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Xu R, Yin L, Qiang G, Fu L. The value of fibrosis score and 18F-FDG by positron emission tomography-computed tomography in lung cancer patients with interstitial lung disease. J Thorac Dis 2025; 17:1541-1551. [PMID: 40223971 PMCID: PMC11986795 DOI: 10.21037/jtd-24-1512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 01/17/2025] [Indexed: 04/15/2025]
Abstract
Background Compared to general population, patients with interstitial lung disease (ILD) shows an increased risk of lung cancer (LC), and higher LC complications. Hence, this study aims to analyze the factors related to the postoperative complications and mortality of patients with malignant lung tumor-and ILD after surgical resection. Methods This study analyzed the clinical information, surgical conditions, preoperative computed tomography (CT) and positron emission tomography (PET) examination data, as well as postoperative follow-up data of 60 non-small cell LC patients and 60 non-small cell LC patients with interstitial lung disease (LC-ILD). In this study, 120 patients with non-small cell LC were retrospectively reviewed, of which 60 were assigned to LC group and 60 to LC-ILD group. Cohorts were evaluated for differences in clinical data, surgical conditions, preoperative CT/PET examination data, and postoperative follow-up data. Results The postoperative complications in the LC-ILD group were slightly higher than those in the LC group (P<0.001), and the prognosis of LC patients with ILD was significantly worse than that of those without ILD (P=0.048). The standardized uptake value ratio (SUVR) of noncancerous interstitial pneumonia (IP) area in patients with postoperative complications was higher than that of patients without complications (P=0.005), and it was the risk factor for postoperative complications in LC-ILD group [hazard ratio (HR) 3.384 (1.023-25.441); P=0.02]. Until the end of follow-up, the CT scores of non-survivors were higher than those of survivors (9.30±3.56 vs. 5.52±2.26; P=0.001). Age [HR 3.919 (1.094-7.789); P=0.04], the CT score [HR 2.352 (1.028-4.033); P=0.007], and smoking history [HR 0.354 (0.096-0.643); P=0.03] were the risk factors for mortality. Conclusions The postoperative complications and mortality of LC-ILD significantly increase. Higher SUVR of noncancerous IP area usually indicates an increase of postoperative complications. Higher CT score and smoking history suggest a poor prognosis. A follow-up longitudinal study is needed to validate the findings.
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Affiliation(s)
- Rui Xu
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Lijie Yin
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Guangliang Qiang
- Department of Thoracic Surgery, Peking University Third Hospital, Beijing, China
| | - Liping Fu
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
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Hou X, He Y, Liu G, Chen S, Shi H. SPECT/CT imaging: quantifying 99mTc-MDP concentration in the spine and pelvis. Ann Nucl Med 2024; 38:933-942. [PMID: 39154304 DOI: 10.1007/s12149-024-01967-9] [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: 05/21/2024] [Accepted: 08/05/2024] [Indexed: 08/19/2024]
Abstract
OBJECTIVE This study aimed to identify a relatively robust SUV for guiding clinical practice through quantitative measurement and comparison of various normalization methods based on the SUV of 99mTc-MDP in the normal spine and pelvis using an integrated SPECT/CT scanner. METHODS Between June 2017 and September 2019, a total of 500 oncology patients (mean age, 60.9; men, 66.0%) who underwent bone SPECT/CT scans with 99mTc-MDP were enrolled in this retrospective study. The mean SUV (SUVmean) of 4962 spinal and pelvic bones was calculated based on the patients' body weight (BW), lean body mass (LBM), bone mineral content (BMC), body surface area (BSA), and body mass index (BMI), defined as SUVbw, SUVlbm, SUVbmc, SUVbsa, and SUVbmi, respectively. The coefficients of variation (CoVs) of the aforementioned parameters were compared, and the correlation and multiple linear regression analyses were used to compare the extent to which these parameters were affected by sex, age, height, weight, BMI, and CT values. RESULTS The average SUVs in the normal spine and pelvis displayed a relatively wide variability: 4.573 ± 1.972 for SUVbw, 3.555 ± 1.517 for SUVlbm, 0.163 ± 0.071 for SUVbmc, 0.124 ± 0.052 for SUVbsa, and 1.668 ± 0.732 for SUVbmi. In general, SUVbsa had relatively lowest CoV (42.1%) in all vertebrae and pelvis compared with other SUVs. For correlation analyses, all SUVs displayed weak but significant correlations with age and CT values. For regression analyses, SUVbsa was influenced only by age, BMI, and CT values independently. The effects of these variables on SUVbsa were all smaller than those on conventional SUVbw. CONCLUSIONS The SUVs of 99mTc-MDP in normal bone derived from quantitative bone SPECT/CT could serve as a reference for evaluating tumor bone metastasis, but it should be assessed on a site-specific basis. SUVbsa exhibited superior robustness among all the SUV normalization variations, indicating potential clinical applications.
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Affiliation(s)
- Xiaoguang Hou
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
| | - Yibo He
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
| | - Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
| | - Shuguang Chen
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
- Nuclear Medicine Institute of Fudan University, Shanghai, China.
- Shanghai Institute of Medical Imaging, Shanghai, China.
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
- Nuclear Medicine Institute of Fudan University, Shanghai, China.
- Shanghai Institute of Medical Imaging, Shanghai, China.
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Dang J, Peng X, Wu P, Yao Y, Tan X, Ye Z, Jiang X, Jiang X, Liu Y, Chen S, Cheng Z. Predictive value of Dmax and %ΔSUVmax of 18F-FDG PET/CT for the prognosis of patients with diffuse large B-cell lymphoma. BMC Med Imaging 2023; 23:173. [PMID: 37907837 PMCID: PMC10617085 DOI: 10.1186/s12880-023-01138-8] [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: 05/16/2023] [Accepted: 10/25/2023] [Indexed: 11/02/2023] Open
Abstract
PURPOSE To investigate the prognosis value of a combined model based on 18F-fluoro-deoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) baseline and interim parameters in patients with diffuse large B-cell lymphoma (DLBCL). METHODS We retrospectively analyzed the PET metabolic parameters and clinical data of 154 DLBCL patients between December 2015 and October 2020. All of these patients underwent 18F-FDG PET/CT scan before treatment and after three or four courses of chemotherapy. The optimal cut-off values for quantitative variables were determined by the receiver operating characteristic (ROC) curve. The baseline and interim PET/CT parameters, which respectively included maximum standardized uptake value (SUVmax0), total metabolic tumor volume (TMTV0), standardized total metabolic tumor volume (STMTV0), and the distance between the two furthest lesions (Dmax) and total tumor lesion glycolysis (TTLG1), SUVmax1, TMTV1, and the rate of change of SUVmax (%ΔSUVmax), and clinical characteristics were analyzed by chi-squared test, Kaplan-Meier survival curve, and Cox regression analysis. RESULTS Of 154 patients, 35 exhibited disease progression or recurrence. ROC analysis revealed that baseline 18F-FDG PET/CT metabolic parameters, including maximum standardized uptake value (SUVmax0), total metabolic tumor volume (TMTV0), standardized total metabolic tumor volume (STMTV0), and the distance between the two furthest lesions (Dmax), along with interim 18F-FDG PET/CT metabolic parameters such as total tumor lesion glycolysis (TTLG1), SUVmax1, TMTV1, and the rate of change of SUVmax (%ΔSUVmax), were predictive of relapse or progression in DLBCL patients (P < 0.05). The chi-squared test showed that TMTV0, STMTV0, Dmax, SUVmax1, TMTV1, TTLG1, %ΔSUVmax, Deauville score, IPI, Ann Arbor stage, and LDH were associated with patient prognosis (P < 0.05). Multivariate Cox regression analysis showed that Dmax (P = 0.021) and %ΔSUVmax (P = 0.030) were independent predictors of prognosis in DLBCL patients. There were statistically significant differences in PFS among the three groups with high, intermediate, and low risk according to the combination model (P < 0.001). The combination model presented higher predictive efficacy than single indicators. CONCLUSION The combined model of baseline parameter Dmax and intermediate parameter %ΔSUVmax of 18F-FDG PET/CT improved the predictive efficacy of PFS and contributed to the risk stratification of patients, providing a reference for clinical individualization and precision treatment.
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Affiliation(s)
- Jun Dang
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaojuan Peng
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Ping Wu
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yutang Yao
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaofei Tan
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Zhenyan Ye
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Xuemei Jiang
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Xiao Jiang
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yongli Liu
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Shirong Chen
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Zhuzhong Cheng
- Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
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Ranjbar S, Zakavi SR, Eisazadeh R, Mirshahvalad SA, Pilz J, Jamshidi-Araghi Z, Schweighofer-Zwink G, Koelblinger P, Pirich C, Beheshti M. Impact of [ 18F]FDG PET/CT in the Assessment of Immunotherapy-Induced Arterial Wall Inflammation in Melanoma Patients Receiving Immune Checkpoint Inhibitors. Diagnostics (Basel) 2023; 13:diagnostics13091617. [PMID: 37175008 PMCID: PMC10178249 DOI: 10.3390/diagnostics13091617] [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: 03/23/2023] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
We aimed to investigate the role of [18F]FDG positron emission tomography/computed tomography (PET/CT) in the early detection of arterial wall inflammation (AWI) in melanoma patients receiving immune checkpoint inhibitors (ICIs). Our retrospective study enrolled 95 melanoma patients who had received ICIs. Inclusion criteria were ICI therapy for at least six months and at least three [18F]FDG PET/CTs, including one pretreatment session plus two scans three and six months after treatment initiation. AWI was assessed using quantitative and qualitative methods in the subclavian artery, thoracic aorta, and abdominal aorta. We found three patients with AWI visual suspicion in the baseline scan, which increased to five in the second and twelve in the third session. Most of these patients' treatments were terminated due to either immune-related adverse events (irAEs) or disease progression. In the overall population, the ratio of arterial-wall maximum standardized uptake value (SUVmax)/liver-SUVmax was significantly higher three months after treatment than the pretreatment scan in the thoracic aorta (0.83 ± 0.12 vs. 0.79 ± 0.10; p-value = 0.01) and subclavian artery (0.67 ± 0.13 vs. 0.63 ± 0.12; p-value = 0.01), and it remained steady in the six-month follow-up. None of our patients were diagnosed with definite clinical vasculitis on the dermatology follow-up reports. To conclude, our study showed [18F]FDG PET/CT's potential to visualise immunotherapy-induced subclinical inflammation in large vessels. This may lead to more accurate prediction of irAEs and better patient management.
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Affiliation(s)
- Shaghayegh Ranjbar
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Seyed Rasoul Zakavi
- Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad 13944-91388, Iran
| | - Roya Eisazadeh
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Seyed Ali Mirshahvalad
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Julia Pilz
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
- Department of Urology, Ordensklinikum Linz, 4020 Linz, Austria
| | - Zahra Jamshidi-Araghi
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Gregor Schweighofer-Zwink
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Peter Koelblinger
- Department of Dermatology, University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Christian Pirich
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Mohsen Beheshti
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
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Zwezerijnen GJC, Eertink JJ, Ferrández MC, Wiegers SE, Burggraaff CN, Lugtenburg PJ, Heymans MW, de Vet HCW, Zijlstra JM, Boellaard R. Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor. Eur J Nucl Med Mol Imaging 2023; 50:486-493. [PMID: 36166080 PMCID: PMC9816285 DOI: 10.1007/s00259-022-05977-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/15/2022] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Although visual and quantitative assessments of [18F]FDG PET/CT studies typically rely on liver uptake value as a reference or normalisation factor, consensus or consistency in measuring [18F]FDG uptake is lacking. Therefore, we evaluate the variation of several liver standardised uptake value (SUV) measurements in lymphoma [18F]FDG PET/CT studies using different uptake metrics. METHODS PET/CT scans from 34 lymphoma patients were used to calculate SUVmaxliver, SUVpeakliver and SUVmeanliver as a function of (1) volume-of-interest (VOI) size, (2) location, (3) imaging time point and (4) as a function of total metabolic tumour volume (MTV). The impact of reconstruction protocol on liver uptake is studied on 15 baseline lymphoma patient scans. The effect of noise on liver SUV was assessed using full and 25% count images of 15 lymphoma scans. RESULTS Generally, SUVmaxliver and SUVpeakliver were 38% and 16% higher compared to SUVmeanliver. SUVmaxliver and SUVpeakliver increased up to 31% and 15% with VOI size while SUVmeanliver remained unchanged with the lowest variability for the largest VOI size. Liver uptake metrics were not affected by VOI location. Compared to baseline, liver uptake metrics were 15-18% and 9-18% higher at interim and EoT PET, respectively. SUVliver decreased with larger total MTVs. SUVmaxliver and SUVpeakliver were affected by reconstruction protocol up to 62%. SUVmax and SUVpeak moved 22% and 11% upward between full and 25% count images. CONCLUSION SUVmeanliver was most robust against VOI size, location, reconstruction protocol and image noise level, and is thus the most reproducible metric for liver uptake. The commonly recommended 3 cm diameter spherical VOI-based SUVmeanliver values were only slightly more variable than those seen with larger VOI sizes and are sufficient for SUVmeanliver measurements in future studies. TRIAL REGISTRATION EudraCT: 2006-005,174-42, 01-08-2008.
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Affiliation(s)
- Gerben J C Zwezerijnen
- Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jakoba J Eertink
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Hematology, Amsterdam, The Netherlands
| | - Maria C Ferrández
- Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Sanne E Wiegers
- Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Coreline N Burggraaff
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Hematology, Amsterdam, The Netherlands
| | | | - Martijn W Heymans
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Methodology, Amsterdam, The Netherlands
| | - Henrica C W de Vet
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Methodology, Amsterdam, The Netherlands
| | - Josée M Zijlstra
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Hematology, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
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Yan Z, Zou Y, Deng Y, Liu S, Li K, Yang J, Guo X, He R, Zheng W, Xie H. Analysis of role of rat cerebral pericytes in cerebral vasospasm after subarachnoid hemorrhage and molecular mechanism of neurovascular injury. Bioengineered 2021; 12:3957-3967. [PMID: 34288796 PMCID: PMC8806491 DOI: 10.1080/21655979.2021.1947630] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 06/17/2021] [Indexed: 12/02/2022] Open
Abstract
To investigate mechanism of pericytes in the early stage of subarachnoid haemorrhage (SAH) and its associated microvascular spasm and neurovascular injury, 100 healthy 8-week-old Sprague-Dawley male rats were taken as subjects and divided into four groups: group A (sham operation, control group), group B (SAH operation group), group C (SAH operation group treated with scutellarin), and group D (SAH operation group treated with L-nitro-arginine). 72 hours after the operation, the rats were conducted assessment of neurological impairment, observation of microangiography, detection of blood-brain barrier permeability, observation of skull base haemorrhage, identification of pericyte culture, and measurement of blood nitric oxide. The results showed that neurological impairment score, degree of micro-vasoconstriction, and BBB permeability of group C were significantly better than those of group B and D (P<0.05), there was no significant difference between group C and group A (P>0.05). There were significantly fewer blood clots in the brain of group C, and the order of expression levels of α-smooth muscle actin (α-SMA) in perioperative cells of the four groups from highest to lowest were D, B, C, and A. Nitric oxide concentration inhibited expression of α-SMA in pericytes after SAH at both protein and mRNA levels. The detection results of nitric oxide in the blood of four groups of rats confirmed that pericyte phenotype conversion and actin α-SMA expression could be prevented by upregulation of nitric oxide in serum, so as to relieve pathological symptoms after SAH operation.
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Affiliation(s)
- Zhenxing Yan
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yang Zou
- Department of Neurology, Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yiting Deng
- Department of Neurology, Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Siqin Liu
- Department of Neurology, Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Kaifeng Li
- Department of Neurology, Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Juan Yang
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xihua Guo
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Rongni He
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Wenxia Zheng
- Department of Neurology, Shunde Hospital, Southern Medical University, Foshan, China
| | - Huifang Xie
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Yoon HY, Lee SH, Ha S, Ryu JS, Song JW. The Value of 18F-FDG PET/CT in Evaluating Disease Severity and Prognosis in Idiopathic Pulmonary Fibrosis Patients. J Korean Med Sci 2021; 36:e257. [PMID: 34697928 PMCID: PMC8546311 DOI: 10.3346/jkms.2021.36.e257] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 08/30/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Several parameters are useful for assessing disease severity in idiopathic pulmonary fibrosis (IPF); however, the role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) is not well-defined. We aimed to evaluate the value of 18F-FDG PET/CT for assessing disease severity and prognosis in IPF patients. METHODS Clinical data of 89 IPF patients (mean age: 68.1 years, male: 94%) who underwent 18F-FDG PET/CT for evaluation of lung nodules or cancer staging were retrospectively reviewed. Mean and maximal standardized uptake values (SUVmean, SUVmax, respectively) were measured in the fibrotic area. Adjusted SUV, including SUV ratio (SUVR, defined as SUVmax-to-liver SUVmean ratio), tissue fraction-corrected SUVmean (SUVmeanTF), and SUVR (SUVRTF), and tissue-to-blood ratio (SUVmax/SUVmean venous; TBRblood) were obtained. Death was defined as the primary outcome, and associations between other clinical parameters (lung function, exercise capacity, C-reactive protein [CRP] level) were also investigated. RESULTS All SUV parameters were inversely correlated with the forced vital capacity, diffusing capacity for carbon monoxide, and positively correlated with CRP level and the gender-age-physiology index. The SUVmean, SUVmax, and SUVmeanTF were associated with changes in lung function at six months. The SUVR (hazard ratio [HR], 1.738; 95% confidence interval [CI], 1.011-2.991), SUVRTF (HR, 1.441; 95% CI, 1.000-2.098), and TBRblood (HR, 1.377; 95% CI, 1.038-1.827) were significant predictors for mortality in patients with IPF in the univariate analysis, but not in the multivariate analysis. CONCLUSION 18F-FDG PET/CT may provide additional information on the disease severity and prognosis in IPF patients, and the SUVR may be superior to other SUV parameters.
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Affiliation(s)
- Hee-Young Yoon
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Suk Hyun Lee
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Division of Nuclear Medicine, Department of Radiology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Sejin Ha
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jin-Sook Ryu
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jin Woo Song
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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Meng J, Zhao H, Liu Y, Chen D, Hacker M, Wei Y, Li X, Zhang X, Kreissl MC. Assessment of cardiac tumors by 18F-FDG PET/CT imaging: Histological correlation and clinical outcomes. J Nucl Cardiol 2021; 28:2233-2243. [PMID: 31933156 DOI: 10.1007/s12350-019-02022-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 12/15/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND To evaluate the diagnostic value of 18F-FDG PET/CT in distinguishing benign versus malignant cardiac tumors as well as to assess its prognostic value. METHODS We analyzed 38 patients with cardiac tumors who underwent 18F-FDG PET/CT and followed for median 8.5 ± 12.5 months. SUVmax and TBRmax (maximum tumor-to-background ratio) by receiver-operating characteristic (ROC) curve analysis were used to obtain threshold for the diagnosis of malignancy as defined by histology (n = 38). Survival was assessed and correlated with the dignity of the lesions and PET parameters. RESULTS Optimal cut-off values indicating malignancy were as follows: SUVmax = 3.44, with 100% sensitivity and 92.9% specificity, and TBRmax = 1.55, with 95.8% sensitivity and 92.9% specificity. A significant difference of 18F-FDG uptake was observed between primary benign (n = 14, SUVmax = 2.35 ± 1.31, TBRmax = 1.05 ± 0.50) compared to primary malignant cardiac tumors (n = 11, SUVmax = 8.90 ± 4.23, TBRmax = 3.82 ± 1.44) as well as cardiac metastases and lymphoma (n = 13, SUVmax = 14.37 ± 8.05, TBRmax = 6.19 ± 3.38) (all P < .001). Survival rate was significantly lower in patients with malignant as compared to benign cardiac tumors (P < .05). Regression analysis revealed that the lesion dignity determined by the cut-off value of SUVmax was an independent predictor for death in patients with cardiac tumors (P < .05). CONCLUSION 18F-FDG uptake in cardiac tumors can differentiate between benign and malignant cardiac tumors and predicts survival.
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Affiliation(s)
- Jingjing Meng
- Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Honglei Zhao
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yongmin Liu
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Dong Chen
- Department of Pathology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Währinger Gürthel 18-20, Floor 3L, 1090, Vienna, Austria
| | - Yongxiang Wei
- Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Xiang Li
- Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Währinger Gürthel 18-20, Floor 3L, 1090, Vienna, Austria
| | - Xiaoli Zhang
- Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
| | - Michael C Kreissl
- Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
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9
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Sarikaya I, Schierz JH, Sarikaya A. Liver: glucose metabolism and 18F-fluorodeoxyglucose PET findings in normal parenchyma and diseases. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2021; 11:233-249. [PMID: 34513277 PMCID: PMC8414405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/14/2021] [Indexed: 06/13/2023]
Abstract
Liver has a complex and unique energy metabolism and plays a major role in glucose homeostasis. Liver is the main control center for glycogenesis, glycogenolysis, glycolysis and gluconeogenesis which are essential to provide energy for other tissues. Liver meets its own energy need from various sources which is mainly glucose in the fed state and fatty acids in the fasting state. In this review article, we will mainly describe the glucose metabolism of the liver, effect of various factors on 18F-fluorodeoxyglucose (FDG) activity/uptake in the normal liver and 18F- FDG positron emission tomography (PET) uptake patterns in various malignant and benign liver pathologies. Brief information on metabolomics profiling analyses in liver disorders will also be provided.
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Affiliation(s)
- Ismet Sarikaya
- Department of Nuclear Medicine, Kuwait University Faculty of MedicineSafat, Kuwait
| | | | - Ali Sarikaya
- Department of Nuclear Medicine, Trakya University Faculty of MedicineTurkey
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10
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Mohamadien NRA, Sayed MHM. Correlation between semiquantitative and volumetric 18F-FDG PET/computed tomography parameters and Ki-67 expression in breast cancer. Nucl Med Commun 2021; 42:656-664. [PMID: 33560720 DOI: 10.1097/mnm.0000000000001376] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To evaluate the relationship between semiquantitative and volumetric parameters on 18F-FDG PET/computed tomography (CT), including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), tumor to liver ratio (TLR) and tumor to mediastinum ratio (TMR) with the level of Ki-67 expression in breast cancer. PATIENT AND METHODS We retrospectively reviewed 105 female patients with newly diagnosed breast cancer who underwent baseline 18F-FDG PET/CT and had immunohistochemical staining to determine the level of Ki-67 expression. The following PET parameters were measured (SUVmax, SUVmean, MTV, TLG, TLR and TMR) and correlated with level of Ki-67 expression. RESULTS Significant moderate positive correlations were found between the PET parameters (primary SUVmax, SUVmean, TLG, TLR and TMR) and level of Ki-67 expression. The primary SUVmax had the highest correlation coefficient (r = 0.461) followed by TMR (r = 0.455) and P value of <0.001 for both. In ROC analysis, primary SUVmax had the largest area under the curve (0.806, P = 0.0001), with sensitivity of 76.5 % and specificity of 75% for prediction of high Ki-67 level. In univariate analysis, all PET parameters, patient age, tumor grade, molecular subtype, estrogen receptor and progesterone receptor status were significantly associated with Ki-67 level. In multivariate regression analysis, only tumor grade [odds ratio (OR) = 20.460, 95% confidence interval (CI): 11.360-29.559, P = <0.0001], molecular subtype (OR = -21.894, 95% CI: -37.921 to -5.866, P = 0.008), SUVmax (OR = 2.299, 95% CI: 0.703-3.895, P = 0.005) and TLR (OR = -4.908, 95% CI: -9.476 to -0.340, P = 0.035) were found to be the strongest independent predictor factors for the level of Ki-67 expression and hence proliferative activity of malignant cells in breast cancer. CONCLUSION The semiquantitative parameters and volumetric 18F-FDG PET/CT parameter, that is, TLG correlated well with proliferation marker Ki-67 in breast cancer. 18F-FDG PET/CT imaging can be used as a useful noninvasive diagnostic tool in imaging cellular proliferation and hence may substitute for in vitro testing of molecular markers in the diagnoses and staging of breast cancer.
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Affiliation(s)
- Nsreen R A Mohamadien
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine. Assiut University, Assiut, Egypt
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11
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He X, Caoili EM, Avram AM, Miller BS, Else T. 18F-FDG-PET/CT Evaluation of Indeterminate Adrenal Masses in Noncancer Patients. J Clin Endocrinol Metab 2021; 106:1448-1459. [PMID: 33524123 PMCID: PMC8063258 DOI: 10.1210/clinem/dgab005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Indexed: 01/17/2023]
Abstract
CONTEXT Adrenal tumors in noncancer patients are common. OBJECTIVE Evaluate performance of 18F-fluorodeoxyglucose positron emission tomography computed tomography (18F-FDG-PET/CT) in distinguishing between benign and malignant adrenal tumors. DESIGN Retrospective chart review 2010-2019. SETTING Academic institution. PATIENTS One hundred and seventeen noncancer patients, defined as having no history of cancer or with cancer in remission for ≥5 years, completed 18F-FDG-PET/CT to evaluate adrenal masses, with pathologic diagnoses or imaging follow-up (≥12 months). INTERVENTION 18F-FDG-PET/CT of 117 indeterminate adrenal masses. MAIN OUTCOME MEASURES Receiver operator characteristic curve of the ratios of adrenal lesion standardized uptake value (SUV)max to liver SUVmean and of adrenal lesion SUVmax to aortic arch blood pool SUVmean were constructed. RESULTS Seventy benign and 47 malignant masses (35 adrenocortical carcinomas [ACCs], 12 adrenal metastases) were identified. Malignant masses had higher median liver SUV and blood pool SUV ratios than benign masses (6.2 and 7.4 vs 1.4 and 2.0, P < .001). Median liver and blood pool SUV ratios of ACC (6.1 and 7.3, respectively) and metastases (6.7 and 7.7, respectively) were higher than those of than adenomas (1.4 and 2.2, P < .05 for all comparisons). Optimal liver SUV ratio to discern between benign and malignant masses was 2.5, yielding 85% sensitivity, 90% specificity, and 7 false negative results (including 3 ACCs). Optimal blood pool SUV ratio was 3.4, yielding 83% sensitivity, 90% specificity, and 8 false negative results (including 4 ACCs). CONCLUSION When used in conjunction with other clinical assessments, 18F-FDG-PET/CT can be a valuable tool in evaluating adrenal masses in noncancer patients.
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Affiliation(s)
- Xin He
- Department of Internal Medicine, Division of Metabolism, Endocrinology & Diabetes University of Michigan, Ann Arbor, MI, USA
| | - Elaine M Caoili
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Anca M Avram
- Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Barbra S Miller
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Tobias Else
- Department of Internal Medicine, Division of Metabolism, Endocrinology & Diabetes University of Michigan, Ann Arbor, MI, USA
- Correspondence: Tobias Else, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
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12
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Hartmann L, Bundschuh L, Zsótér N, Essler M, Bundschuh RA. Tumor heterogeneity for differentiation between liver tumors and normal liver tissue in 18F-FDG PET/CT. Nuklearmedizin 2021; 60:25-32. [PMID: 33142334 DOI: 10.1055/a-1270-5568] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
AIM Malignancies show higher spatial heterogeneity than normal tissue. We investigated, if textural parameters from FDG PET describing the heterogeneity function as tool to differentiate between tumor and normal liver tissue. METHODS FDG PET/CT scans of 80 patients with liver metastases and 80 patients with results negative upper abdominal organs were analyzed. Metastases and normal liver tissue were analyzed drawing up to three VOIs with a diameter of 25 mm in healthy liver tissue of the tumoral affected and results negative liver, whilst up to 3 metastases per patient were delineated. Within these VOIs 30 different textural parameters were calculated as well as SUV. The parameters were compared in terms of intra-patient and inter-patient variability (2-sided t test). ROC analysis was performed to analyze predictive power and cut-off values. RESULTS 28 textural parameters differentiated healthy and pathological tissue (p < 0.05) with high sensitivity and specificity. SUV showed ability to differentiate but with a lower significance. 15 textural parameters as well as SUV showed a significant variation between healthy tissues out of tumour infested and negative livers. Mean intra- and inter-patient variability of metastases were found comparable or lower for 6 of the textural features than the ones of SUV. They also showed good values of mean intra- and inter-patient variability of VOIs drawn in liver tissue of patients with metastases and of results negative ones. CONCLUSION Heterogeneity parameters assessed in FDG PET are promising to classify tissue and differentiate malignant lesions usable for more personalized treatment planning, therapy response evaluation and precise delineation of tumors for target volume determination as part of radiation therapy planning.
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Affiliation(s)
- Lynn Hartmann
- Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Bonn, Germany
| | - Lena Bundschuh
- Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Bonn, Germany
| | | | - Markus Essler
- Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Bonn, Germany
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13
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Solomon J, Aiosa N, Bradley D, Castro MA, Reza S, Bartos C, Sayre P, Lee JH, Sword J, Holbrook MR, Bennett RS, Hammoud DA, Johnson RF, Feuerstein I. Atlas-based liver segmentation for nonhuman primate research. Int J Comput Assist Radiol Surg 2020; 15:1631-1638. [PMID: 32648161 PMCID: PMC7502527 DOI: 10.1007/s11548-020-02225-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/30/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE Certain viral infectious diseases cause systemic damage and the liver is an important organ affected directly by the virus and/or the hosts' response to the virus. Medical imaging indicates that the liver damage is heterogenous, and therefore, quantification of these changes requires analysis of the entire organ. Delineating the liver in preclinical imaging studies is a time-consuming and difficult task that would benefit from automated liver segmentation. METHODS A nonhuman primate atlas-based liver segmentation method was developed to support quantitative image analysis of preclinical research. A set of 82 computed tomography (CT) scans of nonhuman primates with associated manual contours delineating the liver was generated from normal and abnormal livers. The proposed technique uses rigid and deformable registrations, a majority vote algorithm, and image post-processing operations to automate the liver segmentation process. This technique was evaluated using Dice similarity, Hausdorff distance measures, and Bland-Altman plots. RESULTS Automated segmentation results compare favorably with manual contouring, achieving a median Dice score of 0.91. Limits of agreement from Bland-Altman plots indicate that liver changes of 3 Hounsfield units (CT) and 0.4 SUVmean (positron emission tomography) are detectable using our automated method of segmentation, which are substantially less than changes observed in the host response to these viral infectious diseases. CONCLUSION The proposed atlas-based liver segmentation technique is generalizable to various sizes and species of nonhuman primates and facilitates preclinical infectious disease research studies. While the image analysis software used is commercially available and facilities with funding can access the software to perform similar nonhuman primate liver quantitative analyses, the approach can be implemented in open-source frameworks as there is nothing proprietary about these methods.
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Affiliation(s)
- Jeffrey Solomon
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD, USA.
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA.
| | - Nina Aiosa
- Center for Infectious Disease Imaging, Clinical Center, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Dara Bradley
- Center for Infectious Disease Imaging, Clinical Center, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Marcelo A Castro
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Syed Reza
- Center for Infectious Disease Imaging, Clinical Center, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Christopher Bartos
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Philip Sayre
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Ji Hyun Lee
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Jennifer Sword
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Michael R Holbrook
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Richard S Bennett
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Dima A Hammoud
- Center for Infectious Disease Imaging, Clinical Center, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Reed F Johnson
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
| | - Irwin Feuerstein
- Division of Clinical Research, Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA
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14
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Osborne DR, Acuff SN, Fang M, Weaver MD, Fu Y. Assessing and reducing PET radiotracer infiltration rates: a single center experience in injection quality monitoring methods and quality improvement. BMC Med Imaging 2020; 20:3. [PMID: 31924179 PMCID: PMC6954558 DOI: 10.1186/s12880-020-0408-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 12/31/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Successful injection of radiolabeled compounds is critical for positron emission tomography (PET) imaging. A poor quality injection limits the tracer availability in the body and can impact diagnostic results. In this study, we attempt to quantify our infiltration rates, develop an actionable quality improvement plan to reduce potentially compromised injections, and compare injection scoring to PET/CT imaging results. METHODS A commercially available system that uses external radiation detectors was used to monitor and score injection quality. This system compares the time activity curves of the bolus relative to a control reading in order to provide a score related to the quality of the injection. These injection scores were used to assess infiltration rates at our facility in order to develop and implement a quality improvement plan for our PET imaging center. Injection scores and PET imaging results were reviewed to determine correlations between image-based assessments of infiltration, such as liver SUVs, and injection scoring, as well as to gather infiltration reporting statistics by physicians. RESULTS A total of 1033 injections were monitored at our center. The phase 1 infiltration rate was 2.1%. In decision tree analysis, patients < 132.5lbs were associated with infiltrations. Additional analyses suggested patients > 127.5 lbs. with non-antecubital injections were associated with lower quality injections. Our phase 2 infiltration rate was 1.9%. Comparison of injection score to SUV showed no significant correlation and indicated that only 63% of suspected infiltrations were visible on PET/CT imaging. CONCLUSIONS Developing a quality improvement plan and monitoring PET injections can lead to reduced infiltration rates. No significant correlation between reference SUVs and injection score provides evidence that determination of infiltration based on PET images alone may be limited. Results also indicate that the number of infiltrated PET injections is under-reported.
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Affiliation(s)
- Dustin R Osborne
- University of Tennessee Graduate School of Medicine, 1924 Alcoa Highway, Knoxville, TN, 37920, USA.
| | - Shelley N Acuff
- University of Tennessee Graduate School of Medicine, 1924 Alcoa Highway, Knoxville, TN, 37920, USA
| | - Michael Fang
- University of Tennessee Graduate School of Medicine, 1924 Alcoa Highway, Knoxville, TN, 37920, USA
| | - Melissa D Weaver
- University of Tennessee Graduate School of Medicine, 1924 Alcoa Highway, Knoxville, TN, 37920, USA
| | - Yitong Fu
- University of Tennessee Graduate School of Medicine, 1924 Alcoa Highway, Knoxville, TN, 37920, USA
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