| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Advancing learning equity through virtual radiology grand rounds
|
Planz, Virginia B.
|
|
|
101 |
C |
p. 223-226
|
article
|
| 2 |
An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial disease
|
Cox, Meredith
|
|
|
101 |
C |
p. 1-7
|
article
|
| 3 |
A pictorial guide to artifacts on contrast mammography: How to avoid pitfalls and improve interpretation
|
Bennett, Caroline
|
|
|
101 |
C |
p. 215-222
|
article
|
| 4 |
Application of artificial intelligence centric workflows for evaluation of neuroradiology emergencies
|
Shakoor, Delaram
|
|
|
101 |
C |
p. 133-136
|
article
|
| 5 |
A role for breast ultrasound Artificial Intelligence decision support in the evaluation of small invasive lobular carcinomas
|
Amir, Tali
|
|
|
101 |
C |
p. 77-85
|
article
|
| 6 |
Brief communication: RSNA female gold medal recipients: life, legacy, and intergenerational mentorship
|
Jean, Jolie
|
|
|
101 |
C |
p. 32-33
|
article
|
| 7 |
Can breast MRI predict pathologic response following neoadjuvant chemotherapy for breast cancer? A retrospective cohort study
|
Kwak, Lily
|
|
|
101 |
C |
p. 105-112
|
article
|
| 8 |
Characteristics of conventional high-risk coronary plaques and a novel CT defined thin-cap fibroatheroma in patients undergoing CCTA with stable chest pain
|
Salem, Ahmed M.
|
|
|
101 |
C |
p. 69-76
|
article
|
| 9 |
Comparison of noncontrast, dynamic, and hepatobiliary phase abbreviated MRI protocols for detection of hepatic malignancies
|
Lee, Jeong Hyun
|
|
|
101 |
C |
p. 206-214
|
article
|
| 10 |
Contents
|
|
|
|
101 |
C |
p. i-iii
|
article
|
| 11 |
Correlation of shear-wave elastography parameters with the molecular subtype and axillary lymph node status in breast cancer
|
Kim, Hee Jeong
|
|
|
101 |
C |
p. 190-199
|
article
|
| 12 |
CT and MR imaging of the greater omentum: Pictorial essay
|
Ghahremani, Gary G.
|
|
|
101 |
C |
p. 22-31
|
article
|
| 13 |
Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports
|
Li, Hanzhou
|
|
|
101 |
C |
p. 137-141
|
article
|
| 14 |
Diagnostic performance of artificial intelligence for pediatric pulmonary nodule detection in computed tomography of the chest
|
Salman, Rida
|
|
|
101 |
C |
p. 50-55
|
article
|
| 15 |
Diagnostic ultrasound of the chest wall in the symptomatic patient after mastectomy
|
Chung, Hannah L.
|
|
|
101 |
C |
p. 126-132
|
article
|
| 16 |
Everyday advocacy
|
Smith, Elainea N.
|
|
|
101 |
C |
p. 66-68
|
article
|
| 17 |
Experience of a single healthcare system with screening mammography before and after COVID-19 shutdown
|
Chesebro, Allyson L.
|
|
|
101 |
C |
p. 97-104
|
article
|
| 18 |
Facial fractures: The “bottom-up” approach
|
Kochkine, Sergey
|
|
|
101 |
C |
p. 167-179
|
article
|
| 19 |
From medical school through residency applications: Puerto Ricans may face ignorance and prejudice
|
Lugo-Fagundo, Elias
|
|
|
101 |
C |
p. 34-36
|
article
|
| 20 |
Impact of imaging nurse navigation on breast interventions: Direct and closed-loop patient communication and documentation
|
Tannenbaum, Melissa F.
|
|
|
101 |
C |
p. 37-43
|
article
|
| 21 |
I saw the “atoll sign” – and now I need a tropical vacation
|
Williams, James M.
|
|
|
101 |
C |
p. 156-160
|
article
|
| 22 |
MR imaging of thoracic annular fissures
|
Asadollahi, Shadi
|
|
|
101 |
C |
p. 227-233
|
article
|
| 23 |
Myocardial tissue microstructure with and without stress-induced ischemia assessed by T1 mapping in patients with stable coronary artery disease
|
de Oliveira Laterza Ribeiro, Matheus
|
|
|
101 |
C |
p. 142-149
|
article
|
| 24 |
PACS-integrated machine learning breast density classifier: clinical validation
|
Lewin, John
|
|
|
101 |
C |
p. 200-205
|
article
|
| 25 |
Postoperative imaging of thoracic aortic repairs
|
Yang, Anthony
|
|
|
101 |
C |
p. 8-21
|
article
|
| 26 |
Post-procedural structural heart CT imaging: TAVR, TMVR, and other interventions
|
Haramati, Adina
|
|
|
101 |
C |
p. 86-95
|
article
|
| 27 |
Pre-operative uterine artery embolization before hysterectomy or myomectomy: a single-center review of 53 patients
|
Kinariwala, Dhara J.
|
|
|
101 |
C |
p. 121-125
|
article
|
| 28 |
Risk factors and clinical features associated with basal ganglia manganese deposition in patients with hereditary hemorrhagic telangiectasia
|
Weinstein, Robert M.
|
|
|
101 |
C |
p. 183-189
|
article
|
| 29 |
Schrodinger's cat and Deauville 5 point scoring
|
Wang, Yingbing
|
|
|
101 |
C |
p. 180-182
|
article
|
| 30 |
Should isolated superolateral Hoffa's fat pad edema identified by MRI be reported or ignored in adolescent patients?
|
Salman, Rida
|
|
|
101 |
C |
p. 161-166
|
article
|
| 31 |
The association of clinically relevant variables with chest radiograph lung disease burden quantified in real-time by radiologists upon initial presentation in individuals hospitalized with COVID-19
|
Levy, Todd
|
|
|
101 |
C |
p. 56-65
|
article
|
| 32 |
The efficacy of abbreviated breast MRI protocols using 1.5 T MRI in the preoperative staging of newly diagnosed breast cancers
|
Kadioglu, Maksude Esra
|
|
|
101 |
C |
p. 44-49
|
article
|
| 33 |
The utility of time resolved magnetic resonance angiography in differentiating vascular malformations
|
Bista, Biraj
|
|
|
101 |
C |
p. 150-155
|
article
|
| 34 |
Universal axillary scanning on all patients presenting for breast ultrasound has minimal impact on cancer detection
|
Chen, Iris E.
|
|
|
101 |
C |
p. 96
|
article
|
| 35 |
Using the “2 standard deviations” rule with Dixon MRI to differentiate renal cell carcinoma types
|
Sun, Jun
|
|
|
101 |
C |
p. 113-120
|
article
|
Journal description