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An Update in Imaging Evaluation of Histopathological Grade of Soft Tissue Sarcomas Using Structural and Quantitative Imaging and Radiomics
- Source :
- Journal of Magnetic Resonance Imaging. 55:1357-1375
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Over the past two decades, considerable efforts have been made to develop non-invasive methods for determining tumor grade or surrogates for predicting the biological behavior, aiding early treatment decisions, and providing prognostic information. The development of new imaging tools, such as diffusion-weighted imaging, diffusion kurtosis imaging, perfusion imaging, and magnetic resonance spectroscopy have provided leverage in the diagnosis of soft tissue sarcomas. Artificial intelligence is a new technology used to study and simulate human thinking and abilities, which can extract and analyze advanced and quantitative image features from medical images with high throughput for an in-depth characterization of the spatial heterogeneity of tumor tissues. This article reviews the current imaging modalities used to predict the histopathological grade of soft tissue sarcomas and highlights the advantages and limitations of each modality. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 2.
- Subjects :
- medicine.medical_specialty
Quantitative imaging
Modality (human–computer interaction)
business.industry
Soft tissue
Sarcoma
Soft Tissue Neoplasms
Perfusion scanning
Magnetic Resonance Imaging
Tumor grade
Diffusion Magnetic Resonance Imaging
Radiomics
Artificial Intelligence
Humans
Medicine
Radiology, Nuclear Medicine and imaging
Radiology
Stage (cooking)
business
Diffusion Kurtosis Imaging
Retrospective Studies
Subjects
Details
- ISSN :
- 15222586 and 10531807
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- Journal of Magnetic Resonance Imaging
- Accession number :
- edsair.doi.dedup.....99013bda3cbfbcabb7e757c28aeecf27