Ronald A Karwoski
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Explore the profile of Ronald A Karwoski including associated specialties, affiliations and a list of published articles.
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29
Citations
513
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Recent Articles
1.
Chan H, Weatherley N, Biancardi A, Johns C, Tahir B, Karwoski R, et al.
Diagnostics (Basel)
. 2023 Dec;
13(23).
PMID: 38066737
The patterns of idiopathic pulmonary fibrosis (IPF) lung disease that directly correspond to elevated hyperpolarised gas diffusion-weighted (DW) MRI metrics are currently unknown. This study aims to develop a spatial...
2.
Koo C, Williams J, Liu G, Panda A, Patel P, Frota Lima L, et al.
Eur Radiol
. 2022 Jun;
32(12):8152-8161.
PMID: 35678861
Objectives: To evaluate quantitative computed tomography (QCT) features and QCT feature-based machine learning (ML) models in classifying interstitial lung diseases (ILDs). To compare QCT-ML and deep learning (DL) models' performance....
3.
Romei C, Castellana R, Conti B, Bemi P, Taliani A, Pistelli F, et al.
Eur Respir J
. 2022 May;
60(4).
PMID: 35604814
Purpose: To investigate the correlations between densitometric and Computer Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER)-derived indices of pulmonary emphysema and their change in the short-term period for...
4.
Romei C, Falaschi Z, Danna P, Airoldi C, Tonerini M, Rocchi E, et al.
Eur Radiol
. 2022 Jan;
32(6):4314-4323.
PMID: 35028751
Introduction: Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) software has already been widely used in the evaluation of interstitial lung diseases (ILD) but has not yet been tested...
5.
Correction to: Vessel-related structures predict UIP pathology in those with a non-IPF pattern on CT
Chung J, Adegunsoye A, Oldham J, Vij R, Husain A, Montner S, et al.
Eur Radiol
. 2021 May;
31(11):8825.
PMID: 33974150
No abstract available.
6.
Chung J, Adegunsoye A, Oldham J, Vij R, Husain A, Montner S, et al.
Eur Radiol
. 2021 Apr;
31(10):7295-7302.
PMID: 33847810
Objectives: To determine if a quantitative imaging variable (vessel-related structures [VRS]) could identify subjects with a non-IPF diagnosis CT pattern who were highly likely to have UIP histologically. Methods: Subjects...
7.
Maldonado F, Varghese C, Rajagopalan S, Duan F, Balar A, Lakhani D, et al.
Eur Respir J
. 2020 Dec;
57(4).
PMID: 33303552
Introduction: Implementation of low-dose chest computed tomography (CT) lung cancer screening and the ever-increasing use of cross-sectional imaging are resulting in the identification of many screen- and incidentally detected indeterminate...
8.
Crews M, Bartholmai B, Adegunsoye A, Oldham J, Montner S, Karwoski R, et al.
J Clin Med
. 2020 Nov;
9(11).
PMID: 33238466
This study aimed to determine diagnostic and prognostic differences in major forms of interstitial lung disease using quantitative CT imaging. A retrospective study of 225 subjects with a multidisciplinary diagnosis...
9.
Khawaja A, Bartholmai B, Rajagopalan S, Karwoski R, Varghese C, Maldonado F, et al.
J Thorac Dis
. 2020 Jul;
12(6):3303-3316.
PMID: 32642254
Despite multiple recent advances, the diagnosis and management of lung cancer remain challenging and it continues to be the deadliest malignancy. In 2011, the National Lung Screening Trial (NLST) reported...
10.
Chen A, Karwoski R, Gierada D, Bartholmai B, Koo C
Radiographics
. 2019 Nov;
40(1):28-43.
PMID: 31782933
Quantitative analysis of thin-section CT of the chest has a growing role in the clinical evaluation and management of diffuse lung diseases. This heterogeneous group includes diseases with markedly different...