Towards Standardized Assessment of Paraspinal Muscle Using MRI

• Common methodological variations in paraspinal muscle (PSM) measurement significantly affect cross-sectional area and fat percentage measurements. • The lack of standardization of PSM measurements complicates comparisons of findings between studies and prevents pooling of data for meta-analyses. • Standardization in PSM measurements is needed to move the field forwar

Residual Block Error Rate Prediction for IR HARQ Protocol

This paper provides a simple estimation of the Long Term Evolution (LTE) physical and Medium Access Control (MAC) layer peak transmission performance-the irreducible Block-Error-Rate (BLER) that determines the Hybrid Automatic Repeat Request (HARQ) residual channel available to higher-layer protocols. With this regard, the general pre-HARQ BLER prediction is developed for the redundancy version 0 (RV0) codeword transmission, expressed by the Bit-Error-Rate (BER)), considering the cyclic prefix protection against inter-symbol interference sufficient to prevent long error bursts. This implies only sporadic bit error occurrences, exhibiting moderate mutual interdependence that we modelled considering errored bits of each block of data as a sample without replacement and consequently describing it with the hypergeometric distribution instead of the mostly used binomial one. The HARQ BLER estimation model is verified by both problem-dedicated Monte-Carlo simulations and industry-standard LTE software simulation tool, specifically for the LTE FDD downlink channel environment, as the test results exhibit excellent matching with the residual BLER prediction

Correlation of TP53 overexpression and clinical parameters with five-year survival in oral squamous cell carcinoma patients

Abstract Introduction TP53 mutation and overexpression have been correlated with poor survival in many cancers including oral squamous cell carcinoma (OSCC). We aim to understand the role of TP53 overexpression in OSCC in our population and correlate it with five-year survival to test its viability as a prognostic marker for OSCC patients. Materials and methods Patients with biopsy proven OSCC at Aga Khan University Hospital from January 2000 to January 2008 were recruited. Immunohistochemistry was used to establish TP53 status and the results were published. Following up on these patients, five-year data were collected and correlated with TP53 status and other clinicopathologic parameters. Results Overexpression of TP53 was not significantly associated with five-year survival (hazard ratio [HR]: 1.543; 95% CI: 0.911-2.612; p = 0.107). Conclusion Although we had proven statistical relevance when correlated with overall survival in our previous study, we were unable to extend the same relevance to TP53 overexpression when it comes to five-year survival

Locking Versus Non-Locking Miniplates in the Treatment of Mandibular Fractures in Above 35 Years Age Patients

Objective: To compare the frequency of short term post-operative infection of locking plates versus non-locking plate in mandibular fractures in patients above 35 years of age. Methodology: A randomized controlled study was conducted at the Department of Oral and Maxillofacial Surgery, Pakistan Institute of Medical Sciences, Islamabad from January 2018 to January 2019, involving a 100 patients (50 patients in each group). On the basis of history, clinical features, orthopantomogram (OPG) and intraoperative findings, the diagnosis of mandibular fractures was established. Group A patients were treated with reduction and fixation of fracture with locking miniplates and miniscrews following champy’s principle of osteosynthesis. Whereas in group B patients, fractures were reduced and fixed with non-locking miniplates and miniscrews following champy’s principle of osteosynthesis. Results: Effect modifiers such as age, gender, and type of fracture were controlled by stratification. A post-stratification chi-square test was applied. The 1 patient that had infection in group A had an age range 50- 65 years (53 years) (P value: 0.197) while the 2 patients that had infection in group B were younger in age range of 35-50 years (36 years and 38 years) (P value: 0.322). The 1 patient who had infection in group A was female (P value: 0.043) while the 2 patients of group B who had infection were also females (P value: 0.027). In group A, only 1 patient had infection at the para-symphysis of mandible according to site (P value: 0.494). In group B, 1 patient had infection at para-symphysis of mandible and 1 at the body of the mandible site (P value: 0.599).  The results were not statistically significant in terms of infection by the end of 3rd week. Conclusion: The study concludes that insignificant post-operative infection rates while managing mandibular fractures either by locking plates or non-locking plates.

Highly efficient maximum power point tracking control technique for PV system under dynamic operating conditions

publishedVersio

Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems

Large scale integration of renewable energy system with classical electrical power generation system requires a precise balance to maintain and optimize the supply–demand limitations in power grids operations. For this purpose, accurate forecasting is needed from wind energy conversion systems (WECS) and solar power plants (SPPs). This daunting task has limits with long-short term and precise term forecasting due to the highly random nature of environmental conditions. This paper offers a hybrid variational decomposition model (HVDM) as a revolutionary composite deep learning-based evolutionary technique for accurate power production forecasting in microgrid farms. The objective is to obtain precise short-term forecasting in five steps of development. An improvised dynamic group-based cooperative search (IDGC) mechanism with a IDGC-Radial Basis Function Neural Network (IDGC-RBFNN) is proposed for enhanced accurate short-term power forecasting. For this purpose, meteorological data with time series is utilized. SCADA data provide the values to the system. The improvisation has been made to the metaheuristic algorithm and an enhanced training mechanism is designed for the short term wind forecasting (STWF) problem. The results are compared with two different Neural Network topologies and three heuristic algorithms: particle swarm intelligence (PSO), IDGC, and dynamic group cooperation optimization (DGCO). The 24 h ahead are studied in the experimental simulations. The analysis is made using seasonal behavior for year-round performance analysis. The prediction accuracy achieved by the proposed hybrid model shows greater results. The comparison is made statistically with existing works and literature showing highly effective accuracy at a lower computational burden. Three seasonal results are compared graphically and statistically.publishedVersio

How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation

Recent developments in deep learning (DL) techniques have led to great performance improvement in medical image segmentation tasks, especially with the latest Transformer model and its variants. While labels from fusing multi-rater manual segmentations are often employed as ideal ground truths in DL model training, inter-rater variability due to factors such as training bias, image noise, and extreme anatomical variability can still affect the performance and uncertainty of the resulting algorithms. Knowledge regarding how inter-rater variability affects the reliability of the resulting DL algorithms, a key element in clinical deployment, can help inform better training data construction and DL models, but has not been explored extensively. In this paper, we measure aleatoric and epistemic uncertainties using test-time augmentation (TTA), test-time dropout (TTD), and deep ensemble to explore their relationship with inter-rater variability. Furthermore, we compare UNet and TransUNet to study the impacts of Transformers on model uncertainty with two label fusion strategies. We conduct a case study using multi-class paraspinal muscle segmentation from T2w MRIs. Our study reveals the interplay between inter-rater variability and uncertainties, affected by choices of label fusion strategies and DL models.Comment: Accepted in UNSURE MICCAI 202

ROLE OF SONOELASTOGRAPHY IN THE EVALUATION OF THYROID NODULES

Thyroid nodular disease is one of the most common endocrine disorder. B mode ultrasound provides useful characteristic information about thyroid nodules but it has noticeably low accuracy to differentiate benign from malignant. Fine needle aspiration is widely been used in differentiation of benign and malignant thyroid nodules but it is an invasive procedure. Sonoelastography is a newly developed non- invasive technique which uses ultrasound and gives information about the stiffness of tissue. It estimates the hardness of thyroid lesions in association with adjacent tissues and assists in the differentiation of benign from malignant nodules.Objective:The objective of this study was to evaluate the role sonoelastography in the evaluation of thyroid nodules. Methods:This study was conducted on 72 Patients of age between 18-80 years of either gender at Institute of Nuclear Medicine and Oncology Lahore (INMOL) Pakistan, from 25 March 2019 to 23 August 2019 for duration of five months. Elastography was performed using Toshiba Aplio 500.  Patient having one or more solid nodules in thyroid on conventional ultrasound examination were included in the study and the sonoelastography of nodules was confirmed with histopathological findings of nodules. Results: A total 72 participants were included in our study. The mean age of participants was 42.11 years. Gender distribution shows that 51.4% (n=37) were male and 48.6% (n=35) were female. Sonoelastographic strain ratio of 55.6% nodules (n=40) was more than 2.1(malignant feature) and 44.4% nodules (n=32) have less than 2.1 (benign). Histopathology showed 56.9% of participants (n=41) have malignant nodules and 43.1% (n=31) have benign nodules. The comparison of sonoelastography and histopathology in reference with nodules shows that the results of histopathology and sonoelastography were same and support each other. Conclusion: Sonoelastography is non-invasive and cost-effective imaging technique to diagnose thyroid nodules either benign or malignant. Keywords: Ultrasound Elastography, Thyroid Nodules, Benign, Malignant, Fine Needle Aspiration. DOI: 10.7176/JHMN/66-08 Publication date:September 30th 201