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Your search keyword '"Golla, Sandeep S.V."' showing total 9 results
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9 results on '"Golla, Sandeep S.V."'

1. Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma.

Author

Ferrández, Maria C., Golla, Sandeep S.V., Eertink, Jakoba J., Wiegers, Sanne E., Zwezerijnen, Gerben J.C., Heymans, Martijn W., Lugtenburg, Pieternella J., Kurch, Lars, Hüttmann, Andreas, Hanoun, Christine, Dührsen, Ulrich, Barrington, Sally F., Mikhaeel, N. George, Ceriani, Luca, Zucca, Emanuele, Czibor, Sándor, Györke, Tamás, Chamuleau, Martine E.D., Zijlstra, Josée M., and Boellaard, Ronald

Published
2024
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3. An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

Author

Ferrández, Maria C., Golla, Sandeep S.V., Eertink, Jakoba J., de Vries, Bart M., Lugtenburg, Pieternella J., Wiegers, Sanne E., Zwezerijnen, Gerben J.C., Pieplenbosch, Simone, Kurch, Lars, Hüttmann, Andreas, Hanoun, Christine, Dührsen, Ulrich, de Vet, Henrica C.W., Zijlstra, Josée M., Boellaard, Ronald, Ferrández, Maria C., Golla, Sandeep S.V., Eertink, Jakoba J., de Vries, Bart M., Lugtenburg, Pieternella J., Wiegers, Sanne E., Zwezerijnen, Gerben J.C., Pieplenbosch, Simone, Kurch, Lars, Hüttmann, Andreas, Hanoun, Christine, Dührsen, Ulrich, de Vet, Henrica C.W., Zijlstra, Josée M., and Boellaard, Ronald

Abstract

Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN using maximum intensity projection (MIP) images from 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) baseline scans to predict the probability of time-to-progression (TTP) within 2 years and compare it with the International Prognostic Index (IPI), i.e. a clinically used score. 296 DLBCL 18F-FDG PET/CT baseline scans collected from a prospective clinical trial (HOVON-84) were analysed. Cross-validation was performed using coronal and sagittal MIPs. An external dataset (340 DLBCL patients) was used to validate the model. Association between the probabilities, metabolic tumour volume and Dmaxbulk was assessed. Probabilities for PET scans with synthetically removed tumors were also assessed. The CNN provided a 2-year TTP prediction with an area under the curve (AUC) of 0.74, outperforming the IPI-based model (AUC = 0.68). Furthermore, high probabilities (> 0.6) of the original MIPs were considerably decreased after removing the tumours (< 0.4, generally). These findings suggest that MIP-based CNNs are able to predict treatment outcome in DLBCL.

Published
2023

4. A scale space theory based motion correction approach for dynamic PET brain imaging studies

Author

Gutschmayer, Sebastian, primary, Muzik, Otto, additional, Chalampalakis, Zacharias, additional, Ferrara, Daria, additional, Yu, Josef, additional, Kluge, Kilian, additional, Rausch, Ivo, additional, Boellaard, Ronald, additional, Golla, Sandeep S.V., additional, Zuehlsdorff, Sven, additional, Newiger, Hartwig, additional, Beyer, Thomas, additional, and Kumar Shiyam Sundar, Lalith, additional

Published
2022
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5. Longitudinal Tau PET Using18F-Flortaucipir: The Effect of Relative Cerebral Blood Flow on Quantitative and Semiquantitative Parameters

Author

Visser, Denise, primary, Tuncel, Hayel, additional, Ossenkoppele, Rik, additional, Yaqub, Maqsood, additional, Wolters, Emma E., additional, Timmers, Tessa, additional, Weltings, Emma, additional, Coomans, Emma M., additional, den Hollander, Marijke E., additional, van der Flier, Wiesje M., additional, van Berckel, Bart N.M., additional, and Golla, Sandeep S.V., additional

Published
2022
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6. A Head-to-Head Comparison Between Plasma pTau181 and Tau PET Along the Alzheimer’s Disease Continuum

Author

Coomans, Emma M., primary, Verberk, Inge M.W., additional, Ossenkoppele, Rik, additional, Verfaillie, Sander C.J., additional, Visser, Denise, additional, Gouda, Mariam, additional, Tuncel, Hayel, additional, Wolters, Emma E., additional, Timmers, Tessa, additional, Windhorst, Albert D., additional, Golla, Sandeep S.V., additional, Scheltens, Philip, additional, van, Wiesje M., additional, Flier, der, additional, van Berckel, Bart N.M., additional, and Teunissen, Charlotte E., additional

Published
2022
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7. Correction to: Regional [18F]flortaucipir PET is more closely associated with disease severity than CSF p-tau in Alzheimer’s disease (European Journal of Nuclear Medicine and Molecular Imaging, (2020), 47, 12, (2866-2878), 10.1007/s00259-020-04758-2)

Author

Wolters, Emma E., Ossenkoppele, Rik, Verfaillie, Sander C.J., Coomans, Emma M., Timmers, Tessa, Visser, Denise, Tuncel, Hayel, Golla, Sandeep S.V., Windhorst, Albert D., Boellaard, Ronald, van der Flier, Wiesje M., Teunissen, Charlotte E., Scheltens, Philip, van Berckel, Bart N.M., Radiology and nuclear medicine, Amsterdam Neuroscience - Neurodegeneration, Neurology, Clinical chemistry, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, and APH - Methodology

Abstract

The authors regret to inform readers that the following error was detected in the original article. The values for entorhinal, limbic and neortical SUVr were switched between SCD Aβ + and Aβ- in Table 1 and have now been corrected. Unnecessary symbols in Table 2 have been removed.

Published
2020

8. Correction to:Regional [18F]flortaucipir PET is more closely associated with disease severity than CSF p-tau in Alzheimer’s disease (European Journal of Nuclear Medicine and Molecular Imaging, (2020), 47, 12, (2866-2878), 10.1007/s00259-020-04758-2)

Author

Wolters, Emma E., Ossenkoppele, Rik, Verfaillie, Sander C.J., Coomans, Emma M., Timmers, Tessa, Visser, Denise, Tuncel, Hayel, Golla, Sandeep S.V., Windhorst, Albert D., Boellaard, Ronald, van der Flier, Wiesje M., Teunissen, Charlotte E., Scheltens, Philip, and van Berckel, Bart N.M.

Abstract

The authors regret to inform readers that the following error was detected in the original article. The values for entorhinal, limbic and neortical SUVr were switched between SCD Aβ + and Aβ- in Table 1 and have now been corrected. Unnecessary symbols in Table 2 have been removed.

Published
2020
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9. Parametric Binding Images of the TSPO Ligand 18F-DPA-714

Author

Golla, Sandeep S.V., primary, Boellaard, Ronald, additional, Oikonen, Vesa, additional, Hoffmann, Anja, additional, van Berckel, Bart N.M., additional, Windhorst, Albert D., additional, Virta, Jere, additional, te Beek, Erik T., additional, Groeneveld, Geert Jan, additional, Haaparanta-Solin, Merja, additional, Luoto, Pauliina, additional, Savisto, Nina, additional, Solin, Olof, additional, Valencia, Ray, additional, Thiele, Andrea, additional, Eriksson, Jonas, additional, Schuit, Robert C., additional, Lammertsma, Adriaan A., additional, and Rinne, Juha O., additional

Published
2016
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