Showing papers in "Academic Radiology in 2021"

TL;DR: Olfactory cleft and olfactory bulb abnormalities are seen in COVID-19 anosmia and further longitudinal imaging studies could shed light on the mechanism of ofactory neuronal pathway injury in CO VID-19Anosmia.

TL;DR: In this paper, the authors reviewed all studies with imaging findings presentation of lymphadenopathy (LAP) after COVID-19 vaccination and found that LAP was identified after first or second dosages of three types of COVID19 vaccines, including Pfizer-BioNTech (nâ´¯=â´30, 44.1%), Moderna (n´18, 25%), and Oxford-AstraZeneca (n`18, 1.5%).

TL;DR: This review summarizes some of the newer noninterpretive uses of AI in radiology, and deems a computer to exhibit artificial intelligence when it performs a task that would normally require intelligent action by a human.

TL;DR: This study demonstrates that an AI solution can help radiologists to diagnose ICH and thus decrease the error rate and can serve as a prospective peer review tool for non-contrast head CT scans to identify I CH and thus minimize false negatives.

TL;DR: The feasibility of a radiomics-powered ML model for DMI detection on MR T2-w images that might help radiologists to increase their performance is proved.

TL;DR: The success of this institution's pilot AI-RADS course demonstrates a workable model of including AI in resident education, as well as demonstrating significant increases in perceived understanding of foundational concepts in artificial intelligence across all mastery questions for every lecture.

TL;DR: Among 62 sites performing prostate MRI, few were considered of high quality, but the majority were considered adequate, and no statistical relationship with PI-RADSv2 MTS adherence and DWI quality was found.

TL;DR: A successful initial experience implementing a virtual elective in interventional radiology (IR) provides a framework for others to continue IR medical student education during the pandemic and grow the specialty's presence within an increasingly virtual medical school curriculum.

TL;DR: This survey integrates all the recent work carried out in state-of-the-art radiomics, and Artificial Intelligence based learning solutions related to molecular diagnosis, prognosis, and treatment monitoring with the aim to create a structured resource on radiogenomic analysis of glioma.

TL;DR: In this article, an increase in axillary-lymphadenopathy attributed to vaccination was found in 163 women undergoing breast-imaging, including BRCA-carriers.

TL;DR: In this article, a comparison of contrast-enhanced abdominal photon-counting detector CT (PCD-CT) and EID-CT was performed in QuantumPlus mode at 120kVp.

TL;DR: A discrepancy exists between high expectations for the future role of AI and low confidence in the results, and the demand for plausibility checks and the need to prove the usefulness in randomized controlled studies indicate what is needed in future research.

TL;DR: Clinical applications of Superb microvascular imaging in the disorders of superficial tissues and organs including thyroid nodules, breast tumors and lymph node diseases etc are reviewed.

TL;DR: Data-driven operational decisions during COVID-19 assisted workflow and staffing assignment changes and ongoing adjustments will be needed as healthcare systems transition operations to a ‘new normal’.

TL;DR: Different uses and benefits of an online professional social media profile are presented and topics including education, branding, research, mentorship, promotion, and leadership are explored.

TL;DR: The radiomic nomogram proposed here has good performance for noninvasively predicting the lateral LNM and might be used to facilitate clinical decision-making and potentially improve the survival outcome in selected patients.

TL;DR: Unilateral or bilateral distributed ground-glass opacities often associated with feeding vessel sign, halo sign, and pleural thickening on chest CT without significant differences between age groups were findings of COVID-19 in children.

TL;DR: MRI-based delta-radiomics can help predict pCR after nCRT in patients with LARC with better performance than magnetic resonance tumor regression grade (mrTRG).

TL;DR: The CT-based radiomics nomogram has the potential to accurately differentiate HCA from HCC in the noncirrhotic liver and outperformed the clinical factors model and the radiomics signature in terms of clinical usefulness.

TL;DR: Immersive 3D visualization has the potential to improve short-term anatomic recall in the head and neck compared to traditional 2D screen-based review, as well as engage millennial learners to learn better in anatomy laboratory.

TL;DR: Investigation of the potential of photon-counting CT (PCCT) to improve quantitative image quality for low dose imaging compared to energy-integrating detector CT (EID CT) found it offered a notable advantage with improved CNR at all doses and iodine concentration levels.

TL;DR: PreFUL MRI is feasible in pediatric CF, distinguishes patients undergoing pulmonary exacerbations compared to healthy subjects, and correlates with HP 129Xe MRI as well as functional measures of disease severity.

TL;DR: The MRI radiomics method based on enhanced-T1WI images has a good predictive effect on the classification of meningiomas and can provide a basis for planning clinical treatment protocols.

TL;DR: CT-measured cardiac indices might have predictive value regarding survival and extent of lung involvement in hospitalized patients with COVID-19 and could possibly be used for the risk stratification of these patients and for guiding therapy decision-making.

TL;DR: Among patients with acute ICH, the noncontrast CT-based radiomics model outperformed the clinical-only model in the prediction of HE, and the established clinical-radiomics nomogram with favorable performance can offer a noninvasive tool for the risk stratification of HE.

TL;DR: In this article, a low-power electromagnetic wave breast imaging (MBI) system was used to detect dielectric contrast between tumour phantoms and synthetic fibroglandular tissue in preclinical studies.

TL;DR: In this paper, the authors assess the potential influence of virtual interviews, social media, and virtual events on an applicant's decision to apply to, interview at, and rank residency programs.

TL;DR: Fusion of deep features derived from DWI images concerning the three b-value images and the ADC image yields better performance for MVI prediction, compared with lower performance in the ADC map.

TL;DR: The combination of radiomics and machine-learning approach on 3D multimodal MRI could well distinguish EP and MB of childhood, which assistant doctors in clinical diagnosis are concerned about.

TL;DR: ECViodine yielded more accurate myocardial ECV quantification than ECVsub, and provided a comparable ECV value to that obtained by CMR, according to Bland-Altman plots.