The Effects of Extracorporeal Magnetic Innervation in the Treatment of Women with Urinary Incontinence: A Systematic Review

Strojek, Katarzyna; Strączyńska, Agnieszka; Radzimińska, Agnieszka; Weber-Rajek, Magdalena

doi:10.3390/jcm12175455

Cited by 2 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, clinical diagnosis primarily relies on the validated Oxford scale through manual examination, along with patient reported outcomes like UDI and FSFI questionnaires 39 – 41 .…”

Section: Results and Analysismentioning

confidence: 99%

Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction

Abdel Hady,

Abd El-Hafeez

2023

Sci Rep

View full text Add to dashboard Cite

Urinary incontinence (UI) is defined as any uncontrolled urine leakage. Pelvic floor muscles (PFM) appear to be a crucial aspect of trunk and lumbo-pelvic stability, and UI is one indication of pelvic floor dysfunction. The evaluation of pelvic tilt and lumbar angle is critical in assessing the alignment and posture of the spine in the lower back region and pelvis, and both of these variables are directly related to female dysfunction in the pelvic floor. UI affects a significant number of women worldwide and can have a major impact on their quality of life. However, traditional methods of assessing these parameters involve manual measurements, which are time-consuming and prone to variability. The rehabilitation programs for pelvic floor dysfunction (FSD) in physical therapy often focus on pelvic floor muscles (PFMs), while other core muscles are overlooked. Therefore, this study aimed to predict the activity of various core muscles in multiparous women with FSD using multiple scales instead of relying on Ultrasound imaging. Decision tree, SVM, random forest, and AdaBoost models were applied to predict pelvic tilt and lumbar angle using the train set. Performance was evaluated on the test set using MSE, RMSE, MAE, and R2. Pelvic tilt prediction achieved R2 values > 0.9, with AdaBoost (R2 = 0.944) performing best. Lumbar angle prediction performed slightly lower with decision tree achieving the highest R2 of 0.976. Developing a machine learning model to predict pelvic tilt and lumbar angle has the potential to revolutionize the assessment and management of this condition, providing faster, more accurate, and more objective assessments than traditional methods.

show abstract

“…Currently, clinical diagnosis primarily relies on the validated Oxford scale through manual examination, along with patient reported outcomes like UDI and FSFI questionnaires 39 – 41 .…”

Section: Results and Analysismentioning

confidence: 99%

Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction

Abdel Hady,

Abd El-Hafeez

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…One of them is extracorporeal magnetic innervation/stimulation (ExMI) therapy, which represents an alternative to pharmacological or surgical treatment of urinary incontinence [14]. It is a non-invasive, non-surgical treatment that stimulates pelvic floor muscles through the induction of an electric current with the aid of a magnetic field [15,16]. Most studies focus on its effect on treating stress urinary incontinence [16], but some authors have shown that it is as effective in treating urgency incontinence in female patients with OAB [5,17].…”

Section: Introductionmentioning

confidence: 99%

“…It is a non-invasive, non-surgical treatment that stimulates pelvic floor muscles through the induction of an electric current with the aid of a magnetic field [15,16]. Most studies focus on its effect on treating stress urinary incontinence [16], but some authors have shown that it is as effective in treating urgency incontinence in female patients with OAB [5,17]. Furthermore, with the adjacent magnetic stimulation of the sacral roots, symptoms of urinary frequency as well as urge incontinence can improve [18].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Extracorporeal Magnetic Stimulation as Addition to Mirabegron in Overactive Bladder Treatment in Women: A Single-Centre Randomized Sham-Controlled Study

Bele,

Serdinšek,

Homšak

et al. 2024

JCM

View full text Add to dashboard Cite

(1) Background: The purpose of our prospective, single-blinded, randomized, sham-controlled study was to investigate the effect of the additional extracorporeal magnetic stimulation (ExMI) to pharmacological treatment in overactive bladder syndrome (OAB) in women. (2) Methods: We recruited 56 women with OAB, who were allocated into two study groups: the active group received mirabegron 50 mg daily and a total of 16 sessions of ExMI in 8 weeks, whereas the sham group received mirabegron 50 mg daily and sham stimulation following the same treatment protocol. Treatment success was evaluated after 4 and 8 weeks. (3) Results: Both groups experienced significant reduction in daytime urinary frequency, nocturia, and number of weekly incontinence episodes after 8 weeks. There were no statistically significant differences in end-point daytime urinary frequency and nocturia between groups. However, the overall average reduction rate in weekly number of incontinence episodes was 43.7% in treatment group and 24.2% in the control group. The number of urinary incontinence episodes in the treatment and control group was reduced for 3.8 ± 11.8 vs. 2.5 ± 4.3 episodes at week 4 and additional 3.3 ± 6 vs. 0.4 ± 3.2 episodes at week 8, respectively (p = 0.013). Moreover, IIQ-7 score showed a significantly greater score reduction and patients’ evaluated improvement of symptoms was higher in the active group. (4) Conclusions: The addition of ExMI to mirabegron in OAB treatment further improves the weekly incontinence episode reduction rate and also leads to grater improvement in symptoms.

show abstract

The Effects of Extracorporeal Magnetic Innervation in the Treatment of Women with Urinary Incontinence: A Systematic Review

Cited by 2 publications

References 21 publications

Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction

Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction

The Impact of Extracorporeal Magnetic Stimulation as Addition to Mirabegron in Overactive Bladder Treatment in Women: A Single-Centre Randomized Sham-Controlled Study

Contact Info

Product

Resources

About