Siemens biography mmr locations of lymphocytes
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Robustness of apparent diffusion coefficient–based lymph node classification for diagnosis of prostate cancer metastasis
Introduction
Prostate cancer is the second most common cancer in dock [1]. After local therapy, biochemical recurrence develops in about one-third of patients. The value of imaging in the setting of biochemical recurrence has been limited [2], mainly due to the poor performance of conventional imaging to detect lymph node metastases, which often are the only site of recurrence [3]. Compared to conventional cross-sectional imaging, PET targeting the prostate-specific membrane antigen (PSMA) demonstrates superior sensitivity for lymph node metastases [4,5,6]. The clinical value of improved imaging-based lymph node classification was demonstrated in a recent study showing increased event-free survival when PSMA-PET information on nodal metastases was accounted for in salvage radiation field planning [7].
Although PSMA-PET demonstrates high diagnostic accuracy in
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In vivo imaging of CD8+ T cells in metastatic cancer patients: first clinical experience with simultaneous [89Zr]Zr-Df-IAB22M2C PET/MRI
Theranostics ; 13(8) doi/thno This issueCite
Research Paper
Johannes Schwenck1,2,3, Dominik Sonanini2,4, Dominik Seyfried2, Walter Ehrlichmann2, Gabriele Kienzle2, Gerald Reischl2,3, Pascal Krezer2, Ian Wilson5, Ron Korn5, Irene Gonzalez-Menendez3,6, Leticia Quintanilla-Martinez3,6, Ferdinand Seith7, Andrea Forschner8, Thomas Eigentler8,9, Lars Zender3,4,10, Martin Rcken3,8,10, Bernd J Pichler2,3,10, Lukas Flatz8, Manfred Kneilling2,3,8*, Christian la Fougere1,3,10*
1. Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University, Tbingen, Germany.
2. Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University, Tbingen, Germany.
3. Cluster of Excellence iFIT (EXC ) "Image-Guided and Functionally Instruct
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Associations between dynamic-contrast enhanced MRI and tumor infiltrating lymphocytes and tumor-stroma ratio in head and neck squamous cell cancer
- Research article
- Open access
- Published:
Cancer Imagingvolume 21, Article number: 60 () Cite this article
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Abstract
Objectives
The present study used dynamic-contrast enhanced MRI (DCE-MRI) to elucidate possible associations with tumor-infiltrating lymphocytes (TIL), stroma ratio and vimentin expression in head and neck squamous cell cancer (HNSCC).
Methods
Overall, 26 patients with primary HNSCC of different localizations were involved in the study. DCE-MRI was obtained on a 3 T MRI and analyzed with a whole lesion measurement using a histogram approach. TIL- and vimentin-expression was calculated on bioptic samples before any form of treatment. P16 staining was used to define HPV-status.
Results
Tumor-stroma ratio correlated with entropy derived from Ktrans (r =