Assessment of variabilities in lung-contouring methods on CBCT preclinical radiomics outputs

KH Brown, J Illyuk, M Ghita, GM Walls, CK McGarry… - Cancers, 2023 - mdpi.com
Simple Summary This study is the first to evaluate the impact of contouring differences on
radiomics analysis in preclinical CBCT scans. We found that the variation in quantitative …

Robustness of [18F] FDG PET/CT radiomic analysis in the setting of drug-induced cardiotoxicity

D Palomino-Fernández, AP Seiffert… - Computer Methods and …, 2024 - Elsevier
Background and objectives Standardization of radiomic data acquisition protocols is still at a
very early stage, revealing a strong need to work towards the definition of uniform image …

Predicting adverse radiation effects in brain tumors after stereotactic radiotherapy with deep learning and handcrafted radiomics

SA Keek, M Beuque, S Primakov, HC Woodruff… - Frontiers in …, 2022 - frontiersin.org
Introduction There is a cumulative risk of 20–40% of developing brain metastases (BM) in
solid cancers. Stereotactic radiotherapy (SRT) enables the application of high focal doses of …

Radiomics-based fertility-sparing treatment in endometrial carcinoma: a review

Y Wang, Z Chen, C Liu, R Chu, X Li, M Li, D Yu… - Insights into …, 2023 - Springer
In recent years, with the increasing incidence of endometrial carcinoma in women of child-
bearing age, to decision of whether to preserve patients' fertility during treatment has …

MRI as a biomarker for breast cancer diagnosis and prognosis

F Galati, V Rizzo, RM Trimboli, E Kripa… - BJR| Open, 2022 - academic.oup.com
Breast cancer (BC) is the most frequently diagnosed female invasive cancer in Western
countries and the leading cause of cancer-related death worldwide. Nowadays, tumor …

Magnetic resonance imaging‐based radiomics model for predicting radiation‐induced temporal lobe injury in nasopharyngeal carcinoma after intensity‐modulated …

D Bao, Y Zhao, Z Liu, H Xu, Y Zhang, M Yuan… - Head & …, 2022 - Wiley Online Library
Background To develop a model based on magnetic resonance imaging (MRI) radiomics
and clinical features for predicting radiation‐induced temporal lobe injury (RTLI) in patients …

More than Five Decades of Proton Therapy: A Bibliometric Overview of the Scientific Literature

MG Vincini, M Zaffaroni, M Schwarz, G Marvaso… - Cancers, 2023 - mdpi.com
Simple Summary The therapeutic potential of proton therapy (PT) was first recognized in
1946 by Robert Wilson, and nowadays, over 100 proton centers are in operation worldwide …

Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism

N Mansour, A Mittermeier, R Walter… - Frontiers in …, 2023 - frontiersin.org
Objectives The aim of this study was to investigate an integrated diagnostics approach for
prediction of the source of aldosterone overproduction in primary hyperaldosteronism (PA) …

Radiomics software comparison using digital phantom and patient data: IBSI-compliance does not guarantee concordance of feature values

Z Paquier, SL Chao, A Acquisto, C Fenton… - Biomedical Physics …, 2022 - iopscience.iop.org
Introduction. Radiomics is a promising imaging-based tool which could enhance clinical
observation and identify representative features. To avoid different interpretations, the Image …

Tumor and peritumor radiomics analysis based on contrast-enhanced CT for predicting early and late recurrence of hepatocellular carcinoma after liver resection

N Li, X Wan, H Zhang, Z Zhang, Y Guo, D Hong - BMC cancer, 2022 - Springer
Abstract Background In China, liver resection has been proven to be one of the most
important strategies for hepatocellular carcinoma patients, but the recurrence rate is high …