Imaging strategies in the management of gastric cancer: current role and future potential of MRI

Alicia S Borggreve, Lucas Goense, Hylke J F Brenkman, Stella Mook, Gert J Meijer, Frank J Wessels, Marcel Verheij, Edwin P M Jansen, Richard van Hillegersberg, Peter S N van Rossum, Jelle P Ruurda

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Abstract

Accurate preoperative staging of gastric cancer and the assessment of tumor response to neoadjuvant treatment is of importance for treatment and prognosis. Current imaging techniques, mainly endoscopic ultrasonography (EUS), computed tomography (CT) and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), have their limitations. Historically, the role of magnetic resonance imaging (MRI) in gastric cancer has been limited, but with the continuous technical improvements, MRI has become a more potent imaging technique for gastrointestinal malignancies. The accuracy of MRI for T- and N-staging of gastric cancer is similar to EUS and CT, making MRI a suitable alternative to other imaging strategies. There is limited evidence on the performance of MRI for M-staging of gastric cancer specifically, but MRI is widely used for diagnosing liver metastases and shows potential for diagnosing peritoneal seeding. Recent pilot studies showed that treatment response assessment as well as detection of lymph node metastases and systemic disease might benefit from functional MRI (e.g. diffusion weighted imaging and dynamic contrast enhancement). Regarding treatment guidance, additional value of MRI might be expected from its role in better defining clinical target volumes and setup verification with MR-guided radiation treatment.

Original languageEnglish
Article number20181044
JournalBritish Journal of Radiology
Volume92
Issue number1097
Early online date5 Mar 2019
DOIs
Publication statusPublished - May 2019

Keywords

  • Humans
  • Liver Neoplasms/secondary
  • Lymphatic Metastasis
  • Magnetic Resonance Imaging
  • Neoplasm Seeding
  • Neoplasm Staging
  • Peritoneal Neoplasms/secondary
  • Stomach Neoplasms/diagnostic imaging

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