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Diffusing alpha-emitters Radiation Therapy ("Alpha DaRT") is a new treatment modality focusing on the use of alpha particles against solid tumors. The introduction of Alpha DaRT in clinical settings calls for the development of detailed…

Medical Physics · Physics 2025-11-04 Yevgeniya Korotinsky , Lior Arazi

Gliomas are brain tumors composed of different highly heterogeneous histological subregions. Image analysis techniques to identify relevant tumor substructures have high potential for improving patient diagnosis, treatment and prognosis.…

Image and Video Processing · Electrical Eng. & Systems 2022-07-18 José Gerardo Suárez-García Javier Miguel Hernández-López , Eduardo Moreno-Barbosa , Benito de Celis-Alonso

Reliably predicting the future spread of brain tumors using imaging data and on a subject-specific basis requires quantifying uncertainties in data, biophysical models of tumor growth, and spatial heterogeneity of tumor and host tissue.…

Computational Engineering, Finance, and Science · Computer Science 2022-09-27 Baoshan Liang , Jingye Tan , Luke Lozenski , David A. Hormuth , Thomas E. Yankeelov , Umberto Villa , Danial Faghihi

Glioblastoma is a rapidly evolving high-grade astrocytoma that is distinguished pathologically from lower grade gliomas by the presence of necrosis and microvascular hiperplasia. Necrotic areas are typically surrounded by hypercellular…

Quantitative Methods · Quantitative Biology 2012-04-18 Alicia Martínez-González , Gabriel F. Calvo , Luis A. Pérez Romasanta , Víctor M. Pérez-García

Recent technological advancements have enabled detailed investigation of associations between the molecular architecture and tumor heterogeneity, through multi-source integration of radiological imaging and genomic (radiogenomic) data. In…

Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, with patients having a poor prognosis. Lower grade gliomas are less aggressive, but they can evolve into higher grade tumors over time. Patient management and treatment…

Computer Vision and Pattern Recognition · Computer Science 2018-11-01 Sergio Pereira , Raphael Meier , Victor Alves , Mauricio Reyes , Carlos A. Silva

In this paper we analyse a differential system related to a Glioblastoma growth. Using numerical simulations, we prove that model captures different kind of growth changing adequately the parameters of the model. Firstly, we make an…

Analysis of PDEs · Mathematics 2021-09-21 A. Fernández-Romero , F. Guillén-González , A. Suárez

Paragangliomas are rare, primarily slow-growing tumors for which the underlying growth pattern is unknown. Therefore, determining the best care for a patient is hard. Currently, if no significant tumor growth is observed, treatment is often…

Neural and Evolutionary Computing · Computer Science 2024-04-10 E. M. C. Sijben , J. C. Jansen , P. A. N. Bosman , T. Alderliesten

Most human carcinomas exhibit telomere abnormalities early in the carcinogenesis process suggesting that crisis caused by telomere shortening may be a necessary event leading to human carcinomas. Epidemiological records of the age at which…

Tissues and Organs · Quantitative Biology 2007-05-23 Hermann B. Frieboes , James P. Brody

Tumor growth has a number of features in common with a physical process known as molecular beam epitaxy. Both growth processes are characterized by the constraint of growth development to the body border, and surface diffusion of…

Quantitative Methods · Quantitative Biology 2009-11-13 Carlos Escudero

Williams and Bjerknes proposed a simple stochastic growth model to describe the tumor growth in the basal layer of an epithelium. In this work we generalize this model by including the possibility of saturation in the tumor growth as it is…

Condensed Matter · Physics 2007-05-23 S. C. Ferreira Junior

In this paper we study a reduced continuous model describing the local evolution of high grade gliomas - a lethal type of primary brain tumor - through the interplay of different cellular phenotypes. We show how hypoxic events, even…

Quantitative Methods · Quantitative Biology 2014-05-05 Rosa Pardo , Alicia Martinez-Gonzalez , Victor M. Perez-Garcia

Detection of minimal residual disease (MRD) in cancer patients after surgery can provide an early marker for disease recurrence and guide subsequent treatment decisions. Accurate and sensitive estimation of tumour burden after cancer…

As cancer advances, cells often spread from the primary tumor to other parts of the body and form metastases. This is the main cause of cancer related mortality. Here we investigate a conceptually simple model of metastasis formation where…

Populations and Evolution · Quantitative Biology 2019-12-05 Stefano Avanzini , Tibor Antal

We propose a model for describing the growth on an untreated tumor, which is characterized in a simple way by a minimal number of parameters with a well-defined physical interpretation. The model is motivated by invoking the Master Equation…

Populations and Evolution · Quantitative Biology 2007-05-23 José F. Nieves , Marcelo R. Ubriaco

In this paper, we conduct a thorough mathematical analysis of a tumor growth model with treatments. The model is a system describing the evolution of metastatic tumors and the number of cells present in a primary tumor. The former evolution…

Analysis of PDEs · Mathematics 2022-05-25 Slah Eddin Ben Abdeljalil , Atef Ben Essid , Saloua Mani Aouadi

Glioblastoma is a highly invasive brain tumor, whose cells infiltrate surrounding normal brain tissue beyond the lesion outlines visible in the current medical scans. These infiltrative cells are treated mainly by radiotherapy. Existing…

Tumour heterogeneity is increasingly recognized as a major obstacle to therapeutic success across neuro-oncology. Gliomas are characterised by distinct combinations of genetic and epigenetic alterations, resulting in complex interactions…

Imaging demonstrates that preclinical and human tumors are heterogeneous, i.e. a single tumor can exhibit multiple regions that behave differently during both normal development and also in response to treatment. The large variations…

Computer Vision and Pattern Recognition · Computer Science 2022-09-08 P. D. Tar , N. A. Thacker , J. P. B. O'Connor

Purpose: To develop a novel deep-learning model that integrates radiomics analysis in a multi-dimensional feature fusion workflow for glioblastoma (GBM) post-resection survival prediction. Methods: A cohort of 235 GBM patients with complete…

Medical Physics · Physics 2022-03-14 Zongsheng Hu , Zhenyu Yang , Haozhao Zhang , Eugene Vaios , Kyle Lafata , Fang-Fang Yin , Chunhao Wang
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