Výsledky vyhledávání - "Meng-Kang Hsieh"

Akademický článek

Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration

Autor: Nariman Jahani, Eric Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Nola Hylton, David Newitt, Christos Davatzikos, Despina Kontos

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)

Abstract We analyzed DCE-MR images from 132 women with locally advanced breast cancer from the I-SPY1 trial to evaluate changes of intra-tumor heterogeneity for augmenting early prediction of pathologic complete response (pCR) and recurrence-free sur

Externí odkaz: https://doaj.org/article/0601eed831a34a94ace4834b105c119b

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Akademický článek

White matter microstructure, white matter lesions, and hypertension: An examination of early surrogate markers of vascular-related brain change in midlife

Autor: Thaddeus Haight, R. Nick Bryan, Guray Erus, Meng-Kang Hsieh, Christos Davatzikos, Ilya Nasrallah, Mark D'Esposito, David R. Jacobs, Jr, Cora Lewis, Pamela Schreiner, Stephen Sidney, Osorio Meirelles, Lenore J. Launer

Publikováno v: NeuroImage: Clinical, Vol 18, Iss , Pp 753-761 (2018)

Objective: We examined imaging surrogates of white matter microstructural abnormalities which may precede white matter lesions (WML) and represent a relevant marker of cerebrovascular injury in adults in midlife. Methods: In 698 community-dwelling ad

Externí odkaz: https://doaj.org/article/25d56061077b4b8faa523ec1234aeabc

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Dissertation/ Thesis

Enzymatic process for the synthesis of N-Acetyl-D-Mannosamine

Autor: Meng-Kang Hsieh, 謝孟鋼

97
Sialic acid, which plays a significant role in numerous biological functions, is an important precursor for the synthesis of many pharmaceutical drugs such as anti-influenza virus agents. Enzymatic process employing N-acetyl-D-neuraminic acid

Externí odkaz: http://ndltd.ncl.edu.tw/handle/90363957899698827315

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Incorporating Robustness to Imaging Physics into Radiomic Feature Selection for Breast Cancer Risk Estimation

Autor: Eric A. Cohen, Christopher G. Scott, Emily F. Conant, Despina Kontos, Meng-Kang Hsieh, Andrew D. A. Maidment, Lauren Pantalone, Raymond J. Acciavatti, Omid Haji Maghsoudi, Aimilia Gastounioti, Karla Kerlikowske, Celine M. Vachon, Stacey J. Winham

Publikováno v: Cancers, Vol 13, Iss 5497, p 5497 (2021)
Cancers
Volume 13
Issue 21

Digital mammography has seen an explosion in the number of radiomic features used for risk-assessment modeling. However, having more features is not necessarily beneficial, as some features may be overly sensitive to imaging physics (contrast, noise,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c62ed3e5f49465656f496af353ed5e2c
https://pubmed.ncbi.nlm.nih.gov/34771660

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Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis

Autor: Stacey J. Winham, Despina Kontos, Omid Haji Maghsoudi, Karla Kerlikowske, Celine M. Vachon, Lauren Pantalone, Eric A. Cohen, Christopher G. Scott, Meng-Kang Hsieh, Aimilia Gastounioti, Andrew D. A. Maidment, Raymond J. Acciavatti, Emily F. Conant

Publikováno v: Medical Imaging 2020: Computer-Aided Diagnosis.

Studies have shown that combining calculations of radiomic features with estimates of mammographic density results in an even better assessment of breast cancer risk than density alone. However, to ensure that risk assessment calculations are consist

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d0a8fc75bb3ff1b94a5d14c1907c921
https://doi.org/10.1117/12.2549163

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Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk

Publikováno v: BMJ Open
Dench, E, Bond-smith, D, Darcey, E, Lee, G, Aung, Y K, Chan, A, Cuzick, J, Ding, Z Y, Evans, C F, Harvey, J, Highnam, R, Hsieh, M, Kontos, D, Li, S, Mariapun, S, Nickson, C, Nguyen, T L, Pertuz, S, Procopio, P, Rajaram, N, Repich, K, Tan, M, Teo, S, Trinh, N H, Ursin, G, Wang, C, Dos-santos-silva, I, Mccormack, V, Nielsen, M, Shepherd, J, Hopper, J L & Stone, J 2019, ' Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk ', BMJ Open, vol. 9, no. 12, e031041, pp. 1-6 . https://doi.org/10.1136/bmjopen-2019-031041

IntroductionFor women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are multiple methods of measuring mammographic density and other features in a mammogram that co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7365491569e6f8cda02b6b595d75f385
http://europepmc.org/articles/PMC6955467

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White matter microstructure, white matter lesions, and hypertension: An examination of early surrogate markers of vascular-related brain change in midlife

Autor: Ilya M. Nasrallah, Meng-Kang Hsieh, R. Nick Bryan, Osorio Meirelles, Cora E. Lewis, David R. Jacobs, Stephen Sidney, Thaddeus J. Haight, Christos Davatzikos, Mark D'Esposito, Pamela J. Schreiner, Lenore J. Launer, Guray Erus

Publikováno v: NeuroImage : Clinical
NeuroImage: Clinical, Vol 18, Iss, Pp 753-761 (2018)

Objective We examined imaging surrogates of white matter microstructural abnormalities which may precede white matter lesions (WML) and represent a relevant marker of cerebrovascular injury in adults in midlife. Methods In 698 community-dwelling adul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70026dc959305df4cc685865f7ca17d5
https://doi.org/10.1016/j.nicl.2018.02.032

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Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration

Autor: Despina Kontos, Susan P. Weinstein, David C. Newitt, Christos Davatzikos, Eric Cohen, Meng-Kang Hsieh, Lauren Pantalone, Nola M. Hylton, Nariman Jahani

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
Scientific reports, vol 9, iss 1
Scientific Reports

We analyzed DCE-MR images from 132 women with locally advanced breast cancer from the I-SPY1 trial to evaluate changes of intra-tumor heterogeneity for augmenting early prediction of pathologic complete response (pCR) and recurrence-free survival (RF

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93f76e854c41768727739f51b7950aff
https://doi.org/10.1038/s41598-019-48465-x

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Correlative hierarchical clustering-based low-rank dimensionality reduction of radiomics-driven phenotype in non-small cell lung cancer

Autor: Nariman Jahani, Bardia Yousefi, José Marcio Luna, Jeffrey C. Thompson, Despina Kontos, Meng-Kang Hsieh, Sharyn I. Katz, Eric Cohen, Rhea Chitalia, Erica L. Carpenter, Michael J. LaRiviere

Publikováno v: Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications.

Background: Lung cancer is one of the most common cancers in the United States and the most fatal, with 142,670 deaths in 2019. Accurately determining tumor response is critical to clinical treatment decisions, ultimately impacting patient survival.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6498046796cb3dbb327603d645812ed4
https://doi.org/10.1117/12.2515609

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