Citations

Mayo Clinic

Clear

351 citation(s) found for "Ma, Sung J".

Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers
Blechter, Batel , Wang, Xiaoyu , Karsonaki, Christiana, Shi, Jianxin , Shiraishi, Kouya , Choi, Jiyeon , Matsuo, Keitaro , Chen, Tzu‐Yu , Kim, Young Tae , Choudhury, Parichoy Pal , Williams, Jacob , Landi, Maria Teresa , Yin, Zhihua , Zhou, Baosen , Seow, Wei Jie , Song, Lei , Chang, I‐Shou , Chien, Li-Hsin , Wong, Maria Pik , Richardson, Brian Douglas , Li, Shilan , Breeze, Charles E. , Bassig, Bryan A. , Sm, Jason Yy Wong, Chung, Lap Ping, Zhang, Xu‐Chao , Caporaso, Neil E. , Chang, Jiang , Ho, Jcm , Momozawa, Yukihide , Kobayashi, Masashi , Okubo, Kenichi , Honda, Takayuki , Kunitoh, Hideo , Watanabe, Shun-ichi, Hamamoto, Ryuji , Goto, Kōichi , Minamiya, Yoshihiro, Wakai, Kenji , Murakami, Yoshinori , Shimizu, Kimihiro , Suzuki, Hiroyuki , Ohtaki, Yoichi , Tanaka, Kazumi , Wu, Tangchun , Wei, Fusheng, Kim, Yeul Hong , Chang, Gee-Chen , Chen, Kuan‐Yu, Chen, Yuh-Min, Park, Jae Yong , Kweon, Sun-Seog, Gao, Yu‐Tang , Schwartz, Ann G. , Gorlov, Ivan , Wu, Xifeng , Yang, Ping , Lam, Stephen , Bojesen, Stig E. , Ji, Bu‐Tian , Wichmann, H. E., Christiani, D.C., Brennan, Paul , McKay, James , Field, John K. , Shete, Sanjay , Marchand, Loı̈c Le, Liu, Geoffrey , Andrew, Angeline S. , Zienolddiny-Narui, Shan, Grankvist, Kjell , Taylor, Fiona, Aldrich, Melinda C. , Jeon, Hyo‐Sung, Hu, Zhibin , Burdett, Laura, Yeager, Meredith, Hutchinson, Amy , Hicks, Belynda , Liu, Jia , Berndt, Sonja I, Wu, Wei , Wang, Junwen , Choi, Jin Eun , Park, Kyong Hwa , Sung, Sook Whan , Tan, Wen , Sihoe, Alan , Choi, Yi Young, Hung, Hsiao-Han , Vermeulen, Roel , Wu, Junjie , Tsai, Fang-Yu , Chan, John K. C., Li, Jihua , Lin, Hsien-Chih, Liu, Jie , Sawada, Norie , Yamaji, Taiki , Wyatt, Kathleen , Qi, T. Y., Li, Xuelian , Ren, Yangwu , Chao, Ann, Zhu, Junjie , Chen, Chih‐Yi , ScD, Chien-Jen Chen, Stevens, Victoria L. , Fraumeni, Joseph F., Lin, Kuang , Walters, Robin G., Chen, Zhengming, Chatterjee, Nilanjan , Gorlova, Olga Y. , Hsiung, Chao A. , Chanock, Stephen J, Rothman, Nathaniel , Kohno, Takashi , Lan, Qing, Kartsonaki, Christiana , Liu, Geoffrey , Field, John K , Matsuo, Keitaro , Wang, Junwen , Bojesen, Stig E , Grankvist, Kjell , Chen, Chih-Yi , Dai, Juncheng , Hung, Rayjean J. , Chen, Kexin , Shu, Xiao-Ou , Choudhury, Parichoy Pal , Lin, Dongxin , Zheng, Wei , Wang, Jiucun , Hu, Wei , Cai, Qiuyin , Hong, Yun‐Chul , Kim, Hee Nam , Wu, Yi-Long Lung Cancer , Richardson, Brian Douglas , Zhang, Tongwu , Wang, Zhaoming , Kim, Jin Hee , Albanes, Demetrius , Shin, Min‐Ho , Chung, Lap-Ping, Yang, Yang , Zheng, Hong , Dai, Hong , Yatabe, Yasushi , Kim, Young‐Chul , Daigo, Yataro , Kamatani, Yoichiro , Kobayashi, Masashi , Hosgood, Howard Dean , WATANABE, Shun-ichi J. , Miyagi, Yohei , Matsumoto, Shingo , Horinouchi, Hidehito , Tsuboi, Masahiro , Takahashi, Atsushi , Goto, Akiteru , Hara, Megumi , Nishida, Yuichiro , Takeuchi, Kenji , Matsuda, Koichi , Murakami, Yoshinori, Suzuki, Hiroyuki , Saito, Motonobu , Machiela, Mitchell J. , Oh, In‐Jae , Lee, Victor , Su, Wu‐Chou , Seow, Adeline , Kweon, Sun-Seog , Liu, Jianjun , Houlston, Richard S. , Tardón, Adonina , Chen, Chu, Johansson, Mattias , Risch, Angela , Bickeböller, Heike , Rennert, Gad , Arnold, Susanne M. , Davies, Michael P.A. , Kiemeney, Lambertus A. , Cox, Angela , Yuan, Jian-Min , Lazarus, Philip J. , Schabath, Matthew B. , Jiang, Shih Sheng , Chen, Chung–Hsing , Hsiao, Chin‐Fu , Yeager, Meredith , Liu, Jia , Berndt, Sonja I. , Li, Yuqing , Kang, Chang Hyun , Wang, Wen‐Chang , Xu, Jun, Guan, Peng , Yu, Chong‐Jen , Yang, Gong , Park, In Kyu , Cheng, Iona C. , Song, Bao, Wyatt, Kathleen , Ma, Hongxia , Zhu, Meng , Wang, Yifan , Qi, Tianchen, Iwasaki, Motoki , Wu, Guoping , Yang, Pan‐Chyr , Walters, Robin G. , Chatterjee, Nilanjan , Amos, Christopher I. , Shen, Hongbing , Rothman, Nathaniel , Lan, Qing , Zhang, Haoyu

JNCI: Journal of the National Cancer Institute | September 18, 2025 | Volume: 118 | Issue: 2 | Pages: 231-249

10.1093/jnci/djaf272 | PMID 41032288 Get It

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.
Quality assurance of the inter‐spot beam delivery of a dose driven continuous scanning proton therapy system
Chua, Clifford Ghee Ann , Lew, Kah Seng, Koh, Calvin Wei Yang , Wibawa, Andrew , Master, Zubin , Lee, James Cheow Lei, Beltran, Chris , Tan, Hong Qi , Beltran, Chris J , Furutani, Keith M. , Lee, Kang Hao , Park, Sung Yong

Medical Physics | August 14, 2025 | Volume: 52 | Issue: 8 | Pages: No page available

10.1002/mp.18050 | PMID 40804772 Get It

Abstract Background Dose‐driven continuous scanning (DDCS) is a type of beam delivery in Hitachi pencil beam scanning (PBS) particle therapy system. Particle beam is irradiated continuously between spots to achieve a higher effective dose rate and a shorter beam delivery time. The beam is only turned off at break spots, the end of a treatment layer and during spill change. The break spot is a unique feature of the DDCS introduced by the treatment planning system (TPS) to interrupt continuous scanning. DDCS separates the dose delivery of a spot into a move dose and stop dose components. The move dose is controlled by the scanning speed and beam current, while the stop dose delivers the remaining monitor units (MUs). Hence, rigorous quality assurance (QA) of the scanning speed and functionality of break spot are required to ensure safe and successful DDCS delivery. Purpose We aim to report for the first time the QA methodology and result for DDCS, focusing on the scanning speed and break spot validation. Methods A rectangular spiral irradiation pattern with different degree of break spots were irradiated on a 2D strip ionization chamber (CROSSmini) detector using 50 time resolution to validate the break spots. Four methods of measuring scanning speeds were proposed. Using a spiral irradiation pattern, methods one and two applied linear regression to the scanning time measured by the CROSSmini for different inter‐spot distances, with measurements taken at sampling rates of 5 and 20 kHz, respectively. Methods three and four measured the scanning time of single inter‐spot distances in the X and Y directions. Method three measured the scanning time with the CROSSmini while method four measured the rise and fall time of the scanning magnet (SCM) current. All measurements were performed with 70.2, 150.2 and 228.7 MeV proton beam energies and three different beam currents of 8, 14 and 20 MU/s. Lastly, the scanning speed tolerance limit was calculated analytically under the requirement of avoiding a beam abort when the stop dose was less than zero. Results The data recorded by the CROSSmini under the spiral irradiation patterns with break spots was reconstructed into a 2D dose, and the break spots’ operations were visually validated for all the energies and beam currents. There were no statistically significant difference in the measured X and Y scanning speeds across the four methods. However, the last method involving the SCM current yielded the largest type A uncertainty of up to 25% () due to the noisy signal. The first method with the linear regression and 5 kHz acquisition rate was preferred due to a smaller type A uncertainty of up to 2.0% and a lower false negative rate in detecting the rising and falling edges during scanning. The calculated tolerance limit based on our current DDCS setting was found to be 0.50 times of the expected scanning speed. Conclusion We have introduced QA protocols for DDCS, designed to ensure complete and safe beam delivery without interruptions caused by move doses exceeding planned spot doses.
Redundancy‐weighted FDK reconstruction for dual‐detector combined‐scanning CBCT: Practical implementation for image guided particle therapy
Song, Bongyong , Whitaker, Thomas J. , Gautam, Archana S., Olberg, Sven, Choi, Byongsu , Lee, Sung Uk , Jeong, Jong Hwi , Kim, Jeongheon, Tan, Jun , Lü, Bo , Yaddanapudi, Sridhar , Beltran, Chris , Park, Justin C., Tan, Jun , Furutani, Keith, Beltran, Chris J , Yaddanapudi, Sridhar , Gautam, Archana S., Liang, Xiaoying , Furutani, Keith M. , Tan, Jun

Medical Physics | August 9, 2025 | Volume: 52 | Issue: 8 | Pages: No page available

10.1002/mp.17996 | PMID 40781831 Get It

Abstract Background Cone‐beam computed tomography (CBCT) is essential for image‐guided particle therapy (IGPT), providing daily patient positioning, anatomical monitoring, and treatment verification. However, conventional single‐detector CBCT suffers from poor soft‐tissue contrast, long acquisition times, and motion artifacts, reducing its effectiveness for adaptive radiotherapy workflows. Addressing these challenges requires an advanced CBCT reconstruction approach capable of enhancing image quality while reducing scan time and radiation exposure. Purpose This study introduces a Dual Detector Combined Scanning (DDCS) CBCT reconstruction algorithm to overcome conventional CBCT limitations. By integrating a dual‐source, orthogonal imaging setup, DDCS significantly reduces scanning time and imaging artifacts. A modified Parker‐weighting algorithm further improves image reconstruction accuracy, ensuring high‐fidelity visualization. The goal is to enhance adaptive radiotherapy by improving real‐time patient positioning, dose verification, and motion management. Methods A dual‐detector CBCT system was designed to acquire orthogonal projections simultaneously, reducing scan time and improving data completeness. A modified Parker‐weighting algorithm corrected angular overlap distortions, ensuring better reconstruction accuracy. The system was evaluated using numerical and physical phantom studies to assess spatial resolution, contrast‐to‐noise ratio (CNR), and artifact reduction. Additionally, a dynamic phantom simulated respiratory motion, validating motion robustness for adaptive radiotherapy. Performance was compared against single‐detector CBCT, focusing on image fidelity, noise suppression, and computational efficiency. Results DDCS‐CBCT demonstrated higher CNR, reduced motion artifacts, and improved spatial resolution, leading to more accurate anatomical visualization. The system's efficiency enables faster, more reliable patient setup in IGPT while maintaining a lower imaging dose. Conclusion The proposed DDCS‐CBCT approach significantly improves imaging accuracy, reduces scan time, and enhances real‐time volumetric guidance in IGRT/IGPT. These findings support the clinical feasibility of the DDCS system and its integration into online adaptive radiotherapy workflows.
Molecular, histologic, and clinical characterization of methylation class pleomorphic xanthoastrocytoma: An analysis of 469 tumors
Dampier, Christopher H. , Shah, Niharika, Neto, Osório Lopes Abath , Abdullaev, Zied , Alexandrescu, Sanda , Armstrong, Terri, Baker, Tiffany , Cathcart, Sahara , Chung, Hye‐Jung, Cimino, Patrick J. , Conway, Kyle , Dazelle, Karen , Etminam, Nima, Fernandes, Igor, Ferrone, Christina K. , Gilani, Ahmed , Gilbert, Mark, Gregory, Jason V. , Lee, Han Sung, Lopes, Maria Beatriz, Neill, Stewart G. , Ozer, Byram H. , Paulus, Werner, Penas‐Prado, Marta, Prinz, Marco , Pytel, Peter , Quezado, Martha , Raffeld, Mark , Rajan, Sharika, Reifenberger, Guido, Robinson, Lorraina , Schittenhelm, Jens , Thomas-Ogunniyi, Jaiyeola , Toland, Angus , Turakulov, Rust , Aldape, Kenneth , Cimino, Patrick J , Mao, Qinwen , Prinz, Marco , Ratliff, Miriam , Robinson, Lorraina , Schittenhelm, Jens , Thomas, Christian , Vaubel, Rachael A , Wu, Jing , Giannini, Caterina , Brandner, Sebastian , von Deimling, Andreas , Aldape, Kenneth , Dampier, Christopher H , Galbraith, Kristyn , Ebrahimi, Azadeh , Andreiuolo, Felipe , Cotter, Jennifer A. , Costa, Felipe D’Almeida , Ferman, Sima , Fernandes, Igor, Gregory, Jason, Ketchum, Courtney , Lee, Ina , Lopes, M. Beatriz S. , Mao, Qinwen , Marshall, Michael S. , McCord, Matthew , Nirschl, Jeffrey , Peñas-Prado, Marta , Schrimpf, Daniel , Singh, Omkar , Thomas, Christian , Thomas, Diana , Vaubel, Rachael A. , Wadhwani, Nitin R. , Giannini, Caterina , Snuderl, Matija , Deimling, Andreas von

Neuro-Oncology Advances | July 21, 2025 | Volume: 7 | Issue: 1 | Pages: No page available

10.1093/noajnl/vdaf089 | PMID 40735274 Get It

Abstract Background Methylation class pleomorphic xanthoastrocytoma (mcPXA) comprises tumors with the DNA methylation signature of classical PXA but with a wider histologic spectrum, including overlap with glioblastoma (GBM). Methods To clarify the histologic and molecular scope of mcPXA and characterize its clinical behavior, a cohort of 469 tumor samples from 458 patients matching to mcPXA by the DKFZ classifier (v12.6 score ≥0.85) was interrogated. Results Patient median age was 23 years (range 1-73 years) with a female predominance (259 female/199 male). CDKN2A/B homozygous deletion was observed in 406 of 469 (87%) samples. In samples tested for BRAF p.V600E mutations (n = 279), 240 (86%) harbored the mutation. A chr7+/chr10− pattern was observed in 103 of 469 (22%) samples. Among samples tested for TERT promoter mutations (n = 143), 32 (22%) harbored the mutation. Progression-free and overall survival of patients with mcPXA were comparable to patients with methylation class IDH-mutant astrocytoma, low grade, but a GBM-like subset (ie, cases with a pre-methylation working diagnosis of GBM) showed shorter survival. Histologic features of high grade, including palisading necrosis and microvascular proliferation, were prognostic in mcPXA. Compared to patients with BRAF p.V600E-altered GBM, patients with mcPXA were younger and had a lower frequency of TERT promoter mutations. Conclusion Tumors in mcPXA share molecular characteristics with histologically defined PXA, and high-grade histologic features can help predict their clinical behavior. The use of an epigenetic classification of PXA reveals that this group of tumors is more common than previously appreciated and warrants in-depth study to identify efficacious therapeutic options.
Atomic-resolution structure of a chimeric Powassan tick-borne flavivirus
Das, Sayan , Narayanan, Anoop , Wang, Anqi , Moustafa, Ibrahim M. , Cho, Sung Hyun , Mitzel, Dana , Jose, Joyce , Hafenstein, Susan , Hafenstein, Susan L

Science Advances | July 9, 2025 | Volume: 11 | Issue: 28 | Pages: No page available

10.1126/sciadv.adw7700 | PMID 40632869 Get It

Powassan virus (POWV) is an emerging tick-borne flavivirus for which no vaccine or antiviral treatment exists. The incidence of human infections of POWV in North America has been increasing because of the expanding distribution of the tick vector Ixodes scapularis that transmits POWV to humans. To mitigate the dangers of handling a risk group 3 human pathogen, a chimeric virus was constructed from the genetic backbone of a yellow fever virus vaccine strain 17D (YFV-17D) and the external structural proteins of POWV lineage II. The chimera had a comparable phenotype as POWV. The atomic resolution of yellow fever virus-Powassan virus chimera (yPOWV) structure was built without ambiguity, revealing surface glycans and lipid pocket factors. The similarity to other flavivirus structures and the phenotype similar to YFV-17D suggest that there could be future potential as a vaccine candidate.
International Delphi Consensus on Medial Meniscal Root Tears Shows High Agreement on Diagnosis, Treatment, and Rehabilitation but Lack of Agreement on Treatment of Asymptomatic Tears
Chahla, Jorge , Chahla, Jorge, García, José Rafael , Tollefson, Luke V. , Dzidzishvili, Lika , Gerhold, Cameron , Krych, Aaron J. , LaPrade, Robert F., Group, Meniscus Root International Expert, Bassett, Ashley J., Bernholt, David L., Bhatia, Sanjeev, Bøe, Berte, Brown, Charles H., Chung, Kyu Sung, Cohen, Moisés, Engebretsen, Lars, Familiari, Filippo, Faucett, Scott C., Feucht, Matthias J., Furumatsu, Takayuki, Geeslin, Andrew G., Getgood, Alan M.J., Hiranaka, Takaaki, Inderhaug, Eivind, Iñiguez, C. Magaly, Johnson, Darren L., Kim, Jin Goo, Kim, Sung‐Hwan, Kodama, Yuya, Kon, Elizaveta, Kopf, Sebastian, LaPrade, Christopher M., Larson, Christopher M., Lee, Dhong Won, Lind, Martin, Logan, Catherine A., López‐Torres, Irene I., Lording, Timothy, Maestu, Rodrigo, Moatshe, Gilbert, Monson, Jill K., Murray, Iain R., Musahl, Volker, Vyhmeister, Roberto Negrin, Okazaki, Yuki, Parker, David, Petersen, Wolf, Riboh, Jonathan C., Seil, Romain, Servien, Elvire, Sonnery‐Cottet, Bertrand, Spalding, Tim, Stevenson, Ciara, Stuart, Michael J., Tanaka, Miho J., Tapasvi, Sachin, Tuca, Maria, Wal, Wybren A. van der, Verma, Nikhil N., Bormann, Richard PB. von, Yanke, Adam B., Krych, Aaron J., Kopf, Sebastian , Krych, Aaron J , Chahla, Jorge A , Chahla, Jorge, Allende, Felicitas , LaPrade, Robert F., Group, Meniscus Root International Expert, Bassett, Ashley J., Bernholt, David L., Bhatia, Sanjeev, Bøe, Berte, Brown, Charles H., Chung, Kyu Sung, Cohen, Moisés, Engebretsen, Lars, Familiari, Filippo, Faucett, Scott C., Feucht, Matthias J., Furumatsu, Takayuki, Geeslin, Andrew G., Getgood, Alan M.J., Hiranaka, Takaaki, Inderhaug, Eivind, Iñiguez, C. Magaly, Johnson, Darren L., Kim, Jin Goo, Kim, Sung‐Hwan, Kodama, Yuya, Kon, Elizaveta , LaPrade, Christopher M., Larson, Christopher M., Lee, Dhong Won, Lind, Martin, Logan, Catherine A., López‐Torres, Irene I., Lording, Timothy, Maestu, Rodrigo, Moatshe, Gilbert, Monson, Jill K., Murray, Iain R., Musahl, Volker, Vyhmeister, Roberto Negrin, Okazaki, Yuki, Parker, David, Petersen, Wolf, Riboh, Jonathan C., Seil, Romain, Servien, Elvire, Sonnery‐Cottet, Bertrand, Spalding, Tim, Stevenson, Ciara, Stuart, Michael J., Tanaka, Miho J., Tapasvi, Sachin, Tuca, Maria, Wal, Wybren A. van der, Verma, Nikhil N., Bormann, Richard PB. von, Yanke, Adam B., Krych, Aaron J.

Arthroscopy | July 3, 2025 | Volume: 41 | Issue: 11 | Pages: 4683-4698

10.1016/j.arthro.2025.06.028 | PMID 40614908 Get It

Purpose To develop an expert consensus statement on the diagnosis, management, and rehabilitation of medial meniscal root tears (MMRTs) using a modified Delphi technique. Methods A working group developed statements on MMRT diagnosis, nonoperative management, surgical indications, surgical management, alignment, and rehabilitation using modified Delphi techniques. Fifty‐six experts were surveyed over 3 rounds to reach consensus, with agreement measured on a 5‐point Likert scale. Statements were included, revised, or excluded on the basis of predefined thresholds (≥75% agreement, <20% disagreement). Experts suggested revisions or new statements in the first 2 rounds, and final consensus statements were included. Results All 56 experts completed 3 survey rounds. Experts agreed that root tears may occur with no known history of trauma, typically in older patients, and that it should be diagnosed with an magnetic resonance imaging. In symptomatic patients with MMRTs without advanced osteoarthritis should be repaired using an anatomic transtibial pull‐out technique (performing a pie‐crusting technique can be helpful for visualization). Nonoperative management is advised for patients with advanced osteoarthritis. High tibial osteotomy may be considered for significant varus malalignment during MMRT repair. The only statement without consensus was the management of asymptomatic MMRTs with mild medial compartment cartilage wear, indicating ongoing debate. Conclusions Overall, 98% of statements reached consensus. There is agreement that magnetic resonance imaging is the gold standard for diagnosis. Symptomatic MMRTs without advanced osteoarthritis should be repaired early using an anatomic transtibial pull‐out technique. End‐stage knee osteoarthritis warrants nonoperative management of MMRTs, and a structured postoperative protocol with limited weightbearing and range of motion is essential after repair. No agreement was reached on managing asymptomatic MMRTs in patients without significant medial compartment degeneration. Meniscal centralization sutures may help in cases of substantial extrusion, but their routine use is debated. Level of Evidence Level V, consensus of expert opinion.