CT Texture Analysis and Node-RADS CT Score of Lymph Nodes in Patients With Perihilar Cholangiocarcinoma

被引:8
|
作者
Leonhardi, Jakob [1 ]
Sabanov, Arsen [2 ]
Schnarkowski, Benedikt [1 ]
Hoehn, Anne-kathrin [3 ]
Sucher, Robert [2 ]
Seehofer, Daniel [2 ]
Denecke, Timm [1 ]
Meyer, Hans-jonas [1 ]
机构
[1] Univ Leipzig, Dept Diagnost & Intervent Radiol, Leipzig, Germany
[2] Univ Leipzig, Univ Hosp Leipzig, Dept Visceral & Transplantat Surg, Leipzig, Germany
[3] Univ Leipzig, Univ Hosp Leipzig, Dept Pathol, Leipzig, Germany
关键词
Computed tomography; lymph node; cholangiocarcinoma; texture; LONG-TERM SURVIVAL; HILAR CHOLANGIOCARCINOMA; PET/CT;
D O I
10.21873/anticanres.16709
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background/Aim: Texture analysis can provide quantitative imaging markers from computed tomography (CT) images. The Node-RADS classification was recently published as a classification system to better characterize lymph nodes in oncological imaging. The present analysis investigated the diagnostic benefit of CT texture analysis and the Node-RADS classification to categorize and stage lymph nodes in patients with perihilar cholangiocarcinoma. Patients and Methods: Overall, 25 patients (n=9 females, 36%) with a mean age of 72.4 +/- 8.1 years were included. All patients were surgically resected and the lymph nodes were histopathologically analyzed. CT-texture analysis was performed with the Mazda package. All investigated lymph nodes were scored in accordance with the Node-RADS classification. Results: Regarding lymph node discrimination (N- versus N+), Node-RADS classification achieved an area under the curve (AUC) of 0.86 resulting in a sensitivity of 78% and a specificity of 86%. Multiple investigated texture features were different between negative and positive lymph nodes. The "S(0,1)SumVarnc" achieved the best AUC of 0.75 resulting in a sensitivity of 0.91 and a specificity of 0.67. Correlation analysis showed various statistically significant associations between CT texture features and Node-RADS score. Conclusion: Several CT texture features and the NodeRADS score derived from preoperative staging CT were associated with the malignancy of the hilar lymph nodes and might aid for preoperative staging. This could change surgical treatment planning in hilar cholangiocarcinoma.
引用
收藏
页码:5089 / 5097
页数:9
相关论文
共 50 条
  • [1] CT texture analysis and node-RADS CT score of mediastinal lymph nodes - diagnostic performance in lung cancer patients
    Hans-Jonas Meyer
    Benedikt Schnarkowski
    Johanna Pappisch
    Teresa Kerkhoff
    Hubert Wirtz
    Anne-Kathrin Höhn
    Sebastian Krämer
    Timm Denecke
    Jakob Leonhardi
    Armin Frille
    Cancer Imaging, 22
  • [2] CT texture analysis and node-RADS CT score of mediastinal lymph nodes-diagnostic performance in lung cancer patients
    Meyer, Hans-Jonas
    Schnarkowski, Benedikt
    Pappisch, Johanna
    Kerkhoff, Teresa
    Wirtz, Hubert
    Hoehn, Anne-Kathrin
    Kraemer, Sebastian
    Denecke, Timm
    Leonhardi, Jakob
    Frille, Armin
    CANCER IMAGING, 2022, 22 (01)
  • [3] Validation of the Node Reporting and Data System (Node-RADS) for standardized CT evaluation of regional lymph nodes in esophageal squamous cell carcinoma patients
    Fang, Yu
    Chen, Ming
    Zheng, Xufeng
    Yao, Yubin
    Huang, Kainan
    Chen, Silian
    Xu, Tingting
    Xu, Zhuangyong
    Lin, Daiying
    EUROPEAN RADIOLOGY, 2024,
  • [4] Diagnostic performance of Node-RADS score for mesorectal lymph node metastasis in rectal cancer
    Niu, Yue
    Yu, Sanqiang
    Chen, Peng
    Tang, Mengjie
    Wen, Lu
    Sun, Yan
    Yang, Yanhui
    Zhang, Yi
    Fu, Yi
    Lu, Qiang
    Luo, Tao
    Yu, Xiaoping
    ABDOMINAL RADIOLOGY, 2025, 50 (01) : 38 - 48
  • [5] Diagnostic performance of Node Reporting and Data System (Node-RADS) for regional lymph node staging of gastric cancer by CT
    Loch, Florian N.
    Beyer, Katharina
    Kreis, Martin E.
    Kamphues, Carsten
    Rayya, Wael
    Schineis, Christian
    Jahn, Janosch
    Tronser, Moritz
    Elsholtz, Fabian H. J.
    Hamm, Bernd
    Reiter, Rolf
    EUROPEAN RADIOLOGY, 2024, 34 (05) : 3183 - 3193
  • [6] Diagnostic performance of Node Reporting and Data System (Node-RADS) for assessing mesorectal lymph node in rectal cancer by CT
    Niu, Yue
    Wen, Lu
    Yang, Yanhui
    Zhang, Yi
    Fu, Yi
    Lu, Qiang
    Wang, Yu
    Yu, Xiao
    Yu, Xiaoping
    BMC CANCER, 2024, 24 (01)
  • [7] Characterization of hypermetabolic lymph nodes after SARS-CoV-2 vaccination using PET-CT derived node-RADS, in patients with melanoma
    Gennari, Antonio G.
    Rossi, Alexia
    Sartoretti, Thomas
    Maurer, Alexander
    Skawran, Stephan
    Treyer, Valerie
    Sartoretti, Elisabeth
    Curioni-Fontecedro, Alessandra
    Schwyzer, Moritz
    Waelti, Stephan
    Huellner, Martin W.
    Messerli, Michael
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [8] Node Reporting and Data System 1.0 (Node-RADS) for the Assessment of Oncological Patients' Lymph Nodes in Clinical Imaging
    Parillo, Marco
    Quattrocchi, Carlo Cosimo
    JOURNAL OF CLINICAL MEDICINE, 2025, 14 (01)
  • [9] Characterization of hypermetabolic lymph nodes after SARS-CoV-2 vaccination using PET-CT derived node-RADS, in patients with melanoma
    Antonio G. Gennari
    Alexia Rossi
    Thomas Sartoretti
    Alexander Maurer
    Stephan Skawran
    Valerie Treyer
    Elisabeth Sartoretti
    Alessandra Curioni-Fontecedro
    Moritz Schwyzer
    Stephan Waelti
    Martin W. Huellner
    Michael Messerli
    Scientific Reports, 13
  • [10] Performance of Node-RADS Scoring System for a Standardized Assessment of Regional Lymph Nodes in Bladder Cancer Patients
    Leonardo, Costantino
    Flammia, Rocco Simone
    Lucciola, Sara
    Proietti, Flavia
    Pecoraro, Martina
    Bucca, Bruno
    Licari, Leslie Claire
    Borrelli, Antonella
    Bologna, Eugenio
    Landini, Nicholas
    Del Monte, Maurizio
    Chung, Benjamin I.
    Catalano, Carlo
    Magliocca, Fabio Massimo
    De Berardinis, Ettore
    Del Giudice, Francesco
    Panebianco, Valeria
    CANCERS, 2023, 15 (03)