| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Multireader Multicase (MRMC) Receiver Operating Characteristic (ROC) Study Evaluating Noninferiority of Quantitative Transmission (QT) Ultrasound to Digital Breast Tomosynthesis (DBT) on Detection and Recall of Breast Lesions
|
Jiang, Yulei
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|
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31 |
6 |
p. 2248-2258
|
artikel
|
| 2 |
A Novel Suggestion to Augment Medical Student Education in Neuroradiology Clerkships
|
Musa, Arif
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|
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31 |
6 |
p. 2636-2638
|
artikel
|
| 3 |
Anti-motion Ultrafast T2 Mapping Technique for Quantitative Detection of the Normal-Appearing Corticospinal Tract Changes in Subacute-Chronic Stroke Patients with Distal Lesions
|
Zhang, Yue
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|
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31 |
6 |
p. 2488-2500
|
artikel
|
| 4 |
Application of a Comprehensive Model Based on CT Radiomics and Clinical Features for Postoperative Recurrence Risk Prediction in Non-small Cell Lung Cancer
|
Wang, Peiwen
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|
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31 |
6 |
p. 2579-2590
|
artikel
|
| 5 |
A Preliminary Study on the Microwave Ablation of Multifocal Papillary Thyroid Microcarcinoma
|
Zhou, Hui-di
|
|
|
31 |
6 |
p. 2306-2311
|
artikel
|
| 6 |
Artificial Intelligence and Breast US: Radiologists Won’t Regret Opening Pandora’s Box
|
Mesurolle, Benoît
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|
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31 |
6 |
p. 2203-2204
|
artikel
|
| 7 |
Artificial Intelligence for Breast Cancer Detection on Mammography: Factors Related to Cancer Detection
|
Yoen, Heera
|
|
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31 |
6 |
p. 2239-2247
|
artikel
|
| 8 |
Artificial Intelligence in BI-RADS Categorization of Breast Lesions on Ultrasound: Can We Omit Excessive Follow-ups and Biopsies?
|
Guldogan, Nilgun
|
|
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31 |
6 |
p. 2194-2202
|
artikel
|
| 9 |
Assessment of Transplant Renal Artery Stenosis with Non-contrast-Enhanced Magnetic Resonance Angiography: Comparison with Digital Subtraction Angiography
|
Pan, Liang
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31 |
6 |
p. 2405-2411
|
artikel
|
| 10 |
CEMRI-Based Quantification of Intratumoral Heterogeneity for Predicting Aggressive Characteristics of Hepatocellular Carcinoma Using Habitat Analysis: Comparison and Combination of Deep Learning
|
Liu, Hai-Feng
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31 |
6 |
p. 2346-2355
|
artikel
|
| 11 |
Clinical Application of Dark-blood Imaging in Head and Neck CT Angiography: Effect on Image Quality and Plaque Visibility
|
Li, Junchao
|
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31 |
6 |
p. 2478-2487
|
artikel
|
| 12 |
Comparing Metal Artifact Severity and Ability to Assess Near-Metal Anatomy Between 0.55 T and 1.5 T MRI in Patients with Metallic Spinal Implants—A Scanner Comparison Study
|
Seifert, Alina Carolin
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31 |
6 |
p. 2456-2463
|
artikel
|
| 13 |
Contrast-Enhanced CT-Based Deep Learning Radiomics Nomogram for the Survival Prediction in Gallbladder Cancer
|
Meng, Fan-xiu
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31 |
6 |
p. 2356-2366
|
artikel
|
| 14 |
Contrast-Enhanced Mammography Radiomics Analysis for Preoperative Prediction of Breast Cancer Molecular Subtypes
|
Zhu, Shuangshuang
|
|
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31 |
6 |
p. 2228-2238
|
artikel
|
| 15 |
CT-Based Super-Resolution Deep Learning Models with Attention Mechanisms for Predicting Spread Through Air Spaces of Solid or Part-Solid Lung Adenocarcinoma
|
Wang, Shuxing
|
|
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31 |
6 |
p. 2601-2609
|
artikel
|
| 16 |
Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study
|
Belue, Mason J.
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31 |
6 |
p. 2424-2433
|
artikel
|
| 17 |
Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions
|
Kang, Zhen
|
|
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31 |
6 |
p. 2412-2423
|
artikel
|
| 18 |
Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment
|
Zhang, Yu
|
|
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31 |
6 |
p. 2268-2280
|
artikel
|
| 19 |
Deep Learning Radiomics Nomogram Based on Magnetic Resonance Imaging for Differentiating Type I/II Epithelial Ovarian Cancer
|
Wei, Mingxiang
|
|
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31 |
6 |
p. 2391-2401
|
artikel
|
| 20 |
Development and Validation of Clinical-Radiomics Nomogram for Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma
|
Feng, Jia-Wei
|
|
|
31 |
6 |
p. 2292-2305
|
artikel
|
| 21 |
Feasibility of a Prototype Image Reconstruction Algorithm for Motion Correction in Interventional Cone-Beam CT Scans
|
Spenkelink, Ilse M.
|
|
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31 |
6 |
p. 2434-2443
|
artikel
|
| 22 |
Female-specific pancreatic cancer survival from CT imaging of visceral fat implicates glutathione metabolism in solid tumors
|
Ballard, David H.
|
|
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31 |
6 |
p. 2312-2323
|
artikel
|
| 23 |
Financial Conflicts of Interest Among Physician Authors of ACR Appropriateness Criteria
|
Futela, Dheeman
|
|
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31 |
6 |
p. 2562-2566
|
artikel
|
| 24 |
Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma
|
Zheng, Fei
|
|
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31 |
6 |
p. 2444-2455
|
artikel
|
| 25 |
68Ga-DOTA.SA.FAPi as a Versatile Diagnostic Probe for Various Epithelial Malignancies: A Head-to-Head Comparison with 18F-FDG
|
Chopra, Sejal
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31 |
6 |
p. 2521-2535
|
artikel
|
| 26 |
Habitat Radiomics Based on MRI for Predicting Platinum Resistance in Patients with High-Grade Serous Ovarian Carcinoma: A Multicenter Study
|
Bi, Qiu
|
|
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31 |
6 |
p. 2367-2380
|
artikel
|
| 27 |
Histogram Analysis of Apparent Diffusion Coefficient Maps Provides Genotypic and Pretreatment Phenotypic Information in Pediatric and Young Adult Rhabdomyosarcoma
|
Ghosh, Adarsh
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|
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31 |
6 |
p. 2550-2561
|
artikel
|
| 28 |
Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research
|
Singh, Shiva
|
|
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31 |
6 |
p. 2281-2291
|
artikel
|
| 29 |
Indicators for Hospitalization in Acute Pulmonary Embolism: Uncover the Association Between D-dimer Levels, Thrombus Volume and Radiomics
|
Gotta, Jennifer
|
|
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31 |
6 |
p. 2610-2619
|
artikel
|
| 30 |
Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring
|
Klemenz, Ann-Christin
|
|
|
31 |
6 |
p. 2259-2267
|
artikel
|
| 31 |
Insights Into MRI Neuroimaging Patterns of COVID-19 in Children: A Retrospective Comprehensive Analysis
|
Nada, Mohamad Gamal
|
|
|
31 |
6 |
p. 2536-2549
|
artikel
|
| 32 |
Leveraging Artificial Intelligence to Revolutionize Ovarian Cancer Diagnosis
|
Eresen, Aydin
|
|
|
31 |
6 |
p. 2402-2404
|
artikel
|
| 33 |
Low Dose Iodinated Contrast Material and Radiation for Virtual Monochromatic Imaging in Craniocervical Dual-Layer Spectral Detector Computed Tomography Angiography: A Prospective and Randomized Study
|
Zhou, Xiuzhi
|
|
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31 |
6 |
p. 2501-2510
|
artikel
|
| 34 |
Machine Learning and CT Texture Features in Ex-smokers with no CT Evidence of Emphysema and Mildly Abnormal Diffusing Capacity
|
Sharma, Maksym
|
|
|
31 |
6 |
p. 2567-2578
|
artikel
|
| 35 |
Machine Learning-Based MRI Radiogenomics for Evaluation of Response to Induction Chemotherapy in Head and Neck Squamous Cell Carcinoma
|
Li, Zheng
|
|
|
31 |
6 |
p. 2464-2475
|
artikel
|
| 36 |
Metaplastic Breast Carcinoma and Mesenchymal Features of Other Breast Malignancies
|
Dean, Peter B.
|
|
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31 |
6 |
p. 2214-2216
|
artikel
|
| 37 |
Moving Towards Recruitment of LGBTQIA+ Resident Physicians
|
Hegde, Siddhi
|
|
|
31 |
6 |
p. 2639
|
artikel
|
| 38 |
Multimodal Imaging Features and Prognosis of Metaplastic Breast Carcinoma
|
Yao, Meng-xia
|
|
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31 |
6 |
p. 2205-2213
|
artikel
|
| 39 |
New Perspectives for Estimating Body Composition From Computed Tomography: Clothing Associated Artifacts
|
Rentz, Lauren E.
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|
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31 |
6 |
p. 2620-2626
|
artikel
|
| 40 |
Preoperative Noninvasive Evaluation of Tumor Budding in Rectal Cancer Using Multiparameter MRI Radiomics
|
Peng, Lin
|
|
|
31 |
6 |
p. 2334-2345
|
artikel
|
| 41 |
Radiogenomics is Elevating Treatment Response Prediction in Head and Neck Squamous Cell Carcinoma
|
Zhang, Zhilin
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31 |
6 |
p. 2476-2477
|
artikel
|
| 42 |
Supporting Trainees as Mothers
|
Harry, Lauren
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|
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31 |
6 |
p. 2634-2635
|
artikel
|
| 43 |
Thanks to Our Reviewers
|
Reed Dunnick, N.
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|
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31 |
6 |
p. 2193
|
artikel
|
| 44 |
The Added Value of ADC-based Nomogram in Assessing the Depth of Myometrial Invasion of Endometrial Endometrioid Adenocarcinoma
|
Ma, Xiaoliang
|
|
|
31 |
6 |
p. 2324-2333
|
artikel
|
| 45 |
The Radiology Journal Club: An Update on Best Practices and Lessons Learned From Other Specialties
|
Alexander, Lauren F.
|
|
|
31 |
6 |
p. 2627-2633
|
artikel
|
| 46 |
The Role of Prompt Engineering in Radiology Applications of Generative AI
|
Kaba, Esat
|
|
|
31 |
6 |
p. 2641
|
artikel
|
| 47 |
The Value of LI-RADS and Radiomic Features from MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma within 5 cm
|
Feng, Bing
|
|
|
31 |
6 |
p. 2381-2390
|
artikel
|
| 48 |
T2-Weighted Imaging and Apparent Diffusion Coefficient Histogram Parameters Predict Meningioma Consistency
|
Han, Tao
|
|
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31 |
6 |
p. 2511-2520
|
artikel
|
| 49 |
Under-utilization of V/Q-SPECT
|
Lee, Joseph C.
|
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|
31 |
6 |
p. 2640
|
artikel
|
| 50 |
Using Multi-phase CT Radiomics Features to Predict EGFR Mutation Status in Lung Adenocarcinoma Patients
|
Zhang, Guojin
|
|
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31 |
6 |
p. 2591-2600
|
artikel
|
| 51 |
Value of Contrast-Enhanced Microflow Imaging in Diagnosis of Breast Masses in Comparison with Contrast-Enhanced Ultrasound
|
Luo, Runlan
|
|
|
31 |
6 |
p. 2217-2227
|
artikel
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