Explainable AI in radiology: a white paper of the Italian Society of Medical and Interventional Radiology
AbstractThe term Explainable Artificial Intelligence (xAI) groups together the scientific body of knowledge developed while searching for methods to explain the inner logic behind the AI algorithm and the model inference based on knowledge-based interpretability. The xAI is now generally recognized as a core area of AI. A variety of xAI methods currently are available to researchers; nonetheless, the comprehensive classification of the xAI methods is still lacking. In addition, there is no consensus among the researchers with regards to what an explanation exactly is and which are salient properties that must be considered...
Source: La Radiologia Medica - May 8, 2023 Category: Radiology Source Type: research
A multiparametric clinic-ultrasomics nomogram for predicting extremity soft-tissue tumor malignancy: a combined retrospective and prospective bicentric study
ConclusionThe multiparametric clinic-ultrasomics nomogram can accurately predict the malignancy of ESTTs. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 8, 2023 Category: Radiology Source Type: research
Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features
ConclusionPreoperative CT radiomic features can effectively predict the level of mitosis in GIST, and combined with preoperative tumor size, accurate preoperative risk stratification can be performed to guide clinical decision-making and individualized treatment. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 6, 2023 Category: Radiology Source Type: research
CT-based radiomics can identify physiological modifications of bone structure related to subjects ’ age and sex
ConclusionRadiomics features are able to extract biometric data from lumbar trabecular bone, and determine bone modifications related to subjects ’ sex and age with great accuracy. However, acquisition from different CT scanners reduces the accuracy of the analysis. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 6, 2023 Category: Radiology Source Type: research
Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features
ConclusionPreoperative CT radiomic features can effectively predict the level of mitosis in GIST, and combined with preoperative tumor size, accurate preoperative risk stratification can be performed to guide clinical decision-making and individualized treatment. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 6, 2023 Category: Radiology Source Type: research
CT-based radiomics can identify physiological modifications of bone structure related to subjects ’ age and sex
ConclusionRadiomics features are able to extract biometric data from lumbar trabecular bone, and determine bone modifications related to subjects ’ sex and age with great accuracy. However, acquisition from different CT scanners reduces the accuracy of the analysis. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 6, 2023 Category: Radiology Source Type: research
Whole body MRI with Diffusion Weighted Imaging versus 18F-fluorodeoxyglucose-PET/CT in the staging of lymphomas
ConclusionWB-MRI has a good diagnostic performance for staging of patients with lymphoma in comparison with 18F-FDG-PET/CT and is a promising technique for the quantitative assessment of disease burden in these patients. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 5, 2023 Category: Radiology Source Type: research
Application of three-dimensional multi-imaging combination in brachytherapy of cervical cancer
ConclusionThe current imaging combination methods mainly include MRI/CT, US/CT, MRI/US, and MRI/PET. The combination of two imaging tools can be used for applicator implantation guidance, applicator reconstruction, target and organs at risk (OAR) contouring, dose optimization, prognosis evaluation, etc., which provides a more suitable imaging choice for brachytherapy. (Source: La Radiologia Medica)
Source: La Radiologia Medica - May 3, 2023 Category: Radiology Source Type: research
Quantification of sarcopenia in patients with rheumatoid arthritis by measuring the cross-sectional area of the thigh muscles with magnetic resonance imaging
ConclusionMRI-CSA-25 can differentiate sarcopenic versus non-sarcopenic RA patients, representing an imaging biomarker of this condition. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 29, 2023 Category: Radiology Source Type: research
Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI
ConclusionMUSE-DWI exhibits better image quality than rFOV-DWI. MUSE-DWI and rFOV-DWI shows almost equivalent diagnostic performance compared to DCE-MRI for assessing superficial and deep myometrial invasion in EC although MUSE-DWI may be helpful for some radiologists. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 29, 2023 Category: Radiology Source Type: research
Quantification of sarcopenia in patients with rheumatoid arthritis by measuring the cross-sectional area of the thigh muscles with magnetic resonance imaging
ConclusionMRI-CSA-25 can differentiate sarcopenic versus non-sarcopenic RA patients, representing an imaging biomarker of this condition. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 29, 2023 Category: Radiology Source Type: research
Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI
ConclusionMUSE-DWI exhibits better image quality than rFOV-DWI. MUSE-DWI and rFOV-DWI shows almost equivalent diagnostic performance compared to DCE-MRI for assessing superficial and deep myometrial invasion in EC although MUSE-DWI may be helpful for some radiologists. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 29, 2023 Category: Radiology Source Type: research
Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer
ConclusionsOur multi-modal (CT/EHRs) artificial intelligence models generated with the NAS approach have high accuracy for tumor stage prediction and optimal treatment regimen and timing, which could facilitate radiologists and gastroenterologists to improve diagnosis and treatment efficiency. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 28, 2023 Category: Radiology Source Type: research