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Personalising sarcoma care using quantitative multimodality imaging for response assessment.
Kalisvaart, G M; Bloem, J L; Bovée, J V M G; van de Sande, M A J; Gelderblom, H; van der Hage, J A; Hartgrink, H H; Krol, A D G; de Geus-Oei, L F; Grootjans, W.
Afiliación
  • Kalisvaart GM; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: g.m.kalisvaart@lumc.nl.
  • Bloem JL; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Bovée JVMG; Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
  • van de Sande MAJ; Department of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands.
  • Gelderblom H; Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands.
  • van der Hage JA; Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
  • Hartgrink HH; Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
  • Krol ADG; Department of Radiation Oncology. Leiden University Medical Center, Leiden, the Netherlands.
  • de Geus-Oei LF; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands.
  • Grootjans W; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Clin Radiol ; 76(4): 313.e1-313.e13, 2021 Apr.
Article en En | MEDLINE | ID: mdl-33483087
ABSTRACT
Over the last decades, technological developments in the field of radiology have resulted in a widespread use of imaging for personalising medicine in oncology, including patients with a sarcoma. New scanner hardware, imaging protocols, image reconstruction algorithms, radiotracers, and contrast media, enabled the assessment of the physical and biological properties of tumours associated with response to treatment. In this context, medical imaging has the potential to select sarcoma patients who do not benefit from (neo-)adjuvant treatment and facilitate treatment adaptation. Due to the biological heterogeneity in sarcomas, the challenge at hand is to acquire a practicable set of imaging features for specific sarcoma subtypes, allowing response assessment. This review provides a comprehensive overview of available clinical data on imaging-based response monitoring in sarcoma patients and future research directions. Eventually, it is expected that imaging-based response monitoring will help to achieve successful modification of (neo)adjuvant treatments and improve clinical care for these patients.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 11_ODS3_cobertura_universal Problema de salud: 11_delivery_arrangements Asunto principal: Planificación de Atención al Paciente / Sarcoma / Medicina de Precisión / Imagen Multimodal Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 11_ODS3_cobertura_universal Problema de salud: 11_delivery_arrangements Asunto principal: Planificación de Atención al Paciente / Sarcoma / Medicina de Precisión / Imagen Multimodal Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article
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