Kyle Lafata
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Explore the profile of Kyle Lafata including associated specialties, affiliations and a list of published articles.
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Articles
18
Citations
165
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Recent Articles
11.
Ding Y, Meyer M, Lyu P, Rigiroli F, Ramirez-Giraldo J, Lafata K, et al.
Acta Radiol
. 2021 Apr;
63(6):828-838.
PMID: 33878931
Background: The value of dual-energy computed tomography (DECT)-based radiomics in renal lesions is unknown. Purpose: To develop DECT-based radiomic models and assess their incremental values in comparison to conventional measurements...
12.
Chang Y, Lafata K, Wang C, Duan X, Geng R, Yang Z, et al.
Biomed Phys Eng Express
. 2021 Jan;
6(2):025016.
PMID: 33438642
Purpose: to develop digital phantoms for characterizing inconsistencies among radiomics extraction methods based on three radiomics toolboxes: CERR (Computational Environment for Radiological Research), IBEX (imaging biomarker explorer), and an in-house...
13.
Wang C, Liu C, Chang Y, Lafata K, Cui Y, Zhang J, et al.
Front Oncol
. 2020 Oct;
10:1592.
PMID: 33014811
Purpose: To develop a deep learning-based AI agent, DDD-PIOP (Dose-Distribution-Driven PET Image Outcome Prediction), for predicting FDG-PET image outcomes of oropharyngeal cancer (OPC) in response to intensity-modulated radiation therapy (IMRT)....
14.
Liu C, Hu S, Wang C, Lafata K, Yin F
Quant Imaging Med Surg
. 2020 Oct;
10(10):1917-1929.
PMID: 33014725
Background: To develop a high-efficiency pulmonary nodule computer-aided detection (CAD) method for localization and diameter estimation. Methods: The developed CAD method centralizes a novel convolutional neural network (CNN) algorithm, You...
15.
Chang Y, Lafata K, Segars W, Yin F, Ren L
Phys Med Biol
. 2020 Feb;
65(6):065009.
PMID: 32023555
Develop a machine learning-based method to generate multi-contrast anatomical textures in the 4D extended cardiac-torso (XCAT) phantom for more realistic imaging simulations. As a pilot study, we synthesize CT and...
16.
Chang Y, Lafata K, Sun W, Wang C, Chang Z, Kirkpatrick J, et al.
PLoS One
. 2019 Dec;
14(12):e0226348.
PMID: 31834910
Purpose: This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, and...
17.
Corradetti M, Torok J, Hatch A, Xanthopoulos E, Lafata K, Jacobs C, et al.
Adv Radiat Oncol
. 2019 Nov;
4(4):748-752.
PMID: 31673668
Purpose: Concurrent chemoradiation therapy (CRT) is the principal treatment modality for locally advanced lung cancer. Cell death due to CRT leads to the release of cell-free DNA (cfDNA) and circulating...
18.
Ackerson B, Tong B, Hong J, Gu L, Chino J, Trotter J, et al.
Lung Cancer
. 2018 Nov;
125:185-191.
PMID: 30429018
Purpose: To compare sublobar resection and stereotactic body radiation therapy (SBRT) in patients with stage I non-small cell lung cancer (NSCLC). Methods: Patients undergoing sublobar resection or SBRT for stage...
19.
Lafata K, Cai J, Wang C, Hong J, Kelsey C, Yin F
Phys Med Biol
. 2018 Oct;
63(22):225003.
PMID: 30272571
The purpose of this research was to study the sensitivity of Computed Tomography (CT) radiomic features to motion blurring and signal-to-noise ratios (SNR), and investigate its downstream effect regarding the...
20.
Stauder M, Macdonald O, Olivier K, Call J, Lafata K, Mayo C, et al.
Radiother Oncol
. 2011 May;
99(2):166-71.
PMID: 21571384
Background And Purpose: Identify the incidence of early pulmonary toxicity in a cohort of patients treated with lung stereotactic body radiation therapy (SBRT) on consecutive treatment days. Material And Methods:...