Diagnostic performance of an algorithm for automated collateral scoring on computed tomography angiography
ConclusionsThe automated CS performs similar to radiologists in determining a good versus poor collateral score and predicting functional independence in acute ischemic stroke patients with a large vessel occlusion.Key Points•Software for automated quantification of intracerebral collateral circulation on computed tomography angiography performs similar to expert radiologists in determining a good versus poor collateral score.•Software for automated quantification of intracerebral collateral circulation on computed tomography angiography performs similar to expert radiologists in predicting functional independence in a...
Source: European Radiology - March 4, 2022 Category: Radiology Source Type: research

Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model
ConclusionsFeature ablation is a feasible technique for understanding AI model predictions. Nodule size and morphology play the largest role in AI prediction, with nodule internal texture and background parenchyma playing a limited role. This is broadly analogous to the relative importance of morphological factors over clinical factors within the Brock model.Key Points•Brock lung cancer risk prediction accuracy was significantly improved using automated axial or equivalent spherical measurements of lung nodule diameter, when compared to manual measurements.•Predictive accuracy was further improved by using the Lung Can...
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen
ConclusionsDLIR improves vessel conspicuity, CNR, and lesion conspicuity of virtual monochromatic and iodine density images in abdominal contrast-enhanced DECT, compared to hybrid IR.Key Points• Deep learning image reconstruction (DLIR) is useful for reducing image noise and improving the CNR of visual monochromatic 40-, 50-, and 70-keV images in dual-energy CT.• DLIR can improve lesion conspicuity of abdominal solid lesions on virtual monochromatic images compared to hybrid iterative reconstruction.• DLIR can also be applied to iodine density maps and significantly improves their image quality. (Source: European Radiology)
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer
ConclusionThe proposed IRM could be potentially feasible to predict the risk of having LNI for patients with PCa. With the improved predictability, it could be utilized to assess which patients with PCa could safely avoid ePLND, thus reduce the number of unnecessary ePLND.Key Points•The combination of MRI-based radiomics features with clinical information improved the prediction of lymph node invasion, compared with the model using only radiomics features or clinical features.•With improved prediction performance on predicting lymph node invasion, the number of extended pelvic lymph node dissection (ePLND) could be red...
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Multi-lesion radiomics model for discrimination of relapsing-remitting multiple sclerosis and neuropsychiatric systemic lupus erythematosus
ConclusionsThe multi-lesion radiomics model could effectively discriminate between RRMS and NPSLE, providing a supplementary tool for accurate differential diagnosis of the two diseases.Key Points•Radiomic features of brain lesions in RRMS and NPSLE were different.•The multi-lesion radiomics model constructed using a merging strategy was comprehensively superior to the single-lesion-based model for discrimination of RRMS and NPSLE.•The RRMS-NPSLE discrimination model showed a significantly better performance or a trend toward significance than the radiologists. (Source: European Radiology)
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Detection of pulmonary nodules with scoutless fixed-dose ultra-low-dose CT: a prospective study
ConclusionsScoutless ULD CT reliably detects solid lung nodules with a clinically relevant volume (>  50 mm3) in lung cancer screening, irrespective of patient size. Since detection rates were lower compared to SD CT for nodules<  50 mm3, its use for lung metastasis detection should be considered on a case-by-case basis.Key Points• Detection rates of pulmonary nodules>  50 mm3are not significantly different between scoutless ULD and SD CT (i.e.volumes clinically relevant in lung cancer screening based on the NELSON trial), but were different for the detection of nodules<  50 mm3(i.e.volumes still ...
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Influence of oral contrast type and volume on patient experience and quality of luminal distension at MR Enterography in Crohn ’s disease: an observational study of patients recruited to the METRIC trial
ConclusionMannitol-based solutions and PEG generally achieve comparable distension quality and side effect profiles, although jejunal distension is better quality with mannitol. Neither distension quality nor side-effect profile is altered by ingestion of more than 1 L of mannitol.Key Points• Mannitol-based and PEG-based oral preparation agents generally achieve comparable distension quality for MRE with the exception of the jejunum which is better distended with mannitol.• Mannitol-based and PEG-based oral preparation agents used for MRE have similar side effect profiles.• Neither distension quality nor side-effect ...
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Reproducibility and diagnostic accuracy of pocket-sized ultrasound devices in ruling out compensated cirrhosis of mixed etiology
ConclusionsPUD reproducibility in assessing LSN was excellent even with operators of different experience. PUD performed very well in excluding advanced CLD. PUD can be used as a first-line tool for screening patients to undergo more invasive techniques, thus shortening the time for clinical decision-making.Key Points•PUD is highly reproducible in assessing the sign of liver surface nodularity.•PUD showed high diagnostic accuracy in excluding the presence of advanced chronic liver disease.•PUD can be used as a first-line tool for screening patients with CLD who should undergo more invasive techniques. (Source: European Radiology)
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Correction to: Safety and efficacy of microwave versus radiofrequency ablation for large hepatic hemangioma: a multicenter retrospective study with propensity score matching
(Source: European Radiology)
Source: European Radiology - March 3, 2022 Category: Radiology Source Type: research

Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
ConclusionAutomatic detection of the contrast phase in multicenter CT data was achieved with high accuracy, minimizing the contrast-induced error in BMD measurements.Key Points• A 2D DenseNet with anatomy-guided slice selection achieved an F1 score of 0.98 and an accuracy of 98.3% in the test set. In a public dataset, an F1 score of 0.93 and an accuracy of 94.2% were obtained.• Automated adjustment for contrast injection improved the accuracy of lumbar bone mineral density measurements (RMSE 18.7 mg/ml vs. 9.45 mg/ml respectively, in the portal-venous phase).• An artificial neural network can reliably reveal the pr...
Source: European Radiology - February 11, 2022 Category: Radiology Source Type: research

CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy
ConclusionsRadiomics signatures based on pre-treatment CT scans can accurately predict tumor response in NSCLC patients after first-line chemotherapy or targeted therapy treatments. Radiomics features could be used as promising prognostic imaging biomarkers in the future.Key PointsThe radiomics signature extracted from baseline CT images in patients with NSCLC can predict response to first-line chemotherapy, targeted therapy, or both treatments with an AUC = 0.746 (95% CI, 0.646 –0.846).The radiomics signature could be used as a new biomarker for quantitative analysis in radiology, which might provide value in decisi...
Source: European Radiology - February 11, 2022 Category: Radiology Source Type: research

Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer
ConclusionsPretreatment DCE-MRI could predict pCR after NAC in patients with TNBC. The nomogram can be used to predict the probability of pCR and may help individualize treatment.Key Points•Pretreatment DCE-MRI findings can predict pathologic complete response (pCR) after neoadjuvant chemotherapy in patients with triple-negative breast cancer.•A nomogram based on the independent predictors of tumor volume measured on DCE-MRI, time to peak, and androgen receptor status could help personalized cancer treatment in TNBC patients. (Source: European Radiology)
Source: European Radiology - February 11, 2022 Category: Radiology Source Type: research

Refining imaging tools to detect advanced fibrosis: could liver surface nodularity address an unmet need in the NAFLD epidemic?
(Source: European Radiology)
Source: European Radiology - February 11, 2022 Category: Radiology Source Type: research

Correction to: Coronary artery assessment in Kawasaki disease with dual-source CT angiography to uncover vascular pathology
(Source: European Radiology)
Source: European Radiology - February 11, 2022 Category: Radiology Source Type: research

Correction to: Intra-scan inter-tissue variability can help harmonize radiomics features in CT
(Source: European Radiology)
Source: European Radiology - February 11, 2022 Category: Radiology Source Type: research