Evaluation of nursing effects of pelvic floor muscle rehabilitation exercise on gastrointestinal tract rectal cancer patients receiving anus-preserving operation by intelligent algorithm-based magnetic resonance imaging
Open accessAbstract
Based on magnetic resonance imaging (MRI) technology under artificial intelligence algorithm, the postoperative nursing effects of pelvic floor muscle rehabilitation exercise on gastrointestinal tract rectal cancer (RC) patients were investigated. A total of 88 patients receiving RC anus‐preserving surgery in hospital were selected. The included patients were divided randomly into the experimental group (44 cases) and the control group (44 cases). Patients in the control group engaged in Kegel motion, while patients in the experimental group underwent self‐designed comprehensive pelvic floor training. Anorectum function rating scale and quality of life questionnaire for colorectal cancer (EORTC QLQ‐CR29) were utilized to compare and analyze anus functions and living quality of patients in the two groups. Besides, all patients in two groups received MRI examinations, and images were processed by a convolutional neural network (CNN) algorithm. The results showed that in MRI images, there were significant signal differences between lesion tissues and normal tissues. After being processed by an artificial intelligence algorithm, the definition of MRI images was remarkably enhanced with clearer lesion edges. The quality of images was also significantly improved. Besides, the comparison of anus functions of patients in two groups showed that the differences demonstrated statistical meaning after the intervention ( P < 0.05). In conclusion, artificial intelligence algorithm‐based MRI and comprehensive pelvic floor muscle exercise showed significant application prospects and values in the recovery of patients’ intestinal functions after RC anus‐preserving surgery.
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The 18 included studies were rated as having a moderate risk of bias.
“Overall, the 18 studies were rated as having a moderate risk of bias (29–48).”
From Artificial intelligence in nursing: an integrative review of clinical and operational impacts (2025) · cites this paper as [29]
Zhang et al. (29) utilized AI-enhanced MRI in pelvic floor muscle rehabilitation for rectal cancer patients, resulting in improved image clarity and diagnostic precision.
“In the realm of therapeutic interventions, Zhang et al. (29) utilized AI-enhanced MRI in pelvic floor muscle rehabilitation for rectal cancer patients, resulting in improved image clarity and diagnostic precision.”
From Artificial intelligence in nursing: an integrative review of clinical and operational impacts (2025) · cites this paper as [29]
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Artificial intelligence in nursing: an integrative review of clinical and operational impacts
Hassanein, S., El Arab, R. A., Abdrbo, A., Abu-Mahfouz, M. S., Gaballah, M. K. F., Seweid, M. M., Almari, M., & Alzghoul, H. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1552372 · Cited by 134 · see citing works
- Authors
- Zhang, L., & Wang, F.
- Affiliations
- Shanxi Medical University (CN)
- Shanxi Provincial Children's Hospital (CN)
- Corresponding author
- Wang, Feng
- Venue
- Contrast Media & Molecular Imaging
- Publisher
- Wiley
- Published
- 2022-01
- Volume
- 2022
- Issue
- 1
- Pages
- 1613632-1613632
- ISSN
- 1555-4309 (ISSN-L)
- 1555-4317
- PMC
- PMC9135567
- OpenAlex
- W4280611290
- Cited by
- 13
- References
- 26
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 2 · 2023: 3
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Contrast Media & Molecular Imaging (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Health Sciences › Medicine › Rheumatology › Pelvic floor disorders treatments
- Health Sciences › Medicine › Surgery › Enhanced Recovery After Surgery
- Keywords
- rectal cancer, anus-preserving surgery, pelvic floor muscle rehabilitation, pelvic floor muscle training, postoperative nursing care, convolutional neural networks, image enhancement, anorectal function, quality of life, gastrointestinal function recovery
- MeSH terms
- Algorithms, Anal Canal, Artificial Intelligence, Exercise Therapy, Gastrointestinal Neoplasms, Humans, Magnetic Resonance Imaging, Quality of Life, Rectal Neoplasms, Pelvic Floor
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