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3. Knee Implants

Author

Agarwal, Sanjeev, Forster, Mark, Bansal, Gaurav Jyoti, Agarwal, Sanjeev, editor, and Bansal, Gaurav Jyoti, editor

Published
2018
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8. Radiology of orthopedic implants

Author

Agarwal, Sanjeev, editor, Bansal, Gaurav Jyoti, editor, Agarwal, Sanjeev, editor, and Bansal, Gaurav Jyoti, editor

Published
2018

10. 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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11. Accuracy of MRI for Prediction of Response to Neo-Adjuvant Chemotherapy in Triple Negative Breast Cancer Compared to Other Molecular Types

Author

Bansal Gaurav Jyoti

Subjects
Oncology, Chemotherapy, medicine.medical_specialty, Pathology, medicine.diagnostic_test, Receiver operating characteristic, business.industry, medicine.medical_treatment, Magnetic resonance imaging, General Medicine, medicine.disease, Breast cancer, Internal medicine, Medicine, Histopathology, business, Mri scan, Pathological, Triple-negative breast cancer
Abstract

Purpose: The aim of this study was to compare the accuracy of MRI for prediction of response to Neo-adjuvant chemotherapy in Triple negative (TN) breast cancer, with respect to other molecular types. Materials and methods: There were a total of 1610 breast cancers diagnosed between March 2009 and August 2014, out of which 82 patients underwent MRI before and after neo-adjuvant chemotherapy but just before surgery. Triple negative cancers were analysed with respect to others subtypes. Accuracy of MRI for prediction of pathological complete response was compared between different subtypes, by obtaining ROC curves. SPSS (version 21) was used for all data analysis with p value of 0.05 as statistically significant. Results: Out of 82 patients, 29 were Luminal (HR+/HER2 -), 23 were triple negative (HR-, HER2-), 11 HER2 positive (HR-, HER2+) and 19 were of hybrid subtype (HR+/HER2+). Triple negative cancers presented as masses on the pre-chemotherapy MRI scan, were grade 3 on histopathology and show concentric shrinkage following chemotherapy. Triple negative cancers were more likely to have both imaging and pathological complete response following chemotherapy (p=0.055) in contrast to Luminal cancers, which show residual cancer. ROC curves were constructed for prediction of PCR by post chemotherapy MR. For the triple negative sub-group, MR had sensitivity of 0.745 and specificity of 0.700 (p=0.035), with an area under curve (AUC) of 0.745(95% CI 0.526-0.965), which was significantly better compared to other subtypes. Conclusion: Triple negative breast cancers present as masses and show concentric shrinkage following chemotherapy. MRI is most sensitive and specific in predicting response to chemotherapy in the TN group, compared to others subtypes. MRI underestimates residual disease in Luminal cancers.

Published
2015

12. Can Nomograms Predict Preoperative Axillary Lymph Node Metastasis in Patients With Breast Cancer to Guide Second Look Ultrasonography?

Author

Azmil, Ameerah and Bansal, Gaurav Jyoti

Subjects
BREAST cancer patients, BREAST cancer treatment, ULTRASONIC imaging, AXILLARY lymph node dissection, NOMOGRAPHY (Mathematics)
Abstract

Objectives: The low sensitivity of ultrasonography (US) for diagnosing axillary lymph node metastasis in patients with breast cancer has led to the development of multiple tools in an attempt to increase preoperative sensitivity, including second‐look US. We compared axillary lymph node metastasis predictor scores with postsurgical findings, using the Memorial Sloan Kettering Cancer Center (MSKCC; New York, NY) and Evidencio ( www.evidencio.com) nomograms: 2 freely available online predictor tools. Methods: We retrospectively evaluated 450 patients with breast cancer and analyzed data from 194 patients. Sonograms were evaluated to measure lymph node cortical thickness, transverse diameter, and hilum status. Patients were divided into 3 groups: namely 0, 1, and 2 based on the number of postoperative positive nodes (0, 1 and ≥2, respectively). One‐way analysis of variance was used to analyze the differences in mean scores across the 3 nodal groups for both nomograms. P < .05 was considered statistically significant. Results: There were significant differences in mean scores across the 3 nodal groups when using MSKCC (P < .001) as well as Evidencio (P < .001). However, there was an overlap of scores across the 3 groups; thus, mutually exclusive values were not obtained. A strong positive correlation was found between MSKCC and Evidencio (P < 0.001). Tumor size and the presence of lymphovascular invasion were significantly associated with axillary nodal disease (P < .001; P = .003, respectively). Conclusions: The use of nomograms to predict axillary nodal involvement in patients with breast cancer can guide discussions, but in their present state, these scores cannot guide clinical decisions or direct second‐look US of axilla. [ABSTRACT FROM AUTHOR]

Published
2018
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14. 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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19. Trauma

Author

Clutton, Juliet, Lewis, James, Agarwal, Sanjeev, editor, and Bansal, Gaurav Jyoti, editor

Published
2018
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20. Spinal Implants

Author

Ahuja, Sashin, Lingutla, Kiran, Dudhniwala, Abdul Gaffar, Agarwal, Sanjeev, editor, and Bansal, Gaurav Jyoti, editor

Published
2018
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21. Hip Implants

Author

Kamath, Sridhar, Agarwal, Sanjeev, Mahendra, Ashish, Agarwal, Sanjeev, editor, and Bansal, Gaurav Jyoti, editor

Published
2018
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