Abstract
Purpose
Proton radiation therapy (PRT) offers the potential of effective treatment with minimal irradiation to normal tissue, mitigating late effects in children requiring radiotherapy for brain tumors. This longitudinal study reports cognitive outcome in pediatric patients treated with PRT for central nervous system (CNS) tumors.
Methods and Materials
Sixty patients receiving PRT for medulloblastoma (38.3%), gliomas (18.3%), craniopharyngioma (15.0%), ependymoma (11.7%), and other CNS tumors (16.7%) were administered age-appropriate measures of cognitive abilities at or near PRT initiation (baseline) and afterwards (follow-up). Patients were ≥ 6 years at baseline to ensure consistency in neurocognitive measures.
Results
Mean age was 12.3 years at baseline; mean follow-up interval was 2.5 years. Treatment included prior surgical resection (76.7%) and chemotherapy (61.7%). PRT included craniospinal irradiation (46.7%) and partial brain radiation (53.3%). At baseline, mean Wechsler Full Scale IQ (FSIQ) was 104.6; means of all four Index scores were also in the average range. At follow-up, no significant change was observed in mean FSIQ, Verbal Comprehension, Perceptual Reasoning/Organization, or Working Memory. However, Processing Speed scores declined significantly (mean 5.2 points), with a significantly greater decline for subjects < 12 years at baseline and those with the highest baseline scores. Cognitive outcome was not significantly related to gender, extent of radiation, radiation dose, tumor location, histology, SES, chemotherapy or history of surgical resection.
Conclusions
Early cognitive outcomes following PRT for pediatric CNS tumors are encouraging, compared to published outcomes from photon RT.
Keywords: Pediatric brain tumors, Proton beam radiation, IQ, Processing speed
Introduction
Radiation therapy (RT), while part of the standard of care for many pediatric CNS tumors, is associated with negative cognitive sequelae, including decrements in overall intelligence quotient (IQ) and in specific cognitive and academic domains.1,2 Of particular note are declines in certain components of the overall IQ, including processing speed.3,4 The severity of such impairments has been associated with the dose and the volume of brain irradiated.5,6 Age at treatment is also an important factor, with younger patients being most affected and older patients sometimes showing little or no long-term impairment.4,7–10 The special vulnerability of younger patients could be due to the effects of radiation on cerebral white matter, which is rapidly developing in young children; such effects could well mediate most of the age dependence.10–12 Photon radiotherapy techniques have been improved with CT and MRI based planning and intensity modulation.5,6,13 However, long-term effects of radiation therapy remain a significant concern that could have a major influence on treatment decisions.14
Proton radiation therapy (PRT) is the most conformal form of radiotherapy available, sparing adjacent healthy tissues by reducing entrance dose and eliminating exit dose.15,16 Early reports of PRT in pediatric CNS tumors have found acceptable disease control and reduced endocrine and auditory toxicity;17–20 some promising reports of cognitive outcome have recently appeared,18–20 but as yet there have been no detailed reports of cognitive outcome following PRT in a large group, leaving an important gap in the literature.14,21
Here, we report cognitive outcomes in a large cohort of pediatric patients with brain tumors (and one metastatic myxopapillary ependymoma) who had both baseline and follow-up evaluations at our institution after PRT. In order to obtain a sensitive indicator of cognitive outcome, the study examined changes both in overall intellectual functioning (Full Scale IQ, or FSIQ) and in its four components: Verbal Comprehension, Perceptual Reasoning/Organization, Working Memory, and Processing Speed. Because measures of all four cognitive domains are not widely available before age six years, study subjects were limited to age six and older. Outcomes are compared to published results for patients treated with photon radiation therapy.
Material and Methods
Patients and Procedures
Between September 2002 and March 2013, 106 pediatric patients were treated with PRT at XXXX for a primary brain or other CNS tumor and completed baseline and follow-up neurocognitive testing at XXXX as part of their routine clinical care. Patients came for treatment from locations throughout the United States. Those with prior radiation or combined proton and photon treatments were excluded. Of the 106 patients, 37 were excluded due to young age (< 6 years); two due to disease recurrence at follow up, and seven due to incomplete baseline evaluation, because of scheduling difficulties (2), fatigue (3), or severe posterior fossa syndrome (2). The remaining 60 patients comprise the cohort in the study. Institutional Review Board approval was obtained for this longitudinal study of pediatric patients.
Patients were treated with proton radiation, surgery, and chemotherapy appropriate for the diagnosis and according to the current standard of care. Proton radiation dose is reported in Gy (RBE), using a relative biologic effectiveness of 1.1.22,23 All radiation was delivered with standard fraction sizes of 1.8 Gy (RBE) per fraction (or 1.5 Gy/fx for germinomas) in accordance with the national standard set by Children’s Oncology Group protocols for target coverage.
All medulloblastoma patients received whole brain radiation, defined as craniospinal irradiation (CSI) followed by a boost to the tumor site in the posterior fossa, for a total dose of 54 Gy (RBE). Patients with craniopharyngioma, low-grade glioma, and ependymoma received radiation to the tumor site alone (partial brain radiation). Patients with germ cell tumors (N = 9) were treated with either CSI (N = 4) or partial brain radiation including a whole ventricle volume (N = 5) followed by a boost to the tumor site. Radiation treatment for all patients followed the standard protocol for our center, which includes CT and MRI-based planning utilizing proton XiO software to generate passively scattered three-dimensional (3D) conformal proton treatment plans.23
Cognitive Assessment
Cognitive assessment was conducted at initiation of or during the course of proton radiation therapy (baseline) and at one or more scheduled outpatient visits at least one year after completion of radiation treatment (follow-up). When there were multiple follow-up evaluations, the latest results were used for analysis. Testing was done using either the Wechsler Intelligence Scale for Children-4th Edition (WISC-IV)24 (ages 6–15 years) or the Wechsler Adult Intelligence Scale-3rd Edition (WAIS-III)25 (ages ≥ 16 years). Both instruments yield Index scores in four cognitive domains: Verbal Comprehension (factual information, verbal knowledge, conceptualization); Perceptual Reasoning/Organization (visual-perceptual and nonverbal skills); Working Memory (including attention and concentration); and Processing Speed (mental and graphomotor processing speed). The four Index scores combine to form the FSIQ, a measure of overall cognitive functioning. The FSIQ and Index scores are age-based standard scores (SS) with a mean of 100 and a standard deviation of 15; lower scores indicate lower functioning or greater problems.
Statistics
Chi-square analysis and one-way analysis of variance (ANOVA) were used to evaluate differences between demographic and clinical variables at baseline. Paired t-tests were conducted to identify whether scores changed significantly between baseline and follow-up assessments. Repeated measures ANOVA was used to determine if cognitive outcome was affected by gender, age at baseline (< 12 years vs. ≥ 12 years), median household income in community of residence26 (a proxy indicator of socioeconomic status, or SES), hydrocephalus at diagnosis, histology, tumor location, extent of radiation (whole or partial brain radiation), CSI low dose (≤ 23.4 Gy) vs. high dose, treatment with chemotherapy, history of surgical resection, and presence of sensory or motor problems at follow-up. Pearson correlation was used to investigate the relationship between cognitive outcome and the time interval between baseline and follow-up. Statistical analyses were performed using SPSS version 22.0. All reported p values used two-tailed significance with α (alpha) set at 0.05.
Results
Demographic and clinical characteristics are summarized in Table 1. Chemotherapy as part of treatment (always completed before follow-up testing) included vincristine, cyclophosphamide, cisplatin, carboplatin, etoposide, and lomustine.
Table 1.
Demographic and clinical characteristics of the total sample (N = 60).
| Mean (± SD) or N (%) | |
|---|---|
| Mean Age at Baseline Testing (yr) | 12.3 (±3.9), range 6.3–21.7 |
| Mean Age at Follow-up (yr) | 14.8 (±4.2) |
| Mean Follow-Up Interval (yr) | 2.5 (±1.9), range 1.0–8.3 |
| Multiple follow-up assessments (interval ≥ 2 yr)* | 9 (15.0) |
| Two follow-up assessments | 5 (8.0) |
| Three follow-up assessments | 4 (7.0) |
| Male/Female | 34 (56.7)/26 (43.3) |
| Race | |
| Caucasian | 53 (88.4) |
| African-American | 2 (3.3) |
| Other | 5 (8.3) |
| Median household income in community of residence25 | $74,990, range $40,702–$213,423 |
| Histology | |
| Medulloblastoma | 23 (38.3) |
| Glial (astrocytoma; glioma) | 11 (18.3) |
| Craniopharyngioma | 9 (15.0) |
| Ependymoma | 7 (11.7) |
| Other | 10 (16.7) |
| Primary Tumor Location | |
| Infratentorial | 28 (46.7) |
| Supratentorial | 31 (51.7) |
| Spine** | 1 (1.6) |
| Hydrocephalus at diagnosis | 24 (40.0) |
| Radiation Field | |
| Craniospinal irradiation | 28 (46.7) |
| Low Dose (≤23.4 Gy) | 14 (50) |
| High Dose (>23.4 Gy) | 14 (50) |
| Partial brain | 32 (53.3) |
| Surgery (prior to PRT)*** | 58 (96.7) |
| Biopsy | 12 (20.0) |
| Near/subtotal resection | 20 (33.3) |
| Gross total resection | 26 (43.4) |
| Number of prior resections | |
| 1 resection | 33 |
| 2 resections | 10 |
| 3 resections | 3 |
| Chemotherapy treatment | 37 (61.7) |
| Posterior fossa syndrome at baseline (non-incapacitating) | 3 (5.0) |
| Motor or Sensory Problem at Baseline/Follow-up | 10 (16.6)/26 (43.3) |
| Hearing | 1 (1.6)/10 (16.7) |
| Motor | 5 (8.3)/9 (15.0) |
| Vision | 4 (6.7)/6 (10.0) |
| Multiple | 0 (0)/1 (1.6) |
Minimum of two years between follow-up evaluations.
CSI required as part of treatment
No surgical biopsies or resections were performed during or after proton radiation
For the 28 subjects treated with CSI, the median CSI dose was 23.4 Gy (RBE) (range, 18.0 – 36.0 Gy (RBE)) and the median total dose was 54.0 Gy (RBE) (range, 30.6–54.0 Gy (RBE)); total dose was 54.0 Gy (RBE) for 23 of the 28 CSI patients. Younger patients generally received a lower CSI dose: the mean age of the low dose group was 9.9 years, compared to 14.4 years for the high dose group, a significant difference (p = .004). For the 32 subjects treated with partial brain PRT, the median dose was 52.2 Gy (RBE) (range, 35.7–57.6 Gy (RBE)).
No significant relationship was found between age at baseline and any of the following: gender, hydrocephalus at diagnosis, histology, history of surgical resection, treatment with whole or partial brain PRT, tumor location (supratentorial vs. infratentorial) or treatment with chemotherapy. Patients with hydrocephalus at diagnosis were more likely to have an infratentorial tumor (p = .019) and to receive whole brain PRT (p = .017), in part due to the high incidence of hydrocephalus in medulloblastoma patients (61%, 14/23), all of whom were treated with whole brain PRT.
Results from baseline and follow-up assessments are listed in Table 2 and illustrated in Figure 1. At baseline, all cognitive scores were in the average range (although the mean Processing Speed score was below the population mean). No significant relationship was found between baseline scores and histology, hydrocephalus at diagnosis, history of surgical resection, treatment with chemotherapy, gender, or median household income in the community of residence. At follow-up, FSIQ scores improved for 33 subjects (55%) and declined for 24 subjects (40%). Overall, no significant change was found from baseline to follow-up in FSIQ or in three of the four Index scores, but the mean Processing Speed score declined significantly (p = .002), by an average of 5.23 points. Notwithstanding the decline in standard score, raw scores actually increased for the two subtests that comprise the Processing Speed Index (Table 2), indicating that the decline was due not to a loss of skills but rather to a reduced rate of skill acquisition relative to same-age peers.
Table 2.
Cognitive scores at baseline and follow-up (N = 60)
| Cognitive Domain | Baseline (Mean ± SD) |
Follow-Up (Mean ± SD) |
Change (Mean ± SD) (95% CI) |
p value† |
|---|---|---|---|---|
| Wechsler FSIQ | 104.6 (13.3) | 104.1 (12.1) | −0.43 (7.9) (−2.47 – 1.60) |
0.67 |
| Verbal Comprehension | 107.6 (12.7) | 108.5 (12.6) | 0.93 (6.9) (−0.85 – 2.71) |
0.30 |
| Perceptual Reasoning/Organization | 104.5 (12.5) | 106.0 (13.1) | 1.52 (9.9) (−1.04 – 4.07) |
0.24 |
| Working Memory | 102.0 (12.4) | 103.9 (12.8) | 1.87 (11.0) (−0.98 – 4.70) |
0.19 |
| Processing Speed | 95.1 (15.8) | 89.9 (11.4) | −5.23 (12.3) (−8.41 – −2.05) |
0.002 |
| Coding raw score | 45.0 (17.1) | 48.9 (15.2) | 3.87 (16.2) (−0.33 – 8.05) |
0.07 |
| Coding scaled score* | 8.8 (3.4) | 7.9 (2.9) | −0.83 (2.8) (−1.55 – 0.10) |
0.03 |
| Symbol Search raw score | 25.2 (7.3) | 27.4 (9.7) | 2.17 (10.4) (−0.52 – 4.85) |
0.11 |
| Symbol Search scaled score* | 9.4 (2.6) | 8.6 (2.3) | −0.82 (2.4) (−1.44 – 0.19) |
0.01 |
IQ, Intelligence Quotient; SD, standard deviation; CI, Confidence Interval of the Difference
For scaled scores, mean = 10, standard deviation = 3
Statistical significance of change in mean scores at follow-up from paired t-test analysis.
Figure 1.
Wechsler Full Scale IQ and Index mean standard scores and standard error of the mean at baseline and follow-up.
The greatest declines in Processing Speed were seen in those with the highest baseline score, a pattern noted elsewhere with FSIQ scores.27,28 The high-baseline group (Processing Speed Index ≥100, N = 25) declined at follow-up by a mean of 14.9 points, whereas the low-baseline group (N = 35) improved by 1.7 points. The number of patients one standard deviation below the population norm (Processing Speed Index < 85) was 20 (33%) at baseline and 21 (35%) at follow-up.
The importance of patient age was investigated by dividing the subjects into two roughly equal groups based on mean age at baseline (12 years). Cognitive results differed by age group in certain areas, both at baseline and at follow-up (Table 3). At baseline, the younger patient group scored significantly higher in FSIQ (p = .018), Perceptual Reasoning (p = .031) and Processing Speed (p = .006). At follow-up, significant changes were seen within age groups in Processing Speed, where the younger group declined by 8.8 points (p = .001), and in Perceptual Reasoning, where the older group improved by 4.5 points (p = .009). Comparing age groups, significant differences were seen for change in Processing Speed (p = .015) and in Perceptual Reasoning (p = .032); for FSIQ, no significant change was seen within age groups, and the difference between groups fell just short of statistical significance (p = .052).
Table 3.
Cognitive scores at baseline and follow-up by age group (N = 60)
| Cognitive Domain | Baseline SS (Mean ± SD) |
Baseline difference p value* |
Follow-Up SS (Mean ± SD) |
Within group difference p value** |
Between group difference p value** |
|---|---|---|---|---|---|
| FSIQ | .018 | 0.052 | |||
| <12 years (N=32) | 108.3 (14.8) | 106.0 (13.3) | .176 | ||
| ≥12 years (N=28) | 100.3 (9.9) | 101.9 (10.5) | .106 | ||
| Verbal Comprehension | .056 | 0.549 | |||
| <12 years | 108.6 (13.4) | 110.0 (13.8) | .314 | ||
| ≥12 years | 106.5 (11.9) | 106.8 (11.0) | .735 | ||
| Perceptual Reasoning/Organization | .031 | 0.032 | |||
| <12 years | 107.8 (13.6) | 106.7 (13.8) | .585 | ||
| ≥12 years | 100.8 (10.0) | 105.3 (12.4) | .009 | ||
| Working Memory | .208 | 0.412 | |||
| <12 years | 103.9 (14.1) | 106.8 (13.5) | .199 | ||
| ≥12 years | 99.8 (9.9) | 100.4 (11.3) | .710 | ||
| Processing Speed | .006 | 0.015 | |||
| <12 years | 100.2 (16.5) | 91.4 (11.1) | .001 | ||
| ≥12 years | 89.3 (12.9) | 88.1 (11.6) | .541 |
IQ, Intelligence Quotient; SS, standard score; SD, standard deviation.
Statistical significance of difference in baseline cognitive scores by age group (one-way ANOVA).
Statistical significance from repeated-measures ANOVA of the change in test scores within age groups (within-group difference) and between adjacent groups (between-group difference).
The time interval between baseline and follow-up was not significantly correlated with the change in Standard Score in any cognitive domain (FSIQ: p = .072; Verbal Comprehension, p = .434; Perceptual Reasoning/Organization: p = .052; Working Memory: p = .673; Processing Speed: p = .311).
Table 4 shows baseline and follow-up results for both FSIQ and Processing Speed with respect to several factors that have been associated with cognitive outcome following radiation therapy. Cognitive scores did not significantly differ at baseline for any of those factors. At follow-up, no within- or between-group differences were found for change in FSIQ, but there was a significant decline in Processing Speed for certain groups: patients treated with whole brain PRT (p = .003); those with infratentorial tumors (p = .003) (though note that 23 of the 27 infratentorial patients received whole brain PRT); and those in the CSI low dose group (p = .008) (who were on average 4.5 years younger than the CSI high dose group). The groups were not significantly different, however, in terms of change in Processing Speed scores.
Table 4.
IQ and Processing Speed scores at baseline and follow-up for selected variables
| Cognitive Domain | Baseline SS (Mean ± SD) |
Baseline difference p value* |
Follow-Up SS (Mean ± SD) |
Within group difference p value** |
Between group difference p value** |
|---|---|---|---|---|---|
| FSIQ | |||||
| Extent of radiation | .625 | 0.901 | |||
| Whole-brain, CSI (N=28) | 103.6 (±12.9) | 103.1 (±11.5) | .722 | ||
| Partial-brain (N=32) | 105.3 (±13.8) | 105.0 (±12.8) | .817 | ||
| Radiation dose | .797 | 0.965 | |||
| CSI low dose (N=14) | 104.3 (±12.3) | 103.8 (±12.0) | .844 | ||
| CSI high dose (N=14) | 103.0 (±13.9) | 102.4 (±11.3) | .761 | ||
| Tumor location | .873 | 0.628 | |||
| Supratentorial (N=31) | 104.4 (±14.5) | 103.6 (±14.0) | .566 | ||
| Infratentorial (N=28) | 103.9 (±11.7) | 104.1 (±9.7) | .906 | ||
| Processing Speed | |||||
| Extent of radiation | .824 | 0.255 | |||
| Whole-brain, CSI (N=28) | 95.6 (±17.3) | 88.4 (±11.7) | .003 | ||
| Partial-brain (N=32) | 94.1 (±14.5) | 91.1 (±11.1) | .129 | ||
| Radiation dose | .121 | 0.242 | |||
| CSI low dose (N=14) | 100.7 (±15.0) | 90.9 (±11.5) | .008 | ||
| CSI high dose (N=14) | 90.5 (±18.5) | 85.9 (±11.8) | .153 | ||
| Tumor location | .810 | 0.135 | |||
| Supratentorial (N=31) | 94.3 (±14.1) | 91.4 (±11.0) | .196 | ||
| Infratentorial (N=28) | 95.3 (±17.4) | 87.5 (±11.2) | .003 |
IQ, Intelligence Quotient; SS, standard score; SD, standard deviation.
Statistical significance of the difference in baseline cognitive scores by group (one-way ANOVA).
Statistical significance from repeated-measures ANOVA of the change in test scores within groups (within-group difference) and between adjacent groups (between-group difference).
No significant relationship was found between change in any of the cognitive scores and the following other variables: histology, hydrocephalus at diagnosis, history of surgical resection, treatment with chemotherapy, the presence of motor or sensory deficits at follow-up, gender, or SES (median household income of community of residence).
Discussion
The present report is the first detailed investigation of cognitive outcome in a large group of pediatric brain and CNS tumor patients treated with PRT. These results follow recent reports of cognitive outcome in much smaller samples following PRT for ependymoma (FSIQ, N = 14)18 and low-grade glioma (FSIQ, N=12)19 that found generally preserved functioning, but with some indications of decline for children age <7 years.
Overall, at a mean follow-up of 2.5 years after PRT, no significant change was seen in FSIQ or in the domains of Verbal Comprehension, Perceptual Reasoning/Organization, or Working Memory. However, there was a significant decline, of 5.2 points, in the mean Processing Speed Standard Score. The bulk of that decline was seen in younger patients (age at baseline < 12 years)—the mean score for the younger patient group declined by 8.8 points, whereas that for the older patients declined only slightly. A similar, statistically significant, relationship with age was seen in Perceptual Reasoning/Organization, but in that domain the actual change in scores was quite small. For FSIQ, the difference between age groups approached statistical significance, but there was very little change in scores.
Cognitive outcomes in this cohort did not differ significantly between patients treated with whole brain PRT (CSI) or partial brain PRT. For the 28 patients who received CSI, FSIQ declined non-significantly by a mean of 0.5 points, and in the 23 patients with medulloblastoma (all treated with CSI), the mean change was a decline of 0.1 point. For patients treated with partial brain PRT, FSIQ declined non-significantly by a mean of 0.3 points. Similar (null) results were found in all four cognitive domains, including Processing Speed (Table 4). CSI radiation dose was not significantly related to cognitive outcome in any domain; in fact, Processing Speed scores paradoxically fell by more than twice as much (9.8 points) for the low-dose group as for the high-dose group (though the difference between groups was not statistically significant). A likely explanation is the significantly younger age of the low-dose group (mean of 9.9 years, compared to 14.4 years for the high-dose group), since younger patients generally experienced greater declines in Processing Speed.
The present results for proton radiation compare favorably to earlier reports of the effects of photon RT. Those reports generally show a progressive cognitive decline that is evident at 1–2 years post-treatment and is more severe for younger age, larger volume of radiation, and higher dose.1,2 Medulloblastoma studies have estimated annual declines in FSIQ following treatment with photon CSI of between 1.6 and 4.3 points per year, with the better results for older children (age at diagnosis > 7–8 years).7,8,28,29 One study derived a quadratic model predicting an overall annual decline in FSIQ of about 2 points per year, manifesting in older children after an age-dependent delay (about 2 years for those with mean age 11 years at diagnosis).27 Other studies have found relative preservation of IQ, particularly for older patients, following photon partial brain RT for low-grade glioma9 and ependymoma.30 Some photon RT studies have reported declines in Working Memory,1,4 but such declines were not seen here. Reported impairments in Verbal and Performance IQ2 cannot be directly compared to the present study because those scores (from the WISC-III) are no longer available in the later edition (the WISC-IV24) used here; however, because the WISC-III Performance IQ includes measures of processing speed, the present results are consistent with reduction in Performance IQ following PRT.
An attractive explanation for the observed stability in cognitive measures is the clear dosimetric advantage of proton radiation.31 Merchant et al.32 have used modeling of dose distributions and cognitive data from a cohort of photon RT patients to predict a slower rate of IQ decline in patients treated with PRT, due to a reduced dose of low (0–20 Gy) and intermediate (20–40 Gy) radiation to the total brain and temporal lobes. For whole brain RT, the relative benefits of proton radiation are driven by reductions in the dose delivered to areas outside of the target volume for the boost to the posterior fossa or tumor bed. Reductions in boost volume have therefore been a focus of recent studies, particularly as cognitive effects are most related to the volume receiving the highest dose.6,32
The decline in Processing Speed observed in the present study is a well-known risk of RT,3,4,12,21 though it has been obscured in some studies because of the use of abbreviated measures. In agreement with previous reports,7 the decline observed here reflects not a loss of skills but a slowing in skill acquisition relative to peers. Interestingly, those most affected were individuals with high baseline scores; despite the decline in mean score, the number of those one standard deviation below the population norm (SS < 85) increased only from 20 to 21. The Processing Speed decrement has been related to impairment in growth of normal appearing white matter (NAWM);10–12 the poorer outcome of younger patients in the present study is consistent with observations showing the greatest development of NAWM before age 12 years.11
The Processing Speed subtests measure the ability to complete Coding and Symbol Search tasks within a certain amount of time, and provide an indication of the rapidity with which an individual can mentally process simple or routine information accurately. While only one component of overall intelligence, Processing Speed is important in learning and academic success; impairment increases the need for educational support, including extra time on examinations and other assignments.24,33 The present observation of reduced Processing Speed standard scores without significant reduction in FSIQ suggests that abbreviated testing methods which calculate only an estimated FSIQ do not adequately assess patient needs and should be avoided, especially for clinical decision-making.34
Overall, patients in the present study exhibited a high baseline level of cognitive functioning—the mean baseline IQ was above the mean normative level, notwithstanding the stress of CNS disease and treatments prior to PRT that may include resection and chemotherapy. It is possible that those scores are related to the overall high apparent SES of patients, whose median estimated household income ($74,990) is higher than that of the U.S ($53,046).26 Nevertheless, patients represent a diverse mix in SES, and no relationship was found between household income and any cognitive measure at baseline or follow-up.
Some limitations of the present study should be noted. The interval between baseline and follow-up is relatively short, important because the trajectory of cognitive change following RT is not well established, and neurocognitive effects can manifest over an extended period of time.27,29,30 The exclusion of patients under age six years is both a strength and limitation: doing so enabled longitudinally consistent study of the domains involved in cognitive change—information that gives insight into the physiological effects of radiation and can guide long-term treatment. However, the present sample probably exhibits better overall cognitive outcome than one including younger patients, since young age is widely associated with the greatest cognitive effects of radiotherapy. A future report will present PRT outcomes for those younger patients. Finally, the study includes only patients who could complete the full cognitive assessment, and so excluded some (five of a possible 65) patients due to impairments at baseline, such as severe posterior fossa syndrome.
In summary, at a mean 2.5-year follow-up for 60 pediatric patients treated with proton radiation therapy for CNS tumors at mean age 12.3 years, stable scores were found in FSIQ, verbal and nonverbal intelligence and working memory, but reduced scores were found for processing speed. Patient age at diagnosis was found to be an important prognostic factor for the reduction in processing speed. These cognitive outcomes compare favorably to those reported for patients treated with photon RT.
Acknowledgments
We thank the XXXX pediatric patients and their families for participation in this study, and thank XXXX for assistance with data collection and entry.
Funding: The project described was supported by Award Number P01CA021239 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.
N.J.T. was on the medical advisory board of ProCure until 2008 and has stock options in ProCure that are currently without value. N.J.T.’s spouse continues to serve on the medical advisory board of ProCure.
Footnotes
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Conflict of Interest: Actual or potential conflicts of interest do not exist for any other author.
Presented at the American Society of Clinical Oncology, June 6, 2010, Chicago, Illinois; International Society of Paediatric Oncology, London, England, October 5, 2012; Nordic Symposium in Pediatric Proton Therapy, June 3, 2014.
References
- 1.Mulhern RK, Merchant TE, Gajjar A, et al. Late neurocognitive sequelae in survivors of brain tumours in childhood. Lancet Oncol. 2004;5:399–408. doi: 10.1016/S1470-2045(04)01507-4. [DOI] [PubMed] [Google Scholar]
- 2.de Ruiter MA, van Mourik R, Schouten-van Meeteren AYN, et al. Neurocognitive consequences of a paediatric brain tumour and its treatment: a meta-analysis. J. Dev Med Child Neurol. 2013;55:408–417. doi: 10.1111/dmcn.12020. [DOI] [PubMed] [Google Scholar]
- 3.Mabbott DJ, Penkman L, Witol A, et al. Core neurocognitive functions in children treated for posterior fossa tumors. Neuropsychology. 2008;22:159–168. doi: 10.1037/0894-4105.22.2.159. [DOI] [PubMed] [Google Scholar]
- 4.Palmer SL, Armstrong C, Onar-Thomas A, et al. Processing speed, attention, and working memory after treatment for medulloblastoma: An international, prospective, and longitudinal study. J Clin Oncol. 2013;31:3494–3500. doi: 10.1200/JCO.2012.47.4775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Mulhern RK, Kepner JL, Thomas PR, et al. Neuropsychologic functioning of survivors of childhood medulloblastoma randomized to receive conventional or reduced-dose craniospinal irradiation: A Pediatric Oncology Group study. J Clin Oncol. 1998;16:1723–1728. doi: 10.1200/JCO.1998.16.5.1723. [DOI] [PubMed] [Google Scholar]
- 6.Merchant TE, Kiehna EN, Li C, et al. Modeling radiation dosimetry to predict cognitive outcomes in pediatric patients with CNS embryonal tumors including medulloblastoma. Int J Radiat Oncol Biol Phys. 2006;65:210–221. doi: 10.1016/j.ijrobp.2005.10.038. [DOI] [PubMed] [Google Scholar]
- 7.Palmer SL, Goloubeva O, Reddick WE, et al. Patterns of intellectual development among survivors of pediatric medulloblastoma: A longitudinal analysis. J Clin Oncol. 2001;19:2302–2308. doi: 10.1200/JCO.2001.19.8.2302. [DOI] [PubMed] [Google Scholar]
- 8.Mulhern RK, Palmer SL, Merchant TE, et al. Neurocognitive consequences of riskadapted therapy for childhood medulloblastoma. J Clin Oncol. 2005;23:5511–5519. doi: 10.1200/JCO.2005.00.703. [DOI] [PubMed] [Google Scholar]
- 9.Merchant TE, Conklin HM, Wu S, et al. Late effects of conformal radiation therapy for pediatric patients with low-grade glioma: Prospective evaluation of cognitive, endocrine, and hearing deficits. J Clin Oncol. 2009;27:3691–3697. doi: 10.1200/JCO.2008.21.2738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mulhern RK, Palmer SL, Reddick WE, et al. Risks of young age for selected neurocognitive deficits in medulloblastoma are associated with white matter loss. J Clin Oncol. 2001;19:472–479. doi: 10.1200/JCO.2001.19.2.472. [DOI] [PubMed] [Google Scholar]
- 11.Reddick WE, Glass JO, Palmer SL, et al. Atypical white matter volume development in children following craniospinal irradiation. Neuro Oncol. 2005;7:12–19. doi: 10.1215/S1152851704000079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Palmer SL, Glass JO, Li Y, et al. White matter integrity is associated with cognitive processing in patients treated for a posterior fossa brain tumor. Neuro Oncol. 2012;14:1185–1193. doi: 10.1093/neuonc/nos154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.MacDonald SM, Ahmad S, Kachris S, et al. Intensity modulated radiation therapy versus three-dimensional conformal radiation therapy for the treatment of high grade glioma: A dosimetric comparison. J Appl Clin Med Phys. 2007;8:47–60. doi: 10.1120/jacmp.v8i2.2423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wolden S. Protons for craniospinal radiation: are clinical data important? Int J Radiation Oncol Biol Phys. 2013;87:231–232. doi: 10.1016/j.ijrobp.2013.05.036. [DOI] [PubMed] [Google Scholar]
- 15.Kirsch DG, Tarbell NJ. New technologies in radiation therapy for pediatric brain tumors: the rationale for proton radiation therapy. Pediatr Blood Cancer. 2004;42:461–464. doi: 10.1002/pbc.10471. [DOI] [PubMed] [Google Scholar]
- 16.Hoffman KE, Yock TI. Radiation therapy for pediatric central nervous system tumors. J Child Neurol. 2009;24:1387–1396. doi: 10.1177/0883073809342275. [DOI] [PubMed] [Google Scholar]
- 17.MacDonald SM, Trofimov A, Safai S, et al. Proton radiotherapy for pediatric central nervous system germ cell tumors: Early clinical outcomes. Int J Radiat Oncol Biol Phys. 2011;79:121–129. doi: 10.1016/j.ijrobp.2009.10.069. [DOI] [PubMed] [Google Scholar]
- 18.MacDonald SM, Sethi R, Levally B, et al. Proton radiotherapy for pediatric central nervous system ependymoma: clinical outcomes for 70 patients. Neuro Oncol. 2013;15:1552–1559. doi: 10.1093/neuonc/not121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Greenberger BA, Pulsifer MB, Ebb DH, et al. Clinical outcomes and late endocrine, neurocognitive, and visual profiles of proton radiation for pediatric low-grade gliomas. Int J Radiat Oncol Biol Phys. 2014;89:1060–1069. doi: 10.1016/j.ijrobp.2014.04.053. [DOI] [PubMed] [Google Scholar]
- 20.Eaton B, Yock T. The Use of Proton Therapy in the Treatment of Benign or Low-Grade Pediatric Brain Tumors. Cancer J. 2014;20:403–408. doi: 10.1097/PPO.0000000000000079. [DOI] [PubMed] [Google Scholar]
- 21.Sands SA. Helping Survivors of Medulloblastoma Learn From What We Learn. J Clin Oncol. 2013;31:3480–3482. doi: 10.1200/JCO.2013.51.0578. [DOI] [PubMed] [Google Scholar]
- 22.Paganetti H, Niemierko A, Ancukiewicz M, et al. Relative biological effectiveness (RBE) values for proton beam therapy. Int J Radiat Oncol Biol Phys. 2002;53:407–421. doi: 10.1016/s0360-3016(02)02754-2. [DOI] [PubMed] [Google Scholar]
- 23.MacDonald SM, DeLaney TF, Loeffler JS. Proton beam radiation therapy. Cancer Invest. 2006;24:199–208. doi: 10.1080/07357900500524751. [DOI] [PubMed] [Google Scholar]
- 24.Wechsler D. The Wechsler Intelligence Scale for Children. ed 4. San Antonio, Texas: A Harcourt Assessment Company; 2003. [Google Scholar]
- 25.Wechsler D. The Wechsler Adult Intelligence Scale. ed 3. San Antonio, Texas: A Harcourt Assessment Company; 1997. [Google Scholar]
- 26.United States Census Bureau. American Community Survey, Median income. From the 2008–2012 American Community Survey 5-Year Estimates. [Accessed June 9, 2014]; Available at http://factfinder2.census.gov/faces/nav/jsf/pages/community_facts.xhtml.
- 27.Ris MD, Packer R, Goldwein J, et al. Intellectual outcome after reduced-dose radiation therapy plus adjuvant chemotherapy for medulloblastoma: A Children's Cancer Group study. J Clin Oncol. 2001;19:3470–3476. doi: 10.1200/JCO.2001.19.15.3470. [DOI] [PubMed] [Google Scholar]
- 28.Spiegler BJ, Bouffet E, Greenberg ML, et al. Change in neurocognitive functioning after treatment with cranial radiation in childhood. J Clin Oncol. 2004;22:706–713. doi: 10.1200/JCO.2004.05.186. [DOI] [PubMed] [Google Scholar]
- 29.Palmer SL, Gajjar A, Reddick WE, et al. Predicting intellectual outcome among children treated with 35–40 Gy craniospinal irradiation for medulloblastoma. Neuropsychology. 2003;17:548–555. doi: 10.1037/0894-4105.17.4.548. [DOI] [PubMed] [Google Scholar]
- 30.Netson KL, Conklin HM, Wu S, et al. A 5-year investigation of children's adaptive functioning following conformal radiation therapy for localized ependymoma. Int J Radiat Oncol Biol Phys. 2012;84:217–223. doi: 10.1016/j.ijrobp.2011.10.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Cotter SE, McBride SM, Yock TI. Proton radiotherapy for solid tumors of childhood. Technol Cancer Res Treat. 2012;11:267–278. doi: 10.7785/tcrt.2012.500295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Merchant TE, Hua CH, Shukla H, et al. Proton versus photon radiotherapy for common pediatric brain tumors: Comparison of models of dose characteristics and their relationship to cognitive function. Pediatr Blood Cancer. 2008;51:110–117. doi: 10.1002/pbc.21530. [DOI] [PubMed] [Google Scholar]
- 33.Nathan PC, Patel SK, Dilley K, et al. Guidelines for Identification of, Advocacy for, and Intervention in Neurocognitive Problems in Survivors of Childhood. Cancer Arch Pediatr Adolesc Med. 2007;161:798–806. doi: 10.1001/archpedi.161.8.798. [DOI] [PubMed] [Google Scholar]
- 34.Sattler JM. Assessment of children: Behavioral and clinical applications. 4th ed. La Mesa, CA, US: Jerome M Sattler Publisher; 2002. [Google Scholar]

