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5 results on '"Simone Pieplenbosch"'

1. Sensitivity of an AI method for [18F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols

Author

Maria C. Ferrández, Sandeep S. V. Golla, Jakoba J. Eertink, Bart M. de Vries, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Louise Schilder, Martijn W. Heymans, Josée M. Zijlstra, and Ronald Boellaard

Subjects
Diffuse large B-cell lymphoma, PET, Convolutional neural networks, Reconstruction, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Background Convolutional neural networks (CNNs), applied to baseline [18F]-FDG PET/CT maximum intensity projections (MIPs), show potential for treatment outcome prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study is to investigate the robustness of CNN predictions to different image reconstruction protocols. Baseline [18F]FDG PET/CT scans were collected from 20 DLBCL patients. EARL1, EARL2 and high-resolution (HR) protocols were applied per scan, generating three images with different image qualities. Image-based transformation was applied by blurring EARL2 and HR images to generate EARL1 compliant images using a Gaussian filter of 5 and 7 mm, respectively. MIPs were generated for each of the reconstructions, before and after image transformation. An in-house developed CNN predicted the probability of tumor progression within 2 years for each MIP. The difference in probabilities per patient was then calculated between both EARL2 and HR with respect to EARL1 (delta probabilities or ΔP). We compared these to the probabilities obtained after aligning the data with ComBat using the difference in median and interquartile range (IQR). Results CNN probabilities were found to be sensitive to different reconstruction protocols (EARL2 ΔP: median = 0.09, interquartile range (IQR) = [0.06, 0.10] and HR ΔP: median = 0.1, IQR = [0.08, 0.16]). Moreover, higher resolution images (EARL2 and HR) led to higher probability values. After image-based and ComBat transformation, an improved agreement of CNN probabilities among reconstructions was found for all patients. This agreement was slightly better after image-based transformation (transformed EARL2 ΔP: median = 0.022, IQR = [0.01, 0.02] and transformed HR ΔP: median = 0.029, IQR = [0.01, 0.03]). Conclusion Our CNN-based outcome predictions are affected by the applied reconstruction protocols, yet in a predictable manner. Image-based harmonization is a suitable approach to harmonize CNN predictions across image reconstruction protocols.

Published
2023
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2. Quantitative implications of the updated EARL 2019 PET–CT performance standards

Author

Andres Kaalep, Coreline N. Burggraaff, Simone Pieplenbosch, Eline E. Verwer, Terez Sera, Josee Zijlstra, Otto S. Hoekstra, Daniela E. Oprea-Lager, and Ronald Boellaard

Subjects
Performance, Harmonisation, PET, CT, Quantification, EARL accreditation, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Purpose Recently, updated EARL specifications (EARL2) have been developed and announced. This study aims at investigating the impact of the EARL2 specifications on the quantitative reads of clinical PET–CT studies and testing a method to enable the use of the EARL2 standards whilst still generating quantitative reads compliant with current EARL standards (EARL1). Methods Thirteen non-small cell lung cancer (NSCLC) and seventeen lymphoma PET–CT studies were used to derive four image datasets—the first dataset complying with EARL1 specifications and the second reconstructed using parameters as described in EARL2. For the third (EARL2F6) and fourth (EARL2F7) dataset in EARL2, respectively, 6 mm and 7 mm Gaussian post-filtering was applied. We compared the results of quantitative metrics (MATV, SUVmax, SUVpeak, SUVmean, TLG, and tumor-to-liver and tumor-to-blood pool ratios) obtained with these 4 datasets in 55 suspected malignant lesions using three commonly used segmentation/volume of interest (VOI) methods (MAX41, A50P, SUV4). Results We found that with EARL2 MAX41 VOI method, MATV decreases by 22%, TLG remains unchanged and SUV values increase by 23–30% depending on the specific metric used. The EARL2F7 dataset produced quantitative metrics best aligning with EARL1, with no significant differences between most of the datasets (p>0.05). Different VOI methods performed similarly with regard to SUV metrics but differences in MATV as well as TLG were observed. No significant difference between NSCLC and lymphoma cancer types was observed. Conclusions Application of EARL2 standards can result in higher SUVs, reduced MATV and slightly changed TLG values relative to EARL1. Applying a Gaussian filter to PET images reconstructed using EARL2 parameters successfully yielded EARL1 compliant data.

Published
2019
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3. Quantitative Assessment of Arthritis Activity in Rheumatoid Arthritis Patients Using [

Author

Maqsood, Yaqub, Nicki J F, Verweij, Simone, Pieplenbosch, Ronald, Boellaard, Adriaan A, Lammertsma, and Conny J, van der Laken

Subjects
Male, rheumatoid arthritis, Middle Aged, Severity of Illness Index, Article, quantification, simplified methods, Arthritis, Rheumatoid, Pyrimidines, PET, Positron-Emission Tomography, Acetamides, Image Processing, Computer-Assisted, Humans, Pyrazoles, Female, Carbon Radioisotopes, Radiopharmaceuticals, pharmacokinetics, Biomarkers
Abstract

Treatment for rheumatoid arthritis (RA) should be started as early as possible to prevent destruction of bone and cartilage in affected joints. A new diagnostic tool for both early diagnosis and therapy monitoring would be valuable to reduce permanent joint damage. Positron emission tomography (PET) imaging of macrophages is a previously demonstrated non-invasive means to visualize (sub)clinical arthritis in RA patients. We developed a kinetic model to quantify uptake of the macrophage tracer [11C]DPA-713 (N,N-diethyl-2-[2-(4-methoxyphenyl)-5,7-dimethylpyrazolo [1,5-a]pyrimidin-3-yl]acetamide) in arthritic joints of RA patients and to assess the performance of several simplified methods. Dynamic [11C]DPA-713 scans of 60 min with both arterial and venous blood sampling were performed in five patients with clinically active disease. [11C]DPA-713 showed enhanced uptake in affected joints of RA patients, with tracer uptake levels corresponding to clinical presence and severity of arthritis. The optimal quantitative model for assessment of [11C]DPA-713 uptake was the irreversible two tissue compartment model (2T3k). Both Ki and standardized uptake value (SUV) correlated with the presence of arthritis in RA patients. Using SUV as an outcome measure allows for a simplified static imaging protocol that can be used in larger cohorts.

Published
2020

4. Interobserver reproducibility of tumor uptake quantification with

Author

Yvonne W S, Jauw, Frederike, Bensch, Adrienne H, Brouwers, Otto S, Hoekstra, Josée M, Zijlstra, Simone, Pieplenbosch, Carolien P, Schröder, Sonja, Zweegman, Guus A M S, van Dongen, C Willemien, Menke-van der Houven van Oordt, Elisabeth G E, de Vries, Henrica C W, de Vet, Ronald, Boellaard, and Marc C, Huisman

Subjects
Adult, Male, Observer Variation, Radioisotopes, Lymphoma, B-Cell, Antibodies, Monoclonal, Biological Transport, Middle Aged, Reproducibility, PET, Positron-Emission Tomography, Humans, Immuno-PET, Female, Original Article, Monoclonal antibodies, Zirconium, Aged, Retrospective Studies, 89Zirconium
Abstract

Purpose In-vivo quantification of tumor uptake of 89-zirconium (89Zr)-labelled monoclonal antibodies (mAbs) with PET provides a potential tool in strategies to optimize tumor targeting and therapeutic efficacy. A specific challenge for 89Zr-immuno-PET is low tumor contrast. This is expected to result in interobserver variation in tumor delineation. Therefore, the aim of this study was to determine interobserver reproducibility of tumor uptake measures by tumor delineation on 89Zr-immuno-PET scans. Methods Data were obtained from previously published clinical studies performed with 89Zr-rituximab, 89Zr-cetuximab and 89Zr-trastuzumab. Tumor lesions on 89Zr-immuno-PET were identified as focal uptake exceeding local background by a nuclear medicine physician. Three observers independently manually delineated volumes of interest (VOI). Maximum, peak and mean standardized uptake values (SUVmax, SUVpeak and SUVmean) were used to quantify tumor uptake. Interobserver variability was expressed as the coefficient of variation (CoV). The performance of semi-automatic VOI delineation using 50% of background-corrected ACpeak was described. Results In total, 103 VOI were delineated (3–6 days post injection (D3-D6)). Tumor uptake (median, interquartile range) was 9.2 (5.2–12.6), 6.9 (4.0–9.6) and 5.5 (3.3–7.8) for SUVmax, SUVpeak and SUVmean. Interobserver variability was 0% (0–12), 0% (0–2) and 7% (5–14), respectively (n = 103). The success rate of the semi-automatic method was 45%. Inclusion of background was the main reason for failure of semi-automatic VOI. Conclusions This study shows that interobserver reproducibility of tumor uptake quantification on 89Zr-immuno-PET was excellent for SUVmax and SUVpeak using a standardized manual procedure for tumor segmentation. Semi-automatic delineation was not robust due to limited tumor contrast. Electronic supplementary material The online version of this article (10.1007/s00259-019-04377-6) contains supplementary material, which is available to authorized users.

Published
2019

5. Quantitative Assessment of Arthritis Activity in Rheumatoid Arthritis Patients Using [11C]DPA-713 Positron Emission Tomography

Author

Simone Pieplenbosch, Conny J. van der Laken, N. J. F. Verweij, Maqsood Yaqub, Ronald Boellaard, Adriaan A. Lammertsma, Radiology and nuclear medicine, Rheumatology, Amsterdam Movement Sciences, AII - Inflammatory diseases, and AMS - Tissue Function & Regeneration

Subjects
rheumatoid arthritis, Arthritis, Standardized uptake value, Catalysis, simplified methods, lcsh:Chemistry, Inorganic Chemistry, 03 medical and health sciences, DPA-713, 0302 clinical medicine, Pharmacokinetics, medicine, Physical and Theoretical Chemistry, lcsh:QH301-705.5, Molecular Biology, Spectroscopy, 030203 arthritis & rheumatology, medicine.diagnostic_test, business.industry, Cartilage, Organic Chemistry, General Medicine, medicine.disease, quantification, Computer Science Applications, PET, medicine.anatomical_structure, lcsh:Biology (General), lcsh:QD1-999, Positron emission tomography, Rheumatoid arthritis, business, Nuclear medicine, pharmacokinetics, 030217 neurology & neurosurgery, Blood drawing
Abstract

Treatment for rheumatoid arthritis (RA) should be started as early as possible to prevent destruction of bone and cartilage in affected joints. A new diagnostic tool for both early diagnosis and therapy monitoring would be valuable to reduce permanent joint damage. Positron emission tomography (PET) imaging of macrophages is a previously demonstrated non-invasive means to visualize (sub)clinical arthritis in RA patients. We developed a kinetic model to quantify uptake of the macrophage tracer [11C]DPA-713 (N,N-diethyl-2-[2-(4-methoxyphenyl)-5,7-dimethylpyrazolo [1,5-a]pyrimidin-3-yl]acetamide) in arthritic joints of RA patients and to assess the performance of several simplified methods. Dynamic [11C]DPA-713 scans of 60 min with both arterial and venous blood sampling were performed in five patients with clinically active disease. [11C]DPA-713 showed enhanced uptake in affected joints of RA patients, with tracer uptake levels corresponding to clinical presence and severity of arthritis. The optimal quantitative model for assessment of [11C]DPA-713 uptake was the irreversible two tissue compartment model (2T3k). Both Ki and standardized uptake value (SUV) correlated with the presence of arthritis in RA patients. Using SUV as an outcome measure allows for a simplified static imaging protocol that can be used in larger cohorts.

Published
2020
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