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  1. Article ; Online: Extra-capsular floating fat at the extremity: a review.

    Allen, Vincent / Tofighi, Salar / Davis, Derik L

    Skeletal radiology

    2023  Volume 52, Issue 12, Page(s) 2367–2376

    Abstract: Extra-capsular floating fat may present in a variety of non-articular locations at the extremity. Manifestation of floating fat or fat-fluid level(s) outside of a joint is a marker of trauma or infection. Recognizing radiologic sign(s) of extra-capsular ... ...

    Abstract Extra-capsular floating fat may present in a variety of non-articular locations at the extremity. Manifestation of floating fat or fat-fluid level(s) outside of a joint is a marker of trauma or infection. Recognizing radiologic sign(s) of extra-capsular floating fat can aid radiologists to provide an informed differential diagnosis and facilitate clinical care. This review discusses the etiology, mechanisms, and imaging appearance of extracapsular floating fat in specific anatomic and non-anatomic locations at the extremity.
    MeSH term(s) Humans ; Diagnosis, Differential ; Extremities/diagnostic imaging
    Language English
    Publishing date 2023-05-03
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 527592-1
    ISSN 1432-2161 ; 0364-2348
    ISSN (online) 1432-2161
    ISSN 0364-2348
    DOI 10.1007/s00256-023-04356-x
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    Zs.A 1304: Show issues Location:
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  2. Article: An Evolution of Reporting: Identifying the Missing Link.

    Harsini, Sara / Tofighi, Salar / Eibschutz, Liesl / Quinn, Brian / Gholamrezanezhad, Ali

    Diagnostics (Basel, Switzerland)

    2022  Volume 12, Issue 7

    Abstract: In recent years, radiologic imaging has undergone tremendous technological advances and is now a pillar of diagnostic and treatment algorithms in clinical medicine. The increased complexity and volume of medical imaging has led clinicians to become ever ... ...

    Abstract In recent years, radiologic imaging has undergone tremendous technological advances and is now a pillar of diagnostic and treatment algorithms in clinical medicine. The increased complexity and volume of medical imaging has led clinicians to become ever more reliant on radiologists to both identify and interpret patient studies. A radiologist's report provides key insights into a patient's immediate state of health, information that is vital when choosing the most appropriate next steps in management. As errors in imaging interpretation or miscommunication of results can greatly impair patient care, identifying common error sources is vital to minimizing their occurrence. Although mistakes in medical imaging are practically inevitable, changes to the delivery of imaging reporting and the addition of artificial intelligence algorithms to analyze clinicians' communication skills can minimize the impact of these errors, keep up with the continuously evolving landscape of medical imaging, and ultimately close the communication gap.
    Language English
    Publishing date 2022-07-21
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics12071761
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  3. Article ; Online: An Evolution of Reporting

    Sara Harsini / Salar Tofighi / Liesl Eibschutz / Brian Quinn / Ali Gholamrezanezhad

    Diagnostics, Vol 12, Iss 1761, p

    Identifying the Missing Link

    2022  Volume 1761

    Abstract: In recent years, radiologic imaging has undergone tremendous technological advances and is now a pillar of diagnostic and treatment algorithms in clinical medicine. The increased complexity and volume of medical imaging has led clinicians to become ever ... ...

    Abstract In recent years, radiologic imaging has undergone tremendous technological advances and is now a pillar of diagnostic and treatment algorithms in clinical medicine. The increased complexity and volume of medical imaging has led clinicians to become ever more reliant on radiologists to both identify and interpret patient studies. A radiologist’s report provides key insights into a patient’s immediate state of health, information that is vital when choosing the most appropriate next steps in management. As errors in imaging interpretation or miscommunication of results can greatly impair patient care, identifying common error sources is vital to minimizing their occurrence. Although mistakes in medical imaging are practically inevitable, changes to the delivery of imaging reporting and the addition of artificial intelligence algorithms to analyze clinicians’ communication skills can minimize the impact of these errors, keep up with the continuously evolving landscape of medical imaging, and ultimately close the communication gap.
    Keywords interprofessional communication ; interprofessional collaboration ; patient safety ; closed-loop reporting ; artificial intelligence ; Medicine (General) ; R5-920
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Low-dose CT in COVID-19 outbreak: radiation safety, image wisely, and image gently pledge.

    Tofighi, Salar / Najafi, Saeideh / Johnston, Sean K / Gholamrezanezhad, Ali

    Emergency radiology

    2020  Volume 27, Issue 6, Page(s) 601–605

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Humans ; Infection Control ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Radiation Dosage ; Radiation Protection ; Radiographic Image Interpretation, Computer-Assisted ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
    Keywords covid19
    Language English
    Publishing date 2020-05-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-020-01784-3
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    Zs.A 4880: Show issues Location:
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  5. Article ; Online: Imaging review of ocular and optic nerve trauma.

    Balakrishnan, Sudheer / Harsini, Sara / Reddy, Sravanthi / Tofighi, Salar / Gholamrezanezhad, Ali

    Emergency radiology

    2019  Volume 27, Issue 1, Page(s) 75–85

    Abstract: Traumatic ocular injuries account for a substantial number of emergency department visits annually and represent a significant source of patient disability. A thorough understanding of ocular/optic nerve anatomy and traumatic pathology is fundamental in ... ...

    Abstract Traumatic ocular injuries account for a substantial number of emergency department visits annually and represent a significant source of patient disability. A thorough understanding of ocular/optic nerve anatomy and traumatic pathology is fundamental in the accurate and efficient interpretation of emergency neuroradiology. This article will review relevant anatomy, imaging protocols, clinical symptomatology, and key imaging findings associated with the broad spectrum of traumatic ocular and optic nerve pathology.
    MeSH term(s) Eye/anatomy & histology ; Eye Injuries/diagnostic imaging ; Humans ; Optic Nerve Injuries/diagnostic imaging
    Language English
    Publishing date 2019-11-07
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-019-01730-y
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    Zs.A 4880: Show issues Location:
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  7. Article ; Online: Low-dose CT in COVID-19 outbreak

    Tofighi, Salar / Najafi, Saeideh / Johnston, Sean K. / Gholamrezanezhad, Ali

    Emergency Radiology ; ISSN 1070-3004 1438-1435

    radiation safety, image wisely, and image gently pledge

    2020  

    Keywords Radiology Nuclear Medicine and imaging ; Emergency Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    DOI 10.1007/s10140-020-01784-3
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Reason for Exam Imaging Reporting and Data System: Consensus Reached on Quality Assessment of Radiology Requisitions.

    Tofighi, Salar / Abedi, Aidin / Salehi, Sana / Myers, Lee / Reddy, Sravanthi / Gholamrezanezhad, Ali

    Journal of patient safety

    2020  Volume 17, Issue 4, Page(s) e255–e261

    Abstract: Objective: The aim of this study was to reach consensus on quality assessment of clinical information in imaging requisitions using Reason for exam Imaging Reporting and Data System (RI-RADS).: Methods: A Delphi study was conducted in September 2018 ... ...

    Abstract Objective: The aim of this study was to reach consensus on quality assessment of clinical information in imaging requisitions using Reason for exam Imaging Reporting and Data System (RI-RADS).
    Methods: A Delphi study was conducted in September 2018 with a panel of 87 radiologists with diverse levels of experience from various settings (community hospitals, private hospitals, university hospitals, and clinics), of which 74.7% completed the survey. The agreement was assessed in the following subjects: (a) presumed effect of standardization, (b) the standardized system for information, (c) the scoring system for evaluation of requisitions, and (d) the implementation of RI-RADS. The consensus threshold was set at 51% responding (strongly) agree. The rate of lawsuits preventable with clinical information was also assessed.
    Results: Consensus was reached on all objectives of the study with a high level of agreement. Radiologists agreed on the need for standardization of imaging requisitions and attributed it to increased speed and accuracy of interpretations. Three categories of information were determined as key indicators of quality: impression, clinical findings, and clinical question. The scoring system is intended to grade requisitions based on the presence of these categories. Radiologists also agreed that RI-RADS will encourage physicians to improve requisitions. Among radiologists who responded to the survey, 12.6% had experienced at least one lawsuit potentially preventable with sufficient information in requisitions.
    Conclusions: Reason for exam Imaging Reporting and Data System can be used as a standard for quality assessment of requisitions. Its use may improve the quality of patient care and reduce lawsuits against radiologists.
    MeSH term(s) Consensus ; Diagnostic Imaging ; Humans ; Radiology
    Language English
    Publishing date 2020-03-13
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2394324-5
    ISSN 1549-8425 ; 1549-8417
    ISSN (online) 1549-8425
    ISSN 1549-8417
    DOI 10.1097/PTS.0000000000000653
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    Zs.A 6583: Show issues Location:
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  9. Article ; Online: Reason for exam Imaging Reporting and Data System (RI-RADS): A grading system to standardize radiology requisitions.

    Abedi, Aidin / Tofighi, Salar / Salehi, Sana / Latterman, Paul T / Basques, Kyle D / Gholamrezanezhad, Ali

    European journal of radiology

    2019  Volume 120, Page(s) 108661

    Abstract: Radiologists often encounter imaging requisitions that lack important information needed for accurate diagnostic studies. Reason for exam Imaging Reporting and Data System (RI-RADS) is proposed as a grading system for evaluation of the quality of ... ...

    Abstract Radiologists often encounter imaging requisitions that lack important information needed for accurate diagnostic studies. Reason for exam Imaging Reporting and Data System (RI-RADS) is proposed as a grading system for evaluation of the quality of clinically pertinent information provided in imaging requisitions. Three categories of information are suggested as key indicators of quality: impression, clinical findings, and the diagnostic question. This scheme is intended to improve the quality of imaging requisitions and overall patient care.
    MeSH term(s) Data Systems ; Diagnostic Errors/prevention & control ; Humans ; Medical Records/standards ; Quality Improvement ; Radiography/standards ; Radiology/standards ; Radiology Information Systems/standards ; Research Design
    Language English
    Publishing date 2019-09-09
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2019.108661
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    Zs.A 1630: Show issues Location:
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  10. Article: B cells and T cells abnormalities in patients with selective IgA deficiency.

    Bagheri, Yasser / Moeini Shad, Tannaz / Namazi, Shideh / Tofighi Zavareh, Farzaneh / Azizi, Gholamreza / Salami, Fereshteh / Sadani, Somayeh / Hosseini, Ali / Saeidi, Mohsen / Pashangzadeh, Salar / Delavari, Samaneh / Mirminachi, Babak / Rezaei, Nima / Abolhassani, Hassan / Aghamohammadi, Asghar / Yazdani, Reza

    Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology

    2023  Volume 19, Issue 1, Page(s) 23

    Abstract: Background: Selective IgA deficiency (SIgAD) is the most prevalent inborn errors of immunity with almost unknown etiology. This study aimed to investigate the clinical diagnostic and prognostic values of lymphocyte subsets and function in symptomatic ... ...

    Abstract Background: Selective IgA deficiency (SIgAD) is the most prevalent inborn errors of immunity with almost unknown etiology. This study aimed to investigate the clinical diagnostic and prognostic values of lymphocyte subsets and function in symptomatic SIgAD patients.
    Methods: A total of 30 available SIgAD patients from the Iranian registry and 30 age-sex-matched healthy controls were included in the present study. We analyzed B and T cell peripheral subsets and T cell proliferation assay by flow cytometry in SIgAD patients with mild and severe clinical phenotypes.
    Results: Our results indicated a significant increase in naïve and transitional B cells and a strong decrease in marginal zone-like and switched memory B-cells in SIgAD patients. We found that naïve and central memory CD4
    Conclusion: SIgAD patients have varied cellular and humoral deficiencies. Therefore, T cell and B cell assessment might help in better understanding the heterogeneous pathogenesis and prognosis estimation of the disease.
    Language English
    Publishing date 2023-03-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2434973-2
    ISSN 1710-1492 ; 1710-1484
    ISSN (online) 1710-1492
    ISSN 1710-1484
    DOI 10.1186/s13223-023-00775-6
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