Common malignant brain tumors

Purandare, Nilendu; Puranik, Ameya; Shah, Sneha; Agrawal, Archi; Gupta, Tejpal; Moiyadi, Aliasgar; Shetty, Prakash; Shridhar, Epari; Jalali, Rakesh; Rangarajan, Venkatesh

doi:10.1097/mnm.0000000000000753

Cited by 32 publications

(18 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…18 F-FDG-PET has proven to be a reliable clinical diagnostic tool for CNS lymphoma and GBM. Previous studies on the differentiation of CNS lymphoma from GBM mainly utilized quantitative parameters such as SUVmax or the T/N ratio and reached an AUC of approximately 0.90(Yamaguchi et al, 2014; Purandare et al, 2017; Zhou et al, 2018). Our study demonstrated a similar result, with AUC of SUVmax reached 0.943 and AUC of the T/N ratio reached 0.870 using a single feature threshold-based simple classifier (consistent with previous studies).…”

Section: Discussionmentioning

confidence: 99%

“…CNS lymphomas usually have a relatively high tumor cell density and increased glucose metabolism, resulting in an increased standardized uptake value (SUV)(Kawai et al, 2005; Kasenda et al, 2013; El-Galaly et al, 2018). Although few studies have investigated the role of 18 F-FDG-PET for distinguishing CNS lymphoma from GBM(Yamaguchi et al, 2014; Purandare et al, 2017; Zhou et al, 2018), the parameters involved in these studies have been mostly restricted to specific features, such as the maximum SUV (SUVmax) and tumor-to-normal contralateral cortex activity (T/N) ratio, which can hardly display the characteristics of the whole tumor.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma

Kong

Jiang

Zhu

et al. 2019

NeuroImage: Clinical

View full text Add to dashboard Cite

The differential diagnosis of primary central nervous system lymphoma from glioblastoma multiforme (GBM) is essential due to the difference in treatment strategies. This study retrospectively reviewed 77 patients (24 with lymphoma and 53 with GBM) to identify the stable and distinguishable characteristics of lymphoma and GBM in 18 F-fluorodeocxyglucose (FDG) positron emission tomography (PET) images using a radiomics approach. Three groups of maps, namely, a standardized uptake value (SUV) map, an SUV map calibrated with the normal contralateral cortex (ncc) activity (SUV/ncc map), and an SUV map calibrated with the normal brain mean (nbm) activity (SUV/nbm map), were generated, and a total of 107 radiomics features were extracted from each SUV map. The margins of the ROI were adjusted to assess the stability of the features, and the area under the curve (AUC) of the receiver operating characteristic curve of each feature was compared with the SUVmax to evaluate the distinguishability of the features. Nighty-five radiomics features from the SUV map were significantly different between lymphoma and GBM, 46 features were numeric stable after marginal adjustment, and 31 features displayed better performance than SUVmax. Features extracted from the SUV map demonstrated higher AUCs than features from the further calibrated maps. Tumors with solid metabolic patterns were also separately evaluated and revealed similar results. Thirteen radiomics features that were stable and distinguishable than SUVmax in every circumstance were selected to distinguish lymphoma from glioblastoma, and they suggested that lymphoma has a higher SUV in most interval segments and is more mathematically heterogeneous than GBM. This study suggested that 18 F-FDG-PET-based radiomics is a reliable noninvasive method to distinguish lymphoma and GBM.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma

Kong

Jiang

Zhu

et al. 2019

NeuroImage: Clinical

View full text Add to dashboard Cite

show abstract

“…The physiological SUVs of lung tissue were 0.37–1.29, similar to those previously reported ( 33 – 35 ). The numerical value is associated with the differentiation of tumor cells, in addition to the activity and the degree of malignancy ( 36 – 38 ). In order to minimize variation and ensure reproducibility, sites where increased SUV value was considered as physiological uptake were excluded and the maximal pixel activity in the ROI was the SUV max ( 34 , 35 ).…”

Section: Methodsmentioning

confidence: 99%

<sup>18</sup>F‑FDG PET/CT SUV<sub>max</sub> and serum CEA levels as predictors for EGFR mutation state in Chinese patients with non‑small cell lung cancer

et al. 2020

View full text Add to dashboard Cite

The epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) contribute to an increased response rate, compared with chemotherapy, in patients with inhibitor-sensitive EGFR mutations. The present study evaluated the association between the maximum standardized uptake value (SUV max ) of 18 F-fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT), as well as serum carcinoembryonic antigen (CEA) levels and EGFR mutations prior to treatment, in patients with non-small cell lung cancer (NSCLC). Patients with histologically confirmed NSCLC (n=167), who underwent an 18 F-FDG PET/CT scan, EGFR mutation analysis and a serum CEA test participated in the present study. Multivariate logistic regression analysis was used to analyze predictors of EGFR mutations. Receiver-operating characteristic (ROC) curve analysis was performed to determine the efficient cut-off value. Survival rate analysis was evaluated according to SUV max and EGFR mutation status. A decreased SUV max and an increased CEA level was observed in patients with EGFR-mutations, compared with patients with wild-type primary lesions and metastatic lymph nodes. The exon 19 EGFR mutation was associated with increased SUV max , compared with the exon 21 L858R mutation. The ROC analysis indicated that an 18 F-FDG PET/CT uptake SUV max >11.5 may be a predictor of the wild-type EGFR genotype and increased CEA levels (CEA >9.4 ng/ml) were associated with EGFR mutations. Furthermore, patients with no smoking history, low SUV max of the primary tumor, metastatic lymph nodes and a high CEA level were significantly associated with EGFR mutation status. The results of the present study indicated that patients with advanced NSCLC, particularly Chinese patients, with decreased SUV max and increased CEA levels are associated with EGFR mutations, which may serve as predictors for the EGFR-TKI therapeutic response.

show abstract

“…showed no difference in SUV max values for HGG and BM whereas SUV max of 15.5 showed sensitivity and specificity of 84% and 80% for diagnosing PCNSL. [18] Two similar studies have shown the similar cutoff for detecting PCNSL, but false positives have been reported, owing to lack of specificity. [1920] The need of specific tracer is important since not all lesions are amenable to biopsy, and treatment plans are based on imaging diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Utility of FET-PET in detecting high-grade gliomas presenting with equivocal MR imaging features

et al. 2019

Self Cite

View full text Add to dashboard Cite

High-grade gliomas, metastases, and primary central nervous system lymphoma (PCNSL) are common high-grade brain lesions, which may have overlapping features on magnetic resonance (MR) imaging. Our objective was to assess the utility of 18-fluoride-fluoro-ethyl-tyrosine positron emission tomography (FET-PET) in reliably differentiating between these lesions, by studying their metabolic characteristics. Patients with high-grade brain lesions suspicious for glioma, with overlapping features for metastases and PCNSL were referred for FET-PET by Neuroradiologists from Multidisciplinary Neuro-Oncology Joint Clinic. Tumor-to-contralateral white mater ratio (T/Wm) at 5 and 20 min was derived and compared to histopathology. Receiver operating characteristic curve analysis was used to find the optimal T/Wm cutoff to differentiate between the tumor types. T/Wm was higher for glial tumors compared to nonglial tumors (metastases, PCNSL, tuberculoma, and anaplastic meningioma). A cutoff of 1.9 was derived to reliably diagnose a tumor of glial origin with a sensitivity and specificity of 93.8% and 91%, respectively. FET-PET can be used to diagnose glial tumors presenting as high-grade brain lesions when MR findings show overlapping features for other common high-grade lesions.

show abstract

Common malignant brain tumors

Cited by 32 publications

References 14 publications

18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma

18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma

<sup>18</sup>F‑FDG PET/CT SUV<sub>max</sub> and serum CEA levels as predictors for EGFR mutation state in Chinese patients with non‑small cell lung cancer

Utility of FET-PET in detecting high-grade gliomas presenting with equivocal MR imaging features

Contact Info

Product

Resources

About