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Book: Introduction to the science of medical imaging

Bryan, Robert Nick

(Cambridge medicine)

2010

Author's details	ed. by R. Nick Bryan
Series title	Cambridge medicine
Language	English
Size	VII, 326 S. : Ill., graph. Darst.
Publisher	Cambridge Univ. Press
Publishing place	Cambridge u.a.
Publishing country	Great Britain
Document type	Book
HBZ-ID	HT016126003
ISBN	978-0-521-74762-2 ; 0-521-74762-7
Database	Catalogue ZB MED Medicine, Health

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2010 A 953	order for loan	Magazin

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Article ; Online: Machine Learning Applied to Alzheimer Disease.

Bryan, R Nick

Radiology

2016 Volume 281, Issue 3, Page(s) 665–668

MeSH term(s)	Alzheimer Disease/diagnostic imaging ; Humans ; Image Interpretation, Computer-Assisted ; Machine Learning ; Magnetic Resonance Imaging
Language	English
Publishing date	2016-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	80324-8
ISSN	1527-1315 ; 0033-8419
ISSN (online)	1527-1315
ISSN	0033-8419
DOI	10.1148/radiol.2016162151
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Article ; Online: Science to Practice: Can Focused Ultrasound Disruption of the Blood-Brain Barrier Improve Malignant Brain Tumor Treatment Outcomes?

Bryan, R Nick

Radiology

2016 Volume 281, Issue 1, Page(s) 1–3

Abstract: A relatively novel combination treatment for malignant brain tumors that includes focused ultrasound has been shown to improve tumor response and treatment outcome in a preclinical mouse model. This method directly addresses the great need for better ... ...

Abstract	A relatively novel combination treatment for malignant brain tumors that includes focused ultrasound has been shown to improve tumor response and treatment outcome in a preclinical mouse model. This method directly addresses the great need for better treatments for this lethal disease. However, there are substantial technologic hurdles that must be addressed before clinical efficacy will be known. Unfortunately, few of these questions can be readily answered outside the clinical environment. Although it would be enormously challenging, a phase I clinical trial seems feasible and needed to determine the clinical value of this technique.
MeSH term(s)	Animals ; Blood-Brain Barrier ; Brain Neoplasms ; Hyperthermia, Induced ; Mice ; Treatment Outcome
Language	English
Publishing date	2016
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	80324-8
ISSN	1527-1315 ; 0033-8419
ISSN (online)	1527-1315
ISSN	0033-8419
DOI	10.1148/radiol.2016161363
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Article ; Online: Science to practice: myeloperoxidase immunoradiology improves detection of acute and chronic experimental multiple sclerosis.

Bryan, R Nick

Radiology

2015 Volume 275, Issue 2, Page(s) 311–313

Abstract: The report by Pulli et al ( 1 ) provides good preclinical evidence that MPO-Gd, a gadolinium-based magnetic resonance (MR) imaging probe for the enzyme myeloperoxidase (MPO), might be a more sensitive contrast agent for the detection of multiple ... ...

Abstract	The report by Pulli et al ( 1 ) provides good preclinical evidence that MPO-Gd, a gadolinium-based magnetic resonance (MR) imaging probe for the enzyme myeloperoxidase (MPO), might be a more sensitive contrast agent for the detection of multiple sclerosis (MS) and may mark a pathologically specific proinflammatory component of the disease that might also provide the basis for novel therapies.
MeSH term(s)	Animals ; Contrast Media ; Female ; Gadolinium DTPA ; Multiple Sclerosis/diagnostic imaging ; Multiple Sclerosis/immunology ; Peroxidase/analysis ; Radionuclide Imaging
Chemical Substances	Contrast Media ; Peroxidase (EC 1.11.1.7) ; Gadolinium DTPA (K2I13DR72L)
Language	English
Publishing date	2015-05
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	80324-8
ISSN	1527-1315 ; 0033-8419
ISSN (online)	1527-1315
ISSN	0033-8419
DOI	10.1148/radiol.2015150059
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Article ; Online: Intensive Blood Pressure Treatment and Subclinical Brain Infarcts: A Secondary Analysis of SPRINT (Systolic Pressure Intervention Trial).

Kern, Kyle C / Nasrallah, Ilya M / Bryan, R Nick / Williamson, Jeff / Reboussin, David M / Pajewski, Nicholas M / Wright, Clinton B

Annals of neurology

2024 Volume 95, Issue 5, Page(s) 866–875

Abstract: Objective: Subclinical brain infarcts (SBI) increase the risk for stroke and dementia, but whether they should be considered equivalent to symptomatic stroke when determining blood pressure targets remains unclear. We tested whether intensive systolic ... ...

Abstract	Objective: Subclinical brain infarcts (SBI) increase the risk for stroke and dementia, but whether they should be considered equivalent to symptomatic stroke when determining blood pressure targets remains unclear. We tested whether intensive systolic blood pressure (SBP) treatment reduced the risk of new SBI or stroke and determined the association between SBI and cognitive impairment. Methods: In this secondary analysis of SPRINT (Systolic Pressure Intervention Trial), participants ≥50 years old, with SBP 130-180mmHg and elevated cardiovascular risk but without known clinical stroke, dementia, or diabetes, were randomized to intensive (<120mmHg) or standard (<140mmHg) SBP treatment. Brain magnetic resonance images collected at baseline and follow-up were read for SBI. The occurrence of mild cognitive impairment (MCI) or probable dementia (PD) was evaluated. Results: For 667 participants at baseline, SBI were identified in 75 (11%). At median 3.9 years follow-up, 12 of 457 had new SBI on magnetic resonance imaging (5 intensive, 7 standard), whereas 8 had clinical stroke (4 per group). Baseline SBI (subhazard ratio [sHR] = 3.90; 95% CI 1.49 to 10.24; p = 0.006), but not treatment group, was associated with new SBI or stroke. For participants with baseline SBI, intensive treatment reduced their risk for recurrent SBI or stroke (sHR = 0.050; 95% CI 0.0031 to 0.79; p = 0.033). Baseline SBI also increased risk for MCI or PD during follow-up (sHR = 2.38; 95% CI 1.23 to 4.61; p = 0.010). Interpretation: New cerebral ischemic events were infrequent, but intensive treatment mitigated the increased risk for participants with baseline SBI, indicating primary prevention SBP goals are still appropriate when SBI are present. ANN NEUROL 2024;95:866-875.
MeSH term(s)	Humans ; Male ; Female ; Aged ; Middle Aged ; Antihypertensive Agents/therapeutic use ; Brain Infarction/diagnostic imaging ; Cognitive Dysfunction/diagnostic imaging ; Magnetic Resonance Imaging ; Hypertension/complications ; Blood Pressure/physiology ; Stroke/diagnostic imaging ; Dementia
Chemical Substances	Antihypertensive Agents
Language	English
Publishing date	2024-02-16
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	80362-5
ISSN	1531-8249 ; 0364-5134
ISSN (online)	1531-8249
ISSN	0364-5134
DOI	10.1002/ana.26892
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Article ; Online: Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education.

Shah, Chintan / Davtyan, Karapet / Nasrallah, Ilya / Bryan, R Nick / Mohan, Suyash

Journal of digital imaging

2022 Volume 36, Issue 1, Page(s) 11–16

Abstract: Technological tools can redesign traditional approaches to radiology education, for example, with simulation cases and via computer-generated feedback. In this study, we investigated the use of an AI-powered, Bayesian inference-based clinical decision ... ...

Abstract	Technological tools can redesign traditional approaches to radiology education, for example, with simulation cases and via computer-generated feedback. In this study, we investigated the use of an AI-powered, Bayesian inference-based clinical decision support (CDS) software to provide automated "real-time" feedback to trainees during interpretation of clinical and simulation brain MRI examinations. Radiology trainees participated in sessions in which they interpreted 3 brain MRIs: two cases from a routine clinical worklist (one without and one with CDS) and a teaching file-based simulation case with CDS. The CDS software required trainees to input imaging features and differential diagnoses, after which inferred diagnoses were displayed, and the case was reviewed with an attending neuroradiologist. An observer timed each case, including time spent on education, and trainees completed a survey rating their confidence in their findings and the educational value of the case. Ten trainees reviewed 75 brain MRI examinations during 25 reading sessions. Trainees had slightly lower confidence in their findings and diagnosis and rated the educational value slightly higher for simulation cases with CDS compared to clinical cases without CDS (p < 0.05). There were no significant differences in ratings of clinical cases with or without CDS. No differences in overall timing were found among the reading scenarios. Simulation cases with "CDS-provided feedback" may improve the educational value of interpreting imaging studies at a workstation without adding additional time. Further investigation will help drive innovation in trainee education, which may be particularly relevant in this era of increasing remote work and asynchronous attending review.
MeSH term(s)	Humans ; Artificial Intelligence ; Decision Support Systems, Clinical ; Bayes Theorem ; Radiology/education ; Radiography ; Clinical Competence ; Internship and Residency
Language	English
Publishing date	2022-10-24
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1033897-4
ISSN	1618-727X ; 0897-1889
ISSN (online)	1618-727X
ISSN	0897-1889
DOI	10.1007/s10278-022-00713-9
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Article: Integrative diagnostics: the time is now-a report from the International Society for Strategic Studies in Radiology.

Beauchamp, Norman J / Bryan, R Nick / Bui, Marilyn M / Krestin, Gabriel P / McGinty, Geraldine B / Meltzer, Carolyn C / Neumaier, Michael

Insights into imaging

2023 Volume 14, Issue 1, Page(s) 54

Abstract: Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of results may overwhelm the diagnostic acumen of ... ...

Abstract	Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of results may overwhelm the diagnostic acumen of even the most dedicated and experienced clinician. Because they are gathered and processed within the "silo" of each diagnostic discipline, diagnostic data are fragmented, and the electronic health record does little to synthesize new and existing data into usable information. Therefore, despite great promise, diagnoses may still be incorrect, delayed, or never made. Integrative diagnostics represents a vision for the future, wherein diagnostic data, together with clinical data from the electronic health record, are aggregated and contextualized by informatics tools to direct clinical action. Integrative diagnostics has the potential to identify correct therapies more quickly, modify treatment when appropriate, and terminate treatment when not effective, ultimately decreasing morbidity, improving outcomes, and avoiding unnecessary costs. Radiology, laboratory medicine, and pathology already play major roles in medical diagnostics. Our specialties can increase the value of our examinations by taking a holistic approach to their selection, interpretation, and application to the patient's care pathway. We have the means and rationale to incorporate integrative diagnostics into our specialties and guide its implementation in clinical practice.
Language	English
Publishing date	2023-03-30
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2543323-4
ISSN	1869-4101
ISSN	1869-4101
DOI	10.1186/s13244-023-01379-9
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Article ; Online: Artificial Intelligence: Threat or Boon to Radiologists?

Recht, Michael / Bryan, R Nick

Journal of the American College of Radiology : JACR

2017 Volume 14, Issue 11, Page(s) 1476–1480

Abstract: The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiology. ... ...

Abstract	The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiology. But rather than being a significant threat to radiologists, we believe these changes, particularly machine learning/artificial intelligence, will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction.
Language	English
Publishing date	2017-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	2274861-1
ISSN	1558-349X ; 1546-1440
ISSN (online)	1558-349X
ISSN	1546-1440
DOI	10.1016/j.jacr.2017.07.007
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Article: Measures of MRI Brain Biomarkers in Middle Age According to Average Modified Mediterranean Diet Scores Throughout Young and Middle Adulthood.

Al-Darsani, Zeinah / Jacobs, David R / Bryan, R Nick / Launer, Lenore J / Steffen, Lyn M / Yaffe, Kristine / Shikany, James M / Odegaard, Andrew O

Nutrition and healthy aging

2023 Volume 8, Issue 1, Page(s) 109–121

Abstract: Background: The Mediterranean diet (MedDiet) has been linked with better cognitive function and brain integrity.: Objective: To examine the association of modified Mediterranean diet (mMedDiet) scores from early through middle adulthood in relation ... ...

Abstract	Background: The Mediterranean diet (MedDiet) has been linked with better cognitive function and brain integrity. Objective: To examine the association of modified Mediterranean diet (mMedDiet) scores from early through middle adulthood in relation to volumetric and microstructural midlife MRI brain measures. Assess the association of mMedDiet and brain measures with four cognitive domains. If variables are correlated, determine if brain measures mediate the relationship between mMedDiet and cognition. Methods: 618 participants (mean age 25.4±3.5 at year 0) of the Coronary Artery Risk Development in Young Adults (CARDIA) study were included. Cumulative average mMedDiet scores were calculated by averaging scores from years 0, 7, and 20. MRI scans were obtained at years 25 and 30. General linear models were used to examine the association between mMedDiet and brain measures. Results: Higher cumulative average mMedDiet scores were associated with better microstructural white matter (WM) integrity measured by fractional anisotropy (FA) at years 25 and 30 (all p Conclusions: mMedDiet scores may be associated with microstructural WM integrity at midlife.
Language	English
Publishing date	2023-08-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2879828-4
ISSN	2451-9502 ; 2451-9480
ISSN (online)	2451-9502
ISSN	2451-9480
DOI	10.3233/NHA-220192
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Article ; Online: Science to practice: is t2* enough to assess oxygenation?

Bryan, R Nick

Radiology

2012 Volume 262, Issue 2, Page(s) 375–377

Abstract: As initially reported by Ogawa et al (1), the magnetic resonance (MR) imaging T2* blood oxygen level–dependent (BOLD) signal is sensitive to blood oxygen concentration; however, this signal is also sensitive to a number of other normal and abnormal ... ...

Abstract	As initially reported by Ogawa et al (1), the magnetic resonance (MR) imaging T2* blood oxygen level–dependent (BOLD) signal is sensitive to blood oxygen concentration; however, this signal is also sensitive to a number of other normal and abnormal tissue features. As a result, T2* imaging alone cannot be used to accurately measure vascular oxygenation, much less tissue oxygenation. However, with separate MR imaging measurements of other tissue factors influencing T2*, it might be possible to noninvasively image local tissue oxygen. Such a capability could be of great clinical importance, not only in patients with hypoxic or ischemic disease states, but also in patients with other pathologic conditions that have abnormal respiratory metabolism, such as cancer.
MeSH term(s)	Animals ; Brain Neoplasms/diagnosis ; Brain Neoplasms/metabolism ; Glioblastoma/diagnosis ; Glioblastoma/metabolism ; Magnetic Resonance Imaging/methods ; Male ; Oximetry/methods ; Oxygen/analysis
Chemical Substances	Oxygen (S88TT14065)
Language	English
Publishing date	2012-02
Publishing country	United States
Document type	Comment ; Journal Article
ZDB-ID	80324-8
ISSN	1527-1315 ; 0033-8419
ISSN (online)	1527-1315
ISSN	0033-8419
DOI	10.1148/radiol.11112449
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