Kinga Bernatowicz
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View article: Histology-informed microstructural diffusion simulations for MRI cancer characterisation—the Histo-μSim framework
Histology-informed microstructural diffusion simulations for MRI cancer characterisation—the Histo-μSim framework Open
Diffusion Magnetic Resonance Imaging (dMRI) simulations in geometries mimicking the microscopic complexity of human tissues enable the development of innovative biomarkers with unprecedented fidelity to histology. Simulation-informed dMRI …
View article: Clinically feasible liver tumour cell size measurement through histology-informed in vivo diffusion MRI
Clinically feasible liver tumour cell size measurement through histology-informed in vivo diffusion MRI Open
Our biologically meaningful approach may complement standard-of-care radiology, and become a new tool for enhanced cancer characterisation in precision oncology.
View article: SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events
SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events Open
We propose a neural-network based survival model (SurvSurf) specifically designed for direct and simultaneous probabilistic prediction of the first hitting time of sequential events from baseline. Unlike existing models, SurvSurf is theore…
View article: Radiomics signature for dynamic monitoring of tumor inflamed microenvironment and immunotherapy response prediction
Radiomics signature for dynamic monitoring of tumor inflamed microenvironment and immunotherapy response prediction Open
Background The efficacy of immune checkpoint inhibitors (ICIs) depends on the tumor immune microenvironment (TIME), with a preference for a T cell-inflamed TIME. However, challenges in tissue-based assessments via biopsies have triggered t…
View article: SpinFlowSim: a blood flow simulation framework for histology-informed diffusion MRI microvasculature mapping in cancer
SpinFlowSim: a blood flow simulation framework for histology-informed diffusion MRI microvasculature mapping in cancer Open
Diffusion Magnetic Resonance Imaging (dMRI) sensitises the MRI signal to spin motion. This includes Brownian diffusion, but also flow across intricate networks of capillaries. This effect, the intra-voxel incoherent motion (IVIM), enables …
View article: Histology-informed microstructural diffusion simulations for MRI cancer characterisation — the Histo-μSim framework
Histology-informed microstructural diffusion simulations for MRI cancer characterisation — the Histo-μSim framework Open
Diffusion Magnetic Resonance Imaging (dMRI) simulations in geometries mimicking the complexity of human tissues at the microscopic scale enable the development of innovative biomarkers with unprecedented fidelity to histology. To date, app…
View article: Enhancing Tumor Microstructural Quantification With Machine Learning and Diffusion‐Relaxation <scp>MRI</scp>
Enhancing Tumor Microstructural Quantification With Machine Learning and Diffusion‐Relaxation <span>MRI</span> Open
Diffusion MRI (dMRI) enables tumor characterization, providing metrics of cellular properties that could become powerful biomarkers.1-3 However, the number and type of properties that can be resolved depends on the number of images encompa…
View article: Clinically feasible liver tumour cell size measurement through histology-informed<i>in vivo</i>diffusion MRI
Clinically feasible liver tumour cell size measurement through histology-informed<i>in vivo</i>diffusion MRI Open
Innovative diffusion Magnetic Resonance Imaging (dMRI) models enable the non-invasive measurement of cancer biological properties in vivo . However, while cancers frequently spread to the liver, models tailored for liver application and ea…
View article: Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer
Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer Open
Purpose To identify precise three-dimensional radiomics features in CT images that enable computation of stable and biologically meaningful habitats with machine learning for cancer heterogeneity assessment. Materials and Methods This retr…
View article: RNF43 mutations predict response to anti-BRAF/EGFR combinatory therapies in BRAFV600E metastatic colorectal cancer
RNF43 mutations predict response to anti-BRAF/EGFR combinatory therapies in BRAFV600E metastatic colorectal cancer Open
Anti-BRAF/EGFR therapy was recently approved for the treatment of metastatic BRAF V600E colorectal cancer (mCRC BRAF-V600E ). However, a large fraction of patients do not respond, underscoring the need to identify molecular determinants of…
View article: Radiomic Signatures Associated with CD8+ Tumour-Infiltrating Lymphocytes: A Systematic Review and Quality Assessment Study
Radiomic Signatures Associated with CD8+ Tumour-Infiltrating Lymphocytes: A Systematic Review and Quality Assessment Study Open
The tumour immune microenvironment influences the efficacy of immune checkpoint inhibitors. Within this microenvironment are CD8-expressing tumour-infiltrating lymphocytes (CD8+ TILs), which are an important mediator and marker of anti-tum…
View article: Machine learning techniques to estimate the degree of binder activity of reclaimed asphalt pavement
Machine learning techniques to estimate the degree of binder activity of reclaimed asphalt pavement Open
This paper describes the development of novel/state-of-art computational framework to accurately predict the degree of binder activity of a reclaimed asphalt pavement sample as a percentage of the indirect tensile strength (ITS) using a re…
View article: Diffusion MRI signal cumulants and hepatocyte microstructure at fixed diffusion time: Insights from simulations, 9.4T imaging, and histology
Diffusion MRI signal cumulants and hepatocyte microstructure at fixed diffusion time: Insights from simulations, 9.4T imaging, and histology Open
Purpose Relationships between diffusion‐weighted MRI signals and hepatocyte microstructure were investigated to inform liver diffusion MRI modeling, focusing on the following question: Can cell size and diffusivity be estimated at fixed di…
View article: Robust imaging habitat computation using voxel-wise radiomics features
Robust imaging habitat computation using voxel-wise radiomics features Open
Tumor heterogeneity has been postulated as a hallmark of treatment resistance and a cure constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be extended to computing voxel-wise features and aggregating …
View article: The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer
The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer Open
The application of advanced computational analysis to medical imaging opens a plethora of opportunities in the field of radiology, allowing for more accurate tissue characterization and, eventually, advancing towards precision medicine thr…
View article: Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis Open
Objective To identify CT-acquisition parameters accounting for radiomics variability and to develop a post-acquisition CT-image correction method to reduce variability and improve radiomics classification in both phantom and clinical appli…
View article: The impact of breathing guidance and prospective gating during thoracic 4DCT imaging: an XCAT study utilizing lung cancer patient motion
The impact of breathing guidance and prospective gating during thoracic 4DCT imaging: an XCAT study utilizing lung cancer patient motion Open
Two interventions to overcome the deleterious impact irregular breathing has on thoracic-abdominal 4D computed tomography (4DCT) are (1) facilitating regular breathing using audiovisual biofeedback (AVB), and (2) prospective respiratory ga…
View article: OC-0158: Impact of breathing guidance and prospective gating on 4DCT image quality: a digital phantom study
OC-0158: Impact of breathing guidance and prospective gating on 4DCT image quality: a digital phantom study Open
S73 ______________________________________________________________________________________________________centroid coordinates and the detected location was larger than 2.7mm in plane and 3mm in slice direction.Results: Table1 shows the av…