Validation of the Lacaine-Huguier predictive score for choledocholithiasis: Prospective study of 380 patients

Abstract

This study confirmed the validity of the Lacaine-Huguier score. When the score is less than 3.5, the surgeon can refrain from performing IOC with a risk of asymptomatic residual CBDS ranging from 0.6% to 4.5%.

2016 WSES guidelines on acute calculous cholecystitis

“…Холедохолитиаз, т.е. наличие камней в общем желчном протоке, наблюдается в 10-20% случаев у пациентов с желчнокаменной болезнью, с более низкой частотой при ОКХ, находящейся в диапазоне от 5 до 15% [119][120][121][122]. Обследование с целью выявления холедохолитиаза требует времени и может отсрочить хирургическое вмешательство.…”

“…Choledocholithiasis, i.e. the presence of common bile duct stones (CBDS), is reported ro occur in10% to 20% in case series of cholelithiasis, with lower incidence during ACC ranging from 5% to 15% of the patients [120][121][122][123]. Investigation for CBDS require time and can delay the surgical intervention.…”

Choledocholithiasis: when to Suspect, how to Diagnose, how to Treat

“…Pradėjus plačiai taikyti ERCP, atsirado poreikis nustatyti atvejus, kada procedūra reikalinga. Yra nemažai modelių ar vertinimo sistemų TLA tikimybei apskaičiuoti, dauguma jų remiasi klinikiniais, biocheminiais ir ultragarso duomenimis [28][29][30][31][32][33][34][35][36][37]. TLA vertinimo sistemų reziumė pateikta 1 lentelėje.…”

Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery

“…Surgical cholecystectomy (laparoscopic or open) is commonly used for treating patients with symptomatic gallstones. Prediction of asymptomatic concurrent common bile duct stones (CBDS), which occur in 10-15% of patients, is an important factor in terms of reduction of operative risks and health care costs [3]. In establishing a firm diagnosis, the standard preoperative diagnostic procedures used to diagnose patients with gallstones (liver function tests [LFTs] and abdominal ultrasound [US]) or risk factors for CBDS (abnormal LFTs, jaundice, bile duct dilation [BDD]) are often found not to be accurate enough [4].…”

“…Consequently, non-invasive methods for diagnosis of CBDS such as prognostic model have been shown to be a desirable goal [7,8]. Previous studies have suggested various predictive models relying on logistic regression [9,10], regression trees [11], multivariate regression [3,[12][13][14], discriminant functions [15] and artificial neural networks (ANNs) for predicting CBDS [16].…”