Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2019 Dec 30;9:20361. doi: 10.1038/s41598-019-56969-9

The Relationship Between Evaluation Methods for Chemotherapy-Induced Peripheral Neuropathy

Yoichiro Yoshida 1,, Atsushi Satoh 2, Teppei Yamada 1, Naoya Aisu 1, Taisuke Matsuoka 1, Tomoko Koganemaru 1, Ryuji Kajitani 1, Taro Munechika 1, Yoshiko Matsumoto 1, Hideki Nagano 1, Akira Komono 1, Ryohei Sakamoto 1, Mitsuaki Morimoto 1, Hisatomi Arima 2, Suguru Hasegawa 1
PMCID: PMC6937307  PMID: 31889149

Abstract

Numbness and pain are currently evaluated using subjective methods such as the visual analogue scale (VAS). PainVision (PV) is an analytical instrument that was designed to quantitatively assess sense perception and nociception in patients. Chemotherapy-induced peripheral neuropathy (CIPN) is one of the most important adverse events that renders prolonged chemotherapy difficult. To assess the features of CIPN, we aimed to compare PV methods with existing methods. A total of 73 patients received oxaliplatin for metastatic colorectal cancer. Registered patients included 37 men and 36 women in the range of 37 to 89 years (median 70). CIPN was evaluated a total of 483 times (median per patient six times). Our study examined the correlation between evaluation methods of CIPN using VAS and PV, respectively. The average VAS (hand), VAS (foot) and PV scores of CIPN were 18.4 (range: 0–100), 23.8 (range: 0–100), and 24.7 (range: 0–496), respectively. VAS (hand), VAS (foot), and FACT/GOG-NTX (NTX2, NTX4 and NTX8) were significantly correlated with PV. PV showed no correlation with a Disk-Criminator or the monofilament test used as a quantitative evaluation. The evaluation of CIPN is complex, and further improvement is required for evaluation with PV.

Subject terms: Neuropathic pain, Neurotoxicity syndromes

Introduction

Chemotherapy-induced peripheral neuropathy (CIPN) is one of the most important adverse events that makes it difficult to continue chemotherapy13. There are numerous characteristics of CIPN such as burning/shooting pain, tingling, and numbness. There is little information on the relationship between numbness, tingling, and burning/shooting pain. Sensations of pain as reported by patients include “cold,” “burning,” and “dull,” or more descriptively as “walking on razor blades”4. The correlations between burning/shooting pain versus either numbness or tingling were weak5. Prevention and treatment of CIPN are indispensable in improving patient quality of life and promoting the continuation of chemotherapy. However, there are currently no effective precautions or treatments for CIPN6,7.

Electrophysiological examinations such as nerve conduction study (NCS) play a central role in the diagnosis of general peripheral neuropathy8,9. NCS is considered the gold standard for the objective evaluation method of diabetic polyneuropathy worldwide, but it is rarely applied to neuropathies caused by chemotherapy. NCS is useful in diagnosing neurological diseases by not only revealing the presence but also the severity classification of the diagnosis. However, measurement error is unavoidable, reproducibility is also considered a problem, and the abnormality rate of sensory nerve conduction velocity of diabetic neuropathy is not high10.

In the CIPN guidelines of the American Society Clinical Oncology (ASCO), 39 prevention clinical trials and six treatment clinical trials are cited11. In both cases, no diagnostic criteria for diagnosing the presence of CIPN is described, and only less than half of the patients have undergone electrophysiological examination and neurological examination. There is no clear criterion for those who undergo these tests, and it cannot be said that it is useful for judging the effect of existing diagnoses or treatment interventions. For the treatment and prevention of CIPN, an easy method to quantify CIPN is necessary.

The visual analogue scale (VAS) has been used in clinical and epidemiologic research to measure various symptoms12, including peripheral neuropathy due to diabetes13,14 and chemotherapy15,16. VAS was evaluated to determine the amount of pain perceived by the patients, who were explicitly asked to score the pain considered to be CIPN related. The reliability value was obtained for the VAS17. Pain measurement by VAS has an error of approximately ±20 mm18. Therefore, an assessment method with less error is also necessary to evaluate drugs to ameliorate PN.

The Pain Vision PS-2100 system (PV; Nipro Co., Osaka, Japan) was introduced clinically1923. PV is an analytical instrument designed to evaluate patient sensory perception quantitatively. After measuring the Current Perception Threshold (CPT), the same method is used to measure the level of current that produces a sensation equivalent to pain. The stimulating current is generated after verifying that the patient can use the hand switch supplied with the kit. At the point the stimulating current is acknowledged as a sensation equivalent to pain, the hand switch button is pressed, finishing the measurement. Based on the CPT, the equivalent pain current is evaluated and can be displayed as pain degree values. The advantage of PV is that it can assess pain in a short time, as well as evaluate pain without causing pain to patients. However, the correlation between PV and other evaluation methods has not been reported. In this study, the correlation between assessment methods for CIPN was evaluated.

Results

Between April 2014 and December 2015, a total of 73 patients received oxaliplatin chemotherapy for metastatic CRC. Registered patients included 37 men and 36 women in the range of 37 to 89 years (median age, 70 years). CIPN was evaluated a total of 483 times (median per patient six times) using VAS, FACT/GOG-NTX, Disk-Criminator, monofilament and PV methods. CIPN occurred in 73.9% of patients. PV could identify 78.1% of the symptoms of CIPN. The average VAS (hand), VAS (foot) and PV scores of CIPN were 18.4 (range: 0–100), 23.8 (range: 0–100) and 24.7 (range: 0–496), respectively. The average NTX1, NTX2, NTX3, NTX4, NTX5, NTX6, NTX7, NTX8, NTX9, HI12 and An6 were 0.9, 1.1, 0.8, 1, 0.5, 0.5, 0.3, 0.4, 0.3, 0.5 and 0.3, respectively (Table 1). The distribution of FACT/GOG-NTX, Disk-Criminator, and monofilament scores are as shown in Table 2.

Table 1.

Baseline characteristics of patients.

Average SD Min 5th percentile 25th percentile Median 75th percentile 95th percentile Max
Age 67.4 9.9 37 51 61 70 75 79 89
PainVision 24.7 46.5 0 0 1 8 28 103 496
VAS (hand) 18.4 27.4 0 0 0 6 24 89 100
VAS (foot) 23.8 29.9 0 0 0 10 44 88 100
NTX1 0.9 1 0 0 0 1 1 3 4
NTX2 1.1 1.1 0 0 0 1 2 3 4
NTX3 0.8 1 0 0 0 1 1 3 4
NTX4 1 1.1 0 0 0 1 2 3 4
NTX5 0.5 0.9 0 0 0 0 1 2 4
NTX6 0.5 1 0 0 0 0 1 3 4
NTX7 0.3 0.8 0 0 0 0 0 2 4
NTX8 0.4 0.8 0 0 0 0 1 2 4
NTX9 0.3 0.6 0 0 0 0 0 2 4
HI12 0.5 0.9 0 0 0 0 1 2 4
An6 0.3 0.7 0 0 0 0 0 2 4
FACT/GOG NTX
Total score 6.7 7.2 0 0 1 4 10 20 37

SD: standard deviation; Min: minimum; Max: maximum; VAS: visual analogue scale; NTX1: numbness and tingling in the hands; NTX2: numbness and tingling in the feet; NTX3: discomfort in the hands; NTX4: discomfort in the feet; NTX5: joint pain/muscle cramps; NTX6: trouble hearing; NTX7: ringing/buzzing in the ears; NTX8: trouble buttoning buttons; NTX9: trouble feeling the shape of small objects; HI12: feeling weak all over; An6: trouble walking.

Table 2.

The distribution of FACT/GOG-NTX, Disk-Criminator, and monofilament scores.

FACT/GOG-NTX 0 1 2 3 4
NTX1 221 148 62 46 4
NTX2 190 124 94 70 3
NTX3 232 143 62 40 4
NTX4 211 111 92 59 8
NTX5 335 79 44 18 5
NTX6 355 74 10 29 13
NTX7 396 59 5 12 9
NTX8 355 86 24 13 3
NTX9 362 91 25 2 1
HI12 322 99 39 14 7
An6 371 69 30 8 2
Disk-Criminator (mm) 2 3 4 5 6 7 8 9
85 186 125 50 15 9 6 2
Monofilament Green Blue Purple Red
316 156 10 0

FACT/GOG-NTX: Functional Assessment of Cancer Therapy/Gynecologic Oncology Group–Neurotoxicity.

A strong positive correlation was found between VAS (hand) and VAS (foot) scores (r = 0.798) (Fig. 1). Each data point represents one assessment from a single patient. The average value obtained by subtracting the VAS (hand) from VAS (foot) was 5.38 (SD: 18.32), which was not significant in the t-test (p < 0.001). This finding indicates that the average VAS (foot) value was higher than the VAS (hand) value.

Figure 1.

Figure 1

Correlation between VAS (hand) and VAS (foot) scores.

A scatter plot of PV and FACT/GOG-NTX, a scatter plot of PV and VAS, a scatter plot of PV, and Disk-Criminator or monofilament are shown in Figs. 2, 3 and 4, respectively. In Fig. 2, the horizontal axis represents a score of 0–4 for each FACT/GOG-NTX question item, and the vertical axis represents the PV score. Despite evaluating the same symptoms, neither show a strong correlation. These figures do not take into account intraindividual variability. Thus, in Table 3, the results of hierarchical mixed models, including random individual effects and fixed effects of age and sex are shown. VAS (hand), VAS (foot), NTX 2, NTX 4 and NTX 8 were significantly associated with PV. There were no significant associations of the Disk-Criminator™ and monofilament methods with PV scores (Table 3). The associations between the repeated measurements of changes from the initial evaluations of VAS (hand), VAS (foot), Disk-Criminator, monofilament, and FACT/GOG-NTX, and those in PV were analyzed using a hierarchical mixed model to determine the best method for detecting increased CIPN symptoms when patients received additional chemotherapy (Table 4). The lowest P-value was VAS (foot), which correlated best with the amount of change over time. In Fig. 5, the lower the Disk-Criminator score, the higher the PV score, VAS (hand), and NTX1 values. Those with a Disk-Criminator score of 9 did not have high PV scores, VAS (hands), and NTX1 values. Similar findings were also observed for the monofilament score (Fig. 6).

Figure 2.

Figure 2

Distribution of PainVision and FACT/GOG-NTX scores.

Figure 3.

Figure 3

Correlation between PainVision and VAS (hand) or VAS (foot) scores.

Figure 4.

Figure 4

Distribution of PainVision and Disk-Criminator or monofilament scores.

Table 3.

The associations of VAS (hand), VAS (foot), Disk-Criminator, monofilament, and FACT/GOG-NTX with Pain Vision score.

Dependent variable Explanatory variable Crude analysis Adjusted for sex and age
Parameter estimate Standard error P value Parameter estimate Standard error P value
VAS (hand) PainVision 0.040 0.016 0.012 0.040 0.016 0.011
Sex (F vs M) −6.990 5.116 0.173
Age 0.184 0.230 0.426
VAS (foot) PainVision 0.067 0.019 0.001 0.067 0.019 0.001
Sex (F vs M) −0.104 5.412 0.985
Age 0.106 0.246 0.665
Disk-Criminator PainVision 0.002 0.001 0.145 0.002 0.001 0.146
Sex (F vs M) 0.043 0.208 0.837
Age 0.004 0.010 0.678
Monofilament PainVision 0.001 0.001 0.308 0.001 0.001 0.307
Sex (F vs M) −0.105 0.081 0.195
Age 0.016 0.004 <0.0001
NTX1 PainVision 0.001 0.001 0.164 0.001 0.001 0.153
Sex (F vs M) −0.363 0.200 0.070
Age 0.005 0.009 0.571
NTX2 PainVision 0.003 0.001 0.001 0.003 0.001 0.001
Sex (F vs M) −0.051 0.217 0.814
Age 0.007 0.010 0.490
NTX3 PainVision 0.001 0.001 0.095 0.001 0.001 0.096
Sex (F vs M) −0.181 0.199 0.365
Age 0.000 0.009 0.979
NTX4 PainVision 0.003 0.001 0.001 0.003 0.001 0.001
Sex (F vs M) 0.112 0.227 0.622
Age −0.002 0.010 0.853
NTX5 PainVision 0.000 0.001 0.478 0.000 0.001 0.494
Sex (F vs M) 0.175 0.179 0.329
Age 0.008 0.008 0.342
NTX6 PainVision 0.000 0.000 0.454 0.000 0.000 0.462
Sex (F vs M) −0.256 0.183 0.164
Age 0.015 0.008 0.065
NTX7 PainVision 0.000 0.000 0.552 0.000 0.000 0.566
Sex (F vs M) −0.291 0.176 0.099
Age 0.003 0.008 0.693
NTX8 PainVision 0.001 0.000 0.033 0.001 0.000 0.029
Sex (F vs M) −0.452 0.183 0.014
Age 0.006 0.008 0.427
NTX9 PainVision 0.000 0.000 0.543 0.000 0.000 0.508
Sex (F vs M) −0.299 0.135 0.027
Age 0.000 0.006 0.936
HI12 PainVision 0.000 0.001 0.525 0.000 0.001 0.531
Sex (F vs M) −0.052 0.187 0.782
Age −0.004 0.009 0.605
An6 PainVision 0.001 0.001 0.174 0.001 0.001 0.170
Sex (F vs M) −0.062 0.140 0.657
Age 0.012 0.006 0.063

F: Female; M: Male.

Table 4.

The associations between repeated measurements of the changes from the initial evaluations in VAS (hand), VAS (foot), Disk-Criminator, monofilament, and FACT/GOG-NTX, and those in PainVision.

Dependent variable Explanatory variable Crude analysis Adjusted by gender and age
Parameter estimate Standard error P value Parameter estimate Standard error P value
VAS (hand) PainVision 0.02948 0.01491 0.0487 0.03044 0.01489 0.0415
Sex (F vs M) −6.6445 3.0899 0.0321
Age −0.00703 0.1434 0.9609
VAS (foot) PainVision 0.0588 0.01824 0.0014 0.0609 0.0182 0.0009
Sex (F vs M) −6.6586 3.5669 0.0627
Age 0.1557 0.1663 0.3497
Disk-Criminator™ PainVision 0.00211 0.001292 0.1033 0.002116 0.001297 0.1035
Sex (F vs M) −0.09614 0.2522 0.7032
Age −0.00262 0.01176 0.8237
Monofilament PainVision 0.000714 0.000516 0.1669 0.00072 0.000517 0.1642
Sex (F vs M) −0.07772 0.1071 0.4684
Age −0.00091 0.00497 0.8546
NTX1 PainVision 0.000306 0.000627 0.6262 0.000323 0.000627 0.6072
Sex (F vs M) −0.2264 0.1401 0.107
Age −0.00236 0.006461 0.7148
NTX2 PainVision 0.002176 0.000673 0.0013 0.002212 0.000673 0.0011
Sex (F vs M) −0.219 0.1293 0.0911
Age 0.000478 0.006032 0.9369
NTX3 PainVision 0.000502 0.000609 0.411 0.00055 0.000608 0.3661
Sex (F vs M) −0.3028 0.1464 0.0392
Age 0.007758 0.006716 0.2487
NTX4 PainVision 0.001926 0.000705 0.0065 0.001996 0.000702 0.0047
Sex (F vs M) −0.3001 0.1448 0.0388
Age 0.009799 0.006714 0.1453
NTX5 PainVision −0.00009 0.000651 0.8918 −0.00003 0.00065 0.9624
Sex (F vs M) −0.1449 0.1296 0.2642
Age 0.009592 0.006028 0.1124
NTX6 PainVision −0.00093 0.000465 0.0463 −0.0009 0.000464 0.0532
Sex (F vs M) −0.04393 0.09463 0.6428
Age 0.008277 0.004393 0.0603
NTX7 PainVision −0.00092 0.000444 0.0385 −0.00089 0.000443 0.0442
Sex (F vs M) −0.09448 0.08852 0.2865
Age 0.006984 0.004116 0.0905
NTX8 PainVision 0.000825 0.00045 0.0676 0.000832 0.000451 0.0656
Sex (F vs M) −0.1084 0.09838 0.2711
Age −0.00151 0.004544 0.7398
NTX9 PainVision 0.000105 0.000431 0.8086 0.000132 0.000431 0.7601
Sex (F vs M) −0.1131 0.08172 0.1673
Age 0.002137 0.003816 0.5758
HI12 PainVision −0.00016 0.000706 0.82 −0.00017 0.000708 0.8137
Sex (F vs M) 0.06344 0.1599 0.6918
Age −0.00069 0.007369 0.9256
An6 PainVision 0.000112 0.000496 0.8214 0.000111 0.000498 0.824
Sex (F vs M) 0.07782 0.08808 0.3775
Age 0.001431 0.004133 0.7293

F: Female; M: Male.

Figure 5.

Figure 5

Correlation between Disk-Criminator and PainVision scores, with VAS (hand) or NTX1 scores.

Figure 6.

Figure 6

Correlation between monofilament and PainVision scores, with VAS (hand) or NTX1 scores.

Discussion

VAS is one of the most common methods used to assess pain24. VAS is a method of grading pain currently experienced by patients compared with the worst imaginable pain25. Because of its ease of use, VAS has become a popular tool to quantify pain relief and pain intensity. VAS is an effective and reliable means to assess pain, depression, anxiety, and mood24. VAS tends to focus only on pain intensity, with an increased risk of over-simplification of the experience26.

Wang et al. showed a difference between the electrophysiological findings and the subjective signs reported by CIPN patients27. They also state that the severity of clinical sensory neuropathy does not always correlate with nerve conduction test findings. Conversely, Argyriou et al. reported that the nerve conduction test is useful for objectively evaluating the extent of CIPN, enabling the identification of asymptomatic peripheral neuropathy before onset28. In our study, VAS (hand), VAS (foot), NTX 2, NTX 4 and NTX 8 significantly correlated with PV in the analyses using a regression model with random effects of individual IDs adjusted by sex and age. Sex differences in the experience of clinically and experimentally induced pain are widely reported29, pain sensitivity is also thought to decrease with increasing age. However, as shown in Fig. 3, if intraindividual variability is not considered, the correlation coefficient between PV and VAS decreases. The Disk-Criminator and monofilament results did not associate with PV results. This discrepancy is because PV and VAS were used to assess pain, whereas the Disk-Criminator was used to measure spatial acuity in tactile sensations and monofilament was used to measure tactile sensitivity. Prior research has shown that numbness and tingling symptoms are correlated, but they are not necessarily correlated with pain30.

Several studies have analyzed the sensitivity to change over time in each of the proposed CIPN measures, in an attempt to test sensitivity to change over time3134. Table 4 shows the association between repeated measures of changes from the initial evaluations of VAS (hand), VAS (foot), Disk-Criminator, monofilament, and FACT/GOG-NTX, and those in PV. This result suggested that VAS is the most representative measure of changes in neuropathy over time. In Table 3, there was a significant difference in NTX8, but as shown in Table 4, the significant difference disappeared. NTX8 indicates a response of “I have trouble buttoning buttons,” and we posit that the patient was able to learn the movement with time.

PV is used for the quantification of the intensity of pain. In clinical practice, this method is used not only for chronic pain such as fibromyalgia35 and lower back pain due to spondylolisthesis36 but also for acute pain caused by the removal of wound dressings37. Previous studies have shown that PV is a useful device that can quantitatively evaluate pain in various fields3840. Patient-reported outcomes of CIPN related symptoms should always be included in clinical trials41. Measures of clinician-rated neuropathy signs and function measures are also encouraged. Although an evaluation method that can quantify CIPN enables interindividual and intraindividual comparison, Sato et al. reported that there was no significant difference between PV and CTCAE grades in the evaluation of CIPN42. If the severity of CIPN and PV do not correlate, PV cannot be used to evaluate clinical trials aimed at improving CIPN. Although PV significantly correlated with VAS (hand), VAS (foot), NTX2 and NTX4 (Table 3), it does not appear in Fig. 3 to be correlated. Therefore, it is necessary to make improvements that are also correlated visually. Because PV was developed for pain assessment, the following four conditions are considered as speculations to improve the evaluation of CIPN: (1) Measurement by simultaneous stimulation of multiple parts; (2) Machine body and software corresponding to increase and decrease of stimulus in one measurement; (3) the optimal stimulation wave; (4) the ease of input for stimulus detection. Clinical trials for the prevention and treatment of CIPN require the identification of optimal outcome measures to define the CIPN phenotype and the setting of parameters that lead to the evaluation of clinically relevant effects43. If these four conditions are satisfied, the correlation coefficient seems to rise further.

This study has a limitation. We should have reported the change in each CIPN measure vs. time and the associated factors. Recently, oxaliplatin has been stopped before CIPN has developed with the spread of the Stop & Go strategy44, and oxaliplatin has been reduced or suspended immediately after CIPN has developed. In addition, there are individual differences in the timing of CIPN. By these two points, we could not report change in each CIPN measure vs. time and the associated factors. The associations between the repeated measures of changes from the initial evaluations were investigated as an alternative (Table 4). To the best of our knowledge, there has been no previous study regarding the correlation between PV and other assessment in CIPN patients. We believe that the effect of the drug for CIPN should be evaluated quantitatively. Further research and effort are needed to improve the evaluation of CIPN by PV.

Conclusions

Evaluation of CIPN is complex because numerous factors are involved. To apply quantitative evaluation methods to CIPN clinical trials, PV requires various improvements.

Methods

Study design

This study was approved by the Institutional Review Board of Fukuoka University Hospital (No. 13-4-7) and was performed between April 2014 and December 2015. Seventy-three patients with histologically confirmed metastatic colorectal adenocarcinoma, and treated with oxaliplatin as the first line of chemotherapy, were enrolled in the study. Patients exhibiting mental health issues that rendered the concepts of PV impossible to understand were excluded from this study. Patients who had peripheral neuropathy or musculoskeletal pain that could interfere with the measurement of quantitative pain before chemotherapy were also excluded. Informed consent was obtained from all patients before participation in this study. All methods were implemented according to the Declaration of Helsinki. This study included a different patient cohort than our previously reported studies19,20,23.

CIPN was defined using the National Cancer Institute Common Terminology for Adverse Events45. The measurement started from the second cycle and was performed before administration. Measurements are recorded continuously every 3 weeks in line with chemotherapy but are halted when chemotherapy is postponed because of adverse events. During treatment with oxaliplatin, measurements were recorded until the patient refused further measurement, and all measurements were analysed.

VAS and the functional assessment of cancer therapy/Gynecologic Oncology Group - Neurotoxicity (Fact/GOG-NTX)

VAS is a commonly used method for assessing the fluctuation of pain intensity. Patients are instructed to indicate the perceived pain intensity by marking on a 100-mm horizontal line labelled “0 (no pain)” at the left end and “100 (worst imaginable pain)” on the right end (Fig. 7A). VAS was used to assess chronic CIPN subjectively before each cycle of chemotherapy. The patient was instructed to consider only neuropathic pain present on the day of the measurement.

Figure 7.

Figure 7

Subjective and objective evaluation methods used in this study. (A) VAS, (B) FACT/GOG-NTX, (C) Disk-Criminator, (D) Monofilament.

The FACT/GOG-NTX is an 11-item subscale for evaluating symptoms associated with chemotherapy-induced neuropathy (Fig. 7B). We examined the correlation between these 11 items and PV.

PainVision PS-2100

PV was developed as a medical device that evaluates the strength of pain using a numerical value46. The measurement principle of the system is to compare a unique electrical stimulation with the pain experienced by the patient19,37. A painless electrical stimulation whose intensity is equivalent to the intensity of the pain experienced by the patient is applied, and the current value of this electrical stimulation is defined as “pain-compatible electrical current.” The patient’s threshold for the electrical stimulation is defined as the “current perception threshold” which is intended to eliminate inter-individual variability. With these two values, pain intensity is defined by the following equation:

Painintensity=(paincompatibleelectricalcurrentcurrentperceptionthreshold)/currentperceptionthreshold×100.

An electrode is mounted on the inside surface of the forearm. An electrical current is made to flow (50 Hz; 0–150 µA RMS; pulse width: 0.3 ms), and the stimulation is strengthened19,22. The patient is instructed to press a button the first time she/he perceives this stimulus; the current at this point is defined as the “minimum perceived current” value. As the stimulation current is increased, the patient is instructed to press the switch when they feel that the intensity of the stimulation current is equivalent to the intensity of the pain they are experiencing. The current is defined at this point as the “pain-equivalent current” value. Using the obtained values, “pain intensity” is calculated using the above formula. In the absence of pain, the value is 0 and increases according to the degree of pain. There is no upper limit. Each measurement is easily completed in a few minutes. PV was used to assess symptoms related to chronic CIPN subjectively before each cycle of chemotherapy.

The Disk-Criminator test

The Disk-Criminator is a two-point discrimination (TPD) measuring device47 (Fig. 7C). The TPD method is a method that is completed in a shorter time than the nerve conduction test, is less painful, practical, cost-effective, and more easily applicable48. The method was performed as previously reported49. The Disk-Criminator has nine levels of discrimination, the first being 0 mm, or 1 point, whereas the rest were 2 points, with distances between the 2 points of 1 mm to 9 mm. For 2-point discrimination testing, patients were asked to respond with the number (1 or 2) they felt most accurately indicated the stimulus. The patient was blinded, and the hand immobilized. The tester applied just enough pressure to depress the ventral side of index finger directly below the instrument, and the points contacted the skin simultaneously. The placement of 1 or 2 points was randomly mixed. Each subject was assessed three times on each of the nine distances on the Disk-Criminator. The number of correct responses was the 2-point discrimination score. Measurements were taken directly before each treatment cycle.

The monofilament test

The monofilament test is an easy-to-use, inexpensive, and portable test for evaluating the loss of protective sensation and is recommended by several practical guidelines to detect peripheral neuropathy50,51. The test was performed using a Semmes-Weinstein aesthesiometer (Research Design, Inc., Houston, TX, USA) (Fig. 7D). The filament contacts the ventral side of the patient’s index finger. With a loss of sensation, the patient cannot detect the presence of the filament. The higher the value of the monofilament, the stiffer and harder it is to bend. Four monofilaments used to diagnose peripheral neuropathy are the 2.83/0.07 g (Green), 3.61/0.4 g (Blue), 4.31/2.0 g (Purple) and 4.56/4.0 g (Red). The monofilaments were applied slowly and precisely to the skin of the finger in the same fashion for the same amount of time for each test. It was pressed to produce a slight bend. Every trial involved touching the patient and then recording whether the patient reported, “Yes, I was touched” or “No, I was not touched.” Each subject was assessed three times with each of the monofilaments. The smallest monofilament color that the patient could feel was entered. Measurements were taken directly before each treatment cycle.

Statistical analyses

Data were analysed using SAS Version 9.4 (SAS Institute, Cary, North Carolina, USA). To investigate the reliability of the device, the quantified pain degree score was evaluated twice. Each measurement was performed twice, and the average value was used. Data are presented as the mean ± standard deviation (SD), median (interquartile range 25–75%), or the number of participants (percentages). The associations of VAS (hand), VAS (foot), Disk-Criminator, monofilament, and FACT/GOG-NTX with PV were assessed using hierarchical mixed models including random individual effects with or without fixed effects of age and sex. The associations between the repeated measures of changes from the initial evaluations in VAS (hand), VAS (foot), Disk-Criminator, monofilament, and FACT/GOG-NTX, and those in PV were evaluated using a hierarchical mixed model. P values less than 0.05 were considered statistically significant.

Acknowledgements

We thank the participating patients, their family members, and all researchers involved in this study. We thank Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.

Author contributions

Y.Y. conceived of the study and drafted the manuscript. R.K., T.M., Y.M., H.N., R.S., A.K. and M.M. helped collect data. T.K., T.Y., N.A. and T.M. evaluated pain intensities. A.S. and H.A. performed the statistical analysis. S.H. helped to revise the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Lehky T, Leonard G, Wilson R, Grem J, Floeter M. Oxaliplatin‐induced neurotoxicity: Acute hyperexcitability and chronic neuropathy. Muscle & nerve. 2004;29:387–392. doi: 10.1002/mus.10559. [DOI] [PubMed] [Google Scholar]
  • 2.Cersosimo RJ. Oxaliplatin-associated neuropathy: a review. Annals of Pharmacotherapy. 2005;39:128–135. doi: 10.1345/aph.1E319. [DOI] [PubMed] [Google Scholar]
  • 3.Gamelin L, et al. Oxaliplatin-related neurotoxicity: interest of calcium-magnesium infusion and no impact on its efficacy. Journal of Clinical Oncology. 2008;26:1188–1189. doi: 10.1200/JCO.2007.15.3767. [DOI] [PubMed] [Google Scholar]
  • 4.Paice JA. Clinical challenges: chemotherapy-induced peripheral neuropathy. Seminars in oncology nursing. 2009;25:S8–19. doi: 10.1016/j.soncn.2009.03.013. [DOI] [PubMed] [Google Scholar]
  • 5.Wolf SL, et al. The relationship between numbness, tingling, and shooting/burning pain in patients with chemotherapy-induced peripheral neuropathy (CIPN) as measured by the EORTC QLQ-CIPN20 instrument, N06CA. Supportive care in cancer: official journal of the Multinational Association of Supportive Care in Cancer. 2012;20:625–632. doi: 10.1007/s00520-011-1141-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Staff NP, Grisold A, Grisold W, Windebank AJ. Chemotherapy-induced peripheral neuropathy: A current review. Annals of neurology. 2017;81:772–781. doi: 10.1002/ana.24951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Flatters S, Dougherty PM, Colvin L. Clinical and preclinical perspectives on chemotherapy-induced peripheral neuropathy (CIPN): a narrative review. BJA: British Journal of Anaesthesia. 2017;119:737–749. doi: 10.1093/bja/aex229. [DOI] [PubMed] [Google Scholar]
  • 8.Løseth S, Stålberg E, Jorde R, Mellgren SI. Early diabetic neuropathy: thermal thresholds and intraepidermal nerve fibre density in patients with normal nerve conduction studies. Journal of neurology. 2008;255:1197–1202. doi: 10.1007/s00415-008-0872-0. [DOI] [PubMed] [Google Scholar]
  • 9.Oh SJ. Clinical electromyography nerve conduction studies, 3rd edn. European Journal of Neurology. 2003;10:605–605. doi: 10.1046/j.1468-1331.2003.00654.x. [DOI] [Google Scholar]
  • 10.Kohara N, et al. F-wave latency serves as the most reproducible measure in nerve conduction studies of diabetic polyneuropathy: multicentre analysis in healthy subjects and patients with diabetic polyneuropathy. Diabetologia. 2000;43:915–921. doi: 10.1007/s001250051469. [DOI] [PubMed] [Google Scholar]
  • 11.Hershman DL, et al. Prevention and management of chemotherapy-induced peripheral neuropathy in survivors of adult cancers: American Society of Clinical Oncology clinical practice guideline. Journal of Clinical Oncology. 2014;32:1941–1967. doi: 10.1200/JCO.2013.54.0914. [DOI] [PubMed] [Google Scholar]
  • 12.Paul-Dauphin A, Guillemin F, Virion J-M, Briançon S. Bias and precision in visual analogue scales: a randomized controlled trial. American journal of epidemiology. 1999;150:1117–1127. doi: 10.1093/oxfordjournals.aje.a009937. [DOI] [PubMed] [Google Scholar]
  • 13.Daousi C, et al. Chronic painful peripheral neuropathy in an urban community: a controlled comparison of people with and without diabetes. Diabetic Medicine. 2004;21:976–982. doi: 10.1111/j.1464-5491.2004.01271.x. [DOI] [PubMed] [Google Scholar]
  • 14.Bril V, et al. Evidence-based guideline: treatment of painful diabetic neuropathy: report of the American Academy of Neurology, the American Association of Neuromuscular and Electrodiagnostic Medicine, and the American Academy of Physical Medicine and Rehabilitation. PM&R. 2011;3:345–352. e321. doi: 10.1016/j.pmrj.2011.03.008. [DOI] [PubMed] [Google Scholar]
  • 15.Liu YC, Wang WS. Human mu‐opioid receptor gene A118G polymorphism predicts the efficacy of tramadol/acetaminophen combination tablets (ultracet) in oxaliplatin‐induced painful neuropathy. Cancer. 2012;118:1718–1725. doi: 10.1002/cncr.26430. [DOI] [PubMed] [Google Scholar]
  • 16.Yang Y-H, et al. Duloxetine improves oxaliplatin-induced neuropathy in patients with colorectal cancer: an open-label pilot study. Supportive Care in Cancer. 2012;20:1491–1497. doi: 10.1007/s00520-011-1237-2. [DOI] [PubMed] [Google Scholar]
  • 17.Cavaletti G, et al. The chemotherapy-induced peripheral neuropathy outcome measures standardization study: from consensus to the first validity and reliability findings. Annals of oncology: official journal of the European Society for Medical Oncology. 2013;24:454–462. doi: 10.1093/annonc/mds329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.DeLoach LJ, Higgins MS, Caplan AB, Stiff JL. The visual analog scale in the immediate postoperative period: intrasubject variability and correlation with a numeric scale. Anesthesia and analgesia. 1998;86:102–106. doi: 10.1097/00000539-199801000-00020. [DOI] [PubMed] [Google Scholar]
  • 19.Yoshida Y, et al. Subjective and objective assessment of oxaliplatin-induced peripheral neuropathy. SpringerPlus. 2015;4:822. doi: 10.1186/s40064-015-1646-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yoshida Y, et al. Objective evaluation of oxaliplatin-induced vascular pain secondary to peripheral vein administration. SpringerPlus. 2016;5:1872. doi: 10.1186/s40064-016-3579-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ohtori S, et al. PainVision Apparatus Is Effective for Assessing Low Back. Pain. Asian spine journal. 2014;8:793–798. doi: 10.4184/asj.2014.8.6.793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hiraki M, et al. Evaluation of invasiveness in single-site laparoscopic colectomy, using “the PainVision system” for quantitative analysis of pain sensation. Surgical endoscopy. 2014;28:3216–3223. doi: 10.1007/s00464-014-3594-7. [DOI] [PubMed] [Google Scholar]
  • 23.Matsuoka T, et al. Evaluation of vascular pain in patients with colorectal cancer receiving peripheral venous chemotherapy with or without oxaliplatin. Scientific reports. 2019;9:1819. doi: 10.1038/s41598-018-37966-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.McCormack HM, Horne DJ, Sheather S. Clinical applications of visual analogue scales: a critical review. Psychological medicine. 1988;18:1007–1019. doi: 10.1017/S0033291700009934. [DOI] [PubMed] [Google Scholar]
  • 25.Babul N, Darke AC, Johnson DH, Charron-Vincent K. Using memory for pain in analgesic research. The Annals of pharmacotherapy. 1993;27:9–12. doi: 10.1177/106002809302700101. [DOI] [PubMed] [Google Scholar]
  • 26.Bonica, J. J., Loeser, J. D., Chapman, C. R., Fordyce, W. E. & Domenowske, M. The management of pain. Vol. 1 (Lea & Febiger Philadelphia, 1990).
  • 27.Wang WS, et al. Oral glutamine is effective for preventing oxaliplatin-induced neuropathy in colorectal cancer patients. The oncologist. 2007;12:312–319. doi: 10.1634/theoncologist.12-3-312. [DOI] [PubMed] [Google Scholar]
  • 28.Chaudhry V, Rowinsky EK, Sartorius SE, Donehower RC, Cornblath DR. Peripheral neuropathy from taxol and cisplatin combination chemotherapy: clinical and electrophysiological studies. Annals of neurology. 1994;35:304–311. doi: 10.1002/ana.410350310. [DOI] [PubMed] [Google Scholar]
  • 29.Fillingim RB. Sex, gender, and pain: women and men really are different. Current review of pain. 2000;4:24–30. doi: 10.1007/s11916-000-0006-6. [DOI] [PubMed] [Google Scholar]
  • 30.Wolf SL, et al. The relationship between numbness, tingling, and shooting/burning pain in patients with chemotherapy-induced peripheral neuropathy (CIPN) as measured by the EORTC QLQ-CIPN20 instrument, N06CA. Supportive Care in Cancer. 2012;20:625–632. doi: 10.1007/s00520-011-1141-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Haryani H, Fetzer SJ, Wu CL, Hsu YY. Chemotherapy-Induced Peripheral Neuropathy Assessment Tools: A Systematic Review. Oncology nursing forum. 2017;44:E111–e123. doi: 10.1188/17.Onf.E111-e123. [DOI] [PubMed] [Google Scholar]
  • 32.Almadrones L, McGuire DB, Walczak JR, Florio CM, Tian C. Psychometric evaluation of two scales assessing functional status and peripheral neuropathy associated with chemotherapy for ovarian cancer: a gynecologic oncology group study. Oncology nursing forum. 2004;31:615–623. doi: 10.1188/04.Onf.615-623. [DOI] [PubMed] [Google Scholar]
  • 33.Cavaletti G, et al. The Total Neuropathy Score as an assessment tool for grading the course of chemotherapy-induced peripheral neurotoxicity: comparison with the National Cancer Institute-Common Toxicity Scale. Journal of the peripheral nervous system: JPNS. 2007;12:210–215. doi: 10.1111/j.1529-8027.2007.00141.x. [DOI] [PubMed] [Google Scholar]
  • 34.Cella D, Peterman A, Hudgens S, Webster K, Socinski MA. Measuring the side effects of taxane therapy in oncology: the functional assesment of cancer therapy-taxane (FACT-taxane) Cancer. 2003;98:822–831. doi: 10.1002/cncr.11578. [DOI] [PubMed] [Google Scholar]
  • 35.Osada K, et al. Development of the Japanese version of the Fibromyalgia Impact Questionnaire (JFIQ): psychometric assessments of reliability and validity. International journal of rheumatic diseases. 2011;14:74–80. doi: 10.1111/j.1756-185X.2010.01585.x. [DOI] [PubMed] [Google Scholar]
  • 36.Lee HJ, et al. Acupuncture for low back pain due to spondylolisthesis: study protocol for a randomized controlled pilot trial. Trials. 2014;15:105. doi: 10.1186/1745-6215-15-105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Matsumura H, Imai R, Gondo M, Watanabe K. Evaluation of pain intensity measurement during the removal of wound dressing material using ‘the PainVision system’ for quantitative analysis of perception and pain sensation in healthy subjects. International wound journal. 2012;9:451–455. doi: 10.1111/j.1742-481X.2011.00911.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Baden M, et al. Evaluation of diabetic polyneuropathy by Pain Vision PS-2100, the device for quantitative analysis of perception and pain. Journal of the Japan Diabetes Society. 2011;54:493–498. [Google Scholar]
  • 39.Mayumi O, Fujiko E, Masafumi T. Usefulness of the Pain Vision®PS-2100, a Device for the Quantitative Analysis of Perception and Pain Sensation, for Evaluating Early Stage Diabetic Polyneuropathy. Journal of the Japan Diabetes Society. 2013;56:343–349. [Google Scholar]
  • 40.Shinichiro S, Sachiko K, Hiroko K, Atsushi W, Hideaki S. Evaluation of Sex and Age Differences in the Perception Threshold of Body Surface against Electrical Stimulation-Measurement of Perception Threshold to Determine the Possibility of Diabetic Neuropathy Diagnoses- Japanese Society for Medical and Biological Engineering. 2011;49:163–169. doi: 10.11239/jsmbe.49.163. [DOI] [Google Scholar]
  • 41.Gewandter JS, et al. Trial designs for chemotherapy-induced peripheral neuropathy prevention: ACTTION recommendations. Neurology. 2018;91:403–413. doi: 10.1212/wnl.0000000000006083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Sato J, et al. Objective evaluation of chemotherapy-induced peripheral neuropathy using quantitative pain measurement system (Pain Vision((R))), a pilot study. Journal of pharmaceutical health care and sciences. 2017;3:21. doi: 10.1186/s40780-017-0089-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Dorsey Susan G, Kleckner Ian R, Barton Debra, Mustian Karen, O’Mara Ann, St. Germain Diane, Cavaletti Guido, Danhauer Suzanne C, Hershman Dawn L, Hohmann Andrea G, Hoke Ahmet, Hopkins Judith O, Kelly Katherine P, Loprinzi Charles L, McLeod Howard L, Mohile Supriya, Paice Judith, Rowland Julia H, Salvemini Daniela, Segal Rosalind A, Smith Ellen Lavoie, Stevens Worta McCaskill, Janelsins Michelle C. The National Cancer Institute Clinical Trials Planning Meeting for Prevention and Treatment of Chemotherapy-Induced Peripheral Neuropathy. JNCI: Journal of the National Cancer Institute. 2019;111(6):531–537. doi: 10.1093/jnci/djz011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Tournigand C, et al. OPTIMOX1: a randomized study of FOLFOX4 or FOLFOX7 with oxaliplatin in a stop-and-go fashion in advanced colorectal cancer—a GERCOR study. Journal of clinical oncology. 2006;24:394–400. doi: 10.1200/JCO.2005.03.0106. [DOI] [PubMed] [Google Scholar]
  • 45.Le-Rademacher J, et al. Patient-reported (EORTC QLQ-CIPN20) versus physician-reported (CTCAE) quantification of oxaliplatin-and paclitaxel/carboplatin-induced peripheral neuropathy in NCCTG/Alliance clinical trials. Supportive Care in Cancer. 2017;25:3537–3544. doi: 10.1007/s00520-017-3780-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ikeno S, Kawamata M. PainVision. Masui. The Japanese journal of anesthesiology. 2009;58:1367–1372. [PubMed] [Google Scholar]
  • 47.Dellon AL, Mackinnon SE, Crosby PM. Reliability of two-point discrimination measurements. The Journal of hand surgery. 1987;12:693–696. doi: 10.1016/S0363-5023(87)80049-7. [DOI] [PubMed] [Google Scholar]
  • 48.Eryilmaz M, Kocer A, Kocaman G, Dikici S. Two-point discrimination in diabetic patients. Journal of diabetes. 2013;5:442–448. doi: 10.1111/1753-0407.12055. [DOI] [PubMed] [Google Scholar]
  • 49.Rubley MD, Denegar CR, Buckley WE, Newell KM. Cryotherapy, Sensation, and Isometric-Force Variability. Journal of athletic training. 2003;38:113–119. [PMC free article] [PubMed] [Google Scholar]
  • 50.Standards of medical care in diabetes–2008. Diabetes care31(Suppl 1), S12–54, 10.2337/dc08-S012 (2008). [DOI] [PubMed]
  • 51.Home P, Mant J, Diaz J, Turner C. Guidelines: management of type 2 diabetes: summary of updated NICE guidance. BMJ: British Medical Journal. 2008;336:1306. doi: 10.1136/bmj.39560.442095.AD. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES