Literature DB >> 31115625

Combination of CT findings can reliably predict radiolucent common bile duct stones: a novel approach using a CT-based nomogram.

Ji Hye Min1, Kyung Sook Shin2, Jeong Eun Lee3, Seo-Youn Choi4, Soohyun Ahn5.   

Abstract

OBJECTIVES: To identify CT features that reliably predict the presence of radiolucent common bile duct (CBD) stones.
MATERIALS AND METHODS: This retrospective study included 112 patients (mean age, 60.6 years) with clinically suspected CBD stones that were not visible on CT. All patients had undergone CT followed by endoscopic retrograde cholangiopancreatography (ERCP) to confirm the presence (n = 66) or absence (n = 46) of CBD stones. Two radiologists independently evaluated the CT images. Univariable and multivariable logistic regression analyses were performed to identify demographic, laboratory, and CT predictors for CBD stones. We developed a nomogram based on these results and assessed its performance.
RESULTS: In the multivariate analysis, CBD diameter ≥ 8 mm (odds ratio [OR], 10.12; p < 0.001), pericholecystic fat infiltration (OR, 3.76, p = 0.014), and papillitis (OR, 2.85; p < 0.049) were independent CT predictors of CBD stones. Combination of all three features had a specificity of 100%. Of these features, CBD diameter ≥ 8 mm was the best single predictor. The CT-based nomogram had an area under the curve (AUC) of 0.847 (95% confidence interval [CI], 0.777-0.916) and an accuracy of 77.7% (95% CI, 69.1-84.4%).
CONCLUSIONS: The combination of significant CT features (CBD diameter ≥ 8 mm, pericholecystic fat infiltration, and papillitis) translated into a nomogram allows a reliable estimation of CBD stone presence. It may serve as a decision support tool to determine whether to proceed to further diagnostic tests or treatment option. KEY POINTS: • CBD diameter ≥ 8 mm (odds ratio [OR] = 10.12, p < 0.001), pericholecystic fat infiltration (OR = 3.76, p = 0.014), and papillitis (OR = 2.85, p = 0.049) were independent predictors of radiolucent CBD stones. • A CBD diameter ≥ 8 mm was the best predictor of CBD stones. • A nomogram based on a combination of these three CT signs predicted the presence of CBD stones and helped classify patients that should go immediately to ERCP, those who require a further investigation, and those who can safely be managed conservatively.

Entities:  

Keywords:  Common bile duct calculi; Diagnosis; Endoscopic retrograde cholangiopancreatography; Nomogram; Tomography, X-ray computed

Mesh:

Year:  2019        PMID: 31115625     DOI: 10.1007/s00330-019-06258-w

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  32 in total

1.  Contrast-enhanced helical CT of choledocholithiasis.

Authors:  Frank H Miller; Caroline M Hwang; Helena Gabriel; Lori A Goodhartz; Anees J Omar; Willis G Parsons
Journal:  AJR Am J Roentgenol       Date:  2003-07       Impact factor: 3.959

Review 2.  Acute cholecystitis: CT findings.

Authors:  E K Paulson
Journal:  Semin Ultrasound CT MR       Date:  2000-02       Impact factor: 1.875

Review 3.  Complications of endoscopic retrograde cholangiopancreatography: avoidance and management.

Authors:  Martin L Freeman
Journal:  Gastrointest Endosc Clin N Am       Date:  2012-07

4.  US diagnosis of choledocholithiasis: a reappraisal.

Authors:  J J Cronan
Journal:  Radiology       Date:  1986-10       Impact factor: 11.105

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Authors:  D M Einstein; S A Lapin; P W Ralls; J M Halls
Journal:  AJR Am J Roentgenol       Date:  1984-04       Impact factor: 3.959

6.  Computed tomography of choledocholithiasis.

Authors:  R B Jeffrey; M P Federle; F C Laing; S Wall; J Rego; A A Moss
Journal:  AJR Am J Roentgenol       Date:  1983-06       Impact factor: 3.959

7.  Ultrasonography, CT, and ERCP in the diagnosis of choledochal stones.

Authors:  P Pasanen; K Partanen; P Pikkarainen; E Alhava; A Pirinen; E Janatuinen
Journal:  Acta Radiol       Date:  1992-01       Impact factor: 1.990

8.  Scoring system to preoperatively predict choledocholithiasis.

Authors:  Sheshang U Kamath; Satish B Dharap; Vineet Kumar
Journal:  Indian J Gastroenterol       Date:  2016-05-05

9.  A scoring system for the prediction of choledocholithiasis: a prospective cohort study.

Authors:  Bilal O Al-Jiffry; Samah Khayat; Elfatih Abdeen; Tasadooq Hussain; Mohammed Yassin
Journal:  Ann Saudi Med       Date:  2016 Jan-Feb       Impact factor: 1.526

10.  Detectability of choledocholithiasis on CT: The effect of positive intraduodenal enteric contrast on portovenous contrast-enhanced studies.

Authors:  Amr M Ajlan; Benoît Mesurolle; Lawrence Stein; Ellen Kao; Giovanni Artho; Mashael Al-Rujaib; Caroline Reinhold
Journal:  Saudi J Gastroenterol       Date:  2015 Sep-Oct       Impact factor: 2.485

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