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1,249 results on '"MacLennan, Gregory T."'

1. Frequent Telomerase Reverse Transcriptase (TERT) Promoter and Fibroblast Growth Factor Receptor 3 (FGFR3) Mutations Support the Precursor Nature of Papillary Urothelial Hyperplasia of the Urinary Bladder

Author

Cheng, Liang, Lopez-Beltran, Antonio, Wang, Mingsheng, Whaley, Rumeal D., De Souza, Andre, Au, Sammy, Ge, Rongbin, Cimadamore, Alessia, Amin, Ali, Golijanin, Borivoj, MacLennan, Gregory T., Osunkoya, Adeboye O., Montironi, Rodolfo, and Zhang, Shaobo

Published
2023
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3. GATA3 expression in clear cell adenocarcinoma of the lower urinary tract: a potential diagnostic pitfall

Author

Akgul, Mahmut, Humble, Robert, Osme, Abdullah, Yuce, Servet, Kocak, Elif N., Najafzadeh, Parisa, Sangoi, Ankur, Pattnaik, Niharika, Mishra, Sourav, Sharma, Shivani, Shaker, Nada, Kaushal, Seema, Baisakh, Manas, Lightle, Andrea R., Balzer, Bonnie L., Xiao, Guang-Qian, MacLennan, Gregory T., Osunkoya, Adeboye O., Parwani, Anil, Cheng, Liang, Bellizzi, Andrew, and Mohanty, Sambit K.

Published
2022
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4. Penis and Scrotum Pathology

Author

Jia, Liwei, Ren, Qinghu, MacLennan, Gregory T., Deng, Fang-Ming, Lin, Fan, Series Editor, Yang, Ximing J., Series Editor, and Zhou, Ming, editor

Published
2021
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5. Granular necrosis: a distinctive form of cell death in malignant tumours

Author

Samaratunga, Hemamali, Delahunt, Brett, Srigley, John R., Berney, Daniel M., Cheng, Liang, Evans, Andrew, Furusato, Bungo, Leite, Katia R.M., MacLennan, Gregory T., Martignoni, Guido, Moch, Holger, Pan, Chin-Chen, Paner, Gladell, Ro, Jae, Thunders, Michelle, Tsuzuki, Toyonori, Wheeler, Thomas, van der Kwast, Theodorus, Varma, Murali, Williamson, Sean R., Yaxley, John W., and Egevad, Lars

Published
2020
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6. Intraductal carcinoma of the prostate is an aggressive form of invasive carcinoma and should be graded

Author

Samaratunga, Hemamali, Delahunt, Brett, Egevad, Lars, Srigley, John R., Billis, Athanase, Bostwick, David G., Camparo, Philippe, Cheng, Liang, Clouston, David, Denham, James, Furusato, Bungo, Hartmann, Arndt, Jufe, Laura, Kench, James, Kenwright, Diane N., Kristiansen, Glen, Leite, Katia R.M., MacLennan, Gregory T., Merrimen, Jennifer, Moch, Holger, Oxley, Jon, Pan, Chin-Chen, Paner, Gladell, Ro, Jae, Sesterhenn, Isabell A.M., Shanks, Jonathan, Thunders, Michelle, Tsuzuki, Toyonori, Wheeler, Thomas, Yaxley, John W., and Varma, Murali

Published
2020
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8. Small-cell Carcinomas of the Urinary Bladder and Prostate: TERT Promoter Mutation Status Differentiates Sites of Malignancy and Provides Evidence of Common Clonality Between Small-cell Carcinoma of the Urinary Bladder and Urothelial Carcinoma

Author

Priemer, David S., Wang, Mingsheng, Zhang, Shaobo, Lopez-Beltran, Antonio, Kouba, Erik, Montironi, Rodolfo, Davidson, Darrell D., MacLennan, Gregory T., Wang, Lisha, Osunkoya, Adeboye O., Deng, Youping, Emerson, Robert E., and Cheng, Liang

Published
2018
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9. Multi‐scale statistical deformation based co‐registration of prostate MRI and post‐surgical whole mount histopathology.

Author

Li, Lin, Shiradkar, Rakesh, Gottlieb, Noah, Buzzy, Christina, Hiremath, Amogh, Viswanathan, Vidya Sankar, MacLennan, Gregory T., Lima, Danly Omil, Gupta, Karishma, Shen, Daniel Lee, Tirumani, Sree Harsha, Magi‐Galluzzi, Cristina, Purysko, Andrei, and Madabhushi, Anant

Subjects
MACHINE learning, URETHRA, BENIGN prostatic hyperplasia, MAGNETIC resonance imaging, PROSTATE, HISTOPATHOLOGY
Abstract

Background: Accurate delineations of regions of interest (ROIs) on multi‐parametric magnetic resonance imaging (mpMRI) are crucial for development of automated, machine learning‐based prostate cancer (PCa) detection and segmentation models. However, manual ROI delineations are labor‐intensive and susceptible to inter‐reader variability. Histopathology images from radical prostatectomy (RP) represent the "gold standard" in terms of the delineation of disease extents, for example, PCa, prostatitis, and benign prostatic hyperplasia (BPH). Co‐registering digitized histopathology images onto pre‐operative mpMRI enables automated mapping of the ground truth disease extents onto mpMRI, thus enabling the development of machine learning tools for PCa detection and risk stratification. Still, MRI‐histopathology co‐registration is challenging due to various artifacts and large deformation between in vivo MRI and ex vivo whole‐mount histopathology images (WMHs). Furthermore, the artifacts on WMHs, such as tissue loss, may introduce unrealistic deformation during co‐registration. Purpose: This study presents a new registration pipeline, MSERgSDM, a multi‐scale feature‐based registration (MSERg) with a statistical deformation (SDM) constraint, which aims to improve accuracy of MRI‐histopathology co‐registration. Methods: In this study, we collected 85 pairs of MRI and WMHs from 48 patients across three cohorts. Cohort 1 (D1), comprised of a unique set of 3D printed mold data from six patients, facilitated the generation of ground truth deformations between ex vivo WMHs and in vivo MRI. The other two clinically acquired cohorts (D2 and D3) included 42 patients. Affine and nonrigid registrations were employed to minimize the deformation between ex vivo WMH and ex vivo T2‐weighted MRI (T2WI) in D1. Subsequently, ground truth deformation between in vivo T2WI and ex vivo WMH was approximated as the deformation between in vivo T2WI and ex vivo T2WI. In D2 and D3, the prostate anatomical annotations, for example, tumor and urethra, were made by a pathologist and a radiologist in collaboration. These annotations included ROI boundary contours and landmark points. Before applying the registration, manual corrections were made for flipping and rotation of WMHs. MSERgSDM comprises two main components: (1) multi‐scale representation construction, and (2) SDM construction. For the SDM construction, we collected N = 200 reasonable deformation fields generated using MSERg, verified through visual inspection. Three additional methods, including intensity‐based registration, ProsRegNet, and MSERg, were also employed for comparison against MSERgSDM. Results: Our results suggest that MSERgSDM performed comparably to the ground truth (p > 0.05). Additionally, MSERgSDM (ROI Dice ratio = 0.61, landmark distance = 3.26 mm) exhibited significant improvement over MSERg (ROI Dice ratio = 0.59, landmark distance = 3.69 mm) and ProsRegNet (ROI Dice ratio = 0.56, landmark distance = 4.00 mm) in local alignment. Conclusions: This study presents a novel registration method, MSERgSDM, for mapping ex vivo WMH onto in vivo prostate MRI. Our preliminary results demonstrate that MSERgSDM can serve as a valuable tool to map ground truth disease annotations from histopathology images onto MRI, thereby assisting in the development of machine learning models for PCa detection on MRI. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Neoplasms of the Urinary Bladder

Author

Cheng, Liang, primary, Lopez-Beltran, Antonio, additional, MacLennan, Gregory T., additional, Montironi, Rodolfo, additional, and Bostwick, David G., additional

Published
2020
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13. Contributors

Author

Al-Ahmadie, Hikmat A., primary, Amin, Mahul B., additional, Amin, Shahrier, additional, Ayala, Alberto G., additional, Bonsib, Stephen M., additional, Bostwick, David G., additional, Cheng, Liang, additional, Divatia, Mukul, additional, Compérat, Eva, additional, Emerson, Robert E., additional, González-Peramato, Pilar, additional, Kim, Kyu-Rae, additional, Lack, Ernest E., additional, Lopez-Beltran, Antonio, additional, Ma, Jun, additional, MacLennan, Gregory T., additional, Montironi, Rodolfo, additional, Nistal, Manuel, additional, Paal, Edina, additional, Paniagua, Ricardo, additional, Renshaw, Andrew A., additional, Reuter, Victor E., additional, Ro, Jae Y., additional, Ulbright, Thomas M., additional, and Young, Robert H., additional

Published
2020
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20. Renal Neoplasms

Author

Onur, Mehmet Ruhi, Bhatt, Shweta, Dogra, Vikram S., MacLennan, Gregory T., Dogra, Vikram S., editor, and MacLennan, Gregory T., editor

Published
2013
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26. Neoplasms of the Urethra

Author

Bertolotto, Michele, Valentino, Massimo, Barozzi, Libero, Serafini, Giovanni, Cacciato, Francesca, Pavlica, Pietro, MacLennan, Gregory T., Dogra, Vikram S., editor, and MacLennan, Gregory T., editor

Published
2013
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30. Neoplasms of the Penis and Scrotum

Author

Bertolotto, Michele, Pavlica, Pietro, Valentino, Massimo, Cacciato, Francesca, Tona, Giuseppe, Derchi, Lorenzo E., MacLennan, Gregory T., Dogra, Vikram S., editor, and MacLennan, Gregory T., editor

Published
2013
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34. Neoplasms of the Testis

Author

Kocakoc, Ercan, Bertolotto, Michele, Pavlica, Pietro, Valentino, Massimo, Cacciato, Francesca, Barozzi, Libero, Tona, Giuseppe, Derchi, Lorenzo E., MacLennan, Gregory T., Dogra, Vikram S., editor, and MacLennan, Gregory T., editor

Published
2013
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41. Adrenal Neoplasms

Author

Onur, Mehmet Ruhi, Turgut, Ahmet T., Dogra, Vikram S., MacLennan, Gregory T., Dogra, Vikram S., editor, and MacLennan, Gregory T., editor

Published
2013
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42. Data from Synergistic Simvastatin and Metformin Combination Chemotherapy for Osseous Metastatic Castration-Resistant Prostate Cancer

Author

Babcook, Melissa A., primary, Shukla, Sanjeev, primary, Fu, Pingfu, primary, Vazquez, Edwin J., primary, Puchowicz, Michelle A., primary, Molter, Joseph P., primary, Oak, Christine Z., primary, MacLennan, Gregory T., primary, Flask, Chris A., primary, Lindner, Daniel J., primary, Parker, Yvonne, primary, Daneshgari, Firouz, primary, and Gupta, Sanjay, primary

Published
2023
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43. Supplementary Figures 1 through 26, Supplementary Tables 1 through 5, and Supplementary Materials and Methods from Synergistic Simvastatin and Metformin Combination Chemotherapy for Osseous Metastatic Castration-Resistant Prostate Cancer

Author

Babcook, Melissa A., primary, Shukla, Sanjeev, primary, Fu, Pingfu, primary, Vazquez, Edwin J., primary, Puchowicz, Michelle A., primary, Molter, Joseph P., primary, Oak, Christine Z., primary, MacLennan, Gregory T., primary, Flask, Chris A., primary, Lindner, Daniel J., primary, Parker, Yvonne, primary, Daneshgari, Firouz, primary, and Gupta, Sanjay, primary

Published
2023
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48. Testis

Author

Maclennan, Gregory T., Cheng, Liang, MacLennan, Gregory T., and Cheng, Liang

Published
2011
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49. Prostate

Author

Maclennan, Gregory T., Cheng, Liang, MacLennan, Gregory T., and Cheng, Liang

Published
2011
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