Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2024 Feb 26;14:4643. doi: 10.1038/s41598-024-54452-8

Typical CIDP, distal variant CIDP, and anti-MAG antibody neuropathy: An ultra-high frequency ultrasound comparison of nerve structure

Angela Puma 1,2,, Nicolae Grecu 3, Raluca Ș Badea 3,4, Adeline Morisot 5, Roxana Zugravu 1,3, Mihai B Ioncea 1,3, Michele Cavalli 1, Oana Lăcătuș 1,3, Andra Ezaru 1,6, Chorfa Hacina 1, Luisa Villa 1, Charles Raffaelli 7, Nicolas Azulay 7, Sabrina Sacconi 1
PMCID: PMC10897478  PMID: 38409319

Abstract

To date, little is known about the usefulness of ultra-high frequency ultrasound (UHF-US, 50–70 MHz) in clinical practice for the diagnosis of dysimmune neuropathies. We present a prospective study aimed at comparing UHF-US alterations of nerves and fascicles in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), distal CIDP (d-CIDP) and anti-MAG neuropathy and their relationships with clinical and electrodiagnostic (EDX) features. 28 patients were included (twelve CIDP, 6 d-CIDP and 10 anti-MAG) and ten healthy controls. Each patient underwent neurological examination, EDX and UHF-US study of median and ulnar nerves bilaterally. UHF-US was reliable in differentiating immune neuropathies from controls when using mean and/or segmental nerve and/or fascicle cross-sectional area (CSA); furthermore, fascicle ratio (fascicle/nerve CSA) was a reliable factor for differentiating d-CIDP from other types of polyneuropathies. The fascicle CSA appears to be more increased in CIDP and its variant than in anti-MAG neuropathy. UHF-US offers information beyond simple nerve CSA and allows for a better characterization of the different forms of dysimmune neuropathies.

Subject terms: Biomarkers, Diseases, Medical research, Neurology, Signs and symptoms


Chronic inflammatory demyelinating polyneuropathy (CIDP) is an immune-mediated polyneuropathy with a progressive course over at least 2 months. The diagnosis of CIDP is based on clinical signs and symptoms, demyelination electrophysiologic (EDX) criteria and paraclinical tests. Recently, the EAN/PNS have revised the classification of CIDP into “typical CIDP” and its variants (distal, multifocal, focal, motor and sensory CIDP)1. Distal CIDP (d-CIDP) is considered a variant of CIDP only when it is not associated with the presence of IgM dysglobulinemia with anti-myelin-associated glycoprotein (anti-MAG) activity2. Nerve ultrasound (US) changes in immune-mediated neuropathies have become one of the supporting criteria for the diagnosis of CIDP1. The most common finding is the enlargement of cross-sectional area (CSA) of nerves and roots3. Concerning anti-MAG neuropathy, US features have not been well defined, with some authors describing a swelling of the nerve in its most distal portion4, while others reporting more widespread changes5 or enlargement at entrapment sites.6 Although nerve size is the main parameter described in most studies, more attention is increasingly paid to the internal structure of the nerve. Some data are available for fascicle CSA (f-CSA) in CIDP7 but, to our knowledge, little is known about changes occurring at the level of the fascicle in d-CIDP and anti-MAG neuropathy. Our previous work has shown that Ultra High Frequency-US (UHF-US, 50 MHz) allows for better evaluation of the size and number of fascicles than classical probes, providing more detailed information on alterations of the internal nerve structure in patients with CIDP8. Based on this preliminary knowledge, we used an ultra-high frequency probe in order to distinguish between different dysimmune neuropathies. To this end, we analysed the nerve and fascicle CSA in patients with CIDP, d-CIDP and anti-MAG neuropathy.

Methods

Patients

Twenty-eight consecutive patients (20 men, 8 women) followed at the Neuromuscular Disease Center of Nice University for immune-mediated neuropathies and 10 healthy controls (3 men, 7 women) were enrolled between May 2018 and September 2019. The study was registered in the French clinical trial registry (IDRCB: 2016-A01603-48) and approved by the local ethics committee (Comité de Protection des Personnes Sud Méditerranée V). All methods were performed in accordance with the relevant guidelines and regulations. Written informed consent for participation was obtained from all patients. Patients with typical CIDP and d-CIDP had clinical features and EDX changes complying with the criteria proposed by the EFNS/PNS from 20109. All patients with anti-MAG neuropathy had a monoclonal IgM gammopathy (monoclonal gammopathy of clinical significance, Waldenström's macroglobulinemia) with a peak of monoclonal proteins in the serum < 11 gr/dl. Anti-MAG antibody titers were assessed by an enzyme-linked immunosorbent assay (ELISA) and serum antibody activity was expressed as Bühlmann Titer Unit. All patients were treatment-naive. All patients underwent neurological evaluation and clinical severity was quantified with the Inflammatory Neuropathy Cause and Treatment Group (INCAT) disability scale, the Overall Neuropathy Limitations Scale (ONLS), and the Medical Research Council (MRC) sum score. Clinical evaluation, including INCAT, ONLS and MRC scores, were performed by the treating neurologists.

Electrodiagnostic studies

EDX evaluation (Dantec Keypoint, Natus Medical Incorporated, Orlando, USA) was performed on all subjects between 1 and 2 months prior to the US. Four motor (tibial, peroneal, median, ulnar) and four sensory (superficial peroneal, sural, median, ulnar) nerves were examined bilaterally. The normative reference values used in our laboratory are summarized in Table 1. For each patient we ensured that skin temperature was at least 32 °C. An EDX score was created taking into consideration several criteria: for distal motor latency (DML) prolongation a score of 1 was assigned for a prolongation of 30–50%, 2 for a prolongation of 50–70%, and 3 for ≥ 70% of the upper limit of normal (ULN); for motor conduction velocity (MCV) reduction a score of 1 was given for a reduction of = 30%, 2 for a reduction between 30 and 50%, and 3 for a reduction of > 50% of the lower limit of normal (LLN); for compound motor action potential (CMAP) amplitude decrease a score of 1 was given for a reduction of ≤ 50%, a score of 2 for a reduction between 50 and 70%, a score of 3 for a reduction of ≥ 70%, and a score of 4 if CMAP was unobtainable; for conduction block (defined as ≥ 50% reduction of proximal relative to distal negative peak CMAP amplitude, excluding the tibial nerve and Erb’s point stimulation) a score of 1 was assigned; if EDX studies were considered normal a score of 0 was assigned (Table 1).

Table 1.

EDX score.

Score 1 Score 2 Score 3 Score 4 Normal values*
DML (ms) 30–50 50–70  ≥ 70% NA MN ≤ 4
UN ≤ 3,5
TN et PN ≤ 5,5
MCV (m/s) 30 30–50  ≥ 50% NA UL > 45
LL > 40
cMAP (mV)  ≤ 50 50–70  ≥ 70% NR MN > 6
UN > 7
TN > 5
PN > 3
CB  ≥ 50% NA NA NA NA

MN median nerve, UN ulnar nerve, TN tibial nerve, PN peroneal nerve, UL upper limbs, LL lower limbs, DML distal motor latency, MCV motor conduction velocity, cMAP compound motor action potential, CB conduction block, ms milliseconds, m/s meter/second, mV millivolts, NA not applicable, NR no response

*values used in our laboratory.

Ultrasound assessment

Ultrasound evaluations of the peripheral nerves were performed with two very high-resolution probes (UHF48 and UHF70 MHz, Vevo, VD, Visualtronics, Toronto, Canada). The highest frequency probe, UHF70, was used with the “General” preset, with a 29–71 MHz frequency band. When using UHF70 exploration depth was limited to 7.5 mm. The second probe, UHF48, was used with the “General” preset, with a 20–48 MHz frequency band. When using UHF48 exploration depth was limited to 14.5 mm. We used the UHF70 whenever the depth of the explored nerve was below 7.5 mm, usually at the wrist and elbow, The median nerve (MN) and ulnar nerve (UN) were examined from the wrist to the middle-arm. The probe was adjusted to be perpendicular to the nerves, no pressure was applied, and a neutral position was adopted for each limb except for the examination of the ulnar nerve at the elbow, which was performed with the elbow flexed at 90°. Ultrasound examination of the nerve was performed bilaterally. The CSA for the MN was measured at the wrist, 10 cm from the distal wrist crease, at the antecubital fossa and mid-arm (Fig. 1). The CSA for the UN was measured at the wrist, 10 cm from the pisiform bone, at the elbow, 5 cm below and above the elbow and at mid-arm (Fig. 1). Assessment of nerve CSA (n-CSA) was performed on cross-sectional images using the manual tracking method by placing the cursor within the hyperechoic edge of the nerves. The depth function was not standardized but adjusted individually depending on the anatomy of the nerve at the examination site and the characteristics of the patient (amount of subcutaneous tissue) to allow visualization of the nerve in its entirety on cross-sections. The zoom function was not used. Fascicle identification and f-CSA measurement were performed on the same cross-sectional images used for n-CSA measurement. Fascicles were defined as hypoechoic areas surrounded by hyperechoic borders within the nerve and the CSA measurement was performed with the cursor placed within this hyperechoic margin8.

Figure 1.

Figure 1

Median and Ulnar nerve in CIDP (A), in anti-MAG neuropathy (B), d-CIDP (C) and in healthy subject (D). In CIDP (A) thinning of perifascicular epineurium due to compression/dislocation from swollen fascicles. Reduced number of fascicles and swollen fascicles compared to healthy controls especially in more proximal nerve sites due to endoneuronal oedema. Focal/diffuse hypoechogenicity. In Anti-MAG neuropathy (B), reduced number of swollen fascicles with normal or slightly reduced perifascicular epineurium. Same or slightly reduced number of fascicles compared to healthy controls. Normal or slightly reduced echogenicity. In d-CIDP (C), normal number of swollen fascicles with normal or slightly reduced perifascicular epineurium. Normal or focal/diffuse hypoechogenicity.

For each nerve, the largest f-CSA was measured and considered for statistical analysis. CSA reference values were obtained from the 10 healthy controls. Nerve and fascicle CSA were considered to be abnormal if 2 standard deviations (SD) greater than the upper limit. The fascicular ratio (FR) was calculated as f-CSA/n-CSA10.

To accommodate the potential variability in CSA distributions across different nerve segments and to enhance the diagnostic sensitivity of UHF-US in differentiating between dysimmune neuropathies, we also analyzed the largest nerve and fascicles CSA of the ulnar and median nerve for each pathology.

Statistical analysis

Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 26.0 (Armonk, NY: IBM Corp). Continuous variables with normal distribution are presented as mean ± standard deviation, while those with non-normal distribution are presented as median (interquartile range). Categorical variables are reported as the rate (percentage). For determining if there were differences between the four groups (controls, CIDP, d-CIDP, anti-MAG) concerning continuous data, one-way ANOVA tests and Kruskal–Wallis One-Way ANOVA on Ranks were conducted. Outliers were kept in the analysis, as they depicted true clinical scenarios. For determining the normality of data for each of the studied group, the Shapiro–Wilk test was performed. The homogeneity of variances was assessed by Levene’s test of homogeneity of variances. For data for which the homogeneity of variances was violated, Welch ANOVA was used; in this case, post-hoc analysis was interpreted using the results of the Games-Howell post-hoc test. In cases in which the homogeneity of variances was met, post-hoc analysis was interpreted using the Tukey–Kramer post hoc test. When Kruskal–Wallis test was performed, post-hoc analysis was made using Dunn’s (1964) procedure with a Bonferroni correction for multiple comparisons. For assessing the relationships between variables, Pearson correlation test was performed. In case of non-linearity, Spearman’s rank-order correlation test was run.

Results

Thirty-eight participants were included in the current study: 12 with typical CIDP, 6 with distal variant CIDP (d-CIDP), and 10 with demyelinating neuropathy associated with anti-MAG antibodies (anti-MAG). Ten healthy controls were also included. Fifteen of those participating in the study (39.5%) were female, and 23 (60.5%) were male; there were more females in the control group than in the study group (70% vs. 28.6%).

Mean age of patients was 62.79 years (± 12.83), the youngest group consisting of d-CIDP patients (mean age 50 ± 12.72 years), followed by CIDP (mean age 62.3 ± 12.4 years), and anti-MAG patients (mean age 68 ± 7.51 years) (Table 1).

The duration between the onset of neurological symptoms and first medical evaluation differed significantly between the three polyneuropathy groups, patients with anti-MAG antibodies having the longest duration of symptoms (19 months), followed by patients with CIDP (6.5 months), and by those with d-CIDP (3 months), χ2(2) = 8.942, p = 0.011. Post-hoc analysis revealed statistically significant differences in symptoms duration between the patients with d-CIDP and the ones with anti-MAG antibodies (p = 0.008) The demographic characteristics, clinical and electrophysiological scores are summarized in Table 2.

Table 2.

Clinical, demographical, and electrodiagnostic data.

Control Anti-MAG CIDP d-CIDP p
Age (± SD) 54.2 ± 19.37 68.2 ± 7.11 62.33 ± 13.48 54.67 ± 16.13 0.138
(30–82) (55–80) (31–77) (33–79)
Gender
 F 7 (70%) 2 (20%) 4 (33.3%) 2 (33.3%) 0.153
 M 3 (30%) 8 (80%) 8 (66.7%) 4 (66.7%)
Anti-MAG antibodies
  > 50,000 BTU NA 6 (60%) NA NA
  < 50,000 BTU NA 4 (40%) NA NA

Duration of symptoms*

(Months, IQR)

NA 19.5 (7–36) 6.5 (5–24.5) 3 (3–5) .011*
INCAT (± SD) NA 3.11 ± 2.26 3.92 ± 3.42 4.67 ± 4.63 0.116
ONLS (± SD) NA 2.56 ± 2.00 3.08 ± 2.57 3.67 ± 4.08 0.441
MRC (IQR) NA 60, (57.9–60) 60, (54.9–60) 55.8, (44.2–60) 0.263
EDX (± SD) NA 21.00 ± 4.77* 16.00 ± 12.91 7.33 ± 3.72* 0.035
Height (± SD) 168.70 ± 10.68 171.40 ± 8.19 170.83 ± 9.80 181.40 ± 9.60 0.126
Weight (± SD) 63.60 ± 9.69 75.40 ± 11.39 72.00 ± 18.16 77.83 ± 18.22 0.212

*Statistically significant difference

M male, F female, INCAT Inflammatory Neuropathy Cause and Treatment Group (INCAT) disability scale, IQR interquartile range, NA not applicable, ONLS Overall Neuropathy Limitations Scale, SD Standard deviation.

Clinical and electrophysiological tests

Patients with d-CIDP had the highest INCAT (4.67 ± 4.63) and ONLS (3.67 ± 4.08) scores, but also the lowest EDX score (7.33 ± 3.72). They were followed by CIDP patients (average INCAT, ONLS, and EDX scores of 3.92 ± 3.42, 3.08 ± 2.57, and 16 ± 12.91, respectively), and by anti-MAG patients (mean INCAT, ONLS, and EDX scores of 3.11 ± 2.26, 2.56 ± 2, and 21 ± 4.77, respectively). MRC sum score was highest in CIDP and anti-MAG patients. However, the only statistically significant difference between the three groups was for the EDX score, with post-hoc analysis revealing that anti-MAG patients had significantly higher EDX scores than d-CIDP patients (increase of EDX score with 13.66, (95% CI, 7.83–19.5)). The demographic characteristics, clinical and electrophysiological scores are summarized in Table 2.

A Spearman's rank-order correlation was run to assess the relationship between EDX score and mean CSA of nerves and fascicles of ulnar and median nerves. There was a statistically significant, strong positive correlation between EDX scores and overall MN n-CSA rs(25) = 0.457, p = 0.017, and between EDX score and mean UN n-CSA rs(25) = 0.568, p = 0.002. There was no correlation between EDX score and f-CSAs.

When looking at the relationship between the duration of the disease and the mean CSA of nerves and fascicles of ulnar and median nerves, there was a statistically significant correlation between the duration of the disease and the median nerve CSA at the mid-arm, patients with older disease having a larger CSA of the median nerve, rs (28) = 0.379, p = 0.047.

Ultrasound assessment of median and ulnar nerves and fascicles CSA

Mean MN and UN n-CSA and f-CSA values are represented in Figs. 2 and 3. Detailed results can be found in Table 3.

Figure 2.

Figure 2

Mean nerve CSA values (A: right; B: left) for the median and ulnar nerve in controls and neuropathy patients.

Figure 3.

Figure 3

Mean fascicle CSA values (A: right; B: left) for the median and ulnar nerve in controls and neuropathy patients.

Table 3.

Differences between nerve and fascicle cross-sectional area (in mm2) for median and ulnar nerve in controls and patients with immune neuropathies.

Control anti-MAG CIDP d-CIDP p
MN n-CSA wrist 10.14 ± 1.42 11.77 ± 2.67 12.80 ± 3.00 10.92 ± 2.07 0.093
MN n-CSA mid-forearm* 7.25, (IQR 6.2–7.7) 10.51, (IQR 9.9–11.2) 9.03, (IQR 7.6–13.6) 11 (IQR 7–11.8) 0.009
MN n-CSA antecubital fossa 12.50 ± 2.55 16.87 ± 6.14 16.29 ± 5.49 11.99 ± 3.70 0.084
MN n-CSA mid-arm* 11.05 ± 0.99 15.94 ± 3.93 17.30 ± 6.10 12.26 ± 5.70 0.003
MN f-CSA wrist 0.78 ± 0.30 0.92 ± 0.29 1.04 ± 0.41 0.84 ± 0.46 0.339
MN f-CSA mid-forearm* 0.76 ± 0.22 1.06 ± 0.57 1.47 ± 0.69 1.27 ± 0.56 0.021
MN f-CSA antecubital fossa* 1.59 ± 1.04 1.79 ± 0.71 4.84 ± 3.16 4.37 ± 2.07 0.007
MN f-CSA mid-arm* 1.53 ± 0.78 2.80 ± 1.15 5.04 ± 3.09 4.98 ± 1.82  < 0.003
UN n-CSA Guyon 6.10, (IQR 5.4–6.4) 6.61, (IQR 5.4–6.9) 6.48, (IQR 5.8–9.7) 6.95, (IQR 5.1–7.6) 0.347
UN n-CSA mid-forearm* 6.04 ± 1.08 7.83 ± 1.48 8.53 ± 2.94 5.94 ± 0.98 0.012
UN n-CSA below elbow* 7.89 ± 0.89 10.63 ± 3.60 11.10 ± 3.01 8.56 ± 2.64 0.040
UN n-CSA elbow* 9.49 ± 1.76 15.33 ± 4.26 11.00 ± 3.73 11.27 ± 5.11 0.010
UN n-CSA above elbow* 7.72, (IQR 6.7–9.3) 10.93, (IQR 8.4–18.4) 10.73, (IQR 9.4–14.3) 8.76, (IQR 7.5–10.8) 0.014
UN n-CSA mid-arm* 6.92 ± 1.76 10.42 ± 4.24 11.17 ± 4.10 8.00 ± 1.64 0.031
UN f-CSA Guyon 0.68, (IQR 0.5–1.1) 0.72, (IQR 0.4–1.1) 0.86, (IQR 0.7–2) 1.25 (IQR 0.71.8) 0.245
UN f-CSA mid-forearm* 0.71, (IQR 0.5–0.7) 0.99, (IQR 0.8–1.3) 1.33, (IQR 0.9–2.3) 1.09, (IQR 0.7–1.6) 0.004
UN f-CSA below elbow* 0.82, (IQR 0.5–1.5) 1.32, (IQR 1–2.4) 1.86 (IQR 0.9–2.4) 3.87, (IQR 1.7–8.6) 0.019
UN f-CSA elbow 1.98, (IQR 1.5–3.2) 3, (IQR 2–3) 1.66, (IQR 1.4–4.7) 5.56, (IQR 2–11) 0.422
UN f-CSA above elbow* 1.42, (IQR 1–1.8) 1.82, (IQR 1.8–2.3) 3, (IQR 2.1–4) 3.47, (IQR 1.7–6.5) 0.010
UN f-CSA mid-arm* 1.16, (IQR 0.9–1.2) 1.21, (IQR 1–1.4) 2.79, (IQR 1.7–3.4) 3.3, (IQR 1.1–5) 0.010
Average MN CSA* 10.23 ± 1.10 13.74 ± 2.30 14.19 ± 3.85 11.18 ± 2.69 0.002
Average MN f-CSA* 1.17 ± .41 1.65 ± .39 3.19 ± 1.59 2.86 ± .94  < 0.001
Average UN CSA* 7.51, (IQR 6.58.2) 10.81, (IQR 7.9–13.8) 9.29, (IQR 8.32–10.8) 8.24, (IQR 7.3–9.6) 0.005
Average UN f-CSA* 1.25, (IQR 1–1.4) 1.58, (IQR 1.4–2.5) 1.94, (IQR 1.5–2.9) 2.59, (IQR 2–4.6) 0.001
MN FR wrist 0.07 ± 0.02 0.07 ± 0.02 0.08 ± 0.02 0.07 ± 0.04 0.964
MN FR mid-forearm 0.10 ± 0.03 0.10 ± 0.05 0.12 ± 0.05 0.13 ± 0.07 0.509
MN FR antecubital fossa* 0.12 ± 0.06 0.12 ± 0.05 0.29 ± 0.19 0.41 ± 0.31 0.021
MN FR mid-arm* 0.10, (IQR 0.1–0.2) 0.14, (IQR 0.1–0.3) 0.30, (IQR 0.1–0.4) 0.57, (IQR 0.3–0.9) 0.006
UN FR Guyon 0.11, (IQR 0.08–0.2) 0.12, (IQR 0.06–0.2) 0.13, (IQR 0.1–0.2) 0.19, (IQR 0.1–0.2) 0.506
UN FR mid-forearm* 0.12, (IQR 0.07–0.1) 0.13, (IQR 0.1–0.2) 0.16, (IQR 0.1–0.2) 0.18, (IQR 0.1–0.2) 0.041
UN FR below elbow* 0.11, (IQR 0.07–0.2) 0.18, (IQR 0.1–0.3) 0.16, (IQR 0.09–0.2) 0.65, (IQR 0.2–1) 0.049
UN FR elbow 0.21, (IQR 0.2–0.3) 0.20, (IQR 0.1–0.3) 0.18, (IQR 0.1–0.4) 0.40, (IQR 0.2–0.7) 0.186
UN FR above elbow 0.18 ± 0.07 0.17 ± 0.08 0.26 ± 0.12 0.42 ± 0.33 0.171
UN FR mid-arm* 0.18 ± 0.06 0.13 ± 0.06 0.27 ± 0.10 0.40 ± 0.34 0.024
Largest MN n-CSA* 13.08 (1.75) 18.51 (5.59) 18.53 (5.59) 14.42 (4.91) 0.018
Largest MN f-CSA* 1.89 (1.10) 3.10 (0.88) 6.08 (3.21) 5.14 (1.66)  < 0.001
Largest UN n-CSA* 9.80, IQR 8.99–11.19 17.57, IQR 11.19–20.49 11.97, IQR 11.12–13.86 11.04, IQR 9.31–15.11 0.006
Largest UN f-CSA* 2.34, IQR 1.563.36 3.00, IQR 2.35–6.56 3.65, IQR 2.91–4.90 5.81, 3.01–12.25 0.037

Significance values in Bold.

*Asterisks show statistical significance.

Statistically significant differences between the four studied groups were found for: the average MN n-CSA, F (3, 34) = 4.884, p = 0.006, and MN f-CSA, F (3, 34) = 8.950, p =  < 0.001; the MN n-CSA at the mid-arm level F (3, 34) = 4.154, p = 0.013, ω2 = 0.199, and at the mid-forearm χ2(3) = 11.485, p = 0.009; the MN f-CSA in the mid-forearm F (3, 33) = 3.175, p = 0.037, ω2 = 0.150, the antecubital fossa F (3, 34) = 6.671, p = 0.001, ω2 = 0.309, and in the mid-arm F (3, 34) = 6.880, p =  < 0.001, ω2 = 0.317.

For the ulnar nerve, there were significant differences in the n-CSA between the four groups at the mid-forearm site F (3, 32) = 3.944, p = 0.017, ω2 = 0.197, below elbow F (3, 33) = 3.106, p = 0.040, ω2 = 0.146, at the elbow F (3, 33) = 4.451, p = 0.010, ω2 = 0.219, above elbow χ2(3) = 10.669, p = 0.014, and in the mid-arm site F (3, 31) = 3.363, p = 0.031, ω2 = 0.168, as well in the f-CSA when measured in the mid-forearm site χ2(3) = 13.523, p = 0.004, below the elbow χ2(3) = 9.926, p = 0.019, above the elbow χ2(3) = 101.300, p = 0.010, and in the mid-arm χ2(3) = 11.341, p = 0.010. Significant differences between the four groups were also found when analyzing the average UN n-CSA, χ2(3) = 12.686, p = 0.005, and the average UN f-CSA χ2(3) = 16.104, p = 0.001.

When looking at the largest MN and UN CSA as measured by the UHF-US, significant between-group differences were seen for the studied nerves, suggesting substantial variations in nerve and fascicle enlargements in CIDP, d-CIDP and anti-MAG neuropathy compared to controls. Eta-squared values indicated a strong effect size for f-CSA (η2 = 0.435), pointing to its potential as a sensitive biomarker for distinguishing neuropathic changes. (Table 3).

CIDP vs. controls

Post hoc analysis showed that CIDP patients had higher MN n-CSA, and statistical significance was found for the n-CSA at the mid arm (increase of 6.25 mm3 (95% CI, 0.91–11.58), p = 0.021), as well as for the MN f-CSA at the mid-forearm (increase of 0.71 mm3, 95% CI, 0.06–1.37, p = 0.031), antecubital fossa (increase of 3.24 mm3, 95% CI, 0.42–6.07, p = 0.022), and mid-arm levels (increase of 3.50 mm3, 95% CI, 0.77–6.24, p = 0.011). Overall mean MN n-CSA and mean MN f-CSA were significantly higher in CIDP patients, with an increase of 3.95 mm3, (95% CI, 0.53–7.37), p = 0.022, and respectively 2.02 mm3, (95% CI, 0.83–3.20), p < 0.001.

CIDP patients also had larger UN n-CSA, with a significant increase of the CSA of: 3.01 mm3, p = 0.033 above the elbow; 3.2 mm3 (95% CI, 0.005–6.40), p = 0.049 below the elbow; and 4.24 mm3 (95% CI, 0.24–8.24), p = 0.034 at the mid-arm level. UN f-CSA was also significantly larger in CIDP patients than in controls, with an increase of 0.62 mm3 in the mid-forearm, p = 0.002, and of 1.16 mm3 in the mid-arm site, p = 0.014. Overall mean UN n-CSA and mean UN f-CSA were significantly higher in CIDP patients than controls, with an increase of 1.78 mm3, p = 0.013, and respectively 0.69 mm3, p = 0.002.

These differences were consistent upon analysis of the largest median nerve (MN) n-CSA and f-CSA, with patients diagnosed with CIDP exhibiting a notably larger MN n-CSA (increase of 5.44 mm3, 95% CI (0.05, 10.84), p = 0.047) and f-CSA (increase of 4.19 mm3, 95% CI (1.71, 6.67), p < 0.001) compared to control subjects. Similar patterns were observed for the ulnar nerve (UN) n-CSA, where patients with CIDP demonstrated a significant increase of 2.17 mm3, p = 0.032 relative to controls. However, while the largest UN f-CSA was higher in the CIDP group compared to controls, this difference did not reach statistical significance (p = 0.182).

Anti-MAG vs. controls

Anti-MAG patients had significantly larger MN n-CSA in the mid-forearm (increase of 3.26 mm3, p = 0.007) and in the mid-arm (increase of 4.89 mm3 (95% CI, 0.972–8.81), p = 0.015), while MN f-CSA was significantly larger only in the mid-arm site (increase of 1.27 mm3 (95% CI, 0.005–2.54), p = 0.049). Overall average MN n-CSA was significantly higher in patients with anti-MAG than controls (increase of 3.51 mm2, p = 0.004).

Anti-MAG patients also had larger UN n-CSA in the mid-forearm (increase of 1.79 mm3, (95% CI, 0.142–3.45), p = 0.031), at the elbow (increase of 5.84 mm3 (95% CI, 1.31–10.36), p = 0.007), and above the elbow (increase of 3.21 mm3). Overall mean UN n-CSA and mean UN f-CSA were significantly higher in patients with anti-MAG than controls, with an increase of 3.3 mm2, p = 0.002, and respectively 0.33 mm2, p = 0.044.

When focusing on the largest CSA measurements of the studied nerves, it was observed that patients with anti-MAG neuropathy exhibited a trend toward larger MN n-CSA and f-CSA than controls, with an increase in MN n-CSA of 5.43 mm3; however, this difference did not reach statistical significance (95% CI (−0.20, 11.06), p = 0.064). Similarly, the increase in MN f-CSA of 1.21 mm3 (95% CI (−1.37, 3.81), p = 1.00) and the UN f-CSA of 0.66 mm3 (p = 0.159) were larger in the anti-MAG group compared to controls but were not statistically significant. In contrast, the largest ulnar nerve (UN) n-CSA measurements proved to be a more robust differentiator, with patients with anti-MAG neuropathy displaying a statistically significant larger UN n-CSA (increase of 7.77 mm3, p = 0.001) compared to the control group.

D-CIDP vs. control

While no statistically significant differences were found for the MN and UN n-CSA, d-CIDP patients had significantly larger MN f-CSAs at the mid-arm site (increase of 3.44 mm3 (95% CI, 0.739–6.15), p = 0.017) and UN f-CSAs below the elbow (increase of 3.05 mm3, p = 0.021). Furthermore, mean f-CSAs were significantly higher in d-CIDP patients, with an increase of 1.69 mm3, (95% CI, 0.26 to 3.12), p = 0.015 for the MN, and of 1.34 mm3, p < 0.001 for the UN respectively. Highest values of the CSAs of the studied nerves were also increased in patients with d-CIDP when compared with controls. Nonetheless, statistical significance was reached only in the case of the MN f-CSA (increase of 3.25 mm3, 95% CI (0.25, 6.25), p = 0.027) and UN f-CSA (increase of 3.47 mm3, p = 0.007) in d-CIDP patients when compared with controls.

Differences between neuropathies

When testing for differences between the three neuropathy groups, CIDP patients had significantly larger f-CSAs compared to anti-MAG patients: for the MN overall (increase of 1.54 mm3 (95% CI, 0.13–2.95), p = 0.031), and in the antecubital fossa (increase of 3.04 mm3 (95% CI, 0.54–5.54), p = 0.017), and for the UN when measured in the midarm site (increase of 1.58 mm3, p = 0.017). Anti-MAG patients had significantly larger UN n-CSA than d-CIDP patients when measured in the mid-forearm site, with an increase of the n-CSA of 1.89 mm3 (95% CI, 0.16–3.61), p = 0.032. Further, when focusing on the largest CSA measurements within the study, CIDP patients had a notably larger MN f-CSA (increase of 2.97 mm3, 95% CI (0.49, 5.46), p = 0.012) compared to those with anti-MAG neuropathy, indicating distinct patterns of nerve involvement between these conditions.

Role of the FR in differentiating between groups

When comparing with controls, CIDP patients had higher MN FR at the antecubital fossa, with an increase of 0.172, (95% CI, 0.001–0.343), p = 0.047, d-CIDP patients had higher MN FR at the mid-arm site (increase of 0.47, p = 008), and UN FR below the elbow (increase of 0.54, p = 0.038).When testing for differences between the three neuropathy groups, CIDP patients had higher FR compared to anti-MAG patients: for the MN at the antecubital fossa (increase of 0.177, (95% CI, 0.02–0.32), p = 0.023) and for the UN at the mid-arm site (increase of 0.138, (95% CI, 0.38–0.23), p = 0.007).

Discussion

In recent years, ultrasound assessment of peripheral nerves in chronic inflammatory neuropathies (CIN) is considered a valuable diagnostic tool11. Peripheral nerve ultrasound parameters are mainly limited to the quantitative assessment of nerve CSA12,13. Reference values have been proposed with high-frequency (12–20 MHz) ultrasound probes14. Our study proposes the first normative values of n-CSA and f-CSA using a UHF probe (Table 3). No substantial differences were found between the n-CSA values obtained with our probe and the more commonly used high-frequency probe7,14 . What is quite surprising, however, is the difference when calculating f-CSA with the two probes. Grimm et al. previously established f-CSA values in healthy persons and in patients with CIN using a HF probe7. These values are significantly higher than those found in our study, probably due to the difficulty in distinguishing the different fascicles with the conventional probe15. As mentioned in our previous work, the UHF probe allows for better visualization of the fascicles, better characterization of their size and morphology, as well as for an accurate estimate of their number.8. The number of fascicles increased in the median nerve from the axilla to the wrist, while it remained stable in the ulnar nerve with a reduction in number only at the elbow, in perfect accord with anatomical studies16.

In recent years, a standardized ultrasound approach to assess the different components of the peripheral nerve, combined with quantitative assessment has been increasingly proposed8,15,17. Changes in the internal structure, which are consistent with loss of fascicular pattern due to intraneural edema (Fig. 4) and fibrosis, have been considered signs of nerve pathology on both US and MRI10,18. The most prominent US morphological changes in CIDP are multifocal nerve swellings and nonhomogeneous fascicular structure19,20. Our patients showed a similar pattern, with an enlargement of both the n-CSA and the f-CSA, more significantly in the proximal segments of the nerve (Fig. 1). In fact, if we consider all patients as a single dysimmune neuropathy group, a diffuse, but non-homogenous, increase in n-CSA was the uniting feature, more so in the proximal nerve segments. The analysis of the individual groups, on the other hand, revealed somewhat different information. For CIDP, both median and ulnar nerves showed an increase in n-CSA and f-CSA in the proximal segments, with f-CSAs also enlarged in the more distal segment, starting from mid-forearm. On the other hand, in MAG antibody neuropathy, nerve enlargement is also seen in distal segments, without f-CSA increase. Analysis of the larger fascicular CSA allows one to clearly distinguish CIDP from anti-MAG neuropathy. To have an overall picture of these changes, the FR would be a suitable parameter, and based on our data a FR greater than 0.30 would be in favor of CIDP or its distal variant. This would suggest a different involvement of the different nerve structures by the specific inflammatory and immune mechanisms, which relates to the well-known clinical, EDX and treatment response differences of three different types of neuropathies17. Recent data has shown that the blood nerve barrier (BNB) is also subject to contrasting changes in the three neuropathies. The inflammatory process in CIDP and in d-CIDP leads to disruption of the tight junctions (TJ)21, while penetration of anti-MAG IgM antibodies through the BNB occurs without tight junction disruption and without increased permeability to small molecules (possibly through transcytosis)22. Since the TJs of endoneurial vessels are preserved, this would possibly explain the more reduced fascicular swelling.

Figure 4.

Figure 4

Median nerve in the antecubital fossa. The image shows fusion of neighboring fascicles with creation of a single fascicular plexus. Fascicles are swollen and hypoechogenic due to endoneural edema. Areas of focal hyperechogenicity due to fragmentation of the epineurium and endoneurium.

In d-CIDP, n-CSA values were overall lower than in the other neuropathies, while f-CSA were significantly increased, especially in proximal median nerve segments. Literature data regarding US in d-CIDP is scarce, due probably to two factors: firstly, most studies did not differentiate between subtypes or only included typical CIDP, and secondly a more definite definition was only recently made1. One report highlights diffuse n-CSA enlargement, especially in the distal sensory segments23. As far as our results are concerned, the fact that the n-CSA was not increased is not particularly surprising. This subgroup had a significantly shorter disease duration compared to the other groups and it has been shown that US changes are more evident the longer the patient's clinical history20. Also in our study, patients with a longer disease duration had a significantly larger fascicle area of the median nerve in the middle arm. On the other hand, these data seem to strengthen our hypothesis that in the case of CIDP and its distal variant, the inflammatory process electively affects the fascicles earlier in the disease and later the entire nerve.

In our study, no statistically significant association was found between clinical scores and the various groups of neuropathies. The absence of differences in clinical scores and different types of neuropathies was also noticed by Merola et al., while analyzing patients with CIDP and multifocal motor neuropathy24. However, an increase in mean MN et UN n-CSA was strongly correlated with an increase in EDX score, indicating that nerve enlargement is a marker of demyelination.20,25.

The main limitations of our study are the small number of subjects in each subgroup and the different disease duration in each case. Furthermore, there is a predominance of women in the control group compared to the CIDP and anti-MAG group—however, we believe this is not a true limitation per se, as a statistically significant gender-related difference in MN and UN CSA has never been demonstrated26.

In conclusion, we believe our findings show the potential of UHF-US in differentiating between immune neuropathies, with several markers of internal nerve structure being of particular interest. Changes in fascicle size without or with increased n-CSA have already been described in the CIN27. The use of UHF probes allows better visualization of the nerve's internal structure and, based on our data, we could hypothesize that an increase in f-CSA with or without an increase in n-CSA would point the diagnosis towards CIDP or a variant thereof, whereas an increase in n-CSA even in the most distal parts of the nerve without an increase in f-CSA could be a marker of anti-MAG neuropathy. Further studies are needed to consolidate our findings and establish UHF-US as a useful biomarker to distinguish between immune neuropathies.

Author contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by A.P., N.G., R.S.B., A.M., R.Z., M.B.I., C.H., N.A. The first draft of the manuscript was written by A.P., N.G. and R.S.B. All authors read and approved the final manuscript.

Funding

The authors state that this study was supported by a Nice-CHU fund.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on 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.Van den Bergh PYK, et al. European Academy of Neurology/Peripheral Nerve Society guideline on diagnosis and treatment of chronic inflammatory demyelinating polyradiculoneuropathy: Report of a joint Task Force-Second revision. J. Peripher. Nerv. Syst. 2021;26:242–268. doi: 10.1111/jns.12455. [DOI] [PubMed] [Google Scholar]
  • 2.Katz JS, Saperstein DS, Gronseth G, Amato AA, Barohn RJ. Distal acquired demyelinating symmetric neuropathy. Neurology. 2000;54:615–620. doi: 10.1212/WNL.54.3.615. [DOI] [PubMed] [Google Scholar]
  • 3.Oudeman J, et al. Diagnostic accuracy of MRI and ultrasound in chronic immune-mediated neuropathies. Neurology. 2020;94:e62–e74. doi: 10.1212/WNL.0000000000008697. [DOI] [PubMed] [Google Scholar]
  • 4.Lucchetta M, et al. Nerve ultrasound findings in neuropathy associated with anti-myelin-associated glycoprotein antibodies. Eur. J. Neurol. 2015;22:193–202. doi: 10.1111/ene.12554. [DOI] [PubMed] [Google Scholar]
  • 5.Goedee HS, et al. Neuropathy associated with immunoglobulin M monoclonal gammopathy: A combined sonographic and nerve conduction study. Muscle Nerve. 2019;60:263–270. doi: 10.1002/mus.26626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Oka Y, et al. Nerve ultrasound characteristics of immunoglobulin M neuropathy associated with anti-myelin-associated glycoprotein antibodies. Muscle Nerve. 2022;65:667–675. doi: 10.1002/mus.27542. [DOI] [PubMed] [Google Scholar]
  • 7.Grimm A, et al. A look inside the nerve - Morphology of nerve fascicles in healthy controls and patients with polyneuropathy. Clin. Neurophysiol. 2017;128:2521–2526. doi: 10.1016/j.clinph.2017.08.022. [DOI] [PubMed] [Google Scholar]
  • 8.Puma A, et al. Comparison of high-frequency and ultrahigh-frequency probes in chronic inflammatory demyelinating polyneuropathy. J. Neurol. 2019;266:2277–2285. doi: 10.1007/s00415-019-09392-z. [DOI] [PubMed] [Google Scholar]
  • 9.Joint Task Force of the EFNS and the PNS. European Federation of Neurological Societies/Peripheral Nerve Society Guideline on management of chronic inflammatory demyelinating polyradiculoneuropathy: Report of a joint task force of the European Federation of Neurological Societies and the Peripheral Nerve Society--First Revision. J. Peripher. Nerv. Syst.15, 1–9 (2010). [DOI] [PubMed]
  • 10.Tagliafico AS, Tagliafico G. Fascicular ratio: a new parameter to evaluate peripheral nerve pathology on magnetic resonance imaging: A feasibility study on a 3T MRI system. Medicine. 2014;93:e68. doi: 10.1097/MD.0000000000000068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Goedee HS, et al. Nerve ultrasound can identify treatment-responsive chronic neuropathies without electrodiagnostic features of demyelination. Muscle Nerve. 2019;60:415–419. doi: 10.1002/mus.26629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Telleman JA, et al. Prognostic value of nerve ultrasonography: A prospective multicenter study on the natural history of chronic inflammatory neuropathies. Eur. J. Neurol. 2021;28:2327–2338. doi: 10.1111/ene.14885. [DOI] [PubMed] [Google Scholar]
  • 13.Herraets IJT, et al. Nerve ultrasound for diagnosing chronic inflammatory neuropathy: A multicenter validation study. Neurology. 2020;95:e1745–e1753. doi: 10.1212/WNL.0000000000010369. [DOI] [PubMed] [Google Scholar]
  • 14.Goedee HS, et al. Diagnostic value of sonography in treatment-naive chronic inflammatory neuropathies. Neurology. 2017;88:143–151. doi: 10.1212/WNL.0000000000003483. [DOI] [PubMed] [Google Scholar]
  • 15.Snoj Ž, et al. Median and ulnar nerve fascicle imaging using MR microscopy and high-resolution ultrasound. J. Neuroimaging. 2022 doi: 10.1111/jon.12982. [DOI] [PubMed] [Google Scholar]
  • 16.Brill NA, Tyler DJ. Quantification of human upper extremity nerves and fascicular anatomy. Muscle Nerve. 2017;56:463–471. doi: 10.1002/mus.25534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ricci V, et al. Histopathology and high-resolution ultrasound imaging for peripheral nerve (injuries) J. Neurol. 2022 doi: 10.1007/s00415-022-10988-1. [DOI] [PubMed] [Google Scholar]
  • 18.Tagliafico A, Tagliafico G, Martinoli C. Nerve density: a new parameter to evaluate peripheral nerve pathology on ultrasound. Preliminary study. Ultrasound Med. Biol. 2010;36:1588–1593. doi: 10.1016/j.ultrasmedbio.2010.07.009. [DOI] [PubMed] [Google Scholar]
  • 19.Härtig F, et al. Nerve ultrasound predicts treatment response in chronic inflammatory demyelinating polyradiculoneuropathy: A prospective follow-up. Neurotherapeutics. 2018;15:439–451. doi: 10.1007/s13311-018-0609-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Fionda L, et al. Changes of clinical, neurophysiological and nerve ultrasound characteristics in CIDP over time: A 3-year follow-up. J. Neurol. 2021;268:3011–3019. doi: 10.1007/s00415-021-10485-x. [DOI] [PubMed] [Google Scholar]
  • 21.Shimizu F, et al. Severity and patterns of blood-nerve barrier breakdown in patients with chronic inflammatory demyelinating polyradiculoneuropathy: correlations with clinical subtypes. PLoS One. 2014;9:e104205. doi: 10.1371/journal.pone.0104205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sato R, et al. Autocrine TNF-α increases penetration of myelin-associated glycoprotein antibodies across the blood-nerve barrier in anti-MAG neuropathy. Neurol. Neuroimmunol. Neuroinflamm. 2023;10:e200086. doi: 10.1212/NXI.0000000000200086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Vu QD, Cartwright MS. Neuromuscular ultrasound findings in distal acquired demyelinating symmetric variant of chronic inflammatory demyelinating polyneuropathy. Muscle Nerve. 2017;56:E44–E45. doi: 10.1002/mus.25739. [DOI] [PubMed] [Google Scholar]
  • 24.Merola A, Rosso M, Romagnolo A, Peci E, Cocito D. Peripheral nerve ultrasonography in chronic inflammatory demyelinating polyradiculoneuropathy and multifocal motor neuropathy: Correlations with clinical and neurophysiological data. Neurol. Res. Int. 2016;2016:9478593. doi: 10.1155/2016/9478593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Di Pasquale A, et al. Peripheral nerve ultrasound changes in CIDP and correlations with nerve conduction velocity. Neurology. 2015;84:803–809. doi: 10.1212/WNL.0000000000001291. [DOI] [PubMed] [Google Scholar]
  • 26.Grimm A, Axer H, Heiling B, Winter N. Nerve ultrasound normal values: Readjustment of the ultrasound pattern sum score UPSS. Clin. Neurophysiol. 2018;129:1403–1409. doi: 10.1016/j.clinph.2018.03.036. [DOI] [PubMed] [Google Scholar]
  • 27.Rattay TW, et al. Nerve ultrasound as follow-up tool in treated multifocal motor neuropathy. Eur. J. Neurol. 2017;24:1125–1134. doi: 10.1111/ene.13344. [DOI] [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 datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.


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

RESOURCES