Lei Tang1, Jian Li2, Ying-Shi Sun1, Xiao-Ting Li1, Zi-Yu Li3, Xiao-Yan Zhang1, and Lin Shen 2
1Radiology, Peking University Cancer Hospital & Institute, Beijing, China, People's Republic of, 2GI medicine, Peking University Cancer Hospital & Institute, Beijing, China, People's Republic of, 3GI surgery, Peking University Cancer Hospital & Institute, Beijing, China, People's Republic of
Synopsis
The percentage changes of the ADC in GIST after two
weeks of targeted therapy exhibited reliable performance in response
prediction, and these variables outperformed T2WI-CNR and the longest diameter.
We suggest that patients continue their treatment regimens if the percentage
increases in the ADC are no less than 15% after two weeks of therapy. In
contrast, if the ADC decreases or exhibits almost no change, then a shortening
of the follow-up time intervals is highly recommended to detect possible drug
resistance at an early stage.Objective
To investigate the performance of quantitative indicators provided by
MRI in the early prediction of the response of gastrointestinal stromal tumor (GIST)
to targeted therapy in a patient-based study.
Methods
MRI examinations were performed on 62 patients with GIST on 1.5T
scanners before and at two and 12 weeks after treatment with targeted agents. The
longest diameter (LD) and contrast-to-noise
ratio (CNR) of the tumors were measured with T2-weighted imaging (T2WI), and the
apparent diffusion coefficient (ADC) was measured with diffusion-weighted imaging
(DWI, b = 0 and 1000 s/mm2).
Patients
with a maximum of two lesions per organ/site and five lesions total were
enrolled, and the quantitative parameters were averaged according to RECIST 1.1
criteria. The patients were classified as having a good response (GoodR) if the
target lesions exhibited a 10% or greater reduction in the longest diameter or
displayed apparent cystic or myxoid degeneration after three months of therapy;
otherwise, they were considered as having a poor response (PoorR), according to
the combined Choi and EORTC-ISG-AGITG criteria [1].
The pre-therapy
values and early percentage changes (%Δ) of the three averaged parameters were compared
regarding their ability to differentiate the good response (GoodR) from the poor
response (PoorR) cases, using receiver operating characteristic (ROC) curves.
Results
A total of 62 patients with 141 lesions were enrolled in the study. There
were 42 patients in the GoodR group and 20 in the PoorR group.
No significant
differences in the three baseline
parameters were found between the
GoodR and PoorR groups (ADC: 1.18 ± 0.27× 10-3 mm2/s vs.
1.17 ± 0.31× 10-3 mm2/s,
P = 0.946; LD: 70.58 ± 33.40 mm vs. 59.16
± 40.55 mm, P = 0.245; T2WI-CNR: 39.28
± 22.62 vs. 30.32 ± 18.19, P = 0.127).
After two weeks of therapy, the
percentage changes in the ADC and LD were significantly different between the
two groups (ADC: GoodR 30% vs. PoorR 1%, Z = -4.819, P < 0.001; LD: GoodR -7% vs. PoorR -2%, Z = -3.238, P = 0.001), but percentage changes in T2WI-CNR
were not significantly different (GoodR -3% vs. PoorR 9%, Z = -0.663, P = 0.508).
ROC curves revealed
that the AUCs for the pre-therapy LD, T2WI-CNR and ADC were 0.644, 0.615 and 0.508,
respectively (Figure 1), whereas the AUCs for the percentage changes of LD,
T2WI-CNR and ADC after two weeks of therapy were 0.756, 0.552 and 0.881,
respectively (Figure 2), in the differentiation of response groups. When %ΔADC
≥ 15% was taken to predict a GoodR, the PPV was 93.3% (a
typical case is shown in Figure 3);
when %ΔADC ≤ 1% was taken to predict a PoorR, the PPV was 85.7% (a typical case is shown in Figure 4).
Discussion
Recent studies have confirmed the potential value of DWI predicting the
responses of malignant tumors to anticancer therapies [2]. To our knowledge,
this study is the first patient-based research investigating the response prediction
of GIST to targeted therapy using DWI, which has better clinical applicability
than the previous lesion-based studies.
We investigated the
practical threshold of %ΔADC to provide additional information for clinical
decision making. An increase in %ΔADC ≥ 15% after two weeks of therapy
indicated a likely good response, with a PPV of 93.3%; this response suggests
that the patients could continue their initial treatment protocol. On the
contrary, if the ADC after two weeks of therapy showed no explicit change (%ΔADC ≤ 1%), then a poor response was highly
suspected; however, considering there was still a 15% false-positive rate, a
shortening of the follow-up time intervals is suggested to further confirm these
findings.
In our research, no significant difference was found between the GoodR and the PoorR groups regarding
pre-therapy ADC, which was different from the previous lesion-based imatinib
studies [3]. We postulate that the mixed patient cohort examined in
our study might partly explain this result. Additionally, the patients who accepted
Sutent treatment usually experienced progression in the regions that were previously
necrotic or cystic, which exhibited a heterogeneous signal background and led
to an increase in the pre-therapy ADC. However, the performance of the
percentage change in the ADC after two weeks of therapy was not affected and it
was much better than the baseline ADC. Therefore, it is worthwhile to administer
a short-term targeted agent as an experimental treatment to obtain more
accurate response prediction results.
Conclusion
The percentage changes in the ADC after two weeks of therapy outperformed the variables of T2WI-CNR and longest diameter in predicting the early response of GIST to targeted therapy.
Acknowledgements
This work was supported by National Natural Science Foundation of China (grant no. 81201215, 81371715), and Natural Science Foundation of Beijing (grant no. 7132039)References
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