DOI:10.2214/AJR.07.2496
AJR 2007; 189:W324-W330
© American Roentgen Ray Society
CT and PET: Early Prognostic Indicators of Response to Imatinib Mesylate in Patients with Gastrointestinal Stromal Tumor
Clay H. Holdsworth1,2,
Ramsey D. Badawi3,
Judith B. Manola2,
Marie F. Kijewski4,
David A. Israel2,4,
George D. Demetri2 and
Annick D. Van den Abbeele2,4
1 Massachusetts College of Pharmacy and Health Sciences, 4 Brook Rd., Unit 11,
Salem, NH 03079.
2 Dana-Farber Cancer Institute, Boston, MA.
3 University of California Davis School of Medicine, Sacramento, CA.
4 Brigham and Women's Hospital, Boston, MA.
Received April 30, 2007;
accepted after revision June 19, 2007.
Address correspondence to C. H. Holdsworth
(clayholdsworth{at}yahoo.com).
The cohort for this study was a subset of the patients enrolled in a wider
multicenter trial supported by Novartis Oncology. G. D. Demetri serves as a
consultant for and receives honoraria from Novartis, Pfizer, and Johnson &
Johnson. He also receives research support from Novartis and Pfizer.
WEB This article is a Web exclusive article.
Abstract
OBJECTIVE. We report results from a pilot study aimed at optimizing
the use of CT bidimensional measurements and 18F-FDG PET maximum
standardized uptake values (SUVs-max) for determining response to
prolonged imatinib mesylate treatment in patients with advanced
gastrointestinal stromal tumors (GISTs).
SUBJECTS AND METHODS. Sixty-three patients enrolled in a multicenter
trial evaluating imatinib mesylate therapy for advanced GIST underwent FDG PET
at baseline and 1 month after initiation of treatment. Of these 63 patients,
58 underwent concomitant CT. Time-to-treatment failure (TTF) was used as the
outcome measure. Patients were followed up over a range of 23.7 to 37 months
(median, 31.7 months). The predictive power of change in CT bidimensional
measurements, change in PET SUVmax, and PET SUVmax at 1
month after initiation of treatment were determined, optimized, and compared.
The effectiveness of combining metrics was also evaluated.
RESULTS. Both a threshold PET SUVmax value of 2.5 at 1
month (p = 0.04) and the European Organization for Research and
Treatment of Cancer (EORTC) criteria for partial response on FDG PET (25%
reduction in PET SUVmax) at 1 month (p = 0.004) were
predictive of prolonged treatment success. The Southwest Oncology Group (SWOG)
criteria for partial response (3 50% reduction in CT bidimensional
measurements) at 1 month were not predictive (p = 0.55) of TTF.
Optimizing metrics improved results performance. An optimized PET
SUVmax threshold of 3.4 (p = 0.00002), a reduction in the
SUVmax of 40% (p = 0.002), and an optimized CT
bidimensional measurement threshold—that is, no growth from baseline to
1 month (p = 0.00005)—outperformed the existing standards
(i.e., EORTC and SWOG criteria). Combinations of metrics did not improve
performance.
CONCLUSION. The two best metrics were the optimized PET
SUVmax threshold of 3.4 at 1 month (p = 0.00002) and the
optimized CT bidimensional measurement threshold (no growth from baseline to 1
month, p = 0.00005) in this patient group.
Keywords: CT gastrointestinal stromal tumor imatinib mesylate oncologic imaging PET
Introduction
Gastrointestinal stromal tumor (GIST) is unresponsive to
conventional chemotherapy and may be unresponsive to radiation therapy as well
[1-3].
The receptor tyrosine kinase KIT is strongly expressed in GIST
[4,
5], and imatinib mesylate is a
competitive inhibitor of a specific ATP-binding site on KIT. Imatinib mesylate
therapy can be effective in treating GIST, but there is a subgroup of patients
whose tumors exhibit primary resistance to imatinib mesylate and another
subgroup who subsequently rapidly fail to respond to therapy
[6,
7].
The difference in metabolic activity after even a single dose of imatinib
mesylate can be shown on 18F-FDG PET scans and is often dramatic
[8,
9]. Little or no change can be
seen on corresponding CT images initially
[10], and over time, lesions
may become more noticeable due to lower attenuation
[11,
12]. Fewer than 15% of
patients exhibit primary resistance to imatinib mesylate or rapidly fail to
respond to therapy
[6-8].
Patients who initially respond to imatinib mesylate may, over an extended
period, develop secondary resistance to imatinib mesylate and the disease
subsequently progresses; however, their prognosis remains substantially better
than it would have been without imatinib mesylate therapy.
Objective response to therapy in oncology has commonly been defined using
Response Evaluation Criteria in Solid Tumors (RECIST)
[13] for unidimensional tumor
measurements using CT or Southwest Oncology Group (SWOG) criteria
[14], which uses CT
bidimensional measurements. RECIST requires a 30% reduction in unidimensional
measurements to meet the condition for partial response. This definition of
partial response corresponds directly to the SWOG criteria that specify a
3 50% reduction in CT bidimensional measurements to satisfy the
same condition.
Criteria for therapeutic response assessment have also been developed in
the context of functional imaging. The European Organization for Research and
Treatment of Cancer (EORTC) has defined guidelines for the use of PET using
FDG. These guidelines state that a 25% reduction in the maximum standardized
uptake value (SUVmax) should be considered as the threshold for
definition of partial response
[15,
16].
All of these criteria were originally defined for PET and CT evaluations of
prognosis in patients receiving cytotoxic drug therapy or undergoing radiation
therapy. Whether the use of such criteria after the initiation of therapy
using molecularly targeted kinase inhibitors is generally predictive of
outcome is not clear. The EORTC guidelines for partial response have been
shown to correlate with outcome in patients with advanced GIST when SUV is
measured 2 months after initiation of imatinib mesylate therapy
[10]. Similar results were
found when PET scans were obtained between 3 and 16 weeks after therapy start
[17].
In the literature, a cut point of 2.5 in the SUVmax for FDG PET
has also been used to assess response to imatinib mesylate treatment of GIST
and has been shown to correlate with outcome when measured 1 month after
initiation of imatinib mesylate therapy
[9,
18-20].
In contrast, standard CT criteria, such as the RECIST and SWOG criteria, have
not been found to be predictive of outcome
[21,
22]; however, thresholds
showing little or no reduction in CT bidimensional measurements at early time
points after initiation of treatment were found to correlate well with outcome
[10,
18].
The purpose of study was to evaluate and optimize the use of CT and FDG PET
at baseline and 1 month after therapy initiation as predictors of
time-to-treatment failure (TTF) in the context of imatinib mesylate treatment
of patients with advanced GIST. TTF is defined as the time from the first dose
of imatinib mesylate to the earliest occurrence of disease progression, death,
or discontinuation from the trial for any medical reason.
Subjects and Methods
Patient Population
The patient population consisted of 63 patients with advanced GIST enrolled
in a phase II trial evaluating imatinib mesylate therapy: 40 men (mean age, 54
years; range, 25-80 years) and 23 women (mean age, 56 years; range, 19-84
years). Patients were enrolled between June 2000 and March 2001. Twenty-seven
patients were treated using an initial dose of 400 mg per day of imatinib
mesylate, and 36 patients received 600 mg per day.
This study was approved by the institutional review board and performed in
an ambulatory setting in two tertiary care oncology academic centers
(Dana-Farber Cancer Institute and Brigham and Women's Hospital). Written
informed consent was obtained from all patients. The cohort for this study was
a subset of the patients enrolled in a wider multicenter trial supported by
Novartis Oncology.
Imaging
All 63 patients underwent FDG PET before treatment and 21-40 days after
initiation of therapy. Fifty-eight of these patients also underwent CT at
baseline and 21-40 days after initiation of therapy. All FDG PET data were
acquired on a tomograph (ECAT Exact HR+, Siemens/CTI). The mean dose given to
patients was 20 mCi (740 MBq) (range, 7-22 mCi [259-814 MBq]) for the baseline
scans and 20 mCi (740 MBq) (range, 16-27 mCi [592-999 MBq]) for the 1-month
scans. The mean time between FDG injection and the start of scanning was 51
minutes (range, 27-82 minutes) for baseline scans and 52 minutes (range, 27-87
minutes) for the 1-month scans.
The PET SUVmax value was calculated for the lesion with the most
intense uptake at baseline and was subsequently calculated for the same lesion
on follow-up scans. No corrections for partial volume effects, lean body mass,
or blood glucose levels were applied. Because of the substantial changes in
uptake, lesions were not always visible on follow-up images, and in these
cases, guidance for location of the lesion for PET SUVmax
calculations was obtained from the concomitant CT scan. All scans were
obtained after the patient had fasted for 6 hours.
CT data were acquired on an MDCT scanner (Somatom Volume Zoom, Siemens
Medical Solutions). Patients were asked to fast for 6 hours before scanning.
Oral contrast material (diatrizoate meglumine, 5.0 g, and diatrizoate sodium,
0.75 g, in a 500-mL aqueous solution) was administered approximately 150
minutes and then again 90 minutes before scanning. Immediately before
scanning, 100 mL of ioxilan (300 mg/mL) iodinated contrast material was
administered IV at a rate of 2 mL/s or slower in patients with limited IV
access. Scanning was performed from the thoracic inlet through the pelvis,
with the patient breath-holding during scanning of the chest and quietly
breathing during scanning of the abdomen and pelvis.
The nominal scanning parameters were as follows, with adjustments as
necessary for body habitus: beam current, 165 mAs; beam energy, 120 kVp; beam
collimation, 2.5 cm; and table speed, 5.4 cm/s. CT images were reconstructed
at 7.0-mm intervals. Images were examined using standard clinical window and
level settings, and measurable lesions, at least one lesion and up to 12
lesions per patient, were chosen by an experienced radiologist. Axial plane
measurements of the maximum diameter of the lesions and their maximal
perpendicular dimension were made in the standard fashion.
Outcome Measure
The outcome measure was TTF. It was defined as the time from the first dose
of imatinib mesylate to the earliest occurrence of disease progression, death,
or discontinuation from the trial for any medical reason. Patients for whom
the treatment had not failed according to this definition were censored at the
date of their last disease assessment. Four patients had to stop taking
imatinib mesylate because of medical complications independent of the
effectiveness of this drug on their disease. Because predicting these side
effects using imaging is not possible, these patients skew our results, but
only very slightly due to the small number of patients involved. Patients were
followed for up to 37 months after treatment initiation.
Prognostic Metrics
The following specific metrics about the single largest lesion for each
image were examined: first, percent change in CT bidimensional measurements
from baseline to 1 month after initiation of treatment; second, PET
SUVmax at 1 month after initiation of treatment; and, third,
percent change in PET SUVmax from baseline to 1 month after
treatment initiation. Thresholds that divided the patient population into
separate poor- and good-prognosis groups were used. These thresholds were
varied over the entire range of measured values to find the threshold that
yielded optimum performance for each metric.
The optimized thresholds were then compared with the following standards:
first,
50% reduction in CT bidimensional measurements from baseline to 1
month after initiation of treatment (SWOG criteria for partial response);
second, PET SUVmax of less than 2.5 at 1 month after initiation of
treatment (physiologic FDG uptake in tissue); and, third, 25% reduction in PET
SUVmax from baseline to 1 month after initiation of treatment
(EORTC guidelines for partial response). The performance of combinations of
metrics (i.e., PET SUVmax and CT bidimensional measurements) was
also investigated.
Statistical Analysis
The goal of this effort was to find an early prognostic imaging indicator
of treatment efficacy (i.e., TTF). To evaluate existing thresholds, including
SWOG and EORTC cutoffs for partial response, the p value from the
log-rank test was used. To identify thresholds for PET SUVmax and
CT bidimensional measurements at 1 month, recursive partitioning was used
[23]. In this method, the
maximally selected chi-square statistic is used to identify an optimal cut
point.

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Fig. 1A —Patient with gastrointestinal stromal tumor who responded to
imatinib mesylate treatment. Maximum-intensity-projection images obtained
before (A) and 1 month after (B) initiation of imatinib mesylate
therapy. Metabolic activity in large tumor masses in patient's liver is
reduced to normal levels after treatment initiation.
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Fig. 1B —Patient with gastrointestinal stromal tumor who responded to
imatinib mesylate treatment. Maximum-intensity-projection images obtained
before (A) and 1 month after (B) initiation of imatinib mesylate
therapy. Metabolic activity in large tumor masses in patient's liver is
reduced to normal levels after treatment initiation.
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Fig. 1C —Patient with gastrointestinal stromal tumor who responded to
imatinib mesylate treatment. Transaxial 18F-FDG PET images before
(C) and 1 month after (D) initiation of imatinib mesylate
therapy show that metabolic activity in tumor has decreased to normal levels
after treatment.
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Fig. 1D —Patient with gastrointestinal stromal tumor who responded to
imatinib mesylate treatment. Transaxial 18F-FDG PET images before
(C) and 1 month after (D) initiation of imatinib mesylate
therapy show that metabolic activity in tumor has decreased to normal levels
after treatment.
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Fig. 1E —Patient with gastrointestinal stromal tumor who responded to
imatinib mesylate treatment. Transaxial CT images obtained before (E)
and 1 month after (F) initiation of imatinib mesylate therapy show that
tumor is still present and has decreased very little in size.
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Fig. 1F —Patient with gastrointestinal stromal tumor who responded to
imatinib mesylate treatment. Transaxial CT images obtained before (E)
and 1 month after (F) initiation of imatinib mesylate therapy show that
tumor is still present and has decreased very little in size.
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Using this method, we selected the best from among many possible cut
points; therefore, evaluation of the p value from the log-rank
statistic would not accurately reflect the test's true error probability.
Instead, a permutation test in which the group classification variable was
randomly assigned to the actual TTF and indicator values for each patient was
used. For each permutation with random classification categories, the score
statistic from the Cox proportional hazards model was calculated and compared
with the score statistic from the correctly labeled patients. After 100,000
permutations, we calculated the proportion of times the permuted score
statistic was more extreme than the true score statistic and considered this
value to be an estimate of the p value. We illustrated distributions
of survival time and TTF using Kaplan-Meier plots. Cox proportional hazards
models were also used to explore the efficacy of using multiple metrics in
combination.
Imaging data were also analyzed by receiver operating characteristic (ROC)
techniques [25]. Two binary
classification tasks were defined by specifying survival thresholds of 180 and
365 days. Fifty-four patients with all imaging variables were included.
Imaging metrics were used as input to a publicly available continuous ROC
analysis program (ROCKIT, University of Chicago)
[24,
25]. Classification
performance was quantified using the area under the ROC curve.
Results
Example Images
Figures 1A,
1B,
1C and
1D are example images from our
data set that show a reduction of FDG uptake in large intraabdominal GIST
masses after 1 month of imatinib mesylate therapy. In contrast, little change
in tumor size is seen on the corresponding CT images (Figs.
1E and
1F), even though treatment was
successful according to clinical criteria. Figures
2A and
2B show an example of a patient
from our study group with GIST who did not respond to imatinib mesylate
therapy: In this case, the tumors increased in size, and new lesions formed.
These changes can also be seen on the corresponding CT images in Figures
2C and
2D.

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Fig. 2A —Patient with gastrointestinal stromal tumor (GIST) who did not
respond to imatinib mesylate treatment. 18F-FDG PET images obtained
before (A) and 1 month after (B) initiation of imatinib mesylate
show that metabolic activity in tumor has increased and patient's GIST is
unresponsive to imatinib mesylate treatment.
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Fig. 2B —Patient with gastrointestinal stromal tumor (GIST) who did not
respond to imatinib mesylate treatment. 18F-FDG PET images obtained
before (A) and 1 month after (B) initiation of imatinib mesylate
show that metabolic activity in tumor has increased and patient's GIST is
unresponsive to imatinib mesylate treatment.
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Fig. 2C —Patient with gastrointestinal stromal tumor (GIST) who did not
respond to imatinib mesylate treatment. Transaxial CT images corresponding to
A and B before (C) and 1 month after (D)
initiation of imatinib mesylate therapy show two tumors (arrows) on
far right side of these images that had tripled in size according to CT
bidimensional measurements in 1 month.
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Fig. 2D —Patient with gastrointestinal stromal tumor (GIST) who did not
respond to imatinib mesylate treatment. Transaxial CT images corresponding to
A and B before (C) and 1 month after (D)
initiation of imatinib mesylate therapy show two tumors (arrows) on
far right side of these images that had tripled in size according to CT
bidimensional measurements in 1 month.
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Optimization of Imaging Metrics
Figure 3A shows the
predictive power of using an optimized threshold for percent reduction in CT
bidimensional measurements (no reduction in bidimensional tumor area) at 1
month. Percent reduction in CT bidimensional measurements with an optimized
threshold (i.e., no growth) results in a large and highly significant split
between the two populations (p < 0.0001). This measure is a
significant improvement over SWOG criteria for partial response, which were
not predictive of successful treatment with imatinib mesylate (p =
0.55).

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Fig. 3A —Kaplan-Meier plots of population split (n = 58). Plot shows
data obtained using optimized threshold of 0% reduction (or lack of growth) in
CT bidimensional measurements from baseline to 1 month after initiation of
therapy.
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Fig. 3B —Kaplan-Meier plots of population split (n = 58). Plot shows
data obtained using previously determined threshold of 5% reduction
[10] in CT bidimensional
measurements from baseline to 2 months after initiation of therapy.
(p < 0.0001, log-rank statistic)
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Log-rank analysis was also performed using a threshold of a 5% reduction in
CT bidimensional measurements determined at 2 months after the start of
therapy that was reported in a previous study
[10]. The log-rank p
value for that threshold was again less than 0.0001; the results are shown in
Figure 3B.
Kaplan-Meier plots for percent reduction in PET SUVmax between
baseline and 21-40 days are shown in
Figure 4A. EORTC guidelines
(i.e., 25% reduction in PET SUVmax) were predictive of outcome
(p = 0.004). The performance of the percent reduction in PET
SUVmax test was improved using the optimal threshold of 40%
reduction (p =0.002); however, the improvement in performance was
smaller than the improvement for other imaging measures.

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Fig. 4A —Kaplan-Meier plots of population split (n = 58) using
different thresholds. Plot shows data obtained using optimized threshold of
40% reduction in maximum standardized uptake value (SUVmax) on
18F-FDG PET from baseline to 1 month after initiation of
therapy.
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Kaplan-Meier plots for using a PET SUVmax threshold of 3.4 at
21-40 days after initiation of treatment are shown in
Figure 4B. The standard PET
SUVmax threshold of 2.5 generated a significant split in the
population (p = 0.04); however, that threshold was not as effective
as EORTC guidelines and was not nearly as effective as the optimized metrics.
The optimized PET SUVmax threshold of 3.4 generated a split of very
high significance (p < 0.0001). This is approximately equivalent
to results obtained using no reduction in CT bidimensional measurement at 1
month. Baseline PET SUVmax and baseline CT bidimensional
measurement values were not predictive of treatment success.

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Fig. 4B —Kaplan-Meier plots of population split (n = 58) using
different thresholds. Plot shows data obtained using optimized FDG PET
SUVmax threshold of 3.4 at 1 month after initiation of therapy.
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Fig. 5 —Time-to-treatment failure (TTF) curves for four populations
(n = 58) defined by optimized maximum standardized uptake value
(SUVmax) on 18F-FDG PET success and optimized CT
bidimensional measurement success, SUVmax failure and CT
bidimensional measurement failure, SUVmax success and CT
bidimensional measurement failure, and SUVmax failure and CT
bidimensional measurement success.
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Combinations of Metrics
Figure 5 shows a
combination of the two best metrics. Only one patient had a low PET
SUVmax and an increase in CT bidimensional measurements. In that
patient, treatment failed due to drug toxicity, a factor that is not likely to
be predicted on the basis of imaging. Six patients had a high PET
SUVmax and no growth in CT bidimensional measurements. In all six
patients, the treatment failed, within the first year in four patients. This
finding suggests that the optimized PET SUVmax at 1 month is a
slightly more effective metric, but optimized CT bidimensional measurement
has, nevertheless, proved to be a powerful prognostic indicator. Further
investigation using a Cox proportional hazards model supports a lack of
independent information among all metrics, suggesting that little information
is gained by combining them.
A summary of performance of the evaluated metrics is shown in
Table 1. Median TTFs for the
predicted treatment success groups and predicted treatment failure groups for
the various indicators are included.
ROC Analysis
ROC analysis was also performed on the data. Percent change in PET
SUVmax at 1 month after initiation of treatment, PET
SUVmax at 1 month, and percent change in CT bidimensional
measurements at 1 month were used to discriminate patients for whom treatment
would fail less than 180 days after the initiation of treatment from those who
would survive more than 180 days after the initiation of treatment.
Performance was quantified by the area under the ROC curve and found to be
0.850 ± 0.056 (mean ± standard error [SE]) for percent change in
PET SUVmax from baseline to 1 month, 0.874 ± 0.047 for PET
SUVmax at 1 month, and 0.857 ± 0.080 for percent change in
CT bidimensional measurements from baseline to 1 month.
This analysis was repeated for 1-year survival. The area under the ROC
curve was 0.676 ± 0.084 for percent change in PET SUVmax
from baseline to 1 month, 0.711 ± 0.075 for PET SUVmax at 1
month, and 0.770 ± 0.080 for percent change in CT bidimensional
measurements from baseline to 1 month.
Discussion
The data presented here indicate that conventional objective response
criteria defined by SWOG for percent change in CT bidimensional measurements
after 1 month of treatment were not useful early indicators of outcome in the
patient population examined. EORTC criteria for FDG PET were predictive of
outcome, but substantial improvements can be obtained by optimizing the choice
of threshold and metric for both CT and FDG PET.
No growth or reduction in CT bidimensional measurement determined at 1
month after therapy initiation was an effective indicator of prolonged
treatment success in this patient group, with no significant difference in
predictive power compared with the best PET metric (PET SUVmax
3.4 at 1 month). No combination of metrics could outperform the threshold of
3.4 in PET SUVmax at 1 month.
These conclusions would be strengthened by validation in an independent
data set; however, the plausibility of the zero growth threshold for CT
bidimensional measurements is improved by the broadly similar findings from
other groups [10,
26]—namely, the use of a
5% reduction threshold in CT bidimensional measurements at 2 months in a
similar patient group [10] was
also predictive of outcome. The difference between the thresholds found may be
due to statistical sampling error or to the difference in imaging time points.
However, we note that a 5% threshold at 1 month was also predictive of outcome
in our data set.
Of note, the median reduction in CT bidimensional measurements of 34% at 1
month is large, suggesting that it may be possible to use CT as a prognostic
metric at even earlier time points after therapy initiation. Care would be
needed because there is anecdotal evidence that GIST lesions may swell as they
begin to respond to imatinib mesylate, but the use of measurements of cystic
changes in combination with size criteria may possibly ameliorate the risk of
misclassification [12]. It is,
of course, highly unlikely that CT could be used as early as FDG PET, which
has shown strong responses as early as 24 hours after therapy initiation
[18].
With the advent of targeted therapies, there is a need to develop
prognostic metrics that can stratify a population into groups who may benefit
from therapy and those who may not. Significant efforts have been undertaken
to apply molecular or genomic markers in this context: The use of epidermal
growth factor receptor (EGFR) overexpression, mutations, and polysomy as
outcome predictors for therapy with the EGFR tyrosine kinase inhibitor
erlotinib is a prime example
[27,
28]. However, the specificity
and practicality of such prognostic tests are not perfect, and it is
reasonable to look for additional imaging biomarkers that can also be used
either prospectively or shortly after therapy initiation. The results
presented here are applicable only to the use of imatinib mesylate therapy in
GIST, but they are encouraging and strongly suggest the need for further work
on imaging biomarkers for use with other targeted therapies.
Our results show that conventional objective response criteria are not
generally applicable to prognosis in therapies involving the new generation of
molecularly targeted agents such as imatinib mesylate. This finding suggests
that similar studies should be performed for each new therapeutic agent, at
least until it can be determined whether the results found here are generally
applicable to this class of therapeutic agents.
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