Metabolic Tumour Volume from PSMA PET/CT Scans of Prostate Cancer Patients during Chemotherapy-Do Different Software Solutions Deliver Comparable Results?

被引:16
作者
Hartrampf, Philipp E. [1 ]
Heinrich, Marieke [1 ]
Seitz, Anna Katharina [2 ]
Brumberg, Joachim [1 ]
Sokolakis, Ioannis [3 ]
Kalogirou, Charis [2 ]
Schirbel, Andreas [1 ]
Kuebler, Hubert [2 ]
Buck, Andreas K. [1 ]
Lapa, Constantin [1 ,4 ]
Krebs, Markus [2 ,5 ]
机构
[1] Univ Hosp Wurzburg, Dept Nucl Med, D-97080 Wurzburg, Germany
[2] Univ Hosp Wurzburg, Dept Urol & Paediat Urol, D-97080 Wurzburg, Germany
[3] Martha Maria Hosp Nuremberg, Dept Urol, D-90491 Nurnberg, Germany
[4] Univ Augsburg, Med Fac, Nucl Med, Stenglinstr 2, D-86156 Augsburg, Germany
[5] Univ Hosp Wurzburg, Comprehens Canc Ctr Mainfranken, D-97080 Wurzburg, Germany
关键词
prostate-specific membrane antigen (PSMA); metabolic tumour volume (MTV); total lesion PSMA; biomarker; software; comparability; agreement; TOTAL LESION GLYCOLYSIS; F-18-FDG PET/CT; MDA CRITERIA;
D O I
10.3390/jcm9051390
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
(1) Background: Prostate-specific membrane antigen (PSMA)-derived tumour volume (PSMA-TV) and total lesion PSMA (TL-PSMA) from PSMA PET/CT scans are promising biomarkers for assessing treatment response in prostate cancer (PCa). Currently, it is unclear whether different software tools for assessing PSMA-TV and TL-PSMA produce comparable results. (2) Methods: Ga-68-PSMA PET/CT scans from n = 21 patients with castration-resistant PCa (CRPC) receiving chemotherapy were identified from our single-centre database. PSMA-TV and TL-PSMA were calculated with Syngo.via (Siemens) as well as the freely available Beth Israel plugin for FIJI (Fiji Is Just ImageJ) before and after chemotherapy. While statistical comparability was illustrated and quantified via Bland-Altman diagrams, the clinical agreement was estimated by matching PSMA-TV, TL-PSMA and relative changes of both variables during chemotherapy with changes in serum PSA (Delta PSA) and PERCIST (Positron Emission Response Criteria in Solid Tumors). (3) Results: Comparing absolute PSMA-TV and TL-PSMA as well as Bland-Altman plotting revealed a good statistical comparability of both software algorithms. For clinical agreement, classifying therapy response did not differ between PSMA-TV and TL-PSMA for both software solutions and showed highly positive correlations with BR. (4) Conclusions: due to the high levels of statistical and clinical agreement in our CRPC patient cohort undergoing taxane chemotherapy, comparing PSMA-TV and TL-PSMA determined by Syngo.via and FIJI appears feasible.
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页数:12
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共 24 条
  • [1] The use of molecular volumetric parameters for the evaluation of Lu-177 PSMA I&T therapy response and survival
    Acar, Emine
    Ozdogan, Ozhan
    Aksu, Aysegul
    Derebek, Erkan
    Bekis, Recep
    Kaya, Gamze Capa
    [J]. ANNALS OF NUCLEAR MEDICINE, 2019, 33 (09) : 681 - 688
  • [2] Role of Baseline and Post-Therapy 18F-FDG PET in the Prognostic Stratification of Metastatic Castration-Resistant Prostate Cancer (mCRPC) Patients Treated with Radium-223
    Bauckneht, Matteo
    Capitanio, Selene
    Donegani, Maria Isabella
    Zanardi, Elisa
    Miceli, Alberto
    Murialdo, Roberto
    Raffa, Stefano
    Tomasello, Laura
    Vitti, Martina
    Cavo, Alessia
    Catalano, Fabio
    Mencoboni, Manlio
    Ceppi, Marcello
    Marini, Cecilia
    Fornarini, Giuseppe
    Boccardo, Francesco
    Sambuceti, Gianmario
    Morbelli, Silvia
    [J]. CANCERS, 2020, 12 (01)
  • [3] STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
    BLAND, JM
    ALTMAN, DG
    [J]. LANCET, 1986, 1 (8476) : 307 - 310
  • [4] Evaluation of whole-body tumor burden with 68Ga-PSMA PET/CT in the biochemical recurrence of prostate cancer
    Brito, A. E. T.
    Mourato, F. A.
    de Oliveira, R. P. M.
    Leal, A. L. G.
    Filho, P. J. A.
    de Filho, J. L. L.
    [J]. ANNALS OF NUCLEAR MEDICINE, 2019, 33 (05) : 344 - 350
  • [5] Validation of a Multifocal Segmentation Method for Measuring Metabolic Tumor Volume in Hodgkin Lymphoma
    Camacho, Mariana R.
    Etchebehere, Elba
    Tardelli, Natalia
    Delamain, Marcia T.
    Vercosa, Aline F. A.
    Takahashi, Maria E. S.
    Brunetto, Sergio Q.
    Metze, Irene G. H. L.
    Souza, Carmino A.
    Cerci, Juliano J.
    Ramos, Celso D.
    [J]. JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY, 2020, 48 (01) : 30 - 35
  • [6] Prognostic value of metabolic tumor volume measured by FDG-PET/CT in patients with cervical cancer
    Chung, Hyun Hoon
    Kim, Jae Weon
    Han, Kyung Hee
    Eo, Jae Seon
    Kang, Keon Wook
    Park, Noh-Hyun
    Song, Yong-Sang
    Chung, June-Key
    Kang, Soon-Beom
    [J]. GYNECOLOGIC ONCOLOGY, 2011, 120 (02) : 270 - 274
  • [7] 18F-FDG Metabolic Tumor Volume and Total Glycolytic Activity of Oral Cavity and Oropharyngeal Squamous Cell Cancer: Adding Value to Clinical Staging
    Dibble, Elizabeth H.
    Alvarez, Ana C. Lara
    Minh-Tam Truong
    Mercier, Gustavo
    Cook, Earl F.
    Subramaniam, Rathan M.
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2012, 53 (05) : 709 - 715
  • [8] 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
  • [9] Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
    Faul, Franz
    Erdfelder, Edgar
    Buchner, Axel
    Lang, Albert-Georg
    [J]. BEHAVIOR RESEARCH METHODS, 2009, 41 (04) : 1149 - 1160
  • [10] qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT
    Gafita, Andrei
    Bieth, Marie
    Kroenke, Markus
    Tetteh, Giles
    Navarro, Fernando
    Wang, Hui
    Guenther, Elisabeth
    Menze, Bjoern
    Weber, Wolfgang A.
    Eiber, Matthias
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2019, 60 (09) : 1277 - 1283