Dynamic sonography in the evaluation of jaundice

Haubek, Aksel; Jh, Pedersen; Burcharth, F; Gammelgaard, Jens; Hancke, S; Willumsen, L

doi:10.2214/ajr.136.6.1071

Cited by 30 publications

(16 citation statements)

References 16 publications

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“…The success rate in diagnosing specific cause has continued to improve with advancing high resolution equipment, scanning technique and interpretive skills. 8 In a study conducted by Varghese et al, ultrasound was found to have specificity of 100% and diagnostic accuracy of 89% respectively, in diagnosing choledocholithiasis. 9 In the present study, we found that sensitivity and specificity of USG in diagnosing choledocholithiasis was 100% and 89% respectively which were comparable to that of some series 97% of 150 patients, 95% of 40 patients and 86% of 35 patients.…”

Section: Discussionmentioning

confidence: 97%

Role of Ultrasound as Compared with ERCP in Patient With Obstructive Jaundice

Karki

Joshi

Regmi

et al. 2015

Kathmandu Univ. Med. J.

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Section: Discussionmentioning

confidence: 97%

Role of Ultrasound as Compared with ERCP in Patient With Obstructive Jaundice

Karki

Joshi

Regmi

et al. 2015

Kathmandu Univ. Med. J.

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“…Diagnosis of such disorders on purely clinical grounds is a difficult task, requiring much experience, as has been shown in several studies [15,22,4,32,33]. Clinicians with little experience in the field of hepatology have shown to produce a correct specific diagnosis in patients with jaundice in less than 45% of the cases [31].…”

Section: Clinical Diagnosis In Hepatologymentioning

confidence: 99%

Converting a rule-based expert system into a belief network

Korver

Lucas

1993

Medical Informatics

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The theory of belief networks offers a relatively new approach for dealing with uncertain information in knowledge-based (expert) systems. In contrast with the heuristic techniques for reasoning with uncertainty employed in many rule-based expert systems, the theory of belief networks is mathematically sound, based on techniques from probability theory. It therefore seems attractive to convert existing rule-based expert systems into belief networks. In this article, we discuss the design of a belief network reformulation of the diagnostic rule-based expert system HEPAR. For the purpose of this experiment, we have studied several typical pieces of medical knowledge represented in the HEPAR system. It turned out that, due to the differences in the type of knowledge represented and in the formalism used to represent uncertainty, much of the medical knowledge required for building the belief network concerned could not be extracted from HEPAR. As a consequence, significant additional knowledge acquisition was required. However, the objects and attributes defined in the HEPAR system, as well as the conditions in production rules mentioning these objects and attributes were useful for guiding the selection of the statistical variables for building the belief network. The mapping of objects and attributes in HEPAR to statistical variables is discussed in detail.

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“…Trained clinicians can make a correct dis crimination between obstructive and nonob structive jaundice in 70-90% of jaundiced patients [3,[5][6][7]10], In our study, the clini cal classification of patients later proven to have obstructive jaundice was more difficult than the classification of patients with jaun dice due to nonobstructive conditions [3]. It …”

Section: Clinical Evaluationmentioning

confidence: 86%

“…The diagnostic accuracy of US has been evaluated in several prospective studies [10,[15][16][17][18][19], which all found US well suited for Fig. 1.…”

Section: Noninvasive Bile Duct Imagingmentioning

confidence: 99%

“…It is therefore important whenever possible to apply a single-target strategy in which diag nostic tests are used sequentially and where only tests with an accuracy higher than the a priori probability of the condition should come into question [48,49], A popular diagnostic strategy for differen tiation between nonobstructive and obstruc tive jaundice relies on US findings on nondilated or dilated bile ducts, respectively [50][51][52][53][54], Apparently, all clinical and biochemical information is discarded by this strategy em ploying US as primary test in all patients. However, clinical and biochemical informa tion may often allow quite accurate clinical diagnoses to be made as to the patency of the bile ducts [10,18]. In these studies, compar ing US and clinical information.…”

Section: Diagnostic Strategymentioning

confidence: 99%

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