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12 results on '"Lee, Ho‐Fun Victor"'

1. Dual-tracer PET/CT in the management of hepatocellular carcinoma

Author

Chiu, Keith Wan Hang, Chiang, Chi Leung, Chan, Kenneth Sik Kwan, Hui, Yuan, Ren, Jingyun, Wei, Xiaojuan, Ng, Kwok Sing, Lee, Ho Fun Victor, Chia, Nam Hung, Cheung, Tan-To, Chan, Stephen, Chan, Albert Chi-Yan, Ng, Kwok Chai Kelvin, Seto, Wai Kay Walter, Khong, Pek-Lan, and Kong, Feng-Ming

Published
2024
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3. Role of chemotherapy in patients with nasopharynx carcinoma treated with radiotherapy (MAC-NPC): an updated individual patient data network meta-analysis

Author

Aupérin, Anne, Blanchard, Pierre, Benhamou, Ellen, Bourhis, Jean, Carmel, Alexandra, Chakrabandhu, Somvilai, Chan, Anthony TC, Chen, Lei, Chen, Ming-Yuan, Chen, Qiu-Yan, Chen, Yong, Chappell, Richard J, Choi, Horace, Chua, Daniel TT, Chua, Melvien Lee Kiang, Fountzilas, George, Higgins, Julian, Hong, Ming Huang, Hong, Ruey-Long, Huang, Pei-Yu, Hui, Edwin Pun, Hsiao, Chin-Fu, Kam, Michael, Koliou, Georgia Angeliki, Kwong, Dora L W, Lacas, Benjamin, Lai, Shu-Chuan, Lam, Ka On, LeBlanc, Michael L, Lee, Anne WM, Lee, Ho Fun Victor, Li, Wen Fei, Lim, Yoke, Ma, Brigette, Ma, Jun, Mai, Hai-Qiang, Mo, Frankie, Moon, James, Ng, Wai Tong, Ngan, Roger, Ollivier, Camille, O'Sullivan, Brian, Petit, Claire, Pignon, Jean-Pierre, Poh, Sharon X, Rücker, Gerta, Sham, Jonathan, Soong, Yoke Lim, Sun, Ying, Tan, Terence, Tang, Lin-Quan, Tung, Yuk, Wee, Joseph, Wu, Xuang, Xu, Tingting, Zhang, Li, Zhang, Yuan, Zhu, Guopei, Lee, Anne, Chan, Anthony T C, Li, Wen-Fei, Ngan, Roger K C, Hui, Edwin P, and Auperin, Anne

Published
2023
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4. Reconstruction of multi‐phase parametric maps in 4D‐magnetic resonance fingerprinting (4D‐MRF) by optimization of local T1 and T2 sensitivities.

Author

Wong, Yat Lam, Li, Tian, Liu, Chenyang, Lee, Ho‐Fun Victor, Cheung, Lai‐Yin Andy, Hui, Edward Sai Kam, Cao, Peng, and Cai, Jing

Subjects
MAGNETIC resonance imaging, LIVER cancer, RESONANCE, RESPIRATORY insufficiency, IN vivo studies
Abstract

Background: Time‐resolved magnetic resonance fingerprinting (MRF), or 4D‐MRF, has been demonstrated its feasibility in motion management in radiotherapy (RT). However, the prohibitive long acquisition time is one of challenges of the clinical implementation of 4D‐MRF. The shortening of acquisition time causes data insufficiency in each respiratory phase, leading to poor accuracies and consistencies of the predicted tissues' properties of each phase. Purpose: To develop a technique for the reconstruction of multi‐phase parametric maps in four‐dimensional magnetic resonance fingerprinting (4D‐MRF) through the optimization of local T1 and T2 sensitivities. Methods: The proposed technique employed an iterative optimization to tailor the data arrangement of each phase by manipulation of inter‐phase frames, such that the T1 and T2 sensitivities, which were quantified by the modified Minkowski distance, of the truncated signal evolution curve was maximized. The multi‐phase signal evolution curves were modified by sliding window reconstruction and inter‐phase frame sharing (SWIFS). Motion correction (MC) and dot product matching were sequentially performed on the modified signal evolution and dictionary to reconstruct the multi‐parametric maps. The proposed technique was evaluated by numerical simulations using the extended cardiac‐torso (XCAT) phantom with regular and irregular breathing patterns, and by in vivo MRF data of three health volunteers and six liver cancer patients acquired at a 3.0 T scanner. Results: In simulation study, the proposed SWIFS approach achieved the overall mean absolute percentage error (MAPE) of 8.62% ± 1.59% and 16.2% ± 3.88% for the eight‐phases T1 and T2 maps, respectively, in the sagittal view with irregular breathing patterns. In contrast, the overall MAPE of T1 and T2 maps generated by the conventional approach with multiple MRF repetitions were 22.1% ± 11.0% and 30.8% ± 14.9%, respectively. For in‐vivo study, the predicted mean T1 and T2 of liver by the proposed SWIFS approach were 795 ms ± 38.9 ms and 58.3 ms ± 11.7 ms, respectively. Conclusions: Both simulation and in vivo results showed that the approach empowered by T1 and T2 sensitivities optimization and sliding window under the shortened acquisition of MRF had superior performance in the estimation of multi‐phase T1 and T2 maps as compared to the conventional approach with oversampling of MRF data. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Role of chemotherapy in patients with nasopharynx carcinoma treated with radiotherapy (MAC-NPC): an updated individual patient data network meta-analysis

Author

Petit, Claire, primary, Lee, Anne, additional, Ma, Jun, additional, Lacas, Benjamin, additional, Ng, Wai Tong, additional, Chan, Anthony T C, additional, Hong, Ruey-Long, additional, Chen, Ming-Yuan, additional, Chen, Lei, additional, Li, Wen-Fei, additional, Huang, Pei-Yu, additional, Tan, Terence, additional, Ngan, Roger K C, additional, Zhu, Guopei, additional, Mai, Hai-Qiang, additional, Hui, Edwin P, additional, Fountzilas, George, additional, Zhang, Li, additional, Carmel, Alexandra, additional, Kwong, Dora L W, additional, Moon, James, additional, Bourhis, Jean, additional, Auperin, Anne, additional, Pignon, Jean-Pierre, additional, Blanchard, Pierre, additional, Aupérin, Anne, additional, Benhamou, Ellen, additional, Chakrabandhu, Somvilai, additional, Chan, Anthony TC, additional, Chen, Qiu-Yan, additional, Chen, Yong, additional, Chappell, Richard J, additional, Choi, Horace, additional, Chua, Daniel TT, additional, Chua, Melvien Lee Kiang, additional, Higgins, Julian, additional, Hong, Ming Huang, additional, Hui, Edwin Pun, additional, Hsiao, Chin-Fu, additional, Kam, Michael, additional, Koliou, Georgia Angeliki, additional, Lai, Shu-Chuan, additional, Lam, Ka On, additional, LeBlanc, Michael L, additional, Lee, Anne WM, additional, Lee, Ho Fun Victor, additional, Li, Wen Fei, additional, Lim, Yoke, additional, Ma, Brigette, additional, Mo, Frankie, additional, Ngan, Roger, additional, Ollivier, Camille, additional, O'Sullivan, Brian, additional, Petit, Claire, additional, Poh, Sharon X, additional, Rücker, Gerta, additional, Sham, Jonathan, additional, Soong, Yoke Lim, additional, Sun, Ying, additional, Tang, Lin-Quan, additional, Tung, Yuk, additional, Wee, Joseph, additional, Wu, Xuang, additional, Xu, Tingting, additional, and Zhang, Yuan, additional

Published
2023
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6. Combined 18F-FDG and 11C-acetate positron emission tomography/computed tomography in staging and treatment decision in patients with hepatocellular carcinoma: A cost-effectiveness analysis.

Author

Chan, Sik-Kwan, primary, Chiu, Wan Hang Keith, additional, Lee, Ho Fun Victor, additional, Vardhanabhuti, Varut, additional, Cheung, Tan To, additional, Chan, Albert, additional, Chan, Stephen L., additional, Khong, Pek-Lan, additional, Ng, Kelvin Kwok Chai, additional, Seto, Wai-Kay, additional, Kong, Feng-Ming Spring, additional, and Chiang, Chi Leung, additional

Published
2022
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7. A dual‐supervised deformation estimation model (DDEM) for constructing ultra‐quality 4D‐MRI based on a commercial low‐quality 4D‐MRI for liver cancer radiation therapy

Author

Xiao, Haonan, primary, Ni, Ruiyan, additional, Zhi, Shaohua, additional, Li, Wen, additional, Liu, Chenyang, additional, Ren, Ge, additional, Teng, Xinzhi, additional, Liu, Weiwei, additional, Wang, Weihu, additional, Zhang, Yibao, additional, Wu, Hao, additional, Lee, Ho‐Fun Victor, additional, Cheung, Lai‐Yin Andy, additional, Chang, Hing‐Chiu Charles, additional, Li, Tian, additional, and Cai, Jing, additional

Published
2022
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8. External Validation of a Nomogram to Predict Survival and Benefit of Concurrent Chemoradiation for Stage II Nasopharyngeal Carcinoma

Author

Yip, Pui-Lam, primary, Lee, Shing-Fung, additional, Choi, Cheuk-Wai Horace, additional, Chan, Po-Chung Sunny, additional, Cheung, Ka-Wai Alice, additional, Chow, Chung-Hang James, additional, Cheung, Ka-Man, additional, Lai, Wing-Yu Jessica, additional, Lee, Ho-Fun Victor, additional, Lam, Ka-On, additional, Chiang, Chi-Leung, additional, Wong, Chun-Yin Edwin, additional, Poon, Ming-Chun Darren, additional, Tong, Macy, additional, Au, Kwok-Hung, additional, Ng, Wai-Tong, additional, Ngan, Kai-Cheong Roger, additional, Lee, Wing-Mui Anne, additional, and Tung, Yuk Stewart, additional

Published
2021
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12. Real-time High-quality Multi-parametric 4D-MRI Using Deep Learning-based Motion Estimation from Ultra-undersampled Radial K-space

Author

Xiao, Haonan, primary, Wong, Yat Lam, additional, Li, Wen, additional, Liu, Chenyang, additional, Zhi, Shaohua, additional, Liu, Weiwei, additional, Wang, Weihu, additional, Zhang, Yibao, additional, Wu, Hao, additional, Lee, Ho-Fun Victor, additional, Cheung, Lai-Yin Andy, additional, Chang, Hing-Chiu Charles, additional, Li, Tian, additional, and Cai, Jing, additional

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