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The Crying Need for a Better Response Assessment in Rectal Cancer.
Amintas, Samuel; Giraud, Nicolas; Fernandez, Benjamin; Dupin, Charles; Denost, Quentin; Garant, Aurelie; Frulio, Nora; Smith, Denis; Rullier, Anne; Rullier, Eric; Vuong, Te; Dabernat, Sandrine; Vendrely, Véronique.
Afiliación
  • Amintas S; Tumor Biology and Tumor Bank Laboratory, CHU Bordeaux, F-33600, Pessac, France. samuel.amintas@u-bordeaux.fr.
  • Giraud N; BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France. samuel.amintas@u-bordeaux.fr.
  • Fernandez B; Department of Radiation Oncology, CHU Bordeaux, F-33000, Bordeaux, France.
  • Dupin C; Surgery Department, CHU Bordeaux, F-33600, Pessac, France.
  • Denost Q; BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
  • Garant A; Department of Radiation Oncology, CHU Bordeaux, F-33000, Bordeaux, France.
  • Frulio N; Bordeaux Colorectal Institute, F-33000, Bordeaux, France.
  • Smith D; UT Southwestern Department of Radiation Oncology, Dallas, USA.
  • Rullier A; Radiology Department, CHU Bordeaux, F-33600, Pessac, France.
  • Rullier E; Department of Digestive Oncology, CHU Bordeaux, F-33600, Pessac, France.
  • Vuong T; Histology Department, CHU Bordeaux, F-33000, Bordeaux, France.
  • Dabernat S; BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
  • Vendrely V; Surgery Department, CHU Bordeaux, F-33600, Pessac, France.
Curr Treat Options Oncol ; 24(11): 1507-1523, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37702885
ABSTRACT
OPINION STATEMENT Since total neoadjuvant treatment achieves almost 30% pathologic complete response, organ preservation has been increasingly debated for good responders after neoadjuvant treatment for patients diagnosed with rectal cancer. Two organ preservation strategies are available a watch and wait strategy and a local excision strategy including patients with a near clinical complete response. A major issue is the selection of patients according to the initial tumor staging or the response assessment. Despite modern imaging improvement, identifying complete response remains challenging. A better selection could be possible by radiomics analyses, exploiting numerous image features to feed data characterization algorithms. The subsequent step is to include baseline and/or pre-therapeutic MRI, PET-CT, and CT radiomics added to the patients' clinicopathological data, inside machine learning (ML) prediction models, with predictive or prognostic purposes. These models could be further improved by the addition of new biomarkers such as circulating tumor biomarkers, molecular profiling, or pathological immune biomarkers.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias del Recto / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Curr Treat Options Oncol Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias del Recto / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Curr Treat Options Oncol Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Francia