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Kyle J Lafata

Explore the profile of Kyle J Lafata including associated specialties, affiliations and a list of published articles. Areas
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Articles 32
Citations 280
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Recent Articles
1.
Zhao J, Vaios E, Yang Z, Lu K, Floyd S, Yang D, et al.
Med Phys . 2025 Jan; PMID: 39878595
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical...
2.
Wang Y, Gupta A, Tushar F, Riley B, Wang A, Tailor T, et al.
Artif Intell Med . 2024 Dec; 160:103055. PMID: 39721356
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which integrates insights from subgroup analysis and personalized AI time-to-event models. Through its application in refining lung cancer screening...
3.
Li X, Heirman C, Rickard A, Sotolongo G, Castillo R, Adanlawo T, et al.
Front Immunol . 2024 Nov; 15:1451261. PMID: 39530103
Introduction: Immune dysregulation plays a major role in cancer progression. The quantification of lymphocytic spatial inflammation may enable spatial system biology, improve understanding of therapeutic resistance, and contribute to prognostic...
4.
Zhou J, Luo Y, Darcy J, Lafata K, Ruiz J, Grego S
Neurogastroenterol Motil . 2024 Nov; 37(1):e14954. PMID: 39486001
Background: Patients' report of bowel movement consistency is unreliable. We demonstrate the feasibility of long-term automated stool image data collection using a novel Smart Toilet and evaluate a deterministic computer-vision...
5.
Zhou J, Li X, Demeke D, Dinh T, Yang Y, Janowczyk A, et al.
J Med Imaging (Bellingham) . 2024 Oct; 11(5):057501. PMID: 39398866
Purpose: Our purpose is to develop a computer vision approach to quantify intra-arterial thickness on digital pathology images of kidney biopsies as a computational biomarker of arteriosclerosis. Approach: The severity...
6.
Tushar F, Vancoillie L, McCabe C, Kavuri A, Dahal L, Harrawood B, et al.
ArXiv . 2024 May; PMID: 38699170
Importance: Clinical imaging trials are crucial for evaluation of medical innovations, but the process is inefficient, expensive, and ethically-constrained. Virtual imaging trial (VIT) approach addresses these limitations by emulating the...
7.
Zhao J, Vaios E, Wang Y, Yang Z, Cui Y, Reitman Z, et al.
Int J Radiat Oncol Biol Phys . 2024 Apr; 120(2):603-613. PMID: 38615888
Purpose: To develop a novel deep ensemble learning model for accurate prediction of brain metastasis (BM) local control outcomes after stereotactic radiosurgery (SRS). Methods And Materials: A total of 114...
8.
Riley B, Stevens J, Li X, Yang Z, Wang C, Mowery Y, et al.
J Med Imaging (Bellingham) . 2024 Mar; 11(2):024007. PMID: 38549835
Purpose: We aim to interrogate the role of positron emission tomography (PET) image discretization parameters on the prognostic value of radiomic features in patients with oropharyngeal cancer. Approach: A prospective...
9.
Stevens J, Riley B, Je J, Gao Y, Wang C, Mowery Y, et al.
Med Phys . 2024 Jan; 51(5):3334-3347. PMID: 38190505
Background: Delta radiomics is a high-throughput computational technique used to describe quantitative changes in serial, time-series imaging by considering the relative change in radiomic features of images extracted at two...
10.
Lafata K, Read C, Tong B, Akinyemiju T, Wang C, Cerullo M, et al.
J Am Coll Radiol . 2023 Nov; 21(5):767-777. PMID: 37952807
Purpose: The aims of this study were to evaluate (1) frequency, type, and lung cancer stage in a clinical lung cancer screening (LCS) population and (2) the association between patient...