Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head

Autor: Geke Litjens, Joris P. E. A. Broekmans, Tim Boers, Marco Caballo, Maud H. F. van den Hurk, Dilek Ozdemir, Caroline J. van Schaik, Markus H. A. Janse, Erwin J. M. van Geenen, Cees J. H. M. van Laarhoven, Mathias Prokop, Peter H. N. de With, Fons van der Sommen, John J. Hermans

Publikováno v: Diagnostics, Vol 13, Iss 20, p 3198 (2023)

The preoperative prediction of resectability pancreatic ductal adenocarcinoma (PDAC) is challenging. This retrospective single-center study examined tumor and vessel radiomics to predict the resectability of PDAC in chemo-naïve patients. The tumor a

Externí odkaz: https://doaj.org/article/613dd6d9f9df4eaaad2aa88fc6f162ce

Four-Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic Contrast-Enhanced MRI

Autor: Marco Caballo, Wendelien B. G. Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann

Publikováno v: Journal of Magnetic Resonance Imaging, 57, 97-110
Journal of Magnetic Resonance Imaging, 57, 1, pp. 97-110
Journal of Magnetic Resonance Imaging, 57(1), 97-110. Wiley

Contains fulltext : 291130.pdf (Publisher’s version ) (Open Access) BACKGROUND: Breast cancer response to neoadjuvant chemotherapy (NAC) is typically evaluated through the assessment of tumor size reduction after a few cycles of NAC. In case of tre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93ba9a6a84bb2516faf2a01386044b50
http://hdl.handle.net/2066/291130

4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer

Autor: Marco Caballo, Wendelien Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann

Publikováno v: Medical Imaging 2022: Computer-Aided Diagnosis.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9497673f697dc0db712c9dcdef9495b8
https://doi.org/10.1117/12.2609312

Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast parenchyma

Autor: John M. Boone, David R. Dance, Eloy García, Christian Fedon, Marco Caballo, Ioannis Sechopoulos, Oliver Diaz

Publikováno v: Medical Physics, 48, 3, pp. 1436-1447
Medical physics, vol 48, iss 3
Medical Physics, 48, 1436-1447
Medical Physics

Contains fulltext : 232900.pdf (Publisher’s version ) (Open Access) PURPOSE: To develop a patient-based breast density model by characterizing the fibroglandular tissue distribution in patient breasts during compression for mammography and digital

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4f624137b6e41a87e8e608a2b2c8393

Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging

Autor: Su Hyun Lyu, Wendelien B.G. Sanderink, Ritse M. Mann, Filippo Molinari, Domenico R. Pangallo, Ioannis Sechopoulos, John M. Boone, Marco Caballo, Andrew M. Hernandez

Publikováno v: Medical Physics
Medical Physics, 48, 313-328
Medical physics, vol 48, iss 1
Medical Physics, 48, 1, pp. 313-328

Contains fulltext : 232918.pdf (Publisher’s version ) (Open Access) PURPOSE: To develop and evaluate the diagnostic performance of an algorithm for multi-marker radiomic-based classification of breast masses in dedicated breast computed tomography

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::612b34a692ca213469f748499d04c6ff
https://pubmed.ncbi.nlm.nih.gov/33232521