Doris Leithner
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Explore the profile of Doris Leithner including associated specialties, affiliations and a list of published articles.
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Recent Articles
11.
Leithner D, Flynn J, Devlin S, Mauguen A, Fei T, Zeng S, et al.
J Hematol Oncol
. 2024 Apr;
17(1):21.
PMID: 38649972
Relapse and toxicity limit the effectiveness of chimeric antigen receptor T-cell (CAR-T) therapy for large B-cell lymphoma (LBCL), yet biomarkers that predict outcomes and toxicity are lacking. We examined radiomic...
12.
Albano D, Mallardi C, Afat S, Agnollitto P, Caruso D, Cannella R, et al.
Insights Imaging
. 2024 Mar;
15(1):92.
PMID: 38530547
Objectives: To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). Methods: A...
13.
Leithner D, Sala E, Neri E, Schlemmer H, DAnastasi M, Weber M, et al.
Eur Radiol
. 2024 Jan;
34(8):5120-5130.
PMID: 38206405
Objectives: To assess radiologists' current use of, and opinions on, structured reporting (SR) in oncologic imaging, and to provide recommendations for a structured report template. Materials And Methods: An online...
14.
Haggstrom I, Leithner D, Alven J, Campanella G, Abusamra M, Zhang H, et al.
Lancet Digit Health
. 2023 Dec;
6(2):e114-e125.
PMID: 38135556
Background: The rising global cancer burden has led to an increasing demand for imaging tests such as [F]fluorodeoxyglucose ([F]FDG)-PET-CT. To aid imaging specialists in dealing with high scan volumes, we...
15.
Mayerhoefer M, Raderer M, Weber M, Lamm W, Kiesewetter B, Hacker M, et al.
Clin Nucl Med
. 2023 Jun;
48(7):557-562.
PMID: 37272977
Purpose: The aim of this study was to compare CXCR4 imaging with 68Ga-pentixafor PET to MRI for treatment response assessment in patients with mantle cell lymphoma (MCL). Patients And Methods:...
16.
Leithner D, Nevin R, Gibbs P, Weber M, Otazo R, Vargas H, et al.
Invest Radiol
. 2023 Mar;
58(9):697-701.
PMID: 36897814
Objectives: The aims of this study were to determine whether ComBat harmonization improves multiclass radiomics-based tissue classification in technically heterogeneous MRI data sets and to compare the performances of 2...
17.
Wengert G, Helbich T, Leithner D, Morris E, Baltzer P, Pinker K
Curr Breast Cancer Rep
. 2022 May;
11(1):23-33.
PMID: 35496471
Purpose Of Review: Breast density, or the amount of fibroglandular tissue in the breast, has become a recognized and independent marker for breast cancer risk. Public awareness of breast density...
18.
Leithner D, Schoder H, Haug A, Vargas H, Gibbs P, Haggstrom I, et al.
J Nucl Med
. 2022 Feb;
63(10):1611-1616.
PMID: 35210300
Our purpose was to determine whether ComBat harmonization improves F-FDG PET radiomics-based tissue classification in pooled PET/MRI and PET/CT datasets. Two hundred patients who had undergone F-FDG PET/MRI (2 scanners...
19.
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Hirsch L, Huang Y, Luo S, Rossi Saccarelli C, Gullo R, Daimiel Naranjo I, et al.
Radiol Artif Intell
. 2022 Feb;
4(1):e200231.
PMID: 35146431
Purpose: To develop a deep network architecture that would achieve fully automated radiologist-level segmentation of cancers at breast MRI. Materials And Methods: In this retrospective study, 38 229 examinations (composed...
20.
Lenga L, Bernatz S, Martin S, Booz C, Solbach C, Mulert-Ernst R, et al.
Cancers (Basel)
. 2021 Jun;
13(10).
PMID: 34069795
Dual-energy CT (DECT) iodine maps enable quantification of iodine concentrations as a marker for tissue vascularization. We investigated whether iodine map radiomic features derived from staging DECT enable prediction of...