The value of endoscopic ultrasonography for differential diagnosis in obstructive jaundice of the distal common bile duct

She, Yu Mo; Guo, Nan

doi:10.1080/17474124.2022.2098111

Cited by 2 publications

(2 citation statements)

References 127 publications

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“…On the other hand, imaging modalities have revolutionized the diagnosis and characterization of obstructive jaundice. Techniques such as ultrasonography (US), computed tomography (CT), magnetic resonance imaging (MRI) and endoscopic retrograde cholangiopancreatography (ERCP) offer detailed anatomical visualization of the hepatobiliary system, enabling the identification of the underlying cause of obstruction [7]. Moreover, advancements in imaging technology, such as contrast-enhanced imaging and three-dimensional reconstruction, have further enhanced diagnostic accuracy of obstructive jaundice-associated HPB diseases [8,9].…”

Section: Introductionmentioning

confidence: 99%

Insights to obstructive jaundice: comprehensive analysis and machine learning-based diagnostics in over 5000 individuals

Wen,

Wang,

Xiong

et al. 2024

Preprint

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BackgroundObstructive jaundice is a common problem associated with diverse etiologies which has not been thoroughly investigated in large-scale cohorts. Our study involved the largest retrospective cohort of obstructive jaundice to date, exploring the spectrum of diseases while establishing a diagnostic system with machine learning (ML) methods based on routine laboratory tests.MethodsThis study involves two retrospective observational cohorts from China. The biliary surgery cohort (BS cohort, n=349) served for initial data exploration and external validation of ML models, while the large general cohort (LG cohort, n=5726) enabled comprehensive data analysis and ML model construction. Interpretable ML techniques were employed to derive insights from the models.ResultsThe LG cohort exhibited a more diverse disease spectrum compared to the BS cohort, with pancreatic adenocarcinoma, common bile duct stones, distal cholangiocarcinoma, perihilar cholangiocarcinoma, and acute pancreatitis (non-calculous) identified as the top five causes of obstructive jaundice. Traditional serum markers such as CA 19-9 and CEA did not emerge as standalone diagnostic markers for obstructive jaundice. Leveraging ML techniques, we developed two models collectively named as the MOLT model: one effectively distinguishes between benign and malignant causes (AUROC=0.862), while the other provides nuanced insights by further categorizing malignancies into three tiers and benign diseases into two (ACC=0.777). Interpretable ML tools revealed key features contributing to the decision-making process of each model.ConclusionsThrough our study, we uncovered the diagnostic potential of routine laboratory tests in obstructive jaundice, enabling the development of a practical diagnostic tool based on interpretable ML models. These findings may pave the way for personalized and user-friendly diagnosis of obstructive jaundice, thereby aiding clinical decision-making.

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Section: Introductionmentioning

confidence: 99%

Insights to obstructive jaundice: comprehensive analysis and machine learning-based diagnostics in over 5000 individuals

Wen,

Wang,

Xiong

et al. 2024

Preprint

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“…In this way ERCP associated complications can be avoided. 9 MRCP can also be used in the patients noncompliant to ERCP or those patients who had failed ERCP previously. 10 Purpose of this study is to highlight the uses of MRCP as a non-invasive technique to diagnose hepatobiliary and pancreatic pathologies avoiding complications related to ERCP.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Accuracy of Magnetic Resonance Cholangiopancreatography in Comparison to Endoscopic Retrograde Cholangiopancreatography in Obstructive Biliopathy

Naich¹,

Hussain²,

Zamir³

et al. 2022

PJMHS

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Objective: To determine the diagnostic accuracy of magnetic-resonance-cholangio-pancreatography (MRCP) in diagnosis of obstructive biliopathy in comparison to endoscopic retrograde cholangio-pancreatography (ERCP) taking as gold standard. Study design: It is a cross sectional study. Place and duration of study: Study was conducted on the patients admitted in the gastroenterology department of Sir Ganga Ram Hospital Lahore. Study was completed in six months duration from January 2022 to June 2022. Methodology: Patients with the suspicion of obstructive biliopathies requiring ERCP were included in this study. Study sample was divided into two groups, in one group ERCP was done while other group underwent MRCP. Resulst of both techniques were reviewed by radiologist and gastroenterologist and compared with each other considering ERCP as gold standard. P-value <0.05 was considered statistically significance. Confidence interval was 95%. Results: Total 130 cases were divided into two groups with equal number of 65 patients in each. There were 75(57.6%) female and 55(42.3%) male cases. Mean age of the patients was 43.7± 3.5 years. Sensitivity of MRCP for obstructive biliopathies was 92.4%, specificity 90.7%, positive predictive value 88.3% and negative predictive value 89.2%. Conclusion: MRCP is a non-invasive investigation of choice in obstructive biliopathies having high diagnostic accuracy avoiding unnecessary complications of ERCPs. Keywords: MRCP, ERCP, Obstructive Biliopathy, CBD Stone, Stricture

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The value of endoscopic ultrasonography for differential diagnosis in obstructive jaundice of the distal common bile duct

Cited by 2 publications

References 127 publications

Insights to obstructive jaundice: comprehensive analysis and machine learning-based diagnostics in over 5000 individuals

Insights to obstructive jaundice: comprehensive analysis and machine learning-based diagnostics in over 5000 individuals

Diagnostic Accuracy of Magnetic Resonance Cholangiopancreatography in Comparison to Endoscopic Retrograde Cholangiopancreatography in Obstructive Biliopathy

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