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7. Additional file 1 of Initial experience in staging primary oesophageal/gastro-oesophageal cancer with 18F-FDG PET/MRI

Author

Sharkey, Amy R., Sah, Bert-Ram, Withey, Samuel J., Bhuva, Shaheel, Neji, Radhouene, Jeljeli, Sami, Green, Adrian, Cook, Gary J. R., and Goh, Vicky

Subjects
surgical procedures, operative, otorhinolaryngologic diseases, bacterial infections and mycoses, digestive system, digestive system diseases
Abstract

Additional file 1. Appendix 1. WBMRI Imaging Protocol ��� PET/MRI Oesophagus.

Published
2021
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8. 2-deoxy-2[18F]fluoro-D-glucose positron emission tomography–computed tomography in rheumatological diseases.

Author

Subesinghe, Manil, Bhuva, Shaheel, Arumalla, Nikita, Cope, Andrew, D'Cruz, David, and Subesinghe, Sujith

Subjects
*RHEUMATOID arthritis diagnosis, *SARCOIDOSIS, *FEVER, *IMMUNE checkpoint inhibitors, *INFLAMMATION, *POSITRON emission tomography computed tomography, *CARTILAGE diseases, *DIAGNOSTIC imaging, *TREATMENT effectiveness, *RADIOPHARMACEUTICALS, *DEOXY sugars, *RHEUMATISM
Abstract

2-deoxy-2[18F]fluoro-D-glucose (FDG) PET-CT has revolutionized oncological imaging. The cellular processes that make cancer cells visible on FDG PET-CT also occur in a number of inflammatory cells. Exploiting this phenomenon has led to a growth of evidence supporting the use of FDG PET-CT in a wide range of infective and inflammatory diseases. Rheumatological diseases can affect multiple sites within the musculoskeletal system alongside multi-organ extra-articular disease manifestations. Inflammation is central to these diseases, making FDG PET-CT a logical choice. In this review article we describe the various applications of FDG PET-CT in rheumatological diseases using illustrative examples to highlight the beneficial role of FDG PET-CT in each case. [ABSTRACT FROM AUTHOR]

Published
2022
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10. A case–control evaluation of pulmonary and extrapulmonary findings of incidental asymptomatic COVID-19 infection on FDG PET-CT.

Author

Subesinghe, Manil, Bhuva, Shaheel, Dunn, Joel T, Hammers, Alexander, Cook, Gary J, Barrington, Sally F, and Fischer, Barbara M

Subjects
*COVID-19, *LUNGS, *BONE marrow, *LUNG infections, *INCIDENTAL learning, *SPLEEN, *PNEUMONIA
Abstract

To describe the findings of incidental asymptomatic COVID-19 infection on FDG PET-CT using a case–control design. Incidental pulmonary findings suspicious of asymptomatic COVID-19 infection on FDG PET-CT were classified as a confirmed (positive RT-PCR test) or suspected case (no/negative RT-PCR test). Control cases were identified using a 4:1 control:case ratio. Pulmonary findings were re-categorised by two reporters using the BSTI classification. SUV metrics in ground glass opacification (GGO)/consolidation (where present), background lung, intrathoracic nodes, liver, spleen and bone marrow were measured. 7/9 confirmed and 11/15 suspected cases (COVID-19 group) were re-categorised as BSTI 1 (classic/probable COVID-19) or BSTI 2 (indeterminate COVID-19); 0/96 control cases were categorised as BSTI 1. Agreement between two reporters using the BSTI classification was almost perfect (weighted κ = 0.94). SUVmax GGO/consolidation (5.1 vs 2.2; p < 0.0001) and target-to-background ratio, normalised to liver SUVmean (2.4 vs 1.0; p < 0.0001) were higher in the BSTI 1 & 2 group vs BSTI 3 (non-COVID-19) cases. SUVmax GGO/consolidation discriminated between the BSTI 1 & 2 group vs BSTI 3 (non-COVID-19) cases with high accuracy (AUC = 0.93). SUV metrics were higher (p < 0.05) in the COVID-19 group vs control cases in the lungs, intrathoracic nodes and spleen. Asymptomatic COVID-19 infection on FDG PET-CT is characterised by bilateral areas of FDG avid (intensity > x2 liver SUVmean) GGO/consolidation and can be identified with high interobserver agreement using the BSTI classification. There is generalised background inflammation within the lungs, intrathoracic nodes and spleen. Incidental asymptomatic COVID-19 infection on FDG PET-CT, characterised by bilateral areas of ground glass opacification and consolidation, can be identified with high reproducibility using the BSTI classification. The intensity of associated FDG uptake (>x2 liver SUVmean) provides high discriminative ability in differentiating such cases from pulmonary findings in a non-COVID-19 pattern. Asymptomatic COVID-19 infection causes a generalised background inflammation within the mid-lower zones of the lungs, hilar and central mediastinal nodal stations, and spleen on FDG PET-CT. [ABSTRACT FROM AUTHOR]

Published
2022
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13. Local experience of interventional ultrasound- and MRI-guided vacuum-assisted biopsy or excision of breast lesions

Author

Bhuva, Shaheel

Subjects
genetic structures, Ultrasound, Screening, Vacuum assisted biopsy, Breast, MR, Multidisciplinary cancer care, Diagnostic procedure, Interventional non-vascular, Abscess, Cancer
Abstract

Aims and objectives Methods and materials Results Conclusion Personal information References, Aims and objectives: Ultrasound (US) and MRI-guided vacuum-assisted biopsies/excisions (VAB/E) was introduced at our centre in 2014. We wanted to assess the utility of this technique in patients withbreast lesions or...

Published
2016
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14. Imaging features of benign and malignant incidental breast lesions detected on CT and PET-CT studies referred for breast assessment over 5 years

Author

Bhuva, Shaheel

Subjects
genetic structures, PET-CT, Breast, Multidisciplinary cancer care, Diagnostic procedure, Cancer, Mammography, CT
Abstract

Aims and objectives Methods and materials Results Conclusion Personal information References, Aims and objectives: Our breast assessment unit frequently receives referrals from incidental findings of breast lesions from CT and PET-CT studies. We sought to analyse these lesions to determine if CT or PET-CT findings were more predictive of...

Published
2016
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16. British Society of Breast Radiology Annual Scientific Meeting 2016

Author

Azmil, Ameerah Mohd, primary, Bansal, Gaurav Jyoti, additional, Davies, Eleri, additional, Wallis, Matthew, additional, Kilburn-Toppin, Fleur, additional, Taylor-Phillip, Sian, additional, Buckley, Anne, additional, Healy, Nuala, additional, Quinn, Aine, additional, O’Keeffe, Sylvia, additional, Ang, Teri, additional, Maxwell, Anthony, additional, Lim, Yit Y., additional, Harkness, Elaine, additional, Emsley, Richard, additional, Astley, Susan, additional, Gadde, Soujanya, additional, Ferguson, Jennifer, additional, Stevens, Guy, additional, Hills, Robert, additional, Thomas, Kate Gower, additional, Rajan, Sabrina, additional, Sharma, Nisha, additional, Kishore, Ajit, additional, O’ Dowd, John, additional, Murphy, Claire, additional, Lindsay, Ken, additional, Dadayal, Guneesh, additional, Moody, Anne Nielsen, additional, Whitaker, Madeleine, additional, Wolstenhulme, Stephen, additional, Bull, Jane, additional, Culpan, Anne-Marie, additional, Roszkowski, Natalia, additional, Grima, Alexis, additional, Stahnke, Michaela, additional, Rubin, Caroline, additional, Walker, Ruth, additional, Oeppen, Rachel, additional, Puttagunta, Srikanth, additional, Gray, Karen, additional, Puri, Shama, additional, Millican-Slater, Rebecca, additional, Pascaline, Sana, additional, Hajaj, Mohamad, additional, Flinn, Janet, additional, Thomson, Kim, additional, Elsberger, Beatrix, additional, Turnbull, Anne, additional, Bagnall, Mark, additional, York, Joanne, additional, Benney, Stuart, additional, Goyal, Amit, additional, Topps, Ashley, additional, Barr, Simon, additional, Pikoulas, Panagiotis, additional, Pritchard, Susan, additional, Greenhalgh, Sophie, additional, Sreenivas, Muthyala, additional, Nandhra, Anju, additional, Sharma, Sheetal, additional, Gulati, Archita, additional, Razzaq, Furhan, additional, Khan, Sana, additional, McKillen, Jacqueline, additional, Larkin, Rupert, additional, Kamat, Sachin, additional, Goncalves, Carla, additional, Tan, Alan, additional, Eleti, Asha, additional, Vidyaprakash, Nithya, additional, McMahon, Michelle A., additional, Dall, Barbara J. G., additional, Majid, Faisal, additional, Rattehalli, Ramachadra, additional, Gaur, Vandana, additional, Mackenzie, Alistair, additional, Warren, Lucy, additional, Patel, Mishal, additional, Halling-Brown, Mark, additional, Wilkinson, Louise, additional, Young, Kenneth, additional, Tanner, James, additional, Currie, Rachael, additional, Balyes, Sharron, additional, Wragg, Julie, additional, Zamfir, Georgiana, additional, Ayra, Pallavi, additional, Marsden, Max, additional, Butterworth, James, additional, Sinha, Shona, additional, Desai, Anil, additional, Metafa, Anna, additional, Nielsen-Moody, Anne, additional, Ward, Laura, additional, Heller, Samantha, additional, Hudson, Sue, additional, Taylor, Kathryn, additional, Xyda, Argyro, additional, Allen, Steven, additional, Orlowski, Elizabeth, additional, Downey, Kate, additional, Sidebottom, Richard, additional, Lodhi, Ahmad, additional, Howell, Anthony, additional, Evans, Gareth, additional, Lim, Yit, additional, Chen, Yan, additional, Lepine-Williams, Elizabeth, additional, Henderson, Steven, additional, Litherland, Janet, additional, Altaf, Naveed, additional, Bury, Yvonne, additional, Forester, Nerys, additional, Chin, Mei Chan, additional, Taylor, Caroline, additional, Skippage, Pippa, additional, Sian, Aneet, additional, McAvinchey, Rita, additional, Evans, Tom, additional, Nisbet, Sian, additional, Murray, Alex, additional, Castillo, Raquel Clark, additional, Markham, Hannah, additional, Thomas, Timothy, additional, Jain, Anil, additional, Molderson, Jaanilka, additional, Wan, Joseph, additional, Newman, Helen, additional, Lowes, Simon, additional, Lunt, Linsley, additional, Sultana, Sadia, additional, Chillal, Varun, additional, Dalton, Rebecca, additional, Reeves, David, additional, Sergeant, Jamie, additional, Edwards, Liz, additional, Jenkins, Kate, additional, Shaikh, Shaheeda, additional, O’Flynn, Elizabeth, additional, Bombroffe, Laura, additional, Hughes, Julie, additional, Scurr, Erica, additional, Wilson, Robin, additional, Jones, Lyn, additional, Govindarajulu, Sasirekha, additional, Sahu, Ajay K., additional, Brown, Matthew, additional, Allen, Steve, additional, O’Flynn, Liz, additional, deSouza, Nandita, additional, Rahim, Rumana, additional, Wasan, Rema, additional, Goligher, Jane, additional, Wijesuriya, Shalini, additional, Morel, Juliet, additional, Peacock, Clare, additional, Michell, Michael, additional, Iqbal, Asif, additional, Evans, David, additional, Batohi, Bhavna, additional, Wasan, Tavleen, additional, Phillips, Vivien, additional, Manuel, Eden, additional, Bowman, Gillian, additional, Satchithananda, Keshthra, additional, Fang, Cheng, additional, Shah, Chirag, additional, Hodkin, Leanne, additional, Horgan, Keiran, additional, Dodwell, David, additional, Moloney, BM, additional, Casey, M. C., additional, Breathnach, A., additional, Dwyer, R. M., additional, McLoughlin, R., additional, Sweeney, K. J., additional, Malone, C., additional, Healy, M. J., additional, Kerin, M. J., additional, Mitchell, Elizabeth, additional, Twiddy, Maureen, additional, Dobson, Hilary, additional, Vinnicombe, Sarah, additional, Evans, Andrew, additional, Grant, David, additional, Bishop, Briony, additional, Giggens, Roxanne, additional, Bhuva, Shaheel, additional, Royds, Jennifer, additional, Camilleri, Francesca, additional, Babu, Gauripriya, additional, Beveridge, Carolyn, additional, Geach, Rebecca, additional, Klimczak, Katherine, additional, Massey, Helen, additional, Lyburn, Iain, additional, Salehi-Bird, Seema, additional, Nishtala, Sahithi, additional, Gunning, Liz, additional, Changaradil, Deepthi Vinayan, additional, Bansal, Jyoti, additional, Davis, Joanna, additional, Sharma, Ashwini, additional, Del Voscovo, Elena, additional, Etheridge, Harriet, additional, Butler, Aisling, additional, Fenne, David S. J., additional, Rubin, Gary, additional, Burt, Helen, additional, Ridley, Nick, additional, Taylor, Sarah, additional, Seth, Subodh, additional, and Seth, Archana, additional

Published
2016
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17. In the context of overdiagnosis, does size matter?

Author

Bhuva, Shaheel

Subjects
Screening, Breast, Mammography, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information References, Purpose: The Marmot Review was an independent review of the NHS Breast Screening Programme, they concluded that for every 1 breast cancer death prevented that 3 women would be overdiagnosed and treated. Overdiagnosis is the detection of cancers that would...

Published
2014
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18. Comparing the mammographic appearances following vacuum assisted biopsy versus surgical diagnostic biopsy

Author

Bhuva, Shaheel

Subjects
genetic structures, Neoplasia, Biopsy, Calcifications / Calculi, Vacuum assisted biopsy, Breast, Diagnostic procedure, Mammography
Abstract

Aims and objectives Methods and materials Results Conclusion Personal information References, Aims and objectives: The traditional management of a B3 lesion, as diagnosed on needle core biopsy, has warranted further larger volume tissue sampling with diagnostic surgical biopsy (SDB). The trend is changing with the development of vacuum assisted biopsy...

Published
2014
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24. British Society of Breast Radiology Annual Scientific Meeting 2016

Author

Azmil, Ameerah Mohd, Bansal, Gaurav Jyoti, Davies, Eleri, Wallis, Matthew, Kilburn-Toppin, Fleur, Taylor-Phillip, Sian, Buckley, Anne, Healy, Nuala, Quinn, Aine, O’Keeffe, Sylvia, Ang, Teri, Maxwell, Anthony, Lim, Yit Y., Harkness, Elaine, Emsley, Richard, Astley, Susan, Gadde, Soujanya, Ferguson, Jennifer, Stevens, Guy, Hills, Robert, Thomas, Kate Gower, Rajan, Sabrina, Sharma, Nisha, Kishore, Ajit, O’ Dowd, John, Murphy, Claire, Lindsay, Ken, Dadayal, Guneesh, Moody, Anne Nielsen, Whitaker, Madeleine, Wolstenhulme, Stephen, Bull, Jane, Culpan, Anne-Marie, Roszkowski, Natalia, Grima, Alexis, Stahnke, Michaela, Rubin, Caroline, Walker, Ruth, Oeppen, Rachel, Puttagunta, Srikanth, Gray, Karen, Puri, Shama, Millican-Slater, Rebecca, Pascaline, Sana, Hajaj, Mohamad, Flinn, Janet, Thomson, Kim, Elsberger, Beatrix, Turnbull, Anne, Bagnall, Mark, York, Joanne, Benney, Stuart, Goyal, Amit, Topps, Ashley, Barr, Simon, Pikoulas, Panagiotis, Pritchard, Susan, Greenhalgh, Sophie, Sreenivas, Muthyala, Nandhra, Anju, Sharma, Sheetal, Gulati, Archita, Razzaq, Furhan, Khan, Sana, McKillen, Jacqueline, Larkin, Rupert, Kamat, Sachin, Goncalves, Carla, Tan, Alan, Eleti, Asha, Vidyaprakash, Nithya, McMahon, Michelle A., Dall, Barbara J. G., Majid, Faisal, Rattehalli, Ramachadra, Gaur, Vandana, Mackenzie, Alistair, Warren, Lucy, Patel, Mishal, Halling-Brown, Mark, Wilkinson, Louise, Young, Kenneth, Tanner, James, Currie, Rachael, Balyes, Sharron, Wragg, Julie, Zamfir, Georgiana, Ayra, Pallavi, Marsden, Max, Butterworth, James, Sinha, Shona, Desai, Anil, Metafa, Anna, Nielsen-Moody, Anne, Ward, Laura, Heller, Samantha, Hudson, Sue, Taylor, Kathryn, Xyda, Argyro, Allen, Steven, Orlowski, Elizabeth, Downey, Kate, Sidebottom, Richard, Lodhi, Ahmad, Howell, Anthony, Evans, Gareth, Lim, Yit, Chen, Yan, Lepine-Williams, Elizabeth, Henderson, Steven, Litherland, Janet, Altaf, Naveed, Bury, Yvonne, Forester, Nerys, Chin, Mei Chan, Taylor, Caroline, Skippage, Pippa, Sian, Aneet, McAvinchey, Rita, Evans, Tom, Nisbet, Sian, Murray, Alex, Castillo, Raquel Clark, Markham, Hannah, Thomas, Timothy, Jain, Anil, Molderson, Jaanilka, Wan, Joseph, Newman, Helen, Lowes, Simon, Lunt, Linsley, Sultana, Sadia, Chillal, Varun, Dalton, Rebecca, Reeves, David, Sergeant, Jamie, Edwards, Liz, Jenkins, Kate, Shaikh, Shaheeda, O’Flynn, Elizabeth, Bombroffe, Laura, Hughes, Julie, Scurr, Erica, Wilson, Robin, Jones, Lyn, Govindarajulu, Sasirekha, Sahu, Ajay K., Brown, Matthew, Allen, Steve, O’Flynn, Liz, deSouza, Nandita, Rahim, Rumana, Wasan, Rema, Goligher, Jane, Wijesuriya, Shalini, Morel, Juliet, Peacock, Clare, Michell, Michael, Iqbal, Asif, Evans, David, Batohi, Bhavna, Wasan, Tavleen, Phillips, Vivien, Manuel, Eden, Bowman, Gillian, Satchithananda, Keshthra, Fang, Cheng, Shah, Chirag, Hodkin, Leanne, Horgan, Keiran, Dodwell, David, Moloney, BM, Casey, M. C., Breathnach, A., Dwyer, R. M., McLoughlin, R., Sweeney, K. J., Malone, C., Healy, M. J., Kerin, M. J., Mitchell, Elizabeth, Twiddy, Maureen, Dobson, Hilary, Vinnicombe, Sarah, Evans, Andrew, Grant, David, Bishop, Briony, Giggens, Roxanne, Bhuva, Shaheel, Royds, Jennifer, Camilleri, Francesca, Babu, Gauripriya, Beveridge, Carolyn, Geach, Rebecca, Klimczak, Katherine, Massey, Helen, Lyburn, Iain, Salehi-Bird, Seema, Nishtala, Sahithi, Gunning, Liz, Changaradil, Deepthi Vinayan, Bansal, Jyoti, Davis, Joanna, Sharma, Ashwini, Del Voscovo, Elena, Etheridge, Harriet, Butler, Aisling, Fenne, David S. J., Rubin, Gary, Burt, Helen, Ridley, Nick, Taylor, Sarah, Seth, Subodh, and Seth, Archana

Subjects
Medicine(all)
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