PET/Computed Tomography and Precision Medicine: Gastric Cancer

Charles Marcus, Rathan M. Subramaniam

Research output: Contribution to journalReview article

4 Citations (Scopus)

Abstract

Gastric cancer is a disease with low survival rates and high morbidity, requiring accurate and prompt diagnosis and treatment. Although limited in the evaluation of the primary tumor as such, the metabolic information of primary tumors in an 18F-FDG PET/CT study can assist in surgical and treatment planning and differentiating gastric cancers. It detects nodal disease with good specificity and positive predictive value, thus enabling appropriate therapy for individual patients. It provides valuable information about distant metastases, altering therapy decisions. It has reasonably good performance in detecting recurrent disease and in the follow-up of patients.

Original languageEnglish (US)
Pages (from-to)437-447
Number of pages11
JournalPET Clinics
Volume12
Issue number4
DOIs
StatePublished - Oct 1 2017

Fingerprint

Precision Medicine
medicine
Stomach Neoplasms
tomography
cancer
Tomography
therapy
tumors
metastasis
planning
Fluorodeoxyglucose F18
Therapeutics
Neoplasms
Survival Rate
evaluation
Neoplasm Metastasis
Morbidity

Keywords

  • Gastric cancer
  • Gastric carcinoma
  • Gastric lymphoma
  • PET
  • PET/CT

ASJC Scopus subject areas

  • Radiation
  • Radiology Nuclear Medicine and imaging

Cite this

PET/Computed Tomography and Precision Medicine : Gastric Cancer. / Marcus, Charles; Subramaniam, Rathan M.

In: PET Clinics, Vol. 12, No. 4, 01.10.2017, p. 437-447.

Research output: Contribution to journalReview article

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AB - Gastric cancer is a disease with low survival rates and high morbidity, requiring accurate and prompt diagnosis and treatment. Although limited in the evaluation of the primary tumor as such, the metabolic information of primary tumors in an 18F-FDG PET/CT study can assist in surgical and treatment planning and differentiating gastric cancers. It detects nodal disease with good specificity and positive predictive value, thus enabling appropriate therapy for individual patients. It provides valuable information about distant metastases, altering therapy decisions. It has reasonably good performance in detecting recurrent disease and in the follow-up of patients.

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