Predicting peritumoral Glisson’s sheath invasion of intrahepatic cholangiocarcinoma with preoperative CT imaging

Mao, Yingfan; Zhu, Yong; Qiu, Yudong; Kong, Weiwei; Mao, Liang; Zhou, Qun; Chen, Jun; He, Jian

doi:10.21037/qims.2018.12.11

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…Bile duct features such as bile duct stricture and dilatation are often observed in intrahepatic cholangiocarcinoma 5 ) ; however, these are relatively rare features of HCC 1 ) . Furthermore, preoperative diagnosis of bile duct tumor thrombus in HCC remains difficult, and several cases have been misdiagnosed before surgery 6 ) .…”

Section: Discussionmentioning

confidence: 99%

Peroral cholangioscopy for the evaluation of bile duct stricture in hepatocellular carcinoma on a preoperative examination

Chiba,

Aokawa,

Goto

et al. 2023

J Rural Med

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Objective: Bile duct tumor thrombosis in hepatocellular carcinoma (HCC) is a relatively rare event with a poor prognosis. Furthermore, bile duct tumor thrombus in HCC may be misdiagnosed when only imaging modalities are used. The efficiency of peroral cholangioscopy (POCS) in evaluating bile duct lesions has been reported. Patients: We present three cases of HCC with bile duct strictures in which POCS was performed as a preoperative evaluation. Results: In these three cases, diagnosing whether the lesion was a bile duct tumor thrombus on CT and endoscopic retrograde cholangiopancreatography was difficult. We performed POCS in three cases and were able to diagnose the presence of bile duct tumor thrombus of HCC, including differentiation from extrinsic compression of the bile duct. Conclusion: POCS for HCC with bile duct features is useful for the preoperative diagnosis of bile duct tumor thrombus, especially in cases where the surgical procedure depends on the presence of bile duct tumor thrombus.

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Section: Discussionmentioning

confidence: 99%

Peroral cholangioscopy for the evaluation of bile duct stricture in hepatocellular carcinoma on a preoperative examination

Chiba,

Aokawa,

Goto

et al. 2023

J Rural Med

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“…Decision curve analysis (DCA) was performed on the training and test sets to determine their clinical usefulness by quantifying the net gain in the model at various threshold probabilities. The other statistical analyses were performed using R ( https://www.r-project.org/ ) [ 14 , 15 ].…”

Section: Methodsmentioning

confidence: 99%

Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs)

Zhang

et al. 2022

Computational and Mathematical Methods in Medicine

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Purpose. Based on computerized tomography (CT) radiomics and clinical data, a model was established to predict the prognosis of patients with gastrointestinal pancreatic neuroendocrine neoplasms (GP-NENs). Methods. In the data collection, the clinical imaging and survival follow-up data of 225 GP-NENs patients admitted to Xiangyang No.1 People’s Hospital and Jiangsu Province Hospital of Chinese Medicine from August 2015 to February 2021 were collected. According to the follow-up results, they were divided into the nonrecurrent group ( n = 108 ) and the recurrent group ( n = 117 ), based on which a training set and a test set were established at a ratio of 7/3. In the training set, a variety of models were established with significant clinical and imaging data ( P < 0.05 ) to predict the prognosis of GP-NENs patients, and then these models were verified in the test set. Results. Our newly developed combined prediction model had high predictive efficacy. Univariate analysis showed that Radscore 1/2/3, age, Ki-67 index, tumor pathological type, tumor primary site, and TNM stage were risk factors for the prognosis of GP-NENs patients (all P < 0.05 ). The area under the receiver operating characteristic (ROC) curves (AUC) of the combined model was significantly higher [AUC:0.824, 95% CI 0.0342 (0.751-0.883)] than that of the clinical data model [AUC:0.786, 95% CI 0.0384(0.709-0.851)] and the radiomics model [AUC:0.712, 95% CI 0.0426(0.631-0.785)]. The decision curve also confirmed that the combined model had a higher clinical net benefit. The same results were achieved in the test set. Conclusion. The prognosis of patients with GP-NENs is generally poor. The combined model based on clinical data and CT radiomics can help to early predict the prognosis of patients with GP-NENs, and then necessary interventions could be provided to improve the survival rate and quality of life of patients.

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Predicting peritumoral Glisson’s sheath invasion of intrahepatic cholangiocarcinoma with preoperative CT imaging

Cited by 2 publications

References 29 publications

Peroral cholangioscopy for the evaluation of bile duct stricture in hepatocellular carcinoma on a preoperative examination

Peroral cholangioscopy for the evaluation of bile duct stricture in hepatocellular carcinoma on a preoperative examination

Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs)

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