CT-PET and EBUS Results of a network wide audit of EBUS use

被引：0
|
作者：
Lawson, M. [1 ]
Powrie, D. [2 ]
Isa, M. [3 ]
Badiger, R. [3 ]
Yung, B. [4 ]
机构：
[1] Broomfield Hosp, Resp Med, Chelmsford, Essex, England
[2] Southend Hosp, Resp Med, Southend On Sea, England
[3] Colchester Hosp, Resp Med, Colchester, Essex, England
[4] Basildon Hosp, Resp Med, Basildon, England
来源：
LUNG CANCER | 2017年 / 103卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
39
引用
收藏
页码：S18 / S18
页数：1
相关论文
共 50 条
  • [21] Does the use of preoperative CT-PET improve the surgical management of the solitary pulmonary nodule?
    Chamberlain, M. H.
    Martin-Ucar, A.
    Muller, S.
    Entwistle, J.
    Waller, D. A.
    [J]. THORAX, 2007, 62 : A41 - A41
  • [22] Computed Tomography (ct) And Photon Emission Tomography (pet) Findings And Endobronchial Ultrasound (ebus) Fine Needle Aspiration (fna) Results In An Area With Endemic Histoplasmosis
    Flora, A.
    Kozodoy, N.
    Netry, F.
    Willey, J.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2017, 195
  • [23] Is there any added value of EBUS-TBNA to the identification of non-avid PET-CT lymph nodes?
    Pathirana, Upul
    Rodrigo, Damith
    Gerovasili, Vasiliki
    Morjaria, Jaymin
    [J]. EUROPEAN RESPIRATORY JOURNAL, 2018, 52
  • [24] Diagnostic performance of EBUS-TBNA and its interrelation with PET-CT in patients with extra-thoracic malignancies
    Demirdogen, Ezgi
    Ursavas, Ahmet
    Guclu, Ozge Aydin
    Ozturk, Nilufer Aylin Acet
    Ozkaya, Guven
    Karadag, Mehmet
    [J]. TUBERKULOZ VE TORAK-TUBERCULOSIS AND THORAX, 2020, 68 (03): : 285 - 292
  • [25] Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT
    Maja Guberina
    Ken Herrmann
    Christoph Pöttgen
    Nika Guberina
    Hubertus Hautzel
    Thomas Gauler
    Till Ploenes
    Lale Umutlu
    Axel Wetter
    Dirk Theegarten
    Clemens Aigner
    Wilfried E. E. Eberhardt
    Martin Metzenmacher
    Marcel Wiesweg
    Martin Schuler
    Rüdiger Karpf-Wissel
    Alina Santiago Garcia
    Kaid Darwiche
    Martin Stuschke
    [J]. Scientific Reports, 12
  • [26] Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT
    Guberina, Maja
    Herrmann, Ken
    Poettgen, Christoph
    Guberina, Nika
    Hautzel, Hubertus
    Gauler, Thomas
    Ploenes, Till
    Umutlu, Lale
    Wetter, Axel
    Theegarten, Dirk
    Aigner, Clemens
    Eberhardt, Wilfried E. E.
    Metzenmacher, Martin
    Wiesweg, Marcel
    Schuler, Martin
    Karpf-Wissel, Ruediger
    Garcia, Alina Santiago
    Darwiche, Kaid
    Stuschke, Martin
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [27] First report on the use of a dedicated combined CT-PET simulator in rectal cancer patients
    Lammering, G
    de Haas, D
    de Ruysscher, D
    van Kroonenburgh, M
    Beets-Tan, R
    Minken, A
    Lambin, P
    [J]. RADIOTHERAPY AND ONCOLOGY, 2004, 73 : S441 - S442
  • [28] NEGATIVE EBUS RESULTS FROM PET POSITIVE NODES IN THE STAGING OF LUNG CANCER HAVE A HIGH NEGATIVE PREDICTIVE VALUE
    Ting, S.
    Lin, M.
    Baraket, M.
    Radford, G.
    Lin, P.
    Williamson, J.
    [J]. RESPIROLOGY, 2016, 21 : 158 - 158
  • [29] Pet-CT Scan Standard Uptake Value Correlation With Ebus-Tbna Tumor Load In Primary Adenocarcinoma Of The Lung
    Lee, P. M.
    Sayeed, S.
    Sweatt, A.
    Kraft, A.
    Kong, C.
    Sung, A. W.
    Kang, L.
    Wiles, A.
    Shojaee, S.
    Malhotra, R.
    Shepherd, R. W.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2017, 195
  • [30] Comprehensive diagnosis by CT, FDG-PET, EBUS-TBNA and EUS-FNA for preoperative staging for lung cancer
    Anayama, Takashi
    Kume, Motohiko
    Okada, Hironobu
    Sasaguri, Shiro
    [J]. JOURNAL OF THORACIC ONCOLOGY, 2009, 4 (09) : S724 - S724
12345