nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Bronchial artery embolization using small particles is safe and effective: a single center 12-year experience
|
Sheehan, Frances |
|
|
34 |
12 |
p. 7786-7794 |
artikel |
2 |
Can a comprehensive gadoxetic acid-enhanced MRI with MRCP be used for early diagnosis, monitoring, and outcome prediction of PSC?
|
Poetter-Lang, Sarah |
|
|
34 |
12 |
p. 7647-7649 |
artikel |
3 |
Cerebral collaterals are associated with pre-treatment brain–blood barrier permeability in acute ischemic stroke patients
|
Bani-Sadr, Alexandre |
|
|
34 |
12 |
p. 8005-8012 |
artikel |
4 |
Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance
|
Mosquera, Candelaria |
|
|
34 |
12 |
p. 7895-7903 |
artikel |
5 |
Computed tomography characteristics of cN0 primary non-small cell lung cancer predict occult lymph node metastasis
|
Yoon, Dong Woog |
|
|
34 |
12 |
p. 7817-7828 |
artikel |
6 |
Correction: Comparison between CT volumetry and extracellular volume fraction using liver dynamic CT for the predictive ability of liver fibrosis in patients with hepatocellular carcinoma
|
Tago, Kenichiro |
|
|
34 |
12 |
p. 8040 |
artikel |
7 |
Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation
|
Carles, Montserrat |
|
|
34 |
12 |
p. 8039 |
artikel |
8 |
Correction: Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography
|
Pisu, Francesco |
|
|
34 |
12 |
p. 8041 |
artikel |
9 |
Cross-reactivity in hypersensitivity reactions to contrast agents: new classification and guide for clinical practice
|
Vega, Francisco |
|
|
34 |
12 |
p. 7583-7588 |
artikel |
10 |
Cutting through the hype: the true economic impact and ROI of AI in radiology
|
Brat, Hugues G. |
|
|
34 |
12 |
p. 7904-7906 |
artikel |
11 |
Diagnostic MRI for deep pelvic endometriosis: towards a standardized protocol?
|
Thomassin-Naggara, Isabelle |
|
|
34 |
12 |
p. 7705-7715 |
artikel |
12 |
Diagnostic performance of CT/MRI LI-RADS v2018 in non-cirrhotic steatotic liver disease
|
Cao, Jennie |
|
|
34 |
12 |
p. 7622-7631 |
artikel |
13 |
Differentiating small (< 2 cm) pancreatic ductal adenocarcinoma from neuroendocrine tumors with multiparametric MRI-based radiomic features
|
Shen, Keren |
|
|
34 |
12 |
p. 7553-7563 |
artikel |
14 |
Diffusion-weighted imaging in addition to contrast-enhanced MRI in identifying complete response in HER2-positive breast cancer
|
van der Voort, Anna |
|
|
34 |
12 |
p. 7994-8004 |
artikel |
15 |
Disease severity prognostication in primary sclerosing cholangitis: a validation of the Anali scores and comparison with the potential functional stricture
|
Poetter-Lang, Sarah |
|
|
34 |
12 |
p. 7632-7644 |
artikel |
16 |
Dorsal wrist ganglion: clinical and imaging correlation in symptomatic population based on high-field MRI
|
Ferreira Branco, David |
|
|
34 |
12 |
p. 7856-7863 |
artikel |
17 |
Dual-source dual-energy CT and deep learning for equivocal lymph nodes on CT images for thyroid cancer
|
Li, Sheng |
|
|
34 |
12 |
p. 7567-7579 |
artikel |
18 |
ESR Essentials: characterisation and staging of adnexal masses with MRI and CT—practice recommendations by ESUR
|
Avesani, Giacomo |
|
|
34 |
12 |
p. 7673-7689 |
artikel |
19 |
Evaluating prostate cancer bone metastases response with whole-body MRI: What we know and still need to know
|
Padhani, Anwar R. |
|
|
34 |
12 |
p. 7564-7566 |
artikel |
20 |
Evaluation of pancreatic iodine uptake and related influential factors in multiphase dual-energy CT
|
Pan, Chen |
|
|
34 |
12 |
p. 7609-7621 |
artikel |
21 |
Ferumoxtran-10-enhanced MRI for pre-operative metastatic lymph node detection in pancreatic, duodenal, or periampullary adenocarcinoma
|
Litjens, Geke |
|
|
34 |
12 |
p. 7973-7984 |
artikel |
22 |
From data to decisions: deep learning is shaping prostate cancer diagnostics
|
Israël, Bas |
|
|
34 |
12 |
p. 7907-7908 |
artikel |
23 |
From fear to fascination: transforming interest in interventional radiology
|
Can, Elif |
|
|
34 |
12 |
p. 7795-7796 |
artikel |
24 |
“How I would like AI used for my imaging”: children and young persons’ perspectives
|
Lee, Lauren |
|
|
34 |
12 |
p. 7751-7764 |
artikel |
25 |
Illuminating the shades of hyper- to isointense lesions in hepatobiliary phase imaging
|
Ronot, Maxime |
|
|
34 |
12 |
p. 7659-7660 |
artikel |
26 |
Image quality of lung perfusion with photon-counting-detector CT: comparison with dual-source, dual-energy CT
|
Remy-Jardin, Martine |
|
|
34 |
12 |
p. 7831-7844 |
artikel |
27 |
Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequences
|
Ponsiglione, Andrea |
|
|
34 |
12 |
p. 7985-7993 |
artikel |
28 |
In vitro blood sample assessment: investigating correlation of laboratory hemoglobin and spectral properties of dual-energy CT measurements (ρ/Z)
|
Schulz, Bastian |
|
|
34 |
12 |
p. 7934-7943 |
artikel |
29 |
Iodine-based contrast media in contrast-enhanced mammography and dedicated breast computed tomography: is it necessary to assess renal function in all outpatients to prevent contrast-induced acute kidney injury?
|
Parillo, Marco |
|
|
34 |
12 |
p. 7580-7582 |
artikel |
30 |
Is MRI ready to replace biopsy during active surveillance?
|
Dias, Adriano B. |
|
|
34 |
12 |
p. 7716-7727 |
artikel |
31 |
Lesions hyper- to isointense to surrounding liver in the hepatobiliary phase of gadoxetic acid-enhanced MRI
|
Furumaya, Alicia |
|
|
34 |
12 |
p. 7661-7672 |
artikel |
32 |
Letter to the Editor: “Continuous use of metformin in patients receiving contrast medium: What is the evidence? A systematic review and meta-analysis”
|
Ge, Yanan |
|
|
34 |
12 |
p. 7593-7595 |
artikel |
33 |
Letter to the editor: “Disease severity prognostication in primary sclerosing cholangitis: a validation of the Anali scores and comparison with the potential functional stricture”
|
Yin, Bincan |
|
|
34 |
12 |
p. 7645-7646 |
artikel |
34 |
Letter to the Editor: “Intra-patient variability of iodine quantification across different dual-energy CT platforms: assessment of normalization techniques”
|
Zhang, Xiaoxiao |
|
|
34 |
12 |
p. 7589-7590 |
artikel |
35 |
Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression
|
Lombaers, Marike S. |
|
|
34 |
12 |
p. 7693-7695 |
artikel |
36 |
Letter to the Editor: “Percutaneous ultrasound-guided needle tenotomy for treatment of chronic tendinopathy and fasciopathy: a meta-analysis”
|
Rhim, Hye Chang |
|
|
34 |
12 |
p. 7864-7865 |
artikel |
37 |
Letter to the Editor: “Ultra-low-dose vs standard-of-care-dose CT of the chest in patients with post-COVID-19 conditions—a prospective intra-patient multi-reader study”
|
Devkota, Shritik |
|
|
34 |
12 |
p. 7813-7814 |
artikel |
38 |
Longitudinal investigation of undergraduates’ radiation anxiety, interest, and career intention in interventional radiology
|
Cao, Yanyan |
|
|
34 |
12 |
p. 7797-7803 |
artikel |
39 |
Machine learning and deep learning for classifying the justification of brain CT referrals
|
Potočnik, Jaka |
|
|
34 |
12 |
p. 7944-7952 |
artikel |
40 |
Natural language processing pipeline to extract prostate cancer-related information from clinical notes
|
Nakai, Hirotsugu |
|
|
34 |
12 |
p. 7878-7891 |
artikel |
41 |
Opportunities and challenges of social media communication in radiology from the EUSOBI young club: the patient perspective
|
Justich, Caroline |
|
|
34 |
12 |
p. 7746-7747 |
artikel |
42 |
Opportunities and challenges of social media communication in radiology from the EUSOBI young club: the radiologist perspective
|
Baykara Ulusan, Melis |
|
|
34 |
12 |
p. 7748-7750 |
artikel |
43 |
Optimizing timing for quantification of intracranial aneurysm enhancement: a multi-phase contrast-enhanced vessel wall MRI study
|
Li, Xiao |
|
|
34 |
12 |
p. 7953-7961 |
artikel |
44 |
Pediatric diffuse intrinsic pontine glioma radiotherapy response prediction: MRI morphology and T2 intensity-based quantitative analyses
|
Yu, Xiaojun |
|
|
34 |
12 |
p. 7962-7972 |
artikel |
45 |
Performance of fibroblast activating protein inhibitor PET imaging for pancreatic neoplasms assessment: a systematic review and meta-analysis
|
Tang, Ranbie |
|
|
34 |
12 |
p. 7804-7812 |
artikel |
46 |
Performance of MRI for standardized lymph nodes assessment in breast cancer: are we ready for Node-RADS?
|
Pediconi, Federica |
|
|
34 |
12 |
p. 7734-7745 |
artikel |
47 |
Photon-counting CT for pulmonary embolisms—when radiologists don’t have to choose between image quality or motion artifacts
|
Andersen, Michael Brun |
|
|
34 |
12 |
p. 7829-7830 |
artikel |
48 |
Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms
|
Schrader, Adrian |
|
|
34 |
12 |
p. 7909-7920 |
artikel |
49 |
Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
|
Bozgo, Vilma |
|
|
34 |
12 |
p. 7698-7704 |
artikel |
50 |
Prostate-MRI reporting should be done with the aid of AI systems: Cons
|
de Rooij, Maarten |
|
|
34 |
12 |
p. 7731-7733 |
artikel |
51 |
Prostate-MRI reporting should be done with the aid of AI systems: Pros
|
Penzkofer, Tobias |
|
|
34 |
12 |
p. 7728-7730 |
artikel |
52 |
Prostate MRI: what to consider when shopping for AI tools
|
Penzkofer, Tobias |
|
|
34 |
12 |
p. 7690-7692 |
artikel |
53 |
Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease
|
Shimozono, Takuya |
|
|
34 |
12 |
p. 7921-7933 |
artikel |
54 |
Radiopalmar ganglion cysts: prevalence, morphology, and clinical significance in wrist MRI
|
Goller, Sophia S. |
|
|
34 |
12 |
p. 7869-7877 |
artikel |
55 |
Reappraising imaging features of pancreatic acinar cystic transformation: be aware of differential diagnoses
|
Aguilera Munoz, Lina |
|
|
34 |
12 |
p. 7650-7658 |
artikel |
56 |
Redefining traumatic axonal injury assessment for grading and prognostication: a never-ending MRI endeavor
|
Battal, Bilal |
|
|
34 |
12 |
p. 8013-8014 |
artikel |
57 |
Reply to Letter to the Editor: “Intra‑patient variability of iodine quantification across different dual‑energy CT platforms: assessment of normalization techniques”
|
Lennartz, Simon |
|
|
34 |
12 |
p. 7591-7592 |
artikel |
58 |
Reply to Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression
|
Himoto, Yuki |
|
|
34 |
12 |
p. 7696-7697 |
artikel |
59 |
Reply to letter to the Editor: “Percutaneous ultrasound‐guided needle tenotomy for treatment of chronic tendinopathy and fasciopathy: a meta‐analysis”
|
Shomal Zadeh, Firoozeh |
|
|
34 |
12 |
p. 7866-7868 |
artikel |
60 |
Reply to Letter to the Editor: “Ultra-low-dose vs. standard-of-care-dose CT of the chest in patients with post-COVID-19 conditions—a prospective intra-patient multi-reader study”
|
Wassipaul, Christian |
|
|
34 |
12 |
p. 7815-7816 |
artikel |
61 |
Safety and effectiveness of tunneled peripherally inserted central catheters versus conventional PICC in adult cancer patients
|
Li, Jia |
|
|
34 |
12 |
p. 7776-7785 |
artikel |
62 |
Serum tumor marker and CT body composition scoring system predicts outcomes in colorectal cancer surgical patients
|
Song, Mingming |
|
|
34 |
12 |
p. 7596-7608 |
artikel |
63 |
Specific brain MRI features of constitutional mismatch repair deficiency syndrome in children with high-grade gliomas
|
Raveneau, Magali |
|
|
34 |
12 |
p. 7765-7775 |
artikel |
64 |
Synthetic hematocrit from virtual non-contrast images for myocardial extracellular volume evaluation with photon-counting detector CT
|
Mergen, Victor |
|
|
34 |
12 |
p. 7845-7855 |
artikel |
65 |
The prognostic importance of traumatic axonal injury on early MRI: the Trondheim TAI-MRI grading and quantitative models
|
Moen, Kent Gøran |
|
|
34 |
12 |
p. 8015-8029 |
artikel |
66 |
Ultrasound-guided percutaneous radiofrequency ablation versus surgery for solitary T1N0M0 papillary thyroid carcinoma in the danger triangle
|
Zhang, Danling |
|
|
34 |
12 |
p. 8030-8038 |
artikel |
67 |
When AUC-ROC and accuracy are not accurate: what everyone needs to know about evaluating artificial intelligence in radiology
|
Huisman, Merel |
|
|
34 |
12 |
p. 7892-7894 |
artikel |