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  1. Article: Smallholder knowledge-practices and smallholding animals: Threats or alternatives to agricultural biosecurity?

    Holloway, L.

    Journal of rural studies

    2019  Volume 69, Issue -, Page(s) 19

    Language English
    Document type Article
    ZDB-ID 252458-2
    ISSN 0743-0167
    Database Current Contents Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Z 4225: Show issues

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  2. Article: COVID-19: Has the Standard of Care Changed and Are Providers Immune from Liability?

    Holloway, Lorinda

    Missouri medicine

    2020  Volume 117, Issue 3, Page(s) 199–201

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Health Personnel/legislation & jurisprudence ; Humans ; Liability, Legal ; Missouri/epidemiology ; Pandemics/legislation & jurisprudence ; Pneumonia, Viral ; SARS-CoV-2 ; Standard of Care/legislation & jurisprudence
    Keywords covid19
    Language English
    Publishing date 2020-07-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 427362-x
    ISSN 0026-6620
    ISSN 0026-6620
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 182: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: COVID-19 and a shifted perspective on infectious farm animal disease research.

    Holloway, Lewis

    Agriculture and human values

    2020  Volume 37, Issue 3, Page(s) 573–574

    Keywords covid19
    Language English
    Publishing date 2020-05-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 743547-2
    ISSN 1572-8366 ; 0889-048X
    ISSN (online) 1572-8366
    ISSN 0889-048X
    DOI 10.1007/s10460-020-10072-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  4. Article: Exploring farmer and advisor lameness management behaviors using the COM-B model of behavior change.

    Clark, Beth / Proctor, Amy / Mahon, Niamh / Holloway, Lewis

    Frontiers in veterinary science

    2024  Volume 11, Page(s) 1258906

    Abstract: Introduction: This paper applies the COM-B framework to farmer and farm advisor understandings and responses to lameness in sheep, beef, and dairy systems. It reflects on how farmers' and advisors' capability, opportunity, and motivation (COM-B) ... ...

    Abstract Introduction: This paper applies the COM-B framework to farmer and farm advisor understandings and responses to lameness in sheep, beef, and dairy systems. It reflects on how farmers' and advisors' capability, opportunity, and motivation (COM-B) influence lameness management practices in these farming systems, and considers the interaction between these three factors, and stakeholders' behavior.
    Methods: Interviews with 29 farmers and 21 farm advisors in the north of England were conducted. Thematic analysis was undertaken with results categorized in relation to the COM-B framework focusing on barriers and enablers of lameness management. Use of the COM-B model provides a useful means of understanding the underlying behavioral mechanisms that contribute toward the persistence of lameness. This includes the complexities and interactions which hamper implementation of lameness management best practice.
    Results and discussion: The findings highlight three key areas to address with interventions to improve lameness management on farm: (1) removing physical and social barriers for lameness management; (2) improving psychological capability and motivation for lameness management; and (3) facilitating relationships and developing communication between farmers and advisors. In particular, the value of exploring both farmer and advisor perspectives on behavior in the animal health context is demonstrated. Future interventions should look to target these three areas to overcome barriers and focus on factors that enable positive lameness practices to occur.
    Language English
    Publishing date 2024-01-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2834243-4
    ISSN 2297-1769
    ISSN 2297-1769
    DOI 10.3389/fvets.2024.1258906
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Changing interventions in farm animal health and welfare: A governmentality approach to the case of lameness

    Holloway, L. / Mahon, N. / Clark, B. / Proctor, A.

    Journal of rural studies

    2023  Volume 97, Issue -, Page(s) 95

    Language English
    Document type Article
    ZDB-ID 252458-2
    ISSN 0743-0167
    Database Current Contents Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

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  6. Article ; Online: Dosimetric Impact of Delineation and Motion Uncertainties on the Heart and Substructures in Lung Cancer Radiotherapy.

    Chin, V / Finnegan, R N / Chlap, P / Holloway, L / Thwaites, D I / Otton, J / Delaney, G P / Vinod, S K

    Clinical oncology (Royal College of Radiologists (Great Britain))

    2024  

    Abstract: Aims: Delineation variations and organ motion produce difficult-to-quantify uncertainties in planned radiation doses to targets and organs at risk. Similar to manual contouring, most automatic segmentation tools generate single delineations per ... ...

    Abstract Aims: Delineation variations and organ motion produce difficult-to-quantify uncertainties in planned radiation doses to targets and organs at risk. Similar to manual contouring, most automatic segmentation tools generate single delineations per structure; however, this does not indicate the range of clinically acceptable delineations. This study develops a method to generate a range of automatic cardiac structure segmentations, incorporating motion and delineation uncertainty, and evaluates the dosimetric impact in lung cancer.
    Materials and methods: Eighteen cardiac structures were delineated using a locally developed auto-segmentation tool. It was applied to lung cancer planning CTs for 27 curative (planned dose ≥50 Gy) cases, and delineation variations were estimated by using ten mapping-atlases to provide separate substructure segmentations. Motion-related cardiac segmentation variations were estimated by auto-contouring structures on ten respiratory phases for 9/27 cases that had 4D-planning CTs. Dose volume histograms (DVHs) incorporating these variations were generated for comparison.
    Results: Variations in mean doses (Dmean), defined as the range in values across ten feasible auto-segmentations, were calculated for each cardiac substructure. Over the study cohort the median variations for delineation uncertainty and motion were 2.20-11.09 Gy and 0.72-4.06 Gy, respectively. As relative values, variations in Dmean were between 18.7%-65.3% and 7.8%-32.5% for delineation uncertainty and motion, respectively. Doses vary depending on the individual planned dose distribution, not simply on segmentation differences, with larger dose variations to cardiac structures lying within areas of steep dose gradient.
    Conclusion: Radiotherapy dose uncertainties from delineation variations and respiratory-related heart motion were quantified using a cardiac substructure automatic segmentation tool. This predicts the 'dose range' where doses to structures are most likely to fall, rather than single DVH curves. This enables consideration of these uncertainties in cardiotoxicity research and for future plan optimisation. The tool was designed for cardiac structures, but similar methods are potentially applicable to other OARs.
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 1036844-9
    ISSN 1433-2981 ; 0936-6555
    ISSN (online) 1433-2981
    ISSN 0936-6555
    DOI 10.1016/j.clon.2024.04.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2774: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Automated detection, delineation and quantification of whole-body bone metastasis using FDG-PET/CT images.

    Nigam, R / Field, M / Harris, G / Barton, M / Carolan, M / Metcalfe, P / Holloway, L

    Physical and engineering sciences in medicine

    2023  Volume 46, Issue 2, Page(s) 851–863

    Abstract: Non-small cell lung cancer (NSCLC) patients with the metastatic spread of disease to the bone have high morbidity and mortality. Stereotactic ablative body radiotherapy increases the progression free survival and overall survival of these patients with ... ...

    Abstract Non-small cell lung cancer (NSCLC) patients with the metastatic spread of disease to the bone have high morbidity and mortality. Stereotactic ablative body radiotherapy increases the progression free survival and overall survival of these patients with oligometastases. FDG-PET/CT, a functional imaging technique combining positron emission tomography (PET) with 18 F-fluorodeoxyglucose (FDG) and computer tomography (CT) provides improved staging and identification of treatment response. It is also associated with reduction in size of the radiotherapy tumour volume delineation compared with CT based contouring in radiotherapy, thus allowing for dose escalation to the target volume with lower doses to the surrounding organs at risk. FDG-PET/CT is increasingly being used for the clinical management of NSCLC patients undergoing radiotherapy and has shown high sensitivity and specificity for the detection of bone metastases in these patients. Here, we present a software tool for detection, delineation and quantification of bone metastases using FDG-PET/CT images. The tool extracts standardised uptake values (SUV) from FDG-PET images for auto-segmentation of bone lesions and calculates volume of each lesion and associated mean and maximum SUV. The tool also allows automatic statistical validation of the auto-segmented bone lesions against the manual contours of a radiation oncologist. A retrospective review of FDG-PET/CT scans of more than 30 candidate NSCLC patients was performed and nine patients with one or more metastatic bone lesions were selected for the present study. The SUV threshold prediction model was designed by splitting the cohort of patients into a subset of 'development' and 'validation' cohorts. The development cohort yielded an optimum SUV threshold of 3.0 for automatic detection of bone metastases using FDG-PET/CT images. The validity of the derived optimum SUV threshold on the validation cohort demonstrated that auto-segmented and manually contoured bone lesions showed strong concordance for volume of bone lesion (r = 0.993) and number of detected lesions (r = 0.996). The tool has various applications in radiotherapy, including but not limited to studies determining optimum SUV threshold for accurate and standardised delineation of bone lesions and in scientific studies utilising large patient populations for instance for investigation of the number of metastatic lesions that can be treated safety with an ablative dose of radiotherapy without exceeding the normal tissue toxicity.
    MeSH term(s) Humans ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging ; Carcinoma, Non-Small-Cell Lung/pathology ; Carcinoma, Non-Small-Cell Lung/radiotherapy ; Fluorodeoxyglucose F18 ; Positron Emission Tomography Computed Tomography ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/radiotherapy ; Tomography, X-Ray Computed/methods ; Positron-Emission Tomography/methods ; Computers
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D)
    Language English
    Publishing date 2023-05-01
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2662-4737
    ISSN (online) 2662-4737
    DOI 10.1007/s13246-023-01258-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: COVID-19 and a shifted perspective on infectious farm animal disease research

    Holloway, Lewis

    Agriculture and Human Values

    2020  Volume 37, Issue 3, Page(s) 573–574

    Keywords Agronomy and Crop Science ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 743547-2
    ISSN 1572-8366 ; 0889-048X
    ISSN (online) 1572-8366
    ISSN 0889-048X
    DOI 10.1007/s10460-020-10072-2
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    In stock of ZB MED Bonn / Germany

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