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Habouzit V, Flaus A, Phelip JM, Grange S, Le Roy B, Grange R, Prévot N. Influence of Covariates on 18F-FDG PET/CT Diagnostic Accuracy for Liver Metastasis. Diagnostics (Basel) 2024; 14:1466. [PMID: 39061604 PMCID: PMC11276173 DOI: 10.3390/diagnostics14141466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/05/2024] [Accepted: 07/06/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Background: 18F-FDG PET/CT diagnostic accuracy for liver metastasis (LM) could be influenced by technical parameters, lesion size, and the patient's covariates. This retrospective study aimed to evaluate these covariates' impact on PET/CT sensitivity. (2) Methods: Consecutive patients with suspected LMs who underwent 18F-FDG PET/CT scans were included. PET/CT scans were interpreted visually. The reference standard integrated histopathological and imaging follow-up. Logistic regression modeling and average marginal predictions were used to calculate per-lesion diagnostic performance measures with cluster robust 95% confidence intervals and to assess the covariates' impact on PET/CT sensitivity. (3) Results: We included 192 patients with 330 lesions. 18F-FDG PET/CT exhibited a per-lesion sensitivity, specificity, positive predictive value, and negative predictive value of 86%, 79%, 91%, and 69%, respectively. In multivariate analysis, TOF PET/CT exhibited a higher sensitivity than non-TOF PET/CT (91% vs. 78%, p = 0.02). Sensitivity was reduced for lesions < 10 mm compared to larger lesions (56% vs. 93%, p < 0.001). A 5 kg/m2 increase in BMI led to an average 5% sensitivity reduction (p < 0.001). Age, sex, blood glucose level below 11 mmol/L, and liver density did not significantly impact sensitivity (p > 0.05). (4) Conclusions: 18F-FDG PET/CT sensitivity might be reduced with non-TOF PET, lesions < 10 mm, and higher BMI.
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Affiliation(s)
- Vincent Habouzit
- Department of Nuclear Medicine, University Hospital of Saint-Etienne, 42055 Saint Etienne, France
- Targeting Research Unit in Oncology, University Hospital of Saint-Etienne (URCAS), 42055 Saint Etienne, France
| | - Anthime Flaus
- Department of Nuclear Medicine, Hospices Civils de Lyon, 69500 Bron, France
- Medical Faculty of Lyon Est, University Claude Bernard Lyon 1, 69003 Lyon, France
| | - Jean-Marc Phelip
- Targeting Research Unit in Oncology, University Hospital of Saint-Etienne (URCAS), 42055 Saint Etienne, France
- Department of Gastroenterology, University Hospital of Saint-Etienne, 42055 Saint Etienne, France
| | - Sylvain Grange
- Targeting Research Unit in Oncology, University Hospital of Saint-Etienne (URCAS), 42055 Saint Etienne, France
- Department of Radiology, University Hospital of Saint-Etienne, 42055 Saint Etienne, France
| | - Bertrand Le Roy
- Targeting Research Unit in Oncology, University Hospital of Saint-Etienne (URCAS), 42055 Saint Etienne, France
- Department of Surgery, University Hospital of Saint-Etienne, 42055 Saint Etienne, France
| | - Rémi Grange
- Targeting Research Unit in Oncology, University Hospital of Saint-Etienne (URCAS), 42055 Saint Etienne, France
- Department of Radiology, University Hospital of Saint-Etienne, 42055 Saint Etienne, France
| | - Nathalie Prévot
- Department of Nuclear Medicine, University Hospital of Saint-Etienne, 42055 Saint Etienne, France
- SAINBIOSE U1059, INSERM, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023 Saint Etienne, France
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Ueda T, Yamashita K, Kawazoe R, Sayawaki Y, Morisawa Y, Kamezaki R, Ikeda R, Shiraishi S, Uchiyama Y, Ito S. Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning. ASIA OCEANIA JOURNAL OF NUCLEAR MEDICINE & BIOLOGY 2024; 12:108-119. [PMID: 39050241 PMCID: PMC11263769 DOI: 10.22038/aojnmb.2024.74875.1522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/24/2023] [Accepted: 01/11/2024] [Indexed: 07/27/2024]
Abstract
Objectives To develop the following three attenuation correction (AC) methods for brain 18F-fluorodeoxyglucose-positron emission tomography (PET), using deep learning, and to ascertain their precision levels: (i) indirect method; (ii) direct method; and (iii) direct and high-resolution correction (direct+HRC) method. Methods We included 53 patients who underwent cranial magnetic resonance imaging (MRI) and computed tomography (CT) and 27 patients who underwent cranial MRI, CT, and PET. After fusion of the magnetic resonance, CT, and PET images, resampling was performed to standardize the field of view and matrix size and prepare the data set. In the indirect method, synthetic CT (SCT) images were generated, whereas in the direct and direct+HRC methods, a U-net structure was used to generate AC images. In the indirect method, attenuation correction was performed using SCT images generated from MRI findings using U-net instead of CT images. In the direct and direct+HRC methods, AC images were generated directly from non-AC images using U-net, followed by image evaluation. The precision levels of AC images generated using the indirect and direct methods were compared based on the normalized mean squared error (NMSE) and structural similarity (SSIM). Results Visual inspection revealed no difference between the AC images prepared using CT-based attenuation correction and those prepared using the three methods. The NMSE increased in the order indirect, direct, and direct+HRC methods, with values of 0.281×10-3, 4.62×10-3, and 12.7×10-3, respectively. Moreover, the SSIM of the direct+HRC method was 0.975. Conclusion The direct+HRC method enables accurate attenuation without CT exposure and high-resolution correction without dedicated correction programs.
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Affiliation(s)
- Tomohiro Ueda
- Graduate School of Health Sciences, Kumamoto University, Japan
| | | | - Retsu Kawazoe
- Graduate School of Health Sciences, Kumamoto University, Japan
| | - Yuta Sayawaki
- Graduate School of Health Sciences, Kumamoto University, Japan
| | | | - Ryosuke Kamezaki
- Department of Central Radiology Kumamoto University Hospital, Japan
| | - Ryuji Ikeda
- Department of Central Radiology Kumamoto University Hospital, Japan
| | - Shinya Shiraishi
- Department of Diagnostic Radiology, Faculty of Life Sciences,Kumamoto University, Japan
| | - Yoshikazu Uchiyama
- Department of Information and Communication Technology, Faculty of Engineering, University of Miyazaki, Japan
| | - Shigeki Ito
- Department of Medical Radiation Sciences, Faculty of Life Sciences, Kumamoto University, Japan
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3
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Boanova LG, Altmayer S, Watte G, Raupp AA, Francisco MZ, De Oliveira GS, Hochhegger B, Andrade RGF. Detection of Liver Lesions in Colorectal Cancer Patients Using 18F-FDG PET/CT Dual-Time-Point Scan Imaging. Cancers (Basel) 2023; 15:5403. [PMID: 38001662 PMCID: PMC10670707 DOI: 10.3390/cancers15225403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/24/2023] [Accepted: 11/03/2023] [Indexed: 11/26/2023] Open
Abstract
OBJECTIVE The aim of this study was to evaluate the diagnostic performance of dual-time-point fluorine-18-fluorodeoxyglucose positron emission computed tomography/computed tomography (18F-FDG PET/CT) compared to conventional early imaging for detecting colorectal liver metastases (CRLM) in colorectal cancer (CRC) patients. METHODS One hundred twenty-four consecutive CRC patients underwent dual-time-point imaging scans on a retrospective basis. Histopathological confirmation and/or clinical follow-up were accepted as the gold standard. Standard uptake values (SUV), signal-to-noise ratio (SNR), retention index (RI), tumor-to-normal liver ratio (TNR), and lesion sizes were measured for early and delayed PET scans. The diagnostic performance of early and delayed images was calculated on a per-patient basis and compared using McNemar's test. RESULTS Among the 124 patients, 57 (46%) had CRLM, 6 (4.8%) had benign lesions, and 61 (49.2%) had no concerning lesions detected. Smaller CRLM lesions (<5 cm3) showed significantly higher uptake in the delayed scans relative to early imaging (p < 0.001). The SUV and TNR increased significantly in delayed imaging of all metastatic lesions (p < 0.001). The retention index of all CRLM was high (40.8%), especially for small lesions (54.8%). A total of 177 lesions in delayed images and 124 in standard early images were identified. In a per-patient analysis, delayed imaging had significantly higher sensitivity (100% vs. 87.7%) and specificity (91.0% vs. 94.0%) compared to early imaging (p-value = 0.04). CONCLUSIONS The detection of liver lesions using dual-time-point PET/CT scan improves the sensitivity and specificity for the detection of colorectal liver metastasis.
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Affiliation(s)
- Luciane G. Boanova
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
- Department of Nuclear Medicine, Hospital Mae de Deus, Av. Jose de Alencar 286, Porto Alegre 90880-481, Brazil;
| | - Stephan Altmayer
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
| | - Guilherme Watte
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre, Rua Sarmento Leite 245, Porto Alegre 90050-170, Brazil; (G.W.); (M.Z.F.)
| | - Ana Amelia Raupp
- Department of Nuclear Medicine, Hospital Mae de Deus, Av. Jose de Alencar 286, Porto Alegre 90880-481, Brazil;
| | - Martina Zaguini Francisco
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre, Rua Sarmento Leite 245, Porto Alegre 90050-170, Brazil; (G.W.); (M.Z.F.)
| | - Guilherme Strieder De Oliveira
- School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2400—Santa Cecília, Porto Alegre 90035-003, Brazil;
| | - Bruno Hochhegger
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
| | - Rubens G. F. Andrade
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
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4
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Kendrick J, Francis RJ, Hassan GM, Rowshanfarzad P, Ong JSL, Barry N, Rusanov B, Ebert MA. Quantitative [ 68Ga]Ga-PSMA-11 PET biomarkers for the analysis of lesion-level progression in biochemically recurrent prostate cancer: a multicentre study. Sci Rep 2023; 13:17673. [PMID: 37848692 PMCID: PMC10582101 DOI: 10.1038/s41598-023-45106-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/16/2023] [Indexed: 10/19/2023] Open
Abstract
[68Ga]Ga-PSMA-11 PET has become the standard imaging modality for biochemically recurrent (BCR) prostate cancer (PCa). However, its prognostic value in assessing response at this stage remains uncertain. The study aimed to assess the prognostic significance of radiographic patient-level patterns of progression derived from lesion-level biomarker quantitation in metastatic disease sites. A total of 138 BCR PCa patients with both baseline and follow-up [68Ga]Ga-PSMA-11 PET scans were included in this analysis. Tumour response was quantified at the lesion level using commonly used quantitative parameters (SUVmean, SUVmax, SUVpeak, volume), and patients were classified as systemic, mixed, or no-progression based on these response classifications. A total of 328 matched lesions between baseline and follow-up scans were analysed. The results showed that systemic progressors had a significantly higher risk of death than patients with no progression with SUVmean demonstrating the highest prognostic value (HR = 5.70, 95% CI = 2.63-12.37, p < 0.001, C-Index = 0.69). Moreover, progressive disease as measured by SUVmean using the radiographic PSMA PET Progression Criteria (rPPP) was found to be significantly prognostic for patient overall survival (HR = 3.67, 95% CI = 1.82-7.39, p < 0.001, C-Index = 0.65). This work provides important evidence supporting the prognostic utility of PSMA response quantitation in the BCR setting.
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Affiliation(s)
- Jake Kendrick
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, WA, Australia.
- Centre for Advanced Technologies in Cancer Research, Perth, WA, Australia.
| | - Roslyn J Francis
- Medical School, University of Western Australia, Crawley, WA, Australia
- Department of Nuclear Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- Australian Centre for Quantitative Imaging, University of Western Australia, Crawley, WA, Australia
| | - Ghulam Mubashar Hassan
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, WA, Australia
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, WA, Australia
- Centre for Advanced Technologies in Cancer Research, Perth, WA, Australia
| | - Jeremy S L Ong
- Department of Nuclear Medicine, Fiona Stanley Hospital, Murdoch, WA, Australia
| | - Nathaniel Barry
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, WA, Australia
- Centre for Advanced Technologies in Cancer Research, Perth, WA, Australia
| | - Branimir Rusanov
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, WA, Australia
- Centre for Advanced Technologies in Cancer Research, Perth, WA, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Martin A Ebert
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, WA, Australia
- Centre for Advanced Technologies in Cancer Research, Perth, WA, Australia
- Australian Centre for Quantitative Imaging, University of Western Australia, Crawley, WA, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, WA, Australia
- 5D Clinics, Claremont, WA, Australia
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5
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van Lith SAM, Pruis IJ, Tolboom N, Snijders TJ, Henssen D, Ter Laan M, Te Dorsthorst M, Leenders WPJ, Gotthardt M, Nagarajah J, Robe PA, De Witt Hamer P, Hendrikse H, Oprea-Lager DE, Yaqub M, Boellaard R, Wesseling P, Balvers RK, Verburg FA, Harteveld AA, Smits M, van den Bent M, van Zanten SEMV, van de Giessen E. PET Imaging and Protein Expression of Prostate-Specific Membrane Antigen in Glioblastoma: A Multicenter Inventory Study. J Nucl Med 2023; 64:1526-1531. [PMID: 37652540 DOI: 10.2967/jnumed.123.265738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/31/2023] [Indexed: 09/02/2023] Open
Abstract
Upregulation of prostate-specific membrane antigen (PSMA) in neovasculature has been described in glioblastoma multiforme (GBM), whereas vasculature in nonaffected brain shows hardly any expression of PSMA. It is unclear whether PSMA-targeting tracer uptake on PET is based on PSMA-specific binding to neovasculature or aspecific uptake in tumor. Here, we quantified uptake of various PSMA-targeting tracers in GBM and correlated this with PSMA expression in tumor biopsy samples from the same patients. Methods: Fourteen patients diagnosed with de novo (n = 8) or recurrent (n = 6) GBM underwent a preoperative PET scan after injection of 1.5 MBq/kg [68Ga]Ga-PSMA-11 (n = 7), 200 MBq of [18F]DCFpyl (n = 3), or 200 MBq of [18F]PSMA-1007 (n = 4). Uptake in tumor and tumor-to-background ratios, with contralateral nonaffected brain as background, were determined. In a subset of patients, PSMA expression levels from different regions in the tumor tissue samples (n = 40), determined using immunohistochemistry (n = 35) or RNA sequencing (n = 13), were correlated with tracer uptake on PET. Results: Moderate to high (SUVmax, 1.3-20.0) heterogeneous uptake was found in all tumors irrespective of the tracer type used. Uptake in nonaffected brain was low, resulting in high tumor-to-background ratios (6.1-359.0) calculated by dividing SUVmax of tumor by SUVmax of background. Immunohistochemistry showed variable PSMA expression on endothelial cells of tumor microvasculature, as well as on dispersed individual cells (of unknown origin), and granular staining of the neuropil. No correlation was found between in vivo uptake and PSMA expression levels (for immunohistochemistry, r = -0.173, P = 0.320; for RNA, r = -0.033, P = 0.915). Conclusion: Our results indicate the potential use of various PSMA-targeting tracers in GBM. However, we found no correlation between PSMA expression levels on immunohistochemistry and uptake intensity on PET. Whether this may be explained by methodologic reasons, such as the inability to measure functionally active PSMA with immunohistochemistry, tracer pharmacokinetics, or the contribution of a disturbed blood-brain barrier to tracer retention, should still be investigated.
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Affiliation(s)
- Sanne A M van Lith
- Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ilanah J Pruis
- Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Nelleke Tolboom
- Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tom J Snijders
- Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Dylan Henssen
- Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mark Ter Laan
- Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - William P J Leenders
- Biochemistry, Radboud University Medical Center, Nijmegen, The Netherlands
- Predica Diagnostics, Nijmegen, The Netherlands
| | - Martin Gotthardt
- Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - James Nagarajah
- Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Pierre A Robe
- Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Harry Hendrikse
- Radiology and Nuclear Medicine, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | | | - Maqsood Yaqub
- Radiology and Nuclear Medicine, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Radiology and Nuclear Medicine, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | - Pieter Wesseling
- Pathology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
- Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | | | | | - Anita A Harteveld
- Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Marion Smits
- Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Medical Delta, Delft, The Netherlands; and
| | - Martin van den Bent
- Brain Tumor Center at Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, The Netherlands
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6
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Heydarheydari S, Birgani MJT, Rezaeijo SM. Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworks. Pol J Radiol 2023; 88:e365-e370. [PMID: 37701174 PMCID: PMC10493858 DOI: 10.5114/pjr.2023.130815] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 06/30/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose Accurately segmenting head and neck cancer (HNC) tumors in medical images is crucial for effective treatment planning. However, current methods for HNC segmentation are limited in their accuracy and efficiency. The present study aimed to design a model for segmenting HNC tumors in three-dimensional (3D) positron emission tomography (PET) images using Non-Local Means (NLM) and morphological operations. Material and Methods The proposed model was tested using data from the HECKTOR challenge public dataset, which included 408 patient images with HNC tumors. NLM was utilized for image noise reduction and preservation of critical image information. Following pre-processing, morphological operations were used to assess the similarity of intensity and edge information within the images. The Dice score, Intersection Over Union (IoU), and accuracy were used to evaluate the manual and predicted segmentation results. Results The proposed model achieved an average Dice score of 81.47 ± 3.15, IoU of 80 ± 4.5, and accuracy of 94.03 ± 4.44, demonstrating its effectiveness in segmenting HNC tumors in PET images. Conclusions The proposed algorithm provides the capability to produce patient-specific tumor segmentation without manual interaction, addressing the limitations of current methods for HNC segmentation. The model has the potential to improve treatment planning and aid in the development of personalized medicine. Additionally, this model can be extended to effectively segment other organs from limited annotated medical images.
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Affiliation(s)
- Sahel Heydarheydari
- Department of Medical Imaging and Radiation Sciences, Faculty of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Seyed Masoud Rezaeijo
- Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Cancer Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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7
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Czerner CP, Derlin T, Bengel FM, Weiberg D. [Positron emission tomography in oncology]. RADIOLOGIE (HEIDELBERG, GERMANY) 2023:10.1007/s00117-023-01174-z. [PMID: 37326633 DOI: 10.1007/s00117-023-01174-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Positron emission tomography (PET) is a highly sensitive imaging tool that noninvasively characterizes metabolic processes and molecular targets. PET has become an integral part of oncological diagnostics and an increasingly important tool for oncological therapy management. PET assessment, for example, directly influences treatment escalation or de-escalation in context of Hodgkin lymphomas or is, in case of lung cancer, able to reduce unnecessary surgeries. Hence, molecular PET imaging represents an indispensable tool in the development of personalized treatments. Furthermore, the development of new radiotracers for specific cell surface structures offers a promising potential for diagnostics and-combined with therapeutic nuclides-also for therapies. One recent example are radioligands targeting prostate-specific membrane antigen, which are relevant in prostate cancer.
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Affiliation(s)
- Christoph P Czerner
- Klinik für Nuklearmedizin, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland
| | - Thorsten Derlin
- Klinik für Nuklearmedizin, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland
| | - Frank M Bengel
- Klinik für Nuklearmedizin, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland
| | - Desiree Weiberg
- Klinik für Nuklearmedizin, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland.
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8
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Korsholm K, Overbeck N, Dias AH, Loft A, Andersen FL, Fischer BM. Impact of Reduced Image Noise on Deauville Scores in Patients with Lymphoma Scanned on a Long-Axial Field-of-View PET/CT-Scanner. Diagnostics (Basel) 2023; 13:diagnostics13050947. [PMID: 36900090 PMCID: PMC10000539 DOI: 10.3390/diagnostics13050947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 03/06/2023] Open
Abstract
BACKGROUND Total body and long-axial field-of-view (LAFOV) PET/CT represent visionary innovations in imaging enabling either improved image quality, reduction in injected activity-dose or decreased acquisition time. An improved image quality may affect visual scoring systems, including the Deauville score (DS), which is used for clinical assessment of patients with lymphoma. The DS compares SUVmax in residual lymphomas with liver parenchyma, and here we investigate the impact of reduced image noise on the DS in patients with lymphomas scanned on a LAFOV PET/CT. METHODS Sixty-eight patients with lymphoma underwent a whole-body scan on a Biograph Vision Quadra PET/CT-scanner, and images were evaluated visually with regard to DS for three different timeframes of 90, 300, and 600 s. SUVmax and SUVmean were calculated from liver and mediastinal blood pool, in addition to SUVmax from residual lymphomas and measures of noise. RESULTS SUVmax in liver and in mediastinal blood pool decreased significantly with increasing acquisition time, whereas SUVmean remained stable. In residual tumor, SUVmax was stable during different acquisition times. As a result, the DS was subject to change in three patients. CONCLUSIONS Attention should be drawn towards the eventual impact of improvements in image quality on visual scoring systems such as the DS.
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Affiliation(s)
- Kirsten Korsholm
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, 2100 Copenhagen, Denmark
- Correspondence:
| | - Nanna Overbeck
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, 2100 Copenhagen, Denmark
| | - André H. Dias
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Annika Loft
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, 2100 Copenhagen, Denmark
| | - Flemming Littrup Andersen
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Barbara Malene Fischer
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
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9
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van Velden FHP, de Geus-Oei LF. Editorial on Special Issue "Quantitative PET and SPECT". Diagnostics (Basel) 2022; 12:1989. [PMID: 36010339 PMCID: PMC9407256 DOI: 10.3390/diagnostics12081989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/09/2022] [Accepted: 08/15/2022] [Indexed: 11/26/2022] Open
Abstract
Since the introduction of personalized (or precision) medicine, where individually tailored treatments are designed to deliver the right treatment to the right patient at the right time, the primary focus of imaging has moved from detection and diagnosis to tissue characterization, determination of prognosis, prediction of treatment efficacy, and measurement of treatment response [...].
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Affiliation(s)
- Floris H. P. van Velden
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Lioe-Fee de Geus-Oei
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Biomedical Photonic Imaging Group, University of Twente, 7522 NB Enschede, The Netherlands
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10
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Jiménez-Ortega E, Agüera R, Ureba A, Balcerzyk M, Wals-Zurita A, García-Gómez FJ, Leal A. Implications of the Harmonization of [ 18F]FDG-PET/CT Imaging for Response Assessment of Treatment in Radiotherapy Planning. Tomography 2022; 8:1097-1112. [PMID: 35448724 PMCID: PMC9031488 DOI: 10.3390/tomography8020090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/06/2022] [Accepted: 04/07/2022] [Indexed: 11/16/2022] Open
Abstract
The purpose of this work is to present useful recommendations for the use of [18F]FDG-PET/CT imaging in radiotherapy planning and monitoring under different versions of EARL accreditation for harmonization of PET devices. A proof-of-concept experiment designed on an anthropomorphic phantom was carried out to establish the most suitable interpolation methods of the PET images in the different steps of the planning procedure. Based on PET/CT images obtained by using these optimal interpolations for the old EARL accreditation (EARL1) and for the new one (EARL2), the treatment plannings of representative actual clinical cases were calculated, and the clinical implications of the resulting differences were analyzed. As expected, EARL2 provided smaller volumes with higher resolution than EARL1. The increase in the size of the reconstructed volumes with EARL1 accreditation caused high doses in the organs at risk and in the regions adjacent to the target volumes. EARL2 accreditation allowed an improvement in the accuracy of the PET imaging precision, allowing more personalized radiotherapy. This work provides recommendations for those centers that intend to benefit from the new accreditation, EARL2, and can help build confidence of those that must continue working under the EARL1 accreditation.
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Affiliation(s)
- Elisa Jiménez-Ortega
- Departamento de Fisiología Médica y Biofísica, Universidad de Sevilla, 41009 Seville, Spain; (E.J.-O.); (R.A.); (M.B.)
- Instituto de Biomedicina de Sevilla, IBiS, 41013 Seville, Spain;
| | - Raquel Agüera
- Departamento de Fisiología Médica y Biofísica, Universidad de Sevilla, 41009 Seville, Spain; (E.J.-O.); (R.A.); (M.B.)
| | - Ana Ureba
- Instituto de Biomedicina de Sevilla, IBiS, 41013 Seville, Spain;
- Medical Radiation Physics, Department of Physics, Stockholm University, 114 21 Stockholm, Sweden
| | - Marcin Balcerzyk
- Departamento de Fisiología Médica y Biofísica, Universidad de Sevilla, 41009 Seville, Spain; (E.J.-O.); (R.A.); (M.B.)
- Centro Nacional de Aceleradores (CNA), Universidad de Sevilla, Junta de Andalucía, Consejo Superior de Investigaciones Científicas (CSIC), 41092 Seville, Spain
| | - Amadeo Wals-Zurita
- Hospital Universitario Virgen Macarena, Servicio de Radioterapia, 41009 Seville, Spain;
| | | | - Antonio Leal
- Departamento de Fisiología Médica y Biofísica, Universidad de Sevilla, 41009 Seville, Spain; (E.J.-O.); (R.A.); (M.B.)
- Instituto de Biomedicina de Sevilla, IBiS, 41013 Seville, Spain;
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