# Differentiation of Brain Tumor Recurrence from Post-Radiotherapy Necrosis with 11C-Methionine PET: Visual Assessment versus Quantitative Assessment

**Authors:** Ryogo Minamimoto, Toshiyuki Saginoya, Chisato Kondo, Noriaki Tomura, Kimiteru Ito, Yuka Matsuo, Shigeo Matsunaga, Takashi Shuto, Atsuya Akabane, Yoko Miyata, Shuji Sakai, Kazuo Kubota

PMC · DOI: 10.1371/journal.pone.0132515 · PLoS ONE · 2015-07-13

## TL;DR

This study compares visual and quantitative methods for using MET-PET to distinguish brain tumor recurrence from post-radiotherapy necrosis, finding both approaches similarly effective.

## Contribution

The study provides a direct comparison of visual and quantitative MET-PET assessment for brain tumor recurrence diagnosis.

## Key findings

- Visual assessment using the contralateral cerebellar cortex showed the highest interobserver and intraobserver agreement.
- For brain metastasis, visual assessment had an AUC of 0.85, comparable to the best quantitative methods.
- No significant difference was found between visual and quantitative assessments for gliomas.

## Abstract

The aim of this multi-center study was to assess the diagnostic capability of visual assessment in L-methyl-11C-methionine positron emission tomography (MET-PET) for differentiating a recurrent brain tumor from radiation-induced necrosis after radiotherapy, and to compare it to the accuracy of quantitative analysis.

A total of 73 brain lesions (glioma: 31, brain metastasis: 42) in 70 patients who underwent MET-PET were included in this study. Visual analysis was performed by comparison of MET uptake in the brain lesion with MET uptake in one of four regions (around the lesion, contralateral frontal lobe, contralateral area, and contralateral cerebellar cortex). The concordance rate and logistic regression analysis were used to evaluate the diagnostic ability of visual assessment. Receiver-operating characteristic curve analysis was used to compare visual assessment with quantitative assessment based on the lesion-to-normal (L/N) ratio of MET uptake.

Interobserver and intraobserver κ-values were highest at 0.657 and 0.714, respectively, when assessing MET uptake in the lesion compared to that in the contralateral cerebellar cortex. Logistic regression analysis showed that assessing MET uptake in the contralateral cerebellar cortex with brain metastasis was significantly related to the final result. The highest area under the receiver-operating characteristic curve (AUC) with visual assessment for brain metastasis was 0.85, showing no statistically significant difference with L/Nmax of the contralateral brain (AUC = 0.89) or with L/Nmean of the contralateral cerebellar cortex (AUC = 0.89), which were the areas that were the highest in the quantitative assessment. For evaluation of gliomas, no specific candidate was confirmed among the four areas used in visual assessment, and no significant difference was seen between visual assessment and quantitative assessment.

The visual assessment showed no significant difference from quantitative assessment of MET-PET with a relevant cut-off value for the differentiation of recurrent brain tumors from radiation-induced necrosis.

## Linked entities

- **Diseases:** brain tumor (MONDO:0021211), glioma (MONDO:0021042)

## Full-text entities

- **Genes:** SLTM (SAFB like transcription modulator) [NCBI Gene 79811] {aka Met}
- **Diseases:** Brain tumors (MESH:D001932), colon (MESH:D003108), sarcoma (MESH:D012509), CNS tumors (MESH:D016543), Brain metastasis (MESH:D009362), glioblastoma (MESH:D005909), Necrosis (MESH:D009336), nodular lesion (MESH:D020518), PET cancer (MESH:D009369), edema (MESH:D004487), squamous cell carcinoma (MESH:D002294), metastatic (MESH:D000092182), brain edema (MESH:D001929), GBM (MESH:D005910), lung (MESH:D008171), lesion (MESH:D009059), radiation necrosis (MESH:D011832), brain lesion (MESH:D001927), lung carcinoma (MESH:D008175), anaplastic astrocytoma (MESH:D001254), radiation-induced necrosis (MESH:D009381),  (MESH:D009364)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC4500444/full.md

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Source: https://tomesphere.com/paper/PMC4500444