Autor según el artículo: Qasim M; Puigjaner D; Herrero J; López JM; Olivé C; Fortuny G; Garcia-Bennett J
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Fortuny Anguera, Gerard / Herrero Sabartés, Juan / López Dupla, Jesús Miguel / Olivé Farré, Maria del Carme / Puigjaner Riba, Maria Dolores / Qasim, Muhammad
Palabras clave: Trus-guided biopsy Transrectal ultrasound (trus) Registration Prostate neoplasm Magnetic resonance imaging (mri) Code-aster trus-guided biopsy transrectal ultrasound (trus) radiotherapy prostate neoplasm motion diagnosis code-aster
Resumen: An accurate knowledge of the relocation of prostate neoplasms during biopsy is of great importance to reduce the number of false negative results. Prostate neoplasms are visible in magnetic resonance images (MRI) but it is difficult for the practitioner to locate them at the time of performing a transrectal ultrasound (TRUS) guided biopsy. In this study, we present a new methodology, based on simulation, that predicts both prostate deformation and lesion migration during the biopsy.A three-dimensional (3-D) anatomy model of the pelvic region, based on medical images, is constructed. A finite element (FE) numerical simulation of the organs motion and deformation as a result of the pressure exerted by the TRUS probe is carried out using the Code-Aster open-source computer software. Initial positions of potential prostate lesions prior to biopsy are taken into consideration and the final location of each lesion is targeted in the FE simulation output.Our 3-D FE simulations show that the effect of the pressure exerted by the TRUS probe is twofold as the prostate experiences both a motion and a deformation of its original shape. We targeted the relocation of five small prostate lesions when the TRUS probe exerts a force of 30 N on the rectum inner wall. The distance travelled by these lesions ranged between 5.6 and 13.9 mm.Our new methodology can help to predict the location of neoplasms during a prostate biopsy but further studies are needed to validate our results. Moreover, the new methodology is completely developed on open-source software, which means that its implementation would be affordable to all healthcare providers.© 2022. The Author(s).
Áreas temáticas: Saúde coletiva Química Planejamento urbano e regional / demografia Oncology Odontología Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Genetics Farmacia Ensino Engenharias iii Engenharias ii Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência de alimentos Ciência da computação Cancer research Biotecnología Biodiversidade Administração, ciências contábeis e turismo
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: jesusmiguel.lopez@urv.cat carme.olive@urv.cat joan.herrero@urv.cat dolors.puigjaner@urv.cat gerard.fortuny@urv.cat muhammad.qasim@estudiants.urv.cat muhammad.qasim@estudiants.urv.cat
Identificador del autor: 0000-0002-9141-2523 0000-0003-3269-5292 0000-0001-8501-1187 0000-0001-5251-2022 0000-0002-2500-7386 0000-0001-7147-6303 0000-0001-7147-6303
Fecha de alta del registro: 2024-02-11
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://bmccancer.biomedcentral.com/articles/10.1186/s12885-022-09432-4
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Bmc Cancer. 22 (1): 338-338
Referencia de l'ítem segons les normes APA: Qasim M; Puigjaner D; Herrero J; López JM; Olivé C; Fortuny G; Garcia-Bennett J (2022). Biomechanical modelling of the pelvic system: improving the accuracy of the location of neoplasms in MRI-TRUS fusion prostate biopsy. Bmc Cancer, 22(1), 338-338. DOI: 10.1186/s12885-022-09432-4
DOI del artículo: 10.1186/s12885-022-09432-4
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV