Bhaskar Dasgupta

Visiting Aprofessor

Anglia Ruskin University

United Kingdom

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Dr. Bhaskar Dasgupta is a Visiting Associate Professor at Anglia Ruskin University, United Kingdom. His research primarily focuses on giant cell arteritis (GCA) and polymyalgia rheumatica, with an emphasis on diagnostic tools and stratified care approaches. Recent publications explore the efficacy of ultrasonography and novel scoring systems in the diagnosis and monitoring of GCA.

Articles (10)

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2025

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2025

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2023

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (2)

Sue Innes

Senior Lecturer

University of Essex

UNITED KINGDOM

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Eugenio De Miguel

MD, PhD, Prof

La Paz University Hospital

SPAIN

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Bhaskar Dasgupta

Research Interests

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Articles (10)

Should all polymyalgia rheumatica be referred to rheumatology? A call for unified stratified specialist care of the GCA-PMR spectrum

Reliability of the OMERACT Giant cell arteritis Ultrasonography Score (OGUS): results of a patient-based exercise involving experts and non-experts in vascular ultrasonography

Response to: ‘Correspondence on ‘Novel ultrasonographic Halo Score for giant cell arteritis: assessment of diagnostic accuracy and association with ocular ischaemia’’ by Evangelatos et al

Response to: ‘Diagnostic value of ultrasound halo count and Halo Score in giant cell arteritis: a retrospective study from routine care’ by Molina Collada et al

Response to: ''Halo Score': missing large vessel giant cell arteritis– do we need a modified 'Halo Score?“ by Chattopadhyay and Ghosh

Response to: ‘Diagnostic accuracy of novel ultrasonographic halo score for giant cell arteritis: methodological issues’ by Ghajari and Sabour

Response to: ‘Correspondence to ‘Slope sign': a feature of large vessel vasculitis?' by Milchert et al

Halo score (temporal artery, its branches and axillary artery) as a diagnostic, prognostic and disease monitoring tool for Giant Cell Arteritis (GCA)

Efficacy and safety of tocilizumab in giant cell arteritis: a single centre NHS experience using imaging (ultrasound and PET-CT) as a diagnostic and monitoring tool

Probability-based algorithm using ultrasound and additional tests for suspected GCA in a fast-track clinic

Collaborators (2)

Sue Innes

Eugenio De Miguel

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