MétaCan
Menu
Back to cohort
Record W2607070724

Quantifying and predicting upper limb capability and dysfunction of breast cancer survivors

2014· dissertation· en· W2607070724 on OpenAlexaboutno aff
Rebecca L. Brookham

Bibliographic record

VenueUWSpace (University of Waterloo) · 2014
Typedissertation
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerMedicineCancerOncologyPhysical medicine and rehabilitationInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Breast cancer will affect one in every nine Canadian women during their lifetime. As diagnostic and treatment methods improve, survival rates are approaching 90%. However, an alarming 30-82% of survivors suffer from persistent upper limb morbidity as a result of their cancer treatments (Kwan, Jackson, Weir, Dingee, McGregor, & Olivotto, 2002; Lauridsen, Overgaard, Overgaard, Hessov, & Cristiansen, 2008; Rietman, Dijkstra, Debreczeni, Geertzen, Robinson, & De Vries, 2004). These persistent disabilities compromise function and quality of life, hindering survivors from returning to work and leading functional and independent lives. In order to prevent and rehabilitate upper limb morbidities, quantification of the physical capabilities of this population must occur. 
\nThis thesis quantified the upper limb physical capabilities and limitations of breast cancer survivors by producing the most comprehensive collection of 3-D kinematics, muscle activation patterns, muscle-specific strength, and quality of life and disability measures during a wide range of functional tasks. Compared to the contralateral limb, the affected side demonstrated reduced humeral elevation (-6.5°) and external rotation angles (-8.9°), increased humeral internal rotation (+13.1°), reduced scapular protraction (-3.9°) (although both sides demonstrated protraction), increased upward rotation (+2.8°) and increased posterior tilting (+4.1°) of the scapula. These relationships varied with the task being performed. Muscle activation patterns revealed increased total muscle effort on the affected side during work tasks (p = 0.0258), and reductions in pectoralis major sternal activation (p<0.0001 – p = 0.0230). Increased muscle effort, weakness and discomfort levels were evident in both primary and secondary muscles (muscles outside the field of surgery and radiation). 
\nHumeral internal (IR) and external rotation (ER) co-activation was defined in both healthy (H) and breast cancer survivor populations (BCP) (H: r2 = 0.70 (IR) and 0.35 (ER); BCP: r2 = 0.77 (IR) and 0.77 (ER)). Humeral abduction angle and task intensity were important factors in the prediction of co-activation in both populations. Inclusion of physiological cross-sectional area (PCSA) weightings did not sufficiently improve the representation of co-activation in the healthy population. Healthy co-activation relationships were successfully extrapolated to a novel set of IR exertions (r2 = 0.76 IR exertions; r2 = 0.40 ER exertions). Comparisons made between populations identified differing muscle strategies used by survivors to maintain glenohumeral joint stability. Compared to healthy population co-activation, the survivors demonstrated greater activation of IR and ER muscles during their respective rotation type. Survivors demonstrated increased (≤8.7%) activation of pectoralis major muscle activation compared to the healthy population.
\nAn optimization-based muscle force prediction model was used to reflect specific muscle dysfunction of the pectoralis major muscles, and population-specific co-activation was enforced as a constraint. Empirically measured EMG was more closely associated to muscle force predictions of external rotator muscles (r = 0.567) than internal rotator muscles (r = 0.347). Model predictions were influenced by exertion type, co-activation constraint, hand force and pectoralis major capability constraints. The model predicted muscle forces more closely to empirical measurements of activation when the co-activation constraint was enforced, emphasizing the importance of consideration of antagonistic muscle activation in biomechanical modeling.
\nThis comprehensive description of physical capabilities of the breast cancer population has never been performed in such detail. This body of work has furthered the knowledge available regarding the capacity and functional limitations of survivors and preliminary recommendations regarding therapeutic treatment and directions for future works have been suggested. The continued development of this research and future application of interventions designed to address these disabilities will promote the eventual return to function and work of survivors through targeted rehabilitation and treatment strategies. Development of effective rehabilitation and prevention strategies could potentially lower the social and economic burdens of survivor aftercare and dramatically enhance the quality of life of survivors, allowing them to lead highly functional and independent lives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.255
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicCancer Treatment and PharmacologyFrench-language works237,207