Abstract No. 194: Treatment modification of Y90 selective internal radionuclide therapy based on quantitative PET/CT imaging

2012 ◽  
Vol 23 (3) ◽  
pp. S80
Author(s):  
T. Chang ◽  
R. Owen ◽  
J.M. McKinney ◽  
A. Pasciak ◽  
A. Balius
Keyword(s):  
Radionuclide Therapy ◽  
Ct Imaging ◽  
Treatment Modification ◽  
Quantitative Pet ◽  
Pet Ct

scholarly journals 18F-FDG-PET/CT Imaging in Advanced Glottic Cancer: A Tool for Clinical Decision in Comparison with Conventional Imaging

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
G. Paone ◽  
F. Martucci ◽  
V. Espeli ◽  
L. Ceriani ◽  
G. Treglia ◽  
...  
Keyword(s):  
Fdg Pet ◽  
False Negative ◽  
Ct Imaging ◽  
Radiotherapy Planning ◽  
Glottic Cancer ◽  
Conventional Imaging ◽  
Prognostic Information ◽  
Quantitative Pet ◽  
Pet Ct ◽  
Fdg Pet Ct

This study assessed the role of 18F-FDG PET-CT (PET/CT) to detect the cartilage and paraglottic infiltration in advanced glottic cancer comparing the results with those of conventional imaging (CI) (contrast-enhanced computed tomography and/or magnetic resonance). In addition, we assessed the prognostic value of quantitative parameters, measured on baseline PET/CT, in terms of event-free survival (EFS) and overall survival (OS). We retrospectively analyzed 27 patients with glottic squamous cell carcinoma stage III and IVA, treated in our institute between 2010 and 2016, comparing PET/CT, performed for staging and radiotherapy planning, and CI findings. Cohen’s K was used to compare concordance between PET/CT and CI. Imaging findings were correlated with endoscopic evaluation and histological reports (gold standard (GS)). All lesions shown by CI were also detected by PET/CT imaging, and in 5 cases, a better definition of local infiltration was achieved with PET/CT than CI (5 CT). Sensitivity, specificity, and accuracy of PET/CT and CT were 95%, 86%, and 93% and 70%, 86%, and 74% for, respectively. MRI showed sensitivity and specificity of 100%. One false-negative (FN) cases and 1 false-positive (FP) case were observed with PET/CT with no difference compared to MRI (10 cases). Six FN cases and 1 FP case were observed with CT. Cohen’s K was 0.60 (PET vs. CI) and 0.80 (PET vs. GS). Patients were followed-up for at least 24 months to calculate EFS and OS. 13 local recurrence and 7 deaths were recorded. Among quantitative PET parameters, baseline MTV was the most powerful predictor of outcome. Our data suggest a reliable sensitivity and accuracy of PET/CT in the evaluation of local extension, proving a useful method for initial local staging in addition to the well-established role in lymph-node and distant sites assessment. Furthermore, pretreatment MTV provides better prognostic information than other PET/CT parameters.

Transconvolution and the virtual positron emission tomograph-A new method for cross calibration in quantitative PET/CT imaging

2013 ◽  
Vol 40 (6Part1) ◽  
pp. 062503 ◽  
Author(s):  
George A. Prenosil ◽  
Thilo Weitzel ◽  
Michael Hentschel ◽  
Bernd Klaeser ◽  
Thomas Krause
Keyword(s):  
Ct Imaging ◽  
New Method ◽  
Positron Emission Tomograph ◽  
Quantitative Pet ◽  
Positron Emission ◽  
Pet Ct ◽  
Cross Calibration

scholarly journals Can the Standardized Uptake Values derived from Diagnostic 68Ga-DOTATATE PET/CT Imaging Predict the Radiation Dose delivered to the Metastatic Liver NET Lesions on 177Lu-DOTATATE Peptide Receptor Radionuclide Therapy?

2013 ◽  
Vol 47 (1) ◽  
pp. 7-13 ◽  
Author(s):  
Baljinder Singh ◽  
Vikas Prasad ◽  
Christiane Schuchardt ◽  
Harshad Kulkarni ◽  
Richard P Baum
Keyword(s):  
Radiation Dose ◽  
Radionuclide Therapy ◽  
Peptide Receptor Radionuclide Therapy ◽  
Ct Imaging ◽  
Neuroendocrine Neoplasms ◽  
Liver Lesions ◽  
Peptide Receptor ◽  
Standardized Uptake Values ◽  
Pet Ct ◽  
Metastatic Liver

ABSTRACT Introduction Neuroendocrine neoplasms express somatostatin receptors, enabling the use of somatostatin analogs for molecular imaging, when labeled with the positron-emitter 68Ga for receptor positron emission tomography/computed tomography (PET/CT), and targeted radionuclide therapy, when labeled with beta-emitters, e.g. 90Y and 177Lu. Aim To investigate if 68Ga-DOTATATE PET-derived standardized uptake values (SUV) correlate with the dose delivered to the liver lesions following 177Lu-DOTATATE radionuclide therapy in patients with neuroendocrine neoplasms. Materials and methods Twelve adult (8M: 4F; mean age: 55.9 ± 14.5 years; range: 23-78 years) patients with documented neuroendocrine tumor (NET) disease and liver metastases were enrolled in the study. Ten patients were subjected to 68Ga-DOTATATE and one patient each underwent 68Ga-DOTATOC and 68Ga-DOTANOC diagnostic PET/CT imaging. Subsequently, on the basis of positive PET/CT scan findings for the metastatic NET disease, all these patients were subjected to peptide receptor radionuclide therapy (PRRNT) with 177Lu-DOTATATE. The reconstructed PET/CT data was used to calculate the SUVs on the identifiable liver lesions. The scintigraphic data acquired (anterior and posterior whole body images) following therapeutic doses of 177Lu-DOTATATE were subjected to the quantitative analysis (HERMES workstation and OLINDA/EXM software) to calculate the dose delivered to the hepatic lesions. Results The initial results of this preliminary study indicate poor correlation between SUV and the tumor dose and the linear regression analysis provided R2 values which explained only a small fraction of the total variance. Conclusion The SUVs derived from 68Ga-DOTA-peptide PET/CT images should be used with caution for the prediction of tumor dose on 177Lu-DOTA-peptide therapy as there are large intra- and interpatient variability. Further studies with large numbers of patients are warranted to establish such a correlation between SUV, tumor dose and the response assessment. How to cite this article Singh B, Prasad V, Schuchardt C, Kulkarni H, Baum RP. Can the Standardized Uptake Values derived from Diagnostic 68Ga-DOTATATE PET/CT Imaging Predict the Radiation Dose delivered to the Metastatic Liver NET Lesions on 177Lu-DOTATATE Peptide Receptor Radionuclide Therapy? J Postgrad Med Edu Res 2013;47(1):7-13.

scholarly journals Qualification of National Cancer Institute–Designated Cancer Centers for Quantitative PET/CT Imaging in Clinical Trials

2017 ◽  
Vol 58 (7) ◽  
pp. 1065-1071 ◽  
Author(s):  
Joshua S. Scheuermann ◽  
Janet S. Reddin ◽  
Adam Opanowski ◽  
Paul E. Kinahan ◽  
Barry A. Siegel ◽  
...  
Keyword(s):  
Clinical Trials ◽  
National Cancer Institute ◽  
Ct Imaging ◽  
Cancer Centers ◽  
Quantitative Pet ◽  
Pet Ct

scholarly journals Deep learning–based metal artefact reduction in PET/CT imaging

2021 ◽  
Author(s):  
Hossein Arabi ◽  
Habib Zaidi
Keyword(s):  
Deep Learning ◽  
Scatter Correction ◽  
Ct Images ◽  
Ct Imaging ◽  
Metal Artefact Reduction ◽  
Metal Artefacts ◽  
Quantitative Pet ◽  
Pet Ct ◽  
Metal Artefact ◽  
Artefact Reduction

Abstract Objectives The susceptibility of CT imaging to metallic objects gives rise to strong streak artefacts and skewed information about the attenuation medium around the metallic implants. This metal-induced artefact in CT images leads to inaccurate attenuation correction in PET/CT imaging. This study investigates the potential of deep learning–based metal artefact reduction (MAR) in quantitative PET/CT imaging. Methods Deep learning–based metal artefact reduction approaches were implemented in the image (DLI-MAR) and projection (DLP-MAR) domains. The proposed algorithms were quantitatively compared to the normalized MAR (NMAR) method using simulated and clinical studies. Eighty metal-free CT images were employed for simulation of metal artefact as well as training and evaluation of the aforementioned MAR approaches. Thirty 18F-FDG PET/CT images affected by the presence of metallic implants were retrospectively employed for clinical assessment of the MAR techniques. Results The evaluation of MAR techniques on the simulation dataset demonstrated the superior performance of the DLI-MAR approach (structural similarity (SSIM) = 0.95 ± 0.2 compared to 0.94 ± 0.2 and 0.93 ± 0.3 obtained using DLP-MAR and NMAR, respectively) in minimizing metal artefacts in CT images. The presence of metallic artefacts in CT images or PET attenuation correction maps led to quantitative bias, image artefacts and under- and overestimation of scatter correction of PET images. The DLI-MAR technique led to a quantitative PET bias of 1.3 ± 3% compared to 10.5 ± 6% without MAR and 3.2 ± 0.5% achieved by NMAR. Conclusion The DLI-MAR technique was able to reduce the adverse effects of metal artefacts on PET images through the generation of accurate attenuation maps from corrupted CT images. Key Points • The presence of metallic objects, such as dental implants, gives rise to severe photon starvation, beam hardening and scattering, thus leading to adverse artefacts in reconstructed CT images. • The aim of this work is to develop and evaluate a deep learning–based MAR to improve CT-based attenuation and scatter correction in PET/CT imaging. • Deep learning–based MAR in the image (DLI-MAR) domain outperformed its counterpart implemented in the projection (DLP-MAR) domain. The DLI-MAR approach minimized the adverse impact of metal artefacts on whole-body PET images through generating accurate attenuation maps from corrupted CT images.

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