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PLOS One logoLink to PLOS One
. 2016 Nov 18;11(11):e0166197. doi: 10.1371/journal.pone.0166197

Geometry of the Proximal Phalanx of Hallux and First Metatarsal Bone to Predict Hallux Abducto Valgus: A Radiological Study

Eduardo Perez Boal 1, Ricardo Becerro de Bengoa Vallejo 2, Miguel Fuentes Rodriguez 1, Daniel Lopez Lopez 3, Marta Elena Losa Iglesias 1,*
Editor: Mikko Juhani Lammi4
PMCID: PMC5115701  PMID: 27861517

Abstract

Background

Hallux abducto valgus (HAV) is one of the most common forefoot deformities in adulthood with a variable prevalence but has been reported as high as 48%. The study proposed that HAV development involves a skeletal parameter of the first metatarsal bone and proximal phalanx hallux (PPH) to determine if the length measurements of the metatarsal and PPH can be used to infer adult HAV.

Methods

All consecutive patients over 21 years of age with HAV by roentgenographic evaluation were included in a cross-sectional study. The control group included patients without HAV. The study included 160 individuals. We identified and assessed the following radiographic measurements to evaluate HAV: the distances from the medial (LDM), central (LDC), and lateral (LDL) aspects of the base to the corresponding regions of the head of the PPH. The difference between the medial and lateral aspect of PPH was also calculated.

Results

The reliability of the variables measured in 40 radiographic films show perfect reliability ranging from 0.941 to 1 with a small error ranging from 0.762 to 0. Also, there were no systematic errors between the two measurements for any variable (P > 0.05). The LDM PPH showed the highest reliability and lowest error.

Conclusion

It is more suitable to measure the LDM PPH instead of the LDC PPH when calculating the hallux valgus angle based on our reliability results. When the differences of the medial and lateral PPH are greater, the risk for developing HAV increases.

Introduction

Hallux abducto valgus (HAV) is one of the most common forefoot deformities in adulthood with a variable prevalence but has been reported as high as 48% [1]. The deformity is most common in women during their fourth, fifth, and sixth decade of life [2] and is usually progressive [3,4], occurring more frequently in elderly women [5]. HAV is considered a deformity of multifactorial origin, primarily attributed to the use of footwear [6,7], genetics [8], and gender [9]. Additional factors also include metatarsus varus [10], abnormal metatarsus length [11] abnormal shape of the metatarsal head [12], action of the foot muscles [13], and foot pronation [14]. Excessive length of the first metatarsal with respect to the second [1517], also called protrusion [10,11,18,19], has been associated with hallux valgus, but a short first metatarsal relative to the second [20] has also been suggested as an etiologic factor in HAV. Other reported etiologic factors include [19], a high intermetatarsal angle [10,15], and hypermobility [14,21,22].

The association of an excessive absolute length of the first metatarsal and the deformity of hallux valgus has been reported previously [17]. However, there are also authors who state that in feet with this deformity, the first metatarsal is not longer than the second, rather it has a greater relative protrusion [11]. Also, the alteration in the length of the hallux has been related with the etiology of hallux valgus, specifically an excessive length [15,17,2326].

Typically, measurement of the longitudinal axis of the first metatarsal bone and the proximal phalanx are used to determinate the HAV angle [15,17,2730]. Tanaka et al [17] reported that, on average, the great toe and first metatarsal of 64 female patients who had hallux valgus were longer than those of normal subjects. However, the length at the tip of the great toe and at the end of the first metatarsal were larger only in the patients who were less than 20 years old, because of the progressive angulation of the great toe and the first metatarsal in the older patients.

Ferrari et al. [31] used a three-dimensional laser scan to measure bone size and shape of the talus, navicular, medial cuneiform, and first metatarsal bones from 107 skeletons of known age and sex, suggesting that the female foot has an underlying anatomical predisposition to first metatarsal adduction and, thus, HAV formation.

Recently, in a cadaveric study [32,33], the dimensions of the proximal phalanx hallux (PPH) in normal feet in both men and women were studied to determinate the height, base width, longitudinal distance of the medial, central and lateral aspect of the proximal phalanx. Significant differences were found between the genders in most dimensions of the PPH, except for the depth of the concave area of the base of the proximal phalanx.

Based on the geometric differences of the first metatarsal bone and PPH, we designed a new approach to radiographically measure this deformity at the medial, central and lateral aspects at the first metatarsal bone and the proximal phalanx in normal and HAV persons to determine any differences. Despite a large number of studies on this subject, the underlying cause of this deformity remains unclear. This divergence of opinions regarding the etiology of HAV underscores the need for a new perspective in order to elucidate the underlying possible etiological factors of this deformity. Unlike previous studies, the current study proposed that HAV development involves a skeletal parameter of the first metatarsal bone and PPH to determine if the length measurements of the metatarsal and PPH can be used to infer adult HAV. We hypothesized that the length of lateral, medial and central sides of the first metatarsal bone and the first proximal phalanx were different depending on if a person had hallux valgus. Further, a gender-specific effect on the first metatarsal bone and/or PPH was also evaluated to understand if women were predisposed developing HAV greater than men.

Material and Methods

Prospective longitudinal case control study design. The subjects of this study were patients attending the foot and ankle clinic at the CEMTRO hospital of Madrid from January 20013 to January 2015. This study has been approved by the Experimental Ethics Committee of the University of Rey Juan Carlos, and written consent was obtained for all participants.

All consecutive patients over 21 years of age with HAV by roentgenographic evaluation were included in a cross-sectional study. The control group included patients without HAV who visited the clinic for other orthopedic conditions of the foot. Controls were matched to cases according to age and gender. Exclusion criteria included previous foot surgery, malformations on the lower extremity, foot trauma, and neurological diseases. The study included 160 individuals (Table 1).

Table 1. Demographic data of the study population.

Group All subjects Males Females P value
Age: mean±SD (95% CI) N feet (R/L) Age: mean±SD (95% CI) N feet (R/L) Age: mean±SD (95% CI) N feet (R/L)
Total population (N = 160) 49.80 ± 13.71 (47.55–52.05) 160 (104/107) 48.74 ± 15.18 (45.28–52.21) 85 (54/55) 50.93 ± 11.93 (48.11–53.75) 75 (50/52) 0.244
Control group (N = 81) 49.60 ± 13.89 (40.02–59.18) 81 (52/59) 46.72 ± 15.75 (42.07–51.37) 44 (28/31) 52.86 ± 10.67 (49.42–56.29) 37 (24/28) 0.017
HAV group (N = 79) 50.02 ± 13.58 (47.02–53.01) 79 (52/48) 51.12 ± 14.26 (46.75–55.48) 41 (26/24) 48.92 ± 12.91 (44.82–53.02) 38 (26/24) 0.420

Abbreviations: N, sample size; SD, standard deviation. R, Right; L, left. P value determined with independent t-tests. P<0.01 considered statistically significant.

The diagnosis of HAV was based on the clinical appearance of the forefoot and on radiographic evaluation [3,10,3436] under standardized weight-bearing conditions [37]. The diagnostic angle for HAV is 15° between the longitudinal axis of the first metatarsal and that of the proximal phalanx [38].

The foot radiographs were taken using a General Electrics Discovery XR656 Plus (General Electrics Research, Milwaukee, WI) at a source-to-image distance of 100 cm and were set to 60 kVp and 2,5 mAs with the patient standing. We retrieved the radiographic images using a picture archiving and communication system (PACS) (IMPAX; Agfa Healthcare, Mortsel, Belgium), and radiographic measurements were performed using PACS software and a digital radiographic imaging and measuring system (AutoCad 2013, Autodesk Inc., San Rafael, CA)

Dorsoplantar radiographs for weight-bearing conditions were performed with the patients standing on both feet with the knee extended. The medial border of the foot was aligned to avoid internal or external rotation of the leg and the foot was pointed straight forward in neutral rotation, parallel to the medial sagittal plane. The X-ray beam was inclined 15° in an anterior-posterior direction centered on the second tarsometatarsal joint at a distance of 100 cm [37,3942].

We identified and assessed the following radiographic measurements to evaluate HAV: the distances from the medial (LDM), central (LDC), and lateral (LDL) aspects of the base to the corresponding regions of the head of the PPH [32]. The difference between the medial and lateral aspect of PPH was also calculated [33] (Fig 1). All measurements were performed in an independent blinded fashion.

Fig 1. On the weight-bearing dorsoplantar foot radiograph, lines were measured and drawn; line 1 is the longitudinal distance medial aspect of the proximal phalanx (LDMPPH); line 2 is the longitudinal distance central aspect of the proximal phalanx (LDCPPH); line 3 is the longitudinal distance lateral aspect of the proximal phalanx (LDLPPH); line 4 is the longitudinal distance medial aspect of the I metatarsal bone (LDM-M); line 5 is the longitudinal distance central aspect of the I metatarsal bone (LDC-M); line 6 is the longitudinal distance lateral aspect of the I metatarsal bone (LDL-M).

Fig 1

Statistical analyses

To determine the reliability of the measurement procedure, 20 feet from the control group and 20 feet from the HAV group were chosen at random. Measurements were made with an interval of five days between the first and second measurements. The intraclass coefficient of this correlation was calculated according to the methodology used previously by Shrout and Fleiss [43].

The minimum number of patients required was calculated based on reliability testing to determine reliability. In this study, the ICCs were used for reliability testing at a target value of 0.8 and a 95% CI of 0.2. We calculated the sample size to be 36 patients with a Bonett’s approximation [44]. One foot from each patient was selected by random sampling for statistical independence and included for data analysis [45]. We calculated intraobserver reliabilities using the ICCs; 95% CIs were determined in the setting of a two-way random effect model, a single measurement, and absolute agreement. Radiographic variables were measured on the 36 films, and the data were used to determine if the measurements were reliable prior to completing measurements for the entire study population [46].

Measurements included 211 radiographs from 109 feet of men (59 in control group, 50 in HAV group) and 102 feet of women (52 in control group, 50 in HAV group). The paired t test was used to compare the mean values between the first and second measurements. Intraclass correlation coefficients (ICCs) were calculated to first determine reliability between trials. The average of two trials for each test session on each radiograph was used to calculate intersession reliability using an ICC[1,k] model.

The ICC measures the relative error, the degree to which individuals maintain their position or value in repeated measurements [43,47]. The ICC ranges from 0 to 1[25]. To analyze the results we used the criteria of Landis and Koch (1977), who consider that an ICC value from 0.40 to less than 0.60 has moderate reliability, from 0.60 to less than 0.80 is reliable, and from 0.81 or greater, is considered almost perfect [48]. The SEM is a measure of absolute reliability; the lower the SEM, the greater reliability [49,50]. The Kolmogorov-Smirnov test was used to evaluate the normality of the data. The results indicated that the data were normally distributed and that parametric statistical tests were most appropriate.

Age, gender and descriptive data of variables were summarized as mean ± standard deviation (SD) and 95% confidence interval. To determine differences between groups and gender, the independent t-test was used. Analysis of variance (ANOVA) was performed to determine whether there were statistically significant differences between groups and gender in the LDM, LDC, and LDL of the PPH and first metatarsal bone. The dependent variables were the presence or absence of HAV deformity and the independent variables were the lateral, medial and central aspect length of PPH, lateral, medial and central aspect length of I MTT. Pearson’s correlation test was applied to the data in order to determine whether there was any association among the radiographic measurements between measured variables compared with HAV angle and HAV group.

In all of the analyses, statistical significance was established by a P value of less than 0.01, with an interval of confidence of 99%, and analyses were performed with commercially available software (SPSS 19.0, SPSS Inc, Chicago, Illinois). All data analyzed for this paper are publicly archived at Figshare (https://dx.doi.org/10.6084/m9.figshare.4109631).

Results

The demographics data are shown in Table 1.

The reliability of the variables measured in 40 radiographic films are shown in Table 2, and all show perfect reliability ranging from 0.941 to 1 with a small error ranging from 0.762 to 0. Also, there were no systematic errors between the two measurements for any variable (P > 0.05). The LDM PPH showed the highest reliability and lowest error, and in the metatarsal bone the LDC M showed the highest reliability and lowest error.

Table 2. Reliability of variables from the first and second sessions.

First measurement Second measurement Reliability Kolmogorov-Smirnov Systematic error between first and second session
Variable N = 40 Mean ±SD Mean ±SD ICC 95% IC (Li-Ls) SEM P value P value
(min-max) (min-max)
LDM PPH 35.60 ± 3.22 (28.32–41.87) 35.59 ± 3.23 (28.30–42.04) 1.00(1.00–1.00) 0 0.07 0.744
LDC PPH 29.95 ± 2.95 (23.79–35.25) 29.78 ± 3.31 (20.24–35.38) 0.941(0.888.0.969) 0.762 0.052 0.488
LDL PPH 32.67 ± 3.30 (26.03–37.94) 32.59 ± 3.31 (26.02–38.03) 0.998(0.993–0.998) 0.147 0.2 0.178
DIF. LDM-LDL (PPH) 2.92 ± 1.15 3.00 ± 1.10 0.972(0.946–0.985) 0.189 0.056 0.174
LDM M 67.35 ± 5.12 (57.29–75.22) 67.38 ±5.12 (57.19–75.46) 0.999(0.998–1.00) 0.162 0.2 0.573
LDC M 65.38 ± 5.62 (54.62–74.40) 65.44 ± 5.58 (54.77–74.56) 1.00(1.00–1.00) 0 0.2 0.051
LDL M 67.86 ± 5.46 (57.27–76.74) 67.94 ±5.45 (57.05–76.86) 0.999(0.998–1.00) 0.172 0.085 0.111

Abbreviations: N, sample size; SD, standard deviation; Min, minimum value; Max, maximum value; LDM PPH, longitudinal distance of the medial aspect of hallux; LDC PPH, longitudinal distance of the central aspect of hallux; LDL PPH, longitudinal distance of the lateral aspect of hallux; DIF LDM–LDL (PPH), Difference between Longitudinal distance of Medial aspect and Longitudinal distance of Lateral aspect of Hallux; LDM M, longitudinal distance of the medial aspect of first metatarsal; LDC M, longitudinal distance of the central aspect of first metatarsal; LDL M, longitudinal distance of the lateral aspect of first metatarsal; SD, standard deviation. P < 0.05 (with a 95% confidence interval) was considered statistically significant. SD, Standard deviation. ICC, Intraclass Correlation Coefficient; Li, inferior limit; Ls, Superior limit; SEM, standard error of the mean. P < 0.01 (with a 99% confidence interval) was considered statistically significant.

Based on the strong reliability, the remaining radiographs were analyzed (total of 211 feet; Table 1). The only variable with a significant correlation with HAV in females was DIF LDM-LDL (PPH) (r = 0.279, p = 0.048). The geometry of the PPH in the control group between males and females showed significant medial and central longitudinal distances (P < 0.01). The geometry of the first metatarsal bone was significantly shorter for females at medial, central and lateral longitudinal distances (P < 0.001; Table 3). The geometry of PPH in the HAV group showed a significantly smaller PPH in females versus males (P < 0.01), but no difference in the first metatarsal between the genders (P > 0.05; Table 3).

Table 3. Comparative measurements of the proximal phalanx and first metatarsal bone.

CONTROL GROUP HAV GROUP
Total Sample (N = 81) Male (N = 44) Female (N = 37) P value Total Sample (N = 79) Male (N = 41) Female (N = 38) P value
Variable (mm) Mean ± SD (range) Mean ± SD (range) Mean ± SD (range) Male vs. Female Mean ± SD (range) Mean ± SD (range) Mean ± SD (range) Male vs. Female
LDM PPH 35.58 ± 3.37 (27.44–45.17) 37.08 ± 2.97 (28.40–45.17) 33.89 ± 2.99 (27.44–41.73) 0.020 36.08 ± 3.37 (28.34–44.40) 36.97 ± 2.87 (31.36–44.40) 35.18 ± 3.61 (28.34–43.09) 0.007
LDC PPH 30.60 ± 30.40 (20.18–40.44) 32.04 ± 2.99 (23.99–40.44) 28.97 ± 3.13 (20.18–36.81) 0.001 29.83 ± 3.12 (28.76–39.35) 30.71 ± 2.84 (24.40–37.63) 28.94 ± 3.16 (23.14–36.20) 0.004
LDL PPH 33.46 ± 3.42 (24.99–43.99) 34.95 ± 3.10 (26.21–43.99) 31.77 ± 2.98 (24.99–39.62) 0.105 32.50 ± 3.23 (25.31–40.39) 33.47 ± 2.88 (28.49–40.39) 31.53 ± 3.29 (25.31–38.86) 0.002
DIF. LDM-LDL (PPH) 2.12 ± 0.46 (0.75–3.14) 2.13 ± 0.49 (0.75–3.14) 2.21 ± 0.45 (1.33–3.13) 0.930 3.57 ± 0.78 (1.39–5.74) 3.50 ± 0.68 (1.39–4.82) 3.65 ± 0.87 (2.27–5.74) 0.327
LDM M 66.41 ± 5.42 (54.19–78.83) 68.80 ± 4.39 (56.73–78.83) 63.70 ± 5.25 (54.19–73.86) 0.001 68.84 ± 6.38 (54.05–84.12) 69.68 ± 6.50 (57.60–81.65) 68.00 ± 6.19 (54.05–84.12) 0.188
LDC M 64.25 ± 5.54 (50.50–76.47) 66.44 ± 4.81 (53.41–76.47) 61.77 ± 5.31 (50.50–71.20) 0.001 67.36 ± 6.44 (53.33–82.74) 67.71 ± 6.74 (55.26–79.34) 67.01 ± 6.18 (53.33–82.74) 0.591
LDL M 66.64 ± 5.70 (53.60–78.81) 68.94 ± 4.78 (57.26–78.81) 64.03 ± 5.58 (53.60–75.73) 0.001 70.24 ± 6.25 (56.89–84.60) 71.11 ± 6.40 (59.7–84.6) 69.36 ± 6.03 (56.89–8.51) 0.163

Abbreviations: LDM PPH, longitudinal distance of the medial aspect of hallux; LDC PPH, longitudinal distance of the central aspect of hallux; LDL PPH, longitudinal distance of the lateral aspect of hallux; DIF LDM–LDL (PPH), Difference between Longitudinal distance of Medial aspect and Longitudinal distance of Lateral aspect of Hallux; LDM M, longitudinal distance of the medial aspect of first metatarsal; LDC M, longitudinal distance of the central aspect of first metatarsal; LDL M, longitudinal distance of the lateral aspect of first metatarsal; SD, standard deviation. P < 0.01 (with a 99% confidence interval) was considered statistically significant.

The male group showed significantly shorter LDC PPH (P < 0.001) and LDL PPH (P = 0.005) in the HAV group, but no differences with regard to the LDM HHP The LDM–LDL (PPH) was significantly greater in males with HAV(3.50 ± 0.68 mm) compared to controls (2.13 ± 0.49 mm). Similar results occurred in the female group, such that LDM PPH in females with HAV were significantly longer than controls (P = 0.025), but there were no differences in the LDC (P = 0.484) and LDL (P = 0.352) for the female HAV group (Table 4). All distances from first metatarsal bone were significantly longer in females with HAV versus controls (P < 0.001; Table 4).

Table 4. Comparative measurements of the proximal phalanx and first metatarsal bone.

Male Female
Control group (N = 44) HAV group (N = 41) Control group (N = 37) HAV group (N = 38)
Variable (mm) Mean ± SD (range) Mean ± SD (range) P value Mean ± SD (range) Mean ± SD (range) P value
LDM PPH 37.08 ± 2.97 (28.40–45.17) 36.97 ± 2.87 (31.36–44.40) 0.425 33.89 ± 2.99 (27.44–41.73) 35.18 ± 3.61 (28.34–43.09) 0.025
LDC PPH 32.04 ± 2.99 (23.99–40.44) 30.71 ± 2.84 (24.40–37.63) 0.001 28.97 ± 3.13 (20.18–36.81) 28.94 ± 3.16 (23.14–36.20) 0.484
LDL PPH 34.95 ± 3.10 (26.21–43.99) 33.47 ± 2.88 (28.49–40.39) 0.005 31.77 ± 2.98 (24.99–39.62) 31.53 ± 3.29 (25.31–38.86) 0.352
DIF LDM–LDL (PPH) 2.13 ± 0.49 (0.75–3.14) 3.50 ± 0.68 (1.39–4.82) 0.001 2.21 ± 0.45 (1.33–3.13) 3.65 ± 0.87 (2.27–5.74) 0.001
LDM M 68.80 ± 4.39 (56.73–78.83) 69.68 ± 6.50 (57.60–81.65) 0.201 63.70 ± 5.25 (54.19–73.86) 68.00 ± 6.19 (54.05–84.12) 0.001
LDC M 66.44 ± 4.81 (53.41–76.47) 67.71 ± 6.74 (55.26–79.34) 0.126 61.77 ± 5.31 (50.50–71.20) 67.01 ± 6.18 (53.33–82.74) 0.001
LDL M 68.94 ± 4.78 (57.26–78.81) 71.11 ± 6.40 (59.7–84.6) 0.022 64.03 ± 5.58 (53.60–75.73) 69.36 ± 6.03 (56.89–8.51) 0.001

Abbreviations: LDM PPH, longitudinal distance of the medial aspect of hallux; LDC PPH, longitudinal distance of the central aspect of hallux; LDL PPH, longitudinal distance of the lateral aspect of hallux; DIF LDM–LDL (PPH), Difference between Longitudinal distance of Medial aspect and Longitudinal distance of Lateral aspect of Hallux; LDM M, longitudinal distance of the medial aspect of first metatarsal; LDC M, longitudinal distance of the central aspect of first metatarsal; LDL M, longitudinal distance of the lateral aspect of first metatarsal; SD, standard deviation. P < 0.01 (with a 99% confidence interval) was considered statistically significant.

Similar results occurred in the female group, such that LDM PPH in females with HAV were significantly longer than controls at 95% IC (P = 0.025), but there were no differences in the LDC (P = 0.484) and LDL (P = 0.352) for the female HAV group (Table 4).

Surprisingly, there were significant differences with regard to the geometry of the PPH calculated or according to variable DIF LDM–LDL (PPH) in predicting the presence of HAV in our study population (Table 5). Cutoff values of the variable DIF LDM–LDL (PPH) defined at relatively greater differences distances of medial and lateral aspects of the PPH were very sensitive for detecting the presence of HAV and also very specific for predicting a lack of HAV. Differences between genders were determined between the optimal DIF LDM–LDL (PPH) cutoff values to predict presence of HAV, as determined by a balance of sensitivity and specificity. The area under the ROC curve was significantly greater P < 0.01) for presence of HAV when DIF LDM–LDL (PPH) in the total population were ≥ 2.81 mm (Fig 2A), in males were ≥ 2.81 mm (Fig 2B), and in females were ≥ 2.9 mm (Fig 2C). Conversely, cutoff values made at lower DIF LDM–LDL (PPH) were sensitive for predicting absence of HAV.

Table 5. Optimal Cut-off Value to Predict Hallux Abductus Valgus.

POPULATION VARIABLE Optimal cutoff value (mm) HAV presence AREA UNDER THE ROC CURVE (95% CI) P VALUE SENSIVITY % SPECIFICITY %
TOTAL N = 211 (HAV Group N = 100; Control Group N = 111) LDM PPH ≥ 36,945 0.530(0.452–0.609) 0,445 42 67,6
LDC PPH ≥ 30,325 0.633(0.556–0.713) 0,001 12 88,3
LDL PPH ≥ 33,540 0.407(0.330–0.485) 0,020 35 42,3
LDM M ≥ 66,315 0.607(0.531–0.684) 0,007 67 53,2
LDC M ≥ 65,605 0.633(0.557–0.708) 0,001 65 58,6
LDL M ≥ 72,105 0.655(0.581–0.728) 0,001 43 81,1
DIF LDM-LDL PPH ≥ 2,810 0.952(0.924–0.980) 0,001 87 94,6
MALE N = 109 (HAV Group N = 50; Control Group N = 59) LDM PPH ≥ 35,955 0.460(0.349–0.571) 0,477 58 23,7
LDC PPH ≥ 30,780 0.338(0.232–0.443) 0,004 42 22
LDL PPH ≥ 33,660 0.343(0.238–0.449) 0,005 42 18,6
LDM M ≥ 75,005 0.543(0.430–0.656) 0,440 26 94,9
LDC M ≥ 73,995 0.552(0.439–0.665) 0,351 24 96,6
LDL M ≥ 74,070 0.597(0.486–0.707) 0,083 32 93,2
DIF LDM-LDL PPH ≥ 2,810 0.962(0.921–1.00) 0,001 94 94,9
FEMALE N = 102 (HAV Group N = 50; Control Group N = 52) LDM PPH ≥ 36,225 0.602(0.491–0.712) 0,077 40 84,6
LDC PPH ≥ 29,890 0.482(0.368–0.595) 0,753 30 53,8
LDL PPH ≥ 29,260 0.473(0.359–0.586) 0,632 74 15,4
LDM M ≥ 66,315 0.699(0.597–0.800) 0,001 64 75
LDC M ≥ 65,605 0.735(0.639–0.831) 0,001 66 76,9
LDL M ≥ 67,925 0.738(0.642–0.833) 0,001 64 76,9
DIF LDM-LDL PPH ≥ 2,900 0.944(0.904–0.983) 0,001 80 94,2

Abbreviations: ROC, receiver operating characteristic; CI, confidence interval

Fig 2.

Fig 2

The capacity of variables for detecting presence of Hallux Abductus Valgus in the total population (A), males (B), and females (C). Abbreviations: LDM PPH, longitudinal distance of the medial aspect of hallux (purple line); LDC PPH, longitudinal distance of the central aspect of hallux (red line); LDL PPH, longitudinal distance of the lateral aspect of hallux (yellow line); DIF LDM–LDL (PPH), Difference between longitudinal distance of medial aspect and Longitudinal distance of lateral aspect of hallux (light blue line); LDM M, longitudinal distance of the medial aspect of first metatarsal (olive green line); LDC M, longitudinal distance of the central aspect of first metatarsal (dark blue line); LDL M, longitudinal distance of the lateral aspect of first metatarsal (dark green line); SD, standard deviation. P < 0.01 (with a 99% confidence interval) was considered statistically significant.

Discussion

Traditionally, the hallux valgus angle as measured on radiographs is used as the gold standard to determine hallux valgus deformity [36]. This is despite the fact that hallux valgus is a complex three-dimensional deformity, and the hallux valgus angle can only explain the deformity in one plane. Here, we present a prospective longitudinal case control study that compares the geometry of the PPH and first metatarsal bone in patients with and without HAV deformity. We investigated the reliabilities of radiographic measurements of the longitudinal axis of PPH and the first metatarsal bone to determine which axis or line from radiographic measurements is more reliable to measure the hallux valgus angle. We found the LDM PPH I to be more reliable with an ICC of 1 and inferior and superior limits of 1.00 and 1.00. While the measurement of the longitudinal axis of the PPH, LDC PPH, showed an ICC of 0.941 with inferior and superior limits of 0.888 and 0.969, respectively. Based on these results, we postulate the LDM PPH is a more suitable measurement than the longitudinal axis of the PPH or LDC PPH.

Further, the longitudinal axis of the first metatarsal, LDC M, showed a perfect ICC value with inferior and superior limits of 1.00 and 1.00, respectively. The results show that in patients without HAV, females have shorter LDM PPH and first metatarsal bones than do males. Alternatively, females in HAV group exhibit a significantly smaller PPH than males with HAV. But surprisingly, the length of the first metatarsal bone in females with HAV is much longer in its LDM M, LDC M and LDL M than males with HAV. In males, the longitudinal distances at PPH were significantly shorter for LDL PPH, but similar in length for the LDM PPH. However, the contrary is true for females, as they have significantly longer LDM PPH but similar lengths of the LDL and LDC PPH.

In males with HAV, the LDL M is significantly longer than controls, but the LDM M and LDCM are of similar length. In females with HAV, the LDM M, LDC M and LDL M at PPH are all significantly longer than controls. Also, females with HAV exhibit a significantly longer first metatarsal bone compared to females without HAV, and have similar length as males with HAV.

Traditionally, a measurement of first metatarsal protrusion distance has been used to calculate the length of the first metatarsal bone [10], and it is been reported that a shorter first metatarsal bone relative to the second is associated with HAV deformity [17,20,51].We emphasize that these studies did not take into account the difference between the arcs of the bisecting lines of the first and second metatarsals from the common intersection of the two lines. The first metatarsal bone is actually not shorter; rather it is longer in patients who have HAV, but appears shorter due to its medial displacement, which creates a greater first intermetatarsal angle.

Our results demonstrate that the larger the difference between the LDC and LDL PPH, the greater the possibility to develop an HAV deformity. Importantly, we determined that females have a shorter first metatarsal compared to males, smaller differences of LDM and LDL PPH, indicating a lower possibility to develop HAV. Here, we evaluated a new measurement that has the potential to be used to determine the risk for developing HAV.

Limitations

Our measurements showed a very small error, but all of the measurements showed almost perfect reliability with ICC´s ranging from 0.94 to 1.00, with no systematic error between the first and second measurements. The hallux valgus angle and geometry of the PPH and metatarsal bone are measured from dorsoplantar radiographic images in a clinical setting. This could introduce an error caused by evaluating a three-dimensional deformity with a two-dimensional radiographic tool. However, this is the same approach used to evaluate HAV in the clinical setting. Perhaps a cadaveric study would clarify this issue. Additionally, all measurements were performed in a Caucasian population, which could potentially influence the results, so increasing the ethnic diversity of the study participants is important to determine geometrical differences. Although radiographs were calibrated using the software, potential limitations of a reliability study could be due to a human error in placing the markers on the X-ray that can influence the readings obtained from the computer measuring software, but this study was performed as in clinical settings.

Conclusion

We postulate that it is more suitable to measure the LDM PPH instead of the LDC PPH when calculating the hallux valgus angle based on our reliability findings. When the differences of the medial and lateral PPH are greater, the risk for developing HAV increases in males and females.

Therefore, in men in with the morphology of the PPH, the LDL PPH are shorter, producing a difference with the LDM PPH, resulting a DIF LDM-LDL PPH ≥ 2.81mm and a predisposition to a HAV deformity. Females with the shorter LDM PPH resulting a DIF LDM-LDL PPH of ≥ 2.90 mm are predisposed to a HAV deformity. Comparing the total population with and without HAV, when the LDM PPH and LDL PPH results with a DIF LDM-LDL PPH of ≥ 2.81 mm, results in a predisposing risk factor to develop HAV deformity.

Similarly, men with HAV at the first metatarsal have an LDL M longer compared to men without HAV. Further, females with HAV had a longer first metatarsal bone in the three measured aspects (LDM, LDC and DL M) compared to women without HAV. Thus, morphology might be a factor in the formation of HAV, for both men and women.

Acknowledgments

The authors gratefully acknowledge the support of the Ministry of Economy and competitiveness of the Government of Spain through the project DPI2013-44987-R

Data Availability

All data analyzed for this paper are publicly archived at Figshare (https://dx.doi.org/10.6084/m9.figshare.4109631).

Funding Statement

The authors gratefully acknowledge the support of the Ministry of Economy and competitiveness of the Government of Spain through the project DPI2013-44987-R.

References

  • 1.Kilmartin TE, Barrington RL, Wallace WA. A controlled prospective trial of a foot orthosis for juvenile hallux valgus. J Bone Joint Surg Br. 1994. March;76(2):210–4. [PubMed] [Google Scholar]
  • 2.Coughlin MJ, Thompson FM. The high price of high-fashion footwear. Instr Course Lect. 1995. January;44:371–7. [PubMed] [Google Scholar]
  • 3.Coughlin MJ. Hallux valgus. Instr Course Lect. 1997. January;46:357–91. [PubMed] [Google Scholar]
  • 4.Dykyj D. Pathologic anatomy of hallux abducto valgus. Clin Podiatr Med Surg. 1989. January;6(1):1–15. [PubMed] [Google Scholar]
  • 5.Nix S, Smith M, Vicenzino B. Prevalence of hallux valgus in the general population: a systematic review and meta-analysis. J Foot Ankle Res. 2010. January;3:21 10.1186/1757-1146-3-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kato T, Watanabe S. The etiology of hallux valgus in Japan. Clin Orthop Relat Res. 1981. June;(157):78–81. [PubMed] [Google Scholar]
  • 7.Sim-fook L, Hodgson AR. A comparison of foot forms among the non-shoe and shoe-wearing Chinese population. J Bone Joint Surg Am. 1958. October;40-A(5):1058–62. [PubMed] [Google Scholar]
  • 8.Johnston O. Further studies of the inheritance of hand and foot anomalies. Clin Orthop. 1956. January;8:146–60. [PubMed] [Google Scholar]
  • 9.Wu KK. Mitchell bunionectomy: an analysis of four hundred and thirty personal cases plus a review of the literature. J Foot Surg. 1987. January;26(4):277–92. [PubMed] [Google Scholar]
  • 10.Hardy RH, Clapham JCR. Observations on hallux valgus; based on a controlled series. J Bone Joint Surg Br. 1951. August;33-B(3):376–91. [DOI] [PubMed] [Google Scholar]
  • 11.Lundberg BJ, Sulja T. Skeletal parameters in the hallux valgus foot. Acta Orthop Scand. 1972. January;43(6):576–82. [DOI] [PubMed] [Google Scholar]
  • 12.Mann RA, Coughlin MJ. Hallux valgus—etiology, anatomy, treatment and surgical considerations. Clin Orthop Relat Res. 1981. June;(157):31–41. [PubMed] [Google Scholar]
  • 13.Shimazaki K, Takebe K. Investigations on the origin of hallux valgus by electromyographic analysis. Kobe J Med Sci. 1981. August;27(4):139–58. [PubMed] [Google Scholar]
  • 14.Root ML, Orien WP, Weed JH. Normal and Abnormal Function of the Foot. Clinical Biomechanics Corp., Los Angeles, CA,. 1977. p. 478 [Google Scholar]
  • 15.Heden RI, Sorto LA. The Buckle point and the metatarsal protrusion’s relationship to hallux valgus. J Am Podiatry Assoc. 1981. April;71(4):200–8. 10.7547/87507315-71-4-200 [DOI] [PubMed] [Google Scholar]
  • 16.Munuera P V, Polo J, Rebollo J. Length of the first metatarsal and hallux in hallux valgus in the initial stage. Int Orthop. 2008. August;32(4):489–95. 10.1007/s00264-007-0350-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tanaka Y, Takakura Y, Kumai T, Samoto N, Tamai S. Radiographic analysis of hallux valgus. A two-dimensional coordinate system. J Bone Joint Surg Am. 1995. February;77(2):205–13. [DOI] [PubMed] [Google Scholar]
  • 18.Bryant A, Tinley P, Singer K. A comparison of radiographic measurements in normal, hallux valgus, and hallux limitus feet. J Foot Ankle Surg. January;39(1):39–43. [DOI] [PubMed] [Google Scholar]
  • 19.Mancuso JE, Abramow SP, Landsman MJ, Waldman M, Carioscia M. The zero-plus first metatarsal and its relationship to bunion deformity. J Foot Ankle Surg. January;42(6):319–26. 10.1053/j.jfas.2003.09.001 [DOI] [PubMed] [Google Scholar]
  • 20.Viladot A. Metatarsalgia due to biomechanical alterations of the forefoot. Orthop Clin North Am. 1973. January;4(1):165–78. [PubMed] [Google Scholar]
  • 21.Laporta G, Melillo T, Olinsky D. X-ray evaluation of hallux abducto valgus deformity. J Am Podiatry Assoc. 1974. August;64(8):544–66. 10.7547/87507315-64-8-544 [DOI] [PubMed] [Google Scholar]
  • 22.Laporta DM, Mellito TV HV. Preoperative Assessment in Hallux Valgus. In: Hetherington VJ, editor. New York: Churchill Livingstone; 1994. p. 107–23. [Google Scholar]
  • 23.Bonney G, Macnab I. Hallux valgus and hallux rigidus; a critical survey of operative results. J Bone Joint Surg Br. 1952. August;34-B(3):366–85. [DOI] [PubMed] [Google Scholar]
  • 24.Coughlin MJ. Roger A. Mann Award. Juvenile hallux valgus: etiology and treatment. Foot ankle Int. 1995. November;16(11):682–97. [DOI] [PubMed] [Google Scholar]
  • 25.Giannestras NJ. Hallux Valgus y hallux rigidus In: Giannestras NJ, editor. Trastornos del pie. Barcelona: Salvat Editores; 1979. p. 345–401. [Google Scholar]
  • 26.Roukis TS, Weil LS, Landsman AS . Predicting articular erosion in hallux valgus: clinical, radiographic, and intraoperative analysis. J Foot Ankle Surg. 2005. January;44(1):13–21. 10.1053/j.jfas.2004.11.012 [DOI] [PubMed] [Google Scholar]
  • 27.Munuera P V, Domínguez G, Castillo JM. Radiographic study of the size of the first metatarso-digital segment in feet with incipient hallux limitus. J Am Podiatr Med Assoc. 2007. January;97(6):460–8. [DOI] [PubMed] [Google Scholar]
  • 28.Camasta CA, Pontious J, Boyd RB. Quantifying magnification in pedal radiographs. J Am Podiatr Med Assoc. 1991. October;81(10):545–8. 10.7547/87507315-81-10-545 [DOI] [PubMed] [Google Scholar]
  • 29.Steel MW, Johnson KA, DeWitz MA, Ilstrup DM. Radiographic measurements of the normal adult foot. Foot Ankle. 1980. November;1(3):151–8. [DOI] [PubMed] [Google Scholar]
  • 30.Tanaka Y, Takakura Y, Takaoka T, Akiyama K, Fujii T, Tamai S. Radiographic analysis of hallux valgus in women on weightbearing and nonweightbearing. Clin Orthop Relat Res. 1997. March;(336):186–94. [DOI] [PubMed] [Google Scholar]
  • 31.Ferrari J, Hopkinson DA, Linney AD. Size and shape differences between male and female foot bones: is the female foot predisposed to hallux abducto valgus deformity? J Am Podiatr Med Assoc. 2004. Sep-Oct;94(5):434–52. [DOI] [PubMed] [Google Scholar]
  • 32.Becerro de Bengoa Vallejo R, Losa Iglesias ME, Jules KT. Tendon Insertion at the Base of the Proximal Phalanx of the Hallux: Surgical Implications. J Foot Ankle Surg. 2012. November;51(6):729–33. 10.1053/j.jfas.2012.06.004 [DOI] [PubMed] [Google Scholar]
  • 33.Morales-Orcajo E, Bayod J, Becerro-de-Bengoa-Vallejo R, Losa-Iglesias M, Doblare M. Influence of first proximal phalanx geometry on hallux valgus deformity: a finite element analysis. Med Biol Eng Comput. 2015. July;53(7):645–53. 10.1007/s11517-015-1260-4 [DOI] [PubMed] [Google Scholar]
  • 34.Herring JA. Tachdjian’s Pediatric Orthopaedics: From the Texas Scottish Rite Hospital for Children. Elsevier Health Sciences; 2013. 1696 p. [Google Scholar]
  • 35.Lelièvre J, Lelièvre JF. Patología del pie: fisiología clínica: tratamientos médico, ortopédico y quirúrgico Barcelona: Masson; 1982. 1–6 p. [Google Scholar]
  • 36.Coughlin Michael J. MD, Mann Roger A. MD, Saltzman Charles L. MD: Surgery of the Foot and Ankle, 2nd vol. 9th edition Health Sciences Division, United States, 2014. p. 1546 [Google Scholar]
  • 37.Smith RW, Reynolds JC, Stewart MJ. Hallux valgus assessment: report of research committee of American Orthopaedic Foot and Ankle Society. Foot Ankle. 1984. September;5(2):92–103. [DOI] [PubMed] [Google Scholar]
  • 38.Coughlin MJ, Saltzman CL, Nunley JA. Angular measurements in the evaluation of hallux valgus deformities: a report of the ad hoc committee of the American Orthopaedic Foot & Ankle Society on angular measurements. Foot ankle Int. 2002. January;23(1):68–74. [DOI] [PubMed] [Google Scholar]
  • 39.Christman RA, Flanigan KP, Sorrento DL, Stanich CC. Radiographic analysis of metatarsus primus elevatus: a preliminary study. J Am Podiatr Med Assoc. 2001. June;91(6):294–9. [DOI] [PubMed] [Google Scholar]
  • 40.Ellis VH. A method of correcting metatarsus primus varus; preliminary report. J Bone Joint Surg Br. 1951. August;33-B(3):415–7. [DOI] [PubMed] [Google Scholar]
  • 41.McCrea JD, Clark WD, Fann T, Venson J, Jones CL. Effects of radiographic technique on the metatarsophalangeal joints. J Am Podiatry Assoc. 1977. December;67(12):837–40. 10.7547/87507315-67-12-837 [DOI] [PubMed] [Google Scholar]
  • 42.Saltzman CL, Brandser EA, Berbaum KS, DeGnore L, Holmes JR, Katcherian DA, et al. Reliability of standard foot radiographic measurements. Foot ankle Int. 1994. December;15(12):661–5. [DOI] [PubMed] [Google Scholar]
  • 43.Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979. March;86(2):420–8. [DOI] [PubMed] [Google Scholar]
  • 44.Bonett DG. Sample size requirements for estimating intraclass correlations with desired precision. Stat Med. 2002. May 15;21(9):1331–5. 10.1002/sim.1108 [DOI] [PubMed] [Google Scholar]
  • 45.Park MS, Kim SJ, Chung CY, Choi IH, Lee SH, Lee KM. Statistical consideration for bilateral cases in orthopaedic research. J Bone Joint Surg Am. 2010. July 21;92(8):1732–7. 10.2106/JBJS.I.00724 [DOI] [PubMed] [Google Scholar]
  • 46.Lee KM, Ahn S, Chung CY, Sung KH, Park MS. Reliability and relationship of radiographic measurements in hallux valgus. Clin Orthop Relat Res. 2012. September;470(9):2613–21. 10.1007/s11999-012-2368-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Rankin G, Stokes M. Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses. Clin Rehabi. 1998. June;12(3):187–99. . [DOI] [PubMed] [Google Scholar]
  • 48.Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977. March;33(1):159–74. [PubMed] [Google Scholar]
  • 49.Bruton A, Conway JH, Holgate ST. Reliability: What is it, and how is it measured? Physiotherapy. 2000. February 1;86(2):94–9. 10.1016/S0031-9406(05)61211-4 [DOI] [Google Scholar]
  • 50.Atkinson G, Nevill AM. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med. 1998. October;26(4):217–38. [DOI] [PubMed] [Google Scholar]
  • 51.Gottschalk FA, Sallis JG, Beighton PH, Solomon L. A comparison of the prevalence of hallux valgus in three South African populations. S Afr Med J. 1980. March 8;57(10):355–7. [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

All data analyzed for this paper are publicly archived at Figshare (https://dx.doi.org/10.6084/m9.figshare.4109631).


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