Articles producció científica> Enginyeria Informàtica i Matemàtiques

Biomechanical modelling of the pelvic system: improving the accuracy of the location of neoplasms in MRI-TRUS fusion prostate biopsy

  • Identification data

    Identifier: imarina:9249054
    Authors:
    Qasim MPuigjaner DHerrero JLópez JMOlivé CFortuny GGarcia-Bennett J
    Abstract:
    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).
  • Others:

    Author, as appears in the article.: Qasim M; Puigjaner D; Herrero J; López JM; Olivé C; Fortuny G; Garcia-Bennett J
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Fortuny Anguera, Gerard / Herrero Sabartés, Juan / López Dupla, Jesús Miguel / Olivé Farré, Maria del Carme / Puigjaner Riba, Maria Dolores / Qasim, Muhammad
    Keywords: 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
    Abstract: 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).
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: muhammad.qasim@estudiants.urv.cat muhammad.qasim@estudiants.urv.cat gerard.fortuny@urv.cat dolors.puigjaner@urv.cat joan.herrero@urv.cat carme.olive@urv.cat jesusmiguel.lopez@urv.cat
    Author identifier: 0000-0001-7147-6303 0000-0001-7147-6303 0000-0002-2500-7386 0000-0001-5251-2022 0000-0001-8501-1187 0000-0003-3269-5292 0000-0002-9141-2523
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://bmccancer.biomedcentral.com/articles/10.1186/s12885-022-09432-4
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Bmc Cancer. 22 (1): 338-338
    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
    Article's DOI: 10.1186/s12885-022-09432-4
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Cancer Research,Genetics,Oncology
    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
    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
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