Evaluation of [68Ga]Ga-PSMA PET/CT images acquired with a reduced scan time duration in prostate cancer patients using the digital biograph vision

被引:15
作者
Weber, Manuel [1 ,2 ]
Jentzen, Walter [1 ,2 ]
Hofferber, Regina [1 ,2 ]
Herrmann, Ken [1 ,2 ]
Fendler, Wolfgang Peter [1 ,2 ]
Conti, Maurizio [3 ]
Wetter, Axel [4 ]
Kersting, David [1 ,2 ]
Rischpler, Christoph [1 ,2 ]
Fragoso Costa, Pedro [1 ,2 ]
机构
[1] Univ Duisburg Essen, Dept Nucl Med, Hufelandstr 55, D-45122 Essen, Germany
[2] Univ Hosp Essen, German Canc Consortium DKTK, Hufelandstr 55, D-45122 Essen, Germany
[3] Siemens Med Solut USA INC, Knoxville, TN USA
[4] Univ Duisburg Essen, Inst Diagnost & Intervent Radiol & Neuroradiol, Essen, Germany
关键词
PET; CT; PSMA; Image quality; Silicon photomultiplier;
D O I
10.1186/s13550-021-00765-y
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
Aim [Ga-68]Ga-PSMA-11 PET/CT allows for a superior detection of prostate cancer tissue, especially in the context of a low tumor burden. Digital PET/CT bears the potential of reducing scan time duration/administered tracer activity due to, for instance, its higher sensitivity and improved time coincidence resolution. It might thereby expand [Ga-68]Ga-PSMA-11 PET/CT that is currently limited by Ge-68/Ga-68-generator yield. Our aim was to clinically evaluate the influence of a reduced scan time duration in combination with different image reconstruction algorithms on the diagnostic performance. Methods Twenty prostate cancer patients (11 for biochemical recurrence, 5 for initial staging, 4 for metastatic disease) sequentially underwent [Ga-68]Ga-PSMA-11 PET/CT on a digital Siemens Biograph Vision. PET data were collected in continuous-bed-motion mode with a mean scan time duration of 16.7 min (reference acquisition protocol) and 4.6 min (reduced acquisition protocol). Four iterative reconstruction algorithms were applied using a time-of-flight (TOF) approach alone or combined with point-spread-function (PSF) correction, each with 2 or 4 iterations. To evaluate the diagnostic performance, the following metrics were chosen: (a) per-region detectability, (b) the tumor maximum and peak standardized uptake values (SUVmax and SUVpeak), and (c) image noise using the liver's activity distribution. Results Overall, 98% of regions (91% of affected regions) were correctly classified in the reduced acquisition protocol independent of the image reconstruction algorithm. Two nodal lesions (each <= 4 mm) were not identified (leading to downstaging in 1/20 cases). Mean absolute percentage deviation of SUVmax (SUVpeak) was approximately 9% (6%) for each reconstruction algorithm. The mean image noise increased from 13 to 21% (4 iterations) and from 10 to 15% (2 iterations) for PSF + TOF and TOF images. Conclusions High agreement at 3.5-fold reduction of scan time in terms of per-region detection (98% of regions) and image quantification (mean deviation <= 10%) was demonstrated; however, small lesions can be missed in about 10% of patients leading to downstaging (T1N0M0 instead of T1N1M0) in 5% of patients. Our results suggest that a reduction of scan time duration or administered [Ga-68]Ga-PSMA-11 activities can be considered in metastatic patients, where missing small lesions would not impact patient management. Limitations include the small and heterogeneous sample size and the lack of follow-up.
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页数:12
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共 26 条
  • [1] PET imaging with a [68Ga]gallium-labelled PSMA ligand for the diagnosis of prostate cancer: biodistribution in humans and first evaluation of tumour lesions
    Afshar-Oromieh, A.
    Malcher, A.
    Eder, M.
    Eisenhut, M.
    Linhart, H. G.
    Hadaschik, B. A.
    Holland-Letz, T.
    Giesel, F. L.
    Kratochwil, C.
    Haufe, S.
    Haberkorn, U.
    Zechmann, C. M.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2013, 40 (04) : 486 - 495
  • [2] FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0
    Boellaard, Ronald
    O'Doherty, Mike J.
    Weber, Wolfgang A.
    Mottaghy, Felix M.
    Lonsdale, Markus N.
    Stroobants, Sigrid G.
    Oyen, Wim J. G.
    Kotzerke, Joerg
    Hoekstra, Otto S.
    Pruim, Jan
    Marsden, Paul K.
    Tatsch, Klaus
    Hoekstra, Corneline J.
    Visser, Eric P.
    Arends, Bertjan
    Verzijlbergen, Fred J.
    Zijlstra, Josee M.
    Comans, Emile F. I.
    Lammertsma, Adriaan A.
    Paans, Anne M.
    Willemsen, Antoon T.
    Beyer, Thomas
    Bockisch, Andreas
    Schaefer-Prokop, Cornelia
    Delbeke, Dominique
    Baum, Richard P.
    Chiti, Arturo
    Krause, Bernd J.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2010, 37 (01) : 181 - 200
  • [3] Brasse D, 2002, CONTINUOUS BED MOTIO
  • [4] Estimating Image Quality for Future Generations of TOF PET Scanners
    Conti, Maurizio
    Eriksson, Lars
    Westerwoudt, Victor
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2013, 60 (01) : 87 - 94
  • [5] Optimized dose regimen for whole-body FDG-PET imaging
    de Groot, Eleonore H.
    Post, Nieky
    Boellaard, Ronald
    Wagenaar, Nils R. L.
    Willemsen, Antoon T. M.
    van Dalen, Jorn A.
    [J]. EJNMMI RESEARCH, 2013, 3 : 1 - 11
  • [6] Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE): Proposed miTNM Classification for the Interpretation of PSMA-Ligand PET/CT
    Eiber, Matthias
    Herrmann, Ken
    Calais, Jeremie
    Hadaschik, Boris
    Giesel, Frederik L.
    Hartenbach, Markus
    Hope, Thomas
    Reiter, Robert
    Maurer, Tobias
    Weber, Wolfgang A.
    Fendler, Wolfgang P.
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2018, 59 (03) : 469 - 478
  • [7] Prostate-Specific Membrane Antigen Ligand Positron Emission Tomography in Men with Nonmetastatic Castration-Resistant Prostate Cancer
    Fendler, Wolfgang P.
    Weber, Manuel
    Iravani, Amir
    Hofman, Michael S.
    Calais, Jeremie
    Czernin, Johannes
    Ilhan, Harun
    Saad, Fred
    Small, Eric J.
    Smith, Matthew R.
    Perez, Paola M.
    Hope, Thomas A.
    Rauscher, Isabel
    Londhe, Anil
    Lopez-Gitlitz, Angela
    Cheng, Shinta
    Maurer, Tobias
    Herrmann, Ken
    Eiber, Matthias
    Hadaschik, Boris
    [J]. CLINICAL CANCER RESEARCH, 2019, 25 (24) : 7448 - 7454
  • [8] Assessment of 68Ga-PSMA-11 PET Accuracy in Localizing Recurrent Prostate Cancer: A Prospective Single-Arm Clinical Trial
    Fendler, Wolfgang P.
    Calais, Jeremie
    Eiber, Matthias
    Flavell, Robert R.
    Mishoe, Ashley
    Feng, Felix Y.
    Nguyen, Hao G.
    Reiter, Robert E.
    Rettig, Matthew B.
    Okamoto, Shozo
    Emmett, Louise
    Zacho, Helle D.
    Ilhan, Harun
    Wetter, Axel
    Rischpler, Christoph
    Schoder, Heiko
    Burger, Irene A.
    Gartmann, Jeannine
    Smith, Raven
    Small, Eric J.
    Slavik, Roger
    Carroll, Peter R.
    Herrmann, Ken
    Czernin, Johannes
    Hope, Thomas A.
    [J]. JAMA ONCOLOGY, 2019, 5 (06) : 856 - 863
  • [9] 68Ga-PSMA PET/CT: Joint EANM and SNMMI procedure guideline for prostate cancer imaging: version 1.0
    Fendler, Wolfgang P.
    Eiber, Matthias
    Beheshti, Mohsen
    Bomanji, Jamshed
    Ceci, Francesco
    Cho, Steven
    Giesel, Frederik
    Haberkorn, Uwe
    Hope, Thomas A.
    Kopka, Klaus
    Krause, Bernd J.
    Mottaghy, Felix M.
    Schoder, Heiko
    Sunderland, John
    Wan, Simon
    Wester, Hans-Juergen
    Fanti, Stefano
    Herrmann, Ken
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2017, 44 (06) : 1014 - 1024
  • [10] 68Ga-PSMA-11PET/CT Interobserver Agreement for Prostate Cancer Assessments: An International Multicenter Prospective Study
    Fendler, Wolfgang Peter
    Calais, Jeremie
    Allen-Auerbach, Martin
    Bluemel, Christina
    Eberhardt, Nina
    Emmett, Louise
    Gupta, Pawan
    Hartenbach, Markus
    Hope, Thomas A.
    Okamoto, Shozo
    Pfob, Christian Helmut
    Poeppel, Thorsten D.
    Rischpler, Christoph
    Schwarzenboeck, Sarah
    Stebner, Vanessa
    Unterrainer, Marcus
    Zacho, Helle D.
    Maurer, Tobias
    Gratzke, Christian
    Crispin, Alexander
    Czernin, Johannes
    Herrmann, Ken
    Eiber, Matthias
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2017, 58 (10) : 1617 - 1623