Sibylle Ziegler

Investigation of iterative deconvolution in 177Lu-SPECT imaging for lesion dosimetry

Zachary Ells, Grigory Liubchenko, Mikhail Rumiantcev, Maximilian Scheifele et autres

Abstract Aim/introduction Quantitative 177 Lu-SPECT allows for patient specific dosimetry, but due to the limited spatial resolution absorbed doses (AD) can be underestimated. Implementation of the Lucy-Richardson deconvolution (LRD) algorithm for spill-over correction in PET has been investigated. Therefore, the aim of …

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Blood-Brain Barrier Penetrating Copper-64 TREM2 Antibody Enables Targeted PET Imaging of Tumor-Associated Immune Cells in Glioblastoma Mouse Models

M. Haertel, Rebecca Schaefer, Lea H. Kunze, Ha Eun Park et autres

de, us (code pays fourni par la source)

TGF-β1-based restoration of sodium iodide symporter expression in radioiodine-refractory differentiated thyroid cancer via engineered MSCs

Han Yang, Viktoria Florentine Koehler, James Nagarajah, Kathrin A. Schmohl et autres

The sodium iodide symporter (NIS) mediates iodine uptake into thyroid follicular cells providing the basis for radioiodine imaging and therapy of differentiated thyroid cancer. Loss of functional NIS expression leads to radioiodine-refractory disease. Restoration of radioiodine uptake via NIS delivery into tumors …

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[18F]FDG-PET/CT Imaging for Response Characterisation of Experimental Melanomas to Anti-PD-L1/Anti-CTLA-4 Immunotherapy

Melissa Antons, Sandra Kloiber-Langhorst, Heidrun Hirner-Eppeneder, Rebecca Schaefer et autres

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Comparison of scatter and partial volume correction techniques for quantitative SPECT imaging of 225Ac

Grigory Liubchenko, Guido Böning, Mikhail Rumiantcev, Adrian Zounek et autres

Abstract Background The extreme low-count regime for clinical 225Ac-SPECT imaging poses a challenge to energy-window based scatter correction (EWSC) methods. Moreover, SPECT imaging suffers from partial volume effects (PVE), which can degrade quantification and lead to an underestimation of the absorbed dose …

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Distinct reduction in relative microglial glucose uptake compared to astrocytes and neurons upon isolation from the brain environment

Sebastian T. Kunte, Johannes Gnörich, Philipp Beumers, Laura M. Bartos et autres

Introduction Microglial energy metabolism has gained attention for the treatment of neurodegenerative diseases. In vitro methods provide important insights; however, it remains unclear whether the metabolism of highly motile microglia is preserved outside their regular environment. Therefore, we directly compared the microglial …

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Characterization of Left Ventricular Assist Device–Specific Infection by Whole-Body Parametric PET Imaging

Thorsten Derlin, Jasmin S. Hanke, Rudolf A. Werner, Sibylle Ziegler et autres

Clinical molecular imaging with PET has an evolving role in the diagnosis and treatment of left ventricular assist device (LVAD)–specific infection. We analyzed the added value of parametric whole-body [18F]FDG PET images for the multifaceted assessment of local inflammatory response to infection …

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Feasibility of Automated Image-Based Red Bone Marrow Dosimetry for [177Lu]Lu-PSMA Radiopharmaceutical Therapy of Metastatic Castration-Resistant Prostate Cancer

Mikhail Rumiantcev, Sandra Resch, Grigory Liubchenko, Gabriel T. Sheikh et autres

Background/Objectives: Red bone marrow irradiation is a major concern for patients with advanced prostate cancer undergoing [177Lu]Lu-PSMA therapy. However, low uptake in the red bone marrow and the presence of bone lesions complicate image-based red bone marrow dosimetry. This study aimed to …

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3D printing of radioactive wall-less PET phantoms improves threshold-based target delineation and quantification

Adrian Zounek, Nico Maximilian Joerg, Felix Lindheimer, Artem Zatcepin et autres

BACKGROUND: Validation of threshold-based PET segmentation and PET quantification is typically performed with fillable phantoms. Theoretical considerations show that the inactive walls of the phantom cavities introduce a contrast dependence of the volume-reproducing threshold (VRT), potentially leading to segmentation errors and therefore …

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Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning

Carlos Vinícius Gomes, Yizhou Chen, Isabel Rauscher, Song Xue et autres

Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practice in radiopharmaceutical therapy (RPT) compared with conventional multiple-time-point image-based dosimetry. Despite numerous advancements, current STP methods are limited by the need for strict and late timing in data acquisition, posing …

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Pre-training with PBPK-based Digital Twin Enhances Deep Learning for Predictive Dosimetry

M Kassar, Yubin Chen, Jicun Hu, Joon Hyun Hong et autres

Ziel/Aim: Targeted radiopharmaceutical therapy (RPT) is has emerged as an effective treatment for mCRPC. However, prediction accuracy in dosimetry remains limited due to the scarcity of available data, as dosimetry data is challenging to obtain. This study introduces a PBPK-pretrained AI model …

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Image-Based Red Marrow Dosimetry in Patients Undergoing [177Lu]Lu-PSMA Radiopharmaceutical Therapy

Mikhail Rumiantcev, Sandra Resch, Xu Shen, Grigory Liubchenko et autres

Ziel/Aim: Red marrow irradiation is a major concern for patients with mCRPC undergoing [ 177 Lu]Lu-PSMA therapy and monitoring the red marrow absorbed dose is recommended to minimise side effects. The aim of this study was to develop an automated workflow for …

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