Dokument: Spectral Diffusion Analysis in Patients With High Risk for Prostate Cancer: A Feasibility Study
| Titel: | Spectral Diffusion Analysis in Patients With High Risk for Prostate Cancer: A Feasibility Study | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=73135 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20260430-124751-9 | |||||||
| Kollektion: | Publikationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Texte » Artikel, Aufsatz | |||||||
| Medientyp: | Text | |||||||
| Autoren: | Thiel, Thomas A. [Autor] Valentin, Birte [Autor] Ullrich, Tim [Autor] Boschheidgen, Matthias [Autor] Schimmöller, Lars [Autor] Al-Monajjed, Rouvier [Autor] Ljimani, Alexandra [Autor] Antoch, Gerald [Autor] Jasse, Jonas [Autor] Bechler, Eric [Autor] | |||||||
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| Beschreibung: | To reduce the incidence of overdiagnosis and enhance tumor grading of multi-parametric-MRI of the prostate, diffusion-weighted imaging (DWI) has established itself as a dependable functional method for obtaining detailed information about the prostate's microstructure.1, 2 As advanced diffusion techniques evolve from the classic apparent diffusion coefficient to multi-exponential models,3 these techniques have also gained more attention.4 One of those innovative development is the model-free non-negative least-squares (NNLS) method.5 In a preliminary study, NNLS was successfully applied to kidney imaging, resulting in three diffusion components.
This study is a feasibility study examining the applicability of the NNLS method to the prostate as well as to differentiate between healthy and pathological tissue. Methods Study Population The local ethics committee granted approval for the study, and all patients gave written consent to participate in the study. The patients received the in-house standard MRI protocol according to PI-RADS v2.1.6 Patients were enrolled solely if exhibiting a PI-RADS 5 finding according to T2-weighted imaging and DWI, indicating a high probability for presence of clinically significant cancer. In case of a PI-RADS 5 finding an additional DWI measurement was performed prior to the application of the contrast agent. All measurement parameters can be found in Supplement 1 in the Supplemental Material. Model and Fitting For analysis of the diffusion signals, we used the NNLS method with regularization to unravel the underlying diffusion components. Further information on diffusion modeling can be found in Supplement 2 in the Supplemental Material. A total of 250 diffusion components was deployed and regularized by a weighting factor μ of 0.2. Data Analysis For the peripheral zone (PZ), the transition zone (TZ) as well as the PI-RADS 5 lesion (PCA tissue) reliable regions of interest (ROI) on 3D images were applied. Hereafter mean diffusion decay signals were calculated in Python (v3.11.0, Python Software Foundation, Wilmington, DE, USA) for each ROI to enhance SNR and thereby stabilize NNLS analysis.7 NNLS analysis was performed sequentially using an in-house developed software. More information can be found in Supplement 3 in the Supplemental Material. Results Subjects In total, the advanced DWI measurement was performed additively in 14 patients (57–82 years) and all data sets were of high quality. Examples of ROI placement in five different patients are shown in Fig. 1a accompanied by mean diffusion signals (b) and corresponding NNLS calculated spectra for both PZ and PCA tissue (c). For all subjects, PCA tissue exhibited lower initial signal intensities than healthy tissue and ultimately displays higher signal intensities for high b-values. This is also reflected in individual spectra, which exhibit increased peak height for low D values compared to the healthy tissue for all patients. | |||||||
| Rechtliche Vermerke: | Originalveröffentlichung:
Thiel, T., Valentin, B., Ullrich, T., Boschheidgen, M., Schimmöller, L., Benkert, T., Al-Monajjed, R., Ljimani, A., Antoch, G., Jasse, J., Bechler, E., & Wittsack, H.-J. (2024). Spectral Diffusion Analysis in Patients With High Risk for Prostate Cancer: A Feasibility Study. Journal of Magnetic Resonance Imaging, 61(1), 512–515. https://doi.org/10.1002/jmri.29354 | |||||||
| Lizenz: |  Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Medizinische Fakultät | |||||||
| Dokument erstellt am: | 30.04.2026 | |||||||
| Dateien geändert am: | 30.04.2026 |
