Diagnostic accuracy of visual analysis versus dual time-point imaging with 18F-FDG PET/CT for the characterization of indeterminate pulmonary nodules with low uptake

Grisanti, Fabiana; Zulueta, Javier; Rosales, Juan J.; Morales, María; Sancho, Lidia; Lozano, María Dolores; Mesa‐Guzmán, Miguel; García-Velloso, María José

doi:10.1016/j.remnie.2020.05.002

Cited by 8 publications

(14 citation statements)

References 27 publications

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“…Excluding the brain and the heart, surprisingly little data have been published on the TACs of FDG in normal tissues and tumours with the exception of some dual-time point studies [ 20 – 25 ]. With D-WB PET, TACs of tracer in all tissues within the entire body during the 60-min scan are available as opposed to the regular static PET scans.…”

Section: Discussionmentioning

confidence: 99%

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

et al. 2022

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Background Dynamic whole-body (D-WB) FDG PET/CT is a recently developed technique that allows direct reconstruction of multiparametric images of metabolic rate of FDG uptake (MRFDG) and “free” FDG (DVFDG). Multiparametric images have a markedly different appearance than the conventional SUV images obtained by static PET imaging, and normal values of MRFDG and DVFDG in frequently used reference tissues and organs are lacking. The aim of this study was therefore to: (1) provide an overview of normal MRFDG and DVFDG values and range of variation in organs and tissues; (2) analyse organ time-activity curves (TACs); (3) validate the accuracy of directly reconstructed MRFDG tissue values versus manually calculated Ki (and MRFDG) values; and (4) explore correlations between demographics, blood glucose levels and MRFDG values. D-WB data from 126 prospectively recruited patients (100 without diabetes and 26 with diabetes) were retrospectively analysed. Participants were scanned using a 70-min multiparametric PET acquisition protocol on a Siemens Biograph Vision 600 PET/CT scanner. 13 regions (bone, brain grey and white matter, colon, heart, kidney, liver, lung, skeletal muscle of the back and thigh, pancreas, spleen, and stomach) as well as representative pathological findings were manually delineated, and values of static PET (SUV), D-WB PET (Ki, MRFDG and DVFDG) and individual TACs were extracted. Multiparametric values were compared with manual TAC-based calculations of Ki and MRFDG, and correlations with blood glucose, age, weight, BMI, and injected tracer dose were explored. Results Tissue and organ MRFDG values showed little variation, comparable to corresponding SUV variation. All regional TACs were in line with previously published FDG kinetics, and the multiparametric metrics correlated well with manual TAC-based calculations (r2 = 0.97, p < 0.0001). No correlations were observed between glucose levels and MRFDG in tissues known not to be substrate driven, while tissues with substrate driven glucose uptake had significantly correlated glucose levels and MRFDG values. Conclusion The multiparametric D-WB PET scan protocol provides normal MRFDG values with little inter-subject variation and in agreement with manual TAC-based calculations and literature values. The technique therefore facilitates both accurate clinical reports and simpler acquisition of quantitative estimates of whole-body tissue glucose metabolism.

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Section: Discussionmentioning

confidence: 99%

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

et al. 2022

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“…We believe that in addition to metastasis, microscopic nodules in the lungs of patients with osteosarcoma also have various conditions such as in ammation, hemorrhage, and lymph node in ammation. Further data support or improved imaging techniques such as MRI/PET or PET/CT [21,22], it is possible to distinguish small metastatic nodules from benign nodules.…”

Section: Discussionmentioning

confidence: 86%

Application of artificial intelligence analysis software to assess pulmonary small nodules in patients with osteosarcoma

Shi

et al. 2022

Preprint

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Objective To explore the clinical application value of artificial intelligence analysis software in the assessment of pulmonary small nodules in patients with osteosarcoma. Methods From March 2011 to February 2022, 138 patients with osteosarcoma diagnosed in the Department of Oncology, Hangzhou Third People's Hospital underwent chest thin-section CT and pulmonary nodule screening based on artificial intelligence analysis software.The composition, quantity, distribution and dynamic changes of pulmonary nodules were analyzed to determine whether they were metastases. Results 849 CT scans were performed in 138 patients with osteosarcoma. Artificial intelligence software detected 3989 pulmonary nodules, of which 3069 (76.9%) were small nodules with a diameter of ≤ 5 mm, of which 1749 (57.0%) were solid nodules, 650 (21.2%) were calcified nodules. 127 cases (92%,127/138) had small nodules, 23 cases (18.1%, 23/127) had dynamic changes in small nodules, 16 cases (69.5%, 16/23) were diagnosed with lung metastases, There was no significant difference in the location of pulmonary distribution between the diameter ≤ 5 mm and the diameter > 5 mm nodules. Conclusion Artificial intelligence diagnostic technology helps to intelligently evaluate the size, number and density of small pulmonary nodules in patients with osteosarcoma, and dynamic monitoring helps to characterize small pulmonary nodules.

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“…Some studies have a very short time interval between early imaging and delayed imaging (about 30–45 minutes), [ 17 , 18 ] while others had a longer interval (120–217 minutes). [ 7 , 19 , 20 ] In addition, there were also significant difference in early imaging time of some studies, and the early imaging time and delayed time of different studies might overlap. [ 21 , 22 ] The difference of imaging time might be the main reasons for the inconsistent results.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Although the use of SUVmax or RI alone will increase the sensitivity of diagnosis, it will also reduce the specificity. [19,25] And the SUVmax > 2.5 of delayed imaging combined with RI was considered to be a better evaluation standard, which can further improve the specificity of diagnosis. [26] Because the benign lesions of prostate (such as prostatitis) may also have RI > 0%, and Mortensen MA et al [27] showed that the average RI of PCa after delayed imaging was 32%.…”

Section: Discussionmentioning

confidence: 99%

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Comparison of 18F-FDG PET/CT imaging with different dual time 18F-FDG PET/CT with forced diuresis in clinical diagnosis of prostate cancer

Huang

et al. 2023

Medicine

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The aim of this study was to compare the capability of different dual time (interval 1, 2, 3, or 4 hours) 18F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography/computed tomography (PET/CT) with forced diuresis to diagnose prostate cancer (PCa). A retrospective review of 273 male patients from March 2009 to June 2019, with any focal 18 F-FDG uptake in the prostate gland during PET/CT imaging. Early PET/CT imaging was performed 60 minutes after FDG injection. Delayed imaging was performed 1 to 4 hours after diuretic injection. For prostate lesions with increased 18 F-FDG uptake, a spheroid-shaped volume of interest was drawn, including the entire lesion, and the maximum standard uptake value (SUVmax) of the lesion was measured. The SUVmax > 2.5 after delayed imaging and the retention index > 15% were used as the diagnostic criteria for PET/CT in the diagnosis of PCa. Otherwise, it was diagnosed as the benign prostate disease. The final diagnosis was based on histological examination, associated imaging studies, or/and clinical follow-up. The results of inter-group comparison showed that the SUVmax of 1-, 2-, 3-, and 4-hour delayed imaging after diuresis in PCa group was significantly higher than that in control group ( P < .05), but there was no statistical difference in SUVmax of early imaging between PCa and control group ( P > .05). And the retention index of PCa group that delayed 1, 2, 3, and 4 hours after diuresis were significantly higher than those of control group, respectively ( P < .05). The diagnostic sensitivity of imaging delayed 1, 2, 3, and 4 hours after diuresis was 68.8%, 81.2%, 85.7 %, and 71.4%, the specificity was 52.5%, 74.5%, 70.6%, and 65.0%, and the accuracy was respectively 58.2%, 77.4%, 76.4%, and 67.6%, the positive predictive values were 44.0%, 68.9%, 64.3%, and 58.8%, and the negative predictive value were 75.6%, 85.4%, 88.9%, and 76.5%, respectively. 18 F-FDG PET/CT imaging as an imaging tool lacks certain specificity in the diagnosis of PCa, regardless of whether the imaging is delayed. The main advantage of delayed diuretic imaging in PCa is that it can significantly improve the sensitivity, especially the diagnostic effect delayed 2 hours after diuresis is better.

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Diagnostic accuracy of visual analysis versus dual time-point imaging with 18F-FDG PET/CT for the characterization of indeterminate pulmonary nodules with low uptake

Cited by 8 publications

References 27 publications

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

Application of artificial intelligence analysis software to assess pulmonary small nodules in patients with osteosarcoma

Comparison of 18F-FDG PET/CT imaging with different dual time 18F-FDG PET/CT with forced diuresis in clinical diagnosis of prostate cancer

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