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World Journal of Radiology 2015年第8期7卷 194-197页

作者： Adel maataoui Thomas J Vogl m fawad khan Institute for Diagnostic and Interventional Radiology Goethe University

Intervertebral disc degeneration and facet joint osteoarthritis of the lumbar spine are, among others, wellknown as a cause of low back and lower extremity pain. Together with their secondary disorders they set a big burden on health care systems and economics worldwide. Despite modern imaging modalities, such as magnetic resonance imaging, for a large proportion of patients with low back pain(LBP) it remains difficult to provide a specific diagnosis. The fact that nearly all the lumbar structures are possible sources of LBP, may serve as a possible explanation. Furthermore, our clinical experience confirms, that imaging alone is not a sufficient approach explaining LBP. Here, the Oswestry Disability Index, as the most commonly used measure to quantify disability for LBP, may serve as an easy-toapply questionnaire to evaluate the patient's ability to cope with everyday life. For therapeutic purposes, among the different options, the lumbar facet joint intraarticular injection of corticosteroids in combination with an anaesthetic solution is one of the most frequently performed interventional procedures. Although widely used the clinical benefit of intra-articular steroid injections remains controversial. Therefore, prior to therapy, standardized diagnostic algorithms for an accurate assessment, classification and correlation of degenerative changes of the lumbar spine are needed.

关键词： Low back pain Spine Intervertebral disc disease Facet joint osteoarthritis magnetic resonance imaging Oswestry Disability Index

Enteroclysis:Current clinical value

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World Journal of Radiology 2013年第7期5卷 253-258页

作者： Adel maataoui Thomas J Vogl Volkmar Jacobi m fawad khan Institute for Diagnostic and Interventional Radiology Goethe University 60590 Frankfurt am Main Germany

AIm: To retrospectively analyze changes in clinical indication, referring medical specialty and detected pathology for small bowel double-contrast examinations. mETHODS: Two hundred and forty-one (n = 143 females; n = 98 males; 01.01.1990-31.12.1990) and 384 (n = 225 females; n = 159 males; 01.01.2004-31.12.2010) patients underwent enteroclysis, respectively. All exami- nations were performed in standardized double-contrast technique. After placement of a nasojejunal probe distal to the ligament of Treitz, radiopaque contrast media followed by Xray negative distending contrast media were administered. Following this standardized projections in all four abdominal quadrants were acquired. Depending on the detected pathology further documentation was carried out by focused imaging. Examination protocols were reviewed and compared concerning requesting unit, indication and final report. RESULTS: Two hundred and forty-one examinations in 1990 faced an average of 55 examinations per year from 2004-2010. There was an increase of examinations for gastroenterological (33.6% to 64.6%) andpediatric (0.4% to 7.8%) indications while internal (29.0% to 6.0% for inpatients and from 16.6% to 9.1% for outpatients) and surgical (12.4% to 7.3%) referrals significantly decreased. 'Follow-up of Crohn’s disease' (33.1%) and 'bleeding/tumor search' (15.1%) represented the most frequent clinical indications. A total of 34% (1990) and 53.4% (2004-2010) examinations yielded pathologic findings. In the period 01.01.2004 -31.12.2010 the largest proportion of pathological findings was found in patients with diagnosed Crohn’s disease (73.5%), followed by patients with abdominal pain (67.6% with history of surgery and 52.6% without history of surgery), chronic diarrhea (41.7%), suspected Crohn’s disease (39.5%) and search for gastrointestinal bleeding source/tumor (19.1%). The most common pathologies diagnosed by enteroclysis were 'changes in Crohn’s disease' (25.0%) and 'adhesions /strictures' (

关键词： Inflammatory bowel diseases Fluoroscopy Double-Balloon enteroscopy magnetic resonance imag- ing Helical computed tomography

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mesenteric myolipoma

World Journal of Radiology 2013年第11期5卷 446-449页

作者： Adel maataoui fawad m khan Thomas J Vogl Alexander Erler Institute for Diagnostic and Interventional Radiology Johann Wolfgang Goethe University Institute for Pathology Helios Hospital Wuppertal

The authors report on a case of benign myolipoma(synonym lipoleiomyoma) which was first described in 1991. The benign soft tissue tumor is composed of smooth muscle and adipose tissue and occurs sporadically in different locations. In the available literature cases were described retroperitoneal, spinal, orbital and subcutaneous and mostly have been discovered in females. Characteristically myolipomas are very large at diagnosis and reach diameters of 7 to 30 cm particularly in peritoneal or retroperitoneal localization. The sometimes enormous size leads to a displacing growth pattern which ultimately leads to the clinical symptoms. The patients often complain of nonspecific, mostly painless abdominal or thoracic pressure. Bordered by an intact capsule the tumors show no signs of malignancy and in the available literature there is no evidence of metastatic seeding. To the best of our knowledge the presented case is the first description of a diffuse mesenteric myolipoma in a male individual. In this article, we present the multidetector computed tomographic image characteristics, macroscopic appearance and histopathological findings.

关键词： multidetector computed tomography male individual Small bowel Peritoneum Diffuse mesenteric myolipoma

Association between facet joint osteoarthritis and the Oswestry Disability Index

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World Journal of Radiology 2014年第11期6卷 881-885页

作者： Adel maataoui Thomas J Vogl marcus middendorp Konstantinos Kafchitsas m fawad khan Institute for Diagnostic and Interventional Radiology Goethe University60590 Frankfurt/MainGermany Department of Nuclear medicine Goethe University60590 Frankfurt/MainGermany Spine Surgery Asklepios Clinic Lindenlohe92421 SchwandorfGermany

AIm:To investigate the correlation of facet joint osteoarthritis(FJOA) at lumbar levels L4/L5 and L5/S1 and the Oswestry Disability Index(ODI).mETHODS:The study involved lumbar mRIs of 591 patients with a mean age of 47.3 *** mRIs of the lumbar spine were performed on a 1.5 Tesla scanner(magnetom Avanto,Siemens AG,Erlangen,Germany) using a dedicated receive only spine *** initial blinding,each dataset was evaluated by 2 board certified radiologist with more than 5 years experience in musculoskeletal *** total 2364 facet joints were *** changes of the facet joints were evaluated according to the 4-point scale as proposed by Weishaupt et al Functional status was assessed using the *** index is scored from 0 to 100 and interpreted as follows:0%-20%,minimaldisability; 20%-40%,moderate disability; 40%-60%,severe disability; 60%-80%,crippled; 80%-100%,patients are ***’s coefficient of rank correlation was used for statistical analysis,with significance set at P mbar levels L4/5 and L5/S1 were analysed in 591 *** was present in 97%(L4/L5) and 98%(L5/S1).At level L4/5(left/right) 17/15(2.9%/2.5%) were described as grade 0,146/147(24.7%/24.9%) as grade 1,290/302(49.1%/51.1%) as grade 2 and 138/127(23.4%/21.5%) as grade *** level L5/S1(left/right) 10/11(1.7%/1.9%) were described as grade 0,136/136(23.0%/23.0%) as grade 1,318/325(53.8%/55.0%) as grade 2 and 127/119(21.5%/20.1%) as grade *** the ODI scores,patients’ disability had a minimum of 0% and a maximum of 91.11% with an arithmetic mean of 32.77% ± 17.02%.The majority of patients(48.39%) had moderate functional disability(21%-40%).There was no significant correlation between FJOA and ODI on both sides of lumbar level L4/5 and on the left side of lumbar level L5/S1.A weak positive correlation was evaluated between ODI and FJOA on the right side of lumbar level L5/***:The missing correlat

关键词： Spine Facet joint osteoarthritis magnetic resonance imaging Low back pain Oswestry Disability Index

Correlation of lumbar lateral recess stenosis in magnetic resonance imaging and clinical symptoms

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World Journal of Radiology 2017年第5期9卷 223-229页

作者： Annina SplettstoBer m fawad khan Bernd Zimmermann Thomas J Vogl Hanns Ackermann marcus middendorp Adel maataoui Radprax mVZ Institute for Diagnostic and Interventional Radiology Goethe University Institute of Biostatistics and mathematical modeling Goethe University Department of Nuclear medicine Goethe University

AIm To assess the correlation of lateral recess stenosis(LRS) of lumbar segments L4/5 and L5/S1 and the Oswestry Disability Index(ODI).mETHODS Nine hundred and twenty-seven patients with history of low back pain were included in this uncontrolled *** magnetic resonance images(mRI) the lateral recesses(LR) at lumbar levels L4/5 and L5/S1 were evaluated and each nerve root was classified into a 4-point grading scale(Grade 0-3) as normal,not deviated,deviated or *** symptoms and disability were assessed using *** Spearman's rank correlation coefficient was used for statistical analysis(P mately half of the LR revealed stenosis(grade 1-3;52% at level L4/5 and 42% at level L5/S1) with 2.2% and 1.9% respectively reveal a nerve root *** ODI score ranged from 0%-91.11% with an arithmetic mean of 34.06% ± 16.89%.We observed a very weak statistically significant positive correlation between ODI and LRS at lumbar levels L4/5 and L5/S1,each bilaterally(L4/5 left:rho mRI is the standard imaging tool for diagnosing lumbar spinal stenosis,this study showed only a weak correlation of LRS on mRI and clinical *** can be attributed to a number of reasons outlined in this study,underlining that imaging findings alone are not sufficient to establish a reliable diagnosis for patients with LRS.

关键词： Low back pain Lumbar spine magnetic resonance imaging Lateral recess stenosis Oswestry Disability Score Lumbar spinal canal stenosis

Does therapist's attitude affect clinical outcome of lumbar facet joint injections?

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World Journal of Radiology 2016年第6期8卷 628-634页

作者： marcus middendorp Konstantinos Kollias Hanns Ackermann Annina Splettstoβer Thomas J Vogl m fawad khan Adel maataoui Department of Nuclear medicine Goethe University Institute for Diagnostic and Interventional Radiology Goethe University Institute of Biostatistics and mathematical modeling Goethe University radprax mVZ

AIm: To investigate if the clinical outcome of intraarticular lumbar facet joint injections is affected by the therapist's attitude. mETHODS: A total of 40 patients with facet jointassociated chronic low back pain were randomly divided into two groups. All patients received computed tomography-guided, monosegmental intra-articular facet joint injections. Following the therapeutic procedure, the patients of the experimental group(EG) held a conversation with the radiologist in a comfortable atmosphere. During the dialog, the patients were encouraged to ask questions and were shown four images. The patients of the control group(CG) left the clinic without any further contact with the radiologist. Outcome was assessed using a pain-based Verbal Numeric Scale at baseline, at 1 wk and at 1, 3, and 6 mo after first treatment. RESULTS: The patient demographics showed no differences between the groups. The patients of the EG received 57 interventional procedures in total, while the patients of the CG received 70 interventional procedures. In both groups, the pain scores decreased significantly over the entire observation period. Compared to the CG, the EG showed a statistically significant reduction of pain at 1 wk and 1 mo post-treatment, while at 3 and 6 mo after treatment, there were no significant differences between both groups. CONCLUSION: Our results show a significant effect on pain relief during the early post-interventional period in the EG as compared to the CG. The basic principle behind the higher efficacy might be the phenomenon of hetero-suggestion.

关键词： Facet joint injection Hetero-suggestion Low back pain Lumbar spine magnetic resonance imaging Facet joint osteoarthritis

Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’Response Against COVID Variants

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Computers, materials & Continua 2023年第5期75卷 3517-3535页

作者： Hassam Tahir muhammad Shahbaz khan fawad Ahmed Abdullah m.Albarrak Sultan Noman Qasem Jawad Ahmad Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Cyber Security Pakistan Navy Engineering CollegeNUSTKarachi75350Pakistan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburghEH105DTU.K

TheCOVID-19 outbreak began in December 2019 andwas declared a global health emergency by the World Health *** four most dominating variants are Beta,Gamma,Delta,and *** the administration of vaccine doses,an eminent decline in new cases has been *** COVID-19 vaccine induces neutralizing antibodies and T-cells in our ***,strong variants likeDelta and Omicron tend to escape these neutralizing antibodies elicited by COVID-19 ***,it is indispensable to study,analyze and most importantly,predict the response of SARS-CoV-2-derived t-cell epitopes against Covid variants in vaccinated and unvaccinated *** this regard,machine learning can be effectively utilized for predicting the response of COVID-derived t-cell *** this study,prediction of T-cells Epitopes’response was conducted for vaccinated and unvaccinated people for Beta,Gamma,Delta,and Omicron *** dataset was divided into two classes,i.e.,vaccinated and unvaccinated,and the predicted response of T-cell Epitopes was divided into three categories,i.e.,Strong,Impaired,and *** the aforementioned prediction purposes,a self-proposed Bayesian neural network has been designed by combining variational inference and flow normalization ***,the Hidden markov model has also been trained on the same dataset to compare the results of the self-proposed Bayesian neural network with this state-of-the-art statistical *** experimentation and results demonstrate the efficacy of the proposed network in terms of accurate prediction and reduced error.

关键词： Omicron COVID-19 hidden markov model Bayesian neural network

Dynamic Hand Gesture Recognition Using 3D-CNN and LSTm Networks

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Computers, materials & Continua 2022年第3期70卷 4675-4690页

作者： muneeb Ur Rehman fawad Ahmed muhammad Attique khan Usman Tariq Faisal Abdulaziz Alfouzan Nouf m.Alzahrani Jawad Ahmad Department of Electrical Engineering HITEC University TaxilaPakistan Department of Computer Science HITEC University TaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Forensic Sciences College of Criminal JusticeNaif Arab University for Security SciencesRiyadhSaudi Arabia Department of Information Technology Albaha UniversityAlbahaSaudi Arabia School of Computing Edinburgh Napier UniversityUK

Recognition of dynamic hand gestures in real-time is a difficult task because the system can never know when or from where the gesture starts and ends in a video *** researchers have been working on visionbased gesture recognition due to its various *** paper proposes a deep learning architecture based on the combination of a 3D Convolutional Neural Network(3D-CNN)and a Long Short-Term memory(LSTm)*** proposed architecture extracts spatial-temporal information from video sequences input while avoiding extensive *** 3D-CNN is used for the extraction of spectral and spatial features which are then given to the LSTm network through which classification is carried *** proposed model is a light-weight architecture with only 3.7 million training *** model has been evaluated on 15 classes from the 20BN-jester dataset available *** model was trained on 2000 video-clips per class which were separated into 80%training and 20%validation *** accuracy of 99%and 97%was achieved on training and testing data,*** further show that the combination of 3D-CNN with LSTm gives superior results as compared to mobileNetv2+LSTm.

关键词： Convolutional neural networks 3D-CNN LSTm spatiotemporal jester real-time hand gesture recognition

Flexible and flame-retarding phosphorylated mXene/polypropylene composites for efficient electromagnetic interference shielding

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Journal of materials Science & Technology 2022年第16期111卷 66-75页

作者： Tingting Tang Shanchi Wang Yue Jiang Zhiguang Xu Yu Chen Tianshu Peng fawad khan Jiabing Feng Pingan Song Yan Zhao College of Textile and Clothing Engineering Soochow UniversitySuzhou 215123China China-Australia Institute for Advanced materials and manufacturing Jiaxing UniversityJiaxing 314001China AECC Beijing Institute of Aeronautical materials Beijing 100095China Centre for Future materials University of Southern QueenslandSpringfield CentralQLD 4300Australia

Flame-retardant composites with high electromagnetic interference(EmI)shielding performance are desirable for electronic device *** great potential of mXene for high EmI,it still remains a great challenge to develop high-performance flame-retardant polymer/mXene composites with excellent EmI shielding effectiveness because of the poor oxidative stability of ***,phosphorylated mXene/polypropylene(PP)composites are prepared by coating phosphorylated mXene on PP fabric followed by spraying polyethylenimine(PEI)and *** phosphorylated mXene proves to be more durable against oxidation than pure mXene due to the protection effect of *** hot-pressing,melted PP fibers are fused together at their contact points and thus as-prepared composites are bi-continuous with two interpenetrating *** composites show significantly improved thermal stability and flame retardancy relative to pure PP,with a low total heat release(THR)of 3.7 kJ/g and a heat release rate(HRR)of 50.0 W/g,which are reduced by 78%and 87%,*** addition,the composites exhibit a high electrical conductivity of~36,700 S/m and an EmI shielding performance of~90 d B over the whole frequency range of 8–12 GHz with a thickness of~400μ*** as-developed PP/mXene composites hold great promise for reliable protection of next-generation electronic devices working in complex environments.

关键词： mXene Flame retardancy Polypropylene composite EmI shielding

Deep Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Control Using 3D Hand Gestures

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Computers, materials & Continua 2022年第9期72卷 5741-5759页

作者： fawad Salam khan mohd Norzali Haji mohd Saiful Azrin B.m.Zulkifli Ghulam E mustafa Abro Suhail Kazi Dur muhammad Soomro Faculty of Electrical and Electronics(FKEE) Universiti Tun Hussein Onn MalaysiaParit Raja81756Malaysia Department of Electrical&Electronic Engineering Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Faculty of Engineering Science and Technology Isra UniversityHyderabad71000Pakistan Department of Innovation CONVSYS(Pvt)Ltd.44000IslamabadPakistan

The evident change in the design of the autopilot system produced massive help for the aviation industry and it required frequent *** learning delivers appropriate outcomes when considering a continuous environment where the controlling Unmanned Aerial Vehicle(UAV)required maximum *** this paper,we designed a hybrid framework,which is based on Reinforcement Learning and Deep Learning where the traditional electronic flight controller is replaced by using 3D hand *** algorithm is designed to take the input from 3D hand gestures and integrate with the Deep Deterministic Policy Gradient(DDPG)to receive the best reward and take actions according to 3D hand gestures *** UAV consist of a Jetson Nano embedded testbed,Global Positioning System(GPS)sensor module,and Intel depth *** collision avoidance system based on the polar mask segmentation technique detects the obstacles and decides the best path according to the designed reward *** analysis of the results has been observed providing best accuracy and computational time using novel design framework when compared with traditional Proportional Integral Derivatives(PID)flight *** are six reward functions estimated for 2500,5000,7500,and 10000 episodes of training,which have been normalized between 0 to−*** best observation has been captured on 2500 episodes where the rewards are calculated for maximum *** achieved training accuracy of polar mask segmentation for collision avoidance is 86.36%.

关键词： Deep reinforcement learning UAV 3D hand gestures obstacle detection polar mask