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Akademický článek

Risk of developing subsequent primary lung cancer after receiving radiation for breast cancerCentral MessagePerspective

Autor: Lye-Yeng Wong, MD, Ntemena Kapula, MS, Hao He, PhD, Brandon A. Guenthart, MD, Lucas K. Vitzthum, MD, Kathleen Horst, MD, Douglas Z. Liou, MD, Leah M. Backhus, MD, Natalie S. Lui, MD, Mark F. Berry, MD, Joseph B. Shrager, MD, Irmina A. Elliott, MD

Publikováno v: JTCVS Open, Vol 16, Iss , Pp 919-928 (2023)

Background: Radiotherapy (RT) is integral to breast cancer treatment, especially in the current era that emphasizes breast conservation. The aim of our study was to determine the incidence of subsequent primary lung cancer after RT exposure for breas

Externí odkaz: https://doaj.org/article/a55d128d4c874072a2b7dcc82cb79977

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Akademický článek

Evaluating the clinical trends and benefits of low‐dose computed tomography in lung cancer patients

Autor: Edmund M. Qiao, Rohith S. Voora, Vinit Nalawade, Nikhil V. Kotha, Alexander S. Qian, Tyler J. Nelson, Michael Durkin, Lucas K. Vitzthum, James D. Murphy, Tyler F. Stewart, Brent S. Rose

Publikováno v: Cancer Medicine, Vol 10, Iss 20, Pp 7289-7297 (2021)

Abstract Background Despite guideline recommendations, utilization of low‐dose computed tomography (LDCT) for lung cancer screening remains low. The driving factors behind these low rates and the real‐world effect of LDCT utilization on lung canc

Externí odkaz: https://doaj.org/article/a678449980024eca95e9c343182e214c

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Akademický článek

Comparison of Hematologic Toxicity and Bone Marrow Compensatory Response in Head and Neck vs. Cervical Cancer Patients Undergoing Chemoradiotherapy

Autor: Lucas K. Vitzthum, Elena S. Heide, Helen Park, Casey W. Williamson, Paige Sheridan, Minh-Phuong Huynh-Le, Igor Sirak, Lichun Wei, Rafal Tarnawski, Umesh Mahantshetty, Cammie Nguyen, Jyoti Mayadev, Catheryn M. Yashar, Assuntina G. Sacco, Loren K. Mell

Publikováno v: Frontiers in Oncology, Vol 10 (2020)

Background: Hematologic toxicity is a critical problem limiting treatment delivery in cancer patients undergoing concurrent chemoradiotherapy. However, the extent to which anatomic variations in radiation dose limit chemotherapy delivery is poorly un

Externí odkaz: https://doaj.org/article/6b01c3837a16479381604639261a0dd4

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Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer

Autor: Edmund M. Qiao, Alexander S. Qian, Vinit Nalawade, Rohith S. Voora, Nikhil V. Kotha, Lucas K. Vitzthum, James D. Murphy

Publikováno v: JCO Clin Cancer Inform

PURPOSE Older hospitalized cancer patients face high risks of hospital mortality. Improved risk stratification could help identify high-risk patients who may benefit from future interventions, although we lack validated tools to predict in-hospital m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d2e63ad28c1e68b3d70eef078794a45
https://pubmed.ncbi.nlm.nih.gov/35671416

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Impacts of an Opioid Safety Initiative on US Veterans Undergoing Cancer Treatment

Autor: Lucas K Vitzthum, Vinit Nalawade, Paul Riviere, Mallika Marar, Timothy Furnish, Lewei A Lin, Reid Thompson, James D Murphy

Publikováno v: J Natl Cancer Inst

Background There is limited research on how the opioid epidemic and consequent risk reduction policies have affected pain management among cancer patients. The purpose of this study was to analyze how the Opioid Safety Initiative (OSI) implemented at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dee500a502b51b41cce87230b582b1f
https://doi.org/10.1093/jnci/djac017

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Data from Bias Reduction through Analysis of Competing Events (BRACE) Correction to Address Cancer Treatment Selection Bias in Observational Data

Autor: Loren K. Mell, Jingjing Zou, Andrew B. Sharabi, Alex K. Bryant, Paul J. Riviere, Kaveh Zakeri, Lucas K. Vitzthum, Caroline A. Thompson, Tyler J. Nelson, Casey W. Williamson

Purpose:Cancer treatments can paradoxically appear to reduce the risk of noncancer mortality in observational studies, due to residual confounding. Here we introduce a method, Bias Reduction through Analysis of Competing Events (BRACE), to reduce bia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30cf92803f0c887b84b3a4da8d998b10
https://doi.org/10.1158/1078-0432.c.6531107.v1

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