Ichiro Yamada1, Keigo Hikishima2,3, Naoyuki Miyasaka4, Yutaka Tokairin5, Eisaku Ito6, Tatsuyuki Kawano5, Daisuke Kobayashi6, Yoshinobu Eishi6, Hideyuki Okano2. 1. Department of Diagnostic Radiology and Oncology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan. 2. Department of Physiology, Keio University School of Medicine, Tokyo, Japan. 3. Central Institute for Experimental Animals, Kanagawa, Japan. 4. Department of Pediatrics, Perinatal and Maternal Medicine, Tokyo Medical and Dental University, Tokyo, Japan. 5. Department of Esophagogastric Surgery, Tokyo Medical and Dental University, Tokyo, Japan. 6. Department of Pathology, Tokyo Medical and Dental University, Tokyo, Japan.
Abstract
PURPOSE: To determine the usefulness of q-space MR imaging as means of evaluating the depth of mural invasion, the histologic grades, and lymph node metastasis in esophageal carcinomas. METHODS: Twenty esophageal specimens each containing a carcinoma were studied with a 7.0 Tesla MR imaging system. q-Space MR images were obtained with a 50-60 mm × 25-30 mm field of view, 256 × 128 matrix, 2 mm section thickness, 10 b values ranging from 0 to 7163 s/mm(2) , and a motion-probing gradient in the y-direction, and the MR images were compared with the histopathologic findings. RESULTS: The mean displacement maps, probability for zero displacement maps, and kurtosis maps in all 20 carcinomas (100%) made it possible to identify the depth of tumor invasion of the esophageal wall. These q-space MR imaging parameters were significantly correlated with the histologic grades of the esophageal carcinomas (P < 0.01), and also significantly correlated with their nuclear-cytoplasmic ratios (P < 0.01 or P < 0.001) and tumor cellularity (cell density) (P < 0.01 or P < 0.001). The q-space MR imaging parameters were also capable of differentiating between the metastatic lymph nodes and nonmetastatic lymph nodes (P < 0.01). CONCLUSION: q-Space MR imaging ex vivo provides excellent diagnostic accuracy for evaluating mural invasion by esophageal carcinomas, the histologic grades of esophageal carcinomas, and lymph node metastasis by esophageal carcinomas.
PURPOSE: To determine the usefulness of q-space MR imaging as means of evaluating the depth of mural invasion, the histologic grades, and lymph node metastasis in esophageal carcinomas. METHODS: Twenty esophageal specimens each containing a carcinoma were studied with a 7.0 Tesla MR imaging system. q-Space MR images were obtained with a 50-60 mm × 25-30 mm field of view, 256 × 128 matrix, 2 mm section thickness, 10 b values ranging from 0 to 7163 s/mm(2) , and a motion-probing gradient in the y-direction, and the MR images were compared with the histopathologic findings. RESULTS: The mean displacement maps, probability for zero displacement maps, and kurtosis maps in all 20 carcinomas (100%) made it possible to identify the depth of tumor invasion of the esophageal wall. These q-space MR imaging parameters were significantly correlated with the histologic grades of the esophageal carcinomas (P < 0.01), and also significantly correlated with their nuclear-cytoplasmic ratios (P < 0.01 or P < 0.001) and tumor cellularity (cell density) (P < 0.01 or P < 0.001). The q-space MR imaging parameters were also capable of differentiating between the metastatic lymph nodes and nonmetastatic lymph nodes (P < 0.01). CONCLUSION: q-Space MR imaging ex vivo provides excellent diagnostic accuracy for evaluating mural invasion by esophageal carcinomas, the histologic grades of esophageal carcinomas, and lymph node metastasis by esophageal carcinomas.
Authors: Qiyuan Tian; Grant Yang; Christoph Leuze; Ariel Rokem; Brian L Edlow; Jennifer A McNab Journal: Neuroimage Date: 2019-01-23 Impact factor: 6.556
Authors: Stefan C A Steens; Elise M Bekers; Willem L J Weijs; Geert J S Litjens; Andor Veltien; Arie Maat; Guido B van den Broek; Jeroen A W M van der Laak; Jürgen J Fütterer; Christina A Hulsbergen van der Kaa; Matthias A W Merkx; Robert P Takes Journal: Int J Comput Assist Radiol Surg Date: 2017-01-27 Impact factor: 2.924