Publications by authors named "Gabrielle Baxter"
Background: To study the reproducibility of Na magnetic resonance imaging (MRI) measurements from breast tissue in healthy volunteers.
Methods: Using a dual-tuned bilateral Na/H breast coil at 3-T MRI, high-resolution Na MRI three-dimensional cones sequences were used to quantify total sodium concentration (TSC) and fluid-attenuated sodium concentration (FASC). B-corrected TSC and FASC maps were created.
Article Synopsis
- This study investigates the link between hypoxia and vascular function in estrogen receptor-positive breast cancer using advanced imaging techniques and immunohistochemical markers.
- The research involved treatment-naive women who underwent [F]-FMISO-PET/MRI, measuring variables like vessel diameter and microvessel density to assess hypoxia.
- Results showed a negative correlation between hypoxia and vascular metrics, indicating that lower blood vessel density and smaller vessel sizes are linked to increased hypoxia in breast tumors.
Background: Magnetic resonance imaging (MRI) can be used to diagnose breast cancer. Diffusion weighted imaging (DWI) and the apparent diffusion coefficient (ADC) can reflect tumor microstructure in a non-invasive manner. The correct prediction of response of neoadjuvant chemotherapy (NAC) is crucial for clinical routine.
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- Breast cancer is a major health issue, and researchers are exploring the use of non-invasive sodium MRI to improve diagnosis and treatment monitoring in preclinical models.* -
- In studies with mice that had breast tumors, sodium MRI showed higher sodium levels in tumor areas compared to normal tissues, linking these levels to increased cell density.* -
- The combination of sodium MRI and diffusion-weighted imaging provided better classification of tumor regions, suggesting that sodium MRI could serve as a more sensitive and non-invasive biomarker for tracking treatment response.*
Background Advances in computer processing and improvements in data availability have led to the development of machine learning (ML) techniques for mammographic imaging. Purpose To evaluate the reported performance of stand-alone ML applications for screening mammography workflow. Materials and Methods Ovid Embase, Ovid Medline, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science literature databases were searched for relevant studies published from January 2012 to September 2020.
View Article and Find Full Text PDFHyperpolarized C-MRI is an emerging tool for probing tissue metabolism by measuring C-label exchange between intravenously injected hyperpolarized [1-C]pyruvate and endogenous tissue lactate. Here, we demonstrate that hyperpolarized C-MRI can be used to detect early response to neoadjuvant therapy in breast cancer. Seven patients underwent multiparametric H-MRI and hyperpolarized C-MRI before and 7-11 days after commencing treatment.
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- Retrospective studies indicate that AI algorithms can match or even enhance the accuracy of radiologists in breast screening, helping with tasks like patient triage and predicting treatment outcomes.
- With increasing demands for breast imaging and a shortage of qualified professionals, AI is being considered to improve workflow efficiency and patient care.
- The integration of AI into breast imaging faces significant challenges, including data availability and ethical concerns, necessitating guidance from national agencies that consider various stakeholder perspectives.
Objective: To compare diffusion-weighted images (DWI) acquired using single-shot echo-planar imaging (ss-EPI) and multiplexed sensitivity encoding (MUSE) in breast cancer.
Methods: 20 females with pathologically confirmed breast cancer (age 51 ± 12 years) were imaged with ss-EPI-DWI and MUSE-DWI. ADC, normalised ADC (nADC), blur and distortion metrics and qualitative image quality scores were compared.
Objectives: Hypoxia is associated with poor prognosis and treatment resistance in breast cancer. However, the temporally variant nature of hypoxia can complicate interpretation of imaging findings. We explored the relationship between hypoxia and vascular function in breast tumours through combined F-fluoromisonidazole ( F-FMISO) PET/MRI, with simultaneous assessment circumventing the effect of temporal variation in hypoxia and perfusion.
View Article and Find Full Text PDFIntroduction: A systematic review and meta-analysis were performed to determine the diagnostic performance of dynamic contrast-enhanced computed tomography (DCE-CT) for the differentiation between malignant and benign pulmonary nodules.
Methods: Ovid MEDLINE and EMBASE were searched for studies published up to October 2018 on the diagnostic accuracy of DCE-CT for the characterisation of pulmonary nodules. For the index test, studies with a minimum of a pre- and post-contrast computed tomography scan were evaluated.
Article Synopsis
- Various techniques, including diffusion-weighted imaging (DWI), diffusion-tensor imaging (DTI), and intravoxel incoherent motion (IVIM), are used to evaluate breast lesions, but their overall diagnostic effectiveness needed better assessment.
- A meta-analysis of 73 studies involving 6791 breast lesions revealed that the prime diffusion coefficient (λ) from DTI had the best performance with a sensitivity of 93% and specificity of 90%, while DWI's apparent diffusion coefficient (ADC) also showed high effectiveness with sensitivity at 89%.
- The study concluded that while all three imaging techniques can aid in differentiating between malignant and benign breast lesions, the choice of MRI parameters did not significantly influence diagnostic performance.