| Literature DB >> 31572475 |
Ya Feng Ji1, Yu Gao1, Min Xie1.
Abstract
INTRODUCTION: The aim was to evaluate the diagnostic value of the Nakagawa and Csendes pathology classification systems in preoperative imaging of Mirizzi syndrome. Mirizzi syndrome is a type of biliary system obstruction caused by stones impacted in a gallbladder neck or cystic duct situated parallel to the common bile duct, causing extrinsic common bile duct stenosis or obstruction, which can lead to recurrent obstructive jaundice, bile duct erosion, and cholangitis. Therefore, the preoperative identification and classification of Mirizzi syndrome is vital for a good surgical result. We explored the applicability of two pathological classification systems to diagnostic imaging.Entities:
Keywords: Mirizzi syndrome/CL; computed tomography; magnetic resonance imaging
Year: 2019 PMID: 31572475 PMCID: PMC6764312 DOI: 10.5114/aoms.2019.87131
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Figure 1A – CT coronal scan in portal venous phase shows gallbladder neck incarcerated, oppression of common hepatic duct (white arrow). B – MRI contrast-enhanced T1WI shows gallbladder neck incarcerated (white arrow), with the level of hepatic duct stenosis, belonging to Nagakawa type I. C – CT coronal scan in portal venous phase shows gallbladder neck incarcerated (white arrow), with the level of hepatic duct stenosis, belonging to Nagakawa type I. D – CT coronal scan in portal venous phase shows gallbladder and common hepatic duct fistula (white arrow), with 2/3 of the fistula over the circumference of the biliary tract, belonging to Nagakawa type II. E – CT coronal scan in portal venous phase shows stone located in the confluence of cystic duct and common bile duct (white arrow), belonging to Nagakawa type III. F – CT sagittal scan in portal venous phase shows no stone in cystic duct and gallbladder neck (white arrow), with inflammatory stricture of common bile duct, belonging to Nagakawa type IV
The accuracy analysis of the two pathology classification systems in these patients
| Parameter | Csendes classification with 95% CI | Nagakawa classification with 95% CI | |
|---|---|---|---|
| Sensitivity | 0.97 (0.9478–0.9922) | 0.99 (0.9678–1.0000) | > 0.05 |
| Specificity | 0.79 (0.6984–0.8816) | 1.00 (1.0000– 1.0000) | > 0.05 |
| Accuracy | 0.92 (0.8590–0.9810) | 0.99 (0.9678–1.0000) | > 0.05 |
| Missed diagnosis rate | 0.03 (0.0000–0.0684) | 0.01 (0.0000–0.0324) | > 0.05 |
| Misdiagnosis rate | 0.21 (0.1184–0.3016) | 0.00 (0.0000–0.0000) | > 0.05 |
| Positive predictive value | 0.93 (0.8726–0.9874) | 1.00 (1.0000–1.0000) | < 0.05 |
| Negative predictive value | 0.88 (0.8069–0.9531) | 0.67 (0.5643–0.7757) | > 0.05 |
| Positive likelihood ratio | 4.58 (3.1422–6.7899) | ∞ (∞–∞) | < 0.05 |
| Negative likelihood ratio | 0.04 (0.0095–0.1516) | 0.01 (0.0014–0.0703) | > 0.05 |
| Total 95% CI | 0.5000 | 0.3756–0.5080 | > 0.05 |
Consistency between image classification and pathological classification (Csendes classification)
| Pathology image | I | II | III | IV | None | Total |
|---|---|---|---|---|---|---|
| I | 31 | 10 | 0 | 0 | 0 | 41 |
| II | 1 | 4 | 0 | 0 | 0 | 5 |
| III | 3 | 0 | 3 | 0 | 2 | 8 |
| IV | 0 | 1 | 1 | 1 | 2 | 5 |
| None | 1 | 1 | 0 | 0 | 15 | 17 |
| Total | 36 | 16 | 4 | 1 | 19 | 76 |
Consistency between image classification and pathological classification (Nagakawa classification)
| Pathology image | I | II | III | IV | None | Total |
|---|---|---|---|---|---|---|
| I | 31 | 7 | 3 | 0 | 0 | 41 |
| II | 3 | 14 | 0 | 1 | 0 | 18 |
| III | 1 | 0 | 9 | 0 | 0 | 10 |
| IV | 0 | 0 | 0 | 4 | 0 | 4 |
| None | 1 | 0 | 0 | 0 | 2 | 3 |
| Total | 36 | 21 | 12 | 5 | 2 | 76 |
Ridit analysis (95% CI)
| 0.5000 | 0.4111–0.5435 | > 0.05 |
| 0.5000 | 0.4039–0.5363 | > 0.05 |
| 0.5000 | 0.3756–0.5080 | > 0.05 |