| Literature DB >> 27652308 |
Gael S Roth1, Philippe Bichard2, Michele Fior-Gozlan3, Hubert Roth4, Jean Auroux2, Olivier Risse5, Christian Letoublon6, Marie Hélène Laverrière3, Ivan Bricault7, Vincent Leroy1, Thomas Decaens1.
Abstract
BACKGROUND AND STUDY AIMS: Endobiliary brushing during endoscopic retrograde cholangiopancreatography (ERCP) is the main technique used to diagnose a malignant stricture, but has a poor sensitivity. This study evaluated the diagnostic performance of bile aspiration associated with biliary brushing during ERCP to diagnose a malignant stricture, compared to brushing alone. PATIENTS AND METHODS: Between January 2007 and December 2012, all consecutive patients undergoing ERCP to treat a biliary stricture were included. After a biliary sphincterotomy, 3 mL to 10 mL of bile was aspirated into the brush catheter and collected in a dry sterile tube before and after brushing (to yield three samples). Brushing was performed as commonly recommended.Entities:
Year: 2016 PMID: 27652308 PMCID: PMC5025307 DOI: 10.1055/s-0042-108854
Source DB: PubMed Journal: Endosc Int Open ISSN: 2196-9736
Fig. 1Flowchart of 295 patients with biliary stricture plus per-ERCP three-sample combination. Data were collected between January 2007 and December 2012.
Patient characteristics.
| Population characteristics | Data |
| Age, mean (SD) | 66.8 (15.4) |
| Gender, n (%) | |
| Male | 68 (61 %) |
| Female | 43 (39 %) |
| Stenosis localization, n (%) | |
| Common bile duct | 77 (69.4 %) |
| Bile-duct bifurcation | 27 (24.3 %) |
| Intra-hepatic ducts | 7 (6.3 %) |
| Undetermined stenosis, n (%) | |
| Yes | 76 (68 %) |
| No | 35 (32 %) |
| Dilatation before brushing, n (%) | |
| Yes | 24 (22 %) |
| No | 87 (78 %) |
| Prosthesis from a previous ERCP, n (%) | |
| Yes | 18 (16 %) |
| No | 93 (84 %) |
| Post-ERCP adverse events, n (%) | 9 (8.1 %) |
| Pancreatitis | 3 (2.7 %) |
| Angiocholitis | 3 (2.7 %) |
| Hemorrhage | 2 (1.8 %) |
| Perforation | 1 (0.9 %) |
Final diagnosis.
| Type of stenosis | n (%) |
|
| 51 (46 %) |
| Pancreatic adenocarcinoma | 7 (6 %) |
| Cholangiocarcinoma | 43 (39 %) |
| Peri-hilar tumor | 24 |
| Common bile duct | 18 |
| Intrahepatic | 1 |
| Ampullary carcinoma | 1 |
|
|
|
| Pancreatitis | 16 (14 %) |
| Acute pancreatitis | 3 |
| Chronic pancreatitis | 13 |
| Primary sclerosing cholangitis | 10 |
| Postoperative stenosis | 10 |
| Post-lithiasis stenosis | 8 |
| Odditis and other benign ampullary stenoses | 7 |
| Undetermined benign stenosis | 9 |
Fig. 2 aCellularity within the cytologic samples: percentages of rich, medium, poor and insufficient cells per sampling technique. b Pictures illustrating cell quantity with Papanicolaou staining and magnification × 10 of a sample obtained by brushing. c Pictures illustrating cell quantity with bile aspiration.
Accuracy of diagnosis of malignancy after detection of malignant cells according to the different sampling methods.
| Detection of malignant cells | Sp (%) | Se (%) | PPV (%) | NPV (%) | Diagnostic accuracy (%) | AUC[95 % CI] | Bonferroni
|
|
| 100 | 66.7 | 100 | 77.9 | 84.7 | 0.833[0.768:0.899] | Reference |
|
| 100 | 72.6 | 100 | 81.1 | 87.4 | 0.863[0.786:0.940] | 1 |
|
| 100 | 76.5 | 100 | 83.3 | 89.2 | 0.882[0.824:0.941] | 0.646 |
|
| 100 | 84.3 | 100 | 88.2 | 92.8 | 0.922[0.871:0.972] | 0.004 |
|
| |||||||
|
| 100 | 78.4 | 100 | 84.5 | 89.2 | 0.892[0.823:0.922] | 0.039 |
|
| 100 | 84.3 | 100 | 88.2 | 92.8 | 0.922[0.871:0.972] | 0.004 |
Sp, specificity; Se, sensitivity; PPV, positive predictive value; NPV, negative predictive value.
Accuracy of diagnosis of malignancy after detection of malignant and suspicious cells with different sampling methods.
| Detection of malignant and suspicious cells | Sp (%) | Se (%) | PPV (%) | NPV (%) | Diagnostic accuracy (%) | AUC[95 % CI] |
|
|
| 95.0 | 80.4 | 93.2 | 85.1 | 88.3 | 0.877[0.804:0.950] | Reference |
|
| 95.0 | 84.3 | 93.5 | 87.7 | 90.0 | 0.897[0.829:0.964] | ND |
|
| 93.3 | 86.3 | 91.7 | 88.9 | 90.2 | 0.898[0.832:0.964] | ND |
|
| 91.7 | 94.1 | 90.6 | 94.8 | 92.8 | 0.945[0.895:0.994] | 0.054 |
Sp, specificity; Se, sensitivity; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the curve.ND = not determined because of irrelevance of this statistical comparison and the increase of alpha error if done.
AUCs were compared between “Brushing alone” and the “Three combined samples”.
Accuracy of diagnosis of malignancy after detection of malignant cells with different sampling methods for undetermined stenoses.
| Detection of malignant cells | Sp (%) | Se (%) | PPV (%) | NPV (%) | Diagnostic accuracy (%) | AUC[95 % CI] |
|
|
| 100 | 43.8 | 100 | 87.0 | 88.2 | 0.719[0.593:0.844] | Reference |
|
| 100 | 43.8 | 100 | 87.0 | 88.2 | ND | |
|
| 100 | 50.0 | 100 | 88.2 | 89.5 | ND | |
|
| 100 | 62.5 | 100 | 90.9 | 92.1 | 0.813[0.690:0.935] | 0.063 |
Sp, specificity; Se, sensitivity; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the curve.ND = not determined because of irrelevance of this statistical comparison and the increase of alpha error if done.
AUCs were compared between „Brushing alone” and the “Three combined samples”.
Accuracy of diagnosis of malignancy after detection of malignant and suspicious cells with different sampling methods for undetermined stenoses.
| Detection of suspicious and malignant cells | Sp (%) | Se (%) | PPV (%) | NPV (%) | Diagnostic accuracy (%) | AUC[95 % CI] |
|
|
| 95.0 | 68.8 | 78.6 | 91.9 | 89.5 | 0.819[0.698:0.939] | Reference |
|
| 95.0 | 68.8 | 78.6 | 91.9 | 89.5 | ND | |
|
| 93.3 | 68.8 | 73.3 | 91.8 | 88.2 | ND | |
|
| 91.7 | 87.5 | 73.7 | 96.5 | 90.8 | 0.896[0.805:0.987] | 0.136 |
Sp, specificity; Se, sensitivity; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the curve.ND = not determined because of irrelevance of this statistical comparison and the increase of alpha error if done.
AUCs were compared between “Brushing alone” and the “Three combined samples”.
Detection of malignant cells with or without dilatation before brushing.
| Detection of malignant cells | Dilatation (Yes/No) | Sp (%) | Se (%) | PPV (%) | NPV (%) | AUC[95 % CI] |
|
|
| No | 100 | 66.7 | 100 | 75.0 | 0.833[0.758:0.908] | Reference |
| Yes | 100 | 66.7 | 100 | 78.7 | 0.833[0.694:0.973] | 1.000 | |
|
| No | 100 | 66.7 | 100 | 78.7 | 0.833[0.758:0.908] | Reference |
| Yes | 100 | 91.7 | 100 | 92.3 | 0.958[0.877:1.000] | 0.027 | |
|
| No | 100 | 71.8 | 100 | 81.4 | 0.859[0.787:0.931] | Reference |
| Yes | 100 | 91.7 | 100 | 92.3 | 0.958[0.877:1.000] | 0.073 | |
|
| No | 100 | 83.7 | 100 | 85.7 | 0.897[0.833:0.962] | Reference |
| Yes | 100 | 100 | 100 | 100 | 1.000[1.000:1.000] | 0.002 |
Sp, specificity; Se, sensitivity; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the curve.
Detection of malignant cells with or without a prosthesis before ERCP.
| Detection of malignant cells | Prosthesis (Yes/No) | Sp (%) | Se (%) | PPV (%) | NPV (%) | AUC[95 % CI] |
|
|
| No | 100 | 69.6 | 100 | 77.0 | 0.847[0.781:0.915] | Reference |
| Yes | 100 | 40.0 | 100 | 81.2 | 0.700[0.460:0.940] | 0.245 | |
|
| No | 100 | 78.7 | 100 | 82.5 | 0.891[0.831:0.952] | Reference |
| Yes | 100 | 20.0 | 100 | 76.5 | 0.600[0.404:0.796] | 0.005 | |
|
| No | 100 | 80.4 | 100 | 83.9 | 0.902[0.844:0.960] | Reference |
| Yes | 100 | 40.0 | 100 | 81.2 | 0.700[0.460:0.940] | 0.109 | |
|
| No | 100 | 89.1 | 100 | 90.4 | 0.945[0.900:0.991] | Reference |
| Yes | 100 | 40.0 | 100 | 81.2 | 0.700[0.460:0.940] | 0.049 |
Sp, specificity; Se, sensitivity; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the curve.