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  1. Article ; Online: The potential of young vegetative quinoa (Chenopodium quinoa) as a new sustainable protein-rich winter leafy crop under Mediterranean climate.

    Rubinovich, Lior / Dagan, Reut / Lugasi, Yaron / Galili, Shmuel / Asher, Aviv

    PloS one

    2023  Volume 18, Issue 12, Page(s) e0290000

    Abstract: ... is a well-known but under-utilized protein-rich crop, commonly cultivated for grain production ... vegetative quinoa in Mediterranean countries as a new sustainable, protein-rich winter leafy crop are ...

    Abstract The demand for protein products has significantly risen in the last few years. In western countries, animals are the primary source of protein; however, plants could take a share of this market due to lower production costs, among other advantages such as a lower environmental footprint. Quinoa (Chenopodium quinoa Willd.) is a well-known but under-utilized protein-rich crop, commonly cultivated for grain production. These plants were recently evaluated for their use as a non-traditional, green leafy crop. Here we assessed the potential of young vegetative quinoa as a new sustainable winter leafy crop in Israel-serving as a model for Mediterranean semi-arid regions, by evaluating yield, protein content and quality. Five quinoa accessions were sown on three winter sowing dates over two consecutive years. Plants were harvested when they reached 10% dry matter (DM). DM yield ranged between 574 and 1,982 kg ha-1 and was generally higher in the second year. Protein content ranged from 14.4-34% and was generally higher in the first year. Protein yield ranged from 111-471 kg ha-1 and was greatest on the December sowing date. DM and protein yields were positively correlated with plant density. Protein content was negatively correlated with plant density and DM yield. Our findings show that 200 g DM of young vegetative quinoa can meet the protein and most essential amino acid requirements for a 70 kg human adult. Prospects for cultivating young vegetative quinoa in Mediterranean countries as a new sustainable, protein-rich winter leafy crop are therefore high, as supported by its high protein yields and quality, and its requirement for only scant irrigation. Further studies should examine economic and other agrotechnical parameters toward the geographical distribution and expansion of young vegetative quinoa cultivation.
    MeSH term(s) Humans ; Animals ; Chenopodium quinoa/chemistry ; Climate ; Seasons ; Edible Grain ; Israel
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0290000
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The potential of young vegetative quinoa (Chenopodium quinoa) as a new sustainable protein-rich winter leafy crop under Mediterranean climate

    Lior Rubinovich / Reut Dagan / Yaron Lugasi / Shmuel Galili / Aviv Asher

    PLoS ONE, Vol 18, Iss

    2023  Volume 12

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Imaging Review of Pediatric Monogenic CNS Vasculopathy with Genetic Correlation.

    Gupta, Neetika / Miller, Elka / Bhatia, Aashim / Richer, Julie / Aviv, Richard I / Wilson, Nagwa

    Radiographics : a review publication of the Radiological Society of North America, Inc

    2024  Volume 44, Issue 5, Page(s) e230087

    Abstract: Monogenic cerebral vasculopathy is a rare but progressively recognizable cause of pediatric cerebral vasculopathy manifesting as early as fetal life. These monogenic cerebral vasculopathies can be silent or manifest variably as fetal or neonatal distress, ...

    Abstract Monogenic cerebral vasculopathy is a rare but progressively recognizable cause of pediatric cerebral vasculopathy manifesting as early as fetal life. These monogenic cerebral vasculopathies can be silent or manifest variably as fetal or neonatal distress, neurologic deficit, developmental delay, cerebral palsy, seizures, or stroke. The radiologic findings can be nonspecific, but the presence of disease-specific cerebral and extracerebral imaging features can point to a diagnosis and guide genetic testing, allowing targeted treatment. The authors review the existing literature describing the frequently encountered and rare monogenic cerebral vascular disorders affecting young patients and describe the relevant pathogenesis, with an attempt to categorize them based on the defective step in vascular homeostasis and/or signaling pathways and characteristic cerebrovascular imaging findings. The authors also highlight the role of imaging and a dedicated imaging protocol in identification of distinct cerebral and extracerebral findings crucial in the diagnostic algorithm and selection of genetic testing. Early and precise recognition of these entities allows timely intervention, preventing or delaying complications and thereby improving quality of life. It is also imperative to identify the specific pathogenic variant and pattern of inheritance for satisfactory genetic counseling and care of at-risk family members. Last, the authors present an image-based approach to these young-onset monogenic cerebral vasculopathies that is guided by the size and predominant radiologic characteristics of the affected vessel with reasonable overlap.
    MeSH term(s) Infant, Newborn ; Humans ; Child ; Quality of Life ; Stroke ; Diagnostic Imaging ; Genetic Testing
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603172-9
    ISSN 1527-1323 ; 0271-5333
    ISSN (online) 1527-1323
    ISSN 0271-5333
    DOI 10.1148/rg.230087
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Editorial for "High-Resolution Vessel Wall MR Imaging in Diagnosis and Length Measurement of Cerebral Arterial Thrombosis: A Feasibility Study".

    Hsu, Charlie Chia-Tsong / Aviv, Richard I

    Journal of magnetic resonance imaging : JMRI

    2022  Volume 56, Issue 4, Page(s) 1275–1276

    MeSH term(s) Feasibility Studies ; Humans ; Magnetic Resonance Angiography/methods ; Magnetic Resonance Imaging/methods ; Thrombosis/diagnostic imaging
    Language English
    Publishing date 2022-03-18
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1146614-5
    ISSN 1522-2586 ; 1053-1807
    ISSN (online) 1522-2586
    ISSN 1053-1807
    DOI 10.1002/jmri.28171
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: An Overview of Transcranial Magnetic Stimulation and Its Application in Multiple Sclerosis

    Alex Sy / Simon Thebault / Richard I. Aviv / Angela M. Auriat

    Applied Sciences, Vol 13, Iss 23, p

    2023  Volume 12679

    Abstract: Transcranial magnetic stimulation (TMS) is a flexible, non-invasive technique that involves the production of a brief magnetic field to stimulate the conductive structures of the brain. When TMS is specifically employed as a single- or paired-pulse over ... ...

    Abstract Transcranial magnetic stimulation (TMS) is a flexible, non-invasive technique that involves the production of a brief magnetic field to stimulate the conductive structures of the brain. When TMS is specifically employed as a single- or paired-pulse over the motor cortex, the function and integrity of the descending motor pathways can be assessed through the generation of a motor evoked potential (MEP). Important MEP-derived measures include the motor threshold, MEP amplitude and latency, central motor conduction time, silent period, intracortical inhibition, and intracortical facilitation. These functional measures may have use in individuals with multiple sclerosis (MS), a common chronic autoimmune disorder of the central nervous system, due to their useful diagnostic and prognostic implications. As a representation of excitability and conductivity, TMS measures may have the potential to serve as objective markers of corticospinal tract integrity, which is a major aspect of clinical disability in MS. Additionally, TMS may be employed to help monitor and provide insight on the effects of therapies for patients with MS over a longitudinal timeframe. In this review, we focus on the application of TMS in the context of MS, with an emphasis on the relationship between TMS measures and widely used clinical assessment measures used for patients with MS.
    Keywords transcranial magnetic stimulation ; TMS ; multiple sclerosis ; MS ; motor evoked potentials ; central motor conduction time ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 610
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Childhood Cerebral Vasculitis : A Multidisciplinary Approach.

    Gupta, Neetika / Hiremath, Shivaprakash B / Aviv, Richard I / Wilson, Nagwa

    Clinical neuroradiology

    2022  Volume 33, Issue 1, Page(s) 5–20

    Abstract: Cerebral vasculitis is increasingly recognized as a common cause of pediatric arterial stroke. It can present with focal neurological deficits, psychiatric manifestations, seizures, and encephalopathy. The etiopathogenesis of childhood cerebral ... ...

    Abstract Cerebral vasculitis is increasingly recognized as a common cause of pediatric arterial stroke. It can present with focal neurological deficits, psychiatric manifestations, seizures, and encephalopathy. The etiopathogenesis of childhood cerebral vasculitis (CCV) is multifactorial, making an inclusive classification challenging. In this review, we describe the common and uncommon CCV with a comprehensive discussion of etiopathogenesis, the role of various imaging modalities, and advanced techniques in diagnosing CCV. We also highlight the implications of relevant clinical, laboratory, and genetic findings to reach the final diagnosis. Based on the clinicoradiological findings, a stepwise diagnostic approach is proposed to facilitate CCV diagnosis and rule out potential mimics. Identification of key clinical manifestations, pertinent blood and cerebrospinal fluid results, and evaluation of central nervous system vessels for common and disease-specific findings will be emphasized. We discuss the role of magnetic resonance imaging, MR angiography, and vessel wall imaging as the imaging investigation of choice, and reservation of catheter angiography as a problem-solving tool. We emphasize the utility of brain and leptomeningeal biopsy for diagnosis and exclusion of imitators and masqueraders.
    MeSH term(s) Humans ; Child ; Vasculitis, Central Nervous System/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Brain/pathology ; Stroke/etiology ; Cerebral Angiography
    Language English
    Publishing date 2022-06-24
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2234662-4
    ISSN 1869-1447 ; 0939-7116 ; 1869-1439
    ISSN (online) 1869-1447
    ISSN 0939-7116 ; 1869-1439
    DOI 10.1007/s00062-022-01185-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Correction to: Near-occlusion is difficult to diagnose with common carotid ultrasound methods.

    Johansson, Elias / Vanoli, Davide / Bråten-Johansson, Isa / Law, Lucy / Aviv, Richard I / Fox, Allan J

    Neuroradiology

    2021  Volume 63, Issue 5, Page(s) 823

    Language English
    Publishing date 2021-03-18
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 123305-1
    ISSN 1432-1920 ; 0028-3940
    ISSN (online) 1432-1920
    ISSN 0028-3940
    DOI 10.1007/s00234-021-02696-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Imaging for Predicting Hemorrhagic Transformation of Acute Ischemic Stroke-A Narrative Review.

    Ande, Sudharsana Rao / Grynspan, Jonathan / Aviv, Richard I / Shankar, Jai Jai Shiva

    Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

    2021  Volume 73, Issue 1, Page(s) 194–202

    Abstract: Hemorrhagic transformation is caused by extravasation of blood products from vessels after acute ischemic stroke. It is an undesirable and potentially devastating complication, which occurs in 10%-40% of clinical cases. Hemorrhagic transformation is ... ...

    Abstract Hemorrhagic transformation is caused by extravasation of blood products from vessels after acute ischemic stroke. It is an undesirable and potentially devastating complication, which occurs in 10%-40% of clinical cases. Hemorrhagic transformation is classified into four subtypes based on European cooperative acute stroke study II. Predicting hemorrhagic complications at presentation can be useful life saving/altering decisions for the patient. Also, understanding the mechanisms of hemorrhagic transformation can lead to new treatments and intervention measures. We highlighted various imaging techniques that have been used to predict hemorrhagic transformation. Specifically, we looked at the usefulness of perfusion and permeability imaging for hemorrhagic transformation. Use of imaging to predict hemorrhagic transformation could change patient management that may lead to the prevention of hemorrhagic transformation before it occurs. We concluded that the current evidence is not strong enough to rely on these imaging parameters for predicting hemorrhagic transformation and more studies are required.
    MeSH term(s) Brain/diagnostic imaging ; Brain Ischemia/complications ; Brain Ischemia/diagnostic imaging ; Diagnostic Imaging/methods ; Hemorrhage/diagnostic imaging ; Hemorrhage/etiology ; Humans ; Predictive Value of Tests ; Stroke/complications ; Stroke/diagnostic imaging
    Language English
    Publishing date 2021-06-21
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 418190-6
    ISSN 1488-2361 ; 0846-5371 ; 0008-2902
    ISSN (online) 1488-2361
    ISSN 0846-5371 ; 0008-2902
    DOI 10.1177/08465371211018369
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis.

    Miguel, Olivier X / Kaczmarek, Emily / Lee, Inok / Ducharme, Robin / Dingwall-Harvey, Alysha L J / Rennicks White, Ruth / Bonin, Brigitte / Aviv, Richard I / Hawken, Steven / Armour, Christine M / Dick, Kevin / Walker, Mark C

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9013

    Abstract: Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularly in the field of medical imaging. In this study, we investigated the application of deep learning models in early detection of fetal kidney anomalies. To ...

    Abstract Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularly in the field of medical imaging. In this study, we investigated the application of deep learning models in early detection of fetal kidney anomalies. To provide an enhanced interpretation of those models' predictions, we proposed an adapted two-class representation and developed a multi-class model interpretation approach for problems with more than two labels and variable hierarchical grouping of labels. Additionally, we employed the explainable AI (XAI) visualization tools Grad-CAM and HiResCAM, to gain insights into model predictions and identify reasons for misclassifications. The study dataset consisted of 969 ultrasound images from unique patients; 646 control images and 323 cases of kidney anomalies, including 259 cases of unilateral urinary tract dilation and 64 cases of unilateral multicystic dysplastic kidney. The best performing model achieved a cross-validated area under the ROC curve of 91.28% ± 0.52%, with an overall accuracy of 84.03% ± 0.76%, sensitivity of 77.39% ± 1.99%, and specificity of 87.35% ± 1.28%. Our findings emphasize the potential of deep learning models in predicting kidney anomalies from limited prenatal ultrasound imagery. The proposed adaptations in model representation and interpretation represent a novel solution to multi-class prediction problems.
    MeSH term(s) Pregnancy ; Female ; Humans ; Deep Learning ; Ultrasonography, Prenatal/methods ; Prenatal Diagnosis/methods ; Kidney Diseases/diagnostic imaging ; Urinary Tract/abnormalities
    Language English
    Publishing date 2024-04-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59248-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Neuroimaging Scoring Tools to Differentiate Inflammatory Central Nervous System Small-Vessel Vasculitis: A Need for Artificial Intelligence/Machine Learning?-A Scoping Review.

    Damer, Alameen / Chaudry, Emaan / Eftekhari, Daniel / Benseler, Susanne M / Safi, Frozan / Aviv, Richard I / Tyrrell, Pascal N

    Tomography (Ann Arbor, Mich.)

    2023  Volume 9, Issue 5, Page(s) 1811–1828

    Abstract: Neuroimaging has a key role in identifying small-vessel vasculitis from common diseases it mimics, such as multiple sclerosis. Oftentimes, a multitude of these conditions present similarly, and thus diagnosis is difficult. To date, there is no ... ...

    Abstract Neuroimaging has a key role in identifying small-vessel vasculitis from common diseases it mimics, such as multiple sclerosis. Oftentimes, a multitude of these conditions present similarly, and thus diagnosis is difficult. To date, there is no standardized method to differentiate between these diseases. This review identifies and presents existing scoring tools that could serve as a starting point for integrating artificial intelligence/machine learning (AI/ML) into the clinical decision-making process for these rare diseases. A scoping literature review of EMBASE and MEDLINE included 114 articles to evaluate what criteria exist to diagnose small-vessel vasculitis and common mimics. This paper presents the existing criteria of small-vessel vasculitis conditions and mimics them to guide the future integration of AI/ML algorithms to aid in diagnosing these conditions, which present similarly and non-specifically.
    MeSH term(s) Humans ; Artificial Intelligence ; Machine Learning ; Vasculitis/diagnostic imaging ; Neuroimaging ; Central Nervous System
    Language English
    Publishing date 2023-10-02
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2379-139X
    ISSN (online) 2379-139X
    DOI 10.3390/tomography9050144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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