Literature DB >> 31431386

Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference.

Constantinos Zamboglou1, Thomas F Fassbender2, Lina Steffan3, Florian Schiller4, Tobias Fechter5, Montserrat Carles5, Selina Kiefer6, Hans C Rischke3, Kathrin Reichel7, Nina-Sophie Schmidt-Hegemann8, Harun Ilhan9, Alin F Chirindel10, Guillaume Nicolas10, Christoph Henkenberens11, Thorsten Derlin12, Peter Bronsert6, Panayiotis Mavroidis13, Ronald C Chen13, Philipp T Meyer4, Juri Ruf4, Anca L Grosu3.   

Abstract

PURPOSE: Accurate definition of the intraprostatic gross tumor volume (GTV) is crucial for diagnostic and therapeutic approaches in patients with primary prostate cancer (PCa). The optimal methodology for contouring of GTV using Prostate specific membrane antigen positron emission tomography (PSMA-PET) information has not yet been defined. METHODS AND MATERIALS: PCa patients who underwent a [68Ga]PSMA-11-PET/CT followed by radical prostatectomy were prospectively enrolled (n = 20). Six observer teams with different levels of experience and using different PET image scaling techniques performed manual contouring of GTV. Additionally, semi-automatic segmentation of GTVs was performed using SUVmax thresholds of 20-50%. Coregistered histopathological gross tumor volume (GTV-Histo) served as reference. Inter-observer agreement was assessed by calculating the Dice similarity coefficient (DSC).
RESULTS: Most contouring methods provided high sensitivity and specificity. For manual delineation, scaling the PET images from SUVmin-max: 0-5 resulted in high sensitivity (>86%). The highest specificity (100%) was obtained by scaling the PET images from SUVmin-max: 0-SUVmax. High interobserver agreement (median DSC 0.8) was observed when using the same PET image scaling technique (PET images SUVmin-max: 0-5). For semi-automatic segmentation, a low SUVmax threshold of 20% optimized sensitivity (SUVmax threshold 20%, 100% sensitivity, 32% of prostatic volume), whereas a higher threshold optimized specificity (SUVmax threshold 40%-50%, 100% specificity).
CONCLUSIONS: Contouring of regions with high tracer-uptake resulted in very high specificities and should be used for biopsy guidance. Both manual and semi-automatic approaches using validated SUV scaling (SUVmin-max: 0-5) or thresholding (20%) may provide high sensitivity, and should be considered for PSMA-PET-based focal therapy approaches.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Contouring; Delineation; Histopathology; PSMA-PET/CT; Primary prostate cancer

Mesh:

Substances:

Year:  2019        PMID: 31431386     DOI: 10.1016/j.radonc.2019.07.002

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  18 in total

1.  Optimal 68Ga-PSMA and 18F-PSMA PET window levelling for gross tumour volume delineation in primary prostate cancer.

Authors:  Cédric Draulans; Robin De Roover; Uulke A van der Heide; Linda Kerkmeijer; Robert J Smeenk; Floris Pos; Wouter V Vogel; James Nagarajah; Marcel Janssen; Sofie Isebaert; Frederik Maes; Cindy Mai; Raymond Oyen; Steven Joniau; Martina Kunze-Busch; Karolien Goffin; Karin Haustermans
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-10-06       Impact factor: 9.236

2.  Risk Factors for Biochemical Recurrence After PSMA-PET-Guided Definitive Radiotherapy in Patients With De Novo Lymph Node-Positive Prostate Cancer.

Authors:  Simon K B Spohn; Viktoria Birkenmaier; Juri Ruf; Michael Mix; August Sigle; Erik Haehl; Sonja Adebahr; Tanja Sprave; Eleni Gkika; Alexander Rühle; Nils H Nicolay; Simon Kirste; Anca L Grosu; Constantinos Zamboglou
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

3.  Prostate cancer GTV delineation with biparametric MRI and 68Ga-PSMA-PET: comparison of expert contours and semi-automated methods.

Authors:  Nathan Hearn; John Blazak; Philip Vivian; Dinesh Vignarajah; Katelyn Cahill; Daisy Atwell; Jim Lagopoulos; Myo Min
Journal:  Br J Radiol       Date:  2021-01-28       Impact factor: 3.039

Review 4.  Recent advances of PET imaging in clinical radiation oncology.

Authors:  M Unterrainer; C Eze; H Ilhan; S Marschner; O Roengvoraphoj; N S Schmidt-Hegemann; F Walter; W G Kunz; P Munck Af Rosenschöld; R Jeraj; N L Albert; A L Grosu; M Niyazi; P Bartenstein; C Belka
Journal:  Radiat Oncol       Date:  2020-04-21       Impact factor: 3.481

5.  Intraindividual comparison between 68Ga-PSMA-PET/CT and mpMRI for intraprostatic tumor delineation in patients with primary prostate cancer: a retrospective analysis in 101 patients.

Authors:  Simon Spohn; Chiara Jaegle; Thomas F Fassbender; Tanja Sprave; Eleni Gkika; Nils H Nicolay; Michael Bock; Juri Ruf; Matthias Benndorf; Christian Gratzke; Anca L Grosu; Constantinos Zamboglou
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-04-28       Impact factor: 9.236

6.  Diagnostic efficiency of hybrid imaging using PSMA ligands, PET/CT, PET/MRI and MRI in identifying malignant prostate lesions.

Authors:  Hans Theodor Eich; Kambiz Rahbar; Sergiu Scobioala; Christopher Kittel; Heidi Wolters; Sebastian Huss; Khaled Elsayad; Robert Seifert; Lars Stegger; Matthias Weckesser; Uwe Haverkamp
Journal:  Ann Nucl Med       Date:  2021-03-19       Impact factor: 2.668

7.  The impact of the co-registration technique and analysis methodology in comparison studies between advanced imaging modalities and whole-mount-histology reference in primary prostate cancer.

Authors:  Constantinos Zamboglou; Maria Kramer; Selina Kiefer; Peter Bronsert; Lara Ceci; August Sigle; Wolfgang Schultze-Seemann; Cordula A Jilg; Tanja Sprave; Thomas F Fassbender; Nils H Nicolay; Juri Ruf; Matthias Benndorf; Anca L Grosu; Simon K B Spohn
Journal:  Sci Rep       Date:  2021-03-12       Impact factor: 4.379

8.  Isotropic Expansion of the Intraprostatic Gross Tumor Volume of Primary Prostate Cancer Patients Defined in MRI-A Correlation Study With Whole Mount Histopathological Information as Reference.

Authors:  Maria Kramer; Simon K B Spohn; Selina Kiefer; Lara Ceci; August Sigle; Benedict Oerther; Wolfgang Schultze-Seemann; Christian Gratzke; Michael Bock; Fabian Bamberg; Anca L Grosu; Matthias Benndorf; Constantinos Zamboglou
Journal:  Front Oncol       Date:  2020-11-23       Impact factor: 6.244

Review 9.  Value of PET imaging for radiation therapy.

Authors:  Constantin Lapa; Ursula Nestle; Nathalie L Albert; Christian Baues; Ambros Beer; Andreas Buck; Volker Budach; Rebecca Bütof; Stephanie E Combs; Thorsten Derlin; Matthias Eiber; Wolfgang P Fendler; Christian Furth; Cihan Gani; Eleni Gkika; Anca-L Grosu; Christoph Henkenberens; Harun Ilhan; Steffen Löck; Simone Marnitz-Schulze; Matthias Miederer; Michael Mix; Nils H Nicolay; Maximilian Niyazi; Christoph Pöttgen; Claus M Rödel; Imke Schatka; Sarah M Schwarzenboeck; Andrei S Todica; Wolfgang Weber; Simone Wegen; Thomas Wiegel; Constantinos Zamboglou; Daniel Zips; Klaus Zöphel; Sebastian Zschaeck; Daniela Thorwarth; Esther G C Troost
Journal:  Strahlenther Onkol       Date:  2021-07-14       Impact factor: 3.621

10.  Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.

Authors:  Dejan Kostyszyn; Tobias Fechter; Nico Bartl; Anca L Grosu; Christian Gratzke; August Sigle; Michael Mix; Juri Ruf; Thomas F Fassbender; Selina Kiefer; Alisa S Bettermann; Nils H Nicolay; Simon Spohn; Maria U Kramer; Peter Bronsert; Hongqian Guo; Xuefeng Qiu; Feng Wang; Christoph Henkenberens; Rudolf A Werner; Dimos Baltas; Philipp T Meyer; Thorsten Derlin; Mengxia Chen; Constantinos Zamboglou
Journal:  J Nucl Med       Date:  2020-10-30       Impact factor: 10.057

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