| Low
Grade Glioma: A Measuring Radiographic Response to Radiotherapy
Glenn
Bauman, Peter Pahapill, David Macdonald, Barbara Fisher, Christopher
Leighton and Gregory Cairncross
ABSTRACT:
Purpose: We set out to determine the rate of response
of low-grade (WHO Grade II) gliomas to radiotherapy and analyze
the relationship between radiographic response, symptom control
and patient survival. Methods: Patients were eligible
for this study if they had received radiotherapy for pathologically
confirmed, residual, supratentorial low-grade astrocytoma, oligodendroglioma,
or mixed glioma, and imaging studies (baseline and follow-up)
were available for review. Percent change in tumor size and
rate and timing of response were determined by maximum linear
measurement, area measurement, volume measurement using an ellipsoid
model, and volume measurement by image segmentation. For each
method, response to radiotherapy was defined firstly as a
50% decrease in tumor size (partial response), and secondly
as a decrease equivalent to a 50% area decrease (normalized
partial response). Relationships between radiographic response,
clinical improvement and progression-free survival were analyzed
using a Cox Proportional Hazard's model. Results:
Twenty-one patients in a database (13 male, 8 female; ages 22-66
years) met the eligibility criteria. Twenty were imaged by computed
tomography, 18 had an astrocytoma and 15 were irradiated soon
after surgery. Responses were common and not felt to be due
to a steroid effect. Use of normalized response criteria improved
agreement between assessment of response as determined by the
4 methods. Median time to maximum radiographic improvement was
2.8 months (range, 1.5-11). Sixteen patients (76%) were improved
neurologically, the median time to progression was 4.8 years
and the 5-year progression-free survival rate was 43%. We did
not detect a statistically significant association between response
(as measured by any method), symptomatology and progression-free
survival. Conclusions: Low-grade gliomas are moderately
radioresponsive. Use of volume measurement may over-estimate
the number of partial responses unless a volume reduction equivalent
to a 50% area decrease is used to define response. The best
way to measure response remains uncertain because neither visual,
area, nor volume changes confidently predicted clinical outcomes.
Résumé:
Gliome de basse malignité: mesure radiologique de
la réponse à la radiothérapie. But:
Notre objectif était de déterminer le taux de
réponse des gliomes de basse malignité (OMS grade
II) à la radiothérapie et d'analyser la relation
entre la réponse radiologique, le contrôle des
symptômes et la survie. Méthodes: Les
patients étaient éligibles à l'étude
s'ils avaient reçu de la radiothérapie pour un
astrocytome, un oligodendrogliome ou un gliome mixte supratentoriel
résiduel de basse malignité confirmé par
anatomopathologie et si des études d'imagerie (avant
traitement et au cours du suivi) étaient disponibles.
Le pourcentage de changement dans la taille de la tumeur, le
taux et le moment de la réponse ont été
déterminés par mesure linéaire maximum,
mesure de la surface, mesure du volume au moyen d'un modèle
ellipsoïde et mesure du volume par segmentation d'image.
Pour chaque méthode, la réponse à la radiothérapie
a été définie premièrement comme
une diminution de
50% de la taille de la tumeur (réponse partielle), et
deuxièmement comme une diminution équivalente
à une diminution de 50% de la surface (réponse
partielle normalisée). Les relations entre la réponse
radiologique, l'amélioration clinique et la survie sans
progression ont été analysées au moyen
du modèle de régression des hasards proportionnels
de Cox. Résultats: Vingt et un patients
dont les observations étaient consignées dans
la base de données (13 hommes et 8 femmes, âgés
de 22 à 66 ans) remplissaient les critères d'inclusion.
Chez vingt, une étude tomodensitométrique avait
été faite. Dix-huit avaient un astrocytome et
15 ont reçu de la radiothérapie peu après
la chirurgie. La réponse au traitement était fréquente
et n'a pas été attribuée à un effet
stéroïdien. L'utilisation d'un critère de
réponse normalisé a amélioré la
concordance entre les évaluations de la réponse
par les 4 méthodes utilisées. La médiane
du temps écoulé jusqu'à l'amélioration
radiologique maximum était de 2.8 mois (de 1.5 à
11). Seize patients (76%) avaient une amélioration neurologique,
la médiane du temps écoulé sans progression
était de 4.8 ans et le taux de survie sans progression
sur une période de 5 ans était de 43%. Nous n'avons
pas détecté une association significative au point
de vue statistique entre la réponse (quelle que soit
la méthode de mesure), la symptomatologie et la survie
sans progression. Conclusions: Les gliomes de
basse malignité répondent modérément
à la radiothérapie. L'utilisation de la mesure
du volume peut surestimer le nombre de réponses partielles
si une réduction du volume équivalente à
une diminution de la surface de 50% est utilisée pour
définir une réponse positive au traitement. Le
meilleur moyen de mesurer la réponse demeure indéterminé
parce que ni les changements de l'aspect, de la surface ou du
volume n'ont pu prédire de façon fiable l'évolution
clinique.
For
decades, the principal postsurgical treatment for low-grade
(WHO Grade II) astrocytomas, oligodendrogliomas and mixed gliomas
has been radiation,1,2 and yet, there are few data
in the literature describing the patterns of response of low-grade
gliomas to radiotherapy, and no standard method for evaluating
response. In this study, we examined the frequency, magnitude
and time course of changes in tumor size after radiation in
a cohort of patients with low-grade glioma and analyzed symptomatic
improvement and progression-free survival as a function of radiographic
response as estimated by four different techniques of measurement.
MATERIALS
AND METHODS
Patient
Selection and Treatment
Patients
in this analysis were selected from a low-grade glioma database
of 167 patients (1979-1995) compiled by Leighton and colleagues.2
Eligibility criteria were set out in advance and included: pathologically
verified supratentorial low-grade fibrillary astrocytoma, oligodendroglioma,
or mixed glioma diagnosed between 01 January 1988 and 31 December
1995; age
18 years; treatment with radiotherapy; and a computed tomography
(CT) or magnetic resonance (MR) scan prior to radiation demonstrating
measurable tumor and at least one post-radiotherapy follow-up
scan. Complete resection, unavailable or poor quality scans,
radiotherapy elsewhere or prescribed for malignant transformation,
or chemotherapy concurrent with radiotherapy rendered patients
ineligible for this study. Age at diagnosis, gender, tumor location,
tumor pathology and Karnofsky performance status (KPS) after
surgery were retrieved from the database; extent of resection
was estimated by comparing pre- and post-operative scans and
designated a biopsy (
25% removed) or partial resection (
25% removed). All patients were treated with local field megavoltage
(> 1.0 MV) radiation to doses from 5,000-6,000 cGy at 180-200
cGy/fraction over 5-6 weeks. Radiotherapy was delivered immediately
after surgery or at the time of tumor progression following
a period of observation. Patients were rescanned one month after
completing radiotherapy and at 4-6 month intervals thereafter,
or as dictated by clinical circumstances. Progression-free survival
was defined as the interval from the start of radiotherapy to
the date of tumor progression (as evidenced by clinical and
radiographic tumor progression), or to the date of last follow-up.
Assessment
of Tumor Size
For
this analysis, the low density lesion on CT or the T2 abnormality
on MR defined the tumor; foci of contrast enhancement within
the lesion were evaluated separately. Tumor size pre- and post-radiotherapy
was measured four ways: by using a segmentation model to approximate
volume [( slice
areas) x CT/MR slice thickness]; by using an ellipsoid model
to approximate volume [ /6
x the product of the three largest perpendicular diameters],
by calculating the product of the largest cross-sectional diameters
on a transverse CT/MR image to approximate area and by measuring
the largest linear dimension only. To measure response, the
scan demonstrating the greatest size reduction after radiotherapy
was used.
Response
Evaluation and Statistical Considerations
Neurologic
symptoms (seizures, headaches, focal deficits) post-radiotherapy
were judged to be improved, unchanged, or worse by retrospective
review of the patient's chart. Patients with decreased headaches
or focal deficits or decreased frequency of seizures and who
were on stable or decreasing doses of steroids post-radiotherapy
were scored as "improved". Those with worse symptoms post-radiotherapy
were scored as "worse". Those with stable or those with improved
symptoms but increased steroids were scored "stable". Two definitions
of partial response were considered. "Partial response" for
any of the techniques of measurement was defined as a 50% reduction
on the best post-radiotherapy scan versus the post surgical,
pre-radiotherapy scan. Since a 50% volume reduction requires
a smaller change in the overall dimensions as compared to a
similar area reduction (and a 50% linear reduction corresponds
to a larger area reduction) a "normalized partial response"
was defined. The volume reduction and linear reductions corresponding
to a 50% area reduction of a sphere are 65% and 30% respectively.
Therefore, a "normalized partial response" for volume measurements
was defined as a 65% or greater reduction and for linear measurements
was defined as a 30% or greater reduction. By definition, the
"normalized partial response" for area measurements remained
at 50%. Partial responses and normalized partial responses between
the four techniques of measurement was compared by Kappa Statistics.
Absolute pre- and post-RT volumes and percent volume decreases
as measured by the ellipsoid and segmentation methods were compared
by student t-test and Pearson correlation coefficient. The relationship
between radiographic response and clinical improvement was examined
using the chi-squared test and the relationship between radiographic
response and progression-free survival was analyzed using a
Cox Proportional Hazards model. For each patient, steroid doses
at the time of the baseline scan and follow-up scan used to
assess response were recorded.
RESULTS
Patient
Demographics
Twenty-one
patients (13 male; 8 female) were eligible for this study; their
median age at the start of radiotherapy was 39 years (range,
22-66). Twenty patients were imaged by CT, one by MR, and four
had tumors that contained contrast-enhancing areas. The initial
surgical procedure was a biopsy in 14 and subtotal resection
in seven. Eighteen patients had an astrocytoma, one had an oligodendroglioma
and two had a mixed glioma (i.e., oligoastrocytoma). Fifteen
were irradiated immediately and six were treated at progression
8-141 months (median, 20) after diagnosis. The median treatment
dose was 5,400 cGy (range, 5,040-6,000); the median number of
fractions was 30 (range, 28-30); the median duration of follow-up
was 52 months (range, 6-98); the median number of post-treatment
scans available for review per patient was 8 (range, 2-13);
and the median number of days from the start of radiotherapy
to the post-treatment scan used to assess response was 87 (range,
49-340). Forty-one patients were excluded from this analysis
for the following reasons: 11 had complete resections; 14 received
radiotherapy elsewhere; two had palliative radiotherapy only;
nine were treated for malignant transformation; two received
chemotherapy concurrent with radiotherapy; and three had insufficient
follow-up or poor quality scans.
Effects
of Radiation on Symptoms and Tumor Size
Sixteen
of 21 patients (76%) were improved neurologically following
radiotherapy; seizures, in particular, often improved. Baseline
and post-treatment tumor measurements are summarized in Table
1.There was a significant correlation between tumor size
(both pre- and post-radiotherapy) as measured by the four methods.
In particular, tumor size as assessed by maximum tumor diameters
(linear, area, ellipsoid methods) were strongly correlated,
as might be expected (correlation coefficients: 0.82 - 0.95;
p < 0.005). Tumor size as assessed by image segmentation
was less strongly correlated with the other methods (correlation
coefficients: 0.51 - 0.94; p < 0.05) reflecting the inaccuracy
of spherical/ellipsoid models in approximating a complex tumor
shape like an infiltrating glioma. In particular, tumor volume
estimates before and after radiation were larger using the ellipsoid
approximation than the segmentation method, especially for larger
tumors with complex shapes. Correlation between the two volume
methods were 0.622 (p = 0.003) and 0.943 (p = 0.000) for the
pre- and post-treatment volumes respectively.
There
was a statistically significant correlation between linear,
area and volume assessments of percent change in tumor size
(correlation coefficients: 0.78 - 0.92, p < 0.003). Rates
of response, (partial and normalized partial response) are summarized
in Table
2. As anticipated use of a 50% cutoff resulted in a larger
number of partial responders as assessed by the volumetric (ellipsoidal
and segmented) methods of measurement and a fewer number of
responders when a single linear measurement was used. Use of
the normalized 50% response criteria generally improved the
agreement between response as assessed by the four methods of
measurement (Table
3). Disagreement between the ellipsoid and segmentation
methods of assessing volume response existed even with the normalized
partial response criteria. Most of the disagreement occurred
at response levels close to the normalized partial response
cutoff where small differences in volume as assessed by the
two methods led to disagreement in detecting responders (Figure).
Since gliomas are not uniformly shaped tumors, this disagreement
was not unexpected. If response is to be determined on the basis
of volume changes, the segmentation techniques may be preferable
over the simpler (but less precise) ellipsoid approximation
of tumor volume as the ellipsoid method tended to "overcall"
responders.
The
median time to maximum response was 2.8 months (range, 1.5-11).
CT images worsened transiently in two patients, one before and
one after maximum response; both had low grade tumors when re-biopsied,
improved spontaneously and did well subsequently. Foci of contrast
enhancement decreased in size in the three patients in whom
this radiographic feature could be assessed longitudinally.
For patients in this study, the median time to tumor progression
calculated from the start of radiotherapy was 4.8 years (5.2
years from diagnosis) and the 5-year progression-free survival
rate was 43%. These results were comparable (not statistically
different) from the larger database of patients with low grade
glioma from which our subset was taken. Nineteen patients were
off steroids or on a lower dose at the time of the scan used
to assess response; one responder (50% change) and one non-responder
(< 25% change) were on a higher dose.
Clinical
Endpoints vs. Radiographic Response
By
all methods of evaluation, more partial responders improved
symptomatically than non-responders, but in no instance did
the association between radiographic response (by any method)
and clinical improvement reach statistical significance. Small
sample size and the retrospective assessment of clinical improvement
may have contributed to this lack of statistical significance.
Likewise, there was no statistically significant link between
radiographic response and baseline tumor size, percent size
decrease, response rate, or progression-free survival.
DISCUSSION
This
study suggests that low-grade gliomas are moderately radioresponsive
neoplasms. Partial responses were common and not a steroid effect.
Neurologic symptoms and computed tomography images improved
within three months in most instances. Our finding that low-grade
gliomas often respond to radiotherapy is consistent with earlier
work. Eyre et al.3 reported that 80% (15/19) of patients
in the control arm of a randomized trial evaluating chemotherapy
for incompletely resected low-grade glioma responded to radiation.
Response in this CT-based study was defined as neurologic improvement
accompanied by a 50% or greater decrease in the tumors' maximum
cross-sectional area. Using similar criteria, Lunsford et al.4
reported that 46% (17/35) of patients with low-grade responded
to radiotherapy; in our study, clinical improvement and a 50%
or greater decrease in maximum cross-sectional area were observed
in 52% (11/21). We do not know whether our findings with respect
to changes in tumor size and rates of response to radiotherapy
can be generalized to all patients with low-grade glioma, as
this study was conducted retrospectively. However, the median
progression-free survival time for patients in this analysis
was similar to that of all patients with low-grade glioma seen
at our centre since 1979 (5.2 vs. 4.9 years), an observation
suggesting that the patients in this study were a representative
subset of the larger group.
Although
statistically speaking, visual, area and volume determinations
of percent change in tumor size and rates of partial response
were similar, numerical values differed considerably. In general,
methods that relied on measurement of 1-3 tumor diameters were
well correlated among each other but less so with a precise
volume determination as accomplished by image segmentation.
A 3-dimension measurement (ellipsoid method) correlated the
best with the image segmentation but still tended to overestimate
tumor size.
As
pointed out by Chapell et al.,5 application of a
50% response criterion to volume changes can inflate response
rates as compared to area measurements purely on mathematical
grounds (volumeaarea3/2). We confirmed that volume
models rendered liberal interpretations of percent change in
tumor size and response when conventional 50% response criteria
were applied. Use of response criteria normalized to a 50% decrease
in area (normalized partial response) improved agreement between
response as measured by changes in maximum linear size, area
or volume of the tumor. In general the ellipsoid and image segmentation
assessments of normalized partial response agreed except for
borderline responders where subtle differences in volumes arose
between the two methods. The ellipsoid model has the advantage
of ease of use over image segmentation which can be quite time
consuming to accomplish, however the ellipsoid measurement may
be inaccurate particularly in these "borderline" responders.
However, until it can be demonstrated that the precision of
volume measurements with image segmentation predicts clinical
improvement or progression-free survival more accurately than
the ellipsoid, or area approximations, all methods of assessing
response may be of equal value. While the optimal method for
measuring the effects of radiation or other therapies on glial
tumors remains uncertain it is evident from this analysis that
response rates as reported in Phase II clinical trials6
may be influenced by tumor measurement techniques. As a consequence,
the method of determining response must be stated explicitly
in the methods section of brain tumor studies to facilitate
response rate comparisons between older series (where visual
or area measurements were used) and newer ones (where volumetric
measurements are more common). In particular, if tumor volume
measurements are used, response rates should be normalized to
those conventionally used for changes in tumor area (i.e., a
65% volume reduction) and the method used to determine volume
stated. Ideally, area-based response rates should also be reported
in conjunction with volume-based response rates to facilitate
comparisons between series. Use of such "normalized partial
response" criteria would help avoid the possibility of overcalling
(or undercalling) responders and in doing so mistake a measurement
artifact for a therapeutic effect.
We
observed no correlation between size reduction and patient outcome,
a recurring theme in neuro-oncology. Many investigators now
question whether tumor shrinkage is an important measure of
treatment effect for glial tumors.7 In this regard,
three recent studies are of interest. For oligodendrogliomas
treated with PCV, Cairncross and colleagues8 observed
long progression-free intervals for complete and major partial
responders (
90% area decrease) whereas times-to-progression were similar
for patients with partial responses (50%) and stable disease.
Cairncross and Eisenhauer9 speculated that neuro-oncologists
would not detect a relationship between radiographic response
and tumor control until highly effective therapies generating
substantial numbers of complete responses emerged. Experience
with chemotherapy for embryonal tumors of the CNS supports this
hypothesis. Galanis et al.10 observed that platinum-based
regimens induced complete remissions with long periods of tumor
control, whereas nitrosourea-based therapies rarely induced
complete responses and progression-free intervals were indistinguishable
for patients with partial response (
50% area decrease) or stable disease. Similarly, using CT scanning
and visual evaluation of high grade glioma, Barker et al.11
observed that unequivocal responders to radiotherapy lived significantly
longer than patients with unequivocal tumor progression, while
noting similar durations of survival for those with minor scan
improvement, minor scan worsening, or stable disease. Future
studies with larger numbers of patients with low-grade glioma
to enhance statistical power, or conducted prospectively and
using MR imaging, may yet demonstrate a direct relationship
between radiographic response and clinical endpoints; however
we were unable to detect such an effect.
Acknowledgement
The
authors thank Jo-Ann Pelletier for technical assistance and
Pat Gray for preparing the manuscript.
REFERENCES
- Shaw
EG, Daumas-Duport C, Scheithauer BW, Gilbertson DT, O'Fallon
JR, et al. Radiation therapy in the management of low-grade
supratentorial astrocytomas. J Neurosurg 1989; 70: 853-861.
- Leighton
C, Fisher B, Bauman G, Depiero S, Stitt L, et al. Supratentorial
low grade glioma in adults: an analysis of prognostic factors
and timing of radiation. J Clin Oncol 1997; 15: 1294-1301.
- Eyre
HJ, Crowley JJ, Townsend JJ, Eltringhan JR, Morantz RA, et
al. A randomized trial of radiotherapy versus radiotherapy
plus CCNU for incompletely resected low-grade glioma: a Southwest
Oncology Group Study. J Neurosurg 1993; 78: 909-914.
- Lunsford
LD, Somaza S, Kondziolka D, Flickenger JC. Survival after
stereotactic biopsy and radiation of cerebral non-neoplastic,
non-pilocytic astrocytoma. J Neurosurg 1995; 82: 523-529.
- Chapell
SR, Miranpuri SS, Mehta MP. Dimension in defining tumor response.
J Clin Oncol 1998; 16(3): 1234-1239.
- Grossman
SA, Wharam M, Sheidler V, Kleinberg L, Zeltzman M, et al.
Phase II study of continuous infusion carmustine and cisplatin
followed by cranial irradiation in adults with newly diagnosed
high-grade astrocytoma. J Clin Oncol 1997; 15: 2596-2603.
- Grant
R, Liang BC, Slattery J, Greenberg HS, Junck L. Chemotherapy
response criteria in malignant glioma. Neurology 1997; 48:
1336-1340.
- Cairncross
G, Macdonald D, Ludwin S, Lee D, Cascino T, et al. Chemotherapy
for anaplastic oligodendroglioma. J Clin Oncol 1994; 12: 2013-2021.
- Cairncross
G, Eisenhauer E. Response and control &endash; lesions from
oligodendroglioma. J Clin Oncol 1992; 10: 672.
- Galanis
E, Buckner JC, Schomberg PJ, Hammack JE, Raffel C, et al.
Effective chemotherapy for advanced CNS embryonal tumors in
adults. J Clin Oncol 1997; 15: 2939-2944.
- Barker
FG, Prados MD, Chang SM, Gutin PH, Lamborn KR, et al. Radiation
response and survival time in patients with glioblastoma multiforme.
J Neurosurg 1996; 84: 442-448.
-
|
From
the Departments of Oncology (G.B., D.M., B.F., C.L., G.C.)
and Clinical Neurological Sciences (P.P., D.M., G.C.),
University of Western Ontario, and London Regional Cancer
Centre (G.B., D.M., B.F., C.L., G.C.), London, Ontario.
Received
April 9, 1998. Accepted in final form July 15, 1998.
Reprint
requests to: Glenn Bauman, Department of Radiation Oncology,
London Regional Cancer Centre, 790 Commissioners Road,
East, London, Ontario, Canada N6A 4L6
|
|
Can.
J. Neurol. Sci. 1999; 26:18-22
|
|