Dong Ho Lee1, Se Hyung Kim2, Ijin Joo1, Bo Yun Hur3, Joon Koo Han4. 1. Department of Radiology, Seoul National University Hospital, South Korea; Department of Radiology, Seoul National University College of Medicine, South Korea. 2. Department of Radiology, Seoul National University Hospital, South Korea; Department of Radiology, Seoul National University College of Medicine, South Korea. Electronic address: shkim7071@gmail.com. 3. Department of Radiology, National Cancer Center, South Korea. 4. Department of Radiology, Seoul National University Hospital, South Korea; Department of Radiology, Seoul National University College of Medicine, South Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, South Korea.
Abstract
PURPOSE: To investigate if 18F-FDG PET/MRI can improve the diagnostic performance of TNM staging and help make an accurate decision for resectability in patients with gastric cancer compared to MDCT. MATERIALS AND METHODS: Forty-two patients with histologically confirmed gastric cancers underwent preoperative MDCT and 18F-FDG PET/MRI. M-staging and resectability was assessed in all patients, and T- and N-staging was evaluated in 30 of 42 patients who underwent curative gastrectomy. Two abdominal radiologists independently assessed their MDCT images and 18F-FDG PET/MRI and determined preoperative TNM staging and resectability of gastric cancers. Diagnostic performance with MDCT and 18F-FDG PET/MRI were compared using McNemar's test and receiver operating characteristic analysis. RESULTS: Diagnostic accuracies for T and N staging were not significantly different between MDCT and 18F-FDG PET/MRI in both readers. However, 18F-FDG PET/MRI showed significantly improved diagnostic accuracy for M staging in one reader (P=0.008) and marginal improvement in the other reader (P=0.063) compared to MDCT. Regarding the resectability of gastric cancers, diagnostic accuracy (92.9% for both readers) of 18F-FDG PET/MRI was significantly higher than that (76.2% for reader 1 and 64.3% for reader 2) of MDCT in both readers (P<0.05). CONCLUSION: 18F-FDG PET/MRI may improve diagnostic accuracy for preoperative M staging as well as resectability of gastric cancers compared to MDCT.
PURPOSE: To investigate if 18F-FDG PET/MRI can improve the diagnostic performance of TNM staging and help make an accurate decision for resectability in patients with gastric cancer compared to MDCT. MATERIALS AND METHODS: Forty-two patients with histologically confirmed gastric cancers underwent preoperative MDCT and 18F-FDG PET/MRI. M-staging and resectability was assessed in all patients, and T- and N-staging was evaluated in 30 of 42 patients who underwent curative gastrectomy. Two abdominal radiologists independently assessed their MDCT images and 18F-FDG PET/MRI and determined preoperative TNM staging and resectability of gastric cancers. Diagnostic performance with MDCT and 18F-FDG PET/MRI were compared using McNemar's test and receiver operating characteristic analysis. RESULTS: Diagnostic accuracies for T and N staging were not significantly different between MDCT and 18F-FDG PET/MRI in both readers. However, 18F-FDG PET/MRI showed significantly improved diagnostic accuracy for M staging in one reader (P=0.008) and marginal improvement in the other reader (P=0.063) compared to MDCT. Regarding the resectability of gastric cancers, diagnostic accuracy (92.9% for both readers) of 18F-FDG PET/MRI was significantly higher than that (76.2% for reader 1 and 64.3% for reader 2) of MDCT in both readers (P<0.05). CONCLUSION: 18F-FDG PET/MRI may improve diagnostic accuracy for preoperative M staging as well as resectability of gastric cancers compared to MDCT.
Authors: 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 Journal: Br J Radiol Date: 2019-03-05 Impact factor: 3.039
Authors: D L Bailey; B J Pichler; B Gückel; G Antoch; H Barthel; Z M Bhujwalla; S Biskup; S Biswal; M Bitzer; R Boellaard; R F Braren; C Brendle; K Brindle; A Chiti; C la Fougère; R Gillies; V Goh; M Goyen; M Hacker; L Heukamp; G M Knudsen; A M Krackhardt; I Law; J C Morris; K Nikolaou; J Nuyts; A A Ordonez; K Pantel; H H Quick; K Riklund; O Sabri; B Sattler; E G C Troost; M Zaiss; L Zender; Thomas Beyer Journal: Mol Imaging Biol Date: 2018-02 Impact factor: 3.488