All Outputs (32)

Outcomes of patient and public involvement in the development of the Cognitive Decline after Brain Radiosurgery (CoDe B-Rad) study: refining the research question and methodology (2025)
Journal Article
Bangiri, A., Horobin, A., Baker, J., Pszczolkowski, S., Thust, S., & Morgan, P. S. (2025). Outcomes of patient and public involvement in the development of the Cognitive Decline after Brain Radiosurgery (CoDe B-Rad) study: refining the research question and methodology. BMJ Open, 15(6), Article e094788. https://doi.org/10.1136/bmjopen-2024-094788

Objectives

Patient and public involvement (PPI) was sought in the development of the protocol for the Cognitive Decline after Brain Radiosurgery (CoDe B-Rad) study, which aims to identify potential side effects of stereotactic radiosurgery (SRS).... Read More about Outcomes of patient and public involvement in the development of the Cognitive Decline after Brain Radiosurgery (CoDe B-Rad) study: refining the research question and methodology.

Apparent diffusion coefficient for genetic characterisation of untreated adult gliomas: a meta-analysis stratified by methods (2025)
Journal Article
Bhatti, F., Strobel, J., Tench, C., Grech-Sollars, M., A Dineen, R., Sollmann, N., & Thust, S. (2025). Apparent diffusion coefficient for genetic characterisation of untreated adult gliomas: a meta-analysis stratified by methods. Neuro-Oncology Advances, Article vdaf103. https://doi.org/10.1093/noajnl/vdaf103

Background

Isocitrate dehydrogenase (IDH) mutation and chromosome 1p19q genotyping have become fundamental to the prognostic grouping of adult diffuse gliomas. Apparent diffusion coefficient (ADC) values may enable non-invasive prediction of gliom... Read More about Apparent diffusion coefficient for genetic characterisation of untreated adult gliomas: a meta-analysis stratified by methods.

Structured reporting of gliomas based on VASARI criteria to improve report content and consistency (2025)
Journal Article
Goodkin, O., Wu, J., Pemberton, H., Prados, F., Vos, S. B., Thust, S., Thornton, J., Yousry, T., Bisdas, S., & Barkhof, F. (2025). Structured reporting of gliomas based on VASARI criteria to improve report content and consistency. BMC Medical Imaging, 25(1), Article 99. https://doi.org/10.1186/s12880-025-01603-6

Purpose: Gliomas are the commonest malignant brain tumours. Baseline characteristics on structural MRI, such as size, enhancement proportion and eloquent brain involvement inform grading and treatment planning. Currently, free-text imaging reports de... Read More about Structured reporting of gliomas based on VASARI criteria to improve report content and consistency.

Comparison of Echo Planar and Turbo Spin Echo Diffusion‐Weighted Imaging in Intraoperative MRI (2024)
Journal Article
Thorpe, J. C., Thust, S. C., Gillon, C. H., Rowe, S., Swain, C. E., MacArthur, D. C., Howarth, S. P., Avula, S., Morgan, P. S., & Dineen, R. A. (2025). Comparison of Echo Planar and Turbo Spin Echo Diffusion‐Weighted Imaging in Intraoperative MRI. Journal of Magnetic Resonance Imaging, 61(4), 1847-1857. https://doi.org/10.1002/jmri.29614

Background
Diffusion-weighted imaging (DWI) is routinely used in brain tumor surgery guided by intraoperative MRI (IoMRI). However, conventional echo planar imaging DWI (EPI-DWI) is susceptible to distortion and artifacts that affect image quality.... Read More about Comparison of Echo Planar and Turbo Spin Echo Diffusion‐Weighted Imaging in Intraoperative MRI.

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium (2024)
Preprint / Working Paper
Shuaib, H., Barker, G. J., Sasieni, P., De Vita, E., Chelliah, A., Andrei, R., Ashkan, K., Beaumont, E., Brazil, L., Rowland-Hill, C., Hui Lau, Y., Luis, A., Powell, J., Swampillai, A., Tenant, S., Thust, S. C., Wastling, S., Young, T., & Booth, T. C. (2024). Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium

Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common i... Read More about Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.

Neuro-Oncology (2024)
Book Chapter
Rees, J., Brandner, S., Fersht, N., Grieve, J., Hotton, G., Kosmin, M., Russo, V., Thorne, L., & Thust, S. (2024). Neuro-Oncology. In R. Howard, D. Kullmann, D. Werring, & M. Zandi (Eds.), Neurology: A Queen Square Textbook. (Third Edition). https://doi.org/10.1002/9781119715672.ch20

Neuro-oncology covers the scientific and clinical aspects of central nervous system (CNS) tumours and the neurological complications of cancer. This chapter provides a clinically dominated guide to the key issues in neuro-oncology. It describes the h... Read More about Neuro-Oncology.

Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study) (2024)
Journal Article
Booth, T. C., Chelliah, A., Wood, D. A., Canas, L. S., Shuaib, H., Currie, S., Fatania, K., Frood, R., Rowland-Hill, C., Thust, S., Wastling, S. J., Tenant, S., Foweraker, K., Williams, M., Wang, Q., Roman, A., Dragos, C., MacDonald, M., Hui Lau, Y., Linares, C. A., …Modat, M. (2024). Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study). Neuro-Oncology, 26(6), 1138-1151. https://doi.org/10.1093/neuonc/noae017

Background
The aim was to predict survival of glioblastoma at 8 months after radiotherapy (a period allowing for completing a typical course of adjuvant temozolomide), by applying deep learning to the first brain MRI after radiotherapy completion.... Read More about Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study).

A framework for standardised tissue sampling and processing during resection of diffuse intracranial glioma: joint recommendations from four RANO groups (2023)
Journal Article
Karschnia, P., Smits, M., Reifenberger, G., Le Rhun, E., Ellingson, B. M., Galldiks, N., Kim, M. M., Huse, J. T., Schnell, O., Harter, P. N., Mohme, M., von Baumgarten, L., Albert, N. L., Huang, R. Y., Mehta, M. P., van den Bent, M., Weller, M., Vogelbaum, M. A., Chang, S. M., Berger, M. S., …Thust, S. C. (2023). A framework for standardised tissue sampling and processing during resection of diffuse intracranial glioma: joint recommendations from four RANO groups. Lancet Oncology, 24(11), e438-e450. https://doi.org/10.1016/S1470-2045%2823%2900453-9

Surgical resection represents the standard of care for people with newly diagnosed diffuse gliomas, and the neuropathological and molecular profile of the resected tissue guides clinical management and forms the basis for research. The Response Asses... Read More about A framework for standardised tissue sampling and processing during resection of diffuse intracranial glioma: joint recommendations from four RANO groups.

Early MRI Predictors of Relapse in Primary Central Nervous System Lymphoma Treated with MATRix Immunochemotherapy (2023)
Journal Article
Cornell, I., Al Busaidi, A., Wastling, S., Anjari, M., Cwynarski, K., Fox, C. P., Martinez-Calle, N., Poynton, E., Maynard, J., & Thust, S. C. (2023). Early MRI Predictors of Relapse in Primary Central Nervous System Lymphoma Treated with MATRix Immunochemotherapy. Journal of Personalized Medicine, 13(7), Article 1182. https://doi.org/10.3390/jpm13071182

Primary Central Nervous System Lymphoma (PCNSL) is a highly malignant brain tumour. We investigated dynamic changes in tumour volume and apparent diffusion coefficient (ADC) measurements for predicting outcome following treatment with MATRix chemothe... Read More about Early MRI Predictors of Relapse in Primary Central Nervous System Lymphoma Treated with MATRix Immunochemotherapy.

Clinical, Imaging and Neurogenetic Features of Patients with Gliomatosis Cerebri Referred to a Tertiary Neuro-Oncology Centre. (2023)
Journal Article
Doig, D., Thorne, L., Rees, J., Fersht, N., Kosmin, M., Brandner, S., Jäger, H. R., & Thust, S. (2023). Clinical, Imaging and Neurogenetic Features of Patients with Gliomatosis Cerebri Referred to a Tertiary Neuro-Oncology Centre. Journal of Personalized Medicine, 13(2), Article 222. https://doi.org/10.3390/jpm13020222

Introduction: Gliomatosis cerebri describes a rare growth pattern of diffusely infiltrating glioma. The treatment options are limited and clinical outcomes remain poor. To characterise this population of patients, we examined referrals to a specialis... Read More about Clinical, Imaging and Neurogenetic Features of Patients with Gliomatosis Cerebri Referred to a Tertiary Neuro-Oncology Centre..

Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review. (2022)
Journal Article
Lasocki, A., Abdalla, G., Chow, G., & Thust, S. C. (2022). Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review. Cancer Imaging, 22, Article 63. https://doi.org/10.1186/s40644-022-00500-3

Background
Advances in molecular diagnostics accomplished the discovery of two malignant glioma entities harboring alterations in the H3 histone: diffuse midline glioma, H3 K27-altered and diffuse hemispheric glioma, H3 G34-mutant. Radiogenomics res... Read More about Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review..

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium (2022)
Journal Article
Shuaib, H., Barker, G. J., Sasieni, P., De Vita, E., Chelliah, A., Andrei, R., Ashkan, K., Beaumont, E., Brazil, L., Rowland-Hill, C., Hui Lau, Y., Luis, A., Powell, J., Swampillai, A., Tenant, S., Thust, S. C., Wastling, S., Young, T., Booth, T. C., Brock, J., …Williams, M. (2023). Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium. British Journal of Radiology, 96(1141), Article 20220206. https://doi.org/10.1259/bjr.20220206

Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common i... Read More about Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium (2022)
Journal Article
Shuaib, H., Barker, G. J., Sasieni, P., De Vita, E., Chelliah, A., Andrei, R., Ashkan, K., Beaumont, E., Brazil, L., Rowland-Hill, C., Hui Lau, Y., Luis, A., Powell, J., Swampillai, A., Tenant, S., Thust, S. C., Wastling, S., Young, T., Booth, T. C., ZGBM consortium, …Williams, M. (2023). Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium. British Journal of Radiology, 96(1141), Article 20220206. https://doi.org/10.1259/bjr.20220206

Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common i... Read More about Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.

2021 WHO classification of tumours of the central nervous system: a review for the neuroradiologist (2022)
Journal Article
McNamara, C., Mankad, K., Thust, S., Dixon, L., Limback-Stanic, C., D’Arco, F., Jacques, T. S., & Löbel, U. (2022). 2021 WHO classification of tumours of the central nervous system: a review for the neuroradiologist. Neuroradiology, 64(10), 1919-1950. https://doi.org/10.1007/s00234-022-03008-6

The fifth edition of the World Health Organization Classification of Tumours of the Central Nervous System (WHO CNS5) published in 2021 builds on the 2016 edition and incorporates output from the Consortium to Inform Molecular and Practical Approache... Read More about 2021 WHO classification of tumours of the central nervous system: a review for the neuroradiologist.

Prospective validation of a new imaging scorecard to assess leptomeningeal metastasis: A joint EORTC BTG and RANO effort (2022)
Journal Article
Le Rhun, E., Devos, P., Winklhofer, S., Lmalem, H., Brandsma, D., Kumthekar, P., Castellano, A., Compter, A., Dhermain, F., Franceschi, E., Forsyth, P., Furtner, J., Galldiks, N., Gállego Pérez-Larraya, J., Gempt, J., Hattingen, E., Martin Hempel, J., Lukacova, S., Minniti, G., O’Brien, B., …Weller, M. (2022). Prospective validation of a new imaging scorecard to assess leptomeningeal metastasis: A joint EORTC BTG and RANO effort. Neuro-Oncology, 24(10), 1726-1735. https://doi.org/10.1093/neuonc/noac043

Background
Validation of the 2016 RANO MRI scorecard for leptomeningeal metastasis failed for multiple reasons. Accordingly, this joint EORTC Brain Tumor Group and RANO effort sought to prospectively validate a revised MRI scorecard for response ass... Read More about Prospective validation of a new imaging scorecard to assess leptomeningeal metastasis: A joint EORTC BTG and RANO effort.

Altered pituitary morphology as a sign of benign hereditary chorea caused by TITF1/NKX2.1 mutations. (2022)
Journal Article
Thust, S., Veneziano, L., Parkinson, M. H., Bhatia, K. P., Mantuano, E., Gonzalez-Robles, C., Davagnanam, I., & Giunti, P. (2022). Altered pituitary morphology as a sign of benign hereditary chorea caused by TITF1/NKX2.1 mutations. neurogenetics, 23, 91–102. https://doi.org/10.1007/s10048-021-00680-3

Benign hereditary chorea (BHC) is a rare genetically heterogeneous movement disorder, in which conventional neuroimaging has been reported as normal in most cases. Cystic pituitary abnormalities and features of empty sella have been described in only... Read More about Altered pituitary morphology as a sign of benign hereditary chorea caused by TITF1/NKX2.1 mutations..

Diverse imaging features of adolescent glioblastoma. (2021)
Journal Article
Campion, T., Stoneham, S., Al-Busaidi, A., Kumar, A., Jaunmuktane, Z., Brandner, S., Kitchen, N., & Thust, S. (2022). Diverse imaging features of adolescent glioblastoma. BJR Case Reports, 8(2), Article 20210207. https://doi.org/10.1259/bjrcr.20210207

We highlight an unusual case of multifocal glioblastoma in an adolescent patient, manifesting as four discrete brain lesions, each distinct in appearance. Familiarity with the diverse imaging features of glioblastoma can reduce misdiagnosis and avoid... Read More about Diverse imaging features of adolescent glioblastoma..

A phase 1/2 study of thiotepa-based immunochemotherapy in relapsed/refractory primary CNS lymphoma: the TIER trial (2021)
Journal Article
Fox, C. P., Ali, A. S., McIlroy, G., Thust, S., Martinez-Calle, N., Jackson, A. E., Hopkins, L. M., Thomas, C. M., Kassam, S., Wright, J., Chaganti, S., Smith, J., Chau, I., Culligan, D., Linton, K. M., Collins, G. P., Ferreri, A. J. M., Lewis, D., Davies, A. J., Johnson, R., …Cwynarski, K. (2021). A phase 1/2 study of thiotepa-based immunochemotherapy in relapsed/refractory primary CNS lymphoma: the TIER trial. Blood Advances, 5(20), 4073-4082. https://doi.org/10.1182/bloodadvances.2021004779

Relapsed or refractory primary central nervous system lymphoma (rrPCNSL) confers a poor prognosis with no accepted standard of care. Very few prospective studies have been conducted in this patient group. This study was a multicenter phase 1/2 study... Read More about A phase 1/2 study of thiotepa-based immunochemotherapy in relapsed/refractory primary CNS lymphoma: the TIER trial.

Filtration-Histogram Based Magnetic Resonance Texture Analysis (MRTA) for the Distinction of Primary Central Nervous System Lymphoma and Glioblastoma (2021)
Journal Article
MacIver, C. L., Al Busaidi, A., Ganeshan, B., Maynard, J. A., Wastling, S., Hyare, H., Brandner, S., Markus, J. E., Lewis, M. A., Groves, A. M., Cwynarski, K., & Thust, S. C. (2021). Filtration-Histogram Based Magnetic Resonance Texture Analysis (MRTA) for the Distinction of Primary Central Nervous System Lymphoma and Glioblastoma. Journal of Personalized Medicine, 11(9), Article 876. https://doi.org/10.3390/jpm11090876

Primary central nervous system lymphoma (PCNSL) has variable imaging appearances, which overlap with those of glioblastoma (GBM), thereby necessitating invasive tissue diagnosis. We aimed to investigate whether a rapid filtration histogram analysis o... Read More about Filtration-Histogram Based Magnetic Resonance Texture Analysis (MRTA) for the Distinction of Primary Central Nervous System Lymphoma and Glioblastoma.

Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma surveillance (2021)
Journal Article
Siakallis, L., Sudre, C. H., Mulholland, P., Fersht, N., Rees, J., Topff, L., Thust, S., Jager, R., Cardoso, M. J., Panovska-Griffiths, J., & Bisdas, S. (2021). Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma surveillance. Neuroradiology, 63(12), 2047-2056. https://doi.org/10.1007/s00234-021-02719-6

Purpose: Surveillance of patients with high-grade glioma (HGG) and identification of disease progression remain a major challenge in neurooncology. This study aimed to develop a support vector machine (SVM) classifier, employing combined longitudinal... Read More about Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma surveillance.