Intrahepatic biliary stone disease is a difficult condition to treat, due to anatomical complexity of biliary tract, association with colestasis, and high recurrence rates, with potential short- and long-term complications, such as cholangitis and secondary biliary cirrhosis. Removal of biliary stones via intraductal access can be achieved endoscopically or percutaneously, with preference for cholangioscopy-guided laser lithotripsy in complex cases. The surgical approach, despite its prolonged results, is a more invasive and risky procedure. The authors present a case of cholangioscopy with percutaneous laser biliary lithotripsy as an option for the treatment of intrahepatic biliary stone disease associated with biliary stricture following biliodigestive anastomosis due to bile duct injury following cholecystectomy, a safe and effective alternative with low morbidity and satisfactory outcomes in follow-up.

Objective: To explore the magnetic resonance imaging (MRI) features and classification of intraductal papillary neoplasm of the bile duct (IPNB). Methods: Data from 90 patients with intraductal papillary neoplasm of the bile duct confirmed pathologically between June 2010 and January 2023 were retrospectively analyzed. The image analysis included the shape and location of the tumor, whether bile ducts had dilatation and the degree of dilation, whether there was a history of liver disease, whether there was a history of schistosomiasis, whether there was cancerous transformation, whether there were concurrent bile duct stones, whether there was hepatic lobe atrophy, whether there was hilar or abdominal lymph node enlargement, whether there was invasion of the bile duct wall, whether there was invasion of surrounding blood vessels, whether the tumor appears on T1-and T2 weighted imaging (T(1)WI and T(2)WI), whether the diffusion was limited, whether there was concurrent bleeding, enhancement rate, and whether there was abdominal fluid accumulation. Intraductal papillary neoplasms of the bile duct were divided into four types according to the morphological classification standards: type I (local bile duct dilation), type II (cystic), type III (free tumor), and type IV (dilated bile duct). The differences in the clinical and MRI features of the four groups of lesions were analyzed. Statistical analysis was performed with a t-test, an analysis of variance, and an χ(2)-test according to the different data. Results: Among the 90 cases with hepatic IPNB, there were 31 cases of type I, 15 cases of type II, 16 cases of type III, and 28 cases of type IV, 41 cases of liver left lobe, 11 cases of right and left lobe liver span, 7 cases of liver right lobes, 2 cases of liver caudate lobe, and 13 cases of hepatic hilar. There were statistically significant differences between the four groups (P < 0.05) in terms of age, clinical symptoms, direct bilirubin, γ-glutamyltransferase, whether they were cancerous, whether they were combined with bile duct stones, whether the liver lobes were atrophying, whether there was limited diffusion, intrahepatic bile duct diameter, and common bile duct diameter. However, there were no statistically significant differences among the four groups in gender, location, carbohydrate antigen 19-9, history of liver disease, history of schistosomiasis, carcinoembryonic antigen, alanine aminotransferase, aspartate aminotransferase, total bilirubin, whether hemorrhage was associated, lesion enhancement rate, whether the hilar/retroperitoneal lymph node was enlarged, whether the bile duct wall was invaded, whether blood vessels were invaded, and whether abdominal fluid was accumulated (P > 0.05). Conclusion: MRI manifestations have certain features for different types of intraductal papillary neoplasm of the bile duct tumors; hence, MRI aids in the diagnosis and differential diagnosis of this disease.
目的： 探讨肝内胆管内乳头状肿瘤（IPNB）的磁共振成像（MRI）特征及其分型。 方法： 回顾性分析2010年6月至2023年1月经病理证实的90例IPNB患者的资料，图像分析包括肿瘤的形态、位置、胆管有无扩张及扩张程度、有无肝病史、有无血吸虫病史、是否癌变、是否合并胆管结石、是否存在肝叶萎缩、有无肝门或腹腔淋巴结肿大、是否侵犯胆管壁、是否侵犯周围血管、肿瘤在T(1)加权成像（WI）、T(2)WI图像上的信号特征、是否扩散受限、是否合并出血、强化率、有无腹腔积液，根据形态学分类标准将IPNB分为4型，I型（局部胆管扩张型）、II型（囊肿型）、III型（无肿瘤型）、IV型(胆管扩张型)，分析4组病灶的临床及MRI特征差异。据资料不同采用t检验或方差分析、χ(2)检验进行统计学分析。 结果： 90例肝脏IPNB患者中I型31例，II型15例，III型16例，IV型28例；肝左叶41例，肝右叶11例，跨越肝左、右叶7例，肝尾状叶2例，肝门部13例；4组间在年龄、有无临床症状、直接胆红素、γ-谷氨酰转移酶、是否癌变、是否合并胆管结石、肝叶是否萎缩、是否扩散受限、肝内胆管直径、胆总管直径的比较差异有统计学意义（P<0.05）；4组间在性别、位置、糖类抗原19-9、有无肝病史、有无血吸虫病史、癌胚抗原、丙氨酸转氨酶、天冬氨酸转氨酶、总胆红素、是否合并出血、病灶强化率、肝门/腹膜后有无肿大淋巴结、是否侵犯胆管壁、是否侵犯血管、有无腹腔积液的比较差异无统计学意义（P>0.05）。 结论： 不同类型的IPNB的MRI表现有一定的特征，MRI有助于该病的诊断与鉴别诊断。.

Hepatic lymphoepithelioma-like carcinoma (LELC) is an extremely rare malignant tumor characterized by undifferentiated malignant epithelial cells and significant lymphatic infiltration. Hepatic LELC mainly includes lymphoepithelioma-like hepatocellular carcinoma (LEL-HCC) and lymphoepithelioma-like intrahepatic cholangiocarcinoma (LEL-CC). Epstein-Barr virus (EBV) infection is considered as an important factor in LELC carcinogenesis. Since 2005, Xiangya Hospital of Central South University has treated a total of 3 patients with EBV-associated LEL-CC, which all showed liver masses by CT scans. After surgical resection, the EBV encoded RNA (EBER) and CK19 expression in all 3 patients were positive, and pathological examination confirmed EBV-associated LEL-CC. Two patients had a good postoperative prognosis, while 1 patient received relevant immunotherapy and chemotherapy after surgery. Based on the analysis of existing literature, the author believes that hepatic LELC can be included in the classification of liver tumors, which will provide new ideas for the accurate diagnosis and treatment of hepatic LELC.
肝淋巴上皮瘤样癌(Lymphoepithelioma-like carcinoma，LELC)是一种极其罕见的恶性肿瘤，其特点是未分化的恶性上皮细胞及明显的淋巴浸润。肝LELC主要包括淋巴上皮瘤样肝细胞癌(lymphoepithelioma-like hepatocellular carcinoma，LEL-HCC)和淋巴上皮瘤样肝内胆管癌(lymphoepithelioma-like intrahepatic cholangiocarcinoma，LEL-CC)。EB病毒(Epstein-Barr virus，EBV)感染被认为是LELC癌变的重要因素。中南大学湘雅医院自2005年以来共收治3例EBV相关LEL-CC患者，CT均提示肝脏肿块，经手术切除后，3例患者EBV编码的RNA(EBV-encoded RNA，EBER)和CK19表达均为阳性，病理学证实为EBV相关的LEL-CC。2例患者术后预后良好，1例患者术后接受相关免疫治疗及化学治疗。结合现有文献分析，笔者认为可将肝LELC纳入肝肿瘤的分类，这将为肝LELC的精准诊断及治疗提供新思路。.

Intraductal papillary neoplasm of the bile duct (IPNB) is a heterogeneous disease similar to intraductal papillary mucinous neoplasm of the pancreas. These lesions have been recognized as one of the three major precancerous lesions in the biliary tract since 2010. In 2018, Japanese and Korean pathologists reached a consensus, classifying IPNBs into type l and type 2 IPNBs. IPNBs are more prevalent in male patients in East Asia and are closely related to diseases such as cholelithiasis and schistosomiasis. From a molecular genetic perspective, IPNBs exhibit early genetic variations, and different molecular pathways may be involved in the tumorigenesis of type 1 and type 2 IPNBs. The histological subtypes of IPNBs include gastric, intestinal, pancreaticobiliary, or oncocytic subtypes, but type 1 IPNBs typically exhibit more regular and well-organized histological features than type 2 IPNBs and are more commonly found in the intrahepatic bile ducts with abundant mucin. Due to the rarity of these lesions and the absence of specific clinical and laboratory features, imaging is crucial for the preoperative diagnosis of IPNB, with local bile duct dilation and growth along the bile ducts being the main imaging features. Surgical resection remains the optimal treatment for IPNBs, but negative bile duct margins and the removal of lymph nodes in the hepatic hilum significantly improve the postoperative survival rates for patients with IPNBs.

BACKGROUND: In primary sclerosing cholangitis (PSC), it is important to understand the cholangiographic findings suggestive of malignancy, but it is difficult to determine whether cholangiocarcinoma is present due to modifications caused by inflammation. This study aimed to clarify the appropriate method of pathological specimen collection during endoscopic retrograde cholangiopancreatography for surveillance of PSC.
METHODS: A retrospective observational study was performed on 59 patients with PSC. The endpoints were diagnostic performance for benign or malignant on bile cytology and transpapillary bile duct biopsy, cholangiographic findings of biopsied bile ducts, diameters of the strictures and upstream bile ducts, and their differences.
RESULTS: The sensitivity (77.8% vs. 14.3%, P = 0.04), specificity (97.8% vs. 83.0%, P = 0.04), and accuracy (94.5% vs. 74.1%, P = 0.007) were all significantly greater for bile duct biopsy than for bile cytology. All patients with cholangiocarcinoma with bile duct stricture presented with dominant stricture (DS). The diameter of the upstream bile ducts (7.1 (4.2-7.2) mm vs. 2.1 (1.2-4.1) mm, P < 0.001) and the diameter differences (6.6 (3.1-7) mm vs. 1.5 (0.2-3.6) mm, P < 0.001) were significantly greater in the cholangiocarcinoma group than in the noncholangiocarcinoma group with DS. For diameter differences, the optimal cutoff value for the diagnosis of benign or malignant was 5.1 mm (area under the curve = 0.972).
CONCLUSIONS: Transpapillary bile duct biopsy should be performed via localized DS with upstream dilation for the detection of cholangiocarcinoma in patients with PSC. Especially when the diameter differences are greater than 5 mm, the development of cholangiocarcinoma should be strongly suspected.

Cholangiocarcinoma (CCA) is a rare cancer of the bile duct epithelium, and in the last few decades its incidence rate has been increasing. It is associated with a high mortality rate due to late diagnosis and its aggressive nature. Many risk factors have been identified; some are more common in certain regions than others. CCA can be classified according to its anatomical location or macroscopic growth pattern, the latter being most helpful for imaging interpretation. Clinical features can vary from obstructive-like symptoms to nonspecific symptoms, such as weight loss and malaise. Imaging, specifically MRI/MRCP, is crucial in diagnosing CCA, staging, and treatment planning. Surgery with chemotherapy is the mainstay treatment option, and other palliative treatment options exist for those who have unresectable disease.

The term hepatolithiasis describes the presence of biliary stones within the intrahepatic bile ducts, above the hilar confluence of the hepatic ducts. The disease is more prevalent in Asia, mainly owing to socioeconomic and dietary factors, as well as the prevalence of biliary parasites. In the last century, owing to migration, its global incidence has increased. The main pathophysiological mechanisms involve cholangitis, bile infection and biliary strictures, creating a self-sustaining cycle that perpetuates the disease, frequently characterised by recurrent episodes of bacterial infection referred to as syndrome of \"recurrent pyogenic cholangitis\". Furthermore, long-standing hepatolithiasis is a known risk factor for development of intrahepatic cholangiocarcinoma. Various classifications have aimed at providing useful insight of clinically relevant aspects and guidance for treatment. The management of symptomatic patients and those with complications can be complex, and relies upon a multidisciplinary team of hepatologists, endoscopists, interventional radiologists and hepatobiliary surgeons, with the main goal being to offer relief from the clinical presentations and prevent the development of more serious complications. This comprehensive review provides insight on various aspects of hepatolithiasis, with a focus on epidemiology, new evidence on pathophysiology, most important clinical aspects, different classification systems and contemporary management.

A 91-year-old man had a history of cholecystectomy and choledochostomy for cholecystolithiasis and choledocholithiasis. Eleven years earlier, intrahepatic stones were found in the posterior bile duct, and he did not wish to undergo treatment. Over time, worsening of the intrahepatic stones and dilation of the intrahepatic bile duct were observed. At 91 years old, enhanced abdominal CT revealed wall thickening of the hilar bile duct, and MRCP showed stenosis of the hilar bile duct. Endoscopic retrograde cholangiography showed no contrast in the right intrahepatic bile duct and marked dilation of the left intrahepatic bile duct. Brush cytology confirmed adenocarcinoma, leading to a diagnosis of hilar cholangiocarcinoma. He underwent open right and caudal lobectomy with biliary reconstruction. Histopathological examination revealed a hilar cholangiocarcinoma, T3N1M0, Stage Ⅲc, mainly located at the confluence of the right and left hepatic ducts. This case suggests a potential association between hepatolithiasis and hilar cholangiocarcinoma, emphasizing the importance of regular imaging examinations for timely surgical resection. Early intervention, including liver resection, is recommended for the management of hepatolithiasis.

BACKGROUND: Biliary intraepithelial neoplasia (BilIN), a noninvasive precursor of cholangiocarcinoma, can manifest malignant transformation. Since cholangiocarcinoma (CCA) may progress due to chronic inflammation in the bile ducts and gallbladder, choledochal cysts are considered a precursor to CCA. However, BilIN has rarely been reported in children, to date.
METHODS: We reviewed medical records of patients (< 18 years of age, n = 329) who underwent choledochal cyst excision at Asan Medical Center from 2008 to 2022. BilIN was diagnosed in 15 patients. Subsequent analyses were performed of the demographics, surgical procedures, clinical course, and outcomes in these patients. Subgroup analysis and multivariate logistic regression test were performed to identify factors influencing BilIN occurrence.
RESULTS: The mean age of the patients included in our study was 40.1 ± 47.6 months. In 15 patients, BilIN of various grades was diagnosed. Todani type I was prevalent in 80% of the patients. The median age at surgery was 17 months. During a mean follow-up of 63.3 ± 94.0 months, no adverse events such as stone formation in the remnant intrapancreatic common bile duct and intrahepatic duct or cholangiocarcinoma were observed, indicating a favorable outcome until now.
CONCLUSIONS: The potential progression of choledochal cysts to BilIN in children was demonstrated. These results could underscore the importance of early and comprehensive excision of choledochal cysts, including resection margins for associated lesions and more thorough postoperative surveillance in patients with or at risk of BilIN.

OBJECTIVE: Prediction of lymph node metastasis (LNM) for intrahepatic cholangiocarcinoma (ICC) is critical for the treatment regimen and prognosis. We aim to develop and validate machine learning (ML)-based predictive models for LNM in patients with ICC.
METHODS: A total of 345 patients with clinicopathological characteristics confirmed ICC from Jan 2007 to Jan 2019 were enrolled. The predictors of LNM were identified by the least absolute shrinkage and selection operator (LASSO) and logistic analysis. The selected variables were used for developing prediction models for LNM by six ML algorithms, including Logistic regression (LR), Gradient boosting machine (GBM), Extreme gradient boosting (XGB), Random Forest (RF), Decision tree (DT), Multilayer perceptron (MLP). We applied 10-fold cross validation as internal validation and calculated the average of the areas under the receiver operating characteristic (ROC) curve to measure the performance of all models. A feature selection approach was applied to identify importance of predictors in each model. The heat map was used to investigate the correlation of features. Finally, we established a web calculator using the best-performing model.
RESULTS: In multivariate logistic regression analysis, factors including alcoholic liver disease (ALD), smoking, boundary, diameter, and white blood cell (WBC) were identified as independent predictors for LNM in patients with ICC. In internal validation, the average values of AUC of six models ranged from 0.820 to 0.908. The XGB model was identified as the best model, the average AUC was 0.908. Finally, we established a web calculator by XGB model, which was useful for clinicians to calculate the likelihood of LNM.
CONCLUSIONS: The proposed ML-based predicted models had a good performance to predict LNM of patients with ICC. XGB performed best. A web calculator based on the ML algorithm showed promise in assisting clinicians to predict LNM and developed individualized medical plans.