Breast Cancer Clinical Trial
— UPLIFT-BCOfficial title:
Identifying Prognostic Variables for Persistent Upper Limb Dysfunctions After Breast Cancer Treatment: Longitudinal Cohort Study
Breast cancer is the most frequently occurring cancer, assuming that it accounts for 29% of all new cancers in women (European Cancer Information System). The number of long-term survivors is increasing rapidly due to improving accuracy of the detecting methods, the early diagnosis and advances in cancer treatment. The International Consortium for Health Outcomes Measurement Initiative described upper limb (UL) function as the health outcome that matters most for breast cancer survivors (BCS). 50% of BCS at 6 months post-radiotherapy suffer from of decreased UL function, i.e. difficulties in performing activities of daily living with the upper limb. Patients experiencing UL dysfunctions and other problems are less likely to be physically active. Given that physical inactivity is associated with an increased risk of mortality after breast cancer, taking away the barriers to physical activity (e.g. UL dysfunctions) is very important. Identifying these factors contributing to chronic UL dysfunction is important in terms of identifying targets for prospective evaluation and specific treatment approaches at specific time points during breast cancer treatment. This study aims to find reliable and valid assessment methods for the prognostic factors and upper limb function itself in a small group of BCS and healthy volunteers.
Status | Recruiting |
Enrollment | 150 |
Est. completion date | February 2025 |
Est. primary completion date | February 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria for breast cancer patients - Patients scheduled for surgery (mastectomy or breast conserving surgery; in combination with axillary lymph node dissection or sentinel node biopsy) for unilateral primary breast cancer or patients with oligometastatic breast cancer. - Patients who receive adjuvant radiotherapy . - Patients with a cognitive and language functioning enabling coherent Dutch communication between the examiner and the participant - Patients who can comply with the protocol at baseline assessment and willing to provide written informed consent Inclusion criteria healthy volunteers - Healthy women and men(quickDASH<15) age- and gender-matched with a breast cancer patient from the main study - Volunteers who can comply with the protocol at baseline assessment and willing to provide written informed consent Exclusion Criteria breast cancer patients - BCS with widespread distance metastases, previous breast surgery, or planned bilateral surgery - And/or with a diagnosis of a neurological or rheumatological condition, diabetes, - And/or BCS who are not available the entire duration of the study Exclusion Criteria healthy volunteers - History of breast cancer - Patients with a diagnosis of neurological or rheumatological condition, diabetes |
Country | Name | City | State |
---|---|---|---|
Belgium | Universitair Ziekenhuis Leuven | Leuven |
Lead Sponsor | Collaborator |
---|---|
KU Leuven | Universitaire Ziekenhuizen KU Leuven, Vrije Universiteit Brussel |
Belgium,
De Groef A, Van der Gucht E, Dams L, Evenepoel M, Teppers L, Toppet-Hoegars J, De Baets L. The association between upper limb function and variables at the different domains of the international classification of functioning, disability and health in women after breast cancer surgery: a systematic review. Disabil Rehabil. 2022 Apr;44(8):1176-1189. doi: 10.1080/09638288.2020.1800835. Epub 2020 Aug 8. — View Citation
De Groef A, Van Kampen M, Vervloesem N, De Geyter S, Dieltjens E, Christiaens MR, Neven P, Geraerts I, Devoogdt N. An evaluation tool for myofascial adhesions in patients after breast cancer (MAP-BC evaluation tool): Development and interrater reliability. PLoS One. 2017 Jun 9;12(6):e0179116. doi: 10.1371/journal.pone.0179116. eCollection 2017. — View Citation
Kilbreath SL, Refshauge KM, Beith JM, Ward LC, Lee M, Simpson JM, Hansen R. Upper limb progressive resistance training and stretching exercises following surgery for early breast cancer: a randomized controlled trial. Breast Cancer Res Treat. 2012 Jun;133(2):667-76. doi: 10.1007/s10549-012-1964-1. — View Citation
Lum PS, Shu L, Bochniewicz EM, Tran T, Chang LC, Barth J, Dromerick AW. Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method. Neurorehabil Neural Repair. 2020 Dec;34(12):1078-1087. doi: 10.1177/1545968320962483. Epub 2020 Nov 5. — View Citation
Yang EJ, Park WB, Seo KS, Kim SW, Heo CY, Lim JY. Longitudinal change of treatment-related upper limb dysfunction and its impact on late dysfunction in breast cancer survivors: a prospective cohort study. J Surg Oncol. 2010 Jan 1;101(1):84-91. doi: 10.1002/jso.21435. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Reliability of measurements with MyotonPro | Inter- and intra-rater reliability will be tested. The MyotonPRO assessment for soft-tissue stiffness and elasticity will take place at the pectoralis major, upper trapezius, infraspinatus and teres major region, from which a mean stiffness index (N/m) will be calculated. approximately 1 week between test & retest |
1 week | |
Primary | Validity of the evaluation tool for Myofascial Adhesions in Patients after Breast Cancer | The validity of the evaluation tool for Myofascial Adhesions in Patients after Breast Cancer (MAP-BC evaluation tool), developed during PhD project of Prof. An De Groef will be investigated. This clinical assessment tool consists of the assessment of soft-tissue adhesion at 7 locations at the upper limb region: axillary and breast region scars, pectoral region, axilla, frontal chest wall, lateral chest wall and the inframammary fold. At each location, the degree of the adhesions will be scored at three levels (skin, superficial and deep) on a 4-point scale (between no adhesions and very stiff adhesions). results will be compared with the results of the Myoton pro. approximately 1 week between test & retest |
1 week | |
Primary | Validity of palpation for general stiffness | Palpation for general tissue stiffness scored on a Linkert Scale (0-5) at the different locations will be explored and the sum of total score of all locations will be calculated (0-35). results will be compared with the results of the Myoton pro. approximately 1 week between test & retest |
1 week | |
Primary | Reliability for the assessment of movement functions | The reliability of goniometer, digital goniometer (EasyAngle®, Meloq AB, Stockholm) and inclinometer will be assessed for the following tasks: shoulder abduction, flexion, external rotation, and the ULIFT functional task. The inertial sensors are easy to use in daily practice, portable but come with a high cost in comparison to a goniometer, digital goniometer or inclinometer. The scapular movement assessment of the inertial sensors will be compared with the results of the inclinometer and digital goniometer. The glenohumeral movements will be compared with the results of the goniometer, digital goniometer and inclinometer. approximately 1 week between test & retest |
1 week | |
Primary | Construct validity for the assessment of movement functions | The validity of goniometer, digital goniometer (EasyAngle®, Meloq AB, Stockholm) and inclinometer will be assessed for the following tasks: shoulder abduction, flexion, external rotation, and the ULIFT functional task. The inertial sensors are easy to use in daily practice, portable but come with a high cost in comparison to a goniometer, digital goniometer or inclinometer. The scapular movement assessment of the inertial sensors will be compared with the results of the inclinometer and digital goniometer. The glenohumeral movements will be compared with the results of the goniometer, digital goniometer and inclinometer. approximately 1 week between test & retest |
1 week | |
Primary | Validity of machine learning model for Upper limb functioning from ActiGraph sensors for breast cancer survivors | The accelerometer to evaluate upper limb functioning will be validated against video annotated data as proposed by Lum and colleagues. Established methods use a machine learning pipeline to accurately and automatically recognize functional upper limb activities from accelerometer data in healthy subjects. These models will be evaluated against video annotated data to assess accuracy and correlation for our subsample of breast cancer survivors. approximately 1 week between test & retest |
1 week | |
Primary | Validity of the use of hot/cold tubes for temperature sensations | Hot/cold tubes will be used for the cold and heat detection, but to validate this assessment method is will be compared with thermorollers. approximately 1 week between test & retest |
1 week | |
Primary | Validity of the assessment of upper limb activities through accelerometry | The accelerometer will be used as comparable sign and dependent variable to evaluate the upper limb function to capture the 'activity and participation level' of the ICF model. approximately 1 week between test & retest |
1 week | |
Primary | Validity of the assessment of upper limb activities: quickDASH | The quickDASH will be used as comparable sign and dependent variable to evaluate the upper limb function to capture the 'activity and participation level' of the ICF model. The QuickDASH is a shortened version of the DASH Outcome Measure. The QuickDASH uses 11 items to measure physical function and symptoms in people with any or multiple musculoskeletal disorders of the upper limb. The resultant score is reported on a scale of 0 to 100, where 0 represents no disability and 100 represents total disability approximately 1 week between test & retest |
1 week |
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