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Basic Science Investigations |
1 Department of Radiation Oncology, University of Washington Medical Center, Seattle, Washington
2 Department of Nuclear Medicine, University of Washington Medical Center, Seattle, Washington
3 Department of Neurosurgery, University of Washington Medical Center, Seattle, Washington
4 Department of Neuro-Oncology, University of Washington Medical Center, Seattle, Washington
| ABSTRACT |
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Key Words: glioblastoma multiforme PET radiation dose escalation
| INTRODUCTION |
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In previous treatment trials, the volume designated for dose escalation has generally been determined by conventional anatomic imaging such as CT or MRI (9). A typical volume for dose escalation beyond 60 Gy has been defined as the operative bed plus the area of gadolinium enhancement on a postoperative T1-weighted MR image. However, the optimal volume to receive the boost dose of radiation has not been determined.
An incremental improvement in survival by radiation dose escalation will require an expansion of the therapeutic window by targeting the volume at greatest risk for first recurrence while minimizing radiation exposure to functional brain tissue. Newer functional imaging modalities such as PET have been postulated to be more accurate in determining target volumes to guide the radiation treatment of malignancies (10). 18F-FDG PET of brain tumors has been shown to be accurate in identifying areas of active disease (11,12). 18F-FDG uptake correlates with tumor grade and aggressiveness (11,12), and the level of 18F-FDG uptake in primary brain tumors predicts survival (1315). On the basis of these premises, we initiated a prospective phase I/II trial using 18F-FDG PET uptake as a metabolic marker of the most malignant regions of GBM in determining high-dose-radiation boost volumes for conventionally fractionated conformal external-beam radiation. A comparison of boost target volumes between those determined by 18F-FDG PET and those determined by MRI, along with an analysis of the utility of 18F-FDG PET volume in predicting time to tumor progression (TTP) and survival in GBM patients, is emphasized in this initial evaluation. Our hypotheses are that 18F-FDG PET target volumes are different from MRI-based volumes and that 18F-FDG PET volumes identify foci of active residual tumor. Proving these hypotheses would be of significant clinical relevance, as these foci may represent the source of treatment failure.
| MATERIALS AND METHODS |
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All 18F-FDG PET studies were performed on an Advance tomograph (General Electric Medical Systems, Waukesha, WI). Images were acquired in 3 dimensions onto 35 x 128 x 128 matrices using 4-mm transverse and 8.5-mm axial filters. The result was images with 4- to 6-mm spatial resolution in both axial and transverse directions (16). 18F-FDG was prepared using the method of Hamacher et al. (17) and had radiochemical purity in excess of 95% and specific activity greater than 47 GBq/mmol in all cases. The patients fasted for at least 6 h before the PET study. After plasma glucose measurement to rule out hyperglycemia (glucose less than 150 mg/dL), 259370 MBq of 18F-FDG were infused over 12 min. Starting at approximately 45 min after injection, a 15-min 3-dimensional emission acquisition was obtained, followed by a transmission study 25 min after injection (16). Images were acquired with the patients in their radiotherapy head immobilization mask to facilitate coregistration of the PET scans with the treatment-planning CT scans. Images were reconstructed using the manufacturers implementation of the 3-dimensional reprojection algorithm (18). Images were reconstructed in a 30-cm transverse plane by a 14.5-cm axial image field of view onto 128 x 128 x 35 matrices using 4-mm transverse and 8.5-mm axial filters. The resulting image spatial resolution was between 5.5 and 6.5 in full width at half maximum in both axial and transverse directions.
Identification of 18F-FDG-avid areas of tumor and delineation of the 18F-FDG PET-positive contours took place in 2 steps. First, the 18F-FDG-avid tumor areas were determined using MRI as an adjunct to 18F-FDG PET interpretation. Second, 18F-FDG PET images were coregistered to the radiotherapy-planning CT scans, and 18F-FDG-avid tumor contours were drawn on the reformatted 18F-FDG scans. Because patients underwent both PET and CT in the radiotherapy immobilization mask, which firmly constrains head positioning, the reformatted 18F-FDG PET scans used for treatment planning differed only in transverse slice width from the original PET images.
MRI performed close to the time of 18F-FDG PET was used to aid in the interpretation of the 18F-FDG PET studies. When MR images were obtained at the University of Washington and were therefore available in electronic form, the MR and 18F-FDG PET images were software coregistered to aid image interpretation. For MR images obtained elsewhere and available as hard-copy films only, the 18F-FDG PET images were resliced to match the MRI presentation. All 18F-FDG PET images were interpreted by a single observer with expertise in PET imaging of brain tumors. The interpreting physician was aware of patients clinical characteristics but was generally unaware of patients conditions over the course of radiotherapy. In accord with prior published studies (1315), 18F-FDG PET images were interpreted by comparing uptake in the tumor region with average uptake in normal white matter, defined as the centrum semiovale contralateral to the tumor.
Areas meeting any of 3 criteria were considered to represent metabolically active tumor. The first criterion was the presence of greater uptake of 18F-FDG in tumor than in normal white matter. To facilitate this determination, images were displayed with both standard gray-scale windowing and with the setting of windowing thresholds to normal white matter uptake levels, as defined above.
The second criterion was the presence of abnormal 18F-FDG uptake within the boundaries of the abnormal region on T2-weighted MR images. Elevated 18F-FDG uptake in areas appearing normal on MRI was considered to be functional rather than tumor based. An example is increased uptake in the visual cortex when it appeared normal on MRI.
The third criterion, applied to the special case of tumor sites in gray matter, when both normal brain and metabolically active tumor can have uptake greater than that of white matter, was that only regions with uptake greater than that of white matter and also within the boundaries of MRI contrast enhancement were considered positive. Areas of 18F-FDG uptake in gray matter abnormal only on T2-weighted MRI cannot be reliably classified as tumor versus damaged or edematous gray matter and were therefore not included in the 18F-FDG-avid tumor volume. In contrast, areas with increased 18F-FDG uptake with contrast enhancement indicate tumor, as opposed to the alternate possibilities for a contrast-enhancing region: postsurgical changes or necrosis.
Contours were placed for the 18F-FDG PET-positive boost region by coregistering the 18F-FDG PET images to the treatment planning CT scan using the image manipulation software of Prism. Because patients were scanned in the same head immobilization mask for PET as for CT, only translation and not rotation was allowed in the coregistration process. All coregistrations were confirmed visually by a single experienced observer. Estimated coregistration accuracy, by a comparison of common visualized structures (eye musculature, outer cortical boundaries, etc.), was 12 pixels (24 mm).
18F-FDG PET tumor volume contours were drawn on the CT-coregistered 18F-FDG PET images using the Prism software and with reference to the original 18F-FDG PET images. The sites of 18F-FDG-avid tumor, identified as described above, were delineated by contours with the following considerations. Contours were drawn to closely encircle all sites of 18F-FDG-avid disease. For lesions with a cold center by 18F-FDG PET, contours were drawn to include the outer rim of increased uptake and to exclude areas in the center without increased uptake. Whenever possible, contours were made to be contiguous within a slice. However, for lesions in which separate, noncontiguous sites of 18F-FDG uptake were seen in the tumor bed, noncontiguous contours were drawn, and the 18F-FDG PET tumor volume was taken as the sum of the volumes of the noncontiguous contours. Once contours were drawn on the individual slices, they were checked for slice-to-slice consistency and adjusted as necessary. In addition, the 18F-FDG PET contours were checked for consistency with the T2-weighted MRI contours to make sure the 18F-FDG PET contours were within the T2-weighted MRI contours to meet the criteria for identifying areas of abnormal tumor uptake.
Final noncoplanar fields (34) were designed to treat the volume of abnormal 18F-FDG uptake plus a 0.5-cm margin (the third planning target volume). This final boost volume was treated for an additional 20 Gy (2 Gy per fraction), for a total dose of 79.4 Gy in 43 fractions. When critical structures such as the optic chiasm or optic nerve abutted the final boost volume, margins were adjusted to respect tolerance of these critical structures. If no abnormal 18F-FDG uptake was observed, the treatment was stopped after the conventional course of 59.4 Gy. After completing radiation therapy, patients were followed every 3 mo by clinical examination and MRI. If increased gadolinium enhancement was observed, patients were strongly encouraged to undergo a repeated 18F-FDG PET scan to verify disease progression. 18F-FDG PET confirmed progression if the areas of new contrast enhancement on MRI also had 18F-FDG uptake greater than that of white matter and either not seen on the planning study or qualitatively worse than on the planning study.
Analysis of Correlation Between PET and MRI Volumes
18F-FDG PET volumes were analyzed for size and location and were compared with the MRI-based volumes. Volumes were determined by summation of digitized contours from axial images in Prism. Volumes included in the analysis were T2-weighted MRI signal abnormality, T1-weighted MRI gadolinium enhancement, T1-weighted MRI gadolinium enhancement plus operative cavity, and 18F-FDG PET abnormal activity. Differences in volumes were initially assessed by size criteria using a simple ratio between volumes (i.e., PET volume to MRI volume). When absolute volumes were similar (<25% difference), volume locations were assessed and the degree of volume overlap was determined by a concordance index (CI) as CI = ([P + M]/X) - 1, in which P is the boost target volume determined by PET, M is the boost target volume determined by MRI, and X is the volume encompassing the combined 18F-FDG PET (P) and MRI (M) abnormalities. Complete concordance, or equivalence between volumes P, M, and X, would yield a CI of 1 (i.e., P + M/X = 2). Conversely, complete nonconcordance would yield a CI of 0 (i.e., volume P and volume M would be entirely separate, and thus P + M/X = 1). For example, if the MRI volume measured 10 cm3 and the PET volume also measured 10 cm3, by absolute volume the targets would be equivalent. However, to assess volume overlap (concordance), the CI would be applied. If the MRI volume and PET volume were indeed identical, the CI would result in a value of 1 [([10 + 10]/10) - 1 = 1]. Alternatively, if the volumes were entirely discordant (no overlap), the CI formula would yield a value of zero [([10 + 10]/20) - 1 = 0]. For all other scenarios, the CI would yield a value between 0 and 1, with higher values meaning greater concordance. Values of CI less than 0.75 indicate discordance exceeding 25%. A CI of 1 was assigned if both P and M equaled 0.
Analysis of Potential Prognostic Factors
Age, Karnofsky Scale, T2-weighted MRI volume, T1-weighted MRI gadolinium enhancement volume (both with and without inclusion of the resection cavity), and 18F-FDG PET volume were analyzed as prognostic variables for TTP and survival from date of diagnosis using the Cox proportional hazards model for continuous variables. Statistical analyses were performed using the StatView (1986 version; Abacus Concepts, Inc., Berkeley, CA) software package.
| RESULTS |
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| DISCUSSION |
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The first hypothesis was affirmed by comparing the volumes actually targeted for radiation dose escalation in these patients using 18F-FDG PET with the volumes that would have been defined using gadolinium-enhanced MRI. Volumes defined by 18F-FDG PET were, on average, less than half those defined by the resection cavity plus MRI gadolinium enhancement (the most common technique for defining high-dose radiation volumes in GBM) (9). Even if the non-gadolinium-enhancing resection cavity was excluded in defining the MRI volumes, 18F-FDG PET volumes were still an average of 38% smaller. Furthermore, among the minority of patients for whom 18F-FDG PET and MRI volumes were quantitatively similar (less than 25% deviation), the concordance was low. The low CI verified the qualitative observation that 18F-FDG PET regions of interest overlapped some (but not all) regions of gadolinium enhancement on MRI but in some cases also extended outside the gadolinium enhancement into regions of abnormal T2-weighted signal on MRI. Such discordance has recently been described by other investigators and may be of prognostic significance (28).
Given the uniqueness of the 18F-FDG PET target volume, a further question is whether this volume actually represents the region most likely to result in improved clinical outcome by an escalating radiation dose in GBM. Ultimately, a randomized clinical trial would be needed to prove a clinical benefit from 18F-FDG PET guidance for radiation dose escalation. However, our preliminary analysis supported theprinciple of this technique by demonstrating that 18F-FDG PET volume was more significant than MRI volumes for predicting survival and TTP. This finding confirms those of other investigators. Goldman et al. (11) determined that areas of increased 18F-FDG PET activity corresponded well to biopsy-proven anaplastic tumor. Delbeke et al. (12) also found that the level of 18F-FDG PET activity corresponded well to pathologic tumor grade. Alavi et al. (13) found that 18F-FDG PET was predictive of survival in high-grade glioma, with patients having hypermetabolic lesions on PET imaging surviving a mean of 7 mo, versus 19 mo for patients with hypometabolic lesions. Likewise, in a study of 45 patients with grade III or IV gliomas imaged by 18F-FDG PET (14), a mean survival of 5 mo for hypermetabolic lesions was found, versus 19 mo for lesions with lower 18F-FDG uptake. A study performed by Barker et al. (15) of patients with recurrent high-grade gliomas showed 18F-FDG PET imaging to be predictive of survival on both univariate and multivariate analysis. In addition to these prior studies showing the level of 18F-FDG uptake in tumor to be predictive of survival, ours is the first study to show that the volume of 18F-FDG-avid tumor is also predictive of outcome. Although the 18F-FDG PET volumes were an indicator of a longer disease-free survival in our study, the rate of false-negative PET studies is worrisome. Four of the 6 patients with a negative PET scan after 4550 Gy had progressive disease. These 4 represented 25% (4/16) of all patients who progressed, suggesting that PET may identify a smaller cell burden than does MRI but is not an absolute indicator of absent disease.
Because 18F-FDG PET was used for targeting the extra 20 Gy of radiation, it was possible that an enhanced tumor kill could have masked the significance of the 18F-FDG PET volume as a prognostic variable. This potential confounding factor could have been exacerbated by the fact that 6 patients did not have an identifiable region of abnormal 18F-FDG uptake and did not receive the extra radiation dose beyond 59.4 Gy. However, even under these potentially confounding conditions, the volume of abnormal 18F-FDG uptake remained the most significant prognostic variable, strengthening the findings of this preliminary analysis.
Completion of accrual and further follow-up analysis will be needed to determine whether 18F-FDG PET-guided high-dose radiation treatment will be of greater benefit than standard radiotherapy in patients with GBM. The current results support the uniqueness of 18F-FDG PET targeting and confirm the significance of 18F-FDG PET volume as a prognostic variable for patients undergoing treatment for GBM.
| CONCLUSION |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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For correspondence or reprints contact: James G. Douglas, MD, Department of Radiation Oncology, University of Washington, 1959 N.E. Pacific St., Box 356043, Seattle, WA 98195-6043.
E-mail: drjay{at}u.washington.edu
| REFERENCES |
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