We show that an NPMA with a denominator of one-quarter of the tonometer sampling frequency accurately defines CASP when applied to noninvasively acquired RAPWFs in man. These novel findings have important implications for the simplification of noninvasive CASP measurement and its wider application in clinical trials and clinical practice.

Abbreviations & AcronymsObjectives: To characterize the hemodynamics comparing thulium laser vaporesection of the prostate with traditional transurethral resection of the prostate. Methods: A total of 80 consecutive patients with benign prostatic hyperplasia were randomly assigned into the thulium laser vaporesection of the prostate group or transurethral resection of the prostate group. Transpulmonary thermodilution hemodynamic monitoring was used before and 1 h after surgery to assess patient hemodynamics. Acute complications and treatment efficiency were evaluated after surgery. Results: There were no statistical differences in age, prostate volume, anticoagulants and International Prostate Symptom Score between the two groups. The postoperative Stroke Volume Index was significantly higher in the thulium laser vaporesection of the prostate group (P = 0.007). The extravascular lung water and intrathoracic blood volume indices differed significantly pre-and postoperatively, and were similar in both groups. Decreases in serum sodium and hemoglobin concentrations after surgery were lower in the thulium laser vaporesection of the prostate group (P < 0.01). Acute complications, and improvements in International Prostate Symptom Score and maximum urinary flow rates, were similar in both groups. Conclusions: Transpulmonary thermodilution hemodynamic monitoring provides additional safety measures during surgical procedures. Thulium laser vaporesection of the prostate is associated with fewer hemodynamic changes and provides similar efficacy to transurethral resection of the prostate. Thus, it can be considered a safe and effective procedure.

Abstract. In this paper, we describe a subdivision method for handling algebraic implicit curves in 2d and 3d. We use the representation of polynomials in the Bernstein basis associated with a given box, to check if the topology of the curve is determined inside this box, from its points on the border of the box. Subdivision solvers are used for computing these points on the faces of the box, and segments joining these points are deduced to get a graph isotopic to the curve. Using envelop of polynomials, we show how this method allow to handle efficiently and accurately implicit curves with large coefficients. We report on implementation aspects and experimentations on 2d curves such as ridge curves or self intersection curves of parameterized surfaces, and on silhouette curves of implicit surfaces, showing the interesting practical behavior of this approach.

BackgroundFrequent somatic mutations of BRAF and CTNNB1 were identified in both histological subtypes of craniopharyngioma (adamantinomatous and papillary) which shed light on target therapy to cure this oncogenic disease. The aim of this study was to investigate the noninvasive MRI-based radiomics diagnosis to detect BRAF and CTNNB1 mutations in craniopharyngioma patients.MethodsForty-four patients pathologically diagnosed as adamantinomatous craniopharyngioma (ACP) or papillary craniopharyngioma (PCP) were retrospectively studied. High-throughput features were extracted from manually segmented tumors in MR images of each case. The modifications-robustness in region of interests and Random Forest-based feature selection methods were adopted to select the most significant features. Random forest classifier with 10-fold cross-validation was applied to build our radiomics model.ResultsFour features were selected to make pathological diagnosis between ACP and PCP with area under the receiver operating characteristic curve (AUC) of 0.89, accurancy (ACC) of 0.86, sensitivity (SENS) of 0.89 and specificity (SPEC) of 0.85. The other two features were applied to estimate BRAF V600E mutation with AUC of 0.91, ACC of 0.93, SENS of 0.83 and SPEC of 0.97. Accurate predication of CTNNB1 mutation by three selected features was realized with AUC of 0.93, ACC of 0.86, SENS of 0.86 and SPEC of 0.86.ConclusionsWe developed a reliable MRI-based radiomics approach to perform pathological and molecular diagnosis in craniopharyngioma patients with considerably accurate prediction, which could offer potential guidance for clinical decision-making.Electronic supplementary materialThe online version of this article (10.1186/s12883-018-1216-z) contains supplementary material, which is available to authorized users.