Radiomics and artificial intelligence for soft-tissue sarcomas: Current status and perspectives
Published 2023 View Full Article
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Title
Radiomics and artificial intelligence for soft-tissue sarcomas: Current status and perspectives
Authors
Keywords
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Journal
Diagnostic and Interventional Imaging
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2023-10-05
DOI
10.1016/j.diii.2023.09.005
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Note: Only part of the references are listed.- Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach
- (2023) Brandon K. K. Fields et al. MOLECULAR IMAGING AND BIOLOGY
- Tumor-to-bone distance and radiomic features on MRI distinguish intramuscular lipomas from well-differentiated liposarcomas
- (2023) Narumol Sudjai et al. Journal of Orthopaedic Surgery and Research
- The role of the radiologist in the management of soft-tissue masses: With great power comes great responsibility
- (2023) Pedro Augusto Gondim Teixeira Diagnostic and Interventional Imaging
- Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas
- (2023) Sarah C. Foreman et al. Cancers
- PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma
- (2022) Wenzhe Zhao et al. CANCER IMAGING
- Deep Learning Networks for Automatic Retroperitoneal Sarcoma Segmentation in Computerized Tomography
- (2022) Giuseppe Salvaggio et al. Applied Sciences-Basel
- Discrimination of lipoma from atypical lipomatous tumor/well-differentiated liposarcoma using magnetic resonance imaging radiomics combined with machine learning
- (2022) Nurdan Cay et al. Japanese Journal of Radiology
- Differentiation Between Lipomas and Atypical Lipomatous Tumors of the Extremities Using Radiomics
- (2022) Yaozhou Tang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- MRI ‐Based Computer‐Aided Diagnostic Model to Predict Tumor Grading and Clinical Outcomes in Patients With Soft Tissue Sarcoma
- (2022) Yuhan Yang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Voxel‐wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns
- (2022) Thibault Escobar et al. MEDICAL PHYSICS
- Novel computer aided diagnostic models on multimodality medical images to differentiate well differentiated liposarcomas from lipomas approached by deep learning methods
- (2022) Yuhan Yang et al. Orphanet Journal of Rare Diseases
- CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools
- (2022) Luis Martí Bonmatí et al. Frontiers in Oncology
- MRI Fat‐Saturated T2‐Weighted Radiomics Model for Identifying the Ki‐67 Index of Soft Tissue Sarcomas
- (2022) Yang Yang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor
- (2022) Zhibin Yue et al. MAGNETIC RESONANCE IMAGING
- Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications
- (2022) Maxime Lacroix et al. Diagnostic and Interventional Imaging
- Radiomics: A review of current applications and possibilities in the assessment of tumor microenvironment
- (2022) Caiqiang Xue et al. Diagnostic and Interventional Imaging
- A contrast‐enhanced MRI‐based nomogram to identify lung metastasis in soft‐tissue sarcoma: A multi‐centre study
- (2022) Yue Hu et al. MEDICAL PHYSICS
- Radiomics-based approaches outperform visual analysis for differentiating lipoma from atypical lipomatous tumors: a review
- (2022) Jordan Haidey et al. SKELETAL RADIOLOGY
- Soft-tissue sarcoma in adults: Imaging appearances, pitfalls and diagnostic algorithms
- (2022) Amandine Crombé et al. Diagnostic and Interventional Imaging
- Artificial intelligence in diagnostic and interventional radiology: Where are we now?
- (2022) Tom Boeken et al. Diagnostic and Interventional Imaging
- Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study
- (2021) Ruixin Yan et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors
- (2021) Brandon K. K. Fields et al. EUROPEAN RADIOLOGY
- Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics
- (2021) Jan C. Peeken et al. Cancers
- Prognosis prediction of extremity and trunk wall soft-tissue sarcomas treated with surgical resection with radiomic analysis based on random survival forest
- (2021) Yuhan Yang et al. Updates in Surgery
- Soft tissue and visceral sarcomas: ESMO–EURACAN–GENTURIS Clinical Practice Guidelines for diagnosis, treatment and follow-up☆
- (2021) A. Gronchi et al. ANNALS OF ONCOLOGY
- Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study
- (2021) Shunli Liu et al. EUROPEAN RADIOLOGY
- MRI-based Delta-Radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy
- (2021) Jan C. Peeken et al. RADIOTHERAPY AND ONCOLOGY
- Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumors
- (2021) Seung Eun Lee et al. Scientific Reports
- Development and External Validation of Deep-Learning-Based Tumor Grading Models in Soft-Tissue Sarcoma Patients Using MR Imaging
- (2021) Fernando Navarro et al. Cancers
- Implementing a Machine Learning Strategy to Predict Pathologic Response in Patients With Soft Tissue Sarcomas Treated With Neoadjuvant Chemotherapy
- (2021) Amandine Crombé et al. JCO Clinical Cancer Informatics
- Diagnosis strategy of adipocytic soft-tissue tumors in adults: a consensus from European experts
- (2021) Benjamin Moulin et al. EJSO
- Natural Changes in Radiological and Radiomics Features on MRIs of Soft‐Tissue Sarcomas Naïve of Treatment: Correlations With Histology and Patients' Outcomes
- (2021) David Fadli et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
- (2021) Thibault Marin et al. RADIOTHERAPY AND ONCOLOGY
- Can radiomics improve the prediction of metastatic relapse of myxoid/round cell liposarcomas?
- (2020) Amandine Crombé et al. EUROPEAN RADIOLOGY
- High‐Grade Soft‐Tissue Sarcomas: Can Optimizing Dynamic Contrast‐Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?
- (2020) Amandine Crombé et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Qualitative evaluation of MRI features of lipoma and atypical lipomatous tumor: results from a multicenter study
- (2020) Lorenzo Nardo et al. SKELETAL RADIOLOGY
- The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
- (2020) Alex Zwanenburg et al. RADIOLOGY
- Pilot study to differentiate lipoma from atypical lipomatous tumour/well-differentiated liposarcoma using MR radiomics-based texture analysis
- (2020) Ian Pressney et al. SKELETAL RADIOLOGY
- Treatment effect prediction for sarcoma patients treated with preoperative radiotherapy using radiomics features from longitudinal diffusion-weighted MRI
- (2020) Yu Gao et al. PHYSICS IN MEDICINE AND BIOLOGY
- High throughput profiling of undifferentiated pleomorphic sarcomas identifies two main subgroups with distinct immune profile, clinical outcome and sensitivity to targeted therapies
- (2020) Maud Toulmonde et al. EBioMedicine
- Influence of temporal parameters of DCE‐MRI on the quantification of heterogeneity in tumor vascularization
- (2019) Amandine Crombé et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics
- (2019) Fanny Orlhac et al. RADIOLOGY
- Soft-Tissue Sarcomas: Assessment of MRI Features Correlating with Histologic Grade and Patient Outcome
- (2019) Amandine Crombé et al. RADIOLOGY
- CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy
- (2019) Jan C. Peeken et al. RADIOTHERAPY AND ONCOLOGY
- Tumor grading of soft tissue sarcomas using MRI-based radiomics
- (2019) Jan C. Peeken et al. EBioMedicine
- Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI
- (2019) M. Vos et al. BRITISH JOURNAL OF SURGERY
- Role of perioperative chemotherapy in soft-tissue sarcomas: It's time to end a never-ending story
- (2018) A. Italiano et al. EUROPEAN JOURNAL OF CANCER
- Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI
- (2018) Yu Zhang et al. ACADEMIC RADIOLOGY
- T2 -based MRI Delta-radiomics improve response prediction in soft-tissue sarcomas treated by neoadjuvant chemotherapy.
- (2018) Amandine Crombé et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions
- (2017) Valentina D.A. Corino et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Responsible Radiomics Research for Faster Clinical Translation
- (2017) Martin Vallières et al. JOURNAL OF NUCLEAR MEDICINE
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- Soft tissue masses with myxoid stroma: Can conventional magnetic resonance imaging differentiate benign from malignant tumors?
- (2016) A. Crombe et al. EUROPEAN JOURNAL OF RADIOLOGY
- Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: a retrospective analysis
- (2016) Dario Callegaro et al. LANCET ONCOLOGY
- Imaging of Soft-Tissue Musculoskeletal Masses: Fundamental Concepts
- (2016) Mark J. Kransdorf et al. RADIOGRAPHICS
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
- (2015) M Vallières et al. PHYSICS IN MEDICINE AND BIOLOGY
- Soft tissue sarcoma in France in 2015: Epidemiology, classification and organization of clinical care
- (2015) C. Honoré et al. Journal of Visceral Surgery
- Differentiation of Lipoma From Liposarcoma on MRI Using Texture and Shape Analysis
- (2014) Rebecca E. Thornhill et al. ACADEMIC RADIOLOGY
- MR imaging of myxofibrosarcoma and undifferentiated sarcoma with emphasis on tail sign; diagnostic and prognostic value
- (2014) Hye Jin Yoo et al. EUROPEAN RADIOLOGY
- Can MR Imaging Be Used to Predict Tumor Grade in Soft-Tissue Sarcoma?
- (2014) Fang Zhao et al. RADIOLOGY
- SMOTE for high-dimensional class-imbalanced data
- (2013) Rok Blagus et al. BMC BIOINFORMATICS
- The biology underlying molecular imaging in oncology: from genome to anatome and back again
- (2010) R.J. Gillies et al. CLINICAL RADIOLOGY
- Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images
- (2010) Jaber Juntu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity
- (2010) Frédéric Chibon et al. NATURE MEDICINE
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
- (2008) E.A. Eisenhauer et al. EUROPEAN JOURNAL OF CANCER
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