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Quantitative magnetic resonance imaging predicts individual future liver performance after liver resection for cancer.
Mole, Damian J; Fallowfield, Jonathan A; Sherif, Ahmed E; Kendall, Timothy; Semple, Scott; Kelly, Matt; Ridgway, Gerard; Connell, John J; McGonigle, John; Banerjee, Rajarshi; Brady, J Michael; Zheng, Xiaozhong; Hughes, Michael; Neyton, Lucile; McClintock, Joanne; Tucker, Garry; Nailon, Hilary; Patel, Dilip; Wackett, Anthony; Steven, Michelle; Welsh, Fenella; Rees, Myrddin.
Afiliación
  • Mole DJ; Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom.
  • Fallowfield JA; Centre for Inflammation Research, University of Edinburgh, Queen's Medical Research Institute, Edinburgh, United Kingdom.
  • Sherif AE; Centre for Inflammation Research, University of Edinburgh, Queen's Medical Research Institute, Edinburgh, United Kingdom.
  • Kendall T; Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom.
  • Semple S; Department of HPB Surgery, National Liver Institute, Menoufia University, Shibin Elkom, Egypt.
  • Kelly M; Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom.
  • Ridgway G; Department of Pathology, NHS Lothian, Edinburgh, United Kingdom.
  • Connell JJ; Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • McGonigle J; Perspectum, Gemini One, Oxford, United Kingdom.
  • Banerjee R; Perspectum, Gemini One, Oxford, United Kingdom.
  • Brady JM; Perspectum, Gemini One, Oxford, United Kingdom.
  • Zheng X; Perspectum, Gemini One, Oxford, United Kingdom.
  • Hughes M; Perspectum, Gemini One, Oxford, United Kingdom.
  • Neyton L; Perspectum, Gemini One, Oxford, United Kingdom.
  • McClintock J; Centre for Inflammation Research, University of Edinburgh, Queen's Medical Research Institute, Edinburgh, United Kingdom.
  • Tucker G; Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom.
  • Nailon H; Centre for Inflammation Research, University of Edinburgh, Queen's Medical Research Institute, Edinburgh, United Kingdom.
  • Patel D; Hampshire Hospitals Foundation Trust, Basingstoke, United Kingdom.
  • Wackett A; Clinical Research Facility, NHS Lothian, Edinburgh, United Kingdom.
  • Steven M; Clinical Research Facility, NHS Lothian, Edinburgh, United Kingdom.
  • Welsh F; Clinical Radiology, NHS Lothian, Edinburgh, United Kingdom.
  • Rees M; Edinburgh Clinical Trials Unit, Edinburgh, United Kingdom.
PLoS One ; 15(12): e0238568, 2020.
Article en En | MEDLINE | ID: mdl-33264327
The risk of poor post-operative outcome and the benefits of surgical resection as a curative therapy require careful assessment by the clinical care team for patients with primary and secondary liver cancer. Advances in surgical techniques have improved patient outcomes but identifying which individual patients are at greatest risk of poor post-operative liver performance remains a challenge. Here we report results from a multicentre observational clinical trial (ClinicalTrials.gov NCT03213314) which aimed to inform personalised pre-operative risk assessment in liver cancer surgery by evaluating liver health using quantitative multiparametric magnetic resonance imaging (MRI). We combined estimation of future liver remnant (FLR) volume with corrected T1 (cT1) of the liver parenchyma as a representation of liver health in 143 patients prior to treatment. Patients with an elevated preoperative liver cT1, indicative of fibroinflammation, had a longer post-operative hospital stay compared to those with a cT1 within the normal range (6.5 vs 5 days; p = 0.0053). A composite score combining FLR and cT1 predicted poor liver performance in the 5 days immediately following surgery (AUROC = 0.78). Furthermore, this composite score correlated with the regenerative performance of the liver in the 3 months following resection. This study highlights the utility of quantitative MRI for identifying patients at increased risk of poor post-operative liver performance and a longer stay in hospital. This approach has the potential to inform the assessment of individualised patient risk as part of the clinical decision-making process for liver cancer surgery.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Hepatectomía / Hígado / Neoplasias Hepáticas / Regeneración Hepática Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Hepatectomía / Hígado / Neoplasias Hepáticas / Regeneración Hepática Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido