AI-based quantification of PET/CT lesions is associated with survival in lung cancer patients

被引：0
|
作者：
Borrelli, Pablo [1 ]
Gongora, Jose Luis Loaiza [1 ]
Kaboteh, Reza [1 ]
Ulen, Johannes [2 ]
Enqvist, Olof [2 ,3 ]
Tragardh, Elin [4 ,5 ,6 ]
Edenbrandt, Lars [1 ,7 ]
机构：
[1] Sahlgrens Univ Hosp, Dept Clin Physiol Reg Vastra Gotaland, Gothenburg, Sweden
[2] Eigenvision AB, Malmo, Sweden
[3] Chalmers Univ Technol, Dept Elect Engn, Gothenburg, Sweden
[4] Skane Univ Hosp, Dept Clin Physiol & Nucl Med, Malmo, Sweden
[5] Lund Univ, Dept Translat Med, Malmo, Sweden
[6] Lund Univ, Wallenberg Ctr Mol Med, Malmo, Sweden
[7] Univ Gothenburg, Inst Med, Dept Mol & Clin Med, Gothenburg, Sweden
来源：
JOURNAL OF NUCLEAR MEDICINE | 2021年 / 62卷
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
1042
引用
收藏
页数：2
相关论文
共 50 条
  • [1] AI-based Detection of Lung Lesions in FDG-PET/CT from Lung Cancer Patients
    Edenbrandt, L.
    Kaboteh, R.
    Salehian, S.
    Ulen, J.
    Enqvist, O.
    Borrelli, P.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 46 (SUPPL 1) : S371 - S371
  • [2] AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
    Borrelli, Pablo
    Ly, John
    Kaboteh, Reza
    Ulen, Johannes
    Enqvist, Olof
    Traegardh, Elin
    Edenbrandt, Lars
    EJNMMI PHYSICS, 2021, 8 (01)
  • [3] AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
    Pablo Borrelli
    John Ly
    Reza Kaboteh
    Johannes Ulén
    Olof Enqvist
    Elin Trägårdh
    Lars Edenbrandt
    EJNMMI Physics, 8
  • [4] Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
    Pablo Borrelli
    José Luis Loaiza Góngora
    Reza Kaboteh
    Johannes Ulén
    Olof Enqvist
    Elin Trägårdh
    Lars Edenbrandt
    EJNMMI Physics, 9
  • [5] Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
    Borrelli, Pablo
    Gongora, Jose Luis Loaiza
    Kaboteh, Reza
    Ulen, Johannes
    Enqvist, Olof
    Tragardh, Elin
    Edenbrandt, Lars
    EJNMMI PHYSICS, 2022, 9 (01)
  • [6] Fully automated AI-based quantification of tumour volume on PSMA PET- CT images is significantly associated with overall survival in patients with prostate cancer
    Tragardh, E.
    Ingvar, J.
    Enqvist, O.
    Ulen, J.
    Minarik, D.
    Edenbrandt, L.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 : S541 - S542
  • [7] AI-based Tools for Automated Quantification of PET/CT Studies
    Edenbrandt, L.
    Ulen, J.
    Enqvist, O.
    Tragardh, E.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 46 (SUPPL 1) : S763 - S763
  • [8] AI-based automatic identification of prostate cancer lesions on 68Ga-PSMA-11 PET/CT
    Farbod, Abolfazl
    Capobianco, Nicolo
    Spottiswoode, Bruce
    Pirich, Christian
    Beheshti, Mohsen
    JOURNAL OF NUCLEAR MEDICINE, 2024, 65
  • [9] Clinical validation of an AI-based automatic quantification tool for lung lobes in SPECT/CT
    Emilie Verrecchia-Ramos
    Olivier Morel
    Merwan Ginet
    Paul Retif
    Sinan Ben Mahmoud
    EJNMMI Physics, 10
  • [10] Clinical validation of an AI-based automatic quantification tool for lung lobes in SPECT/CT
    Verrecchia-Ramos, Emilie
    Morel, Olivier
    Ginet, Merwan
    Retif, Paul
    Ben Mahmoud, Sinan
    EJNMMI PHYSICS, 2023, 10 (01)
12345