European Journal of Radiology

Journal: European Journal of Radiology

Abbreviation

Eur. J. Radiol.

Publisher

Elsevier

ISSN

0720-048X
1872-7727

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Publications1 - 10 of 20

High-attenuation artifact reduction in breast tomosynthesis using a novel reconstruction algorithm
Dustler, Magnus; Wicklein, Julia; Förnvik, Hannie; et al. (2019)
European Journal of Radiology
4D phase contrast flow imaging for in-stent flow visualization and assessment of stent patency in peripheral vascular stents
Bunck, Alexander C.; Jüttner, Alena; Kröger, Jan R.; et al. (2012)
European Journal of Radiology
Can grating interferometry-based mammography discriminate benign from malignant microcalcifications in fresh biopsy samples?
Forte, Serafino; Wang, Zhentian; Arboleda, Carolina; et al. (2020)
European Journal of Radiology
31P magnetic resonance spectroscopy to measure in vivo cardiac energetics in normal myocardium and hypertrophic cardiomyopathy: Experiences at 3T
Shivu, Ganesh Nallur; Abozguia, Khalid; Phan, Thanh Trung; et al. (2010)
European Journal of Radiology
MR imaging of healthy knees in varying degrees of flexion using a stretchable coil array provides comparable image quality compared to a standard knee coil array
Nordmeyer-Massner, Jurek A.; Prüssmann, Klaas P.; Wyss, Michael; et al. (2016)
European Journal of Radiology
Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study
Becker, Anton S.; Chaitanya, Krishna; Schawkat, Khoschy; et al. (2019)
European Journal of Radiology
Dixon or DWI – Comparing the utility of fat fraction and apparent diffusion coefficient to distinguish between malignant and acute osteoporotic vertebral fractures
Donners, Ricardo; Obmann, Markus M.; Boll, Daniel; et al. (2020)
European Journal of Radiology
Purpose To compare fat fraction (FF) and apparent diffusion coefficient (ADC) as discriminators distinguishing malignant from acute/subacute osteoporotic vertebral fractures. Method 1.5 T MRIs of 42 malignant and 27 acute/subacute osteoporotic vertebral fractures (38 patients) were retrospectively reviewed. Two readers independently classified fractures as malignant or osteoporotic based on conventional imaging morphology. Diagnostic reader confidence was rated as confident or not confident. FF was derived from axial T1 gradient-echo 2-point Dixon MRI. ADC maps were calculated from axial b50 and b900 images. Both readers independently performed ROI measurements of mean FF and ADC of the same fractured vertebrae. FF and ADC values, corresponding ROC curves and optimized cut-off value performance were compared. Inter-reader agreement was analysed by calculation of intraclass correlation coefficients (ICCs). A p-value < 0.05 was deemed significant. Results Mean FF and ADC were significantly lower in malignant (9.5 % and 1.05 × 10−3 mm²/s) compared to osteoporotic fractures (32 % and 1.34 × 10−3 mm²/s, all p < 0.001). The optimal cut-off FF was 11.5 %, detecting malignant fractures with 86 %/89 % sensitivity/specificity. The optimal ADC cut-off of 1.04 × 10−3 mm/s² yielded 62 %/96 % sensitivity/specificity. FF AUC (0.93) was significantly larger than ADC AUC (0.82, p = 0.03). In the subgroup of nine cases reported with low expert reader confidence, the optimized cut-off specificities of FF (83 %) and ADC (83 %) exceeded reader specificity (50 %). There was excellent inter-reader agreement for mean FF (ICC = 0.99) and good agreement for mean ADC (ICC = 0.86) measurements. Conclusion FF and ADC can improve reader specificity to distinguish between malignant and acute or subacute osteoporotic vertebral fractures. As single discriminator, FF was superior to ADC.
Head-to-head comparison of ^[18F] florbetapir and ^[18F] FDG PET for the early detection of amyloidosis in systemic amyloidosis and plasma cell dyscrasias
Kong, Yanyan; Cao, Lei; He, Boyan; et al. (2025)
European Journal of Radiology
Rationale and objectives: Systemic amyloidosis is underdiagnosed in light-chain amyloidosis (AL), as is plasma cell dyscrasias (PCD). Early detection and accurate evaluation of organ involvement in systemic amyloidosis remain critical challenges. We aimed to assess the utility of [^18F]florbetapir (FBP) and [^18F]fluorodeoxyglucose (FDG) positron emission tomography (PET) for the early detection and evaluation of organ involvement in systemic amyloidosis. Materials and methods: We included 66 participants and performed biochemical assays in serum and urine and whole-body PET/computed tomography using [^18F]FBP and [^18F]FDG, followed by visual, maximum standardized uptake value (SUVmax), and target-to-background ratio (TBR) analyses. The clinical evaluation of organ involvement was based on the histological analysis of tissue biopsies obtained from suspected organs in AL and PCD cases. Results: [^18F]FBP SUV_max and TBR analyses revealed comparable uptake in AL patients and significantly greater uptake than in PCD patients. Distinct regional distributions of [^18F]FBP and [^18F]FDG were observed between the PCD and AL groups. The [^18F]FBP SUV_max and visual analysis provided comparable measures of organ involvement and demonstrated high sensitivity, outperforming [^18F]FDG in detecting organ amyloidosis in both PCD and AL patients. More organ involvement was detected by [^18F]FBP PET (SUV_max or visual) than by biopsies based evaluation. Conclusion: [^18F]FBP PET, through both visual and SUV_max analysis, is more sensitive than [^18F]FDG PET and biopsy-based analysis for detecting organ amyloidosis in PCD and AL patients. It serves as a valuable noninvasive method for the early and accurate detection of systemic amyloidosis, with the potential to improve diagnostic precision and facilitate timely intervention in systemic amyloidosis patients.
Comparison of clinically available dynamic susceptibility contrast post processing software to differentiate progression from pseudoprogression in post-treatment high grade glioma
Nierobisch, Nathalie; Ludovichetti, Riccardo; Kadali, Krishna; et al. (2023)
European Journal of Radiology
Introduction: The purpose of this retrospective study was to compare two, widely available software packages for calculation of Dynamic Susceptibility Contrast (DSC) perfusion MRI normalized relative Cerebral Blood Volume (rCBV) values to differentiate tumor progression from pseudoprogression in treated high-grade glioma patients. Material and Methods: rCBV maps processed by Siemens Syngo.via (Siemens Healthineers) and Olea Sphere (Olea Medical) software packages were co-registered to contrast-enhanced T1 (T1-CE). Regions of interest based on T1-CE were transferred to the rCBV maps. rCBV was calculated using mean values and normalized using contralateral normal- appearing white matter. The Wilcoxon test was performed to assess for significant differences, and software-specific optimal rCBV cutoff values were determined using the Youden index. Interrater reliability was evaluated for two raters using the intraclass correlation coefficient. Results: 41 patients (18 females; median age = 59 years; range 21–77 years) with 49 new or size-increasing post-treatment contrast-enhancing lesions were included (tumor progression = 40 lesions; pseudoprogression = 9 lesions). Optimal rCBV cutoffs of 1.31 (Syngo.via) and 2.40 (Olea) were significantly different, with an AUC of 0.74 and 0.78, respectively. Interrater reliability was 0.85. Discussion: We demonstrate that different clinically available MRI DSC-perfusion software packages generate significantly different rCBV cutoff values for the differentiation of tumor progression from pseudoprogression in standard-of-care treated high grade gliomas. Physicians may want to determine the unique value of their perfusion software packages on an institutional level in order to maximize diagnostic accuracy when faced with this clinical challenge. Furthermore, combined with implementation of current DSC-perfusion recommendations, multi-center comparability will be improved.
AI-based automated evaluation of image quality and protocol tailoring in patients undergoing MRI for suspected prostate cancer
Kluckert, Jonas; Hötker, Andreas M.; Da Mutten, Raffaele; et al. (2024)
European Journal of Radiology
Purpose: To develop and validate an artificial intelligence (AI) application in a clinical setting to decide whether dynamic contrast-enhanced (DCE) sequences are necessary in multiparametric prostate MRI. Methods: This study was approved by the institutional review board and requirement for study-specific informed consent was waived. A mobile app was developed to integrate AI-based image quality analysis into clinical workflow. An expert radiologist provided reference decisions. Diagnostic performance parameters (sensitivity and specificity) were calculated and inter-reader agreement was evaluated. Results: Fully automated evaluation was possible in 87% of cases, with the application reaching a sensitivity of 80% and a specificity of 100% in selecting patients for multiparametric MRI. In 2% of patients, the application falsely decided on omitting DCE. With a technician reaching a sensitivity of 29% and specificity of 98%, and resident radiologists reaching sensitivity of 29% and specificity of 93%, the use of the application allowed a significant increase in sensitivity. Conclusion: The presented AI application accurately decides on a patient-specific MRI protocol based on image quality analysis, potentially allowing omission of DCE in the diagnostic workup of patients with suspected prostate cancer. This could streamline workflow and optimize time utilization of healthcare professionals.

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