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Preoperative prediction of difficult laparoscopic cholecystectomy based on diffusion-weighted magnetic resonance
Yoshihiro Kurata1,2, Koichi Hayano2, Masanori Ichinose1
1Department of Digestive Surgery, International University of Health and Welfare, Shioya Hospital, Yaita, Japan.
Introduction:
Laparoscopic cholecystectomy is a common surgery with a varying difficulty level. Difficult laparoscopic cholecystectomy may be experienced by many surgeons. If difficult procedures are predicted preoperatively, surgeons may be able to plan the surgical approach and treatment accordingly. Studies have reported using blood and clinical imaging data to predict difficult cholecystectomy. However, to our knowledge, no studies have reported using MRI. The purpose of this study was to evaluate the usefulness of MRI as a predictor of difficult laparoscopic cholecystectomy.
Methods:
We retrospectively evaluated 25 patients with cholecystitis or biliary colic who had undergone diffusion-weighted whole-body imaging before laparoscopic cholecystectomy. The apparent diffusion coefficient value of the cystic duct was measured and its relationship with operative time and blood loss was examined to assess the capacity of diffuse-weighted whole-body imaging to predict difficult cholecystectomy. Further, we collected blood data and compared its usefulness as a predictor.
Results:
The apparent diffusion coefficient value of the cystic duct was significantly lower in patients with difficult laparoscopic cholecystectomy than in those with non-difficult procedures (P = .00007). White blood cell count and serum C-reactive protein level were significantly higher in patients with difficult cholecystectomy than in those with non-difficult procedures (P = .035, .030). In the receiver operating characteristic analysis, the apparent diffusion coefficient value was the best predictor.
Conclusion:
Our results suggest that the apparent diffusion coefficient value of the cystic duct is a predictor of difficult laparoscopic cholecystectomy. In the future, it may be useful to study changes in coefficient values over time to determine optimal surgical timing.
