendectomy collections and/or with more than 30% reduction of the leukocyte count at the first follow-up examination.

Semirelativistic Lagrange mesh calculations.

The Lagrange mesh method is a very powerful procedure to compute eigenvalues and eigenfunctions of nonrelativistic Hamiltonians. The trial eigenstates are developed in a basis of well-chosen functions and the computation of Hamiltonian matrix elements requires only the evaluation of the potential at grid points. It is shown that this method can be used to solve semirelativistic two-body eigenvalue equations. As in the nonrelativistic case, it is very accurate, fast, and very simple to implement.