Comparison of F-18 FDG and C-11 Methionine PET/CT for the Evaluation of Recurrent Primary Brain Tumors

Tripathi, Madhavi; Sharma, Rajnish; Varshney, Raunak; Jaimini, Abhinav; Jain, Jyotika; Souza, Maria M. D.; Bal, Jaspriya; Pandey, Santosh Kumar; Kumar, Nitin; Mishra, Anil K.; Mondal, Anupam

doi:10.1097/rlu.0b013e318238f51a

Cited by 69 publications

(39 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…11 C-Methionine positron emission tomography/computed tomography (Met-PET/CT) has been increasingly used in oncologic imaging as a complementary method to 18 F-FDG PET/CT that is limited in the differentiation of a malignant lesion from coexisting peritumoral or post-therapeutic inflammatory change [11][12][13]. In particular, it has been known that methionine is one of amino acids comprising parathyroid hormone and that it is closely related with biosynthesis of parathyroid hormone [14,15].…”

Section: Introductionmentioning

confidence: 99%

Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy

Chun

Cheon

Paeng

et al. 2013

Nucl Med Mol Imaging

View full text Add to dashboard Cite

Purpose 11 C-Methionine PET/CT (Met-PET/CT) is a useful imaging method for detection of parathyroid adenoma; however, the reported detection rate has been variable. The current study was intended to investigate detection sensitivity and preoperative localization of parathyroid adenoma (PA) or parathyroid hyperplasia (PH) on Met-PET/CT compared with Tc-sestamibi (MIBI) scintigraphy in patients with primary hyperparathyroidism (HPT) or suspected PA. Methods Met-PET/CT and MIBI scintigraphy images were reviewed by two nuclear medicine physicians unaware of pathologic results. Detection sensitivities and preoperative localization of detected parathyroid tissues into five predefined segments were evaluated by visual assessment and semiquantitative analysis with ratio of standardized uptake values (SUVR) between parathyroid tissue and normal lung as reference. Linear regression analysis with SUVR and serum parathyroid hormone (sPTH) was performed for characterization of PA or PH. Predicted PTH (pPTH) was calculated and compared with sPTH in PH and PA. Each pPTH was obtained for a calculated SUVR by using linear regression model from the result of previous linear regression analysis between SUVR and sPTH. Results In 16 patients, detection sensitivities of Met-PET/CT and MIBI scintigraphy were 91.7 % (11/12) and 41.7 % (5/12) for PA and PH including both biopsy-confirmed and clinicallysuspected cases, and 100 % (8/8) and 50 % (4/8) for pathologically confirmed PA and PH cases only, respectively. Met-PET/CT showed higher performance than MIBI scintigraphy in localization of parathyroid tissues; correct localization rate was 87.5 % (7/8) on Met-PET/CT and 50 % (4/8) on MIBI scintigraphy. In semi-quantitative analysis, SUVR was linearly associated with sPTH by linear regression analysis (sPTH=39.53×SUVR−89.84, p=0.0383). There was a borderline significant difference in pPTH between PH and PA (35.1 vs 204.7±164.0, p=0.052), while there was no significant difference in sPTH between PH and PA (289 vs 230.4±160.4, p=0.305). Conclusions Met-PET/CT has a potential to be a useful diagnostic modality for preoperative detection and localization of parathyroid tissues with higher sensitivity than MIBI scintigraphy, and for characterization of PA or PH.

show abstract

Section: Introductionmentioning

confidence: 99%

Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy

Chun

Cheon

Paeng

et al. 2013

Nucl Med Mol Imaging

View full text Add to dashboard Cite

show abstract

“…These different criteria for visual assessment in 18 F-FDG studies may inevitably bring bias to our pooled data. Moreover, Tripathi et al 24 reported that even within the same 18 F-FDG study, interobserver agreement for visual interpretation was not good. The difficulty in discriminating the lesion and surrounding normal brain tissue in some patients and the subjectivity of visual assessment of the interpreter may together contribute to the low diagnostic ac- curacy and require us to explain the pooled results prudently when using qualitative evaluation in 18 F-FDG-PET.…”

Section: Discussionmentioning

confidence: 99%

“…We excluded each study in turn and checked how the new summary diagnostic values could be influenced by the removed one. We also performed direct comparison of the diagnostic values of 18 F-FDG and 11 C-MET PET from the 5 studies with the same population of the patients [22][23][24][25][26] to diminish the potential bias induced by pooling data from all the studies, though the data subset was smaller. Publication bias was tested by using the linear regression method and funnel plot of Deeks et al 40 A P value Ͻ .05 in this linear regression indicates potential publication bias.…”

Section: Discussionmentioning

confidence: 99%

“…The difficulty in discriminating the lesion and surrounding normal brain tissue in some patients and the subjectivity of visual assessment of the interpreter may together contribute to the low diagnostic ac- curacy and require us to explain the pooled results prudently when using qualitative evaluation in 18 F-FDG-PET. Quantitative assessments were adopted in four 18 F-FDG-PET studies 20,22,24,26 that used a lesion-to-normal tissue ratio or standard uptake value as the criterion and showed better sensitivity but worse specificity than qualitative assessment. However, this difference was not a statistically significant source of heterogeneity (P ϭ .09) in our analysis.…”

Section: Discussionmentioning

confidence: 99%

“…[22][23][24][25][26] The characteristics of the studies are summarized in On-line Tables 1 and 2. The quality of included studies was assessed on the basis of the Quality Assessment of Diagnostic Accuracy Studies (On-line Table 3). The overall quality of the included studies was considered acceptable for most of the items.…”

Section: Study Characteristics Quality and Publication Biasmentioning

confidence: 99%

See 2 more Smart Citations

A Meta-Analysis on the Diagnostic Performance of 18F-FDG and 11C-Methionine PET for Differentiating Brain Tumors

Zhao

Zhang

Wang

2013

American Journal of Neuroradiology

View full text Add to dashboard Cite

show abstract

Relationship of computed tomography perfusion and positron emission tomography to tumour progression in malignant glioma

Yeung

Yartsev

Lee

et al. 2014

J of Medical Radiation Sci

View full text Add to dashboard Cite

IntroductionThis study aimed to explore the potential for computed tomography (CT) perfusion and 18-Fluorodeoxyglucose positron emission tomography (FDG-PET) in predicting sites of future progressive tumour on a voxel-by-voxel basis after radiotherapy and chemotherapy.MethodsTen patients underwent pre-radiotherapy magnetic resonance (MR), FDG-PET and CT perfusion near the end of radiotherapy and repeated post-radiotherapy follow-up MR scans. The relationships between these images and tumour progression were assessed using logistic regression. Cross-validation with receiver operating characteristic (ROC) analysis was used to assess the value of these images in predicting sites of tumour progression.ResultsPre-radiotherapy MR-defined gross tumour; near-end-of-radiotherapy CT-defined enhancing lesion; CT perfusion blood flow (BF), blood volume (BV) and permeability-surface area (PS) product; FDG-PET standard uptake value (SUV); and SUV:BF showed significant associations with tumour progression on follow-up MR imaging (P < 0.0001). The mean sensitivity (±standard deviation), specificity and area under the ROC curve (AUC) of PS were 0.64 ± 0.15, 0.74 ± 0.07 and 0.72 ± 0.12 respectively. This mean AUC was higher than that of the pre-radiotherapy MR-defined gross tumour and near-end-of-radiotherapy CT-defined enhancing lesion (both AUCs = 0.6 ± 0.1, P ≤ 0.03). The multivariate model using BF, BV, PS and SUV had a mean AUC of 0.8 ± 0.1, but this was not significantly higher than the PS only model.ConclusionPS is the single best predictor of tumour progression when compared to other parameters, but voxel-based prediction based on logistic regression had modest sensitivity and specificity.

show abstract

Comparison of F-18 FDG and C-11 Methionine PET/CT for the Evaluation of Recurrent Primary Brain Tumors

Cited by 69 publications

References 20 publications

Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy

Detection and Characterization of Parathyroid Adenoma/Hyperplasia for Preoperative Localization: Comparison Between 11C-Methionine PET/CT and 99mTc-Sestamibi Scintigraphy

A Meta-Analysis on the Diagnostic Performance of 18F-FDG and 11C-Methionine PET for Differentiating Brain Tumors

Relationship of computed tomography perfusion and positron emission tomography to tumour progression in malignant glioma

Contact Info

Product

Resources

About