Introduction

Hypoxia, i.e., lack of oxygen, causes poor prognoses in patients with malignant tumors [1,2,3]. Clinically, there is strong evidence that the poor prognoses are due to the effects of hypoxia on therapy resistance and malignant progression [4]. 18F-fluoromisonidazole (18F-FMISO) positron emission tomography (PET) is a promising and noninvasive method for in vivo hypoxia imaging [5,6,7,8]. Valk et al. first evaluated the 18F-FMISO uptake in glioma in 1992 [9], and subsequent reports demonstrated the usefulness of 18F-FMISO for the assessment of glioma differentiation and prognosis [8, 10,11,12,13,14,15,16,17,18].

Glioblastoma (GBM), which is classified among gliomas as World Health Organization (WHO) grade IV [19, 20], is the most malignant glioma, requiring multidisciplinary treatment. Histopathologically, GBM is characterized by the presence of palisading necrosis and hyperplastic blood vessels. We have demonstrated that 18F-FMISO PET has the potential to distinguish GBM from lower-grade gliomas [21]. We also observed a strong relationship between the presence of necrosis and 18F-FMISO uptake, regardless of the pathological subtype [22]. However, other studies have reported that 18F-FMISO uptake was observed in not only GBMs but also lower-grade gliomas [12, 17, 23]. This discrepancy might be due to the difference in the scan time point following 18F-FMISO administration. The scan time used in the literature for imaging hypoxia in brain tumors is variable, ranging from 120 (or even less in some papers) to 240 min post-injection. The lack of standardization has led to inconsistency of data. Therefore, there is a need to establish the precise scanning time which most accurately reflects hypoxia. Both 2-h and 4-h scanning protocols have advantages and disadvantages. In the present retrospective analysis, we focused on the ability of 18F-FMISO PET to discriminate between GBM and non-GBM at 2 h and 4 h after a single injection of 18F-FMISO and directly compared the images taken at the two scanning time points to determine their ability to visualize hypoxia.

Materials and methods

Study subjects

The Ethics Committee of Hokkaido University Hospital approved this retrospective study (IRB No. 015-0159). We analyzed the cases of the patients who had brain parenchymal tumor-like lesions with a maximum diameter of ≥ 2 cm on magnetic resonance (MR) imaging from September 2014 to July 2015 at our hospital. This study included both patients who were at initial diagnosis and those being evaluated for lesion recurrence. Only patients who could undergo two PET scans at 2 h and 4 h after an injection of 18F-FMISO were included in this study.

Image acquisition and reconstruction

For each patient, 18F-FMISO was injected once, and PET images were acquired twice at 2 and 4 h after the injection (Fig. 1). All clinical PET images were acquired using a single scanner (Gemini GXL 16 PET/CT; Hitachi Medical, Tokyo). The injected dosage of 18F-FMISO was 395.0 (interquartile range [IQR] 388.0–410.0) MBq. The duration of each emission scan was 20 min. X-ray CT scanning was performed before the emission scanning for attenuation correction. The images were reconstructed by a line of response-row action maximum-likelihood algorithms with the following settings: number of iterations, 2; relaxation parameter, 0.2813; blob radius, 3.234 pixels; alpha, 9.5088; and increment, 2.0375. The image matrix size was 128 × 128 pixels for the 256-mm field of view (FOV), and the voxel size was 2 mm3. The reconstructed images were not additionally post-filtered.

Fig. 1
figure 1

Study protocol. PET images were acquired twice, at 2 and 4 h after a single 18F-FMISO injection

Image analysis

The PET images were three-dimensionally coregistered to T1-weighted MR images before and after the contrast medium injection with the use of the SPM8 software package [10]. An experienced nuclear medicine physician (K.K.) visually validated that there was no mis-coregistration. The 18F-FMISO radioactivity concentrations in the background brain tissues and in the lesions were then evaluated both visually and semi-quantitatively. For the visual analysis, two readers who were experienced in nuclear medicine (K.K. and O.M.), and who were masked to the patients’ clinical information, imaging reports, and the other reader’s interpretation, independently reviewed the 18F-FMISO PET/CT images. A third experienced reader (K.H.) who was also masked to the clinical information and image interpretations was included to resolve any differences in interpretation by the two primary readers, by consensus review. The information as to whether the patients had undergone treatments before the PET scan was also masked, but the readers could guess it from MRI data. A difference in pattern definition among the three observers was settled by consensus. For the semi-quantitative analysis, an experienced nuclear medicine physician (K.K.) placed regions of interest (ROIs) in each lesion by referring to the MR images, while blinded to the pathological diagnosis.

The gray-to-white matter contrast (GWC) in the background brain tissue was evaluated first. The GWC was defined as positive when the uptake in the gray matter was higher than that in the white matter. The GWC was defined as negative when the uptake in the gray matter was equal to that in the white matter (Fig. 2). In the semi-quantitative assessment, the radioactivity concentrations in the background brain tissues were obtained as follows: circular 10-mm-diameter ROIs were placed on the cerebral gray matter, the cerebral white matter, and the cerebellar cortex. A total of 30 ROIs (5 per side × 2 sides per slice × 3 slices) were placed on each region [21]. The standardized uptake values (SUVs) were calculated from all of the voxels within these ROIs. The SUV was defined as [tissue radioactivity concentration (Bq/ml)] × [body weight (g)]/[injected radioactivity (Bq)].

Fig. 2
figure 2

Representative cases of glioblastoma (a) and grade III glioma (b). a The 18F-FMISO uptake of the tumor at the left parietal lobe was classified as negative at 2 h but positive at 4 h. At 2 and 4 h, the SUVmax values were 1.66 and 1.74 and the TNR values were 1.40 and 1.67, respectively. The gray-to-white matter contrast (GWC) in the background brain tissue was positive at 2 h but negative at 4 h. b At 2 and 4 h, the 18F-FMISO uptake of the tumor at the right temporal lobe was classified as positive and negative, respectively; the SUVmax values were 1.43 and 1.12, and the TNRs were 1.20 and 0.99. The GWC was positive at 2 h but negative at 4 h

For the assessment of the tumor lesions, the 18F-FMISO uptakes were visually categorized into two groups. The uptake was considered positive when the lesion uptake was higher and negative when the lesion uptake was equal to or lower than that of the surrounding brain tissues (Fig. 2).

For an additional assessment, 12 patients with histologically confirmed glioma were evaluated visually and quantitatively to compare the grade IV gliomas (i.e., the GBMs) with the gliomas that were ≤ grade III (the non-GBMs). For the quantitative assessment of the tumor lesions, we calculated the maximum SUV (SUVmax) and the tumor-to-normal ratio (TNR) as in the previous study [21]. Minimum and mean SUVs were not used because they are easily affected by the ROI size and position. The SUVmax was the SUV of the voxel having the highest SUV in the entire lesion. The TNR was defined as the SUVmax divided by the reference value, which was derived from the cerebellar ROIs [10].

Surgical procedures

The detailed procedures of our subjects’ PET-guided surgeries were described previously [24]. In brief, all surgical operations were performed under a neuronavigation system (StealthStation™ Treon® or S7®; Medtronic, Minneapolis, MN). Before each surgery, the 18F-FMISO uptake lesions were superimposed onto MR T1-weighted images with gadolinium enhancement. When a patient underwent a biopsy, the biopsy target was set in the 18F-FMISO uptake lesion under the navigation system if the 18F-FMISO uptake lesion was identified. When a patient underwent a maximum tumor resection, the 18F-FMISO accumulation areas were contained in the area of the resection as much as possible.

Each pathological diagnosis was determined by agreement between the two experienced neuropathologists based on the 2007 WHO classification [19, 20].

Statistical analyses

All parametric variables are presented as medians with the IQR. Categorical variables are presented as absolute numbers with percentages. A p value of < 0.05 was considered significant. The Wilcoxon signed-rank test was used for intergroup comparisons. Fisher’s exact test was used to compare discrete data. The diagnostic performances of TNR and the identification of the optimal cutoff points for the differentiation between GBM and non-GBM were evaluated using receiver operating characteristic (ROC) curves and the assessment of the area under the ROC curve (AUC). Statistical calculations were carried out using JMP Pro ver. 14 software (SAS, Cary, NC).

Results

Patients

The cases of 23 patients were retrospectively analyzed: 10 males, 13 females; age 61 years (IQR 47–68 years) (Table 1). The first and second scans were initiated at 114 min (IQR 100–121 min) and 226 min (IQR 209–237 min) after the injection, respectively. Among the 23 patients, 14 underwent surgery that included either biopsy or resection after 18F-FMISO PET, and these 14 patients were pathologically confirmed to have gliomas (n = 12), glial proliferation (n = 1), or a tumefactive demyelinating lesion (n = 1). The interval between 18F-FMISO PET and the surgical procedure was 8 days (IQR 5–14 days).

Table 1 Patient characteristics

Of the remaining 9 patients, 5 did not undergo surgery but were strongly suspected of having recurrent glioma (GBM, n = 2; anaplastic oligodendroglioma, n = 2; oligodendroglioma, n = 1) based on previous pathological diagnoses. One patient was clinically diagnosed as having a tumefactive demyelinating lesion, 2 patients were clinically diagnosed with metastatic brain tumors (origins: breast and renal cancer), and the diagnosis of the remaining patient was unknown because he was transferred to another hospital.

Gray-to-white matter contrast of background brain tissue

In the visual assessment, all 23 cases showed positive GWC at 2 h, whereas only five patients showed positive GWC (21.7%) at 4 h (p < 0.0001).

In our quantitative analysis, the SUVmean in the cerebral gray matter was 1.23 (IQR 1.10–1.32) at 2 h, and the SUVmean significantly decreased to 1.04 (IQR 0.95–1.16) at 4 h (p < 0.0001). The SUVmean values in the cerebral white matter (1.04, IQR 0.95–1.16 vs. 1.02, IQR 0.93–1.13, p = 0.01) and in the cerebellar cortex (1.30, IQR 1.23–1.47 vs. 1.17, IQR 1.12–1.35, p < 0.0001) and the gray-to-white matter ratio (1.17, IQR 1.14–1.19 vs. 1.09, IQR 1.07–1.10, p < 0.0001) were also significantly decreased from 2 to 4 h (Fig. 3).

Fig. 3
figure 3

Quantitative results of normal brain tissues. The SUVmean values of cerebral gray matter (a), cerebral white matter (b), cerebellar cortex (c), and gray-to-white matter ratio (d) were significantly decreased at 4 h compared with 2 h

Lesion uptake (all patients)

At 2 h after the injection of 18F-FMISO, there were 4 lesions with negative uptake and 19 lesions with positive uptake. Between 2 h and 4 h, the visual scores were changed in 9 patients (39.1%): 3 patients showed an increase and 6 patients a decrease in the visual scores. In the remaining 14 patients, the scores were unchanged. Therefore, 7 and 16 lesions were scored as showing low and high uptake at 4 h, respectively.

Tumor lesion uptake of histologically confirmed glioma

Histological diagnosis of glioma was made in 7 GBM and 5 non-GBM patients (Table 2). In the visual assessment of images obtained at 2 h, 6 of the 7 GBM patients showed positive uptake and the remaining patient showed negative uptake. In contrast, at 4 h, there were 7 patients with positive uptake and no lesion with negative uptake. Regarding the non-GBMs, 5 patients showed positive uptake at 2 h, and all 5 of these cases showed negative uptake at 4 h. The sensitivity, specificity, and accuracy for diagnosing GBMs were 100%, 100%, and 100% for 4 h, respectively, which were all superior to the corresponding values at 2 h: 85.8%, 0.0%, and 50.0%.

Table 2 Characteristics of the 12 patients with histologically diagnosed glioma

In our semi-quantitative evaluation, we observed that the SUVmax of the GBMs increased significantly between 2 and 4 h (2.20, IQR 1.67–3.32 vs. 2.65, IQR 1.74–4.41, p = 0.016), and the TNR also increased significantly between 2 and 4 h (1.75, IQR 1.40–2.38 vs. 2.35, IQR 1.67–3.60, p = 0.016). Note that all of the GBM cases showed increasing SUVmax values. In contrast, the non-GBMs showed no significant difference in either index between 2 and 4 h (SUVmax: 1.43, IQR 1.30–1.65 vs. 1.36, IQR 1.14–1.47, p = 0.06; TNR: 1.16, IQR 1.00–1.27 vs. 1.06, IQR 0.99–1.30, p = 0.31) (Fig. 4).

Fig. 4
figure 4

The difference in the tracer uptake between 2 and 4 h. The SUVmax of a non-GBM tumor (a), the SUVmax of a GBM (b), the TNR of a non-GBM (c), and the TNR of a GBM (d) were compared between 2 and 4 h. There were no significant differences in the non-GBM, but in the GBM, both the SUVmax and the TNR increased significantly from 2 to 4 h. GBM, glioblastoma; SUVmax, maximum standardized uptake value; TNR, tumor-to-normal ratio

Through ROC curve analysis using TNR, both GBM and non-GBM were well-differentiated both at 2 h and 4 h (Fig. 5). The cutoff values of TNR were 1.35 for 2 h and 1.51 for 4 h. Both areas under ROC curves were 1.00.

Fig. 5
figure 5

ROC curves for diagnosis of GBM and non-GBM by tumor TNR. TNRs at 2 h (a) and at 4 h (b) were compared between non-GBM. ROC curve using TNR showed that both GBM and non-GBM were well-differentiated both at 2 h (c) and 4 h (d). ROC, receiver operating characteristic; GBM, glioblastoma; TNR, tumor-to-normal ratio; AUC, area under the curve

Discussion

We assessed PET images obtained at 2 and 4 h after 18F-FMISO injection. In the background brain tissue, the GWC was significantly decreased at 4 h compared with that observed at 2 h. Visual scores were changed in 9 patients (39.1%) from 2 to 4 h. From 2 to 4 h after the 18F-FMISO injection, the non-GBMs showed a trend of change from tracer-positive to tracer-negative, while the GBMs remained significantly positive for 18F-FMISO.

18F-FMISO is the most commonly used PET tracer for detecting hypoxia. Oxygen tension in tumors has been measured in patients by directly inserting polarographic needle electrodes into the tumors [25,26,27], but this measurement is invasive and less reproducible. As an alternative, 18F-FMISO PET is a promising and noninvasive method for in vivo hypoxia imaging [5,6,7,8]. Several research groups suggested that 18F-FMISO accumulation may increase sharply under partial pressure of oxygen (pO2) at 10–20 mmHg [28, 29]. The 18F-FMISO PET identification of hypoxia proceeds through several steps. First, the blood flow distributes 18F-FMISO in the cells by passive diffusion. When oxygen is abundant in normally oxygenated cells, the parent compound is regenerated by reoxidation and washed out from the tissue. In the hypoxic region, the reduced 18F-FMISO is not regenerated by reoxidation, and the remaining 18F-FMISO binds to intracellular peptides or is conjugated to glutathione [30, 31].

Since 18F-FMISO is a lipophilic compound, it takes a longer time (approximately 4 h) to be excreted from blood and normal tissues compared with the hydrophilic tracers sometimes used to detect hypoxia (approximately 1 h) [32]. Our present finding of relatively high gray-to-white matter contrast at 2 h suggests that the influence of the blood flow remains; in other words, the washout is not sufficient for evaluation of a patient’s hypoxia status.

In the WHO criteria, “glioblastoma” is defined as having palisading necrosis in addition to anaplasia and mitotic activity [19]. Intratumoral necrosis has been thought to cause hypoxia of surrounding tissue [33, 34]. Although glioblastomas exhibit abundant angiogenesis, the blood vessels are structurally and functionally abnormal, leading to ineffective perfusion and thus to tumor hypoxia [35]. Hypoxia not only weakens the DNA-damaging effects of low linear energy transfer radiations (i.e., X-ray and gamma ray) [36] but also inhibits the degradation of hypoxia inducible factor (HIF) and thus promotes a number of cell proliferation genes causing chemoresistance, adaptation to hypoxia, metastasis, and invasion [37]. Sato et al. reported that 18F-FMISO uptake at 4 h after injection was significantly higher in patients with high expression of Ki-67 and HIF-1α [38]. However, there have been no reports investigating which scan time after injection is most appropriate for the assessment of correlation between 18F-FMISO uptake and these histological parameters. The current standard of treatment for a histologically diagnosed GBM includes resection followed by adjuvant radiation and chemotherapy [39]. However, GBMs typically recur within months, and the median survival from onset is only 15 months [40].

Noninvasive differentiation of GBM and non-GBM is important to avoid insufficient surgery, because the overall survival of patients cannot be prolonged unless the gadolinium-enhanced part of the tumor is completely removed by surgery. The results of our present analyses show that the GBMs were clearly discriminated from the non-GBMs by the 18F-FMISO PET at 4 h but not by that at 2 h after the 18F-FMISO injection. We previously showed that 18F-FMISO PET discriminated glioblastoma from less malignant gliomas at 4 h after 18F-FMISO injection due to the much higher accumulation in GBM vs. non-GBM at that time point [21]. However, Cher et al. [12] and Yamamoto et al. [17] demonstrated that grade III gliomas showed elevated 18F-FMISO uptake at 2 h after injection. This discrepancy is probably due to the difference in the uptake time.

A kinetic analysis of 18F-FMISO uptake indicated the time-dependent uptake characteristics of 18F-FMISO and suggested that a longer uptake time may be more beneficial to evaluate tumor hypoxia. Thorwarth et al. discussed a theoretical problem with the images 2 h after injection of 18F-FMISO. They reported that hot spots occurred on the 18F-FMISO images after 2 h but disappeared after 4 h based on the kinetic analysis of a dynamic 18F-FMISO PET dataset. This result suggested that the high uptake on the images after 2 h might reflect a high initial influx of the tracer due to increased blood flow as well as hypoxia [41]. Early reports by Grunbaum et al. also suggested that longer diffusion times might be required to achieve acceptable target/background ratios for hypoxia imaging [42]. Nevertheless, most of the relevant studies adopted 2-h protocols [8, 9, 12, 13, 15, 17], possibly because a shorter protocol would generally be more acceptable in clinical settings. In the present study, all grades of glioma showed an elevated accumulation of 18F-FMISO at 2 h after 18F-FMISO injection. Conversely, at 4 h, all of the non-GBM lesions showed negative 18F-FMISO uptake. This data provides evidence of the uptake time-related differences mentioned above.

In addition, our present findings demonstrated that the 2-h images showed strong contrast between gray and white matter, and this contrast disappeared at 4 h. This result also supports the concept that the influence of the blood flow remained at 2 h. We speculate that the 18F-FMISO was not sufficiently washed out from the normoxic cells at the 2-h time point. Grkovski et al. evaluated the hypoxic condition in detail by using kinetic modeling obtained by dynamic imaging [43]. In their report, a static image of 18F-FMISO PET might lead to a misinterpretation of hypoxic lesions. However, the images obtained at 4 h may be preferable as a reasonable surrogate, since it is clinically difficult to perform continuous imaging for a long period of time. Static images also have better image quality than dynamic and parametric images.

Peeters et al. demonstrated that 18F-FMISO uptake was still increasing at 6 h in their laboratory animal study [44]. However, in a clinical setting, it is difficult to perform a scan at 6 h post-injection, and the reduced counts may cause a lower signal-to-noise ratio.

Study limitations

This study has some methodological limitations. It was a retrospective analysis of patients at a single center and included a relatively small cohort of subjects (n = 23) who underwent 18F-FMISO PET imaging for suspected brain tumors. In this retrospective study, histological measurements of hypoxia, such as HIF-1 immunohistochemical staining, and in vivo blood flow imaging, such as O-15 water PET, are lacking. Further studies are needed to correlate such information with 18F-FMISO uptake. Nevertheless, these results might have clinical implications for the staging algorithm for patients with a suspected brain tumor.

Conclusion

For the evaluation of hypoxia in brain tumors and especially to distinguish GBMs from non-GBMs, our current data suggest that 18F-FMISO PET images should be obtained at 4 h rather than at 2 h after the 18F-FMISO injection.