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In radiation therapy, mathematical methods have been used for optimizing treatment planning for delivery of sufficient dose to the cancerous cells while keeping the dose to critical surrounding structures minimal. This optimization problem…

Medical Physics · Physics 2015-06-16 Hamed Yarmand , David Craft

Glioma is one of the most common and aggressive types of primary brain tumors. The accurate segmentation of subcortical brain structures is crucial to the study of gliomas in that it helps the monitoring of the progression of gliomas and…

Image and Video Processing · Electrical Eng. & Systems 2018-03-02 Lele Chen , Yue Wu , Adora M. DSouza , Anas Z. Abidin , Axel Wismuller , Chenliang Xu

Cancer poses danger because of its unregulated growth, development of resistant subclones, and metastatic spread to vital organs. Although the major transitions in cancer development are increasingly well understood, we lack quantitative…

Populations and Evolution · Quantitative Biology 2014-08-27 Andrei R. Akhmetzhanov , Michael E. Hochberg

Immunotherapy is an effective precision medicine treatment for several cancers. Imaging signatures of the underlying genome (radiogenomics) in glioblastoma patients may serve as preoperative biomarkers of the tumor-host immune apparatus.…

Tissues and Organs · Quantitative Biology 2024-05-14 Prajwal Ghimire , Ben Kinnersley , Golestan Karami , Prabhu Arumugam , Richard Houlston , Keyoumars Ashkan , Marc Modat , Thomas C Booth

Overall survival (OS) time is one of the most important evaluation indices for gliomas situations. Multimodal Magnetic Resonance Imaging (MRI) scans play an important role in the study of glioma prognosis OS time. Several deep…

Image and Video Processing · Electrical Eng. & Systems 2024-04-19 Wen Tang , Haoyue Zhang , Pengxin Yu , Han Kang , Rongguo Zhang

Melanoma is a type of skin cancer developed from melanocytes. It is one of the most lethal types of cancer, accounting for approximately 75% of skin cancer deaths. Late stage melanoma is very difficult to treat, since the cancer cells are…

Quantitative Methods · Quantitative Biology 2018-11-28 Xue Teng , Fuad Gwadry , Haley McConkey , Scott Ernst , Femida Gwadry-Sridhar

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…

Acute Myeloid Leukemia (AML) is one of the most aggressive types of hematological neoplasm. To support the specialists' decision about the appropriate therapy, patients with AML receive a prognostic of outcomes according to their…

Machine Learning · Computer Science 2024-05-30 Jade M. Almeida , Giovanna A. Castro , João A. Machado-Neto , Tiago A. Almeida

This research project investigates the critical role of oncostreams in glioma aggressiveness, leveraging advanced ex-vivo 3D explants and in-vivo intravital imaging techniques to establish a direct correlation between oncostream density and…

Tissues and Organs · Quantitative Biology 2024-07-17 Kai Poffenbarger , Rohan Pandey

Gliomas are lethal type of central nervous system tumors with a poor prognosis. Recently, with the advancements in the micro-array technologies thousands of gene expression related data of glioma patients are acquired, leading for salient…

Genomics · Quantitative Biology 2020-11-03 Navodini Wijethilake , Dulani Meedeniya , Charith Chitraranjan , Indika Perera

Acute Lymphoblastic Leukemia (ALL) accounts for the 80% of leukemias when coming down to pediatric ages. Survival of these patients has increased by a considerable amount in recent years. However, around 15-20% of treatments are…

The glutamate metabotropic receptor 1 (GRM1) drives oncogenesis when aberrantly activated in melanoma and several other cancers. Metabolomics reveals that patient-derived xenografts with GRM1-positive melanoma tumors exhibit elevated plasma…

Quantitative Methods · Quantitative Biology 2019-12-18 Simar Singh , Raj Shah , Suzie Chen , Fabian V. Filipp

A systematic understanding of the evolution and growth dynamics of invasive solid tumors in response to different chemotherapy strategies is crucial for the development of individually optimized oncotherapy. Here, we develop a hybrid…

Tissues and Organs · Quantitative Biology 2020-07-01 Hang Xie , Yang Jiao , Qihui Fan , Miaomiao Hai , Jiaen Yang , Zhijian Hu , Yue Yang , Jianwei Shuai , Guo Chen , Ruchuan Liu , Liyu Liu

The most common primary brain tumors are gliomas, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential. Volumetric assessment of tumor volume with manual…

Computer Vision and Pattern Recognition · Computer Science 2011-03-11 Jan Egger , Dženan Zukić , Miriam H. A. Bauer , Daniela Kuhnt , Barbara Carl , Bernd Freisleben , Andreas Kolb , Christopher Nimsky

Designing patient-specific follow-up strategy is a crucial step towards personalized medicine in cancer. Tools to help doctors deciding on treatment allocation together with next visit date, based on patient preferences and medical…

Optimization and Control · Mathematics 2024-01-09 Benoîte de Saporta , Aymar Thierry d'Argenlieu , Régis Sabbadin , Alice Cleynen

Progress in immunotherapy revolutionized the treatment landscape for advanced lung cancer, raising survival expectations beyond those that were historically anticipated with this disease. In the present study, we describe the methods for…

Applications · Statistics 2019-11-25 Lizet Sanchez , Patricia Lorenzo-Luaces , Claudia Fonte , Agustin Lage

Objective: Brain metastases (BMs) are common in cancer patients and determining the primary tumor site is crucial for effective treatment. This study aims to predict the primary tumor site from BM MRI data using radiomic features and…

Machine Learning · Computer Science 2024-07-09 Hamidreza Sadeghsalehi

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

Tumor shape plays a critical role in influencing both growth and metastasis. We introduce a novel topological radiomic feature derived from persistent homology to characterize tumor shape, focusing on its association with time-to-event…

Methodology · Statistics 2025-12-08 Yuhyeong Jang , Tu Dan , Eric Vu , Chul Moon