CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
AbstractEven though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without applications in routine clinical practice. The workflow of radiomics is complex due to several methodological steps and nuances, which often leads to inadequate reporting and evaluation, and poor reproducibility. Available reporting guidelines and checklists for artificial intelligence and predictive modeling include relevant good practices, but they are not tailored to radiomic research. There is a clear need for a complete radiomics checklist for study planning, m...
Source: Insights into Imaging - May 4, 2023 Category: Radiology Source Type: research
Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics
ConclusionsIn this study, three classification models were established to distinguish ruptured and unruptured aneurysms accurately. The aneurysms segmentation and morphological measurements were performed automatically, which greatly improved the clinical efficiency.Clinical relevance statementOur fully automatic models could rapidly process the CTA data and evaluate the status of aneurysms in one minute.Graphical Abstract (Source: Insights into Imaging)
Source: Insights into Imaging - May 4, 2023 Category: Radiology Source Type: research
Focal breast edema and breast edema score on T2-weighted images provides valuable biological information for invasive breast cancer
ConclusionsFocal edema on T2WI of breast MRI indicates stronger tumor invasiveness, in which non-luminal breast cancer is more inclined to present focal edema. Breast edema score, a novel and practical tool, helps guide the individualized treatment of patients with invasive breast cancer.Graphical AbstractCritical relevance statementFocal edema on T2WI of breast MRI indicates stronger tumor invasiveness. Breast edema score helps guide the individualized treatment of patients with invasive breast cancer. (Source: Insights into Imaging)
Source: Insights into Imaging - April 30, 2023 Category: Radiology Source Type: research
Dual-energy CT virtual non-calcium: an accurate method for detection of knee osteoarthritis-related edema-like marrow signal intensity
ConclusionsVNCa images have good diagnostic performance for the qualitative and quantitative analysis of knee osteoarthritis-related ELMSI. (Source: Insights into Imaging)
Source: Insights into Imaging - April 30, 2023 Category: Radiology Source Type: research
A multicenter study of artificial intelligence-aided software for detecting visible clinically significant prostate cancer on mpMRI
ConclusionsAI software improves the performance of radiologists by reducing false positive detection of prostate cancer patients and also improving reading times and diagnostic confidence.Clinical relevance statementThis study involves the process of data collection, randomization and crossover reading procedure.Graphical Abstract (Source: Insights into Imaging)
Source: Insights into Imaging - April 30, 2023 Category: Radiology Source Type: research
Clinical audit in European radiology: current status and recommendations for improvement endorsed by the European Society of Radiology (ESR)
AbstractClinical audit is an important quality improvement activity and has significant benefits for patients in terms of enhanced care, safety, experience and outcomes. Clinical audit in support of radiation protection is mandated within the European Council Basic Safety Standards Directive (BSSD), 2013/59/Euratom. The European Society of Radiology (ESR) has recognised clinical audit as an area of particular importance in the delivery of safe and effective health care. The ESR, alongside other European organisations and professional bodies, has developed a range of clinical audit-related initiatives to support European ra...
Source: Insights into Imaging - April 28, 2023 Category: Radiology Source Type: research
Multi-channel deep learning model-based myocardial spatial –temporal morphology feature on cardiac MRI cine images diagnoses the cause of LVH
ConclusionThe combined model based on the mask of left ventricular segmented from multi-sequences cine MR images shows favorable and robust performance in diagnosing the cause of left ventricular hypertrophy, which could be served as a noninvasive tool and help clinical decision. (Source: Insights into Imaging)
Source: Insights into Imaging - April 24, 2023 Category: Radiology Source Type: research
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
Conclusions We developed a CT-based AI model that can differentiate benign and malignant ovarian tumors with high accuracy and specificity. This model significantly improved the performance of less-experienced radiologists in ovarian tumor assessment, and may potentially guide gynecologists to provide better therapeutic strategies for these patients. (Source: Insights into Imaging)
Source: Insights into Imaging - April 24, 2023 Category: Radiology Source Type: research
CT analysis of thoracolumbar body composition for estimating whole-body composition
ConclusionsSingle-slice L2 –3 (abdominal CT range) and L1 (chest CT range) analysis best correlated with whole-body composition around 0.90 (coefficient). Multi-slice waist averaging provided a slightly higher correlation of 0.92. (Source: Insights into Imaging)
Source: Insights into Imaging - April 24, 2023 Category: Radiology Source Type: research
Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer
Conclusions Radiomics features extracted from both intra- and peritumoral regions in T2WI and DWI are feasible and promising for the preoperative prediction of LNM for patients with ECC. (Source: Insights into Imaging)
Source: Insights into Imaging - April 15, 2023 Category: Radiology Source Type: research
A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study
ConclusionDNN model had satisfactory performance and a higher accuracy than pulmonologists on classifying patients with presumptive mycobacterial lung diseases. DNN model could be a complementary first-line screening tool. (Source: Insights into Imaging)
Source: Insights into Imaging - April 15, 2023 Category: Radiology Source Type: research
Right and left ventricular blood pool T2 ratio on cardiac magnetic resonance imaging correlates with hemodynamics in patients with pulmonary hypertension
ConclusionsRVT2/LVT2 on T2 mapping could be an additional CMR imaging marker that may assist to evaluate the severity of PH. (Source: Insights into Imaging)
Source: Insights into Imaging - April 15, 2023 Category: Radiology Source Type: research
Measuring appropriateness of diagnostic imaging: a scoping review
AbstractIn radiology, the justification of diagnostic imaging is a key performance indicator. To date, specific recommendations on the measurement of appropriateness in diagnostic imaging are missing. To map the study literature concerning the definition, measures, methods and data used for analyses of appropriateness in research of diagnostic imaging. We conducted a scoping review in Medline, EMBASE, Scopus and the Cochrane Central Register of Controlled Trials. Two independent reviewers undertook screening and data extraction. After screening 6021 records, we included 50 studies. National guidelines (n = 22/50) or Am...
Source: Insights into Imaging - April 13, 2023 Category: Radiology Source Type: research
Radiomics model to classify mammary masses using breast DCE-MRI compared to the BI-RADS classification performance
ConclusionA radiomics signature from features extracted using breast DCE-MRI can reach an AUC of 0.94 on a test-set and could provide as good results as BI-RADS to classify mammary masses. (Source: Insights into Imaging)
Source: Insights into Imaging - April 13, 2023 Category: Radiology Source Type: research
Mucosal healing assessment in Crohn ’s disease with normalized iodine concentration from dual-energy CT enterography: comparison with endoscopy
ConclusionsThe normalized iodine concentration measurement in DECTE has good performance in assessment MH in patients with CD. Iodine concentration from DECTE can be used as a radiologic marker for MH. (Source: Insights into Imaging)
Source: Insights into Imaging - April 13, 2023 Category: Radiology Source Type: research
