| Systematic review: Enhancing Breast cancer-related lymphoedema_ Management with Complete Decongestive Therapy and AI-Driven Physical Therapy Innovations |
| Paper ID : 1071-ISCSR3 (R1) |
| Authors |
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Amr Osama Sayed *, Rawan Abdellatif Mahmoud, Reem Omar Mohamed, Hager Abdelaal Mahmoud, Basmala Yasser Saeed, Bossy Walid Mahmoud Faculty of Physical Therapy, Helwan National University |
| Abstract |
| Background: breast cancer-related lymphedema (BCRL) affects 30-50% of patients’ post-axillary lymph node dissection.Rehabilitation,Complete Decongestive Therapy (CDT),and artificial intelligence (Al) are cornerstones of management.This review evaluates current evidence and future directions. Objectives: Primary Objectives:Postpone the onset of breast cancer-related lymphedema (BCRL) through: patient training,rehabilitation,and skin care,Compare non-surgical as compression therapy &lymphatic massage and surgical approaches as veno-lymphatic anastomosis&lymph node transplantation in handling post-mastectomy lymphedema. Secondary Objectives:Define post-mastectomy lymphedema by:causes,manifestations,and guidelines. Methods: Studies from PubMed Central,Frontiers in Oncology,CochraneReviews, oncology,integration of data. 1. Electrotherapy for cancer:(inclusion&exclusion criteria) Inclusion: electrotherapy dealing with cancer(asIRE,TTFields,Electrochemotherapy) Exclusion:unproven studies that are not related to electrification have been excluded. Outcomes:The efficacy of IRE in destroying cancer cells, immunostimulation, electro-nanotechnology as TENG,improved survival and reduced complications. 2. Al&Lymphedema(inclusion&exclusion criteria) Inclusion:the studies applying Al in diagnosis,and treatment. Exclusion:editorials,reviews,abstract-only papers. Outcomes:AI detect lymphedema with >90% aaccuracy,use ML to identify risk of infection,guide qualifying exercises using AI. 3. AI in Breast Cancer Diagnosis:(inclusion&exclusion criteria) Inclusion and exclusion criteria are incompletely explained,but include clinical and practical applications. Outcomes:AI Improves early detection accuracy in radiography and mammogram,support in treatment decisions by analytical data from images and tissues. 4. AI in Medical Imaging:(inclusion&exclusion criteria) Inclusion:Articles on AI and medical imaging from 2017 onwards Exclusion:incomplete or indirectly related to medical imaging Outcomes:AI improves the accuracy of diagnosis,use CNNs and Transformers in analyzing radiation images with high resolution. Results: Non-surgical interventionsparticularly Complete Decongestive Therapy (CDT),show significant effectiveness in improving functional capacity Aquatic therapy,according to 2024 study in Lymphatic Research,offers a safe approach by utilizing hydrostatic pressure to reduce lymphatic swelling. According to 2025 studies from Germany and Edinburgh,AI achieved 90–100% accuracy in detecting Stage 1 lymphedema. Early detection using advanced tool and integration of both physical and technological components. Conclusion: Complete decongestive therapy,Integrating AI,PT and surgery optimizes outcomes,minimizes risks . |
| Keywords |
| breast cancer-related lymphedema, complete decongestive therapy, Artificial intelligence, physical therapy, early detection. |
| Status: Abstract Accepted |