A systematic review of PET textural analysis and radiomics in cancer

M Piñeiro-Fiel, A Moscoso, V Pubul, Á Ruibal… - Diagnostics, 2021 - mdpi.com
Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …

Prospective clinical research of radiomics and deep learning in oncology: A translational review

X Zhang, Y Zhang, G Zhang, X Qiu, W Tan, X Yin… - Critical Reviews in …, 2022 - Elsevier
Radiomics and deep learning (DL) hold transformative promise and substantial and
significant advances in oncology; however, most methods have been tested in retrospective …

Ferroptosis‐related gene signature predicts prognosis and immunotherapy in glioma

RJ Wan, W Peng, QX Xia, HH Zhou… - CNS neuroscience & …, 2021 - Wiley Online Library
Aims Glioma is a highly invasive brain tumor, which makes prognosis challenging and
renders patients resistant to various treatments. Induction of cell death is promising in cancer …

Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study

M Wennmann, A Klein, F Bauer, J Chmelik… - Investigative …, 2022 - journals.lww.com
Objectives Disseminated bone marrow (BM) involvement is frequent in multiple myeloma
(MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole …

A preliminary study using spinal MRI-based radiomics to predict high-risk cytogenetic abnormalities in multiple myeloma

J Liu, C Wang, W Guo, P Zeng, Y Liu, N Lang… - La radiologia medica, 2021 - Springer
Objectives We aimed to investigate the feasibility of predicting high-risk cytogenetic
abnormalities (HRCAs) in patients with multiple myeloma (MM) using a spinal MRI-based …

New developments in myeloma treatment and response assessment

F Kraeber-Bodéré, B Jamet, D Bezzi… - Journal of Nuclear …, 2023 - Soc Nuclear Med
Recent innovative strategies have dramatically redefined the therapeutic landscape for
treating multiple myeloma patients. In particular, the development and application of …

18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple …

H Zhong, D Huang, J Wu, X Chen, Y Chen… - BMC Medical Imaging, 2023 - Springer
Purpose Multiple myeloma (MM), the second most hematological malignancy, have been
studied extensively in the prognosis of the clinical parameters, however there are only a few …

[HTML][HTML] Bone marrow segmentation and radiomics analysis of [18F] FDG PET/CT images for measurable residual disease assessment in multiple myeloma

E Milara, A Gómez-Grande, S Tomás-Soler… - Computer Methods and …, 2022 - Elsevier
Background and objectives The last few years have been crucial in defining the most
appropriate way to quantitatively assess [18 F] FDG PET images in Multiple Myeloma (MM) …

Prediction of high‐risk cytogenetic status in multiple myeloma based on magnetic resonance imaging: utility of radiomics and comparison of machine learning …

J Liu, P Zeng, W Guo, C Wang, Y Geng… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Radiomics has shown promising results in the diagnosis, efficacy, and
prognostic assessments of multiple myeloma (MM). However, little evidence exists on the …

Value of T2-weighted-based radiomics model in distinguishing Warthin tumor from pleomorphic adenoma of the parotid

Z Hu, J Guo, J Feng, Y Huang, H Xu, Q Zhou - European Radiology, 2023 - Springer
Abstract Objectives The differentiation of Warthin tumor and pleomorphic adenoma before
treatment is crucial for clinical strategies. The aim of this study was to develop and test a T2 …