Preoperative pelvic MRI and 2-[18F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer—time to revisit current imaging guidelines?

被引：0
|
作者：
Kristine E. Fasmer
Ankush Gulati
Julie A. Dybvik
Kari S. Wagner-Larsen
Njål Lura
Øyvind Salvesen
David Forsse
Jone Trovik
Johanna M. A. Pijnenborg
Camilla Krakstad
Ingfrid S. Haldorsen
机构：
[1] Haukeland University Hospital,Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology
[2] University of Bergen,Section for Radiology, Department of Clinical Medicine
[3] Norwegian University of Science and Technology,Unit for applied Clinical Research, Department of Public Health and Nursing
[4] Haukeland University Hospital,Department of Obstetrics and Gynaecology
[5] University of Bergen,Centre for Cancer Biomarkers, Department of Clinical Science
[6] Radboud University Medical Center,Department of Obstetrics and Gynaecology
来源：
European Radiology | 2023年 / 33卷
关键词：
Endometrial neoplasms; Magnetic resonance imaging; Fluorodeoxyglucose F18; Positron emission tomography computed tomography; Neoplasm staging;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：221 / 232
页数：11
相关论文
共 50 条
  • [31] Simultaneous 18F-FDG PET/MRI Radiomics and Machine Learning Analysis of the Primary Breast Tumor for the Preoperative Prediction of Axillary Lymph Node Status in Breast Cancer
    Romeo, Valeria
    Kapetas, Panagiotis
    Clauser, Paola
    Rasul, Sazan
    Cuocolo, Renato
    Caruso, Martina
    Helbich, Thomas H.
    Baltzer, Pascal A. T.
    Pinker, Katja
    CANCERS, 2023, 15 (20)
  • [32] Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models
    Yuki Onozato
    Takekazu Iwata
    Yasufumi Uematsu
    Daiki Shimizu
    Takayoshi Yamamoto
    Yukiko Matsui
    Kazuyuki Ogawa
    Junpei Kuyama
    Yuichi Sakairi
    Eiryo Kawakami
    Toshihiko Iizasa
    Ichiro Yoshino
    European Journal of Nuclear Medicine and Molecular Imaging, 2023, 50 : 715 - 726
  • [33] Lymph Node Metastases Diagnosed by 18F-FDG-PET/CT in Esophageal Squamous Cell Cancer Treated With Concurrent Chemoradiotherapy
    Ogino, Ichiro
    Watanabe, Shigenobu
    Misumi, Toshihiro
    Hata, Masaharu
    Kunisaki, Chikara
    ANTICANCER RESEARCH, 2019, 39 (09) : 4977 - 4985
  • [34] An [18F]FDG PET/3D-ultrashort echo time MRI-based radiomics model established by machine learning facilitates preoperative assessment of lymph node status in non-small cell lung cancer
    Nan Meng
    Pengyang Feng
    Xuan Yu
    Yaping Wu
    Fangfang Fu
    Ziqiang Li
    Yu Luo
    Hongna Tan
    Jianmin Yuan
    Yang Yang
    Zhe Wang
    Meiyun Wang
    European Radiology, 2024, 34 : 318 - 329
  • [35] An [18F]FDG PET/3D-ultrashort echo time MRI-based radiomics model established by machine learning facilitates preoperative assessment of lymph node status in non-small cell lung cancer
    Meng, Nan
    Feng, Pengyang
    Yu, Xuan
    Wu, Yaping
    Fu, Fangfang
    Li, Ziqiang
    Luo, Yu
    Tan, Hongna
    Yuan, Jianmin
    Yang, Yang
    Wang, Zhe
    Wang, Meiyun
    EUROPEAN RADIOLOGY, 2024, 34 (01) : 318 - 329
  • [36] The Value of Dual Time Point 18F-FDG PET/CT Imaging in Differentiating Lymph Node Metastasis From Reactive Hyperplasia in Bladder Urothelial Carcinoma
    Zhou, Xiang
    Lu, Zehua
    Zhang, Ruixue
    Zhang, Ruiyun
    Huang, Gang
    Shi, Kuangyu
    Chen, Haige
    Liu, Jianjun
    ACADEMIC RADIOLOGY, 2024, 31 (08) : 3272 - 3281
  • [37] Percentage change of primary tumor on 18F-FDG PET/CT as a prognostic factor for invasive ductal breast cancer with axillary lymph node metastasis: Comparison with MRI
    Yoo, Jang
    Kim, Bom Sahn
    Chung, Jin
    Yoon, Hai-Jeon
    MEDICINE, 2017, 96 (31)
  • [38] Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer
    Nakajo, Masatoyo
    Jinguji, Megumi
    Tani, Atsushi
    Kikuno, Hidehiko
    Hirahara, Daisuke
    Togami, Shinichi
    Kobayashi, Hiroaki
    Yoshiura, Takashi
    MOLECULAR IMAGING AND BIOLOGY, 2021, 23 (05) : 756 - 765
  • [39] Metabolic tumour volume and total lesion glycolysis, measured using preoperative 18F-FDG PET/CT, predict the recurrence of endometrial cancer
    Shim, S-H
    Kim, D-Y
    Lee, D-Y
    Lee, S-W
    Park, J-Y
    Lee, J. J.
    Kim, J-H
    Kim, Y-M
    Kim, Y-T
    Nam, J-H
    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2014, 121 (09) : 1097 - 1106
  • [40] The value of whole-body MRI instead of only brain MRI in addition to 18 F-FDG PET/CT in the staging of advanced non-small-cell lung cancer
    Holmstrand, Hanna
    Lindskog, M.
    Sundin, A.
    Hansen, T.
    CANCER IMAGING, 2025, 25 (01)
12345