Radiomics Publications
2024
Enhancing Tumor Microstructural Quantification With Machine Learning and Diffusion-Relaxation MRI
C Macarro, K Bernatowicz, A Garcia-Ruiz, …, R Perez-Lopez*, F Grussu* (*joint senior and corresponding authors). Enhancing Tumor Microstructural Quantification With Machine Learning and Diffusion-Relaxation MRI. Journal of Magnetic Resonance Imaging (2024); doi: 10.1002/jmri.29484.
Identification of precise 3D CT Radiomics for habitat computation by machine learning in cancer
O Prior, C Macarro, V Navarro, C Monreal, M Ligero, A Garcia-Ruiz, G Serna, S Simonetti, I Braña, M Vieito, M Escobar, J Capdevila, A T Byrne, R Dienstmann, R Toledo, P Nuciforo, E Garralda, F Grussu, K Bernatowicz, R Perez-Lopez. Identification of precise 3D CT Radiomics for habitat computation by machine learning in cancer. Radiology: Artificial Intelligence volume 6, issue 2 (2024); doi: 10.1148/ryai.230118.
A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?
M Ligero, B Gielen, V Navarro, P Cresta Morgado, O Prior, R Dienstmann, P Nuciforo, S Trebeschi, R Beets-Tan, E Sala, E Garralda & R Perez-Lopez. A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?. npj Precision Oncology volume 8, Article number: 42 (2024); doi: 10.1038/s41698-024-00534-9.
A guide to artificial intelligence for cancer researchers
R Perez-Lopez, N G Laleh, F Mahmood & J N Kather. A guide to artificial intelligence for cancer researchers. Nature Reviews Cancer volume 24, pages 427–441 (2024); doi: 10.1038/s41568-024-00694-7.
Whole-body magnetic resonance imaging as a treatment response biomarker in castration resistant prostate cancer with bone metastases: iPROMET clinical trial
A Garcia-Ruiz, C Macarro, F Zacchi, …, J Mateo, R Perez-Lopez. Whole-body magnetic resonance imaging as a treatment response biomarker in castration resistant prostate cancer with bone metastases: iPROMET clinical trial. European Urology (2024); doi: 10.1016/j.eururo.2024.02.016.
An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI
A Garcia-Ruiz, A Pons-Escoda, F Grussu, P Naval-Baudin, C Monreal-Aguero, G Hermann, R Karunamuni, M Ligero, A Lopez-Rueda, L Oleaga, A Berbis, T Martin-Noguerol, A Luna-Alcalá, T M. Seibert, C Majos, R Perez-Lopez. An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI. Cell Reports Medicine (2024); doi: 10.1016/j.xcrm.2024.101464.
2023
PET-based radiomics signature can predict durable responses to CAR T-cell therapy in patients with large B-cell lymphoma
M Ligero, M Simó, C Carpio, G Iacoboni, M Balaguer-Montero, V Navarro, M A Sánchez-Salinas, S Bobillo, A Marín-Niebla, J Iraola-Truchuelo, P Abrisqueta, R Sala-Llonch, F Bosch, R Perez-Lopez, P Barba. PET-based radiomics signature can predict durable responses to CAR T-cell therapy in patients with large B-cell lymphoma. Electronic Journal of Haematology Volume4, Issue4, Pages 1081-1088 (2023); doi: 10.1002/jha2.757....
Facts and Hopes on the Use of Artificial Intelligence for Predictive Immunotherapy Biomarkers in Cancer
N G Laleh, M Ligero, R Perez-Lopez & J N Kather. Facts and Hopes on the Use of Artificial Intelligence for Predictive Immunotherapy Biomarkers in Cancer. Clin Cancer Res 29 (2): 316–323 (2023); doi: 10.1158/1078-0432.CCR-22-0390.
Advanced Diffusion-Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology
E Fokkinga, J A Hernandez-Tamames, A Ianus, M Nilsson, C M W Tax, R Perez-Lopez*, F Grussu* (* joint corresponding authors and joint senior/last authors). Advanced Diffusion-Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology. Journal of Magnetic Resonance Imaging (2023, e-pub ahead of print); doi: 10.1002/jmri.29144. Author accepted manuscript available here.
2022
Diffusion MRI signal cumulants and hepatocyte microstructure at fixed diffusion time: Insights from simulations, 9.4T imaging, and histology
F Grussu, K Bernatowicz, I Casanova-Salas, N Castro, P Nuciforo, J Mateo, I Barba, R Perez-Lopez. Diffusion MRI signal cumulants and hepatocyte microstructure at fixed diffusion time: Insights from simulations, 9.4T imaging, and histology. Magnetic Resonance in Medicine 88(1): 365-379 (2022); doi: 10.1002/mrm.29174.
Voxel-level analysis of normalized DSC-PWI time-intensity curves: a potential generalizable approach and its proof of concept in discriminating glioblastoma and metastasis
A Pons-Escoda, A Garcia-Ruiz, P Naval-Baudin, F Grussu, JJS Fernandez, AC Simo, NV Sarro, A Fernandez-Coello, J Bruna, M Cos, R Perez-Lopez, C Majos. Voxel-level analysis of normalized DSC-PWI time-intensity curves: a potential generalizable approach and its proof of concept in discriminating glioblastoma and metastasis. European Radiology 32, 6, 3705-3715 (2022); doi: 10.1007/s00330-021-08498-1.
2021
Robust imaging habitat computation using voxel-wise radiomics features
K Bernatowicz, F Grussu, M Ligero, et al., R Perez-Lopez. Robust imaging habitat computation using voxel-wise radiomics features. Scientific Reports 11, 20133(2021); doi:10.1038/s41598-021-99701-2.
The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer
M Ligero, K Bernatowicz, R Perez-Lopez. The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer. J Nephrol Sci. 2(2), 1-7 (2021); url:https://www.nephrojournal.com2.
A CT-based Radiomics Signature Is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors
M Ligero, A Garcia-Ruiz, C Viaplana, et al., R Perez-Lopez. A CT-based Radiomics Signature Is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors. Radiology. Vol 299, No 1 (2021); doi: 10.1148/radiol.2021200928
Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma.
A Garcia-Ruiz, P Naval-Baudin, M Ligero, et al., R Perez-Lopez. Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma. Scientific Reports. 11 - 695 (2021); doi: 10.1038/s41598-020-79829-3
2020
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
M Ligero, O Jordi-Ollero, K Bernatowicz,et al., R Perez-Lopez. Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis. European Radiology. 31, 1460–1470 (2020); doi: 10.1007/s00330-020-07174-0
Correlation of the tumour-stroma ratio with diffusion weighted MRI in rectal cancer
S M Zunder, R Perez-Lopez, …, A Garcia-Ruiz, et al. W E Mesker. Correlation of the tumour-stroma ratio with diffusion weighted MRI in rectal cancer. European Journal of Radiology 133, 109345-109345 (2020); doi: 10.1016/j.ejrad.2020.109345
Capturing Hyperprogressive disease with immune checkpoint inhibitors using RECIST 1.1 criteria
I Matos, …, A Garcia Ruiz, et al., Perez-Lopez R, Garralda, E. Capturing Hyperprogressive disease with immune checkpoint inhibitors using RECIST 1.1 criteria. Clinical Cancer Research 26, 8, 1846-1855 (2020); ISSN 1078-0432; doi: 10.1158/1078-0432.CCR-19-2226
