[HTML][HTML] Pulmonary hypertension in association with lung disease: quantitative CT and artificial intelligence to the rescue? State-of-the-Art Review

K Dwivedi, M Sharkey, R Condliffe, JM Uthoff, S Alabed… - Diagnostics, 2021 - mdpi.com
Accurate phenotyping of patients with pulmonary hypertension (PH) is an integral part of
informing disease classification, treatment, and prognosis. The impact of lung disease on PH …

Severe pulmonary hypertension associated with lung disease is characterised by a loss of small pulmonary vessels on quantitative computed tomography

…, AMK Rothman, J Tschirren, JM Uthoff… - ERJ open …, 2022 - Eur Respiratory Soc
Background Pulmonary hypertension (PH) in patients with chronic lung disease (CLD) predicts
reduced functional status, clinical worsening and increased mortality, with patients with …

[HTML][HTML] Computed tomography features of lung structure have utility for differentiating malignant and benign pulmonary nodules

JM Uthoff, SL Mott, J Larson… - … Diseases: Journal of …, 2022 - ncbi.nlm.nih.gov
Background: Chronic obstructive pulmonary disease (COPD) is a known comorbidity for lung
cancer independent of smoking history. Quantitative computed tomography (qCT) imaging …

Imaging Feature Reduction And Optimization: Refinement Of A Lung Nodule Computer Aided Diagnosis Tool

JM Uthoff, SKN Dilger, JC Sieren - C80-C. IMAGING …, 2017 - atsjournals.org
Feature selection is an important aspect of computer-aided classification system design. We
have developed an in-house computer-aided diagnosis (CAD) tool for computed …

[HTML][HTML] Longitudinal phenotype development in a minipig model of neurofibromatosis type 1

J Uthoff, J Larson, TS Sato, E Hammond… - Scientific reports, 2020 - nature.com
Neurofibromatosis type 1 (NF1) is a rare, autosomal dominant disease with variable clinical
presentations. Large animal models are useful to help dissect molecular mechanisms, …

Cancer risk assessment using quantitative imaging features from solid tumors and surrounding structures

JM Uthoff - 2019 - search.proquest.com
Medical imaging is a powerful tool for clinical practice allowing in-vivo insight into a patient’s
disease state. Many modalities exist, allowing for the collection of diverse information about …

Clustering the Risk: Quantitative Imaging Features of Chronic Obstructive Pulmonary Disease Associated with Lung Cancer

JM Uthoff, S Bell, B Smith, JC Sieren - C69. LUNG CANCER, 2019 - atsjournals.org
Rationale: Chronic obstructive pulmonary disease (COPD) is a known risk factor for lung
cancer irrespective of smoking history. Previous studies have linked whole-lung imaging …

C80-C IMAGING METHODOLOGY AND APPLICATION TO LUNG DISEASE: Imaging Feature Reduction And Optimization: Refinement Of A Lung Nodule Computer …

JM Uthoff, SKN Dilger… - American Journal of …, 2017 - search.proquest.com
To determine the optimal number of clusters, k, an iterative testing procedure is performed
for all valid k-values (k=[2,# features (304)]), optimizing over the average cluster silhouette …

Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT

J Uthoff, MJ Stephens, JD Newell Jr… - Medical …, 2019 - Wiley Online Library
Purpose Computed tomography (CT) is an effective method for detecting and characterizing
lung nodules in vivo. With the growing use of chest CT, the detection frequency of lung …

Post-imaging pulmonary nodule mathematical prediction models: are they clinically relevant?

J Uthoff, N Koehn, J Larson, SKN Dilger… - European …, 2019 - Springer
Objectives Post-imaging mathematical prediction models (MPMs) provide guidance for the
management of solid pulmonary nodules by providing a lung cancer risk score from …