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  1. Article ; Online: From text to texture: a glossary transforms the pulmonary nodule paradigm.

    Kifjak, Daria / El Kaddouri, Bilal / Madani, Seyedeh Panid / de Margerie-Mellon, Constance / Heidinger, Benedikt H

    European radiology

    2024  

    Language English
    Publishing date 2024-04-22
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-024-10763-y
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  2. Article ; Online: Diffuse infiltrative hepatocellular carcinoma: Multimodality imaging manifestations.

    Madani, Seyedeh Panid / Mirza-Aghazadeh-Attari, Mohammad / Mohseni, Alireza / Pawlik, Timothy / Kamel, Ihab R

    Journal of surgical oncology

    2022  Volume 127, Issue 3, Page(s) 385–393

    Abstract: Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, being the third most common cause of cancer-related death globally. HCC most frequently develops in the context of hepatic cirrhosis. HCC can manifest as various morphologic ... ...

    Abstract Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, being the third most common cause of cancer-related death globally. HCC most frequently develops in the context of hepatic cirrhosis. HCC can manifest as various morphologic subtypes. Each pattern exhibits distinct behaviors in terms of imaging features, disease progression, response to therapy, and prognosis. While the nodular pattern is the most frequent subtype, infiltrative HCC is the least prevalent and makes up about 8%-20% of all HCC cases. Infiltrative HCC manifests as small tumor nodules that often spread across the entire liver or across a hepatic segment/lobe and is not identified as a focal tumor. On ultrasonography, infiltrative HCC presents as a markedly heterogeneous area with ill-defined echotexture, making it difficult to distinguish from background hepatic cirrhosis. On magnetic resonance imaging (MRI), infiltrating HCC typically manifests as a mild, poorly defined hepatic region with heterogeneous or homogenous aberrant signal intensity. Specifically, on T1-weighted MRI scans, infiltrating HCC frequently appears as largely hypointense and typically homogenous and mildly to moderately hyperintense on T2-weighted imaging. Infiltrative HCC frequently lacks a clearly defined boundary on cross-sectional imaging and can consequently fade into the background of the cirrhotic liver. As a result, infiltrating HCC is frequently not discovered until an advanced stage and has an associated poor prognosis. Thus, understanding imaging features associated with infiltrative HCC diagnosis is crucial for abdominal radiologists to ensure effective and timely care. We herein review imaging characteristics of infiltrative HCC.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/pathology ; Magnetic Resonance Imaging/methods ; Liver Cirrhosis/diagnostic imaging ; Liver Cirrhosis/pathology ; Contrast Media
    Chemical Substances Contrast Media
    Language English
    Publishing date 2022-11-14
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 82063-5
    ISSN 1096-9098 ; 0022-4790
    ISSN (online) 1096-9098
    ISSN 0022-4790
    DOI 10.1002/jso.27138
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  3. Article ; Online: Multimodality imaging of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.

    Shahbazian, Haneyeh / Mirza-Aghazadeh-Attari, Mohammad / Borhani, Ali / Mohseni, Alireza / Madani, Seyedeh Panid / Ansari, Golnoosh / Pawlik, Timothy M / Kamel, Ihab R

    Journal of surgical oncology

    2023  Volume 128, Issue 4, Page(s) 519–530

    Abstract: Hepatocellular carcinoma and intrahepatic cholangiocarcinoma are the two most common primary malignant tumors of the liver. The similarities and variations in imaging characteristics that may aid in distinguishing between these two primary tumors will be ...

    Abstract Hepatocellular carcinoma and intrahepatic cholangiocarcinoma are the two most common primary malignant tumors of the liver. The similarities and variations in imaging characteristics that may aid in distinguishing between these two primary tumors will be discussed and outlined in this review. Knowledge of imaging techniques that are currently available would assist in the differentiation between these primary malignancies.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/pathology ; Cholangiocarcinoma/diagnostic imaging ; Cholangiocarcinoma/pathology ; Bile Duct Neoplasms/diagnostic imaging ; Bile Duct Neoplasms/pathology ; Bile Ducts, Intrahepatic/diagnostic imaging ; Bile Ducts, Intrahepatic/pathology ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 82063-5
    ISSN 1096-9098 ; 0022-4790
    ISSN (online) 1096-9098
    ISSN 0022-4790
    DOI 10.1002/jso.27396
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  4. Article ; Online: Predictive role of radiomics features extracted from preoperative cross-sectional imaging of pancreatic ductal adenocarcinoma in detecting lymph node metastasis: a systemic review and meta-analysis.

    Mirza-Aghazadeh-Attari, Mohammad / Madani, Seyedeh Panid / Shahbazian, Haneyeh / Ansari, Golnoosh / Mohseni, Alireza / Borhani, Ali / Afyouni, Shadi / Kamel, Ihab R

    Abdominal radiology (New York)

    2023  Volume 48, Issue 8, Page(s) 2570–2584

    Abstract: Lymph node metastases are associated with poor clinical outcomes in pancreatic ductal adenocarcinoma (PDAC). In preoperative imaging, conventional diagnostic modalities do not provide the desired accuracy in diagnosing lymph node metastasis. The current ... ...

    Abstract Lymph node metastases are associated with poor clinical outcomes in pancreatic ductal adenocarcinoma (PDAC). In preoperative imaging, conventional diagnostic modalities do not provide the desired accuracy in diagnosing lymph node metastasis. The current review aims to determine the pooled diagnostic profile of studies examining the role of radiomics features in detecting lymph node metastasis in PDAC. PubMed, Google Scholar, and Embase databases were searched for relevant articles. The quality of the studies was examined using the Radiomics Quality Score and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tools. Pooled results for sensitivity, specificity, likelihood, and odds ratios with the corresponding 95% confidence intervals (CIs) were calculated using a random-effect model (DerSimonian-Liard method). No significant publication bias was detected among the studies included in this meta-analysis. The pooled sensitivity of the validation datasets included in the study was 77.4% (72.7%, 81.5%) and pooled specificity was 72.4% (63.8, 79.6%). The diagnostic odds ratio of the validation datasets was 9.6 (6.0, 15.2). No statistically significant heterogeneity was detected for sensitivity and odds ratio (P values of 0.3 and 0.08, respectively). However, there was significant heterogeneity concerning specificity (P = 0.003). The pretest probability of having lymph node metastasis in the pooled databases was 52% and a positive post-test probability was 76% after the radiomics features were used, showing a net benefit of 24%. Classifiers trained on radiomics features extracted from preoperative images can improve the sensitivity and specificity of conventional cross-sectional imaging in detecting lymph node metastasis in PDAC.
    MeSH term(s) Humans ; Lymphatic Metastasis/diagnostic imaging ; Pancreatic Neoplasms/diagnostic imaging ; Pancreatic Neoplasms/pathology ; Carcinoma, Pancreatic Ductal/diagnostic imaging ; Carcinoma, Pancreatic Ductal/pathology ; Sensitivity and Specificity ; Pancreatic Neoplasms
    Language English
    Publishing date 2023-05-18
    Publishing country United States
    Document type Meta-Analysis ; Journal Article ; Review ; Systematic Review
    ZDB-ID 2839786-1
    ISSN 2366-0058 ; 2366-004X
    ISSN (online) 2366-0058
    ISSN 2366-004X
    DOI 10.1007/s00261-023-03940-y
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  5. Article ; Online: Response Assessment of Primary Liver Tumors to Novel Therapies: an Imaging Perspective.

    Ansari, Golnoosh / Mirza-Aghazadeh-Attari, Mohammad / Mohseni, Alireza / Madani, Seyedeh Panid / Shahbazian, Haneyeh / Pawlik, Timothy M / Kamel, Ihab R

    Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract

    2023  Volume 27, Issue 10, Page(s) 2245–2259

    Abstract: The latest developments in cancer immunotherapy, namely the introduction of immune checkpoint inhibitors, have led to a fundamental change in advanced cancer treatments. Imaging is crucial to identify tumor response accurately and delineate prognosis in ... ...

    Abstract The latest developments in cancer immunotherapy, namely the introduction of immune checkpoint inhibitors, have led to a fundamental change in advanced cancer treatments. Imaging is crucial to identify tumor response accurately and delineate prognosis in immunotherapy-treated patients. Simultaneously, advances in image acquisition techniques, notably functional and molecular imaging, have facilitated more accurate pretreatment evaluation, assessment of response to therapy, and monitoring for tumor recurrence. Traditional approaches to assessing tumor progression, such as RECIST, rely on changes in tumor size, while new strategies for evaluating tumor response to therapy, such as the mRECIST and the EASL, rely on tumor enhancement. Moreover, the assessment of tumor volume, enhancement, cellularity, and perfusion are some novel techniques that have been investigated. Validation of these novel approaches should rely on comparing their results with those of standard evaluation methods (EASL, mRECIST) while considering the ultimate outcome, which is patient survival. More recently, immunotherapy has been used in the management of primary liver tumors. However, little is known about its efficacy. This article reviews imaging modalities and techniques for assessing tumor response and survival in immunotherapy-treated patients with primary hepatic malignancies.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/pathology ; Treatment Outcome ; Neoplasm Recurrence, Local ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/therapy
    Language English
    Publishing date 2023-07-18
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2012365-6
    ISSN 1873-4626 ; 1934-3213 ; 1091-255X
    ISSN (online) 1873-4626 ; 1934-3213
    ISSN 1091-255X
    DOI 10.1007/s11605-023-05762-1
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  6. Article ; Online: Predicting survival of patients with advanced hepatocellular carcinoma receiving combination targeted immunotherapy: an evaluation of volumetric imaging parameters.

    Mohseni, Alireza / Baghdadi, Azarakhsh / Madani, Seyedeh Panid / Shahbazian, Haneyeh / Mirza-Aghazadeh-Attari, Mohammad / Borhani, Ali / Afyouni, Shadi / Zandieh, Ghazal / Baretti, Marina / Kim, Amy K / Yarchoan, Mark / Kamel, Ihab R

    Abdominal radiology (New York)

    2024  

    Abstract: Purpose: To evaluate the potential of volumetric imaging in predicting survival of advanced hepatocellular carcinoma (HCC) patients receiving immunotherapy.: Methods: Retrospective analysis included 40 patients with advanced HCC who received targeted ...

    Abstract Purpose: To evaluate the potential of volumetric imaging in predicting survival of advanced hepatocellular carcinoma (HCC) patients receiving immunotherapy.
    Methods: Retrospective analysis included 40 patients with advanced HCC who received targeted immunotherapy. Baseline and follow-up contrast-enhanced abdominal computed tomography (CT) scans were analyzed. The largest tumor was chosen as the index lesion. Viable tumor volume (qViable) and percentage tumor viability (%Viability) were calculated. Response Evaluation Criteria in Solid Tumors (RECIST) and Tumor volume change after treatment (qRECIST) were measured. Associations with overall survival (OS) were assessed. Cox regression analysis assessed the association between variables and overall survival (OS). A new prognostic stratification system was attempted to categorize patients based on significant predictors of OS. Patients with a baseline %viability > 69% and %viability reduction ≥ 8% were classified as better prognosis. Patients were stratified into better, intermediate and worse prognosis groups based on baseline %viability > 69% and ≥ 8% %viability reduction (better prognosis); baseline %viability ≤ 69% and < 8% %viability reduction (worse prognosis); remainder were intermediate prognosis.
    Results: Patients with baseline %Viability > 69% and %Viability reduction ≥ 8% showed significantly higher OS. Multivariate analysis confirmed %Viability and %Viability reduction as significant predictors of OS. A prognostic stratification system using these parameters stratified patients into better, intermediate and worse prognosis groups, with the better prognosis showing highest OS. Most patients (97.5%) had stable disease by RECIST while the prognostic model re-classified 47.5% as better prognosis, 37.5% intermediate prognosis, and 15% worse prognosis.
    Conclusion: Volumetric parameters of %Viability and %Viability reduction predict OS in HCC patients undergoing immunotherapy.
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2839786-1
    ISSN 2366-0058 ; 2366-004X
    ISSN (online) 2366-0058
    ISSN 2366-004X
    DOI 10.1007/s00261-024-04257-0
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  7. Article ; Online: Screening for exclusion of high-risk bleeding features of esophageal varices in cirrhosis through CT and MRI.

    Borhani, Ali / Luu, Harry / Mohseni, Alireza / Xu, Ziyi / Shaghaghi, Mohammadreza / Tolosa, Celestina / Attari, Mohammad Mirza Aghazadeh / Madani, Seyedeh Panid / Shahbazian, Haneyeh / Khoshpouri, Pegah / Afyouni, Shadi / Zandieh, Ghazal / Kamel, Ihab R / Kim, Amy K

    Clinical imaging

    2024  Volume 110, Page(s) 110168

    Abstract: Background & aim: Esophageal varices (EV) screening guidelines have evolved with improved risk stratification to avoid unnecessary esophagogastroduodenoscopy (EGD) in individuals with low bleeding risks. However, uncertainties persist in the ... ...

    Abstract Background & aim: Esophageal varices (EV) screening guidelines have evolved with improved risk stratification to avoid unnecessary esophagogastroduodenoscopy (EGD) in individuals with low bleeding risks. However, uncertainties persist in the recommendations for certain patient groups, particularly those with hepatocellular carcinoma (HCC) and/or receiving non-selective beta-blockers (NSBB) without prior endoscopy. This study assessed the efficacy of imaging in ruling out EVs and their high-risk features associated with bleeding in patients with cirrhosis and with HCC. We also evaluated the impact of NSBB on the detection of these characteristics.
    Methods: A total of 119 patients undergoing EGD with CT and/or MRI within 90 days of the procedure were included. 87 patients had HCC. A new imaging grading system was developed utilizing the size of EVs and the extent of their protrusion into the esophagus lumen. The negative predictive value (NPV) of EVimaging(-) versus EVimaging (+) (grades 1-3) in ruling out the presence of EV and/or high-risk features by EGD was calculated. The predictive performance of imaging was determined by logistic regression.
    Results: The NPV of imaging for detecting EV and high-risk features was 81 % and 92 %, respectively. Among HCC patients, the NPV for EV and high-risk features was 80 % and 64 %, respectively. Being on NSBB didn't statistically impact the imaging detection of EV. Imaging was a better predictor of high-risk EGD findings than Child-Turcotte-Pugh scores.
    Conclusions: Our results suggest that imaging can effectively rule out the presence of EV and high-risk features during EGD, even in patients with HCC and/or receiving NSBB.
    MeSH term(s) Humans ; Esophageal and Gastric Varices/diagnostic imaging ; Esophageal and Gastric Varices/etiology ; Male ; Female ; Middle Aged ; Liver Cirrhosis/complications ; Liver Cirrhosis/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Tomography, X-Ray Computed/methods ; Gastrointestinal Hemorrhage/diagnostic imaging ; Gastrointestinal Hemorrhage/etiology ; Aged ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/complications ; Retrospective Studies ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/complications ; Endoscopy, Digestive System/methods ; Risk Assessment ; Adult ; Predictive Value of Tests
    Language English
    Publishing date 2024-04-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1028123-x
    ISSN 1873-4499 ; 0899-7071
    ISSN (online) 1873-4499
    ISSN 0899-7071
    DOI 10.1016/j.clinimag.2024.110168
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  8. Article ; Online: Magnetic Resonance Imaging-Based Assessment of Pancreatic Fat Strongly Correlates With Histology-Based Assessment of Pancreas Composition.

    Kiemen, Ashley L / Dbouk, Mohamad / Diwan, Elizabeth Abou / Forjaz, André / Dequiedt, Lucie / Baghdadi, Azarakhsh / Madani, Seyedeh Panid / Grahn, Mia P / Jones, Craig / Vedula, Swaroop / Wu, PeiHsun / Wirtz, Denis / Kern, Scott / Goggins, Michael / Hruban, Ralph H / Kamel, Ihab R / Canto, Marcia Irene

    Pancreas

    2024  Volume 53, Issue 2, Page(s) e180–e186

    Abstract: Objective: The aim of the study is to assess the relationship between magnetic resonance imaging (MRI)-based estimation of pancreatic fat and histology-based measurement of pancreatic composition.: Materials and methods: In this retrospective study, ... ...

    Abstract Objective: The aim of the study is to assess the relationship between magnetic resonance imaging (MRI)-based estimation of pancreatic fat and histology-based measurement of pancreatic composition.
    Materials and methods: In this retrospective study, MRI was used to noninvasively estimate pancreatic fat content in preoperative images from high-risk individuals and disease controls having normal pancreata. A deep learning algorithm was used to label 11 tissue components at micron resolution in subsequent pancreatectomy histology. A linear model was used to determine correlation between histologic tissue composition and MRI fat estimation.
    Results: Twenty-seven patients (mean age 64.0 ± 12.0 years [standard deviation], 15 women) were evaluated. The fat content measured by MRI ranged from 0% to 36.9%. Intrapancreatic histologic tissue fat content ranged from 0.8% to 38.3%. MRI pancreatic fat estimation positively correlated with microanatomical composition of fat (r = 0.90, 0.83 to 0.95], P < 0.001); as well as with pancreatic cancer precursor ( r = 0.65, P < 0.001); and collagen ( r = 0.46, P < 0.001) content, and negatively correlated with pancreatic acinar ( r = -0.85, P < 0.001) content.
    Conclusions: Pancreatic fat content, measurable by MRI, correlates to acinar content, stromal content (fibrosis), and presence of neoplastic precursors of cancer.
    MeSH term(s) Aged ; Female ; Humans ; Middle Aged ; Adipose Tissue/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Pancreas/diagnostic imaging ; Pancreas/pathology ; Pancreas, Exocrine/diagnostic imaging ; Pancreatic Neoplasms/pathology ; Retrospective Studies
    Language English
    Publishing date 2024-01-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 632831-3
    ISSN 1536-4828 ; 0885-3177
    ISSN (online) 1536-4828
    ISSN 0885-3177
    DOI 10.1097/MPA.0000000000002288
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  9. Article: The Additive Value of Radiomics Features Extracted from Baseline MR Images to the Barcelona Clinic Liver Cancer (BCLC) Staging System in Predicting Transplant-Free Survival in Patients with Hepatocellular Carcinoma: A Single-Center Retrospective Analysis.

    Mirza-Aghazadeh-Attari, Mohammad / Ambale Venkatesh, Bharath / Aliyari Ghasabeh, Mounes / Mohseni, Alireza / Madani, Seyedeh Panid / Borhani, Ali / Shahbazian, Haneyeh / Ansari, Golnoosh / Kamel, Ihab R

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 3

    Abstract: Background: To study the additive value of radiomics features to the BCLC staging system in clustering HCC patients.: Methods: A total of 266 patients with HCC were included in this retrospective study. All patients had undergone baseline MR imaging, ...

    Abstract Background: To study the additive value of radiomics features to the BCLC staging system in clustering HCC patients.
    Methods: A total of 266 patients with HCC were included in this retrospective study. All patients had undergone baseline MR imaging, and 95 radiomics features were extracted from 3D segmentations representative of lesions on the venous phase and apparent diffusion coefficient maps. A random forest algorithm was utilized to extract the most relevant features to transplant-free survival. The selected features were used alongside BCLC staging to construct Kaplan-Meier curves.
    Results: Out of 95 extracted features, the three most relevant features were incorporated into random forest classifiers. The Integrated Brier score of the prediction error curve was 0.135, 0.072, and 0.048 for the BCLC, radiomics, and combined models, respectively. The mean area under the receiver operating curve (ROC curve) over time for the three models was 81.1%, 77.3%, and 56.2% for the combined radiomics and BCLC models, respectively.
    Conclusions: Radiomics features outperformed the BCLC staging system in determining prognosis in HCC patients. The addition of a radiomics classifier increased the classification capability of the BCLC model. Texture analysis features could be considered as possible biomarkers in predicting transplant-free survival in HCC patients.
    Language English
    Publishing date 2023-02-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13030552
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  10. Article ; Online: Utilization of Radiomics Features Extracted From Preoperative Medical Images to Detect Metastatic Lymph Nodes in Cholangiocarcinoma and Gallbladder Cancer Patients: A Systemic Review and Meta-analysis.

    Mirza-Aghazadeh-Attari, Mohammad / Afyouni, Shadi / Zandieh, Ghazal / Yazdani Nia, Iman / Mohseni, Alireza / Borhani, Ali / Madani, Seyedeh Panid / Shahbazian, Haneyeh / Ansari, Golnoosh / Kim, Amy / Kamel, Ihab R

    Journal of computer assisted tomography

    2023  Volume 48, Issue 2, Page(s) 184–193

    Abstract: Objectives: This study aimed to determine the methodological quality and evaluate the diagnostic performance of radiomics features in detecting lymph node metastasis on preoperative images in patients with cholangiocarcinoma and gallbladder cancer.: ... ...

    Abstract Objectives: This study aimed to determine the methodological quality and evaluate the diagnostic performance of radiomics features in detecting lymph node metastasis on preoperative images in patients with cholangiocarcinoma and gallbladder cancer.
    Methods: Publications between January 2005 and October 2022 were considered for inclusion. Databases such as Pubmed/Medline, Scopus, Embase, and Google Scholar were searched for relevant studies. The quality of the methodology of the manuscripts was determined using the Radiomics Quality Score and Quality Assessment of Diagnostic Accuracy Studies 2. Pooled results with corresponding 95% confidence intervals (CIs) were calculated using the DerSimonian-Liard method (random-effect model). Forest plots were used to visually represent the diagnostic profile of radiomics signature in each of the data sets pertaining to each study. Fagan plot was used to determine clinical applicability.
    Results: Overall sensitivity was 0.748 (95% CI, 0.703-0.789). Overall specificity was 0.795 (95% CI, 0.742-0.839). The combined negative likelihood ratio was 0.299 (95% CI, 0.266-0.350), and the positive likelihood ratio was 3.545 (95% CI, 2.850-4.409). The combined odds ratio of the studies was 12.184 (95% CI, 8.477-17.514). The overall summary receiver operating characteristics area under the curve was 0.83 (95% CI, 0.80-0.86). Three studies applied nomograms to 8 data sets and achieved a higher pooled sensitivity and specificity (0.85 [0.80-0.89] and 0.85 [0.71-0.93], respectively).
    Conclusions: The pooled analysis showed that predictive models fed with radiomics features achieve good sensitivity and specificity in detecting lymph node metastasis in computed tomography and magnetic resonance imaging images. Supplementation of the models with biological correlates increased sensitivity and specificity in all data sets.
    MeSH term(s) Humans ; Lymphatic Metastasis/diagnostic imaging ; Lymphatic Metastasis/pathology ; Gallbladder Neoplasms/diagnostic imaging ; Gallbladder Neoplasms/pathology ; Radiomics ; Lymph Nodes/diagnostic imaging ; Lymph Nodes/pathology ; Cholangiocarcinoma/diagnostic imaging ; Cholangiocarcinoma/pathology ; Retrospective Studies
    Language English
    Publishing date 2023-11-13
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 80392-3
    ISSN 1532-3145 ; 0363-8715
    ISSN (online) 1532-3145
    ISSN 0363-8715
    DOI 10.1097/RCT.0000000000001557
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