Orthopaedic surgeon＇s nightmare： iatrogenic fractures of talus and medial malleolus following tibial nailing

Intramedullary interlocking nailing is the gold standard for treatment of tibial shaft fractures.The growing use of intramedullary nailing has resulted in an increased number of tibial nailing in daily...     

Psychological distress in men with prostate cancer receiving adjuvant androgen-deprivation therapy

ObjectivesTo compare the occurrence of depression, anxiety, self body image perception, sleep disturbances, and diminished quality of life in prostate cancer patients undergoing adjuvant androgen-deprivation therapy (ADT) as opposed to patients in follow-up alone.Methods and materialsHospital Anxiety and Depression Scale, Pittsburgh Sleep Quality Index, Restless Legs Syndrome Study Group essential diagnostic criteria, Body Image Scale and Functional Assessment of Cancer Therapy Prostate were administered to consecutive prostate cancer patients who underwent radical prostatectomy or radiation therapy and are presently either under adjuvant ADT or included in a follow-up program.ResultsOf the 103 patients enrolled, 49 (47.6%) were receiving adjuvant ADT and 54 (52.4%) were not. Compared with the controls, the patients undergoing ADT showed higher levels of depression (P = 0.002), worse self body image perception (P = 0.001), worse quality of life (P = 0.0001) and worse sleep quality (P = 0.04). ADT was significantly associated with depression at multivariate analysis after adjustment for age, stage, Gleason score, as well as demographic and social variables (P = 0.001). Depression scores showed a strong inverse correlation with quality of life scores (P < 0.01).ConclusionsAdjuvant ADT is associated with depression, worse quality of life, and altered self body image in prostate cancer patients.     

MicroRNAs in an oral cancer context - from basic biology to clinical utility

Oral cancer is one of the most commonly diagnosed malignancies worldwide. Its dismal five-year survival rate of ~50% has barely changed for decades. A better understanding of the molecular basis of tumorigenesis - with particular emphasis on disease initiation and progression - is needed to improve clinical outcomes, since this will facilitate the development of drugs and management strategies based on the specific genetic changes underpinning disease behaviors. MicroRNAs (miRNAs), a class of short non-coding RNAs that down-regulate gene expression, have been demonstrated to play essential roles in human cancers. miRNA deregulation has been observed in many tumor types and is implicated in oncogenic cell processes, including proliferation, survival, apoptosis, metastasis, and chemoresistance. In addition, miRNA alterations have been associated with specific clinical phenotypes such as disease progression or recurrence, development of metastases, and post-operative survival. Recent studies have explored the utility of miRNAs as diagnostic and prognostic tools and as potential therapeutic targets. Herein, we discuss miRNA biology and provide a summary of the key findings on the role of miRNAs in oral malignancies.     

Epilepsy classification using optimized artificial neural network

ABSTRACT

Objectives: An Electroencephalogram (EEG) is the result of co-operative actions performed by brain cells. In other words, it can be defined as the time course of extracellular field potentials that are generated due to the synchronous action of cells. It is widely used for the analysis and diagnosis of several conditions. But this clinical data use to be multi-dimensional, context-dependent, complex, and it causes a concoction of various computing related research challenges. The objective of this study was to develop a computer-aided diagnosis system for epilepsy detection using EEG signals to ease the diagnosis process.

Materials: In this study, EEG datasets for epilepsy disease detection were taken from a public domain (Bonn University, Germany). These EEG recordings contain 100 single-channel EEG signals with maximum duration of 23.6 seconds. This data set was recorded intra-cranially and extra-cranially with the help of a 128-channel amplifier system using a common reference point.

Results: For a unique set of EEG signal features, the Optimized Artificial Neural Network model for classification and validation was developed with optimum neurons in the hidden layer. Results were tested on the basis of accuracy, sensitivity, precision, and specificity for all classes. The proposed Particle Swarm Optimized Artificial Neural Network provided 99.3% accuracy for EEG signal classification.

Discussion: Our results indicate that artificial neural network has efficiency to provide higher accuracy for epilepsy detection if the statistical features are extracted carefully. It is also possible to improve results for real time diagnosis by using optimization technique for error reduction.

Abbreviations: EEG: Electroencephalogram CAD: Computer-Aided Diagnosis ANN: Artificial Neural Network PSO: Particle Swarm Optimization FIR: Finite Impulse Response IIR: Infinite Impulse Response MSE: Mean Square Error.     

Cystic cochleovestibular anomaly presenting with congenital deafness and recurrent bacterial meningitis in childhood

Recurrent bacterial meningitis (RBM) in many instances is associated with identifiable anatomical defects. Presence of congenital deafness with recurrent meningitis should alert clinician for presence of middle and inner ear malformation. These defects can be demonstrated by various neuro imaging techniques and can be surgically corrected. In this case report we describe a child seen at our institute with congenital deafness and recurrent meningitis, discuss the approach to RBM and briefly describe inner ear malformation associated with the same and how to differentiate them.     

Skin substitutes with noncultured autologous skin cell suspension heal porcine full-thickness wounds in a one-stage procedure

Clinical application of skin substitute is typically a two-stage procedure with application of skin substitute matrix to the wound followed by engraftment of a split-thickness skin graft (STSG). This two-stage procedure requires multiple interventions, increasing the time until the wound is epithelialised. In this study, the feasibility of a one-stage procedure by combining bioengineered collagen-chondroitin-6-sulfate (DS1) or decellularised fetal bovine skin substitute (DS2) with autologous skin cell suspension (ASCS) in a porcine full-thickness wound healing model was evaluated. Twelve full-thickness excisional wounds on the backs of pigs received one of six different treatments: empty; ASCS; DS1 with or without ASCS; DS2 with or without ASCS. The ASCS was prepared using a point-of-care device and was seeded onto the bottom side of DS1, DS2, and empty wounds at 80 000 cells/cm². Wound measurements and photographs were taken on days 0, 9, 14, 21, 28, 35, and 42 post-wounding. Histological analysis was performed on samples obtained on days 9, 14, 28, and 42. Wounds in the empty group or with ASCS alone showed increased wound contraction, fibrosis, and myofibroblast density compared with other treatment groups. The addition of ASCS to DS1 or DS2 resulted in a marked increase in re-epithelialisation of wounds at 14 days, from 15 ± 11% to 71 ± 20% (DS1 vs DS1 + ASCS) or 28 ± 14% to 77 ± 26 (DS2 vs DS2 + ASCS) despite different mechanisms of tissue regeneration employed by the DS used. These results suggest that this approach may be a viable one-stage treatment in clinical practice.     

Management of Primitive Neuroectodermal Tumor of the Kidney with Inferior Vena Cava Thrombus

Primitive neuroectodermal tumors (PNET) are an aggressive group of small round cell tumors usually arising in the nervous system and affecting children. They have a tendency for local invasion, distant spread and formation of tumor thrombi. The kidney is a rare primary location for these tumors. Outcomes are frequently poor due to late diagnosis (Wilms tumor is a more common tumor in this population) and early spread. Immunohistochemistry is invaluable in making the diagnosis of PNET. We report a case of a primary renal PNET with extensive tumor thrombus into the inferior vena cava, and lung metastasis in a pediatric patient, and its successful management. Our 14-year-old patient with renal PNET was managed with radical nephrectomy, thrombectomy and chemotherapy and remains disease free to date. The diagnosis of renal PNETs should be considered in young adult patients who present with aggressive renal masses at initial presentations. Despite its aggressive nature, good outcomes can be achieved by a multimodality therapeutic strategy.Key Words: Primitive neuroectodermal tumors, Kidney cancer, Immunohistochemistry, Thrombosis