A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation
J Zhong, Y Hu, L Si, G Jia, Y Xing, H Zhang, W Yao - European radiology, 2021 - Springer
Objectives To assess the methodological quality and risk of bias in radiomics studies
investigating diagnosis, therapy response, and survival of patients with osteosarcoma …
investigating diagnosis, therapy response, and survival of patients with osteosarcoma …
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 …
authors have raised concerns over the robustness and replicability of the results. This study …
Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram
J Zhong, C Zhang, Y Hu, J Zhang, Y Liu, L Si, Y Xing… - European …, 2022 - Springer
Objectives To implement a pipeline to automatically segment the ROI and to use a
nomogram integrating the MRI-based radiomics score and clinical variables to predict …
nomogram integrating the MRI-based radiomics score and clinical variables to predict …
Bone metastases are measurable: the role of whole-body MRI and positron emission tomography
DE Oprea-Lager, MCF Cysouw, R Boellaard… - Frontiers in …, 2021 - frontiersin.org
Metastatic tumor deposits in bone marrow elicit differential bone responses that vary with the
type of malignancy. This results in either sclerotic, lytic, or mixed bone lesions, which can …
type of malignancy. This results in either sclerotic, lytic, or mixed bone lesions, which can …
An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics
J Zhong, Y Hu, G Zhang, Y Xing, D Ding, X Ge… - Insights into …, 2022 - Springer
Objective To update the systematic review of radiomics in osteosarcoma. Methods PubMed,
Embase, Web of Science, China National Knowledge Infrastructure, and Wanfang Data …
Embase, Web of Science, China National Knowledge Infrastructure, and Wanfang Data …
Prediction of histologic neoadjuvant chemotherapy response in osteosarcoma using pretherapeutic MRI radiomics
A Bouhamama, B Leporq, W Khaled… - Radiology: Imaging …, 2022 - pubs.rsna.org
Histologic response to chemotherapy for osteosarcoma is one of the most important
prognostic factors for survival, but assessment occurs after surgery. Although tumor imaging …
prognostic factors for survival, but assessment occurs after surgery. Although tumor imaging …
[HTML][HTML] Spatial heterogeneity of nanomedicine investigated by multiscale imaging of the drug, the nanoparticle and the tumour environment
Genetic and phenotypic tumour heterogeneity is an important cause of therapy resistance.
Moreover, non-uniform spatial drug distribution in cancer treatment may cause pseudo …
Moreover, non-uniform spatial drug distribution in cancer treatment may cause pseudo …
Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: a retrospective multicenter …
H Chen, J Liu, Z Cheng, X Lu, X Wang, M Lu… - European journal of …, 2020 - Elsevier
Purpose To develop and externally validate an MR-based radiomics nomogram from
retrospective multicenter datasets for pretreatment prediction of early relapse (≤ 1 year) in …
retrospective multicenter datasets for pretreatment prediction of early relapse (≤ 1 year) in …
A [68Ga] Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours
Predicting grade 1 (G1) and 2 (G2) primary pancreatic neuroendocrine tumour (panNET) is
crucial to foresee panNET clinical behaviour. Fifty-one patients with G1-G2 primary panNET …
crucial to foresee panNET clinical behaviour. Fifty-one patients with G1-G2 primary panNET …
Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of …
Z Deng, W Dong, S Xiong, D Jin, H Zhou… - Frontiers in …, 2023 - frontiersin.org
Objective The purpose of this research was to develop a radiomics model that combines
several clinical features for preoperative prediction of the pathological grade of bladder …
several clinical features for preoperative prediction of the pathological grade of bladder …