ArticleThe British journal of radiology2019
Clinical-radiomics nomograms for pre-operative differentiation of sacral chordoma and sacral giant cell tumor based on 3D computed tomography and multiparametric magnetic resonance imaging.
Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers.Journal of orthopaedic surgery and research · 2023Pooled it
- Development and validation of MRI-based radiomics models for predicting recurrence in patients with spine and pelvis chordomas.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Radiomics analysis of multiphase contrast-enhanced CT imaging for differentiating primary gastric lymphoma and Borrmann type IV gastric cancer.European journal of radiology open · 2026Article
- Mri-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone.Journal of bone oncology · 2026Article
- Deep Learning-Assisted Radiomics for Predicting Thoracolumbar Osteoporotic Vertebral Fractures.Clinical interventions in aging · 2026Article
- Radiogenomic method combining DNA methylation profiles and magnetic resonance imaging radiomics predicts patient prognosis in skull base chordoma.Clinical epigenetics · 2025Article
- The novel developed and validated multiparametric MRI-based fusion radiomic and clinicoradiomic models predict the postoperative progression of primary skull base chordoma.Scientific reports · 2024Article
- Integrating radiomics with clinical data for enhanced prediction of vertebral fracture risk.Frontiers in bioengineering and biotechnology · 2024Article
- The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures.BMC musculoskeletal disorders · 2023Article
- Article
- Development and validation of a preoperative MRI-based radiomics nomogram to predict progression-free survival in patients with clival chordomas.Frontiers in oncology · 2022Article
- Differentiation of paediatric posterior fossa tumours by the multiregional and multiparametric MRI radiomics approach: a study on the selection of optimal multiple sequences and multiregions.The British journal of radiology · 2022Article
- State of the Art and New Concepts in Giant Cell Tumor of Bone: Imaging Features and Tumor Characteristics.Cancers · 2021Review
- Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the Hip.Diagnostics (Basel, Switzerland) · 2021Article
- Prediction of the early recurrence in spinal giant cell tumor of bone using radiomics of preoperative CT: Long-term outcome of 62 consecutive patients.Journal of bone oncology · 2021Article
- CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors.Frontiers in oncology · 2021Article
- Clinical-Deep Neural Network and Clinical-Radiomics Nomograms for Predicting the Intraoperative Massive Blood Loss of Pelvic and Sacral Tumors.Frontiers in oncology · 2021Article
- Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases.Frontiers in oncology · 2021Article
- Cervical spine osteoradionecrosis or bone metastasis after radiotherapy for nasopharyngeal carcinoma? The MRI-based radiomics for characterization.BMC medical imaging · 2020Article
- Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors.Frontiers in oncology · 2020Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and validate clinical-radiomics nomograms based on three-dimensional CT and multiparametric MRI (mpMRI) for pre-operative differentiation of sacral chordoma (SC) and sacral giant cell tumor (SGCT).
methodsA total of 83 SC and 54 SGCT patients diagnosed through surgical pathology were retrospectively analyzed. We built six models based on CT, CT enhancement (CTE),
resultsSC and SGCT presented significant differences in terms of age, sex, and tumor location (
conclusionsThe radiomics model based on CT and multiparametricMRI present a certain predictive value in distinguishing SC and SGCT, which can be used for auxiliary diagnosis before operation. The clinical-radiomics nomograms performed better than radiomics nomograms. ADVANCES IN KNOWLEDGE: Clinical-radiomics nomograms based on CT and mpMRI features can be used for preoperative differentiation of SC and SGCT.
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