Randall Ten Haken
Overview
Explore the profile of Randall Ten Haken including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
17
Citations
446
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Kong F, Hu C, Pryma D, Duan F, Matuszak M, Xiao Y, et al.
J Clin Oncol
. 2024 Oct;
42(33):3935-3946.
PMID: 39365957
Purpose: NRG-RTOG0617 demonstrated a detrimental effect of uniform high-dose radiation in stage III non-small cell lung cancer. NRG-RTOG1106/ECOG-ACRIN6697 (ClinicalTrials.gov identifier: NCT01507428), a randomized phase II trial, studied whether midtreatment F-fluorodeoxyglucose...
2.
Cui S, Hope A, Dilling T, Dawson L, Ten Haken R, El Naqa I
Semin Radiat Oncol
. 2022 Oct;
32(4):351-364.
PMID: 36202438
Outcome modeling plays an important role in personalizing radiotherapy and finds applications in specialized areas such as adaptive radiotherapy. Conventional outcome models that are based on a simplified understanding of...
3.
Hinton T, Karnak D, Tang M, Jiang R, Luo Y, Boonstra P, et al.
Transl Oncol
. 2022 Apr;
21:101428.
PMID: 35460942
Grade 2 and higher radiation pneumonitis (RP2) is a potentially fatal toxicity that limits efficacy of radiation therapy (RT). We wished to identify a combined biomarker signature of circulating miRNAs...
4.
Wei L, Owen D, Rosen B, Guo X, Cuneo K, Lawrence T, et al.
Phys Med
. 2021 Mar;
82:295-305.
PMID: 33714190
This work aims to identify a new radiomics signature using imaging phenotypes and clinical variables for risk prediction of overall survival (OS) in hepatocellular carcinoma (HCC) patients treated with stereotactic...
5.
Luo Y, McShan D, Ray D, Matuszak M, Jolly S, Lawrence T, et al.
IEEE Trans Radiat Plasma Med Sci
. 2019 Mar;
3(2):232-241.
PMID: 30854500
The purpose of this study is to demonstrate that a Bayesian network (BN) approach can explore hierarchical biophysical relationships that influence tumor response and predict tumor local control (LC) in...
6.
El Naqa I, Ruan D, Valdes G, Dekker A, McNutt T, Ge Y, et al.
Med Phys
. 2018 Aug;
45(10):e834-e840.
PMID: 30144098
With the era of big data, the utilization of machine learning algorithms in radiation oncology is rapidly growing with applications including: treatment response modeling, treatment planning, contouring, organ segmentation, image-guidance,...
7.
Mayo C, Yao J, Eisbruch A, Balter J, Litzenberg D, Matuszak M, et al.
Adv Radiat Oncol
. 2017 Nov;
2(3):503-514.
PMID: 29114619
Purpose: To develop statistical dose-volume histogram (DVH)-based metrics and a visualization method to quantify the comparison of treatment plans with historical experience and among different institutions. Methods And Materials: The...
8.
Jochems A, Deist T, El Naqa I, Kessler M, Mayo C, Reeves J, et al.
Int J Radiat Oncol Biol Phys
. 2017 Sep;
99(2):344-352.
PMID: 28871984
Purpose: Tools for survival prediction for non-small cell lung cancer (NSCLC) patients treated with chemoradiation or radiation therapy are of limited quality. In this work, we developed a predictive model...
9.
Meng X, Frey K, Matuszak M, Paul S, Ten Haken R, Yu J, et al.
Int J Radiat Oncol Biol Phys
. 2014 Apr;
89(1):145-51.
PMID: 24725697
Purpose: To study changes in functional activity on ventilation (V)/perfusion (Q) single-photon emission computed tomography (SPECT) during radiation therapy (RT) and explore the impact of such changes on lung dosimetry...
10.
Han C, Wang W, Quint L, Xue J, Matuszak M, Ten Haken R, et al.
Int J Radiat Oncol Biol Phys
. 2014 Apr;
89(2):313-21.
PMID: 24685448
Purpose: To investigate whether high-dose radiation to the pulmonary artery (PA) affects overall survival (OS) in patients with non-small cell lung cancer (NSCLC). Methods And Materials: Patients with medically inoperable/unresectable...