An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation
Int J Neural Syst. 2024 Apr 30:2450036. doi: 10.1142/S0129065724500369. Online ahead of print.ABSTRACTMagnetic Resonance Imaging (MRI) is an important diagnostic technique for brain tumors due to its ability to generate images without tissue damage or skull artifacts. Therefore, MRI images are widely used to achieve the segmentation of brain tumors. This paper is the first attempt to discuss the use of optimization spiking neural P systems to improve the threshold segmentation of brain tumor images. To be specific, a threshold segmentation approach based on optimization numerical spiking neural P systems with adaptive mult...
Source: International Journal of Neural Systems - April 30, 2024 Category: Neurology Authors: Jianping Dong Gexiang Zhang Yangheng Hu Yijin Wu Haina Rong Source Type: research
Hyperpolarized Carbon-13 Magnetic Resonance Imaging: Technical Considerations and Clinical Applications
This article discusses the clinical applications of HP 13C-MRI across various anatomical domains, including the brain, heart, skeletal muscle, breast, liver, kidney, pancreas, and prostate. Each section highlights the specific applications and findings pertinent to these regions, emphasizing the potential versatility of HP 13C-MRI in diverse clinical contexts. This review serves as a comprehensive update, bridging technical aspects with clinical applications and offering insights into the ongoing advancements in HP 13C-MRI.PMID:38685736 | DOI:10.3348/kjr.2024.0069 (Source: Korean Journal of Radiology)
Source: Korean Journal of Radiology - April 30, 2024 Category: Radiology Authors: Ying-Chieh Lai Ching-Yi Hsieh Yu-Hsiang Juan Kuan-Ying Lu Hsien-Ju Lee Shu-Hang Ng Yung-Liang Wan Gigin Lin Source Type: research
Intraoperative radiofrequency ablation for unresectable abdominal paraganglioma: a case report
We presented the case of a 31-year-old man who had a 9-cm functioning unresectable PPGL. He was treated with 13 cycles of cytotoxic chemotherapy without objective tumor response, according to the Response Evaluation Criteria in Solid Tumors (RECIST). Subsequently, magnetic resonance imaging revealed a 9.0 × 8.6 × 6.0-cm retroperitoneal mass that extended to the inferior portion of the inferior vena cava, the inferior mesenteric artery, and the infrarenal aorta. Biochemical evaluation demonstrated high level of plasma normetanephrine (20.2 nmol/L, normal range <0.9 nmol/L). Genetic investigation showed the germline pat...
Source: Cancer Control - April 30, 2024 Category: Cancer & Oncology Authors: Isabelle P A Magalhaes Bibiana D Boger Nathalia L Gomes Guilherme L P Martins Leomarques A Bomfim Gustavo F C Fagundes Roberta S Rocha Fernando M A Coelho Jose L Chambo Ana Claudia Latronico Maria Candida B V Fragoso Ana O Hoff Berenice B Mendonca Marcos Source Type: research
Characterization and antitumor effect of doxorubicin-loaded Fe < sub > 3 < /sub > O < sub > 4 < /sub > -Au nanocomposite synthesized by electron beam evaporation for magnetic nanotheranostics
RSC Adv. 2024 Apr 29;14(20):14126-14138. doi: 10.1039/d4ra01777c. eCollection 2024 Apr 25.ABSTRACTMagnetic nanocomposites (MNC) are promising theranostic platforms with tunable physicochemical properties allowing for remote drug delivery and multimodal imaging. Here, we developed doxorubicin-loaded Fe3O4-Au MNC (DOX-MNC) using electron beam physical vapor deposition (EB-PVD) in combination with magneto-mechanochemical synthesis to assess their antitumor effect on Walker-256 carcinosarcoma under the influence of a constant magnetic (CMF) and electromagnetic field (EMF) by comparing tumor growth kinetics, magnetic resonance ...
Source: Cancer Control - April 30, 2024 Category: Cancer & Oncology Authors: Valerii B Orel Yurii A Kurapov Stanislav Ye Lytvyn Valerii E Orel Olexander Yu Galkin Olga Yo Dasyukevich Oleksandr Yu Rykhalskyi Anatolii G Diedkov Vasyl V Ostafiichuk Sergii A Lyalkin Anatoliy P Burlaka Sergii V Virko Mykola A Skoryk Viacheslav V Zagoro Source Type: research
Development and validation of a nomogram to predict leptomeningeal metastases in lung adenocarcinoma: Cervical lymph node metastasis is an important association factor
ConclusionsWe created a user-friendly nomogram to predict LMs in advanced lung cancer patients, which could help guide treatment decisions and reduce unnecessary lumbar punctures. (Source: Cancer Medicine)
Source: Cancer Medicine - April 30, 2024 Category: Cancer & Oncology Authors: Xiaoyu Hua,
Weifeng Feng,
Minting Ye,
Mingyao Lai,
Xiaojun Yu,
Mengnan Sun,
Juan Li,
Ruyu Ai,
Yanlin He,
Linbo Cai,
Changzheng Shi,
Xiangning Liu Tags: RESEARCH ARTICLE Source Type: research
Conservative management of spontaneous spinal epidural hematoma: A case report with favorable prognosis
Key Clinical MessageSudden spinal epidural hematoma (SSEH) is relatively rare. Sudden pain from the neck to the back and subsequent extremity paralysis necessitate immediate head and cervical magnetic resonance imaging or computed tomography, keeping SSEH in mind. Although surgery is recommended for progressive paralysis, conservative treatment is indicated for mildly symptomatic cases. (Source: Clinical Case Reports)
Source: Clinical Case Reports - April 30, 2024 Category: General Medicine Authors: Satoshi Nakao,
Hirohito Hirata,
Tomohito Yoshihara,
Takaomi Kobayashi,
Masatsugu Tsukamoto,
Yoshiaki Egashira,
Masaaki Mawatari,
Tadatsugu Morimoto Tags: CASE REPORT Source Type: research
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current methodologies reliant on traditional image processing and... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 30, 2024 Category: Information Technology Authors: A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran and Suresh Guluwadi Tags: Research Source Type: research
Enhancing Nasopharyngeal Carcinoma Survival Prediction: Integrating Pre- and Post-Treatment MRI Radiomics with Clinical Data
This study aimed to develop a prediction model for NPC survival by harnessing both pre- and post-treatment magnetic resonance imaging (MRI) radiomics in conjunction with clinical data, focusing on 3-year progression-free survival (PFS) as the primary outcome. Our comprehensive approach involved retrospective clinical and MRI data collection of 276 eligible NPC patients from three independent hospitals (180 in the training cohort, 46 in the validation cohort, and 50 in the external cohort) who underwent MRI scans twice, once within 2 months prior to treatment and once within 10 months after treatment. From the contrast-e...
Source: Journal of Digital Imaging - April 30, 2024 Category: Radiology Source Type: research
Characterization of Fat Used for the Optimization of the Soft Tissue Envelope of the Nose in Rhinoplasty
We report 21 patients who underwent SRP on a voluntary basis. All patients had either thin skin and/or revision SRP with scarring. Macroscopic fat harvested from the periumbilical or rib region was minced and purified. PRF was obtained by centrifugation of autologous whole blood samples and mixed with the fat to form a graft, which was then transferred to the nasal dorsum. Postoperative monitoring of graft survival included sonography and magnetic resonance imaging (MRI) of the nose. The harvested adipose tissue was also analyzed in vitro. In the postoperative follow-up after 1 year, survival of the adipose tissue was demo...
Source: Facial Plastic Surgery - April 30, 2024 Category: Cosmetic Surgery Authors: Storck, Katharina Ussar, Siegfried Kotz, Sebastian Altun, Irem Hu, Fiona Birk, Amelie Veit, Johannes Kovacevic, Milos Tags: Original Research Source Type: research
Assessment of the deep learning-based gamma passing rate prediction system for 1.5 T magnetic resonance-guided linear accelerator
This study collected 125 verification plans [reference plan (RP), 100; adapted plan (AP), 25] from patients with prostate cancer treated using Elekta Unity. Based on our previous study, we employed a convolutional neural network that predicted the GPRs of nine pairs of gamma criteria from 1%/1 mm to 3%/3 mm. First, we trained and tested the DL model using RPs (n = 75 andn = 25 for training and testing, respectively) for its optimization. Second, we tested the GPR prediction accuracy using APs to determine whether the DL model could be applied to APs. The mean absolute error (MAE) and correlation coefficient (r) of t...
Source: Radiological Physics and Technology - April 30, 2024 Category: Physics Source Type: research
60. Meta-Analysis of Functional Magnetic Resonance Imaging Studies Reveals Abnormal Patterns of Neural Activation in Panic Disorder and Agoraphobia
Panic disorder (PD) and agoraphobia (AG) are prevalent and comorbid anxiety disorders. Studies using functional magnetic resonance imaging (fMRI) have identified different patterns of activation in PD/AG patients and healthy controls. However, these studies have often lacked sufficient statistical power and reported inconsistent results. This meta-analysis seeks to advance our understanding of the neural basis of PD and AG by identifying patterns of neural activation across task-based fMRI activation studies of individuals with PD/AG compared to healthy controls. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Caitlin Baten, Amanda M. Klassen, Gladys Zamora, Jonah H. Shepherd, Adam Badawia, Adesh Kailay, Christopher Leung, Aruthra Ranjithprabhu, Jaspreet Sahota, Sarah Saravia, Jennifer A. Miller, Ellen Woo, Ian H. Gotlib, Paul Hamilton, Matthew D. Sacchet, Daws Source Type: research
64. Common and Distinct Patterns of Neural Activation Between Major Depressive Disorder and Generalized Anxiety Disorder: A Comparison of Meta-Analytic Findings From Functional Magnetic Resonance Imaging Studies
Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent and comorbid mental disorders with many shared genotypic and phenotypic features as well as partially overlapping patterns of neural activation. The present meta-analysis seeks to identify statistically robust common and distinct patterns of neural activation in MDD and GDD reported in the primary literature. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Saneh K. Kahlon, Courtney Lindlahr, Amanda M. Klassen, Caitlin Baten, Zulaikha Ali, Jonah H. Shepherd, Gladys Zamora, Sarah Saravia, Elizabeth Pritchard, Jillian Jordan, Grace Maly, Marisol Duran, Shay L. Santos, Ellen Woo, Akua F. Nimarko, Dawson H. Hedg Source Type: research
Investigating Brain State Engagement Variability in Individuals With Opioid Use Disorder Using Naturalistic and Task-Based fMRI Data
Opioid use disorder (OUD) is a chronic condition impacting millions of people globally, presenting an urgent need to elucidate its neural mechanisms to guide intervention. Extant OUD functional magnetic resonance imaging (fMRI) studies adopt a static framework. Thus, whether individuals with OUD express aberrant fluctuations in brain activations or interactions over time remains elusive. Here, we investigated this question using naturalistic and task-based fMRI data. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Jean Ye, Saloni Mehta, Hannah Peterson, Ahmad Ibrahim, Gul Saeed, Sarah Linsky, Iouri Kreinin, Sui Tsang, Uzoji Nwanaji-Enwerem, Anthony Raso, Sarah Yip, Fuyuze Tokoglu, Jagriti Arora, R. Todd Constable, Declan Barry, Nancy S. Redeker, Henry Yaggi, Dustin Source Type: research
Neurogenesis-Independent Mechanisms of MRI-Detectable Hippocampal Volume Increase Following Electroconvulsive Stimulation
In vivo human magnetic resonance imaging (MRI) studies have consistently reported ECT-induced transient hippocampal volume increases, and an animal model of ECT (electroconvulsive stimulation: ECS) increases neurogenesis. However, a causal relationship between increased neurogenesis and MRI-detectable hippocampal volume increases has not been verified. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Akihiro Takamiya, Yoshifumi Abe, Kenji Tanaka Source Type: research
51. Artifact Mitigation in Pediatric fMRI: Enhancing Data Quality Through Multi-Echo Data Acquisition and Preprocessing
Functional magnetic resonance imaging (fMRI) has emerged as an important tool for understanding brain development and the neural bases of psychiatric disorders. However, head motion and signal dropout are common challenges, particularly neuroimaging in children and adolescents. Here, we describe a multi-echo fMRI data acquisition and preprocessing pipeline for more robust artifact reduction and quality assurance in pediatric fMRI data. We examine the effects of this pipeline on head motion and signal dropout, as compared to the raw data (prior to preprocessing). (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Reem Tamimi, Clara Zundel, Samantha Ely, MacKenna Shampine, Emilie-Clare O'Mara, Leah Gowatch, Amanpreet Bhogal, Carmen Carpenter, Eric Woodcock, Hilary Marusak Source Type: research
