OBJECTIVE: A non-invasive diagnostic technique for abdominal adhesions is not currently available. Capture of abdominal motion due to respiration in cine-MRI has shown promise, but is difficult to interpret. This article explores the value of a complimentary diagnostic aid to facilitate the non-invasive detection of abdominal adhesions using cine-MRI. METHOD: An image processing technique was developed to quantify the amount of sliding that occurs between the organs of the abdomen and the abdominal wall in sagittal cine-MRI slices. The technique produces a "sheargram" which depicts the amount of sliding which has occurred over 1-3 respiratory cycles. A retrospective cohort of 52 patients, scanned for suspected adhesions, made 281 cine-MRI sagittal slices available for processing. The resulting sheargrams were reported by two operators and compared with expert clinical judgment of the cine-MRI scans. RESULTS: The sheargram matched clinical judgment in 84% of all sagittal slices and 93-96% of positive adhesions were identified on the sheargram. The sheargram displayed a slight skew towards sensitivity over specificity, with a high positive adhesion detection rate but at the expense of false positives. CONCLUSION: Good correlation between sheargram and absence/presence of inferred adhesions indicates quantification of sliding motion has potential to aid adhesion detection in cine-MRI. ADVANCES IN KNOWLEDGE: This is the first attempt to clinically evaluate a novel image processing technique quantifying the sliding motion of the abdominal contents against the abdominal wall. The results of this pilot study reveal its potential as a diagnostic aid for detection of abdominal adhesions.
OBJECTIVE: A non-invasive diagnostic technique for abdominal adhesions is not currently available. Capture of abdominal motion due to respiration in cine-MRI has shown promise, but is difficult to interpret. This article explores the value of a complimentary diagnostic aid to facilitate the non-invasive detection of abdominal adhesions using cine-MRI. METHOD: An image processing technique was developed to quantify the amount of sliding that occurs between the organs of the abdomen and the abdominal wall in sagittal cine-MRI slices. The technique produces a "sheargram" which depicts the amount of sliding which has occurred over 1-3 respiratory cycles. A retrospective cohort of 52 patients, scanned for suspected adhesions, made 281 cine-MRI sagittal slices available for processing. The resulting sheargrams were reported by two operators and compared with expert clinical judgment of the cine-MRI scans. RESULTS: The sheargram matched clinical judgment in 84% of all sagittal slices and 93-96% of positive adhesions were identified on the sheargram. The sheargram displayed a slight skew towards sensitivity over specificity, with a high positive adhesion detection rate but at the expense of false positives. CONCLUSION: Good correlation between sheargram and absence/presence of inferred adhesions indicates quantification of sliding motion has potential to aid adhesion detection in cine-MRI. ADVANCES IN KNOWLEDGE: This is the first attempt to clinically evaluate a novel image processing technique quantifying the sliding motion of the abdominal contents against the abdominal wall. The results of this pilot study reveal its potential as a diagnostic aid for detection of abdominal adhesions.
Authors: John Fenner; Benjamin Wright; Jonathan Emberey; Paul Spencer; Richard Gillott; Angela Summers; Charles Hutchinson; Pat Lawford; Paul Brenchley; Karna Dev Bardhan Journal: Phys Med Date: 2014-01-16 Impact factor: 2.685
Authors: Reinhold A Lang; Sonja Buhmann; Alexander Hopman; Heinrich-Otto Steitz; Andreas Lienemann; Maximilian F Reiser; Karl-Walter Jauch; Thomas P Hüttl Journal: Surg Endosc Date: 2008-03-06 Impact factor: 4.584
Authors: Richard P G ten Broek; Yama Issa; Evert J P van Santbrink; Nicole D Bouvy; Roy F P M Kruitwagen; Johannes Jeekel; Erica A Bakkum; Maroeska M Rovers; Harry van Goor Journal: BMJ Date: 2013-10-03
Authors: David Randall; John Fenner; Richard Gillott; Richard Ten Broek; Chema Strik; Paul Spencer; Karna Dev Bardhan Journal: Gastroenterol Res Pract Date: 2016-01-03 Impact factor: 2.260
Authors: Mohammad Mehdi Dehghani Firoozabadi; Abbas Alibakhshi; Hoorieh Alaeen; Sanaz Zand; Ryan Nazemian; Maryam Rahmani Journal: Ann Med Surg (Lond) Date: 2018-10-06