Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection

BMC Medical Imaging, Journal Year: 2024, Volume and Issue: 24(1)

Published: June 11, 2024

Abstract Background To investigate whether the intraoperative superb microvascular imaging(SMI) technique helps evaluate lesion boundaries compared with conventional grayscale ultrasound in brain tumor surgery and to explore factors that may be associated complete radiographic resection. Methods This study enrolled 57 consecutive patients undergoing surgery. During operation, B-mode SMI evaluated of tumors. MRI before within 48h after was used as gold standard gross-total resection(GTR). The findings GTR results were analyzed determine imaging related GTR. Results A total study, including 32 males 25 females, an average age 53.4 ± 14.1 years old(range 19 ~ 80). According assessment criteria MRI, 48 h 37(63.9%) cases classified GTR, 20(35.1%) In comparing interface definition between mode, improved HGG boundary recognition 5 cases( P = 0.033). showed size ≥ cm unclear ultrasonic independent risk for nGTR (OR>1, <0.05). Conclusions As innovative doppler neurosurgery, can effectively demarcate tumor’s help achieve much possible.

Language: Английский

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Enhancing Brain Tumor Detection Through Custom Convolutional Neural Networks and Interpretability-Driven Analysis

Information, Journal Year: 2024, Volume and Issue: 15(10), P. 653 - 653

Published: Oct. 18, 2024

Brain tumor detection is crucial for effective treatment planning and improved patient outcomes. However, existing methods often face challenges, such as limited interpretability class imbalance in medical-imaging data. This study presents a novel, custom Convolutional Neural Network (CNN) architecture, specifically designed to address these issues by incorporating techniques strategies mitigate imbalance. We trained evaluated four CNN models (proposed CNN, ResNetV2, DenseNet201, VGG16) using brain MRI dataset, with oversampling weighting employed during training. Our proposed achieved an accuracy of 94.51%, outperforming other regard precision, recall, F1-Score. Furthermore, was enhanced through gradient-based attribution saliency maps, providing valuable insights into the model’s decision-making process fostering collaboration between AI systems clinicians. approach contributes highly accurate interpretable framework detection, potential significantly enhance diagnostic personalized neuro-oncology.

Language: Английский

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From Traditional Methods to 3D U-Net: A Comprehensive Review of Brain Tumour Segmentation Techniques

Journal of Biomedical Science and Engineering, Journal Year: 2025, Volume and Issue: 18(01), P. 1 - 32

Published: Jan. 1, 2025

Language: Английский

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Exploring the import of mechatronics engineering in medicine: a review

Beni-Suef University Journal of Basic and Applied Sciences, Journal Year: 2025, Volume and Issue: 14(1)

Published: March 23, 2025

Abstract Background The interdisciplinary nature of mechatronics has spurred huge progress in medicine to facilitate the creation robotic surgery, wearable health monitoring, and bio-inspired robots. All these technologies enhance precision boost diagnostic capability, enable real-time patient monitoring. For example, robotic-assisted surgeries have recorded a 50% cut complications 40% reduction healing times, while technology enhanced early anomaly detection by 80%, saving emergency hospitalisation. Main body This review critically examines evolution applications focusing on problems including financial burdens, confidentiality data, compliance with regulation. Emphasis is placed heavily regulatory approval processes required organisations such as US Food Drug Administration (FDA) International Organisation for Standardisation (ISO) that typically delay use life-saving equipment 3–5 years. In addition, expensive price surgery systems (~$2 million per unit) extensive training (20–40 procedures be proficient) are inhibiting factors. New trends robots nanomedicine also considered here, which exhibited fantastic potential minimally invasive therapy, nanorobot-based cancer therapies tumour growth inhibition limiting systemic side effects. Conclusions To propel ethical sustainable adoption healthcare, this proposed development partnerships among engineers, clinicians, policymakers, simplifies clearance processes, designs low-cost, scalable products. Through avenues, can proceed revolutionise enhancing outcomes expanding accessibility cutting-edge medical technology.

Language: Английский

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Comparing the diagnostic performance of DSC-MRI and FAPI PET in differentiating tumor progression from treatment-related changes in IDH-Wildtype Glioblastoma: A pilot study

European Journal of Radiology, Journal Year: 2025, Volume and Issue: unknown, P. 112075 - 112075

Published: March 1, 2025

Language: Английский

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Neuronavigation: Neuroimaging Applied to Neuromodulation and Neurosurgery

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Neuronavigation has revolutionised neurosurgery by enabling precise targeting of brain structures through the integration real-time surgical navigation and advanced neuroimaging (CT, magnetic resonance imaging (MRI), fMRI). Recent advances in infrared electromagnetic technology have improved preoperative assessment, planning intraoperative guidance for procedures such as biopsies, tumour resections deep stimulation (DBS). This chapter focuses on structural functional modalities their applications execution. It also examines how neuronavigation contributes to neuromodulation techniques (DBS, transcranial (TMS)), resection epilepsy surgery. Emerging technologies resting-state fMRI portable systems operating theatre (POSITs) are discussed. The concludes with an outlook future developments, including artificial intelligence, machine learning augmented/virtual reality further improve accuracy efficiency neurosurgical practice. continued remains critical optimising outcomes.

Language: Английский

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Differentiation Between High‐Grade Glioma and Brain Metastasis Using Cerebral Perfusion‐Related Parameters (Cerebral Blood Volume and Cerebral Blood Flow): A Systematic Review and Meta‐Analysis of Perfusion‐weighted MRI Techniques

Journal of Magnetic Resonance Imaging, Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Background Distinguishing high‐grade gliomas (HGGs) from brain metastases (BMs) using perfusion‐weighted imaging (PWI) remains challenging. PWI offers quantitative measurements of cerebral blood flow (CBF) and volume (CBV), but optimal parameters for differentiation are unclear. Purpose To compare CBF CBV derived PWIs in HGGs BMs, to identify the most effective techniques differentiation. Study Type Systematic review meta‐analysis. Population Twenty‐four studies compared between ( n = 704) BMs 488). Field Strength/Sequence Arterial spin labeling (ASL), dynamic susceptibility contrast (DSC), contrast‐enhanced (DCE), (DSCE) sequences at 1.5 T 3.0 T. Assessment Following PRISMA guidelines, four major databases were searched 2000 2024 evaluating or BMs. Statistical Tests Standardized mean difference (SMD) with 95% CIs was used. Risk bias (ROB) publication assessed, I 2 statistic used assess statistical heterogeneity. A P ‐value<0.05 considered significant. Results showed a significant modest increase (SMD 0.37, CI: 0.05–0.69) 0.26, 0.01–0.51) Subgroup analysis based on region, sequence, ROB, field strength (HGGs: 375 BMs: 222) 493 378) values conducted. ASL considerable moderate (50% overlapping CI) However, no found DSC 0.08). Data Conclusion ASL‐derived may be more useful than DSC‐derived differentiating This suggests that as an alternative when medium is contraindicated intravenous injection not feasible. Level Evidence 1. Technical Efficacy Stage 2.

Language: Английский

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Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falcon Finch optimization

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 13, 2024

Brain tumor diagnosis is an important task in prognosing and treatment planning of the patients with brain cancer. meantime, using Magnetic Resonance Imaging (MRI) as a commonly used non-invasive imaging technique provide experts helpful view for detecting tumors. While deep learning methods have shown significant success analyzing medical images, they often require careful design architecture tuning hyperparameters to achieve optimal results. This study presents new approach diagnosing tumors MRI scans learning, focusing on Residual/Shuffle Networks. The designed network structures offer efficient results when compared traditional models. To enhance proposed classification, modified metaheuristic algorithm named Augmented Falcon Finch Optimization (AFFO) introduced. AFFO utilizes bio-inspired principles effectively search best hyperparameter configurations, thereby enhancing reliability accuracy model. performance method evaluated standard dataset existing techniques, including ResNet, AlexNet, VGG-16, Inception V3, U-Net illustrate effectiveness combining Networks diagnosis.

Language: Английский

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Clinicopathological Parameters and Immunohistochemical Profiles in Correlation with MRI Characteristics in Glioblastomas

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(23), P. 13043 - 13043

Published: Dec. 4, 2024

Glioblastoma is considered the most aggressive tumor of central nervous system. The microenvironment includes several components, such as endothelial cells, immune and extracellular matrix components like metalloproteinase-9 (MMP-9), which facilitates proliferation cells with pro-angiogenic roles. MRI characteristics glioblastomas can contribute to determining prognosis. aim this study was analyze relationship between angiogenesis in association MMP-9 immunoexpression. results were correlated Ki-67 index, p53 immunoexpression, mutational status IDH1 ATRX, well imaging data. This retrospective included forty-four patients diagnosed glioblastoma at Department Pathology, Târgu Mureș County Emergency Clinical Hospital. immunoexpression observed approximately half cases, more frequently over 65 years old. Comparing data immunohistochemical results, we that median volume higher mutations, ATRX wild-type status, negative expression, high indexes. values MVD-CD34 MVD-CD105 cases extensive peritumoral edema contralateral hemisphere. Additionally, mutations associated a pronounced deviation structures. To statistically validate associations histopathological features glioblastomas, further studies larger cohorts are required.

Language: Английский

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Assessing glioma grading with self-attention: comparative analysis of the diagnostic potential of different MRI sequences

International Journal of Systems Assurance Engineering and Management, Journal Year: 2024, Volume and Issue: unknown

Published: June 26, 2024

Language: Английский

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