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4.
Radiat Prot Dosimetry ; 200(8): 755-762, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38702851

ABSTRACT

This study focuses on patient radiation exposure in interventional neuroradiology (INR) procedures, a field that has advanced significantly since its inception in the 1980s. INR employs minimally invasive techniques to treat complex cerebrovascular diseases in the head, neck, and spine. The study establishes diagnostic reference levels (DRLs) for three clinical indications (CIs): stroke (S), brain aneurysms (ANs), and brain arteriovenous malformation (AVM). Data from 209 adult patients were analyzed, and DRLs were determined in terms of various dosimetric and technical quantities. For stroke, the established DRLs median values were found to be 78 Gy cm2, 378 mGy, 118 mGy, 12 min, 442 images, and 15 runs. Similarly, DRLs for brain AN are 85 Gy cm2, 611 mGy, 95.5 mGy, 19.5, 717 images, and 26 runs. For brain AVM, the DRL's are 180 Gy cm2, 1144 mGy, 537 mGy, 36 min, 1375 images, and 31 runs. Notably, this study is unique in reporting DRLs for specific CIs within INR procedures, providing valuable insights for optimizing patient safety and radiation exposure management.


Subject(s)
Radiation Dosage , Humans , Adult , Male , Middle Aged , Female , Aged , Radiation Exposure/analysis , Intracranial Arteriovenous Malformations/radiotherapy , Intracranial Arteriovenous Malformations/diagnostic imaging , Stroke/diagnostic imaging , Intracranial Aneurysm/diagnostic imaging , Diagnostic Reference Levels , Neuroradiography/methods , Aged, 80 and over , Young Adult
5.
AJNR Am J Neuroradiol ; 45(5): E3, 2024 May 09.
Article in English | MEDLINE | ID: mdl-38663985
6.
Clin Radiol ; 79(6): e854-e867, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38527920

ABSTRACT

AIM: Training structure in neuroradiology can be variable, nationally and internationally. Globally, there is a trend towards standardised training pathways, curricula and targeted competencies. Currently, there is limited understanding of the structure of neuroradiology training in the UK. This survey aims to: [1] identify different contemporary models of neuroradiology training in the UK, [2] compare UK trainees' commitments against national and international standards, and [3] understand whether career expectations match the predicted future demands of neuroradiologists. MATERIALS AND METHODS: A survey was developed after consultation with BSNR and UKNG representatives. The eligibility criteria included current neuroradiology trainees in the UK with at least 3 months of experience or had recently completed neuroradiology training, but less than 18 months had elapsed since achieving a certificate of completion of training. RESULTS: A total of 50 trainees responded to the survey; 26 (52%) diagnostic neuroradiologists (DNRs) and 24 (48%) interventional neuroradiologists (INRs) with an overall mean age of 33 years. The mean duration of training at the time of survey was 18 months. The survey details trainee demographics, experience at work, research and teaching commitments and future goals. CONCLUSION: Most respondents are satisfied with their training and 90% want to remain in the UK after completion of training. There is room for improvement but the future of training and working in neuroradiology seems promising internationally, with ever-evolving techniques and developments. ADVANCES IN KNOWLEDGE: Advances in knowledge: This study evaluates neuroradiology training in the UK to enhance the training of future neuroradiologists, and safeguard the future of the speciality.


Subject(s)
Education, Medical, Graduate , United Kingdom , Humans , Surveys and Questionnaires , Adult , Female , Education, Medical, Graduate/methods , Male , Radiology, Interventional/education , Neuroradiography , Curriculum , Clinical Competence
8.
AJNR Am J Neuroradiol ; 45(5): 533-534, 2024 May 09.
Article in English | MEDLINE | ID: mdl-38548302
10.
AJNR Am J Neuroradiol ; 45(3): 256-261, 2024 Mar 07.
Article in English | MEDLINE | ID: mdl-38388685

ABSTRACT

The Young Professionals Committee of the American Society of Neuroradiology identifies and serves the interests of young professionals in neuroradiology, defined as those still in training or within 5 years of its completion. Being a young professional is an exciting, dynamic, and demanding stage of one's professional career. As the landscape of neuroradiology practice changes, new opportunities and challenges occur for those in the early stage of their career. It is important to recognize and support the needs of young professionals because an investment in their professional development is an investment in the future of our specialty. In this article, we aimed to address the most notable developments relevant to current and future young professionals in neuroradiology as well as highlight the work done by the Young Professionals Committee of the American Society of Neuroradiology in serving the needs of these young professionals, focusing on early neuroradiology engagement, flexible work arrangements, private practice, social media, artificial intelligence, and international collaborations.


Subject(s)
Career Choice , Neuroradiography , Artificial Intelligence , United States
11.
AJNR Am J Neuroradiol ; 45(5): 549-553, 2024 May 09.
Article in English | MEDLINE | ID: mdl-38176730

ABSTRACT

This paper will review how artificial intelligence (AI) will play an increasingly important role in pediatric neuroradiology in the future. A safe, transparent, and human-centric AI is needed to tackle the quadruple aim of improved health outcomes, enhanced patient and family experience, reduced costs, and improved well-being of the healthcare team in pediatric neuroradiology. Equity, diversity and inclusion, data safety, and access to care will need to always be considered. In the next decade, AI algorithms are expected to play an increasingly important role in access to care, workflow management, abnormality detection, classification, response prediction, prognostication, report generation, as well as in the patient and family experience in pediatric neuroradiology. Also, AI algorithms will likely play a role in recognizing and flagging rare diseases and in pattern recognition to identify previously unknown disorders. While AI algorithms will play an important role, humans will not only need to be in the loop, but in the center of pediatric neuroimaging. AI development and deployment will need to be closely watched and monitored by experts in the field. Patient and data safety need to be at the forefront, and the risks of a dependency on technology will need to be contained. The applications and implications of AI in pediatric neuroradiology will differ from adult neuroradiology.


Subject(s)
Artificial Intelligence , Forecasting , Pediatrics , Humans , Child , Pediatrics/methods , Neuroimaging/methods , Neuroradiography
12.
Clin Neuroradiol ; 34(2): 293-305, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38285239

ABSTRACT

PURPOSE: Artificial intelligence (AI) has emerged as a transformative force in medical research and is garnering increased attention in the public consciousness. This represents a critical time period in which medical researchers, healthcare providers, insurers, regulatory agencies, and patients are all developing and shaping their beliefs and policies regarding the use of AI in the healthcare sector. The successful deployment of AI will require support from all these groups. This commentary proposes that widespread support for medical AI must be driven by clear and transparent scientific reporting, beginning at the earliest stages of scientific research. METHODS: A review of relevant guidelines and literature describing how scientific reporting plays a central role at key stages in the life cycle of an AI software product was conducted. To contextualize this principle within a specific medical domain, we discuss the current state of predictive tissue outcome modeling in acute ischemic stroke and the unique challenges presented therein. RESULTS AND CONCLUSION: Translating AI methods from the research to the clinical domain is complicated by challenges related to model design and validation studies, medical product regulations, and healthcare providers' reservations regarding AI's efficacy and affordability. However, each of these limitations is also an opportunity for high-impact research that will help to accelerate the clinical adoption of state-of-the-art medical AI. In all cases, establishing and adhering to appropriate reporting standards is an important responsibility that is shared by all of the parties involved in the life cycle of a prospective AI software product.


Subject(s)
Artificial Intelligence , Humans , Neuroradiography/methods , Stroke/diagnostic imaging
13.
Clin Neuroradiol ; 33(4): 885-886, 2023 12.
Article in English | MEDLINE | ID: mdl-37973649
14.
J Evid Based Integr Med ; 28: 2515690X221150527, 2023.
Article in English | MEDLINE | ID: mdl-36659818

ABSTRACT

The hospitalization and the unfamiliar experiences of patients in interventional radiology procedures cause a moderate to high levels of anxiety. This study was aimed to evaluate the anxiolytic effect of Cananga odorata essential oil (COE) aromatherapy in unexperienced patients hospitalized for interventional neuroradiology (INR) procedures. Forty-four patients admitted for their first INR procedure were randomly divided into COE and placebo control groups. COE or distilled water was dropped onto 2 pieces of mulberry paper and attached to the participant's gown at the shoulder level overnight. The main outcomes were observed from the morning salivary cortisol levels and salivary alpha-amylase activity after intervention. The Thai version of Spielberger State-Trait Anxiety Inventory (STAI) and the vital signs (blood pressure and heart rate) were also assessed before and after COE intervention as the secondary outcome. The demographic and baseline data of both groups did not show any significant difference. After intervention, COE group had a significantly lower salivary alpha-amylase activity than placebo control group. The post-intervention scores of Trait (STAI-T) and State (STAI-S) anxiety were significantly less than those of baseline in both groups. Interestingly, the COE group had a greater percentage reduction on STAI-T after intervention than placebo control group. No significant difference was observed in other outcomes. In addition, the salivary alpha-amylase activity was weak but showed significant correlation with STAI anxiety scores. This study indicates that COE aromatherapy reduces the saliva alpha amylase activity and STAI-T anxiety in unexperienced patients hospitalized for INR procedures.


Subject(s)
Anxiety , Aromatherapy , Cananga , Oils, Volatile , Radiography, Interventional , Humans , Anxiety/therapy , Aromatherapy/methods , Oils, Volatile/therapeutic use , Salivary alpha-Amylases/analysis , Hospitalization , Inpatients/psychology , Radiography, Interventional/psychology , Neuroradiography/psychology
15.
Clin Neuroradiol ; 32(3): 601-602, 2022 09.
Article in English | MEDLINE | ID: mdl-36036258
16.
Br J Radiol ; 95(1129): 20201241, 2022 Jan 01.
Article in English | MEDLINE | ID: mdl-34609904

ABSTRACT

Alagille syndrome (ALGS) is a multisystemic disease caused by mutations in genes of Notch pathway, which regulates embryonic cell differentiation and angiogenesis. Clinically, ALGS is characterized by cholestasis, cardiac defects, characteristic facial features, skeletal and ophthalmologic abnormalities. The aim of this review is to illustrate neuroradiological findings in ALGS, which are less well-known and prevalent, including cerebrovascular anomalies (such as aneurysms, dolichoectasia, Moyamoya syndrome and venous peculiarities), Chiari 1 malformation, craniosynostosis, intracranial hypertension, and vertebral anomalies (namely butterfly vertebra, hemivertebra, and craniocervical junction anomalies). Rarer cerebral midline malformations and temporal bone anomalies have also been described.


Subject(s)
Alagille Syndrome/diagnostic imaging , Brain/abnormalities , Cerebral Angiography , Cerebral Arteries/abnormalities , Cerebral Veins/abnormalities , Face/abnormalities , Humans , Magnetic Resonance Imaging , Neuroradiography , Skull/abnormalities , Spine/abnormalities
17.
Acta Radiol ; 62(11): 1451-1459, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34761691

ABSTRACT

This year, Acta Radiologica marks its 100th anniversary. In this article, the authors present some of the highlights from the close collaboration between Swedish neuroradiology and Acta Radiologica over the last 100 years.


Subject(s)
Neuroradiography/history , Periodicals as Topic/history , Radiology/history , Brain/diagnostic imaging , Caricatures as Topic , Cerebral Ventriculography/history , History, 20th Century , History, 21st Century , Sweden
18.
Rofo ; 193(11): 1357, 2021 Nov.
Article in German | MEDLINE | ID: mdl-34710930

Subject(s)
Neuroradiography
19.
Rofo ; 193(11): 1356-1357, 2021 Nov.
Article in German | MEDLINE | ID: mdl-34710929

Subject(s)
Neuroradiography , Child , Humans
20.
World Neurosurg ; 153: 79-83, 2021 09.
Article in English | MEDLINE | ID: mdl-34229102

ABSTRACT

The use of intraoperative ultrasound in emergency cranial neurosurgical procedures is not well described. It may improve surgical outcomes and is useful when other neuro-navigation systems are not readily available. We provide a practical guide for neurosurgical trainees to utilize ultrasound for various emergency cranial neurosurgical procedures, including lesion localization, insertion of an external ventricular drain, and shunt revision surgery. Intraoperative ultrasound is a useful modality for urgent neurosurgical procedures.


Subject(s)
Neuroradiography/methods , Neurosurgery/methods , Neurosurgical Procedures/methods , Ultrasonography/methods , Humans , Training Support
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