The multifid muscle forms the second layer of the deep dorsal muscles and occupies all stages of the spine with a more pronounced enlargement at the lumbo-sacral level [1] [2] [3] . Functionally, it is a spine extender especially at the lumbar level. It plays a major role in the stability of the spine and in the axial rotation of the thoracic-lumbar spine in conjunction with the transverse muscle of the abdomen [4] . Recent work has found it to be a contributing factor in the occurrence of common low back pain [4] [5] which is characterized by the heterogeneity of structural abnormalities, changes in underlying functions, personal and environmental factors [5] . The lumbar multifid is the focus of several interventional or observational studies [6] [7] [8] . Work on MRI scans has recently shown that the lumbar multifid is weaker and less voluminous in low back pain patients compared to people with low back pain [7] [9] . Would this involution of the trophicity of the multifidus, materialized by the fatty infiltration, play a role in the achievement of the discovertebral elements during low back pain? If yes, the visualization of his atrophy by ultrasound or other imaging technique, could be a predictor of low back pain [10] .

There is little detailed description of this muscle in the anatomical literature, and local data are even rarer. This anatomical ignorance means that the multifidus muscle is a big forgotten in the imaging interpretation rooms but also in rehabilitation and management of low back pain [6] , and yet maintaining her anatomy would help improve lower back pain that has become a public health problem in Senegal [11] .

The purpose of our work was to investigate the impact of multifidus muscle morphometry on the anatomy-clinical evolution of low back pain.

According to Hadar [13] , imaging is an advantageous way of studying in vivo and non-invasive muscles, it has accessibility and a better perception of fatty atrophy. Our study agrees with the latter’s conclusions by showing that CT can be the reference examination in the search for disc degeneration and fatty involution of multifidus muscle. In addition, it is widely used in the identification of back muscles [14] . Indeed, of the 100 patients selected, it allowed to evaluate these two constants. This was the case with Hadar’s 1983 study, which combined fat involution and muscle atrophy [13] . DEMOULIN et al. who have worked with ultrasound join us because, for them, ultrasound can be used for the study of muscles but it has limits for the measurement of width. It also does not allow an exact measurement of the density and hardly locates the vertebral level with low reproducibility [15] . There is also MRI which is very efficient especially with soft parts that can facilitate many measurements common or not with the scanner. It was used by Kader to change the Hadar classification with an inter-observer correlation of 0.86 to 0.99 versus 0.70 to 0.81 on the scanner [16] .

Even if imaging is an attractive means of study for the muscle because of its ease of implementation, commonly performed and reproducible, remember that the characteristics of the muscles in imaging are not perfectly correlated to their strength, and let us not forget the other means of studying the muscles that allow a direct measurement of their strength, possibly more relevant for evaluating the proper functioning of the muscles [12] . GOUTALLIER's study takes into account muscle mass in particular with a limit on the exact quantification of fat [13] . Thus, using 3D SLICER, we were able to calculate muscle volume before and after physiotherapy significantly. This is a software that has the advantage of taking into account several parameters.

After 10 to 15 sessions of kinesia, the p-value remains statistically significant and is 0.04 in L5/S1 and not significant in L4/L5 (0.94 p-value) hence a positive influence of muscle strengthening on the volume.

Other authors such as Fukunaga T [17] conclude that muscle strength is linearly related to the area of physiological section that is obtained from muscle volume divided by fibre length using MRI images. He used the same methods as us on two MRI and CT modalities. Kim and al had [14] reported the measurement reliability and potential benefit of MRI that does not use ionizing radiation and also allows dynamic computation. He has access to his study on the correlation between geniohyoidian and digastric muscle atrophy during dysphagia. Figueiredo and al. [18] join us in strengthening by favoring the training that he considers to be the most effective method to increase muscle mass that has many health benefits. Although it is considered safe and clinically relevant for the treatment and prevention of many of the diseases, however, the majority of available evidence supports a clear dose-response relationship between the resistance training volume in order to obtain an efficient result [16] . However, contrary to the calculation of muscle volume, the literature offers few results.

For fat, Paris Institute of Myology, [19] uses methods based on the chemical shift difference between water and fat protons are currently the reference approaches to quantify and evaluate fat infiltration in muscle tissues with T1 values that are also strongly affected when healthy muscles are replaced chronically by fat. This is often used for diagnostic purposes by classifying T1-weighted images with the Mercury Lamminen scale but also in the 3D slicer which remains a quick method of determining volumes [20] .

Similarly, Holzbaur and Al. [20] add that muscle strength-generating properties are often derived from cadaveric studies of muscle architecture. While the clinical application is dynamic hence the interest of using magnetic resonance imaging, they worked on the muscles of the upper limbs and their respective distribution

In our population the average age was 45 years ± 7 and extremes 32 and 65 years. These results are in the same order of magnitude as those found by Cosmin [8] and Kim et al. [14] with an average age of 46.2 and 47.2. These two averages are included in the age range [40, 50[. The results of Cherin who worked on a larger sample, go in the same direction with a larger interval ([30 - 64[) including our age group [21] .

The average age of onset of relatively advanced low back pain may be explained by a linear increase in the third decade with a peak around age 50 [22] . So low back pain is not normally, the prerogative of the elderly but its frequency its duration and especially the functional disability for which it is responsible increase with age. They are related to the degeneration of spinal structures that begins in the second decade of life but whose intensity is very different from one subject to another [10] .

Our male-dominated population with a sex ratio of 2.23 was in agreement with Cherin’s, who found a slightly higher sex ratio of 3.88 [21] . This male predominance could be explained by the inadequacy of the working environment vis-à-vis the personal abilities that affect men more in our society as in France. Thus, the male sex seems to be a predisposing factor in the occurrence of multifidus muscle atrophy, indeed there is a relationship between the static and the type of work [22] .

Regarding the main functional sign which is pain, our results showed a predominance of the severe intensity type with 86% before physiotherapy. They are similar to those of the literature [7] [9] , where the intensity of the pain is found but in different proportions according to its four groups indeed, these symptoms are variable from one patient to another and are not specifically correlated to disc degeneration [14] . However, there is a multitude of differential diagnoses that could correspond to low back pain [17] .

So we couldn’t make correlation between the severity of the pain and the degree of atrophy of the multifudus muscle, as was the case of some authors like [23] .

On the other hand, their etiologies would be represented by a sedentary lifestyle and reduced physical activity, which are often related to the overweight, weakness and atrophy of parasipinaux muci, particularly multifidus [23] . To this must be added an extension of the neurological inhibition of the lumbar multifid muscle following an injury in the lower back where dysfunction is a very common cause [24] . Because of these risk factors, lower back injuries and the incidence and severity of fatty atrophy of the lumbar multifidus muscle tend to be directly correlated with the duration of the symptoms of low back pain. Therefore, it is relevant to strengthen the multifidus muscle in synergy with other deficit muscles in most patients with low back pain. Indeed, to allow an exit from the deconditioning syndrome, it is conceivable to strengthen all the muscles affected by this physical disadaptation [5] . This reinforcement by physiotherapy allowed us an almost total eradication of pain with disappearance of components very severe, severe and average to leave room for only a slight pain for 12% of the population. It was the same with the work of which highlighted the importance of early recovery to act as quickly as possible [25] .

Fatty degeneration of the multifudus muscle into L4/L5 was predominant for grade 2 prior to physiotherapy and associated mostly a discrete overhang in 31% of the population. The complete discal debug was 37% also associated with grade 2. There was no statistically significant link p-value 0.93 between these two variables. In contrast to L5/S1, p-value was 0.03 with a statistically significant relationship. These results are consistent with those of Cosmin who used the cross-sectional surface method which is more widely used in for the surface in order to calculate the segmental muscle volume at L4/L5 and L5/S1 [7] . His findings were similar to those found in the literature [13] [25] .

The mechanism of occurrence of low back pain is intimately related to anatomical dysfunctions of the lumbar region with a particular emphasis on its main extensor and rotator which is the multifidus. Thus, the consideration of multifidus morphometry is an essential element in the management of chronic low back pain.

The authors declare no conflicts of interest regarding the publication of this paper.

Mar, N.B., Ndiaye, A., Diop, A.N., Diagne, G.S., Diao, B., Diao, S., Wade, R., Seck, I.D., Garba, K.Y., Thiam, S.A.G., Ndiaye, M., Gaye, M., Sakho, M.G., Ndoye, J.M.N., Diop, M., Ndiaye, A. and Ndiaye, A. (2023) Impact of Multifidus Muscle Morphometry on the Clinical Evolution of Chronic Low Back Pain. Forensic Medicine and Anatomy Research, 11, 1-13. https://doi.org/10.4236/fmar.2023.111001