clinical PET/MRI: 2018 update
OBJECTIVE. The purpose of this article is to provide an update on clinical PET/MRI,
including current and developing clinical indications and technical developments …
including current and developing clinical indications and technical developments …
Diffusion-weighted MR imaging of musculoskeletal tissues: incremental role over conventional MR imaging in bone, soft tissue, and nerve lesions
M Guirguis, G Sharan, J Wang, A Chhabra - BJR| Open, 2022 - academic.oup.com
Diffusion-weighted imaging is increasingly becoming popular in musculoskeletal radiology
for its incremental role over conventional MR imaging in the diagnostic strategy and …
for its incremental role over conventional MR imaging in the diagnostic strategy and …
Soft-tissue sarcomas: assessment of MRI features correlating with histologic grade and patient outcome
A Crombé, PJ Marcellin, X Buy, E Stoeckle, V Brouste… - Radiology, 2019 - pubs.rsna.org
Background Managing soft-tissue sarcoma (STS) relies on histologic grade, which is the
strongest prognostic factor and a routine assessment at biopsy. However, underestimation of …
strongest prognostic factor and a routine assessment at biopsy. However, underestimation of …
Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high‐grade lesions
VDA Corino, E Montin, A Messina… - Journal of Magnetic …, 2018 - Wiley Online Library
Purpose To assess the feasibility of grading soft tissue sarcomas (STSs) using MRI features
(radiomics). Materials and Methods MRI (echo planar SE, 1.5 T) from 19 patients with STSs …
(radiomics). Materials and Methods MRI (echo planar SE, 1.5 T) from 19 patients with STSs …
Radiomics and machine learning with multiparametric preoperative MRI may accurately predict the histopathological grades of soft tissue sarcomas
H Wang, H Chen, S Duan, D Hao… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Preoperative prediction of the grade of soft tissue sarcomas (STSs) is important
because of its effect on treatment planning. Purpose To assess the value of radiomics …
because of its effect on treatment planning. Purpose To assess the value of radiomics …
Soft tissue sarcoma: preoperative MRI-based radiomics and machine learning may be accurate predictors of histopathologic grade
W Xu, D Hao, F Hou, D Zhang… - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to assess the value of radiomics features for
differentiating soft tissue sarcomas (STSs) of different histopathologic grades. MATERIALS …
differentiating soft tissue sarcomas (STSs) of different histopathologic grades. MATERIALS …
Applications of PET‐MRI in musculoskeletal disease
New integrated PET‐MRI systems potentially provide a complete imaging modality for
diagnosis and evaluation of musculoskeletal disease. MRI is able to provide excellent high …
diagnosis and evaluation of musculoskeletal disease. MRI is able to provide excellent high …
Imaging response evaluation after neoadjuvant treatment in soft tissue sarcomas: Where do we stand?
N Gennaro, S Reijers, A Bruining, C Messiou… - Critical Reviews in …, 2021 - Elsevier
Soft tissue sarcomas (STS) represent a broad family of rare tumours for which surgery with
radiotherapy represents first-line treatment. Recently, neoadjuvant chemo-radiotherapy has …
radiotherapy represents first-line treatment. Recently, neoadjuvant chemo-radiotherapy has …
Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model
L Zhang, Z Ren - Clinical Radiology, 2020 - Elsevier
AIM To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung
metastasis based on computed tomography (CT), T1-weighted (T1W) magnetic resonance …
metastasis based on computed tomography (CT), T1-weighted (T1W) magnetic resonance …
Prognosis prediction of extremity and trunk wall soft-tissue sarcomas treated with surgical resection with radiomic analysis based on random survival forest
Y Yang, X Ma, Y Wang, X Ding - Updates in Surgery, 2022 - Springer
Many researches have applied machine learning methods to find associations between
radiomic features and clinical outcomes. Random survival forests (RSF), as an accurate …
radiomic features and clinical outcomes. Random survival forests (RSF), as an accurate …