Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study
ConclusionsA multi-parametric MRI-based RS may be used as a non-invasive, dependable, and accurate tool for preoperative evaluation of the Ki-67 proliferation status to overcome the sampling bias in sinonasal malignancies.Key Points• Multi-parametric MRI-based radiomics signatures (RSs) are used to preoperatively evaluate the proliferation status of Ki-67 in sinonasal malignancies.• Radiomics features are determined using maximum relevance minimum redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) algorithms.• RSs are established using a logistic regression (LR) algorithm. (Source: European Radiology)
Source: European Radiology - June 10, 2022 Category: Radiology Source Type: research

Divergent white matter changes in patients with nasopharyngeal carcinoma post-radiotherapy with different outcomes: a potential biomarker for prediction of radiation necrosis
ConclusionsNPC patients with RN had more sharp atrophy in the STG than those with NRN. Temporal WM volume at early-stage post-radiotherapy may serve as an in vivo biomarker to identify and predict RN occurrence.Key Points• The STG had divergent atrophy trajectories in NPC patients with different outcomes (RN vs. NRN) post-radiotherapy.• Although both groups exhibited time-dependent atrophy in the STG, the patients with RN showed a more rapid volume decrease than those with NRN.• Temporal WM volume alteration (or absolute volume) at the early stage could predict RN occurrence at the late-delay stage after radiotherapy...
Source: European Radiology - June 10, 2022 Category: Radiology Source Type: research

Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
ConclusionHarmonization of MR acquisition and post-processing parameters results in acceptable standard deviations for MR/DW imaging. MRI could be the tool in oncologic multicenter trials to overcome the limitations of RECIST-based response evaluation.Key Points•Harmonizing acquisition parameters and post-processing homogenization, standardized protocols result in acceptable standard deviations for multicenter MR –DWI studies.•Total measurement variation does not to exceed 11% for ADC in repeated measurements in repeated MR acquisitions, and below 20% for an identical volunteer travelling between sites.•Radiomic cl...
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Puncture accuracy of an optical tracked robotic aiming device —a phantom study
ConclusionsThe optically tracked iSYS-1 robot allows for precise punctures in a phantom. The StealthStation S7 provided acceptable results and may be helpful for interventions in difficult anatomical regions and for those requiring complex multi-angle trajectories. In combination with our optical navigation tool, the trackable robot unit allows to cover a large treatment field and the compact design facilitates placement of needle-like instruments.Key Points• The use of a robotic targeting device in combination with optical tracking (hybrid system) allows for accurate placement of needle-like instruments without repeated...
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Quantitative CT and machine learning classification of fibrotic interstitial lung diseases
ConclusionsQCT features successfully differentiated pathologically proven UIP, NSIP, and CHP. While QCT-based ML models outperformed a DL model for classifying ILDs, further investigations are warranted to determine if QCT-ML, DL, or a combination will be superior in ILD classification.Key Points• Quantitative CT features successfully differentiated pathologically proven UIP, NSIP, and CHP.• Our quantitative CT-based machine learning models demonstrated high performance in classifying UIP, NSIP, and CHP histopathology, outperforming a deep learning model.• While our quantitative CT-based machine learning models perfo...
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study
ConclusionThe radiomic-clinical model with the SHAP method can be useful for assessing the treatment response of WBRT and may assist clinicians in directing personalized WBRT strategies in an understandable manner.Key Points• Radiomic-clinical model can be useful for assessing the treatment response of WBRT.• SHAP could explain and visualize radiomic-clinical machine learning model in a clinician-friendly way. (Source: European Radiology)
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Association between visual emphysema and lung nodules on low-dose CT scan in a Chinese Lung Cancer Screening Program (Nelcin-B3)
ConclusionIn a Chinese general population, visual emphysema based on LDCT is independently related to the presence of lung nodules ( ≥ 30 mm3) and specifically CLE subtype is related to positive Lung-RADS category. The risk of lung nodules increases with CLE severity.Key Points• Participants with emphysema had an increased risk of having lung nodules, especially smokers.• Participants with PSE were at a higher risk for lung nodules than those with CLE, but nodules in participants with CLE had a higher risk of positive Lung-RADS category.• The risk of lung nodules increases with CLE severity. (Source: European Radiology)
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Nomogram based on CT –derived extracellular volume for the prediction of post-hepatectomy liver failure in patients with resectable hepatocellular carcinoma
ConclusionsThe nomogram contributes to the preoperative prediction of PHLF in patients with resectable HCC.Key Points• CT–derived ECV had a strong correlation with the postoperative pathological fibrosis stage of the background liver.• CT–derived ECV was an independent predictor of PHLF in patients with resectable HCC.•The nomogram based on CT –derived ECV showed a superior prediction efficacy than that of clinical models (including Child–Pugh stage, MELD score, and ALBI score). (Source: European Radiology)
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Evaluation of the T2-weighted (T2W) adrenal MRI calculator to differentiate adrenal pheochromocytoma from lipid-poor adrenal adenoma
ConclusionsT2W signal intensity and heterogeneity differ, subjectively and quantitatively, in pheochromocytoma compared to adenoma. Use of a quantitative T2W adrenal calculator which combines T2W signal intensity ratio and entropy was highly accurate to diagnose pheochromocytoma outperforming subjective analysis.Key Points•Pheochromocytomas have higher T2-weighted signal intensity and are more heterogeneous compared to lipid-poor adrenal adenomas evaluated subjectively and quantitatively.•The quantitative T2-weighted adrenal MRI calculator, a logistic regression model combining T2-weighted signal intensity ratio and en...
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Prognostic value of ASPECTS on post-treatment diffusion-weighted imaging for acute ischemic stroke patients after endovascular thrombectomy: comparison with infarction volume
ConclusionsPost-treatment DWI ASPECTS might be a potential surrogate of infarction volume and be effective in predicting the clinical outcome of AIS patients after EVT.Key Points• Post-treatment DWI ASPECTS correlated significantly with infarction volume.• A post-treatment DWI ASPECTS ≥ 6 best predicts good outcomes for AIS patients after EVT.• Post-treatment DWI ASPECTS has the potential in substituting infarction volume in predicting the clinical outcome of AIS patients. (Source: European Radiology)
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Clinical validation of an AI-based motion correction reconstruction algorithm in cerebral CT
ConclusionsThe AI-based MC reconstruction algorithm has been clinically validated for reducing motion artifacts and improving diagnostic performance of cerebral CT.Key Points• An artificial intelligence–based motion correction (MC) reconstruction algorithm has been clinically validated in both qualitative and quantitative manner.• The MC algorithm reduces motion artifacts in cerebral CT and increases the diagnostic confidence for brain lesions.• The MC algorithm can help avoiding rescans caused by motion and improving the efficiency of cerebral CT in the emergency department. (Source: European Radiology)
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

Rotational abnormalities in dysplastic hips and how to predict acetabular torsion
ConclusionAlthough the femoral and acetabular torsion cannot be predicted from x-rays, the anteversion of the acetabulum correlates with the acetabular index angle, the hip lateralization index, and eventually the beta angle in dysplastic hips. For borderline-dysplastic hips, such results did not show up, which strongly illustrates the need for computed tomography in these cases.Key Points• Much of the current literature focuses on rotational alignment especially with respect to the femur and tibia in healthy patients, although little is known about the acetabular, femoral, and tibial torsion in dysplastic hips.• This ...
Source: European Radiology - June 9, 2022 Category: Radiology Source Type: research

A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation
ConclusionsDL-based analysis that combines multimodal radiomics features with clinical and imaging features may help to differentiate between OAL and IOI.Key Points• It is difficult to differentiate OAL from IOI due to the overlap in clinical and imaging manifestations.• Radiomics has shown potential for noninvasive diagnosis of different orbital lymphoproliferative disorders.• DL-based analysis combining radiomics and imaging and clinical features may help the differentiation between OAL and IOI. (Source: European Radiology)
Source: European Radiology - June 8, 2022 Category: Radiology Source Type: research

Use of deep learning-based radiomics to differentiate Parkinson ’s disease patients from normal controls: a study based on [18F]FDG PET imaging
ConclusionsWe developed a DLR model based on [18F]FDG PET images that showed good performance in the noninvasive, individualized prediction of PD and was superior to traditional handcrafted methods. This model has the potential to guide and facilitate clinical diagnosis and contribute to the development of precision treatment.Key PointsThe DLR method on [18F]FDG PET images helps clinicians to diagnose PD and PD subgroups from normal controls.A prospective two-center study showed that the DLR method provides greater diagnostic accuracy. (Source: European Radiology)
Source: European Radiology - June 8, 2022 Category: Radiology Source Type: research

Health effects related to exposure of static magnetic fields and acoustic noise —comparison between MR and CT radiographers
ConclusionNo significant differences in symptom prevalence were seen between MR and CT radiographers. However, working at 3T increased the risk of SMF symptoms, and stress increased adverse health effects. Noise nuisance was considered more problematic by CT than MR personnel.Key Points•No significant differences in symptom prevalence were seen between MR and CT radiographers.•Working at ≥ 3 T doubled the odds of experiencing SMF symptoms (vertigo/dizziness, nausea, metallic taste, and/or illusion of movement) as compared to working exclusively at ≤ 1.5 T.•Work-related acoustic noise was less well mitigated and w...
Source: European Radiology - June 8, 2022 Category: Radiology Source Type: research