Neurexin-3α-associated autoimmune encephalitis with intracranial diffuse large B lymphoma diagnosed on FDG and TSPO PET/MRI DOI
Chenpeng Zhang, Yong Hao, Hongda Shao

и другие.

European Journal of Nuclear Medicine and Molecular Imaging, Год журнала: 2022, Номер 50(4), С. 1270 - 1272

Опубликована: Дек. 6, 2022

Язык: Английский

Advances in liquid biopsy and virtual biopsy for care of patients with glioma: a narrative review DOI
Muhammad Awais, Abdul Rehman,

Syed Sarmad Bukhari

и другие.

Expert Review of Anticancer Therapy, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Апрель 5, 2025

The World Health Organization's 2021 classification of central nervous system neoplasms incorporated molecular and genetic features for classifying gliomas. Classification gliomas located in deep-seated structures became a clinical conundrum given the absence crucial pathological data. Advances noninvasive imaging modalities offered virtual biopsy as novel solution to this problem by identifying surrogate radiomic signatures. Liquid biopsies blood or cerebrospinal fluid provided another enormous opportunity genomic, metabolomic proteomic We summarize appraise current state evidence with regards liquid care patients PubMed, Embase Google Scholar were searched on 7/30/2024 relevant articles published after year 2013 English language. A large body preclinical preliminary suggests that is possible combined use multiple conjunction machine learning radiomics. Likewise, focused ultrasound may be valuable tool obtain genomic data regarding glioma minimally invasive manner. These will likely become an integral part future.

Язык: Английский

Процитировано

0

Multi-Targeted Neutron Capture Therapy Combined with an 18 kDa Translocator Protein-Targeted Boron Compound Is an Effective Strategy in a Rat Brain Tumor Model DOI Open Access
Hideki Kashiwagi, Yoshihide Hattori, Shinji Kawabata

и другие.

Cancers, Год журнала: 2023, Номер 15(4), С. 1034 - 1034

Опубликована: Фев. 6, 2023

Boron neutron capture therapy (BNCT) has been adapted to high-grade gliomas (HG); however, some are refractory BNCT using boronophenylalanine (BPA). In this study, the feasibility of targeting 18 kDa translocator protein (TSPO) expressed in glioblastoma and surrounding environmental cells was investigated.Three rat glioma cell lines, an F98 bearing brain tumor model, DPA-BSTPG which is a boron-10 compound TSPO, BPA, sodium borocaptate (BSH) were used. TSPO expression evaluated model. uptake assessed three lines vitro vivo irradiation experiments performed.DPA-BSTPG efficiently taken up vitro. The 16-fold higher expressions than its tissue. biological effectiveness value 8.43 cells. boron concentration convection-enhanced delivery (CED) administration approximately twice as high BPA intravenous administration. significant efficacy over untreated group. combination gained significantly longer survival times alone.DPA-BSTPG with may provide multi-targeted against HG.

Язык: Английский

Процитировано

7

18 kDa translocator protein positron emission tomography facilitates early and robust tumor detection in the immunocompetent SB28 glioblastoma mouse model DOI Creative Commons
Laura M. Bartos, Sabrina V. Kirchleitner, Jens Blobner

и другие.

Frontiers in Medicine, Год журнала: 2022, Номер 9

Опубликована: Окт. 17, 2022

Introduction The 18 kDa translocator protein (TSPO) receives growing interest as a biomarker in glioblastoma. Mouse models can serve an important tool for the investigation of biomarkers glioblastoma, but several glioblastoma indicated only low TSPO-PET signals contrast to high human Thus, we aimed investigate imaging syngeneic immunocompetent SB28 mouse model, which is thought closely represent tumor microenvironment (TME) Methods Dynamic TSPO-PET/CT was performed 60 min after injection 13.6 ± 4.2 MBq [ F]GE-180. Contrast enhanced CT (ceCT) acquired prior PET and served assessment volumes attenuation correction. sham mice were imaged at early (week-1; n = 6 SB28, sham) late time-point (week-3; 8 9 inoculation. Standard truth ex vivo obtained time-point. Tracer kinetics analyzed lesion site carotid arteries establish image derived input function (IDIF). ceCT compared with by calculation root-mean-square-errors (RMSE). Volumes distribution (VTmax/mean) calculated using IDIF standardized uptake values (SUVmax/mean) 40–60 time frame. Results Higher rate constants (K1) observed week-1 lesions when week-3 lesions. Highest agreement between achieved 50% maximum threshold (RMSE-VT: 39.7%; RMSE-SUV: 34.4%), similar (RMSE: 30.1%). Lesions had higher signal (VTmax 6.6 2.9 vs. 3.9 0.8, p 0.035; SUVmax 2.3 0.5 1.2 0.1, < 0.001) remained level 5.0 1.6 2.7 0.029; 1.9 0.2, 0.0012). VTmax correlated ( R 2 0.532, 0.001). Conclusion facilitates detection over tumors mirror could valuable translational model study TSPO biomarker.

Язык: Английский

Процитировано

7

Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients DOI Creative Commons
Artem Zatcepin, Anna Kopczak, Adrien Holzgreve

и другие.

Zeitschrift für Medizinische Physik, Год журнала: 2023, Номер 34(2), С. 218 - 230

Опубликована: Янв. 20, 2023

Neuroinflammation evaluation after acute ischemic stroke is a promising option for selecting an appropriate post-stroke treatment strategy. To assess neuroinflammation in vivo, translocator protein PET (TSPO PET) can be used. However, the gold standard TSPO quantification method includes 90 min scan and continuous arterial blood sampling, which challenging to perform on routine basis. In this work, we determine what information required simplified approach using machine learning algorithm. We analyzed data from 18 patients with who received 0–90 [18F]GE-180 as well T1-weigted (T1w), FLAIR, spin labeling (ASL) MRI scans. During scans, five manual venous samples at 5, 15, 30, 60, 85 post injection (p.i.) were drawn, plasma activity concentration was measured. Total distribution volume (VT) calculated Logan plot full dynamic image-derived input function (IDIF) carotid arteries. IDIF scaled by calibration factor derived all measured concentrations. The VT values used training random forest regressor. As features model, three late frames (60–70, 70–80, 80–90 p.i.), ASL image reflecting perfusion, voxel coordinates, lesion mask, algorithm validated leave-one-out approach. estimate impact of individual algorithm's performance, Shapley Additive Explanations (SHAP). Having determined that concentrations most important features, tested consisting dividing frame concentration. All combinations frames/samples compared means concordance correlation coefficient Bland-Altman plots. When predicted high accuracy (87.8 ± 8.3%) both non-lesion voxels. SHAP demonstrated p.i.) prediction, while influence ASL-derived mask low. Among concentrations, 70–80 p.i. divided 30 sample produced closest lesion. Reliable achievable single

Язык: Английский

Процитировано

4

Deciphering sources of PET signals in the tumor microenvironment of glioblastoma at cellular resolution DOI Creative Commons
Laura M. Bartos, Sabrina V. Kirchleitner, Zeynep Ilgin Kolabas

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Янв. 27, 2023

Abstract Various cellular sources hamper interpretation of positron-emission-tomography (PET) biomarkers in the tumor microenvironment (TME). We developed immunomagnetic cell sorting after vivo radiotracer injection (scRadiotracing) combination with 3D-histology via tissue clearing to dissect allocation PET signals TME. In SB28 glioblastoma mice, translocator protein (TSPO) uptake per was higher compared tumor-associated microglia/macrophages (TAMs). Cellular validated by proteomics and confirmed for vitro samples patients glioblastoma. Regional agreement between single tracer predicted individual distribution 3D-histology. consideration type abundance, cells were main contributor TSPO enrichment glioblastoma, however identified potential targets highly specific TAMs. Combining measures facilitates precise complex signal will serve validate novel TAM-specific radioligands.

Язык: Английский

Процитировано

2

[18F]SF51, a novel 18F-labeled PET radioligand for translocator protein 18kDa (TSPO) in brain, works well in monkeys but fails in humans DOI
Xuefeng Yan, Fabrice G. Siméon,

Jeih-San Liow

и другие.

Journal of Cerebral Blood Flow & Metabolism, Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

[

Процитировано

0

Neurexin-3α-associated autoimmune encephalitis with intracranial diffuse large B lymphoma diagnosed on FDG and TSPO PET/MRI DOI
Chenpeng Zhang, Yong Hao, Hongda Shao

и другие.

European Journal of Nuclear Medicine and Molecular Imaging, Год журнала: 2022, Номер 50(4), С. 1270 - 1272

Опубликована: Дек. 6, 2022

Язык: Английский

Процитировано

1