| Item type |
共通アイテムタイプ / Common item types(1) |
| 公開日 |
2025-06-27 |
| タイトル |
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|
タイトル |
Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: A bi-center study |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
主題 |
intrahepatic cholangiocarcinoma |
| キーワード |
|
|
主題 |
hepatocellular carcinoma |
| キーワード |
|
|
主題 |
multidetector computed tomography |
| キーワード |
|
|
主題 |
magnetic resonance imaging |
| キーワード |
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|
主題 |
Bayesian method |
| 資源タイプ |
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|
資源タイプ |
journal article |
| アクセス権 |
|
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アクセス権 |
open access |
| 著者 |
Ichikawa, Shintaro
Isoda, Hiroyoshi
Shimizu, Tatsuya
Tamada, Daiki
Taura, Kojiro
Togashi, Kaori
Onishi, Hiroshi
Motosugi, Utaroh
|
| 著者情報 |
市川, 新太郎
|
| 書誌情報 |
en : European radiology
巻 30,
号 11,
p. 5992-6002,
発行日 2020-11
|
| 出版者 |
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|
出版者 |
Springer Nature |
| 権利 |
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|
権利情報 |
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s00330-020-06972-w |
| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Objectives: To determine imaging hallmarks for distinguishing intrahepatic mass-forming biliary carcinomas (IMBCs) from hepatocellular carcinoma (HCC) and to validate their diagnostic ability using Bayesian statistics.
Methods: Study 1 retrospectively identified clinical and imaging hallmarks that distinguish IMBCs (n=41) from HCC (n=247) using computed tomography (CT) and magnetic resonance imaging (MRI). Study 2 retrospectively assessed the diagnostic ability of these hallmarks to distinguish IMBCs (n=37) from HCC (n=111) using Bayesian statistics with images obtained from a different institution. We also assessed the diagnostic ability of the hallmarks in the patient subgroup with high diagnostic confidence (≥80% of post-test probability). Two radiologists independently evaluated the imaging findings in Study 1 and 2.
Results: In Study 1, arterial phase peri-tumoral parenchymal enhancement on CT/MRI, delayed enhancement on CT/MRI, diffusion-weighted imaging peripheral hyperintensity, and bile duct dilatation were hallmarks indicating IMBCs, whereas chronic liver disease, non-rim arterial phase hyperenhancement on CT/MRI, enhancing capsule on CT/MRI, and opposed-phase signal drop were hallmarks indicating HCC (P=0.001–0.04). In Study 2, Bayesian statistics-based post-test probability combining all hallmark features had a diagnostic accuracy of 89.2% (132/148) in distinguishing IMBCs from HCC for both readers. In the high diagnostic confidence subgroup (n=120 and n=124 for reader 1 and 2, respectively), the accuracy improved (95.0% (114/120) and 93.5% (116/124) for reader 1 and 2, respectively).
Conclusions: Combined interpretation of CT and MRI to identify hallmark features is useful in discriminating IMBCs from HCCs. High post-test probability by Bayesian statistics allows for a more reliable non-invasive diagnosis. |
| 注記 |
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内容記述 |
Key Points
● Combined interpretation of CT and MRI to identify hallmark features was useful in discriminating intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma.
● Bayesian method-based post-test probability combining all hallmark features determined in Study 1 showed high (>90%) sensitivity and specificity for distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma.
● If the post-test probability or the confidence was ≥80% when combining the imaging features of CT and MRI, the high specificity of >95% was achieved without any loss of sensitivity to distinguish hepatocellular carcinoma from intrahepatic mass-forming biliary carcinomas. |
| EISSN |
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|
収録物識別子 |
1432-1084 |
| NII書誌ID (NCID) |
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|
収録物識別子 |
AA11623135 |
| PubMed番号 (PMID) |
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関連識別子 |
32500195 |
| 出版社DOI |
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|
関連識別子 |
https://doi.org/10.1007/s00330-020-06972-w |
| 出版タイプ |
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|
出版タイプ |
AM |
ER-30-5992.pdf (10.5 MB)
