Update on Biliary Cancer Imaging

Kim, Dong Wook; Kim, So Yeon; Yoo, Changhoon; Hwang, Dae Wook

doi:10.1016/j.rcl.2022.05.001

Cited by 7 publications

(4 citation statements)

References 96 publications

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“…In both cases, the additional finding of focal hypovascular liver lesions with a peripheral halo and perihilar and retroperitoneal lymphadenopathy further support the diagnosis of biliary obstruction towards a malignant origin[ 7 , 8 ].…”

Section: To the Editormentioning

confidence: 88%

Imaging features of malignant vs stone-induced biliary obstruction: Aspects to consider

Lindner

2024

World J Clin Cases

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Radiological studies play a crucial role in the evaluation of patients with biliary duct obstruction, allowing for the guidance of clinical diagnosis towards a malignant or stone-induced etiology through the recognition of relevant imaging features, which must be continuously revisited given their prognostic significance. This article aims to emphasize the importance of recognizing crucial imaging aspects of malignant and stone-induced biliary obstruction.

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Section: To the Editormentioning

confidence: 88%

Imaging features of malignant vs stone-induced biliary obstruction: Aspects to consider

Lindner

2024

World J Clin Cases

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“…As a non-invasive diagnostic tool, MRI has been widely used in the diagnosis and treatment of ECC [ 9 ]. MRI can provide high-resolution images that can display the location, shape, size, and infiltration range of ECC, which plays an important role in preoperative evaluation, selection of surgical plans, and evaluation of treatment effects and recurrence [ 10 ]. Additionally, MRI can also be utilized for assessing the correlation between lesions of bile duct cancer and adjacent tissues or vital structures.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, MRI can also be utilized for assessing the correlation between lesions of bile duct cancer and adjacent tissues or vital structures. By comparing the discrepancies in MRI signals between normal surrounding tissues of the bile duct and those surrounding the lesion of cholangiocarcinoma, it becomes feasible to determine whether there is infiltration into the neighboring tissue by the lesion, thereby aiding in evaluating the extent of tumor invasion and metastasis [ 10 , 11 ]. In recent years, the utility of MRI as a prognostic tool for postoperative survival in ECC patients has increasingly come into focus [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Survival analysis of patients with extrahepatic cholangiocarcinoma: a nomogram for clinical and MRI features

Zeng,

Wang,

et al. 2024

BMC Med Imaging

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Background This study aimed to establish a predictive model to estimate the postoperative prognosis of patients with extrahepatic cholangiocarcinoma (ECC) based on preoperative clinical and MRI features. Methods A total of 104 patients with ECC confirmed by surgery and pathology were enrolled from January 2013 to July 2021, whose preoperative clinical, laboratory, and MRI data were retrospectively collected and examined, and the effects of clinical and imaging characteristics on overall survival (OS) were analyzed by constructing Cox proportional hazard regression models. A nomogram was constructed to predict OS, and calibration curves and time-dependent receiver operating characteristic (ROC) curves were employed to assess OS accuracy. Results Multivariate regression analyses revealed that gender, DBIL, ALT, GGT, tumor size, lesion’s position, the signal intensity ratio of liver to paraspinal muscle (SIRLiver/Muscle), and the signal intensity ratio of spleen to paraspinal muscle (SIRSpleen/Muscle) on T2WI sequences were significantly associated with OS, and these variables were included in a nomogram. The concordance index of nomogram for predicting OS was 0.766, and the AUC values of the nomogram predicting 1-year and 2-year OS rates were 0.838 and 0.863, respectively. The calibration curve demonstrated good agreement between predicted and observed OS. 5-fold and 10-fold cross-validation show good stability of nomogram predictions. Conclusions Our nomogram based on clinical, laboratory, and MRI features well predicted OS of ECC patients, and could be considered as a convenient and personalized prediction tool for clinicians to make decisions.

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“…As a non-invasive diagnostic tool, MRI has been widely used in the diagnosis and treatment of ECC [9]. MRI can provide high-resolution images that can display the location, shape, size, and in ltration range of ECC, which plays an important role in preoperative evaluation, selection of surgical plans, and evaluation of treatment effects and recurrence [10]. Additionally, MRI can evaluate the relationship between lesions and surrounding tissues or important structures, as well as the MRI signal changes of surrounding tissues, which is bene cial for evaluating disease progression and prognostic evaluation [10,11].…”

Section: Introductionmentioning

confidence: 99%

Survival analysis of patients with extrahepatic cholangiocarcinoma: A nomogram for clinical and MRI features

Zeng

Wang

et al. 2023

Preprint

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Background This study aimed to establish a predictive model to estimate the postoperative prognosis of patients with extrahepatic cholangiocarcinoma (ECC) based on preoperative clinical and MRI features. Methods A total of 104 patients with ECC confirmed by surgery and pathology were enrolled from January 2013 to July 2021, whose preoperative clinical, laboratory, and MRI data were retrospectively collected and examined, and the effects of clinical and imaging characteristics on overall survival (OS) were analyzed by constructing Cox proportional hazard regression models. A nomogram was constructed to predict OS, and calibration curves and time-dependent receiver operating characteristic (ROC) curves were employed to assess OS accuracy. Results Multivariate regression analyses revealed that gender, DBIL, ALT, GGT, tumor size, lesion’s position, the signal intensity ratio of liver to paraspinal muscle (SIRLiver/Muscle), and the signal intensity ratio of spleen to paraspinal muscle (SIRSpleen/Muscle) on T2WI sequences were significantly associated with OS, and these variables were included in a nomogram. The concordance index of nomogram for predicting OS was 0.766, and the AUC values of the nomogram predicting 1-year and 2-year OS rates were 0.838 and 0.863, respectively. The calibration curve demonstrated good agreement between predicted and observed OS. 5-fold and 10-fold cross-validation show good stability of nomogram predictions Conclusions Our nomogram based on clinical, laboratory, and MRI features well predicted OS of ECC patients, and could be considered as a convenient and personalized prediction tool for clinicians to make decisions.

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Update on Biliary Cancer Imaging

Cited by 7 publications

References 96 publications

Imaging features of malignant vs stone-induced biliary obstruction: Aspects to consider

Imaging features of malignant vs stone-induced biliary obstruction: Aspects to consider

Survival analysis of patients with extrahepatic cholangiocarcinoma: a nomogram for clinical and MRI features

Survival analysis of patients with extrahepatic cholangiocarcinoma: A nomogram for clinical and MRI features

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