Zobrazeno 1 - 10
of 161
pro vyhledávání: '"John H Lewis"'
Publikováno v:
eLife, Vol 12 (2023)
Most membrane protein molecules undergo conformational changes as they transition from one functional state to another one. An understanding of the mechanism underlying these changes requires the ability to resolve individual conformational states, w
Externí odkaz:
https://doaj.org/article/da561d0b70174262ad7eece66a48fad6
Autor:
Thibaud P Coroller, Raymond H Mak, John H Lewis, Elizabeth H Baldini, Aileen B Chen, Yolonda L Colson, Fred L Hacker, Gretchen Hermann, David Kozono, Edward Mannarino, Christina Molodowitch, Jon O Wee, David J Sher, Joseph H Killoran
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e94859 (2014)
PURPOSE: To examine the frequency and potential of dose-volume predictors for chest wall (CW) toxicity (pain and/or rib fracture) for patients receiving lung stereotactic body radiotherapy (SBRT) using treatment planning methods to minimize CW dose a
Externí odkaz:
https://doaj.org/article/73988ce848eb4f278b98c89db974317a
Ovarian Transposition Before Pelvic Radiation Therapy: Spatial Distribution and Dose Volume Analysis
Autor:
Christopher Gay, MD, Yaniv R. Raphael, MD, Jennifer Steers, PhD, Diana J. Lu, MD, John H. Lewis, PhD, John DeMarco, PhD, Benedick Fraass, PhD, Bobbie J. Rimel, MD, Roja Zakariaee, PhD, Mitchell Kamrava, MD, Katelyn M. Atkins, MD, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 1, Pp 100804- (2022)
Purpose: There is a paucity of data analyzing the anatomic locations and dose volume metrics achieved for surgically transposed ovaries in patients desiring fertility or hormonal preservation receiving pelvic radiation therapy (RT), which were examin
Externí odkaz:
https://doaj.org/article/05ef71532f8040baa659f885739bac0f
Autor:
Jie Fu, PhD, Kamal Singhrao, PhD, Xinran Zhong, PhD, Yu Gao, PhD, Sharon X. Qi, PhD, Yingli Yang, PhD, Dan Ruan, PhD, John H. Lewis, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 6, Iss 5, Pp 100746- (2021)
Purpose: Most radiomic studies use the features extracted from the manually drawn tumor contours for classification or survival prediction. However, large interobserver segmentation variations lead to inconsistent features and hence introduce more ch
Externí odkaz:
https://doaj.org/article/f127b5177e814c4794c46ef5c1de75b6
Publikováno v:
Journal of Imaging, Vol 8, Iss 2, p 17 (2022)
A method for generating fluoroscopic (time-varying) volumetric images using patient-specific motion models derived from four-dimensional cone-beam CT (4D-CBCT) images was developed. 4D-CBCT images acquired immediately prior to treatment have the pote
Externí odkaz:
https://doaj.org/article/ba49db00539d4fecb0c7ae41f8499219
Autor:
Christian V. Guthier, Danielle S. Bitterman, David Kozono, John H. Lewis, Philip Selesnick, Christopher L. Williams, Robert A. Cormack, Elizabeth Huynh, Colin M. Carpenter, Jeremy S. Bredfeldt, Katelyn M. Atkins, Raymond H. Mak
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 112:996-1003
Cardiac toxicity is a well-recognized risk after radiation therapy (RT) in patients with non-small cell lung cancer (NSCLC). However, the extent to which treatment planning optimization can reduce mean heart dose (MHD) without untoward increases in l
To understand the mechanism of counter-transport of substrates by the amino-acid transporter AdiC, we used a state-of-the-art polarization-microscope to investigate conformation-specific changes of the emission polarization of a fluorophore attached
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d08eca33b5a4d3fd0d73c68a801b46b
https://doi.org/10.1101/2022.07.29.501984
https://doi.org/10.1101/2022.07.29.501984
Autor:
Chenyang Wang, John H. Lewis, Mitchell Kamrava, Minsong Cao, Fritz C. Eilber, Anusha Kalbasi, Sarah M. Dry, Daniel A. Low, Vahid Ghodrati, Peng Hu, Michael L. Steinberg, Susan V. Bukata, Yingli Yang, Jie Fu, Dan Ruan, Scott D. Nelson, Yu Gao, Nicholas M. Bernthal
Publikováno v:
Medical Physics. 48:3262-3372
PURPOSE The goal of this study was to predict soft tissue sarcoma response to radiotherapy (RT) using longitudinal diffusion-weighted MRI (DWI). A novel deep-learning prediction framework along with generative adversarial network (GAN)-based data aug
Publikováno v:
Medical Physics. 47:1443-1451
Purpose Increased utilization of magnetic resonance imaging (MRI) in radiotherapy has caused a growing need for phantoms that provide tissue-like contrast in both computed tomography (CT) and MRI images. Such phantoms can be used to compare MRI-based