Liquid–liquid equilibrium of the Ucon 50-HB5100/sodium citrate aqueous two-phase systems

The phase diagrams of Ucon 50-HB5100/sodium citrate aqueous two-phase systems were determined at 5, 20 and 40 ◦C. Two medium pHs 5.20 and 8.20 were assayed. The binodal curves were satisfactorily described using a four-parameter sigmoidal equation. The two-phase area was expanded by increasing both pH and temperature. The reliability of the measured tie line compositions was ascertained by correlation equations given by Othmer–Tobias and Bancroft.VALNATURACONICETALFA II-0440-FA-Exchange programme between Universities of the European Union and Latin Americ

Liquid-liquid equilibrium and partitioning features of bovine trypsin in Ucon 50 HB5100 /sodium citrate aqueous two phase systems

The phase diagrams of Ucon 50-HB-5100, a non-ionic random copolymer of ethylene oxide and propylene oxide (EOPO) and sodium citrate aqueous two-phase systems were determined at different pHs (5.20 and 8.20) and temperatures (5, 20 and 40º C). The binodal curves were determined by refractive index and enzymatic assay of the solution and described using a four-parameter sigmoidal equation, the reliability of the measured tie line compositions was ascertained by correlation equations given by Othmer Tobias and Bancroft. The two-phase area was expanded by increasing both pH and temperature. The partitioning of bovine trypsin and a-chymotrypsin, proteases of similar physico-chemical properties was investigated in order to evaluate the applicability of partitioning as a putative method to isolate from pancreas and to obtain any information about their partitioning mechanism. The effect of different factors such as pH, tie line length and the presence of an inorganic salt on the protein partition coefficient were analyzed.Se caracterizaron las curvas binomiales correspondientes a los sistemas bifásicos acuosos formados por Ucon 50-HB-5100, un copolímero al azar de óxido de etileno y óxido de propileno (EOPO) y citrato de sodio a diferentes pHs (5,20 y 8,20) y temperaturas (5, 20 y 40º C). Las curvas binomiales se obtuvieron por determinación del índice de refracción y ensayos enzimáticos de las soluciones correspondientes; las composiciones de las líneas de unión se corroboraron por las ecuaciones propuestas por Othmer Tobias y Bancroft. El aumento del pH y la temperatura condujeron a un aumento del área bifásica. También se ensayó el comportamiento de reparto de dos proteasas tripsina y α-quimotripsina con el objetivo de emplear los principios de partición como método de aislamiento y purificación de Tripsina a partir de páncreas bovino y de obtener información acerca del mecanismo de partición de la misma. Se analizó el efecto del pH, longitud de la línea de unión y presencia de sales inorgánicas sobre el coeficiente de partición de las enzimas

Voiding cystourethrogram in the diagnosis of vesicoureteric reflux in children with antenatally diagnosed hydronephrosis

Prenatal ultrasonography has revolutionized the detection and management of many urological abnormalities. Vesicoureteric reflux (VUR) which develops in 10% to 15% of cases of prenatal hydronephrosis, is difficult to predict prenatally. While all children with prenatal hydronephrosis should undergo ultrasonography within the first few weeks of life, there seems to be controversy regarding the role of voiding cystourethrogram (VCUG) in the assessment of these children

Laparoscopic Approach to Vesicovaginal Fistula: Our Experience

AbstractIntroduction: Most Vesicovaginal fistulas  in the industrialized world are iatrogenic, Though they may also result from congenital anomalies, malignant disease, inflammation and infection, radiation therapy, iatrogenic (surgical) or external tissue trauma, ischemia, parturition and a variety of other processes. Vesicovaginal fistulas (VVF) represent, by far, the most common type of acquired fistula of the urinary tract. The goal of treatment of these fistulas is the rapid cessation of urine leakage with return of normal and complete urinary and genital function.Materials and Methods: Female patients presenting with iatrogenic Vesicovaginal fistula formed the study group. A detailed history and physical examination was carried out. Imaging included intravenous urogram, cystogram, computerised tomography, MR imaging and retrograde ureterogram as felt necessary.  Surgical repair of Vesicovaginal fistula was carried out through a laparoscopic approach.Results: 24 women presented with VVF, of these 19 underwent laparoscopic transperitoneal repair, whereas 5 underwent laparoscopic transvesicoscopic repair. The intraoperative blood loss was minimal (< 100 ml) and no major perioperative complications were noted. Conclusions: Minimally invasive approaches to repair vesico-vaginal fistulas are feasible, safe and associated with minimal blood loss, hospital stay and morbidity.Keywords: Laparoscopy, Minimally invasive, Vesicovaginal fistul

Primitive Neuroectodermal Tumor (PNET) of the Kidney with Level IV Inferior Vena Caval Thrombus: A Case Report

Primitive neuroectodermal tumor (PNET) is classified as a malignant tumor of the kidney. It was first recognized by Arthur Purdy Stout in 1918, as a member of the family of “small round-cell tumorsâ€. Primitive renal localization is very rare. We report a case of Primitive neuroectodermal tumor of the kidney with level IV inferior vena caval (IVC) thrombus. Histologically, the tumor consisted of small round cells with round nuclei and scant cytoplasm

Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification

Prostate cancer (PCa) is a severe disease among men globally. It is important to identify PCa early and make a precise diagnosis for effective treatment. For PCa diagnosis, Multi-parametric magnetic resonance imaging (mpMRI) emerged as an invaluable imaging modality that offers a precise anatomical view of the prostate gland and its tissue structure. Deep learning (DL) models can enhance existing clinical systems and improve patient care by locating regions of interest for physicians. Recently, DL techniques have been employed to develop a pipeline for segmenting and classifying different cancer types. These studies show that DL can be used to increase diagnostic precision and give objective results without variability. This work uses well-known DL models for the classification and segmentation of mpMRI images to detect PCa. Our implementation involves four pipelines; Semantic DeepSegNet with ResNet50, DeepSegNet with recurrent neural network (RNN), U-Net with RNN, and U-Net with a long short-term memory (LSTM). Each segmentation model is paired with a different classifier to evaluate the performance using different metrics. The results of our experiments show that the pipeline that uses the combination of U-Net and the LSTM model outperforms all other combinations, excelling in both segmentation and classification tasks.Comment: Accepted at CISCON-202

Antenatally diagnosed upper moiety hydronephrosis in a child with ectopic ureter: A case report

An ectopic ureter is any ureter, single or duplex, that does not enter the trigonal area of the bladder. In a duplex system, the ectopic ureter is inevitably the upper pole ureter. In males, the ectopic ureter always enters the urogenital system above the external sphincter. The majority of ectopic ureters are detected through prenatal ultrasound imaging, even if the specific diagnosis is not made until after birth. Radionuclide renal imaging remains the gold standard for renal functional assessment, and this is usually best provided by dimercaptosuccinic acid imaging. The goals of therapy are the preservation of renal function; elimination of infection, obstruction, and reflux; and maintenance of urinary continence. We report a case of a 6-month-old male child presenting with urinary tract infection. The child was diagnosed to have had a cystic dilatation of the right upper moiety on antenatal ultrasonography imaging

Revolutionizing Prostate Whole-Slide Image Super-Resolution: A Comparative Journey from Regression to Generative Adversarial Networks

Microscopic and digital whole-slide images (WSIs) often suffer from limited spatial resolution, hindering accurate pathological analysis and cancer diagnosis. Improving the spatial resolution of these pathology images is crucial, as it can enhance the visualization of fine cellular and tissue structures, leading to more reliable and precise cancer detection and diagnosis. This paper presents a comprehensive comparative study on super-resolution (SR) reconstruction techniques for prostate WSI, exploring a range of machine learning, deep learning, and generative adversarial network (GAN) algorithms. The algorithms investigated include regression, sparse learning, principal component analysis, bicubic interpolation, multi-support vector neural networks, an SR convolutional neural network, and an autoencoder, along with advanced SRGAN-based methods. The performance of these algorithms was meticulously evaluated using a suite of metrics, such as the peak signal-to-noise ratio (PSNR), structural similarity index mepublishedVersio

Augmentation gastrocystoplasty in a child with orofacial syndrome and dysfunctional voiding

We report the case of a child diagnosed with orofacial syndrome with dysfunctional voiding and elevated serum creatinine in whom augmentation gastrocystoplasty was performed to manage urinary incontinence.Keywords: augmentation gastrocystoplasty, dysfunctional voiding, orofacial syndrom