Brain Cancer

Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.

BACKGROUND: We explored the feasibility of reducing both radiation and contrast doses while improving image quality using low-energy virtual monochromatic images (VMIs) in dual-energy computed tomography (CT) pulmonary angiography (DECTPA) with deep learning image reconstruction at a high setting (DLIR-H). MATERIALS AND METHODS: A total of 60 patients scheduled for CTPA were randomly divided into ...

Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.

Locally advanced prostate cancer (PCa) is associated with a high recurrence rate even after curative treatment. We aimed to develop a precise risk model by integrating the status of intraductal carcinoma of the prostate (IDC-P) and the International Society of Urological Pathology Grade Group (ISUP GG) with deep learning (DL)-based grading to predict clinical recurrence after intensity-modulated r...

Brain Tumor Classification from MRI Using Colormap-Based Vision Transformers on the BRISC2025 Dataset.

Accurate brain tumor classification from magnetic resonance imaging (MRI) is essential for supporting early diagnosis and treatment planning. While Vi...

W-AGRU-Net: a dual-stream attention framework for robust brain tumor segmentation in clinical MRI imaging.

Segmenting brain tumors from MRI scans is a challenging aspect of medical image analysis because of anatomical complexity, ambiguous tumor boundaries,...

Quality and reliability of YouTube videos on PET/CT radiation safety: a comparative analysis between human experts and large language models.

PURPOSE: To evaluate the quality and accuracy of YouTube videos regarding PET/CT radiation safety and to assess the feasibility of using a Large Langu...

CT scan range planning in clinical practice: An international survey of scan range extension, quality assurance, and AI integration.

INTRODUCTION: Computed tomography (CT) scan range planning is a modifiable determinant of radiation exposure but remains highly variable in clinical p...

SeqQC-former: A sequence-quality fusion framework for QC-aware review prioritization of candidate somatic SNVs in cancer genomics.

The accurate prioritization of candidate somatic single-nucleotide variants (SNVs) remains a challenge due to the substantial variability in sequencin...

Association between body composition and recurrence in stage II-III colon cancer: a retrospective cohort study.

INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine management. Patients with advance...

Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool optimized for longitudinal treatment response assessm...

Noninvasive Profiling of the Glioma Vascular Microenvironment via 7T MRI: Decoding Angiogenic Signatures for Isocitrate Dehydrogenase and World Health Organization Grade Differentiation.

BACKGROUND: Accurate preoperative glioma grading and molecular subtyping are important for treatment. The vascular microenvironment promotes tumor pro...

[Multi-modal tumor boundary clustering recognition based on artificial intelligence virtual cells and near-infrared surgical field].

In order to accurately identify tumor boundaries and improve diagnostic efficiency, this study proposes a multi-modal tumor boundary identification me...

Precision Oncology via Radiotherapy-Triggered Drug Delivery: Mechanisms, Molecular Engineering, and Clinical Translation.

Radiotherapy-triggered drug delivery systems (RDDS) promise to integrate the spatial precision of ionizing radiation with controllable pharmacological...

A dual-discriminator conditional generative adversarial network (DDcGAN) approach to glioma grade classification with structural MRI images fusion.

Glioma grade is a critical parameter of clinical management. Recent advances in artificial intelligence (AI)-based image fusion have enabled effective...

Radiolabeled drug-delivery and controlled-release nanocarriers for arthritis: Clinical evidence, kinetic modeling, radiation-safety challenges, and precision nanotheranostics.

BACKGROUND: Arthritis comprises a heterogeneous group of inflammatory and degenerative joint disorders characterized by distinct pathological mechanis...

A Scalable High-Density Microwell Assay for Single-Cell Clonal Expansion Profiling.

Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells. However, the assay relies on subjective endpoint ...

Artificial neural network prediction of nonlinear radiative heat transfer and entropy generation in tangent hyperbolic tetra hybrid nanofluid flow over a porous wedge.

An artificial neural network (ANN)-based surrogate modelling approach for forecasting entropy production and heat transfer properties in a tetra-hybri...

Multiparametric MRI Habitat Imaging for Preoperative Assessment of Ki-67 Proliferation Index in Meningiomas: A Multicenter Study.

BACKGROUND: Preoperative assessment of meningioma proliferative activity relies on the postoperative Ki-67. Habitat imaging captures proliferative var...

Beyond robotics: a systematic review of technology integration in direct anterior approach total hip arthroplasty.

Technology-assisted implant positioning has emerged as a strategy to improve component placement accuracy in total hip arthroplasty (THA). However, th...

Microbiome-Driven Risk Stratification and Biotherapeutics in Radiation Enteritis.

Radiation enteritis (RE) is a severe, dose-limiting complication of cancer radiotherapy that affects the therapeutic outcomes of patients and their qu...

Organ-at-risk contouring education in the era of AI-assisted practice: Insights from an Australian undergraduate radiation therapy program.

INTRODUCTION: The integration of artificial intelligence (AI) tools into radiation therapy workflows offers significant opportunities to improve effic...