Breast Cancer

Improved virtual non-contrast images in liver dual-energy CT with deep learning algorithm for image reconstruction.

BACKGROUND: We aimed to explore the use of deep learning image reconstruction (DLIR) to improve virtual non-contrast (VNC) images from enhanced dual-energy computed tomography (DECT). MATERIALS AND METHODS: A total of 91 patients undergoing treatment for liver lesions from September to December 2024 were analyzed. All patients underwent true non-contrast (TNC) and dual-phase enhanced DECT with med...

Parametric delineation of the clinical target volume for glioma: Model-based approach that tailors to physician contouring practices.

BACKGROUND AND PURPOSE: Delineating the clinical target volume (CTV) is an essential part of a radiation oncologist's practice. However, this process is subject to variability due to factors such as clinical experience, institutional standards, and contouring guidelines being followed. We propose a parameterized CTV delineation model for glioma tumors that can tailor to CTV delineation practices. ...

Identifying optimal dose head CT acquisition techniques through cluster analysis from 904,209 scans.

OBJECTIVES: To identify clinically established and frequently utilized routine head computed tomography (CT) acquisition techniques in children and ad...

Surface Topography and Machine Learning: Strides Towards Radiation-Free Scoliosis Assessment: A Systematic Review.

BACKGROUND: Assessment of idiopathic scoliosis (IS) relies on radiographs and measurement of coronal curve magnitude, but repeated radiation exposure ...

Targeting GLUTs in Cancer: Mechanisms, Combination Strategies, and Translational Challenges.

Cancer cells exhibit metabolic reprogramming, most notably the Warburg effect, which underscores their heightened dependency on glucose uptake facilit...

The role and mechanism of diosgenin glucoside in modulating megakaryopoiesis through promotion of autophagy via the AMPK/mTOR/ULK1 signaling pathway.

BACKGROUND: Radiation-induced thrombocytopenia (RIT) is a severe, dose-limiting complication of cancer radiotherapy with limited clinical management o...

Cone Beam Computed Tomography-based Lung Function Imaging using Deep Learning for Functional Image-Guided Adaptative Radiation Therapy.

PURPOSE: Recent studies indicate that lung function can change significantly during radiation therapy (RT) course. However, additional function imagin...

Research progress in traditional Chinese medicine for lymphoma: multi-pathway and multi-drug combination approaches.

OBJECTIVES: Lymphoma is a prevalent hematologic malignancy with complex pathogenesis involving dysregulated signaling pathways and high treatment resi...

Systematic prioritization of candidate genes in camptothecin biosynthesis using multi-omics and deep learning.

Camptothecin (CPT), a plant-derived monoterpene indole alkaloid first identified in Camptotheca acuminata, is a drug precursor widely used for cancer ...

Dual-view scout scans with deep learning for ultra-low dose attenuation correction in PET.

BACKGROUND: Accurate attenuation correction (AC) is essential for quantitative positron emission tomography (PET). Conventional CT-based AC provides r...

A coarse-to-fine framework combining deep learning and Monte Carlo for BNCT patient position optimization toward inverse planning.

BACKGROUND: Boron Neutron Capture Therapy (BNCT) utilizes high linear energy transfer (LET) charged particles from the 10B(n,α)7Li reaction to selecti...

Manual, digital, and AI tumour-infiltrating lymphocyte scoring: a secondary analysis of the APHINITY randomised trial.

BACKGROUND: Stromal tumour-infiltrating lymphocytes (sTILs) are prognostic in early-stage HER2-positive breast cancer, but their role in the context o...

Mechanistic and Clinical Perspectives on Traditional Chinese Medicine in Thyroid Cancer Management.

Thyroid cancer is one of the most prevalent malignancies of the endocrine system, comprising various subtypes such as papillary thyroid carcinoma (PTC...

Deep Learning Algorithm-Reconstructed Triple-Rule-Out CT: Image Quality and Performance in Evaluating Coronary Lumen Stenosis.

To assess radiation burden and contrast medium load, image quality, and the performance of AI-reader and junior radiologists in evaluating coronary st...

Multi-task Deep Learning via UNETR for PSMA PET/CT Image for Prostate Cancer: Simultaneous Assessment of Prostate Cancer Disease Burden, Treatment Selection and Survival Outcomes.

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) provides rich molecular imaging across the prostate ...

Multi-Omics-Driven Insights into Cancer Biology and Therapeutic Targeting.

The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward s...

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 monochrom...

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 mod...

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hy...

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...