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Qualitative and quantitative image quality of coronary CT angiography using photon-counting computed tomography: Standard and Ultra-high resolution protocols Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-12 Borbála Vattay, Melinda Boussoussou, Milán Vecsey-Nagy, Márton Kolossváry, Dénes Juhász, Nóra Kerkovits, Hanna Balogh, Norbert Nagy, Miklós Vértes, Máté Kiss, Anikó Kubovje, Béla Merkely, Pál Maurovich Horvat, Bálint Szilveszter
We aimed to identify the optimal reconstruction settings based on qualitative and quantitative image quality parameters on standard and ultra-high resolution (UHR) images using photon-counting CT (PCCT). We analysed 45 patients, 29 with standard and 16 with UHR acquisition, applying both smoother and sharper kernel settings. Coronary CT angiography images were performed on a dual-source PCCT system
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Occupational orthopedic problems and its relation to personal radiation protection in interventional radiology Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-11 A.M. Koenig, L. Froehlich, S. Viniol, R.P. Thomas, A.H. Mahnken
Several studies report occupational orthopedic problems among interventional cardiologists. These health problems are usually multifactorial. However, the personal protective equipment used should play a major role. An online survey was conducted to determine the frequency of such health problems among interventional radiologists and to correlate them with the use of personal radiation protective clothing
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Primary staging of rectal cancer on MRI: an updated pictorial review with focus on common pitfalls and current controversies Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-11 A. Salmerón-Ruiz, D. Luengo Gómez, A. Medina Benítez, A.J. Láinez Ramos-Bossini
Magnetic resonance imaging (MRI) plays a pivotal role in primary staging of rectal cancer, enabling the determination of appropriate management strategies and prediction of patient outcomes. However, inconsistencies and pitfalls exist in various aspects, including rectal anatomy, MRI protocols and strategies for artifact resolution, as well as in T- and N-staging, all of which limit the diagnostic
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Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-09 Robert Terzis, Thomas Dratsch, Robert Hahnfeldt, Lajos Basten, Philip Rauen, Kristina Sonnabend, Kilian Weiss, Robert Reimer, David Maintz, Andra-Iza Iuga, Grischa Bratke
To investigate the potential of combining Compressed Sensing (CS) and a newly developed AI-based super resolution reconstruction prototype consisting of a series of convolutional neural networks (CNN) for a complete five-minute 2D knee MRI protocol. In this prospective study, 20 volunteers were examined using a 3T-MRI-scanner (Ingenia Elition X, Philips). Similar to clinical practice, the protocol
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Differentiation of testicular seminomas from nonseminomas based on multiphase CT radiomics combined with machine learning: A multicenter study Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-07 Fuxiang Fang, Linfeng Wu, Xing Luo, Huiping Bu, Yueting Huang, Yong xian Wu, Zheng Lu, Tianyu Li, Guanglin Yang, Yutong Zhao, Hongchao Weng, Jiawen Zhao, Chenjun Ma, Chengyang Li
Differentiating seminomas from nonseminomas is crucial for formulating optimal treatment strategies for testicular germ cell tumors (TGCTs). Therefore, our study aimed to develop and validate a clinical-radiomics model for this purpose. In this study, 221 patients with TGCTs confirmed by pathology from four hospitals were enrolled and classified into training (n = 126), internal validation (n = 55)
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Development of a Multi-Parametric ultrasonography nomogram for prediction of invasiveness in ductal carcinoma in situ Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-06 Qinghua Niu, Hui Li, Lianfang Du, Ruitao Wang, Jun Lin, An Chen, Chao Jia, Lifang Jin, Fan Li
To investigate the independent risk variables associated with the potential invasiveness of ductal carcinoma (DCIS) on multi-parametric ultrasonography, and further construct a nomogram for risk assessment. Consecutive patients from January 2017 to December 2022 who were suspected of having ductal carcinoma (DCIS) based on magnetic resonance imaging or mammography were prospectively enrolled. Histopathological
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Magnetic resonance imaging-based deep learning imaging biomarker for predicting functional outcomes after acute ischemic stroke Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-03 Tzu-Hsien Yang, Ying-Ying Su, Chia-Ling Tsai, Kai-Hsuan Lin, Wei-Yang Lin, Sheng-Feng Sung
Clinical risk scores are essential for predicting outcomes in stroke patients. The advancements in deep learning (DL) techniques provide opportunities to develop prediction applications using magnetic resonance (MR) images. We aimed to develop an MR-based DL imaging biomarker for predicting outcomes in acute ischemic stroke (AIS) and evaluate its additional benefit to current risk scores. This study
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Publication pressure in medical imaging Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-02 Robert M. Kwee, Romy Toxopeus, Thomas C. Kwee
To investigate the degree of perceived publication pressure in medical imaging. Corresponding authors who published an article in one of the top 12 general radiology journals were invited to complete a survey about publication pressure. The revised Publication Pressure Questionnaire (PPQr) was used. Higher PPQr scores (5-point Likert scale) indicate a more negative view towards the various domains
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Explainable AI-based Deep-SHAP for mapping the multivariate relationships between regional neuroimaging biomarkers and cognition Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-02 Puskar Bhattarai, Deepa Singh Thakuri, Yuzheng Nie, Ganesh B. Chand
Mild cognitive impairment (MCI)/Alzheimer's disease (AD) is associated with cognitive decline beyond normal aging and linked to the alterations of brain volume quantified by magnetic resonance imaging (MRI) and amyloid-beta (Aβ) quantified by positron emission tomography (PET). Yet, the complex relationships between these regional imaging measures and cognition in MCI/AD remain unclear. Explainable
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Multi-task reconstruction network for synthetic diffusion kurtosis imaging: Predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-02 Qiong Ma, Zonglin Liu, Jiadong Zhang, Caixia Fu, Rong Li, Yiqun Sun, Tong Tong, Yajia Gu
To assess the feasibility and clinical value of synthetic diffusion kurtosis imaging (DKI) generated from diffusion weighted imaging (DWI) through multi-task reconstruction network (MTR-Net) for tumor response prediction in patients with locally advanced rectal cancer (LARC). In this retrospective study, 120 eligible patients with LARC were enrolled and randomly divided into training and testing datasets
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Whole-lesion assessment of volume and signal changes after sclerotherapy of extremity venous malformations Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-01 Adham Khalil, Amanda Laguna, Tej I Mehta, Prateek C Gowda, Anna J Gong, Robert M Weinstein, Tushar Garg, Natalie Y Ring, Ryan W England, Marius George Linguraru, Craig K Jones, Clifford R Weiss
To investigate quantitative changes in MRI signal intensity (SI) and lesion volume that indicate treatment response and correlate these changes with clinical outcomes after percutaneous sclerotherapy (PS) of extremity venous malformations (VMs). VMs were segmented manually on pre- and post-treatment T2-weighted MRI using 3D Slicer to assess changes in lesion volume and SI. Clinical outcomes were scored
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Bronchial arterial chemoembolization with Drug-Eluting beads plus sequential chemotherapy for the treatment of stage III and IV lung squamous cell carcinoma Eur. J. Radiol. (IF 3.3) Pub Date : 2024-03-01 Linqiang Lai, Fenfen Xu, Dengke Zhang, Jie Chen, Xihui Ying, Li Chen, Jiahao Wu, Jingjing Song, Weiwen Li, Jiansong Ji, Jianfei Tu
This retrospective study aimed to investigate the effectiveness and safety of bronchial arterial chemoembolization with drug-eluting beads (DEB-BACE) plus chemotherapy chemotherapy alone in patients with stage III and IV lung squamous cell carcinoma (LSCC) who are not appropriate candidates for radiochemotherapy. In this retrospective analysis, we screened all adult patients undergoing either DEB-BACE
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Association of epicardial adipose tissue with early structural and functional cardiac changes in Type 2 diabetes Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-29 Sarah L. Ayton, Jian L. Yeo, Gaurav S. Gulsin, Abhishek Dattani, Joanna Bilak, Aparna Deshpande, J. Ranjit Arnold, Anvesha Singh, Matthew P.M. Graham-Brown, Leong Ng, Donald Jones, Piotr Slomka, Damini Dey, Alastair J. Moss, Emer M. Brady, Gerry P. McCann
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Trials of endovascular thrombectomy of basilar-artery occlusion compared to real-life data Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-28 Nicolaj Grønbæk Laugesen, Andreas Hjelm Brandt, Christoffer Hansen, Trine Stavngaard, Klaus Hansen, Thomas Truelsen
Two recent clinical trials showed mechanical thrombectomy (MT) of basilar-artery occlusions (BAO) in stroke to be safe and effective: Endovascular Treatment for Acute BAO (ATTENTION) and BAO Chinese Endovascular (BAOCHE). The trials restricted patient inclusion on both age and pre-stroke mRS, and with both trials conducted in China, population differences may affect generalisability of the trial results
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Body oncologic imaging subspecialty training a curriculum based on the experience in a tertiary cancer center Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-28 Anton S. Becker, Jeeban P. Das, Sungmin Woo, Camila Vilela de Oliveira, Charlotte Charbel, Rocio Perez-Johnston, Hebert Alberto Vargas
To describe the structure of a dedicated body oncologic imaging fellowship program. To summarize the numbers and types of cross-sectional imaging examinations reported by fellows. The curriculum, training methods, and assessment measures utilized in the program were reviewed and described. An educational retrospective analysis was conducted. Data on the number of examinations interpreted by fellows
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Predictive value of contrast-enhanced ultrasonography and ultrasound elastography for management of BI-RADS category 4 nonpalpable breast masses Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-28 Qinghua Niu, Lei Zhao, Ruitao Wang, Lianfang Du, Qiusheng Shi, Chao Jia, Gang Li, Lifang Jin, Fan Li
The objective of this study was to investigate the independent risk factors and associated predictive values of contrast-enhanced ultrasound (CEUS), shear wave elastography (SWE), and strain elastography (SE) for high-risk lesions (HRL) and malignant tumors (MT) among nonpalpable breast masses classified as BI-RADS category 4 on conventional ultrasound. This prospective study involved consecutively
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Deep learning performance compared to healthcare experts in detecting wrist fractures from radiographs: A systematic review and meta-analysis Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-27 V. Hansen, J. Jensen, M.W. Kusk, O. Gerke, H.B. Tromborg, S. Lysdahlgaard
To perform a systematic review and meta-analysis of the diagnostic accuracy of deep learning (DL) algorithms in the diagnosis of wrist fractures (WF) on plain wrist radiographs, taking healthcare experts consensus as reference standard. Embase, Medline, PubMed, Scopus and Web of Science were searched in the period from 1 Jan 2012 to 9 March 2023. Eligible studies were patients with wrist radiographs
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Quantitative and qualitative evaluation of three MSCT for high resolution bone imaging Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-24 Jean-Philippe Dillenseger, Romain Gillet, Matthias Louis, Justin Bach, Cléa Sieffert, Laurence Meylheuc, Clément Palpacuer, Guillaume Bierry, Julien Garnon, Alain Blum
Strategies for achieving high resolution varies between manufacturers. In CT, the helical mode with narrow collimation has long been considered as the gold standard for high-resolution imaging. More recently, incremental modes with small dexels and focal spot, have been developed but have not been compared with helical acquisitions under optimal conditions. The aim of this work is to compare the high-resolution
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Explaining explainability: The role of XAI in medical imaging Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-23 João Abrantes, Pouria Rouzrokh
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Deep learning algorithm applied to plain CT images to identify superior mesenteric artery abnormalities Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-23 Junhao Mei, Hui Yan, Zheyu Tang, Zeyu Piao, Yuan Yuan, Yang Dou, Haobo Su, Chunfeng Hu, Mingzhu Meng, Zhongzhi Jia
Atypical presentations, lack of biomarkers, and low sensitivity of plain CT can delay the diagnosis of superior mesenteric artery (SMA) abnormalities, resulting in poor clinical outcomes. Our study aims to develop a deep learning (DL) model for detecting SMA abnormalities in plain CT and evaluate its performance in comparison with a clinical model and radiologist assessment. A total of 1048 patients
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Artificial intelligence and explanation: How, why, and when to explain black boxes Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-23 Eric Marcus, Jonas Teuwen
Artificial intelligence (AI) is infiltrating nearly all fields of science by storm. One notorious property that AI algorithms bring is their so-called black box character. In particular, they are said to be inherently unexplainable algorithms. Of course, such characteristics would pose a problem for the medical world, including radiology. The patient journey is filled with explanations along the way
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Validation of artificial intelligence contrast mammography in diagnosis of breast cancer: Relationship to histopathological results Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-23 Maha Helal, Rana Khaled, Omar Alfarghaly, Omnia Mokhtar, Abeer Elkorany, Aly Fahmy, Hebatalla El Kassas
Contrast-enhanced mammography (CEM) is used for characterization of breast lesions with increased diagnostic accuracy compared to digital mammography (DM). Artificial intelligence (AI) approaches are emerging with accuracies equal to an average radiologist. However, most studies trained deep learning (DL) models on DM images and there is a paucity in literature for discovering the application of AI
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Reproducibility Assessment of Rapid Strains in Cardiac MRI: Insights and Recommendations for Clinical Application Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-23 Moritz C. Halfmann, Luuk H.G.A. Hopman, Hermann Körperich, Edyta Blaszczyk, Jan Gröschel, Jeanette Schulz-Menger, Janek Salatzki, Florian André, Silke Friedrich, Tilman Emrich
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Radiologic findings of osteonecrosis, osteoradionecrosis, osteomyelitis and jaw metastatic disease with cone beam CT Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-22 Zafeiroula Yfanti, Sotirios Tetradis, Nikolaos G. Nikitakis, Konstantina Eleni Alexiou, Nikolaos Makris, Christos Angelopoulos, Kostas Tsiklakis
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Pancreatic cancer in photon-counting CT: Low keV virtual monoenergetic images improve tumor conspicuity Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-18 Matthias Michael Woeltjen, Julius Henning Niehoff, Ruth Roggel, Arwed Elias Michael, Berthold Gerdes, Alexey Surov, Jan Borggrefe, Jan Robert Kroeger
The aim of the study was to identify differences in the tumor conspicuity of pancreatic adenocarcinomas in different monoenergetic or polyenergetic reconstructions and contrast phases in photon-counting CT (PCCT). 34 patients were retrospectively enrolled in this study. Quantitative image analysis was performed with region of interest (ROI) measurements in different monoenergetic levels ranging from
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Diagnostic value of liver stiffness measurement combined with risk scores for esophagogastric variceal bleeding in patients with hepatitis B cirrhosis Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-18 Li-Yan Lin, Da-Wu Zeng, Yu-Rui Liu, Yue-Yong Zhu, Ling-Ling Huang
To assess the predictive value of liver stiffness measurement (LSM) and three bleeding risk scoring systems for esophagogastric varices bleeding (EGVB) in patients with hepatitis B cirrhosis during hospitalization. In this study, 210 patients who had hepatitis B cirrhosis were selected as the subjects. They were categorized into two groups based on whether EGVB occurred during hospitalization: a bleeding
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Clinical, qualitative imaging biomarkers, and tumor oxygenation imaging biomarkers for differentiation of midline-located IDH wild-type glioblastomas and H3 K27-altered diffuse midline gliomas in adults Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-18 Yongsik Sim, Seo Hee Choi, Narae Lee, Yae Won Park, Sung Soo Ahn, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee
To compare the clinical, qualitative and quantitative imaging phenotypes, including tumor oxygenation characteristics of midline-located IDH-wildtype glioblastomas (GBMs) and H3 K27-altered diffuse midline gliomas (DMGs) in adults. Preoperative MRI data of 55 adult patients with midline-located IDH-wildtype GBM or H3 K27-altered DMG (32 IDH-wildtype GBM and 23 H3 K27-altered DMG patients) were included
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Establishment of Diagnostic Reference Levels in Portuguese Interventional Radiology departments Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-18 Andrea Pimenta, Luís Azevedo, Isabel Ramos, Joana Santos
To establish Portuguese Diagnostic Reference Levels (DRLs), for six body fluoroscopy guided interventional procedures (FGIP). A retrospective study was conducted in five interventional departments most representative of Interventional Radiology (IR) practice. Dose values, in terms of air kerma area product (P in Gy.cm), air kerma at the patient entrance reference point (K in mGy), and exposure parameters
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Correlation between breast cancer and background parenchymal uptake on 18F-fluorodeoxyglucose positron emission tomography Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-17 Atsushi Shimizu, Yu Iwabuchi, Jitsuro Tsukada, Takehiro Nakahara, Ryosuke Sakurai, Kai Tonda, Masahiro Jinzaki
This study aimed to investigate differences in background parenchymal uptake (BPU) between patients with and without breast cancer using 18F-fluorodeoxyglucose positron emission tomography. Female patients (n = 130, 62.9 ± 12.7 years) with newly diagnosed breast cancer and 50 healthy participants (59.6 ± 13.3 years) without breast cancer were retrospectively included. BPU was evaluated using the maximum
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The correlation between CT perfusion deficits and immediate post-endovascular treatment contrast extravasation on dual energy CT in acute ischemic stroke patients Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-17 M.M.Q. Robbe, F.M.E. Pinckaers, R.J. van Oostenbrugge, W.H. van Zwam, A.A. Postma
After endovascular therapy (EVT) for ischemic stroke, post-EVT CT imaging often shows areas of contrast extravasation (CE) caused by blood brain barrier disruption (BBBD). Before EVT, CT-perfusion (CTP) can be used to estimate salvageable tissue (penumbra) and irrevocably damaged infarction (core). In this study, we aimed to correlate CTP deficits to CE, as a surrogate marker for BBBD, after EVT for
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Preeclampsia/eclampsia impacts the structure and function of neonatal hearts probably by reducing myocardial compaction Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-17 Zexin Li, Jinxiu Zhu, Yequn Chen, Fengxiang Wei, Jinying Yang, Xuerui Tan
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The association between fetal intracranial hemorrhages detected on MRI and neurodevelopment Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-17 Katorza Eldad, Gutman Ya'ara, Lassman Simon, Bar-Yosef Omer
Fetal intracranial hemorrhage is rarely identified in prenatal imaging. When identified, sparse data regarding neurodevelopmental outcomes worsens prenatal dilemmas. This MRI-based study aimed to assess prenatal characteristics and neurodevelopmental outcomes of fetal intracranial hemorrhage. A historical cohort study which identified fetal intracranial hemorrhage in 22 individual fetal MRI scans,
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Reading room assistants to reduce workload and interruptions of radiology residents during on-call hours: Initial evaluation Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-17 Ton Velleman, Sandra Hein, Rudi A.J.O. Dierckx, Walter Noordzij, Thomas C. Kwee
To determine how much timesaving and reduction of interruptions reading room assistants can provide by taking over non-image interpretation tasks (NITs) from radiology residents during on-call hours. Reading room assistants are medical students who were trained to take over NITs from radiology residents (e.g. answering telephone calls, administrative tasks and logistics) to reduce residents’ workload
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A comparative study of image quality and diagnostic confidence in diagnosis and follow-up of scaphoid fractures using photon-counting detector CT and energy-integrating detector CT Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-17 Nina Kämmerling, Erik Tesselaar, Ronald Booij, Lotta Fornander, Anders Persson, Simon Farnebo
Scaphoid fractures in patients and assessment of healing using PCD-CT have, as far as we know, not yet been studied. Therefore, the aim was to compare photon counting detector CT (PCD-CT) with energy integrating detector CT (EID-CT) in terms of fracture visibility and evaluation of fracture healing. Eight patients with scaphoid fracture were examined with EID-CT and PCD-CT within the first week post-trauma
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Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure – How low can we go? Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-16 Philipp Schindler, Mirjam Gerwing
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Towards clinical implementation of an AI-algorithm for detection of cervical spine fractures on computed tomography Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-16 Huibert C. Ruitenbeek, Edwin H.G. Oei, Bart L. Schmahl, Eelke M. Bos, Rob J.C.G. Verdonschot, Jacob J. Visser
Artificial intelligence (AI) applications can facilitate detection of cervical spine fractures on CT and reduce time to diagnosis by prioritizing suspected cases. To assess the effect on time to diagnose cervical spine fractures on CT and diagnostic accuracy of a commercially available AI application. In this study (June 2020 - March 2022) with historic controls and prospective evaluation, we evaluated
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MRI only detected lesions: Can contrast enhanced mammography guided biopsy be an alternative method: Initial clinical findings Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-15 Erkin Aribal, Nilgun Guldogan, Mustafa Ege Seker, Ebru Yilmaz, Ebru Banu Turk
This study aims to analyze our initial findings regarding CEM-guided stereotactic vacuum-assisted biopsy for MRI-only detected lesions and compare biopsy times by MRI-guided biopsy. In this retrospective analysis, CEM-guided biopsies of MRI-only detected breast lesions from December 2021 to June 2023were included. Patient demographics, breast density, lesion size, background parenchymal enhancement
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iSPAN: Explainable prediction of outcomes post thrombectomy with Machine Learning Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-15 Brendan S. Kelly, Prateek Mathur, Silvia D. Vaca, John Duignan, Sarah Power, Edward H. Lee, Yuhao Huang, Laura M. Prolo, Kristen W. Yeom, Aonghus Lawlor, Ronan P. Killeen, John Thornton
This study aimed to develop and evaluate a machine learning model and a novel clinical score for predicting outcomes in stroke patients undergoing endovascular thrombectomy. This retrospective study included all patients aged over 18 years with an anterior circulation stroke treated at a thrombectomy centre from 2010 to 2020 with external validation. The primary outcome was day 90 mRS ≥3. Existing
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Design and validation of a decision support checklist for efficient resource allocation in research projects during proposal preparation Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-14 Ana Penadés-Blasco, Leonor Cerdá-Alberich, José Miguel Carot Sierra, Angel Alberich-Bayarri, Ainhoa Genovés Martínez, Rita Diranzo Añó, Cristina Clemente Parrilla, Juan Maria Soriano Llobera, David Vivas Consuelo, Luis Martí-Bonmatí
This article presents the design and validation of evaluation criteria checklist aimed at facilitating decision-making processes regarding participation in research projects and allocation of resources before the preparation of research proposals. A multidisciplinary team developed a comprehensive evaluation focusing on the proposal preparation phase of research projects. A Delphi survey method was
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AI-based automated detection and stability analysis of traumatic vertebral body fractures on computed tomography Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-13 Constanze Polzer, Eren Yilmaz, Carsten Meyer, Hyungseok Jang, Olav Jansen, Cristian Lorenz, Christian Bürger, Claus-Christian Glüer, Sam Sedaghat
We developed and tested a neural network for automated detection and stability analysis of vertebral body fractures on computed tomography (CT). 257 patients who underwent CT were included in this Institutional Review Board (IRB) approved study. 463 fractured and 1883 non-fractured vertebral bodies were included, with 190 fractures unstable. Two readers identified vertebral body fractures and assessed
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External validation of the RSNA 2020 pulmonary embolism detection challenge winning deep learning algorithm Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-13 Eline Langius-Wiffen, Derk J Slotman, Jorik Groeneveld, Jochen AC van Osch, Ingrid M Nijholt, Erwin de Boer, Jacqueline Nijboer-Oosterveld, Wouter B Veldhuis, Pim A de Jong, Martijn F Boomsma
To evaluate the diagnostic performance and generalizability of the winning DL algorithm of the RSNA 2020 PE detection challenge to a local population using CTPA data from two hospitals. Consecutive CTPA images from patients referred for suspected PE were retrospectively analysed. The winning RSNA 2020 DL algorithm was retrained on the RSNA-STR Pulmonary Embolism CT (RSPECT) dataset. The algorithm was
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Prediction of bowel necrosis by reduced bowel wall enhancement in closed-loop small bowel obstruction: Quantitative methods Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-13 Bing-Qi Li, Wei-Jun Qi, Meng Yuan, Hang-Yan Wang, Ming Chen, Ji-An Lei, Meng Meng, Qi Li, Lei Li, Bin Jiang, Zhao-Lai Ma, Dian-Rong Xiu, Chun-Hui Yuan
To assess diagnostic performance and reproducibility of reduced bowel wall enhancement evaluated by quantitative methods using CT to identify bowel necrosis among closed-loop small bowel obstruction (CL-SBO) patients. This retrospective single-center study included patients who diagnosed with CL-SBO caused by adhesion or internal hernia during January 2016 and May 2022. Patients were divided into necrotic
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Ultrashort VIBE-Dixon versus Cine and late gadolinium enhancement MRI sequences for cardiac thrombus detection Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-09 Martin Soschynski, Fabio Capilli, Muhammad Taha Hagar, Philipp Ruile, Manuel Hein, Matthias Benndorf, Jana Taron, Christopher L. Schlett, Fabian Bamberg, Tobias Krauss
To determine the diagnostic accuracy of volumetric interpolated breath-hold examination sequences with fat suppression in Dixon technique (VIBE-Dixon) for cardiac thrombus detection. From our clinical database, we retrospectively identified consecutive patients between 2014 and 2022 who had definite diagnosis or exclusion of cardiac thrombus confirmed by an independent adjudication committee, serving
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Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-05 Esma Cerekci, Deniz Alis, Nurper Denizoglu, Ozden Camurdan, Mustafa Ege Seker, Caner Ozer, Muhammed Yusuf Hansu, Toygar Tanyel, Ilkay Oksuz, Ercan Karaarslan
Explainable Artificial Intelligence (XAI) is prominent in the diagnostics of opaque deep learning (DL) models, especially in medical imaging. Saliency methods are commonly used, yet there's a lack of quantitative evidence regarding their performance. To quantitatively evaluate the performance of widely utilized saliency XAI methods in the task of breast cancer detection on mammograms. Three radiologists
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Comparison of the accuracy of commercial two-point and multi-echo Dixon MRI for quantification of fat in liver, paravertebral muscles, and vertebral bone marrow Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-05 Tobias Haueise, Fritz Schick, Norbert Stefan, Jürgen Machann
Excess fat accumulation contributes significantly to metabolic dysfunction and diseases. This study aims to systematically compare the accuracy of commercially available Dixon techniques for quantification of fat fraction in liver, skeletal musculature, and vertebral bone marrow (BM) of healthy individuals, investigating biases and sex-specific influences. 100 healthy White individuals (50 women) underwent
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The T1-dark-rim: A novel imaging sign for detecting smoldering inflammation in multiple sclerosis Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-05 Pablo Naval-Baudin, Albert Pons-Escoda, Albert Castillo-Pinar, Ignacio Martínez-Zalacaín, Pablo Arroyo-Pereiro, Susanie Flores-Casaperalta, Francis Garay-Buitron, Nahum Calvo, Antonio Martinez-Yélamos, Mónica Cos, Sergio Martínez-Yélamos, Carles Majós
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Diagnostic improvements of calcium-removal image reconstruction algorithm using photon-counting detector CT for calcified coronary lesions Eur. J. Radiol. (IF 3.3) Pub Date : 2024-01-30 Takahiro Nishihara, Toru Miyoshi, Mitsutaka Nakashima, Noriaki Akagi, Yusuke Morimitsu, Tomohiro Inoue, Takashi Miki, Masatoki Yoshida, Hironobu Toda, Kazufumi Nakamura, Shinsuke Yuasa
Objective To investigate the diagnostic performance of a calcium-removal image reconstruction algorithm with photon-counting detector-computed tomography (PCD-CT), a technology that hides only the calcified plaque from the spectral data in coronary calcified lesions. Methods This retrospective study included 17 patients who underwent PCD-coronary CT angiography (CCTA) with at least one significant
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Deep learning-based algorithms for low-dose CT imaging: A review Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-03 Hongchi Chen, Qiuxia Li, Lazhen Zhou, Fangzuo Li
The computed tomography (CT) technique is extensively employed as an imaging modality in clinical settings. The radiation dose of CT, however, is significantly high, thereby raising concerns regarding the potential radiation damage it may cause. The reduction of X-ray exposure dose in CT scanning may result in a significant decline in imaging quality, thereby elevating the risk of missed diagnosis
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FDG PET/CT may replace bone marrow biopsy for the evaluation of bone marrow involvement in selected mature T- and natural killer-cell lymphomas: A meta-analysis Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-02 Linlin Guo, Rang Wang, Naifeng Hou, Anren Kuang, Guohua Shen
To systematically determine the role of FDG PET/CT for the diagnosis of bone marrow involvement in mature T- and natural killer (NK)-cell lymphomas. The PubMed, Embase and Cochrane Library databases were searched to identify eligible studies. Data extraction and quality assessment were independently conducted. Then, pooled diagnostic performance with the 95 % confidence interval (CI) was calculated
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Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-02 José Neves, Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Anderson Maciel, Andrew Duchowski, Joaquim Jorge, Catarina Moreira
X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the global population lacks access to this essential technology due to a shortage of trained radiologists. Eye-tracking data and deep learning models can enhance X-ray analysis by mapping expert focus areas, guiding automated anomaly detection, optimizing workflow efficiency, and bolstering training methods for
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Impact of different reconstruction algorithms and setting parameters on radiomics features of PSMA PET images: A preliminary study Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-02 Masoomeh Fooladi, Yunus Soleymani, Arman Rahmim, Saeed Farzanefar, Farahnaz Aghahosseini, Negisa Seyyedi, Peyman Sh.Zadeh
Radiomics analysis of oncologic positron emission tomography (PET) images is an area of significant activity and potential. The reproducibility of radiomics features is an important consideration for routine clinical use. This preliminary study investigates the robustness of radiomics features in PSMA-PET images across penalized-likelihood (Q.Clear) and standard ordered subset expectation maximization
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Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-02 Xiaojuan He, Yang Xu, Chaoyang Zhou, Rao Song, Yangyang Liu, Haiping Zhang, Yudong Wang, Qianrui Fan, Dawei Wang, Weidao Chen, Jian Wang, Dajing Guo
To develop a deep learning (DL) model based on preoperative contrast-enhanced computed tomography (CECT) images to predict microvascular invasion (MVI) and pathological differentiation of hepatocellular carcinoma (HCC). This retrospective study included 640 consecutive patients who underwent surgical resection and were pathologically diagnosed with HCC at two medical institutions from April 2017 to
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Ct-based intratumoral and peritumoral radiomics for predicting prognosis in osteosarcoma: A multicenter study Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-02 Qiushi Su, Ning Wang, Bingyan Wang, Yanmei Wang, Zhengjun Dai, Xia Zhao, Xiaoli Li, Qiyuan Li, Guangjie Yang, Pei Nie
To evaluate the performance of CT-based intratumoral, peritumoral and combined radiomics signatures in predicting prognosis in patients with osteosarcoma. The data of 202 patients (training cohort:102, testing cohort:100) with osteosarcoma admitted to the two hospitals from August 2008 to February 2022 were retrospectively analyzed. Progression free survival (PFS) and overall survival (OS) were used
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MRI characterization of pelvic floor ligaments in nulliparous women: Technique development and morphometry within the 3D pelvic inclination correction system (3D-PICS) Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-02 Lea Matter, Monika Hebeisen, Stephan Beintner-Skawran, Cäcilia S. Reiner, Cornelia Betschart
The aim of the MRI-study was to evaluate the visibility of the pelvic floor ligaments and to analyze the ligament morphometry in 3D space. Twenty-two nulliparous women underwent MRI with a ligament specific protocol. MR datasets were evaluated using the 3D Pelvic Inclination Correction System (3D-PICS). The round ligament (RL), sacrospinous ligament (SSL), sacrotuberous ligament (STL), urogenital diaphragm
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Initial experience with a next-generation low-field MRI scanner: Potential for breast imaging? Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-01 Matthias Dietzel, Frederik B. Laun, Rafael Heiß, Evelyn Wenkel, Sebastian Bickelhaupt, Carolin Hack, Michael Uder, Sabine Ohlmeyer
Broader clinical adoption of breast magnetic resonance imaging (MRI) faces challenges such as limited availability and high procedural costs. Low-field technology has shown promise in addressing these challenges. We report our initial experience using a next-generation scanner for low-field breast MRI at 0.55T. This initial cases series was part of an institutional review board-approved prospective
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Is a one percent occurrence of high-dose patients significant? Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-01 Maria Mataac, Madan M. Rehani
Risk-free society is utopian. We come across risks in everyday life, and we use probabilities to get a feel of how risky a situation is. Risk probability numbers of around 1% are comforting, but an intercomparison of numbers among various low risks in popular situations can be enlightening. In this article, we compare risks of complications or death in several surgeries and risks in commercial air
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Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-01 Ke Zhang, Chaoran Liu, Jielin Pan, Yunfei Zhu, Ximeng Li, Jing Zheng, Yingying Zhan, Wenjuan Li, Shaolin Li, Guibo Luo, Guobin Hong
This study aimed to evaluate the performance of a deep learning radiomics (DLR) model, which integrates multimodal MRI features and clinical information, in diagnosing sacroiliitis related to axial spondyloarthritis (axSpA). A total of 485 patients diagnosed with sacroiliitis related to axSpA (n = 288) or non-sacroiliitis (n = 197) by sacroiliac joint (SIJ) MRI between May 2018 and October 2022 were
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Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers? Eur. J. Radiol. (IF 3.3) Pub Date : 2024-02-01 Denise J. van der Reijd, Kalina Chupetlovska, Eleanor van Dijk, Bram Westerink, Melanie A. Monraats, Joost J.M. Van Griethuysen, Doenja M.J. Lambregts, Renaud Tissier, Regina G.H. Beets-Tan, Sean Benson, Monique Maas