Abstract
BACKGROUND AND PURPOSE
An effective treatment for acute lymphoblastic leukemia (ALL), intravenous (IV) methotrexate (MTX) has a notable toxic effect on the CNS, with leukoencephalopathy (LE) being the most common form. The purpose of this study was to use objective quantitative MR imaging to prospectively assess potential risk factors on the temporal evolution of LE in patients treated for ALL.
METHODS
We evaluated the longitudinal prevalence of LE in 45 children treated for ALL in a single institutional protocol including seven courses of IV MTX and no cranial irradiation. Differences in signal intensity on T2-weighted and fluid-attenuated inversion recovery (FLAIR) images between hyperintense regions and normal-appearing genu were used to quantitatively detect LE. Cox proportional regression was used to estimate the effect of covariates (e.g., sex, MTX dose, age at diagnosis) on the prevalence of LE. After influential factors were identified, a generalized linear model was determined to predict the probability of LE in new patients. The model was necessary to facilitate statistical testing between examinations.
RESULTS
Increasing exposure, which corresponding to more courses and higher doses of IV MTX, influenced the prevalence of LE. The prevalence of LE was significant reduced approximately 1.5 years after the completion of IV MTX.
CONCLUSION
Higher doses and more courses of IV MTX placed patients at a higher risk for LE; many of the changes resolved after the completion of therapy. The effect of these changes on neurocognitive functioning and quality of life in survivors remains to be determined.
With improved treatment outcomes in children with cancer, current emphasis is placed on the survivors’ quality of life, including their neurocognitive function. Acute lymphoblastic leukemia (ALL) is the most common childhood cancer, diagnosed in 3000 children annually in the United States. The 5-year event-free survival rate for pediatric patients with ALL is approximately 80% (1). Methotrexate (MTX) given intravenously (IV) at high doses has been shown to decrease hematologic, testicular, and CNS relapses. However, it has a significant toxic effect on the CNS and can potentially lead to severe neurologic morbidity. Leukoencephalopathy (LE), seen as white matter hyperintensities on T2-weighted MR imaging, is the most common manifestation, and it may be either persistent or transient (2). The frequency and severity of LE may depend on the dose, cumulative exposure, and other clinical variables.
Before 1990, CT examinations were used to investigate the occurrence of LE in patients with ALL who were treated with intrathecal MTX and cranial radiation therapy (CRT) (3-7). The investigators used quantitative measures of ventricular size and white matter attenuation, as well as qualitative assessment of intracranial calcifications, to determine the prevalence of LE in this patient population. The prevalence of LE ranged from 9% to 35% (median, 22%), depending on when the evaluations were performed. Although CT examinations are still used in some institutions, they are increasingly replaced with MR imaging (8-14). As in previous studies, the prevalence of LE varies according when the evaluations are performed, ranging from 0% to 9% during therapy and from 16% to 69% (median, 35%) after therapy (Table 1). The study by Chu et al (14) is not included in the reported ranges because of the small sample size of only three subjects. Traditionally, the LE prevalence increases substantially after therapy.
TABLE 1. Prevalence of LE in patients with ALL treated with intrathecal MTX and CRT prophylaxis.
Study | Modality | Prevalence of LE* | Point in Therapy |
---|---|---|---|
Chu et al, 200314 | MR imaging | 0/2 (0) | Baseline |
Chu et al, 200314 | MR imaging | 0/3 (0) | 8 wk after diagnosis |
Chu et al, 200314 | MR imaging | 1/3 (33) | 20 wk after diagnosis |
Paakko et al, 199610 | MR imaging | 0/12 (0) | End Consolidation |
Ochs et al, 19835 | CT | 5/55 (9) | Continuation |
Paakko et al, 200012 | MR imaging | 0/16 (0) | During |
McIntosh et al, 19773 | CT | 10/30 (33) | 0.5-6 y after induction |
Peylan-Ramu et al, 19784 | CT | 5/32 (16) | 3.5 y after diagnosis |
Chu et al, 200314 | MR imaging | 1/3 (33) | 1 year after therapy |
Chu et al, 200314 | MR imaging | 1/2 (50) | 2 y after therapy |
Paakko et al, 19928 | MR imaging | 3/16 (19) | 3 y after therapy |
Chu et al, 200314 | MR imaging | 2/2 (100) | 3 y after therapy |
Brouwers and Poplack 19906 | CT | 5/23 (22) | 4 y after therapy |
Ochs et al, 19917 | CT | 8/23 (35) | 6 y after therapy |
Hertzberg et al, 199711 | CT, MR imaging | 23/41 (56) | 6 y after therapy |
Kingma et al, 19939 | MR imaging | 24/35 (69) | 8 y after diagnosis |
Hertzberg et al, 199711 | CT, MR imaging | 23/38 (61) | 9 y after therapy |
Kingma et al, 200113 | MR imaging | 15/24 (63) | 10 y after diagnosis |
Data in parentheses are percentages.
Efforts to avoid the adverse neurologic and neurocognitive effects of CRT have prompted the reduction or elimination of CRT and the intensification of intrathecal chemotherapy and IV MTX in contemporary protocols (5, 7, 8, 10-18). Many of these patients were evaluated with MR imaging. Once again, the prevalence of LE varied according to the time when the evaluations were performed, with a prevalence of 0% at baseline and at the beginning of consolidation, 18-76% (median, 38%) during therapy, and 5-53% (median, 20%) after therapy (Table 2). Because of differences in diagnostic imaging as well as in systemic and intrathecal therapy, meaningful comparison of the prevalence of LE between patients treated with previous and those treated with contemporary protocols cannot be made.
TABLE 2. Incidence of LE in patients with ALL treated with intrathecal and IV MTX.
Study | Modality | Prevalence of LE* | Point in Therapy |
---|---|---|---|
Wilson et al, 199115 | MR imaging | 0/21 (0) | Baseline |
Chu et al, 200314 | MR imaging | 0/17 (0) | Baseline |
Asato et al, 199216 | MR imaging | 6/16 (38) | End Induction |
Chu et al, 200314 | MR imaging | 0/20 (0) | 8 wk after diagnosis |
Wilson et al, 199115 | MR imaging | 0/23 (0) | Beginning of consolidation |
Chu et al, 200314 | MR imaging | 4/19 (21) | 20 wk after diagnosis |
Wilson et al, 199115 | MR imaging | 15/25 (60) | Middle of consolidation |
Paakko et al, 199610 | MR imaging | 2/6 (33) | End of consolidation |
Wilson et al, 199115 | MR imaging | 15/25 (60) | Begin of maintenance |
Ochs et al, 19835 | CT | 10/53 (19) | Continuation |
Paakko et al, 200012 | MR imaging | 3/17 (18) | During therapy |
Wilson et al, 199115 | MR imaging | 12/23 (52) | 1 year after diagnosis |
Mahoney et al, 199818 | CT, MR imaging | 57/75 (76) | 1 year after diagnosis |
Chu et al, 200314 | MR imaging | 1/19 (5) | 1 year after therapy |
Chu et al, 200314 | MR imaging | 1/17 (6) | 2 y after therapy |
Paakko et al, 19928 | MR imaging | 1/11 (9) | 3 y after therapy |
Chu et al, 200314 | MR imaging | 2/16 (13) | 3 y after therapy |
Bakke et al, 199317 | MR imaging | 8/15 (53) | 5 y after therapy |
Ochs et al, 19917 | CT | 7/25 (28) | 6 y after therapy |
Hertzberg et al, 199711 | CT, MR imaging | 15/39 (39) | 7 y after therapy |
Kingma et al, 200113 | MR imaging | 6/16 (38) | 10 y after diagnosis |
Data in parentheses are percentages.
In this study, we examined the longitudinal prevalence of LE in children treated for ALL in a single institutional protocol, which included seven courses of IV MTX and multiple intrathecal therapy with MTX, hydrocortisone, and cytarabine but no cranial irradiation. Because of both the limited sample size and the consistency of intrathecal therapy and steroids across all subjects, they were not considered as influential covariates in this study. Sex, MTX dose, and age at diagnosis were assessed as possible risk factors affecting the prevalence of LE. LE was detected with an objective quantitative MR imaging approach. The prevalence of LE in this study was compared and contrasted with those of previous studies. The purpose of this study was to objectively assess the influence of risk factors on the temporal evolution of LE in patients treated for ALL without CRT.
Methods
Patient Population
Consecutive patients who were at least 1 year of age who were enrolled on our institutional ALL treatment protocol between July 30, 1998, and August 30, 1999, were eligible for this study. The diagnosis of ALL was established by means of morphologic, cytochemical, immunophenotyping, and genetic studies. Patients must have received no more than 1 week of previous therapy, which must have included only glucocorticoids. Because this study was designed to assess the longitudinal prevalence of LE in otherwise normal-appearing brain, patients with other neurologic complications, such as thrombosis, were not eligible. Written informed consent was obtained from the patient or his or her parent or guardian according to institutional review board, National Cancer Institute and Office for Human Research Protection guidelines. Fifty-three patients were enrolled on the treatment protocol. However, three patients were younger than 1 year, three died during induction, one withdrew from the protocol, and one had thrombosis at presentation. The exclusion criteria resulted in 45 patients eligible for this study: 21 male and 24 female patients aged 1.5-18.6 years (median, 5.4 years) at diagnosis (Table 3).
TABLE 3. Demographic and treatment data in the 45 participants.
Data | Low Risk | Standard or High Risk |
---|---|---|
No. of subjects | ||
After 1 course of IV MTX | 21 | 23 |
After 4 courses of IV MTX | 20 | 21 |
After 7 courses of IV MTX | 21 | 21 |
End of Therapy | 20 | 17 |
Sex | ||
Male | 10 | 11 |
Female | 12 | 12 |
Age at diagnosis (y)* | 5.0 ± 2.7 | 9.2 ± 4.8 |
Data are the mean ± standard deviation.
Treatment and Procedure Timeline
Patients were assigned to low-, standard-, and high-risk groups on the basis of comprehensive risk classification, which included blast cell immunophenotype and genotype, presenting clinical features, and early treatment responses. All patients received seven courses of IV MTX, with doses adjusted to achieve targeted systemic exposure to eliminate individual differences due to variability in clearance (19). The plasma steady-state concentration was 33 μmol/L in low-risk patients and 65 μmol/L in standard- or high-risk patients; average doses of MTX required to achieve these targeted concentrations were 2.5 and 5.0 g/m2, respectively. Patients underwent MR examinations at four points during therapy: after one course (week 6, induction), after four courses (week 7, continuation), after seven courses (week 31, continuation), and at week 120 of continuation. Week 120 of continuation therapy was the end of therapy for the female patients, but the male patients received an additional 26 weeks of continuation therapy. The timing of this last imaging examination was chosen to ensure that all patients were evaluated at approximately the same point in therapy.
MR Imaging
LE is best visualized with a T2-weighted sequence, preferably with CSF attenuation (Fig 1). The imaging protocol was designed to simultaneously yield raw images for the segmentation procedures and images necessary for the clinical evaluation of the patients. All MR examinations were performed without contrast agent by using a 1.5-T Vision whole-body unit (Siemens Medical Systems, Iselin, NJ) with a standard circular polarized volume head coil. To minimize variability, a localizer sequence was used to determine the position of the patient in the coil. All images were acquired as 3-mm-thick contiguous oblique transverse-imaging sets defined by the most inferior extent of the genu and the splenium of the corpus callosum on the midline sagittal image. T1-weighted images were acquired with a multiecho inversion-recovery imaging sequence (TR/TE/TI/NEX = 8000/20/300/1, seven echoes). Proton density-and T2-weighted images were acquired simultaneously with a dual spin-echo sequence (TR/TE1/TE2/NEX = 3500/17/102/1). Fluid-attenuated inversion recovery (FLAIR) images were acquired with a multiecho sequence (TR/TE/TI/NEX = 9000/ 119/2470/1, seven echoes).
Quantitative MR Detection of LE
Registration methods developed by Ostuni and colleagues (20) were used to register all MR imaging sets within an individual examination. A correction for radiofrequency inhomogeneities in the imaging sets was performed with a modified renormalization transformation combined with a local contrast ratio measure for in-section correction and with polynomial modeling for correction across the sections. A combined imaging set consisting of FLAIR and T1-, T2-, and proton density-weighted MR images, as well as white matter, gray matter, and CSF a priori maps from a spatially normalized atlas were analyzed with a neural network segmentation based on a Kohonen self-organizing map (21, 22). The self-organizing map essentially performed a pattern recognition task based on variations in the signal intensity properties of each point on the image. After the procedure was completed, the image was segmented into multiple tissue classes, with each one represented by a particular prototypical vector or pattern of intensity variation.
To improve the differentiation between true abnormal regions and CSF contaminated regions with high FLAIR signal intensity, an in-plane gradient magnitude threshold was added to the segmentation algorithm (23). Although CSF on the FLAIR images should be attenuated by the inversion pulse and appear dark, imperfect inversion and CSF pulsation can cause CSF at the extreme edges of the ventricles to sometimes remain bright, complicating the differentiation of true abnormal regions. After the segmentation was completed, the segmented maps were manually classified to identify the prototypical vectors associated with normal-appearing genu and diffuse white matter hyperintensities. The prototypical vector associated with the segmented region corresponding to areas of highest signal intensity on T2-weighted and FLAIR images were compared with normal-appearing genu vectors from the same patient. This enabled each patient to act as his or her own control and adjusted for known maturational changes in the relaxation properties of white matter at young ages and for acquisition variance caused by coil loading and tuning. This quantitative method was shown to be highly reproducible and to agree with radiologists’ reading of LE in 81% of cases (24).
Statistical Analysis
A Cox proportional regression was performed to estimate the effect of predictors on the development of LE. The first MR examination demonstrating development of LE was considered an event, and the number of weeks since diagnosis (corresponding to time in the treatment protocol) was the measure of time to event. Normal studies were censored, and the cumulative indices were then estimated. After the influential covariates (predictors) were identified, a generalized linear model with generalized estimating equations was applied to produce a logistic regression model that could predict the probability of LE in any patient treated in a similar protocol at any of the four time points in therapy. Changes in the modeled probability of LE between points in therapy were then tested for significance (alpha/0.05).
Results
The first analysis was conducted to estimate the effect of risk arm, sex, and age at diagnosis on the development of LE. The analysis indicated that risk arm (P = .095) and age at diagnosis (P = .163) were the most likely influential covariates (predictors) to be included in the next model, but the correlation between the risk arm and age at diagnosis was highly significant (P = .012). Sex (P = .571) was not an influential covariate in this analysis and therefore not included in further analyses. Figure 2 shows the cumulative indices as a function of time since diagnosis for risk arm.
The generalized linear model was developed for two covariates—risk arm and examination time—and their interaction. Figure 3 shows the observed prevalence of LE in this cohort of patients, and Figure 4 shows the results of the model. The modeled probability (p) of developing LE at different points in therapy was generated by using the estimated coefficients shown in Table 4 and Equation 1:
TABLE 4. Estimated coefficients for the general linear model to predict probability of LE during therapy.
Coefficient | Estimate | Standard Error | P Value |
---|---|---|---|
α (intercept) | -1.77 | 0.625 | .004 |
β1 dose (g/m2) | |||
5.0 | 0.219 | 0.832 | .792 |
2.5 | 0.000 | ||
β2 exam | |||
First | 0.000 | ||
Second | 2.181 | 0.632 | <.001 |
Third | 2.473 | 0.662 | <.001 |
Fourth | 1.423 | 0.548 | .009 |
β3 exam dose* (g/m2) | |||
First and 5.0 | 0.000 | ||
First and 2.5 | 0.000 | ||
Second and 5.0 | -0.269 | 0.850 | .752 |
Second and 2.5 | 0.000 | ||
Third and 5.0 | 0.950 | 1.020 | .351 |
Third and 2.5 | 0.000 | ||
Fourth and 5.0 | 0.338 | 0.793 | .670 |
Fourth and 2.5 | 0.000 |
Substitution of the estimated coefficients from Table 4 into the equation for any given patient on a particular risk arm gave the estimated probability of the child having LE at any of the four time points in therapy. The standard error of the estimates enabled us to test for significance between risk-arms and between different points in therapy. Between the beginning of IV MTX at time point 1 and the second time point after four courses, the prevalence of LE in both groups was already significantly increased. The prevalence of LE in the standard- and high-risk group continued to be significantly increased at the third time point, whereas the prevalence of LE in the low-risk group did not significantly change. Between the completion of IV MTX at time point 3 and the fourth time point, the prevalence of LE was significantly reduced in both groups. Overall, higher doses and more courses of IV MTX increased the risk of LE (Fig 4); many of the changes resolved after the completion of therapy.
Discussion
We used an objective quantitative MR imaging approach to examine the longitudinal prevalence of LE in 45 children treated for ALL in a single institutional protocol with CNS prophylaxis, including seven courses of IV MTX. Increasing exposure, which corresponded to more courses and higher doses of IV MTX, was associated with an increased prevalence of LE. In patients in the standard- and high-risk groups, who receiving twice the dose of IV MTX, the risk of LE was higher than that in those in the low-risk group. However, even the low-risk group had a 67% probability of developing LE after seven courses. In all patient groups, regardless of risk, the prevalence of LE significantly increased after four courses of IV MTX, and the prevalence in the standard- and high-risk groups increased further with an additional three courses of IV MTX. However, the prevalence of LE was reduced by almost half between the completion of IV MTX and the last time point for both patient groups. This finding suggested that LE is mostly transient and that its prevalence may continue to decrease with longer follow-up after completion of therapy. Figure 5 illustrates the transient and persistent LE seen in these patients. Although the magnitude of our results may have been specific to this treatment protocol, the transient longitudinal pattern and the effect of covariates (predictors) should apply in other studies of IV MTX to treat children with ALL.
Our prevalence of LE can be compared and contrasted with those of previous studies of patients ALL treated with intrathecal and IT-MTX prophylaxis, with the constraint that the systemic therapeutic regimens are not identical. Both Wilson et al (15) and Chu et al (14) reported no prevalence of LE at the beginning of consolidation therapy at 8 weeks after diagnosis, whereas we observed 16% prevalence. The regions of LE were subtle and diffuse, and the increased sensitivity in detection of these regions was most likely due to the objective quantitative approach. The second time point, at the beginning of continuation therapy, had an overall prevalence of 59%, which was almost identical to the 60% Wilson et al reported (15). However, Asato et al (16), Paakko et al (10) and Chu et al (14) more recently reported prevalences of 21-38%. Our prevalence of LE after all seven courses of IV MTX at week 37 of continuation was 76% overall and identical to the prevalence Mahoney et al (18) described at 1 year after diagnosis; this rate was comparable to the prevalence of 52% Wilson et al (15) reported, also at 1 year after diagnosis. No comparable studies were identified for comparison with the fourth time point. Although our results at any time point are comparable to those of previous studies, we believe we are the first to use objective quantitative MR measures to assess the longitudinal prevalence of LE.
As with any study, ours had limitations regarding the results and conclusions. One complicating factor was the difficulty in distinguishing LE from unmyelinated or partially myelinated white matter in young children. However, the likelihood that the objective quantitative MR imaging approach led to systematic misclassification of normal developmental changes as LE in young children was not likely because of the validation procedures that were conducted in comparison to radiologists’ readings. Another limitation was the limited time period covered with the MR examinations. Only a few patients were imaged after the completion of therapy, and we therefore could not determine if the remaining LE continued to resolve. Last, whether the LE changes affect the neurocognitive function and quality of life in survivors is unknown.
Conclusion
The current study showed an prevalence of LE that was comparable to that of previous studies, given the constraint that therapeutic regimens were not identical. Increasing exposure, which corresponded to more courses and higher doses of IV MTX, was a risk factor for LE. Some of the LE changes were transient, as evidenced by a significant reduction in the prevalence of LE approximately 1.5 years after the completion of IV MTX therapy. Although the magnitude of these results may be specific to our treatment protocol, the transient longitudinal pattern and the effect of covariates are likely applicable to other studies.
Acknowledgments
The authors thank Rekha Karuppiah for her efforts in processing and analyzing the MR studies and Vickey Simmons for scheduling the procedures.
Supported in part by R01-CA90246 and by Cancer Center Support grant P30-CA21765 from the National Cancer Institute, by the American Cancer Society F. M. Kirby Clinical Research Professorship and by the American Lebanese Syrian Associated Charities.
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