Nomograms based on preoperative multimodal ultrasound of papillary thyroid carcinoma for predicting central lymph node metastasis
ConclusionThe TTCLNUM nomogram exhibited better predictive performance, especially for the CLNM risk of different PTC tumor sizes. Thus, it serves as a useful clinical tool to supply valuable information for active surveillance and treatment decisions.Key Points•Our preoperative noninvasive and intuitive prediction method can improve the accuracy of central lymph node metastasis (CLNM) risk assessment and guide clinical treatment in line with current trends toward personalized treatments.•Preoperative clinical and multimodal ultrasound features of primary papillary thyroid carcinoma (PTC) tumors and cervical LNs were d...
Source: European Radiology - June 21, 2022 Category: Radiology Source Type: research

Value-based radiology cannot thrive without reforms and research
Key Points•A value-based system aims to achieve improved patient-relevant outcomes without increasing costs.•Value-based radiology cannot thrive as long as volume dominates as the most important metric to reward clinical performance.•Reforms and research are needed to enable radiologists to practice value-based healthcare. (Source: European Radiology)
Source: European Radiology - June 21, 2022 Category: Radiology Source Type: research

Editorial comment: new imaging score for outcome prediction in basilar artery occlusion stroke
(Source: European Radiology)
Source: European Radiology - June 21, 2022 Category: Radiology Source Type: research

Correction to: Ensuring competence in ultrasound-guided procedures —a validity study of a newly developed assessment tool
(Source: European Radiology)
Source: European Radiology - June 21, 2022 Category: Radiology Source Type: research

Correction to: Prostate volume prediction on MRI: tools, accuracy and variability
(Source: European Radiology)
Source: European Radiology - June 21, 2022 Category: Radiology Source Type: research

Correction to: COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data
(Source: European Radiology)
Source: European Radiology - June 21, 2022 Category: Radiology Source Type: research

Combined [18F]FDG-PET with MRI structural patterns in predicting post-surgical seizure outcomes in temporal lobe epilepsy patients
ConclusionCombined PET and structural pattern is helpful to predict the post-surgical seizure outcomes and worse outcomes of Engel III/IV. This might decrease unnecessary surgical injuries to patients who are potentially not amenable to surgery.Key Points•A combined metabolic and structural pattern is helpful to predict the post-surgical seizure outcomes.•Favorable post-surgical seizure outcome was most likely reached in patients whose hypometabolism overlapped with the structural changes.•Hypometabolism in multiple lobes and QA or cortical thickness abnormalities outside the surgical field were predictors of worse s...
Source: European Radiology - June 17, 2022 Category: Radiology Source Type: research

Anterior cruciate ligament foot plate anatomy: 3-dimensional and 2-dimensional MRI evaluation with arthroscopy assessment in a subset of patients
ConclusionsBoth 2D and 3D MRI show inter-reader reliability with small inter-modality mean differences in the measurements from the tibial or inter-meniscal ligament margins.Key Points• The mean differences between 2D and 3D measurements of tibia-ACL and intermeniscal ligament-ACL are small (< 1.2 mm).• As compared to arthroscopy, the mean T-ACL and IML-ACL were closer to measurements from 2D and 3D MRI, respectively.• Both 2D and 3D MRI can be reliably used to delineate ACL foot plate anatomy. (Source: European Radiology)
Source: European Radiology - June 17, 2022 Category: Radiology Source Type: research

IVIM using convolutional neural networks predicts microvascular invasion in HCC
ConclusionsDeep learning with CNN based on IVIM-DWI can be conducive to preoperative prediction of MVI in patients with HCC.Key Points• Deep learning assessment of IVIM data for prediction of MVI in HCC can overcome the unstable and low performance of IVIM parameters.• Deep learning model based on IVIM performs better than parameter values, clinical features, and deep learning model based on parameter maps.• The fusion model combined with deep features of IVIM, clinical characteristics, and ADC yields better performance for prediction of MVI than the model only based on IVIM. (Source: European Radiology)
Source: European Radiology - June 17, 2022 Category: Radiology Source Type: research

Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography
ConclusionPrediction of insufficient contrast enhancement in CT coronary angiography scans can be achieved using machine learning models. Our experiments suggest that test bolus features are strongly predictive of low attenuation values and can be used to further improve patient-specific contrast delivery protocols.Key Points• Prediction of insufficient contrast enhancement in CT coronary angiography scans can be achieved using machine learning models.• The peak height of the test bolus curve is the most impacting feature for the best performing model. (Source: European Radiology)
Source: European Radiology - June 16, 2022 Category: Radiology Source Type: research

Perfluorobutane-enhanced ultrasonography with a Kupffer phase: improved diagnostic sensitivity for hepatocellular carcinoma
ConclusionOn perfluorobutane CEUS, diagnostic criteria for HCC using KP defect with adjustment by grayscale findings had higher diagnostic performance than conventional criteria without losing specificity.Key Points• Applying Kupffer phase defect instead of late/mild washout and adjusting with grayscale findings can improve the diagnostic performance of perfluorobutane-enhanced US for HCC.• Adjustment with ill-defined margins without a hypoechoic halo for features unlikely to be HCC decreases false positives for HCC diagnosis using the perfluorobutane-enhanced US.• After adjustment with grayscale findings, the sensit...
Source: European Radiology - June 16, 2022 Category: Radiology Source Type: research

First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging
ConclusionsThis paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients.Key PointsPCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels.The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT.Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at lo...
Source: European Radiology - June 16, 2022 Category: Radiology Source Type: research

Predicting ultrasound-guided thermal ablation benefit in primary hyperparathyroidism
ConclusionsThe PTH-based classifier may help with individualised treatment planning for selecting patients who may benefit from thermal ablation.Key Points•This is the first analysis of predictors affecting the outcome of US-guided thermal ablation of primary hyperparathyroidism and the findings can be used to identify the potential beneficiary population of thermal ablation of primary hyperparathyroidism.•Parathyroid hormone (PTH) was confirmed as an independent prognostic factor, as it not only showed good accuracy in stratifying patients into high- and low-risk groups in the training and validation cohorts but also ...
Source: European Radiology - June 16, 2022 Category: Radiology Source Type: research

The role of radiology in addressing the challenge of lung cancer after lung transplantation
AbstractThe importance of lung cancer as a complication of lung transplantation is increasingly recognised. It may become an important survival-limiting factor in lung transplant patients as management of other complications continues to improve and utilisation of extended criteria donors grows. Radiology can play a key role in tackling this issue at multiple stages in the transplantation pathway and follow-up process. Routine chest CT as part of pre-transplant recipient assessment (and donor assessment if available) can identify suspicious lung lesions with high sensitivity and detect chronic structural lung diseases such...
Source: European Radiology - June 16, 2022 Category: Radiology Source Type: research

CT-based clinico-radiological nomograms for prognosis prediction in patients with intrahepatic mass-forming cholangiocarcinoma: a multi-institutional study
ConclusionsNomograms based on CT imaging features can provide accurate individual survival prediction for IMCC patients before and after surgery, which may help to improve personalized treatment.Key Points• Imaging features including multiple nodules, arterial enhancement pattern, CT-reported LN metastasis, and capsular retraction were poor independent prognostic factors for IMCC patients.• The imaging-based nomograms presented improved prognostic performance and discrimination compared with the common prognostic models.• The nomograms can provide accurate individual survival prediction for IMCC patients before and a...
Source: European Radiology - June 16, 2022 Category: Radiology Source Type: research