An effective MRI perfusion threshold based workflow to triage additional 18F-FET PET in posttreatment high grade glioma

被引:0
作者
Kadali, Krishna Ranjith [1 ,2 ]
Nierobisch, Nathalie [2 ]
Maibach, Fabienne [2 ]
Heesen, Philip [2 ]
Alcaide-Leon, Paula [3 ,4 ]
Hullner, Martin [5 ]
Weller, Michael [6 ]
Kulcsar, Zsolt [2 ]
Hainc, Nicolin [2 ]
机构
[1] Univ Zurich, Zurich, Switzerland
[2] Univ Zurich, Univ Hosp Zurich, Clin Neurosci Ctr, Dept Neuroradiol, Zurich, Switzerland
[3] Univ Toronto, Dept Med Imaging, Toronto, ON, Canada
[4] Univ Hlth Network, Joint Dept Med Imaging, Toronto, ON, Canada
[5] Univ Zurich, Univ Hosp Zurich, Dept Nucl Med, Zurich, Switzerland
[6] Univ Zurich, Univ Hosp, Clin Neurosci Ctr, Dept Neurol, Zurich, Switzerland
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Glioma; Perfusion magnetic resonance imaging; Positron-emission tomography; F-18-fluoroethyl-L-tyrosine; CENTRAL-NERVOUS-SYSTEM; O-(2-F-18-FLUOROETHYL)-L-TYROSINE PET; EUROPEAN ASSOCIATION; RESPONSE ASSESSMENT; BRAIN-TUMORS; PSEUDOPROGRESSION; GLIOBLASTOMA; PROGRESSION; DIAGNOSIS; RECOMMENDATIONS;
D O I
10.1038/s41598-025-90472-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
MRI is the preferred method for follow-up imaging of post-treatment WHO grade 3 or 4 gliomas. While positron emission tomography with O-(2-[F-18]fluoroethyl)-L-tyrosine) (F-18-FET PET) offers higher diagnostic accuracy, its use is limited due to low availability. We propose a sequential, threshold-based workflow to triage patients for additional F-18-FET PET scans based on MRI dynamic susceptibility contrast (DSC) perfusion-derived rCBV values, to optimize F-18-FET PET resource allocation. Patients with high-grade gliomas who had undergone standard-of-care treatment and developed new or enlarging contrast-enhancing post-treatment lesions on MRI were included, with a F-18-FET PET study performed within 4 months of the MRI. Patients were excluded if there were significant changes in lesion size or treatment between the MRI and F-18-FET PET scan. An rCBV threshold was determined and the performance of a threshold-based imaging workflow was evaluated compared to the gold standard defined here as surgical verification or long-term imaging follow-up without further intervention. Forty-one patients with a total of 49 lesions were included (tumor progression n = 40, treatment-related changes n = 9). Above the rCBV threshold of 2.4, MRI was 100% accurate (21/21 patients) in diagnosing tumor progression. Below the threshold, MRI identified 9 true negatives but produced 19 false negatives. F-18-FET PET reclassified 18/19 (95%) false negatives resulting in an overall accuracy of 48/49 (98%) for the workflow. Our MRI DSC perfusion rCBV-based threshold workflow for triaging patients for additional F-18-FET PET imaging in post-treatment high grade glioma has the potential to optimize F-18-FET PET resource allocation.
引用
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页数:9
相关论文
共 42 条
  • [1] Albert NL, 2024, LANCET ONCOL, V25, pE29, DOI 10.1016/S1470-2045(23)00525-9
  • [2] Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas
    Albert, Nathalie L.
    Weller, Michael
    Suchorska, Bogdana
    Galldiks, Norbert
    Soffietti, Riccardo
    Kim, Michelle M.
    La Fougere, Christian
    Pope, Whitney
    Law, Ian
    Arbizu, Javier
    Chamberlain, Marc C.
    Vogelbaum, Michael
    Ellingson, Ben M.
    Tonn, Joerg C.
    [J]. NEURO-ONCOLOGY, 2016, 18 (09) : 1199 - 1208
  • [3] Bheda K., 2024, Telix Pharm
  • [4] Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas
    Boxerman, Jerrold L.
    Quarles, Chad C.
    Hu, Leland S.
    Erickson, Bradley J.
    Gerstner, Elizabeth R.
    Smits, Marion
    Kaufmann, Timothy J.
    Barboriak, Daniel P.
    Huang, Raymond H.
    Wick, Wolfgang
    Weller, Michael
    Galanis, Evanthia
    Kalpathy-Cramer, Jayashree
    Shankar, Lalitha
    Jacobs, Paula
    Chung, Caroline
    van den Bent, Martin J.
    Chang, Susan
    Al Yung, W. K.
    Cloughesy, Timothy F.
    Wen, Patrick Y.
    Gilbert, Mark R.
    Rosen, Bruce R.
    Ellingson, Benjamin M.
    Schmainda, Kathleen M.
    [J]. NEURO-ONCOLOGY, 2020, 22 (09) : 1262 - 1275
  • [5] Boxerman JL, 2006, AM J NEURORADIOL, V27, P859
  • [6] FET PET in the evaluation of indeterminate brain lesions on MRI: Differentiating glioma from other non-neoplastic causes - A pilot study
    Chan, David L.
    Hsiao, Edward
    Schembri, Geoff
    Bailey, Dale L.
    Roach, Paul J.
    Lee, Adrian
    Jayamanne, Dasantha
    Ghasemzadeh, Mehrdad
    Hayes, Aimee
    Cook, Raymond
    Parkinson, Jonathon
    Drummond, James P.
    Ibbett, Imogen
    Wheeler, Helen R.
    Back, Michael
    [J]. JOURNAL OF CLINICAL NEUROSCIENCE, 2018, 58 : 130 - 135
  • [7] Glioma Imaging by O-(2-18F-Fluoroethyl)-L-Tyrosine PET and Diffusion-Weighted MRI and Correlation With Molecular Phenotypes, Validated by PET/MR-Guided Biopsies
    Cheng, Ye
    Song, Shuangshuang
    Wei, Yukui
    Xu, Geng
    An, Yang
    Ma, Jie
    Yang, Hongwei
    Qi, Zhigang
    Xiao, Xinru
    Bai, Jie
    Xu, Lixin
    Hu, Zeliang
    Sun, Tingting
    Wang, Leiming
    Lu, Jie
    Lin, Qingtang
    [J]. FRONTIERS IN ONCOLOGY, 2021, 11
  • [8] Chinot OL, 2014, NEW ENGL J MED, V370, P709, DOI 10.1056/NEJMoa1308345
  • [9] Pseudoprogression: Relevance With Respect to Treatment of High-Grade Gliomas
    Fink, James
    Born, Donald
    Chamberlain, Marc C.
    [J]. CURRENT TREATMENT OPTIONS IN ONCOLOGY, 2011, 12 (03) : 240 - 252
  • [10] Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group
    Galldiks, Norbert
    Kaufmann, Timothy J.
    Vollmuth, Philipp
    Lohmann, Philipp
    Smits, Marion
    Veronesi, Michael C.
    Langen, Karl-Josef
    Ruda, Roberta
    Albert, Nathalie L.
    Hattingen, Elke
    Law, Ian
    Hutterer, Markus
    Soffietti, Riccardo
    Vogelbaum, Michael A.
    Wen, Patrick Y.
    Weller, Michael
    Tonn, Joerg-Christian
    [J]. NEURO-ONCOLOGY, 2024, 26 (07) : 1181 - 1194