Biomechanical analysis of the pelvic floor and pessary device design
Notice bibliographique
Résumé
Pelvic floor disorders (PFD) including pelvic organ prolapse (POP) can significantly impact women’s quality of life. Pessaries, removable gynecological prosthetic devices, provide mechanical support for temporary or long-term symptom relief of PFDs like POP. To investigate both PFDs and pessaries this thesis focused on two themes: (1) image-based analysis of dynamic pelvic floor contractions and (2) mechanical characterization of pessaries using a combination of experimental and computational methods. \nPFDs are commonly assessed by pelvic floor muscle strength during vaginal contraction, often performed through subjective digital palpation or ultrasound imaging. However, vaginal wall movement can be difficult to interpret. An alternative is colpodynamic imaging (CDI), a novel approach that uses dynamic trans-introital ultrasound combined with intra-vaginal pressure and volume monitoring of vaginal distension achieved with an inflated thin bag, to improve visualization of the vaginal wall during contraction. \nThe goal of theme (1) was to characterize vaginal contraction biomechanics using a CDI approach. As a first step, 3D Slicer was used to segment the bag shape from 2D CDI ultrasound videos captured during contraction from 19 patients with diagnosed prolapse. The bag shape was defined at common 1cm inferior-superior intervals. Several CDI measurements were extracted during voluntary contraction and averaged using ARCGen in MATLAB. The decrease in average patient bag dimensions exhibited consistent trapezoidal trends, an inverse of the pressure changes observed. This represents the first-time dynamic distended pelvic floor contraction has been evaluated, demonstrating good visibility of the vaginal wall and trends in the contraction pressure and shape change. Next steps include increasing the CDI dataset and evaluating patients without prolapse. \nWith respect to theme (2), mechanical tests are commonly performed on physical pessary designs to characterize their behaviour under load; however, pessary manufacturing is expensive and time consuming. As an alternative, finite element (FE) modelling can provide detailed numerical insight into the response of a pessary under load but to date has seen limited application, with little data available for pessary silicone materials. The goal of the first study of Theme 1 aimed to identify hyperelastic material models for two silicone materials used in pessary manufacturing towards FE analysis of ring with support (RWS) pessaries. It was hypothesized that hyperelastic material models could be identified to sufficiently capture the force and deformation response of multiple RWS sizes under different boundary conditions and silicone material types (Shore 60A and 40A). To understand the material characteristics of pessary silicone, uniaxial tension and compression tests were performed using “dog-bone” and cylinder test samples. The uniaxial experimental data was fit with Mooney-Rivlin (MR) material models. To ensure the material models characterize the pessary behaviour, data from mechanical tests representing RWS pessary folding and modified 3-point bending were compared to FE recreations of the same tests with the MR materials applied. The FE model results demonstrated excellent agreement in the force-displacement response for both tests with different pessary sizes and silicones. \nA second study within Theme 2 aimed to investigate the use of topology optimization to perform a potential redesign of a generic Gellhorn pessary. The goal of this iterative redesign was to improve pessary insertion and removal while optimizing based on expected boundary conditions within the vaginal canal. To achieve the redesign goals, the Gellhorn cap and knob were recreated in Altair Inspire with an open design space between them, allowing maximum stiffness and minimize mass optimization algorithms to create two optimal stem designs. The parameters for these optimizations included boundary conditions to represent folding for insertion and increased pressures due to a Valsalva maneuver. The results of these optimizations were utilized to redesign the Gellhorn while considering features to improve gripping for insertion and removal. These redesigned features were then analyzed in Altair Inspire to ensure they met the needs of the problem space. This resulted in a tripod stem for directional folding, handles on the stem and cap for gripping as well as a cut-out for releasing pessary suction. \nCollectively, the three studies represent novel investigations of pelvic floor contraction and pessary device design. All three studies could result in improved pessary treatment by better understanding pelvic floor biomechanics and improving pessary design. Future work on the CDI technique could expand on the developed approach to better understand different pelvic floor impairments as compared to healthy anatomy. Further, the use of topology optimization design methods could be extended to other pessary types as well as adopting different patient dimensions and potential loading conditions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».