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  1. Article ; Online: G6PD deficiency in patients identified as female.

    Bain, Barbara J / Myburgh, Jane / Lund, Kirstin / Chaidos, Aristeidis

    American journal of hematology

    2022  Volume 98, Issue 2, Page(s) 359–360

    MeSH term(s) Humans ; Female ; Glucosephosphate Dehydrogenase Deficiency/complications ; Glucosephosphate Dehydrogenase Deficiency/genetics ; Glucosephosphate Dehydrogenase ; Prevalence
    Chemical Substances Glucosephosphate Dehydrogenase (EC 1.1.1.49)
    Language English
    Publishing date 2022-09-12
    Publishing country United States
    Document type Case Reports
    ZDB-ID 196767-8
    ISSN 1096-8652 ; 0361-8609
    ISSN (online) 1096-8652
    ISSN 0361-8609
    DOI 10.1002/ajh.26704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Tocilizumab's efficacy in patients with Coronavirus Disease 2019 (COVID-19) is determined by the presence of cytokine storm.

    Andrianopoulos, Ioannis / Papathanasiou, Athanasios / Papathanakos, Georgios / Chaidos, Aristeidis / Koulouras, Vasilios

    Journal of medical virology

    2020  Volume 93, Issue 1, Page(s) 120–121

    MeSH term(s) Antibodies, Monoclonal, Humanized ; COVID-19/drug therapy ; Cytokine Release Syndrome ; Humans ; Pneumonia ; SARS-CoV-2
    Chemical Substances Antibodies, Monoclonal, Humanized ; tocilizumab (I031V2H011)
    Keywords covid19
    Language English
    Publishing date 2020-06-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.26209
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Interleukin 6-blockade treatment for severe COVID-19 in two patients with multiple myeloma.

    Chaidos, Aristeidis / Katsarou, Alexia / Mustafa, Chira / Milojkovic, Dragana / Karadimitris, Anastasios

    British journal of haematology

    2020  Volume 190, Issue 1, Page(s) e9–e11

    MeSH term(s) Aged ; Antibodies, Monoclonal, Humanized/administration & dosage ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/drug therapy ; Humans ; Interleukin-6/antagonists & inhibitors ; Male ; Middle Aged ; Multiple Myeloma/drug therapy ; Multiple Myeloma/virology ; Neoplasm Proteins/administration & dosage ; Pandemics ; Pneumonia, Viral/drug therapy ; SARS-CoV-2 ; Severity of Illness Index
    Chemical Substances Antibodies, Monoclonal, Humanized ; IL6 protein, human ; Interleukin-6 ; Neoplasm Proteins ; tocilizumab (I031V2H011)
    Keywords covid19
    Language English
    Publishing date 2020-05-18
    Publishing country England
    Document type Letter
    ZDB-ID 80077-6
    ISSN 1365-2141 ; 0007-1048
    ISSN (online) 1365-2141
    ISSN 0007-1048
    DOI 10.1111/bjh.16787
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Taking the EZ way: Targeting enhancer of zeste homolog 2 in B-cell lymphomas.

    Morschhauser, Franck / Salles, Gilles / Batlevi, Connie Lee / Tilly, Hervé / Chaidos, Aristeidis / Phillips, Tycel / Burke, John / Melnick, Ari

    Blood reviews

    2022  Volume 56, Page(s) 100988

    Abstract: Enhancer of zeste homolog 2 (EZH2) is an epigenetic regulator that controls the normal biology of germinal B cells. Overexpression or mutation of EZH2 is associated with malignant transformation in a number of B-cell malignancies; thus, EZH2 inhibitors ... ...

    Abstract Enhancer of zeste homolog 2 (EZH2) is an epigenetic regulator that controls the normal biology of germinal B cells. Overexpression or mutation of EZH2 is associated with malignant transformation in a number of B-cell malignancies; thus, EZH2 inhibitors are an attractive therapeutic option for these targets. Several EZH2 inhibitors have entered clinical trials, but there remains an important question as to how EZH2 inhibitor mechanism of action differs in patients with mutant and wild-type EZH2. This review discusses the EZH2-driven mechanisms that lead to the development of B-cell lymphomas and act as therapeutic targets. Another key area of investigation is whether EZH2 inhibitors will work synergistically with existing immunomodulatory drugs and chemotherapy regimens. In summary, EZH2 inhibitors show potential as treatment for a range of B-cell lymphomas, and numerous clinical evaluations are currently underway.
    MeSH term(s) Humans ; Enhancer of Zeste Homolog 2 Protein/genetics ; Lymphoma, B-Cell/drug therapy ; Lymphoma, B-Cell/genetics ; Enzyme Inhibitors/therapeutic use ; Neoplasms ; Mutation
    Chemical Substances Enhancer of Zeste Homolog 2 Protein (EC 2.1.1.43) ; Enzyme Inhibitors
    Language English
    Publishing date 2022-07-09
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 639015-8
    ISSN 1532-1681 ; 0268-960X
    ISSN (online) 1532-1681
    ISSN 0268-960X
    DOI 10.1016/j.blre.2022.100988
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data.

    Doran, Simon J / Barfoot, Theo / Wedlake, Linda / Winfield, Jessica M / Petts, James / Glocker, Ben / Li, Xingfeng / Leach, Martin / Kaiser, Martin / Barwick, Tara D / Chaidos, Aristeidis / Satchwell, Laura / Soneji, Neil / Elgendy, Khalil / Sheeka, Alexander / Wallitt, Kathryn / Koh, Dow-Mu / Messiou, Christina / Rockall, Andrea

    Insights into imaging

    2024  Volume 15, Issue 1, Page(s) 47

    Abstract: Objectives: MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining "real-world" and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners over a 10-year window at two ... ...

    Abstract Objectives: MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining "real-world" and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners over a 10-year window at two institutions, leading to a need for extensive curation.
    Methods: Curation involved image aggregation, pseudonymisation, allocation between project phases, data cleaning, upload to an XNAT repository visible from multiple sites, annotation, incorporation of machine learning research outputs and quality assurance using programmatic methods.
    Results: A total of 796 whole-body MR imaging sessions from 462 subjects were curated. A major change in scan protocol part way through the retrospective window meant that approximately 30% of available imaging sessions had properties that differed significantly from the remainder of the data. Issues were found with a vendor-supplied clinical algorithm for "composing" whole-body images from multiple imaging stations. Historic weaknesses in a digital video disk (DVD) research archive (already addressed by the mid-2010s) were highlighted by incomplete datasets, some of which could not be completely recovered. The final dataset contained 736 imaging sessions for 432 subjects. Software was written to clean and harmonise data. Implications for the subsequent machine learning activity are considered.
    Conclusions: MALIMAR exemplifies the vital role that curation plays in machine learning studies that use real-world data. A research repository such as XNAT facilitates day-to-day management, ensures robustness and consistency and enhances the value of the final dataset. The types of process described here will be vital for future large-scale multi-institutional and multi-national imaging projects.
    Critical relevance statement: This article showcases innovative data curation methods using a state-of-the-art image repository platform; such tools will be vital for managing the large multi-institutional datasets required to train and validate generalisable ML algorithms and future foundation models in medical imaging.
    Key points: • Heterogeneous data in the MALIMAR study required the development of novel curation strategies. • Correction of multiple problems affecting the real-world data was successful, but implications for machine learning are still being evaluated. • Modern image repositories have rich application programming interfaces enabling data enrichment and programmatic QA, making them much more than simple "image marts".
    Language English
    Publishing date 2024-02-16
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2543323-4
    ISSN 1869-4101
    ISSN 1869-4101
    DOI 10.1186/s13244-023-01591-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Repeatability and test-retest reproducibility of mean apparent diffusion coefficient measurements of focal and diffuse disease in relapsed multiple myeloma at 3T whole body diffusion-weighted MRI (WB-DW-MRI).

    ElGendy, Khalil / Barwick, Tara D / Auner, Holger W / Chaidos, Aristeidis / Wallitt, Kathryn / Sergot, Antoni / Rockall, Andrea

    The British journal of radiology

    2022  Volume 95, Issue 1138, Page(s) 20220418

    Abstract: Objective: To assess the test-retest reproducibility and intra/interobserver agreement of apparent diffusion coefficient (ADC) measurements of myeloma lesions using whole body diffusion-weighted MRI (WB-DW-MRI) at 3T MRI.: Methods: Following ethical ... ...

    Abstract Objective: To assess the test-retest reproducibility and intra/interobserver agreement of apparent diffusion coefficient (ADC) measurements of myeloma lesions using whole body diffusion-weighted MRI (WB-DW-MRI) at 3T MRI.
    Methods: Following ethical approval, 11 consenting patients with relapsed multiple myeloma were prospectively recruited and underwent baseline WB-DW-MRI. For a single bed position, axial DWI was repeated after a short interval to permit test-retest measurements.Mean ADC measurement was performed by two experienced observers. Intra- and interobserver agreement and test-retest reproducibility were assessed, using coefficient of variation (CV) and interclass correlation coefficient (ICC) measures, for diffuse and focal lesions (small ≤10 mm and large >10 mm).
    Results: 47 sites of disease were outlined (23 focal, 24 diffuse) in different bed positions (pelvis = 22, thorax = 20, head and neck = 5). For all lesions, there was excellent intraobserver agreement with ICC of 0.99 (0.98-0.99) and COV of 5%. For interobserver agreement, ICC was 0.89 (0.8-0.934) and COV was 17%. There was poor interobserver agreement for diffuse disease (ICC = 0.46) and small lesions (ICC = 0.54).For test-retest reproducibility, excellent ICC (0.916) and COV (14.5%) values for mean ADC measurements were observed. ICCs of test-retest were similar between focal lesions (0.83) and diffuse infiltration (0.80), while ICCs were higher in pelvic (0.95) compared to thoracic (0.81) region and in small (0.96) compared to large (0.8) lesions.
    Conclusion: ADC measurements of focal lesions in multiple myeloma are repeatable and reproducible, while there is more variation in ADC measurements of diffuse disease in patients with multiple myeloma.
    Advances in knowledge: Mean ADC measurements are repeatable and reproducible in focal lesions in multiple myeloma, while the ADC measurements of diffuse disease in multiple myeloma are more subject to variation. The evidence supports the future potential role of ADC measurements as predictive quantitative biomarker in multiple myeloma.
    MeSH term(s) Biomarkers ; Diffusion Magnetic Resonance Imaging ; Humans ; Magnetic Resonance Imaging ; Multiple Myeloma/diagnostic imaging ; Observer Variation ; Prospective Studies ; Reproducibility of Results
    Chemical Substances Biomarkers
    Language English
    Publishing date 2022-07-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2982-8
    ISSN 1748-880X ; 0007-1285
    ISSN (online) 1748-880X
    ISSN 0007-1285
    DOI 10.1259/bjr.20220418
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Masked crystalline light chain tubulopathy and podocytopathy with focal segmental glomerulosclerosis: a rare MGRS-associated renal lesion.

    Kousios, Andreas / Mcadoo, Stephen / Blakey, Sarah / Moran, Linda / Atta, Maria / Tam, Frederick W K / Cook, H Terence / Chaidos, Aristeidis / Roufosse, Candice

    Histopathology

    2021  Volume 79, Issue 2, Page(s) 265–268

    MeSH term(s) Glomerulosclerosis, Focal Segmental/diagnosis ; Glomerulosclerosis, Focal Segmental/pathology ; Humans ; Kidney/pathology ; Middle Aged ; Paraproteinemias/diagnosis ; Paraproteinemias/pathology ; Podocytes/pathology
    Language English
    Publishing date 2021-05-17
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 131914-0
    ISSN 1365-2559 ; 0309-0167
    ISSN (online) 1365-2559
    ISSN 0309-0167
    DOI 10.1111/his.14363
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Interleukin 6-blockade treatment for severe COVID-19 in two patients with multiple myeloma

    Chaidos, Aristeidis / Katsarou, Alexia / Mustafa, Chira / Milojkovic, Dragana / Karadimitris, Anastasios

    Br J Haematol

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #186499
    Database COVID19

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  9. Article: Tocilizumab's efficacy in patients with Coronavirus Disease 2019 (COVID-19) is determined by the presence of cytokine storm

    Andrianopoulos, Ioannis / Papathanasiou, Athanasios / Papathanakos, Georgios / Chaidos, Aristeidis / Koulouras, Vasilios

    J. med. virol

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #610404
    Database COVID19

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  10. Article ; Online: Interleukin 6‐blockade treatment for severe COVID‐19 in two patients with multiple myeloma

    Chaidos, Aristeidis / Katsarou, Alexia / Mustafa, Chira / Milojkovic, Dragana / Karadimitris, Anastasios

    British Journal of Haematology

    2020  Volume 190, Issue 1

    Keywords Hematology ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 80077-6
    ISSN 1365-2141 ; 0007-1048
    ISSN (online) 1365-2141
    ISSN 0007-1048
    DOI 10.1111/bjh.16787
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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