Preoperative [¹¹C]methionine PET to personalize treatment decisions in patients with lower-grade gliomas

Abstract

Background

PET with radiolabeled amino acids is used in the preoperative evaluation of patients with glial neoplasms. This study aimed to assess the role of [¹¹C]methionine (MET) PET in assessing molecular features, tumor extent, and prognosis in newly diagnosed lower-grade gliomas (LGGs) surgically treated.

Methods

One hundred and fifty-three patients with a new diagnosis of grade 2/3 glioma who underwent surgery at our Institution and were imaged preoperatively using [¹¹C]MET PET/CT were retrospectively included. [¹¹C]MET PET images were qualitatively and semi-quantitatively analyzed using tumor-to-background ratio (TBR). Progression-free survival (PFS) rates were estimated using the Kaplan-Meier method and Cox proportional-hazards regression was used to test the association of clinicopathological and imaging data to PFS.

Results

Overall, 111 lesions (73%) were positive, while thirty-two (21%) and ten (6%) were isometabolic and hypometabolic at [¹¹C]MET PET, respectively. [¹¹C]MET uptake was more common in oligodendrogliomas than IDH-mutant astrocytomas (87% vs 50% of cases, respectively). Among [¹¹C]MET-positive gliomas, grade 3 oligodendrogliomas had the highest median TBR_max (3.22). In 25% of patients, PET helped to better delineate tumor margins compared to MRI only. In IDH-mutant astrocytomas, higher TBR_max values at [¹¹C]MET PET were independent predictors of shorter PFS.

Conclusions

This work highlights the role of preoperative [¹¹C]MET PET in estimating the type of suspected LGGs, assessing tumor extent, and predicting biological behavior and prognosis of histologically confirmed LGGs. Our findings support the implementation of [¹¹C]MET PET in routine clinical practice to better manage these neoplasms.

World Health Organization (WHO) grade 2/3 gliomas, known as lower-grade gliomas (LGGs), are primary central nervous system (CNS) neoplasms that together account for about 15–20% of all malignant brain tumors.¹ LGGs constitute a group of very heterogeneous entities characterized by different pathological behavior and biological aggressiveness. As of 2007,² grade 2 and 3 diffuse gliomas were classified and graded based on histological appearance into tumors of astrocytic lineage, oligodendrocytic tumors, and mixed gliomas. With the advent of the molecular era, a better understanding of the genetic basis of gliomagenesis has led to new CNS WHO classifications^3,4 breaking with the traditional microscopy-based diagnosis and incorporating molecular parameters. Recognized key molecular diagnostic markers in LGGs include isocitrate dehydrogenase 1 and 2 (IDH1/2) genes mutation, 1p/19q codeletion, ATRX mutation, and TP53 mutation. According to the 2021 CNS WHO classification⁴ and cIMPACT-NOW recommendations,⁵ these molecular biomarkers allow to classify LGGs into two types with solid prognostic value, namely IDH-mutant and 1p/19q-codeleted oligodendrogliomas, and IDH-mutant astrocytomas. The new integrated diagnosis has brought key achievements in prognostication for LGGs.^6,7 Indeed, apart from patient-specific prognostic factors (i.e. age, performance status, neurological deficits) and therapy-related prognostic factors (i.e. extent of tumor resection, postoperative treatments), molecular and genetic factors associated with more favorable outcomes have been identified.

Brain magnetic resonance imaging (MRI) is the modality of choice for diagnosing, preoperative workup, and surgical planning of a suspected LGG. However, in the latest years, amino acid positron emission tomography (PET) with [¹¹C]methionine (MET) has been introduced as a complement to MRI in the clinical management of LGGs. [¹¹C]MET PET is indeed able to provide complementary information on tumor extent/biology and intratumoral heterogeneity to that offered by MRI.^8,9 Accordingly, it may identify diseases with more aggressive behavior and growth pattern, and thus at higher risk of recurrence after treatment. However, to the best of our knowledge, the added value of preoperative [¹¹C] MET PET has never been studied in a large series of lower-grade glioma patients. Moreover, although previous studies and recently published guidelines^10–14 support the use of amino acid PET at baseline to differentiate high- and low-grade lesions, to delineate tumor extent before surgery or radiotherapy, to guide stereotactic biopsy, and for prognostication, several constraints (e.g. variability in methodologies, heterogeneity of populations) hampers its routinely use in the pre-surgical setting.¹⁵ The present study aimed to evaluate the role of [¹¹C]MET PET in assessing histopathological and molecular features, tumor extent, and prognosis in patients with newly diagnosed WHO grade 2/3 astrocytic and oligodendroglial tumors.

Materials and Methods

Study Design and Patient Population

This was a single-center, observational, retrospective study.

We included patients with a newly diagnosed, histologically-proven lower-grade glioma who underwent surgical resection at our Hospital between July 2011 and January 2021 and were imaged preoperatively using [¹¹C]MET PET/CT and MRI.

The following exclusion criteria were used: (1) treatment (chemotherapy, radiotherapy, chemoradiotherapy) before PET imaging; (2) biopsy before PET imaging; (3) lower-grade glioma with no precise histological grading; (4) interval between PET imaging and surgical resection ≥100 days.

We collected demographic, clinical, histomolecular, imaging, treatment, and outcome data.

This study was approved by the IRCCS Humanitas Research Hospital Ethics Committee [approval n. 19/21, 23.03.2021] and was conducted under the Declaration of Helsinki. Due to the observational retrospective design of the study, patients’ signature of a specific informed consent was waived.

Magnetic Resonance Imaging

For all patients, volumetric MRI sequences were acquired before surgery using a 3 Tesla Siemens MAGNETOM Verio MRI scanner (Siemens Medical Systems). The preoperative MRI protocol included T1-weighted pre- and postgadolinium, T2-weigthed, and FLAIR scans and, in most cases, DWI, fMRI, and DTI. Postoperative MRI at 48 hours and two months were obtained to estimate the extent of resection.

[¹¹C]MET PET Imaging

All patients were imaged preoperatively using [¹¹C]MET PET <100 days before surgery. L-[¹¹C-methyl]-methionine was synthetized on-site. Brain images were acquired 10 minutes after the intravenous injection of 300–500 MBq of the radiopharmaceutical. Three-dimensional PET/CT images were acquired according to the hospital protocol with either a GE Discovery 690 (GE Healthcare, Waukesha, Wisconsin, USA) or a Siemens Biograph 6 (Siemens Medical Systems, Erlangen, Germany) scanner.

Image Analysis

[¹¹C]MET PET images were qualitatively and semi-quantitatively analyzed.

At visual analysis, exams were considered positive in case of increased radiopharmaceutical uptake at the lesion level. Negative exams were further classified as isometabolic or hypometabolic, depending on whether the radiotracer uptake in the region of interest was equal or less than in the normal surrounding brain. Two authors (GN, MS) independently performed the visual image analysis. A third (LA) and fourth (FG) authors resolved any discordance in interpretation using the majority voting.

The semi-quantitative analysis was performed using the tumor-to-background ratio (TBR). In positive exams, we also computed the metabolic tumor volume (MTV). TBR_max and TBR_mean were calculated as ratios between SUV_max and SUV_mean of the tumor volume of interest, respectively, and uptake values of normal tissue, used as reference. We used a crescent-shaped volume of interest in the contralateral brain to assess background activity, which has been proposed as the most reliable method for background activity assessment in¹⁸F-FET PET imaging.¹⁶ For all positive exams, a 3-dimensional auto-contouring process using the suggested⁹ TBR_max threshold >1.3 was used to segment of the MTV with LIFEx software (www.lifexsoft.org).¹⁷

All positive [¹¹C]MET PET scans with segmented MET PET-based tumor volumes of interest were co-registered with the preoperative MRI using the iPlan Cranial software (Brainlab AG). Spatial comparison between (1) MET PET-based and T2-FLAIR-based tumor volumes and (2) MET PET-based tumor volumes and postcontrast T1-based tumor volumes—for contrast-enhancing gliomas—was performed. Two authors (G.N. and B.B.) visually assessed the spatial correlation between the MET PET-based tumor volumes and the T2-FLAIR-based and postcontrast T1-based tumor volumes following these criteria: (a) MET PET-based tumor volume inside T2-FLAIR-based tumor volume, (b) MET PET-based tumor volume outside T2-FLAIR-based tumor volume, (c) MET PET-based tumor volume inside postcontrast T1-based tumor volume, and (d) MET PET-based tumor volume outside postcontrast T1-based tumor volume.

Surgery

All patients gave written informed consent for the neurosurgical procedure.

In all cases, surgery aimed at maximal safe resection of the lesion. Microsurgical tumor removal was performed with the aid of neuronavigation with co-registered preoperative MRI, CT, and PET series, and with the help of intraoperative neurophysiological monitoring and functional brain mapping.

The excised tumor volume was assessed comparing the preoperative volume of the lesion on FLAIR sequences with the postoperative (at 48 hours and two months after surgery) volume using iPlan Cranial software (Brainlab AG). According to the percentage of removed tumor volume, the extent of resection was classified as complete (≥95%, which include supra-total and gross total resection), and incomplete (30-94%, which include subtotal and partial resection).

Histomolecular Analysis

Neuropathological evaluation of tumor specimens obtained by surgical resection and stained with hematoxylin and eosin was performed according to the 2007 and 2016 WHO Classification of Tumors of the Central Nervous System. Diagnoses were updated following the new 2021 CNS WHO indications, and patients re-classified accordingly.

IDH1/2 and 1p/19q statuses were determined for all patients included in the study. In most cases, additional molecular analyses including the Ki-67 index, ATRX and TP53 statuses, and MGMT promoter methylation status.

The presence of IDH1/2 mutation was assessed by IHC using anti-IDH1 R132H antibodies. In case of negative stain, for diagnoses performed after 2014, IDH1 and IDH2 sequencing was added as a diagnostic confirmation.

FISH was used for the identification of 1p/19q codeletion. 1p/19q codeletion was reported in presence of at least 20% (pre-specified cutoff) of tumor cells with a deleted signal.

The Ki-67 proliferation index was determined by IHC using anti-MIB-1 antibodies.

ARTX and TP53 mutations were evaluated by IHC.

MGMT promoter methylation status was assessed by pyrosequencing.

Following the 2021 CNS WHO recommendations, tumor grading and molecular markers were used to classify LGGs into IDH-mutant and 1p/19q-codeleted WHO grade 2 and 3 oligodendrogliomas, and IDH-mutant and 1p/19q-non codeleted WHO grade 2 and 3 astrocytomas.

Postoperative Treatments and Outcome Evaluation

A neuro-oncology multidisciplinary team evaluated the need of any postoperative treatment on a case-by-case basis, according to the disease histomolecular profile, the EOR, and to patient intrinsic factors, namely age and performance status.

Follow-up neurological examination and MRI were performed at 3-6 months intervals depending on the histomolecular diagnosis. Disease recurrence or progression after treatment was defined according to the Response Assessment in Neuro-Oncology (RANO) criteria.^18,19

Statistical Analysis

In the descriptive analysis, quantitative variables were tested for normal distribution by Shapiro-Wilk test. In case of normal distribution, mean and standard deviation were reported, while in case of non-normal distribution, median and interquartile range (IQR) were used. Kruskal-Wallis H test was used to compare the median of quantitative variables. Ordinal and categorical variables were compared by the chi-squared (χ ²) test. For multiple testing, Bonferroni correction was applied. P-values <.05 were considered statistically significant.

For the visual image analysis, interobserver agreement was estimated using Cohen’s kappa (к), and rated as none (0–0.20), minimal (0.21–0.39), weak (0.40–0.59), moderate (0.60–0.79), strong (0.80–0.90), and almost perfect (>0.90).²⁰

Progression-free survival (PFS) time was calculated from surgical intervention to disease progression/recurrence or death from any cause. Kaplan-Meier curves analyzed PFS rates. A log-rank test (Mantel-Cox) was run to compare survival curves. Cox proportional-hazards regression was used to test the association of demographic, clinical, histomolecular, and imaging data to PFS. Significant variables on univariate analysis and variables with a well-known prognostic value were selected for the multivariate Cox regression analysis. P-values <.05 were considered statistically significant. Stata MP (StataCorp LP, TX, USA) software, version 14.0 and GraphPad PRISM, version 9.0.0 were used.

Results

Patient Characteristics

Two hundred and one patients were selected using the above-mentioned criteria. However, 48 out of 201 gliomas were re-classified as glioblastoma according to the 2021 CNS WHO recommendations, and therefore excluded from the analysis. Collectively, 153 patients with a newly diagnosed, histologically confirmed LGG fulfilling selection criteria were included in the study. LGGs were classified in two types—oligodendrogliomas, IDH-mutant and 1p/19q-codeleted (61%), and astrocytomas, IDH-mutant (39%)—following the indications provided by the 2021 CNS WHO classification. Diagnoses made applying the 2007 and 2016 WHO CNS criteria (n = 153) were modified according to the new 2021 CNS WHO. Discrepancies were present in 26 cases: in particular, we re-classified 7 oligoastrocytomas as oligodendrogliomas, one oligoastrocytoma as diffuse astrocytoma, 4 diffuse astrocytomas as oligodendrogliomas, and 8 anaplastic oligoastrocytomas and 6 anaplastic astrocytomas as anaplastic oligodendrogliomas. A complete summary of demographic, clinical, and histomolecular data for all patients and each LGG type considered separately is shown in Supplementary Table S1 and Table 1.

[¹¹C]MET PET Qualitative and Semi-quantitative Analysis

The interobserver agreement between the first two readers was strong (к: 0.826). In particular, discordance in visual image interpretation was present 11/153 cases.

Overall, qualitative analysis of [¹¹C]MET PET scans revealed 111 (73%) positive and 42 (27%) negative studies. On negative [¹¹C]MET PET exams, 32 (21%) lesions appeared isometabolic and 10 (6%) hypometabolic. Supplementary Figure S1 shows three examples of hypermetabolic, isometabolic, and hypometabolic lesions.

[¹¹C]MET uptake was more frequent in grade 3 compared to grade 2 LGGs (83% vs. 64% of cases, respectively, p = .009). Correlations between clinicopathological characteristics and PET qualitative analysis results are summarized in Supplementary Table S2.

When considering WHO LGG types, [¹¹C]MET uptake was more prevalent in oligodendrogliomas than IDH-mutant astrocytomas (87% vs. 50% of cases, respectively). Isometabolic lesions were more commonly grade 2 IDH-mutant astrocytomas than grade 3 IDH-mutant astrocytomas and grade 2 and 3 oligodendrogliomas (53% vs 18%, 18%, and 0% of cases, respectively). Hypometabolic gliomas mainly were grade 2 and 3 IDH-mutant astrocytomas, while were more rarely grade 2 and 3 oligodendrogliomas (9% and 17% vs. 2% and 3% of cases, respectively). A graphical summary of findings at qualitative [¹¹C]MET PET evaluation concerning LGG type is shown in Figure 1.

Semi-quantitative [¹¹C]MET PET image analysis was performed in 151/153 patients. In the remaining two cases, semi-quantitative analysis was not possible due to technical problems.

The median values of TBR_max and TBR_mean in lesions visually classified according to the pattern of [¹¹C]MET uptake as hypermetabolic, isometabolic, and hypometabolic differed significantly (2.67, 1.25, and 0.90 for TBR_max, respectively, p = .0001; 1.62, 0.95, and 0.62 for TBR_mean, respectively, p = .0001). According to PET qualitative evaluation, a summary of median TBR_max and TBR_mean values is provided in Supplementary Table S3.

TBR_max and TBR_mean values were significantly higher in WHO grade 3 LGGs compared to grade 2 lesions (Supplementary Figure S2).

We observed significant differences in median TBR_max and TBR_mean values between WHO LGG types (Figure 2). The median TBR_max was highest in grade 3 oligodendrogliomas and lowest in grade 2 IDH-mutant astrocytomas (= 3.20 and = 1.37, respectively). A complete summary of the semi-quantitative analysis concerning the WHO type is provided in Supplementary Table S4.

Grade 3 LGGs had a significantly higher MTV concerning grade 2 tumors (Supplementary Figure S3).

Median MTV was significantly different in the two types, being higher in oligodendroglial neoplasms than in IDH-mutant astrocytomas (21.14 cm³ vs. 10.03 cm³, respectively, p = .0197) (Supplementary Figure S4 and Supplementary Table S5).

Out of 111 positive [¹¹C]MET PET examinations, there was a spatial overlap between the MET PET-based and T2-FLAIR-based tumor volume in 83 (75%) cases. In the remaining 28 (25%) cases, PET-positive areas were present outside foci of altered FLAIR signal intensity. The presence of regions with increased [¹¹C]MET uptake outside FLAIR alterations was positively associated with tumor grade and was more common for grade 3 than grade 2 lesions (36% vs 15% cases, respectively, p = .009). Two examples of [¹¹C]MET PET and MRI discordance are presented in Figure 3.

Among the [¹¹C]MET PET-positive lesions, 32/111 (29%) demonstrated MRI constrast uptake. In all cases, contrast-enhancing tumor volumes were inside MET PET-based tumor volumes.

Assessment of Prognosis by [^11C]MET PET and Clinicopathological Parameters

As of May 2021, the median follow-up time after surgery was 34.5 months (IQR 17.6–58.9 months). Two patients died due to postoperative complications, and 58 patients had an imaging diagnosis of tumor recurrence or progression based on the RANO criteria. Among these, a histology-proven anaplastic transformation occurred in 11 cases.

Overall, the median PFS was 46.3 (IQR 25.7–105.8) months (Supplementary Figure S6). In patients with IDH-mutant, 1p/19q-codeleted oligodendrogliomas the median PFS was 53.5 (IQR 25.9–105.8) months, while in IDH-mutant astrocytomas the median PFS was 38.4 (IQR 24.2–60.4) months. PFS curves for the two LLG types did not differ significantly (p = .220) (Supplementary Figure S7).

When considering all LGG patients, extent of resection and TBR_max were significantly associated with PFS on univariate analysis and confirmed to be independent predictors of PFS on multivariate analysis (Supplementary Table S6). PFS curves for patients stratified according to extent of surgical resection and TBR_max are shown in Supplementary Figure S8.

In IDH-mutant, 1p/19q-codeleted patients, extent of resection and postoperative treatment were significantly associated with PFS on univariate analysis; extent of resection confirmed its independent prognostic value on multivariate analysis (Table 2).

In IDH-mutant astrocytomas, the extent of resection, TBR_max, and TBR_mean were significant predictors of PFS on univariate analysis. The extent of resection and TBR_max confirmed their independent prognostic value on multivariate analysis (Table 3). PFS curves for IDH-mutant astrocytomas stratified according to the extent of surgical resection and TBR_max are shown in Figure 4.

Discussion

The current study proved the added value of [¹¹C]MET PET in the preoperative evaluation of a large cohort of newly diagnosed grade 2 and 3 glial neoplasms.

Regarding histopathological characteristics, we found that both visual analysis and semi-quantitative [¹¹C]MET PET-derived parameters were significantly associated to tumor grade and LGG type. Indeed, [¹¹C]MET uptake was more prevalent in grade 3 than grade 2 gliomas, and grade 3 lesions had higher TBR_max and TBR_mean values compared to grade 2 ones. Similar findings have been reported in previous studies.^21–24

When looking at LGG types, the great majority (87%) of oligodendroglial tumors included in our cohort showed [¹¹C]MET uptake and they exhibited the highest MTV and TBR values. Accordingly, the presence of a [¹¹C]MET PET-negative lesion should support an alternative diagnosis. Conversely, IDH-mutant astrocytomas presented the lowest MTV and TBR values and were PET-negative in half of the patients. IDH-mutant astrocytomas represented 71% of all PET-negative lesions, in particular 80% and 69% of all hypometabolic and isometabolic tumors, respectively. Consequently, cold and isometabolic lesions at [¹¹C]MET PET should raise the suspicion of these specific LGG entities. Our findings were in line with two previous reports by Kebir et al.²⁵ and Takei et al.,²⁶ who have described a higher [¹¹C]MET uptake in IDH-mutant, 1p/19q-codeleted LGGs compared to IDH-mutant, 1p/19q-non codeleted tumors. However, the small sample size in both these studies did not allow to find significant differences among LGG types with respect to radiopharmaceutical uptake.

Literature data suggested that higher cell and microvessels density are responsible for a different pattern of [¹¹C]MET uptake in oligodendrogliomas and IDH-mutant astrocytomas.^27–29 More recently, Roodakker et al.³⁰ evaluated the intratumoral [¹¹C]MET uptake according to tumor perfusion and histological protein expression and proved that different patterns of [¹¹C]MET uptake featuring oligodendrogliomas and IDH-mutant astrocytomas were related to both tumor cell and microvessels density.

Secondly, we assessed the overlap between tumor volume measured on [¹¹C]MET PET and on T2-FLAIR MRI, which is currently the preferred imaging method to delineate tumor margins before surgery in LGGs. PET-positive areas were present outside foci of altered FLAIR signal intensity in 25% of cases, supporting the independent and complementary role of these two techniques, already proved in gliomas of all grades by Pirotte et al.⁸ The addition of PET to MRI data in the preoperative planning may help to extend the resection and target it to more aggressive areas, ultimately improving overall surgical outcomes. Moreover, Tanaka et al.¹⁰ have reported that using a multimodal navigation system with integrated [¹¹C]MET PET images to guide tumor resection improved survival in grades 2-4 gliomas patients concerning conventional navigation.

Coming to prognosis assessment, we aimed to determine whether [¹¹C]MET PET is an independent prognostic factor in grade 2 and 3 glial neoplasms. Given the tremendous heterogeneity across LGG subtypes in terms of biological behavior and prognosis, we carried out our analysis first in all patients, and then in patients stratified according to the LGG type.

Considering the whole LGG population, complete resection and lower TBR_max values emerged as significant predictors of longer PFS on multivariate analysis, in agreement with most recent literature data.^31–34 Similarly, Poetsch et al.³⁵ have reported that TBR_max on [¹¹C]MET PET was an independent predictor of OS in a cohort of treatment-naïve grade 2-4 gliomas. More recently, a [¹¹C]MET PET-based radiomic analysis performed by Manabe et al.³⁶ on a small cohort of grade 2-4 gliomas has shown that two textural features (i.e. LGRE and correlation) derived from preoperative PET images were independent predictors of OS on multivariate analysis, while TBR_max did not result to be independently associated to OS.

By restricting the evaluation to IDH-mutant, 1p/19q-codeleted patients, extent of resection was the only independent prognostic factor for PFS on multivariate analysis, in line with previous reports.^32,37,38 On the other hand, visual [¹¹C]MET uptake and semi-quantitative parameters were not significantly associated with PFS, suggesting that their prognostic role in oligodendrogliomas is limited.

Looking at the IDH-mutant, 1p/19q-non codeleted type, complete tumor resection, and increasing TBR_max values demonstrated to be independent predictors of shorter PFS on multivariate Cox regression analysis. Similarly, several recent studies^32,39–41 have shown that extensive surgery was independently associated with better survival outcomes in IDH-mutant astrocytomas. To the best of our knowledge, instead, the role of TBR_max on [¹¹C]MET PET in this specific LGG type as an independent predictor of survival has never been reported before.

The present work demonstrates that preoperative [¹¹C]MET PET is a valuable diagnostic and prognostic tool in grade 2 and 3 glial neoplasms. Unlike most former studies, which had included patients with glial neoplasms of all grades, we centered our analysis only on lower-grade gliomas. Moreover, this is the first comprehensive investigation on the prognostic value of amino acid PET in LGG stratified according to 2021 WHO diffuse glioma type and other known prognostic factors. Following the 2016 and 2021 CNS WHO recommendations, such stratification based on IDH1/2 genes mutation and 1p/19q codeletion has become fundamental to evaluate the impact of prognostic factors on survival outcomes without introducing sample bias. IDH-mutant, 1p/19q-codeleted, and IDH-mutant, 1p/19q-non codeleted LGGs are indeed distinct entities with dissimilar phenotypic and genotypic characteristics and different natural history and response to treatment.

Current guidelines for imaging of gliomas recommends the use of PET with radiolabeled amino acids.¹⁴ Our data further support this recommendation, with several practical applications both in the pre- and postsurgical setting. In particular, we expanded knowledge about the usefulness of [¹¹C]MET PET for (a) estimation of lower-grade glioma type; (b) delineation of tumor extent for surgery; and (c) prognostication of lower-grade gliomas.

First, we proved the usefulness of [¹¹C]MET PET for the prospective assessment of LGG type and grade. It holds the potential of providing considerable improvements in the preoperative estimation of tumor biological characteristics before the availability of a histomolecular diagnosis. Several studies^32,37,40 have shown how the extent of surgical resection impacted outcome based on LGG type. In particular, the IDH-mutant, 1p/19q-non codeleted subgroup maximally benefitted from increased EOR. In light of this, [¹¹C]MET PET may guide treatment decision-making in these patients, supporting a more aggressive surgical approach in case of lesions highly suspicious for IDH-mutant astrocytomas.

Additionally, we demonstrated the complementary role of MRI and [¹¹C]MET PET in delineating tumor margins before LGG surgery. Therefore, the use of a multimodal navigation system integrating the information from [¹¹C]MET PET and MRI may help to better plan surgery, increase the amount of tumor removed, and target—whenever possible—the resection to more active tumor portions.

Finally, for the first time, our findings proved the independent prognostic role of [¹¹C]MET PET in LGG patients with IDH-mutant astrocytomas. Previous studies^{35,36,42–48} have evidenced the association between preoperative amino acid (i.e. [¹¹C]MET, [¹⁸F]FET, and [¹⁸F]DOPA) PET and clinical outcome both in low- and high-grade gliomas. However, none of these has stratified patients according to molecular subtype and has performed adjustment for known prognostic factors in glial neoplasms.

Our results supported the utilization of [¹¹C]MET PET to personalize treatment decisions in IDH-mutant, 1p/19q-noncodeleted LGGs. Accordingly, we propose to use high TBR_max values at preoperative [¹¹C]MET PET to select high-risk patients for closer monitoring and more aggressive treatment strategies after surgery.

Despite the relatively large sample size and the further stratification of patients in molecularly defined subgroups, our study needs to acknowledge some limitations. First, some histomolecular data (Ki-67 index, MGMT promoter methylation, ATRX, and TP53 status) were not available for all patients due to the retrospective design. A further limitation is represented by the binary stratification of the extent of surgical resection (complete and incomplete) instead of a volumetric approach, which would have been more accurate. Moreover, the small number of hypometabolic lesions in our LGG cohort did not allow us to investigate the prognostic value of ”cold” areas, which have been recently correlated with unfavorable outcomes.^49,50 Additionally, correlation of clinicopathological and imaging data with overall survival was not analyzed; indeed, follow-up was too short considering the relatively long median survival of patients with LGGs. Moreover, as it can be difficult to differentiate LGGs from other brain tumors in the preoperative setting, the validity of [¹¹C]MET PET for noninvasive subtype classification should be considered with caution. Lastly, [¹¹C]MET PET is currently restricted to few neuro-oncology centers because the short half-life of ¹¹C (20 minutes) necessitates an onsite cyclotron. In Europe, [¹¹C]MET has indeed been replaced by [¹⁸F]FET and [¹⁸F]FDOPA.⁵¹ However, since MET, FET, and FDOPA are transported by the same amino acid transport system L, concordance among these radiolabeled amino acids in diagnostic findings is expected.¹⁴

In conclusion, the present study highlights the added value of preoperative [¹¹C]MET PET in estimating molecular features in suspected LGGs, assessing tumor extent, and providing independent prognostic information in patients with histologically confirmed lower-grade gliomas. Our results support the routine implementation of amino acid PET with [¹¹C]methionine to personalize treatment decisions and optimize patient management in newly diagnosed grade 2 and 3 glial neoplasms.

Acknowledgments

The authors are thankful to Prof. Lorenzo Bello, Dr Maurizio Fornari, Dr Marco Grimaldi, Dr Giovanni Battista Lasio for their clinical support.

Conflict of interest statement. Arturo Chiti reports: speaker’s honoraria: Advanced Accelerator Applications, General Electric Healthcare, AmGen Europe; Advisory Boards: Blue Earth Diagnostics, Advanced Accelerator Applications. The other authors do not report any conflict of interest.

Authorship statement. F.P., G.N., P.N., M.S., and A.C. ideated the project; P.N., F.P., B.B., L.A., L.S.P., and F.G. extracted and analyzed the data, N.G. and D.F. provided the statistical analyses; G.N., F.P., M.S., and A.C. prepared the draft, all authors read and approved the text.

References

Author notes