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The aims of this study were to characterize and quantify time-frequency changes in transient-evoked otoacoustic emissions (TEOAEs) recorded in children diagnosed with retinoblastoma who were receiving carboplatin chemotherapy. A signal processing technique, the wavelet transform (WT), was used to analyze TEOAE waveforms in narrow-band frequency components. Ten children (aged 3–72 months) diagnosed with unilateral or bilateral retinoblastoma were enrolled in the study. TEOAEs were acquired from the children with linear sequences of 70 dB peSPL clicks. After WT analysis, TEOAE energy, latency, and normalized energy in the narrow-band frequency components were compared before and during carboplatin (average dose 1693 mg/m2) chemotherapy treatment. On a group basis, no significant differences (p>0.05) in pre- and post-carboplatin TEOAE energy, latency, or normalized energy were observed. There were decreases in normalized energy on an individual basis in 10/18 ears in the sample. Exposure to carboplatin chemotherapy did not cause significant changes in TEOAE energy, latency, and normalized energy during treatment. However, long-term monitoring of hearing with measurements of TEOAEs is warranted given the risks of delayed hearing loss in some children receiving carboplatin chemotherapy.
Carboplatin (cis-diammine [1,1-cyclobutanedicarboxylate]-platinum [II]) is a second-generation platinum compound that initially was reported to have less ototoxic side effects than cisplatin in children [Bacha et al., 1986]. More recently, clinical studies of carboplatin ototoxicity conducted in children have revealed conflicting results. Macdonald et al.  found that 50 % of children in their study had a sensorineural hearing loss in the 4,000–12,000 Hz range following treatment with carboplatin. They found that hearing losses could occur after the first dose of carboplatin, and that hearing losses could progress with subsequent doses. Similarly, Simon et al.  reported that 40% of children treated with high-dose carboplatin developed a hearing impairment and Knight et al.  found that 38% of children treated with carboplatin developed sensorineural hearing loss. In contrast, other studies have found that ototoxic complications from carboplatin chemotherapy were rare and mild in severity [Bertolini et al., 2004; Dean et al., 2008; Stern and Bunin, 2003]. The variability of carboplatin ototoxicity seen across past studies may be related to insufficient control of confounding factors. Factors that may potentiate the severity of carboplatin ototoxicity include prior exposure to cisplatin or other ototoxic medications and high dosage of carboplatin associated with autologous stem cell reinfusion [Knight et al., 2005; Parsons et al., 1998]. Another factor that may increase the severity of platinum-compound ototoxicity is patient age, with younger children being more susceptible than older children [Li et al., 2004; Qaddoumi et al., 2012].
Children diagnosed with retinoblastoma are among the youngest-identified cancer victims. Retinoblastoma is an uncommon malignant intraocular tumor with a mean age-adjusted incidence of 11.8 per million children [Broaddus et al., 2009]. The vast majority of children with retinoblastoma are diagnosed before three years of age, with cases of bilateral retinoblastoma usually recognized at an earlier age than cases of unilateral retinoblastoma [Abramson et al., 1998; Broaddus et al., 2009]. Traditionally, the treatment options for retinoblastoma included enucleation (removal of the affected eye or eyes) and external beam radiation therapy. Due to efforts to preserve vision and avoid facial disfigurements due to radiation in patients, a more conservative approach with systematic chemotherapy is often recommended in children meeting the criteria for this form of treatment. Carboplatin is often included in multi-drug chemotherapy regimens designed to treat retinoblastoma [Rodriguez-Galindo et al., 2003]. The pathophysiology of carboplatin ototoxicity is not completely understood, but evidence from animal models suggests dose-dependent and species-specific effects of carboplatin. In chinchillas, low doses of carboplatin cause progressive inner hair cell and spiral ganglion neuron loss from the apex to the base of the cochlea, and outer hair cells (OHCs) are largely unaffected [Hofstetter et al., 1997; Takeno et al., 1994]. At higher doses of carboplatin, extensive loss of IHCs is exhibited across all cochlear turns and loss of OHCs is exhibited most prominently in the basal turn [Bauer and Brozowski, 2005; Hofstetter et al., 1997]. Studies of high-dose carboplatin administration in guinea pigs reveal that primarily OHCs are destroyed [Saito et al., 1989].
Given the potential for damage to cochlear structures, monitoring for carboplatin ototoxicity in pediatric cancer patients is a priority. Early detection of potential ototoxicity from carboplatin can lead to clinical decisions to lower drug dosage to preserve residual hearing or can lead to enrollment in early intervention programs in cases where the dosage cannot be modified. In addition, children with retinoblastoma have visual impairment in one or both eyes, making it crucial to recognize if carboplatin is potentially causing an additional sensory handicap. Behavioral hearing tests can be difficult to conduct or interpret in young children or infants. Studies have shown that otoacoustic emission (OAE) tests are an effective alternative to behavioral hearing assessments in monitoring cochlear function in children exposed to ototoxic drugs [Knight et al., 2007; Stavroulaki et al., 2001]. OAEs are usually inaudible sounds that can be measured in an ear canal by a probe assembly containing a sensitive microphone. It is believed that OAEs originate from OHC oscillations that are requisite for the high sensitivity and sharp tuning of the healthy cochlea [Brownell, 1990]. Transient-evoked otoacoustic emissions (TEOAEs) are observed after acoustic stimulation of an ear with brief sounds such as clicks or tone bursts. As a non-invasive and indirect test of OHC function, measurements of TEOAEs have been informative in providing early evidence of OHC dysfunction in some individuals receiving platinum-compound chemotherapy. Yilmaz et al.  found that in patients receiving cisplatin for lung cancer, changes in TEOAEs were detected before changes in pure-tone thresholds occurred. However, other studies have shown that TEOAEs are less sensitive than pure-tone thresholds at indicating the early onset of cisplatin ototoxicity [Allen et al., 1998; Stavroulaki et al., 2001; Yardley et al., 1998]. Clinical studies of carboplatin ototoxicity using TEOAEs are less prevalent in the literature. Yardley et al.  found changes in TEOAEs in adult patients exposed to cisplatin, but no changes were seen in adult patients exposed to carboplatin. Since pure-tone thresholds are often difficult to measure in the youngest patients with retinoblastoma, it is imperative that an OAE test sensitive to the early effects of ototoxic drugs be utilized. Most conventional TEOAE tests utilize a Fast Fourier Transform (FFT) to analyze the TEOAE waveform across broadband or half-octave band regions. These FFT spectral components are measured before and after chemotherapy treatment to examine if a change in the level (in dB) of a spectral component is reduced following exposure to the platinum compound. FFT analysis is best suited for stationary waveforms that do not exhibit changes in frequency over time. The TEOAE waveform is comprised of a summation of evoked responses from divergent cochlear locations, with each location tuned to a characteristic frequency. The latency of the response from each cochlear location contributing to the overall response is different from the base to the apex of the cochlea, producing a time-varying TEOAE waveform. FFT analysis may not capture the more subtle changes in the TEOAE waveform which are direct consequences of the time-varying behavior of the TEOAE signal that may signify the early onset of ototoxicity. A signal processing technique that is theoretically more suited to analyze with high accuracy the time-varying TEOAE waveform is the wavelet transform (WT) [Tognola et al., 1998]. Application of WT analysis allows the whole TEOAE waveform to be decomposed into a larger set of frequency components, each representing cochlear functioning within a narrow-band region along the basilar membrane. From both theoretical and practical points of view, a filter bank approach based on the traditional FFT gives no information on how the frequency content of TEOAEs changes with time. As such, the traditional FFT analysis performs very well in clinical applications (such as in neonatal hearing screening) where it is not necessary to extract and analyze subtle features of the signal that are direct consequences of the time-varying behavior of TEOAEs. On the contrary, FFT analysis may not be accurate in all the other cases where it is necessary to extract parameters that may reveal subtle and subclinical alterations of the signal. Past studies [Marozas et al., 2006; Tognola et al., 1998; 1997; Yang et al., 2002; Zhang et al., 2008] demonstrated that in these latter cases, the most suitable approaches for the analysis of TEOAEs are those based on the WT, because of the sharp time and frequency resolutions these approaches have. The rationale behind the better performance of WT-based approaches in detecting subtle alterations in time-varying signals is that the time and frequency resolution of these methods is not fixed over the entire time-frequency plane but can vary. In this way, high-frequency components can be analyzed with a good time resolution while low-frequency components can be analyzed with a good frequency resolution. In particular, the WT analysis gives very accurate results if the signal is made up by low-frequency components of long duration and high-frequency components of brief duration, such as in the case of TEOAEs. Several studies have shown the usefulness of WT analysis when highly sensitive methods are needed to detect possible subtle changes in TEOAEs. Information gained from WT analysis of TEOAEs has led to insights concerning the development of cochlear mechanisms in newborns and young infants [Moleti et al., 2005; Tognola et al., 2001], the altered cochlear mechanisms underlying noise-induced hearing loss and tinnitus in adults [Tognola et al., 1999; Paglialonga et al., 2011b], the effects of exposure to electromagnetic fields on cochlear mechanisms in adults [Paglialonga et al., 2007], and the effects of deletion of the elastin gene on active cochlear mechanisms in patients with Williams syndrome [Paglialonga et al., 2011a].
To date, no study has utilized WT analysis of TEOAEs in children exposed to platinum compounds. The aims of this study were to characterize and quantify time-frequency changes in TEOAEs recorded in children diagnosed with retinoblastoma who were receiving carboplatin chemotherapy. The children examined in this study were evaluated in a protocol that utilized distortion-product otoacoustic emission (DPOAE) and TEOAE measurements. The DPOAE test results were reported in an earlier paper [Bhagat et al., 2010] and this paper presents the results from the TEOAE tests.
The subjects were children undergoing treatment for retinoblastoma at St. Jude Children’s Research Hospital as part of a frontline protocol. The study sample was comprised of ten children (five females, five males). There were five cases of unilateral retinoblastoma and five cases of bilateral retinoblastoma. The ages (rounded to the nearest month) of the children at the onset of treatment ranged from 3 months to 72 months. The demographic characteristics of the children are listed in Table 1. This study was approved by the Institutional Review Boards of the respective institutions of the researchers, and informed consent was obtained from the parents/legal guardians of the children.
Carboplatin was delivered via intravenous (i.v.) administration at 3–4 week intervals. The children received 3–4 courses of chemotherapy. The dose of carboplatin received by each child at the midpoint of the chemotherapy regimen ranged from 1236–2210 mg/m2 (see Table 1). The children also received vincristine and topotecan or etoposide either concurrently with or previous to the carboplatin treatments. Although the children received multiple chemotherapy drugs, only carboplatin has well-documented ototoxic side effects. The main side effect of vincristine is neurotoxicity, and it is not thought to damage OHCs or alter measurements of TEOAEs in adult human patients [Riga et al., 2006]. Similarly, exposure to topotecan did not affect measurements of TEOAEs in rabbits [Bayar et al., 2001]. Primary side effects associated with topotecan and etoposide include myelosuppression, nausea, vomiting, and alopecia.
Audiological tests were conducted at St. Jude Children’s Research Hospital. The monitoring protocol included otoscopy, tympanometry screening, and measurements of TEOAEs. DPOAE measurements were also obtained in several of the children as described in Bhagat et al. . Both TEOAE and DPOAE measurements could not be completed in all children due to time constraints. All of the children completed a monitoring protocol during a baseline evaluation and an interim evaluation. The interim evaluation was conducted following the course of carboplatin at the midpoint of the child’s chemotherapy regimen. This time point was chosen to determine if changes in TEOAE waveforms could be registered early in the course of chemotherapy for each child. TEOAE tests in children < 12 months of age at the onset of treatment were conducted in a suite. The older child was tested in a double-walled sound-treated booth. For nine of the ten children, the baseline evaluation took place prior to chemotherapy treatment. In the remaining child (#002), the baseline evaluation was conducted one week after the child received one course of carboplatin. During the baseline and interim evaluations, eight children were sedated during testing. Personnel from the Anesthesiology department at St. Jude were present and actively monitored these children while they were sedated. One child was tested during natural sleep, and the remaining child (the oldest) was tested after completing pure-tone audiometry. Middle-ear function in the younger children was evaluated in both ears with a screening tympanometer (Maico, MI 24) capable of obtaining measurements with 226- or 1000-Hz probe tones. The oldest child was tested with a diagnostic tympanometer (GSI TympStar) programmed for tympanometry screening. Tympanometry screening results suggested normal middle-ear function bilaterally in the children at the time of the baseline and interim evaluations. This was indicated by the presence of single-peaked 226- and/or 1000-Hz tympanograms with a maximum admittance near 0 deca Pascals [Alaerts et al., 2007; Jerger, 1970]. Measurements of TEOAEs were obtained from both right and left ear canals in eight of the children with an otoacoustic emissions analyzer (Otodynamics, ILO 296) interfaced with a laptop computer (Dell Latitude D610). In the remaining two children (#010 and #014), comparisons between baseline and interim measurements were made in one ear due to the presence of cerumen impaction in the other ear. The ILO probe was calibrated using the 1-cc cavity provided by the manufacturer prior to each baseline and interim test. The stimuli for TEOAE measurements consisted of 80 microsecond clicks presented at a rate of 50 per second. The clicks were generated by the ILO v6 software program and transduced through the probe receiver at a targeted level of 70 dB peSPL. A miniature microphone in the probe was used to detect the TEOAE response in the ear canal. The adequacy of the probe fit was checked prior to each TEOAE measurement by observing the stimulus spectrum in the ear canal and determining that the stimulus level closely matched the targeted level according to the guidelines recommended in the ILO v6 manual. The stimulus level in the ear canal is measured at a distance from the tympanic membrane. Data collection began after the fit of the probe was determined to be satisfactory. TEOAEs were averaged using the linear acquisition mode, which maximizes the signal-to-noise ratio of the TEOAE response in young children [Tognola et al., 2001]. TEOAE responses were collected for trains of four click stimuli of the same polarity and intensity. Two memory buffers each 20 miliseconds (ms) in duration were used to store the TEOAE responses. The responses for the first train of stimuli was stored in buffer A and the response for the next train of stimuli was stored in buffer B. Each accepted sweep was the average of the responses to eight stimuli (four in buffer A and four in buffer B). Averaging of the TEOAE waveform was automatically terminated after 260 low-noise sweeps were collected.
As described previously, the TEOAE waveform exhibits “frequency dispersion”, meaning that the frequency content of the waveform varies along with time [Kemp, 1978]. The latency of appearance of frequency components in the TEOAE waveform is related to the frequency of the component: higher frequency components have shorter latencies than lower frequency components. The temporal organization of frequencies in the TEOAE waveform is consistent with place-frequency mapping in the cochlea, with basal regions tuned to high frequencies and apical regions tuned to lower frequencies. In this study, TEOAE waveforms were decomposed offline into a set of frequency components by WT analysis (Mallat, 1989). The WT at the generic time and frequency f of a signal x(t) is defined as:
Basically the WT decomposes a signal into elementary components by means of a bank of band-pass filters- - that are iteratively derived from a unique prototype function w̲(t) called the mother wavelet. The mother wavelet w̲(t) is a function with finite energy and centered around t=0; its Fourier transform is a bandpass function centered around frequency f0. The bandwidth of the band-pass filters derived from the mother wavelet is proportional to the center frequency of the filter; whereas the duration of their impulse response in the time domain is inversely proportional to the center frequency of the filter (for a more detailed mathematical explanation, see Tognola et al. [1997, 1998]. The set of values WT (τ,f̲) calculated from Eq. (1) for each time τ and frequency f is the time-frequency spectral distribution of the signal x(t) and gives an indication as to which spectral components are present and at which times. An optimized mother wavelet has been developed to analyze TEOAEs [Tognola et al., 1998]:
By using Eq. (1–2), TEOAEs were decomposed into 100-Hz wide (exact bandwidth 97.66 Hz) frequency components in the approximate 500–5000 Hz range (exact frequency range 488–5078 Hz) for a total of 48 frequency components for each TEOAE waveform. The main parameters evaluated for each waveform were the root-mean-square (rms) energy of the whole TEOAE signal and noise and the latency and the normalized energy for each of the 48 frequency components. The energy parameter is defined as the rms value in miliPascals (mPa) of the TEOAE signal and noise of each TEOAE. The signal was defined as 0.5*(xA+xB) and the noise was defined as (xA−xB)/√2, where xA and xB are the two replicate recordings (the A and B memory buffers). Similarly, the energy (rms value) of each of the 48 frequency components was computed using the same Eq. 2 by substituting xA and xB with the components extracted, at each frequency, from each of the two TEOAE recording buffers. The normalized energy is the percent value of the energy (rms value) of each frequency component normalized versus the energy of the broadband TEOAE. In this manner, if you sum up all of the normalized energy (%) of each component, the total sums to 100%. The normalized energy percentage for each frequency component estimates the weight of each frequency component relative to the whole TEOAE energy. The latency of the 48 frequency components was extracted with WT analysis from each TEOAE and was defined as the time interval between the stimulus onset and the time sample where the envelope of the frequency component reached its maximum value.
Data obtained from the right and left ears were statistically evaluated in separate analyses. For the parameters TEOAE latency and normalized energy, mean data were available for each of the 48 frequency components. In order to condense this information for statistical analysis purposes, data for both TEOAE latency and normalized energy were averaged across every six frequency components (corresponding to 600-Hz wide bands) from approximately 500 to 5000 Hz for a total of eight bands.
The data were statistically analyzed using the Statistical Package for the Social Sciences (SPSS) version 16.0 software. An alpha level of 0.05 was adopted for all statistical tests. Given the small sample size, Wilcoxon signed-rank tests were conducted on the whole TEOAE energy, and on the TEOAE latency and normalized energy in the eight bands measured at the baseline and interim evaluations in order to determine if any significant differences were registered between these conditions. The Bonferroni correction was applied to adjust for Type I error inflation for the statistical tests conducted on TEOAE latency and normalized energy in the eight bands (0.05/8= 0.006). In addition to statistical analysis for the mean data, descriptive data on individual subjects was catalogued and individual trends were reported.
The whole TEOAE energy at the baseline and interim measurements is shown for each subject in Table 2. For purposes of comparison with other studies, these whole TEOAE energy values were converted from mPa into decibels re: 20 microPascals (dB SPL). Subject #002 received one course of chemotherapy before his baseline measurement could be completed. As can be seen, the baseline measurement in subject #002 was not clearly below baseline measurements of the other children in the study, suggesting that the one course of chemotherapy did not adversely bias baseline measurements in this child. Examples of TEOAE waveforms for individual subjects can be seen in Figures 1–2. The left panels indicate TEOAE waveforms at the baseline measurement and the right panels indicate TEOAE waveforms measured at the interim measurement. The ear of each subject is also labeled. As can be seen, there are changes in the amplitude of TEOAE waveforms, but no common trend could be observed for all of the ears. There were some ears in which the amplitude of the TEOAE decreased at the interim measurement compared to the baseline measurement, and other ears where the amplitude of the TEOAE increased at the interim measurement compared to the baseline measurement. The TEOAE energy over the whole group of ears appeared not to change between conditions. The results of the statistical analysis indicated that there was no statistically significant difference in baseline and interim TEOAE signal energy or noise energy between conditions (p > 0.05).
TEOAE latency is plotted for each ear across the eight bands derived from the 48 frequency components in Figure 3. These curves follow the well-known trends of higher frequencies having shorter latencies and lower frequencies having longer latencies. In normal hearing subjects, this trend between latency and frequency is well described by a power law model, as shown by Tognola et al. :
where LAT and f are the latency (ms) and the frequency (in kHz) of the TEOAE component, and a and b are constant parameters. Normative data derived from adults with well-functioning OHCs [Tognola et al., 1997], showed that the parameter b is almost not influenced by the intensity of the click stimuli and ranges from −0.44 to −0.40, whereas the parameter a depends on the intensity of the click stimuli. As shown in Figure 3, the latency curves computed before and during carboplatin treatment were very similar and did not reveal systematic differences between the baseline and interim measurements. This was the case for both right and left ears. The statistical analysis revealed no significant differences (p >0.05) in latency between conditions for either right or left ears. TEOAE normalized energy for the eight bands derived from the 48 frequency components is shown in Figure 4. Although there were nominal decreases in values of normalized energy particularly in the 2246–2734 Hz and 2832–3320 Hz bands in both ears, no statistically significant differences in these frequency bands were observed. Tables 3, ,4,4, and and55 display the statistical test results for the analyses performed on the whole TEOAE energy and on the TEOAE latency and normalized energy in the eight bands.
Differently from what was observed in the pooled data, decreases in the 2000–3000 Hz range were found in some individual subject data. This was observed in TEOAEs recorded in 10/18 ears that were included in the sample studied. As examples, Figure 5 depicts changes in TEOAE normalized energy in four individual ears when comparing the baseline measurement to the interim measurement.
The aims of this study were to characterize and quantify time-frequency changes in TEOAEs recorded in children diagnosed with retinoblastoma who were receiving carboplatin chemotherapy. WT analysis of TEOAEs provides a novel means to examine potential ototoxicity in the pediatric population with a methodology that offers several advantages over conventional FFT analysis of TEOAE waveforms. In infants and young children, behavioral hearing tests can often be difficult to conduct and difficult to interpret. The methods used to evaluate hearing behaviorally in the youngest children often lack frequency specificity. Measurement of TEOAEs offers a useful alternative to behavioral audiometry in that TEOAEs do not require children to actively participate in the test, and can offer information on cochlear integrity in specific frequency regions. In addition, the TEOAE waveform can be subjected to powerful signal processing techniques, such as WT analysis, which can adequately quantify changes in time-varying signals. As described earlier in the text (see Introduction), the WT analysis has the potential to accurately assess possible subtle auditory dysfunctions that may signal the onset of ototoxicity.
The results of this study indicated that on a group basis, no statistically significant differences in WT measurements of TEOAE energy, latency, or normalized energy occurred when comparing TEOAE measurements obtained before and after 3–4 courses of carboplatin chemotherapy. These results are consistent with previous studies of OAEs in children with retinoblastoma receiving carboplatin chemotherapy. Bhagat et al.  found that the mean DPOAE levels were reduced after carboplatin chemotherapy in these children only at the highest frequency tested, which was 7996 Hz. The highest TEOAE frequency evaluated in the current study was approximately 5000 Hz, and so the results seen in this investigation agree with the findings of the previous study. Similarly, Smits et al.  found little evidence of a carboplatin-induced change in OAEs in their sample of children with retinoblastoma receiving chemotherapy. In older children, the literature indicates that the incidence of carboplatin-induced hearing loss after chemotherapy as measured on the audiogram in youngsters afflicted with retinoblastoma is variable, with as few as 6.6% of children [Pecora Liberman et al., 2011] to as many as 15.3 % of children [Namouni et al., 1997]. While carboplatin ototoxicity is uncommon immediately following the completion of the chemotherapy regimen, long-term studies of children receiving carboplatin for retinoblastoma indicate that cases of delayed hearing loss, years after children complete the chemotherapy regimen, can occur [Jehanne et al., 2009]. In a retrospective review of 60 patients with retinoblastoma treated with carboplatin at St. Jude Children’s Research Hospital, Qaddoumi et al.  found that 10/60 patients (17%) developed permanent hearing loss sometime after the initiation of treatment. There were four patients that were identified with hearing loss years after the initiation of treatment. Importantly, children less than 6 months of age at the onset of treatment were at significantly greater risk of developing carboplatin-induced hearing loss compared to children older than 6 months of age.
Identification of which children are more at risk of developing carboplatin ototoxicity later in life is a high priority. When carboplatin induces hearing loss, it is usually initially manifested first at frequencies higher than 4000 Hz [Macdonald et al., 1994]. It is conceivable that initial changes in OHC function would be localized initially to higher frequencies. Further exploration of this hypothesis would be aided by examining TEOAEs acquired with acoustic stimulation higher than 5000 Hz. Although there is a research effort aimed at evaluating high-frequency TEOAE tests, most of these studies have been conducted in adults [Goodman et al., 2009; Keefe et al., 2011]. Evaluation of high-frequency TEOAE tests in normal-hearing infants and young children and the creation of a normative database would facilitate the clinical application of this method, particularly in pediatric populations exposed to ototoxic agents.
When monitoring for platinum-compound ototoxicity, clinicians often compare results from pre-therapy tests to post-therapy tests in individual subjects. Therefore, noting changes in TEOAE waveforms on an individual basis can be informative. In the current investigation, there were decreases in normalized energy on an individual basis in the 2000–3000 Hz region in 10/18 ears studied in the sample. This result indicates that the frequency content of the TEOAE waveform had changed following exposure to carboplatin. Some of the frequency components within this frequency range which were predominant before the exposure, lost energy following treatment with carboplatin. It remains to be seen if these changes indicate a predisposition for the development of hearing loss, since most of the children examined in this study did not receive behavioral hearing threshold tests due to their young age. However, it is curious that decreases in normalized energy in the 2000–3000 Hz was a common finding across several of the children. Bhagat et al.  found that four out of ten children in this protocol had criterion reductions in DPOAE levels following carboplatin chemotherapy. Two of these children (#002 and #004) exhibited DPOAE level reductions in the 2000–4000 Hz frequency range. Studies in chinchillas have shown that round window exposure to a high dose of carboplatin (16mg/ml) could cause a progressive loss of OHCs beginning in the 1000 Hz region and increasing through the basal turn of the cochlea [Bauer and Brozowski, 2005]. The need to provide children receiving carboplatin with long-term monitoring is apparent given the potential development of delayed-onset hearing loss.
The use of WT analysis of TEOAE waveforms is a powerful methodology that has yet to be applied to monitoring for ototoxicity in the pediatric cancer population. It has been proven that WT analysis can provide useful information that can supplement the information provided by other techniques used to evaluate TEOAE waveforms, including FFT analysis. This additional information includes the ability to quantify TEOAE energy and latency in multiple frequency bands that conventional measurement techniques typically cannot provide. The analysis of latency of TEOAE components is of great help to improve the detection of subtle and subclinical changes in cochlear mechanisms thanks to the high sensitivity of latency to possible subtle OHC dysfunction [Moleti et al., 2005] or to possible changes in the mechanical properties of the basilar membrane [Sisto and Moleti, 2002]. As the latency of TEOAE components gives an estimate of the cochlear round-trip delay from the base of the cochlea to the tonotopic place and back, possible alterations in latency of TEOAE components could suggest alterations in the mechanical properties of the basilar membrane, cochlear tuning, and propagation velocity of the traveling wave [Andoh and Wada, 2004; Moleti et al., 2005]. Also, as argued by Tognola et al.  and Jedrzejczak et al. , alterations in latency of TEOAE components could also be an indicator of local functional impairment of OHCs, that would result in a shift of the cochlear response in adjacent (well-functioning) regions and, thus, in changes in the length of the cochlear traveling path.
Although it is not yet commercially available, the use of WT analysis of TEOAE waveforms is a novel methodology that should be applied to monitoring for ototoxicity in the pediatric cancer population. Future research, including finding evidence of the early onset of ototoxicity caused by other platinum compounds (e.g. cisplatin), would benefit from the application of WT analysis of TEOAEs.
For the conditions examined in this study:
This work as supported in part by grants CA 21765 and CA 23099 from the U.S. Public Health Service and by the American Lebanese Syrian Associated Charities (ALSAC). We wish to thank Tammy Free and Vicki Given for their contributions to this project.
Portions of this paper were presented at AudiologyNow! in Boston, Massachusetts on March 30, 2012.