2025-11-06 14:38 |
Detailed record - Similar records
|
2025-11-06 14:37 |
Detailed record - Similar records
|
2025-11-06 14:35 |
Detailed record - Similar records
|
2025-11-06 14:34 |
Detailed record - Similar records
|
2025-11-06 14:31 |
Detailed record - Similar records
|
2025-11-06 14:28 |
[DKFZ-2025-02283]
Journal Article
Woo, S. ; Russo, L. ; Withey, S. J. ; et al
ESUR: Opportunities for PSMA-PET/CT and whole-body MRI in advanced prostate cancer.
Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) computed tomography (CT), and whole-body magnetic resonance imaging (WB-MRI) are superior to conventional CT and bone scan imaging for detecting metastatic disease in patients with prostate cancer. While these higher-accuracy imaging methods have already shown the potential to enhance patient outcomes, a thorough understanding of the relationship between the treatment landscape and disease volume on conventional imaging, as well as the prognostic significance of the prostate-specific antigen response, is crucial for determining how they can be more effectively incorporated. [...]
Detailed record - Similar records
|
2025-11-06 09:14 |
[DKFZ-2025-02282]
Journal Article
Lisson, C. G. ; Götz, M. ; Wolf, D. ; et al
Non-Hodgkin's lymphoma classification using 3D radiomics machine learning models for precision imaging in oncology.
To apply quantitative imaging analysis for noninvasive classification of the most frequent subtypes of Non-Hodgkin Lymphoma (NHL) as a basis for a clinical imaging genomic model to support therapeutic monitoring and clinical decision making.In this single-center study, 201 treatment-naïve patients with biopsy-proven NHL (50 diffuse large B-cell lymphoma [DLBCL], 51 mantle cell lymphoma [MCL], 49 follicular lymphoma [FL], and 51 chronic lymphocytic leukemia [CLL]) and 39 treatment-naïve non-small cell lung cancer patients with positron emission tomography (PET)/computed tomography (CT)-confirmed healthy axillary lymph nodes (LNs) were retrospectively analyzed. Three-dimensional (3D) segmentation and radiomic analysis of pathologically enlarged nodes (n = 1,628) were performed on contrast-enhanced CT scans, including healthy LNs as references. [...]
Detailed record - Similar records
|
2025-11-06 09:09 |
Detailed record - Similar records
|
2025-11-05 16:22 |
[DKFZ-2025-02280]
Journal Article
Xiao, F. ; Radonic, D. ; Wahl, N. ; et al
Deep learning-based synthetic-CT-free photon dose calculation in MR-guided radiotherapy: A proof-of-concept study.
In magnetic resonance imaging (MRI)-guided online adaptive radiotherapy, MRI lacks tissue attenuation information necessary for accurate dose calculations. Although deep learning (DL)-based synthetic computed tomography (CT) generation models have been developed to obtain CT density information from MRI, they usually do not meet the requirement of real-time plan adaptation.We propose a DL-based photon dose calculation method directly on 0.35 T MRI to skip synthetic CT generation and show its feasibility for prostate patient cases.The 0.35 T planning MRI and deformed planning CT (registered to the planning MRI) of 34 prostate cancer patients treated with a 0.35 T magnetic resonance-linear accelerator (MR-Linac) were collected. [...]
Detailed record - Similar records
|
2025-11-05 16:21 |
Detailed record - Similar records
|
|
|