Results 131 to 140 of about 82,903 (262)

Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context

EBioMedicine, 2018
To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in ...
Yuming Jiang, Chuanli Chen, Jingjing Xie, Wei Wang, Xuefan Zha, Wenbing Lv, Hao Chen, Yanfeng Hu, Tuanjie Li, Jiang Yu, Zhiwei Zhou, Yikai Xu, Guoxin Li   +12 more
doaj  

Development and optimisation of a preclinical cone beam computed tomography-based radiomics workflow for radiation oncology research

Physics and Imaging in Radiation Oncology, 2023
Background and purpose: Radiomics features derived from medical images have the potential to act as imaging biomarkers to improve diagnosis and predict treatment response in oncology.
Kathryn H. Brown, Neree Payan, Sarah Osman, Mihaela Ghita, Gerard M. Walls, Ileana Silvestre Patallo, Giuseppe Schettino, Kevin M. Prise, Conor K. McGarry, Karl T. Butterworth   +9 more
doaj  

Preoperative Noninvasive Radiomics Approach Predicts Tumor Consistency in Patients With Acromegaly: Development and Multicenter Prospective Validation

Frontiers in Endocrinology, 2019
Background: Prediction of tumor consistency before surgery is of vital importance to determine individualized therapeutic schemes for patients with acromegaly.
Yanghua Fan, Min Hua, Anna Mou, Miaojing Wu, Xiaohai Liu, Xinjie Bao, Renzhi Wang, Ming Feng   +7 more
doaj   +1 more source

Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [18F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation [PDF]

, 2016
Floris H. P. van Velden, G. Krämer, Virginie Frings, Ida A. Nissen, Emma R. Mulder, Adrianus J. de Langen, Otto S. Hoekstra, Egbert F. Smit, Ronald Boellaard   +8 more
openalex   +1 more source

Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer [PDF]

, 2016
Xenia Fave, Lifei Zhang, Jinzhong Yang, Dennis Mackin, Peter Balter, Daniel de la Rosa Gómez, D Followill, A. Kyle Jones, Francesco C. Stingo, Laurence E. Court   +9 more
openalex   +1 more source

Radiomics [PDF]

, 2018
Radiomics is a process that aims to extract quantitative data through medical imaging, with the goal of integrating this data into clinical decision-making tools. These tools can contribute to more optimised/personalised medicine and a better prognosis for patients.
openaire   +1 more source

OS4.6 Large-scale radiomic profiling of recurrent glioblastoma identifies an imaging predictor for stratifying anti-angiogenic treatment response [PDF]

, 2016
Philipp Kickingereder, Michael Götz, Antje Wick, Ulf Neuberger, HP Schlemmer, Alexander Radbruch, Wolfgang Wick, Martin Bendszus, Klaus Maier‐Hein, David Bonekamp   +9 more
openalex   +1 more source

Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer

Journal of digital imaging, 2023
V. Le, Q. Kha, Tran Nguyen Thu Minh, V. H. Nguyen, Van Long Le, N. Le   +5 more
semanticscholar   +1 more source

Predicting Distant Failure in Lung Stereotactic Body Radiation Therapy Using Multiobjective Radiomics Model [PDF]

, 2016
Zhiheng Zhou, Michael R. Folkert, Puneeth Iyengar, Y. Zhang, Kenneth D. Westover, J. Wang   +5 more
openalex   +1 more source

Task adapted reconstruction for inverse problems

, 2018
The paper considers the problem of performing a task defined on a model parameter that is only observed indirectly through noisy data in an ill-posed inverse problem.
Adler, Jonas, Lunz, Sebastian, Schönlieb, Carola-Bibiane, Verdier, Olivier, Öktem, Ozan   +4 more
core