About this trial
Accurate preoperative staging of gastric cancer is of major importance for guiding therapeutic decision-making, preventing both under- and over-treatment. The purpose of this study is to investigate the diagnostic performance of the Multi-parametric magnetic resonance imaging (mpMRI) and dual-energy computed tomography (DECT) in gastric cancer.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Consecutive patients with preoperative pathologically confirmed GC by endoscopy and preoperative imaging data (DECT/mpMRI) were included.
No contraindications for CT/MRI examination
Written informed consent
Disqualifiers
Patients with a history of previous therapy.
Patients with recurrent gastric cancer
Patients with a history of severe allergy to contrast agents
Patients with imaging artefacts affect the evaluation
Trial population
All patients diagnosed with gastric cancer by endoscopically biopsy will be considered for inclusion in the study.
Trial design
Cohort
Prospective
Treatments tested in this trial
DECT examination
Diagnostic testDECT examinations will be performed using a 192-slice CT scanner (SOMATOM, Force, Siemens, Forchheim, Germany).
mpMRI examination
Diagnostic testThe examinations were conducted on a 3-T MR scanner (MAGNETOM Skyra; Siemens Healthcare, Erlangen, Germany).
Treatment groups
Trial outcomes
Primary outcomes
Diagnostic performance of DECT and mpMRI in tumor staging assessment
Accuracy for both imaging techniques in the prediction of tumor staging.
Diagnostic performance of DECT and mpMRI in tumor restaging assessment
Accuracy for both imaging techniques in the prediction of tumor restaging.
Secondary outcomes
The kappa value
Inter-rater reliability of the DECT and mpMRI in tumor assessment
Predictive value of DECT and mpMRI after the neoadjuvant treatment for pathologic response
Pathological tumour regression grading (Mandard criterion): from 1 to 5 grading.
Disease free survival (DFS)
Survival analysis: Radiologic data predicting DFS.
Overall survival (OS)
Survival analysis: Radiologic data predicting OS.
Sponsors and contacts
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