Objectives: The efficacy of using a single electrical or magnetic stimulation for treating pelvic floor dysfunction is limited. This study aims to investigate the efficacy of radiofrequency combined with magnetic stimulation treatment for mild to moderate pelvic organ prolapse.
Methods: Patients who completed the treatment in the Third Xiangya Hospital, Central South University were screened, and were divided into 2 groups based on different treatment plans. There were 28 patients who completed magnetic stimulation therapy (the magnetic stimulation therapy group) and 21 patients who completed radiofrequency combined with magnetic stimulation therapy (the combined treatment group). The pelvic organ prolapse quantitation (POP-Q), pelvic floor muscle strength, and pelvic floor ultrasound results were analyzed to assess the efficacy before and after the treatment in both groups, and the POP-Q results of 3 months after the treatment were used to evaluate the maintenance effect of the treatment mode.
Results: The POP-Q evaluation results of Aa, Ap, and C points after the treatment in both groups were better than those before the treatment, with statistical significance (all <0.05). The Aa point POP-Q result of the combined treatment group was better than that of the magnetic stimulation therapy group, with statistical significance (<0.05). Pelvic floor ultrasound evaluation showed that the bladder neck position during the valsalva maneuver in the combined treatment group was higher than that in the magnetic stimulation treatment group, with statistical significance (<0.05). The persistence effect of the combined treatment group was long better than that of the magnetic stimulation treatment group, with significant statistical significance (<0.01).
Conclusions: The combined treatment is more effective and has a longer lasting effect than single magnetic stimulation treatment.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10929959 | PMC |
http://dx.doi.org/10.11817/j.issn.1672-7347.2023.230070 | DOI Listing |
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Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Japan.
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