Dong Ho Lee1, Se Hyung Kim2,3, Ijin Joo1, Joon Koo Han1,4,5. 1. Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, Seoul, 110-744, Korea. 2. Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, Seoul, 110-744, Korea. shkim7071@gmail.com. 3. Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea. shkim7071@gmail.com. 4. Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea. 5. Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea.
Abstract
OBJECTIVES: To prospectively evaluate if the perfusion parameters of gastric cancer can provide information on histologic subtypes of gastric cancer. METHODS: We performed preoperative perfusion CT (PCT) and curative gastrectomy in 46 patients. PCT data were analysed using a dedicated software program. Perfusion parameters were obtained by two independent radiologists and were compared according to histologic type using Kruskal-Wallis, Mann-Whitney U test and receiver operating characteristic analysis. To assess inter-reader agreement, we used intraclass correlation coefficient (ICC). RESULTS: Inter-reader agreement for perfusion parameters was moderate to substantial (ICC = 0.585-0.678). Permeability surface value of poorly cohesive carcinoma (PCC) was significantly higher than other histologic types (47.3 ml/100 g/min in PCC vs 26.5 ml/100 g/min in non-PCC, P < 0.001). Mean transit time (MTT) of PCC was also significantly longer than non-PCC (13.0 s in PCC vs 10.3 s in non-PCC, P = 0.032). The area under the curve to predict PCC was 0.891 (P < 0.001) for permeability surface and 0.697 (P = 0.015) for MTT. CONCLUSION: Obtaining perfusion parameters from PCT was feasible in gastric cancer patients and can aid in the preoperative imaging diagnosis of PCC-type gastric cancer as the permeability surface and MTT value of PCC type gastric cancer were significantly higher than those of non-PCC. KEY POINTS: • Obtaining perfusion parameters from PCT was feasible in patients with gastric cancer. • Permeability surface and MTT were significantly higher in poorly cohesive carcinoma (PCC). • Permeability surface, MTT can aid in the preoperative imaging diagnosis of PCC.
OBJECTIVES: To prospectively evaluate if the perfusion parameters of gastric cancer can provide information on histologic subtypes of gastric cancer. METHODS: We performed preoperative perfusion CT (PCT) and curative gastrectomy in 46 patients. PCT data were analysed using a dedicated software program. Perfusion parameters were obtained by two independent radiologists and were compared according to histologic type using Kruskal-Wallis, Mann-Whitney U test and receiver operating characteristic analysis. To assess inter-reader agreement, we used intraclass correlation coefficient (ICC). RESULTS: Inter-reader agreement for perfusion parameters was moderate to substantial (ICC = 0.585-0.678). Permeability surface value of poorly cohesive carcinoma (PCC) was significantly higher than other histologic types (47.3 ml/100 g/min in PCC vs 26.5 ml/100 g/min in non-PCC, P < 0.001). Mean transit time (MTT) of PCC was also significantly longer than non-PCC (13.0 s in PCC vs 10.3 s in non-PCC, P = 0.032). The area under the curve to predict PCC was 0.891 (P < 0.001) for permeability surface and 0.697 (P = 0.015) for MTT. CONCLUSION: Obtaining perfusion parameters from PCT was feasible in gastric cancerpatients and can aid in the preoperative imaging diagnosis of PCC-type gastric cancer as the permeability surface and MTT value of PCC type gastric cancer were significantly higher than those of non-PCC. KEY POINTS: • Obtaining perfusion parameters from PCT was feasible in patients with gastric cancer. • Permeability surface and MTT were significantly higher in poorly cohesive carcinoma (PCC). • Permeability surface, MTT can aid in the preoperative imaging diagnosis of PCC.
Entities:
Keywords:
Histologic type of gastric cancer; Mean transit time; Perfusion CT; Permeability surface; Poorly cohesive carcinoma
Authors: Steven C Cunningham; Farin Kamangar; Min P Kim; Sommer Hammoud; Raqeeb Haque; Anirban Maitra; Elizabeth Montgomery; Richard E Heitmiller; Michael A Choti; Keith D Lillemoe; John L Cameron; Charles J Yeo; Richard D Schulick Journal: J Gastrointest Surg Date: 2005 May-Jun Impact factor: 3.452
Authors: Martijn R Meijerink; Jan Hein T M van Waesberghe; Lineke van der Weide; Petrousjka van den Tol; Sybren Meijer; Cornelis van Kuijk Journal: Eur Radiol Date: 2008-05-20 Impact factor: 5.315