Literature DB >> 33712662

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.

Constantinos Zamboglou1,2,3, Maria Kramer1, Selina Kiefer4, Peter Bronsert4,5, Lara Ceci1, August Sigle6, Wolfgang Schultze-Seemann6, Cordula A Jilg6, Tanja Sprave1,2, Thomas F Fassbender7, Nils H Nicolay1,2, Juri Ruf7, Matthias Benndorf8, Anca L Grosu1,2, Simon K B Spohn9,10,11.   

Abstract

Comparison studies using histopathology as standard of reference enable a validation of the diagnostic performance of imaging methods. This study analysed (1) the impact of different image-histopathology co-registration pathways, (2) the impact of the applied data analysis method and (3) intraindividually compared multiparametric magnet resonance tomography (mpMRI) and prostate specific membrane antigen positron emission tomography (PSMA-PET) by using the different approaches. Ten patients with primary PCa who underwent mpMRI and [18F]PSMA-1007 PET/CT followed by prostatectomy were prospectively enrolled. We demonstrate that the choice of the intermediate registration step [(1) via ex-vivo CT or (2) mpMRI] does not significantly affect the performance of the registration framework. Comparison of analysis methods revealed that methods using high spatial resolutions e.g. quadrant-based slice-by-slice analysis are beneficial for a differentiated analysis of performance, compared to methods with a lower resolution (segment-based analysis with 6 or 18 segments and lesions-based analysis). Furthermore, PSMA-PET outperformed mpMRI for intraprostatic PCa detection in terms of sensitivity (median %: 83-85 vs. 60-69, p < 0.04) with similar specificity (median %: 74-93.8 vs. 100) using both registration pathways. To conclude, the choice of an intermediate registration pathway does not significantly affect registration performance, analysis methods with high spatial resolution are preferable and PSMA-PET outperformed mpMRI in terms of sensitivity in our cohort.

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Year:  2021        PMID: 33712662      PMCID: PMC7954803          DOI: 10.1038/s41598-021-85028-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

1.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

2.  Detection of Individual Prostate Cancer Foci via Multiparametric Magnetic Resonance Imaging.

Authors:  David C Johnson; Steven S Raman; Sohrab A Mirak; Lorna Kwan; Amirhossein M Bajgiran; William Hsu; Cleo K Maehara; Preeti Ahuja; Izak Faiena; Aydin Pooli; Amirali Salmasi; Anthony Sisk; Ely R Felker; David S K Lu; Robert E Reiter
Journal:  Eur Urol       Date:  2018-12-01       Impact factor: 20.096

3.  Semi-automatic deformable registration of prostate MR images to pathological slices.

Authors:  Yousef Mazaheri; Louisa Bokacheva; Dirk-Jan Kroon; Oguz Akin; Hedvig Hricak; Daniel Chamudot; Samson Fine; Jason A Koutcher
Journal:  J Magn Reson Imaging       Date:  2010-11       Impact factor: 4.813

4.  68Ga-PSMA PET/CT vs. mpMRI for locoregional prostate cancer staging: correlation with final histopathology.

Authors:  I Berger; C Annabattula; J Lewis; D V Shetty; J Kam; F Maclean; M Arianayagam; B Canagasingham; R Ferguson; M Khadra; R Ko; M Winter; H Loh; C Varol
Journal:  Prostate Cancer Prostatic Dis       Date:  2018-06-01       Impact factor: 5.554

5.  Intraindividual Comparison of 18F-PSMA-1007 PET/CT, Multiparametric MRI, and Radical Prostatectomy Specimens in Patients with Primary Prostate Cancer: A Retrospective, Proof-of-Concept Study.

Authors:  Claudia Kesch; Maria Vinsensia; Jan P Radtke; Heinz P Schlemmer; Martina Heller; Elena Ellert; Tim Holland-Letz; Stefan Duensing; Nils Grabe; Ali Afshar-Oromieh; Kathrin Wieczorek; Martin Schäfer; Oliver C Neels; Jens Cardinale; Clemens Kratochwil; Markus Hohenfellner; Klaus Kopka; Uwe Haberkorn; Boris A Hadaschik; Frederik L Giesel
Journal:  J Nucl Med       Date:  2017-05-04       Impact factor: 10.057

6.  68Ga-PSMA PET/CT better characterises localised prostate cancer after MRI and transperineal prostate biopsy: Is 68Ga-PSMA PET/CT guided biopsy the future?

Authors:  Peter Donato; Andrew Morton; John Yaxley; Sachinka Ranasinghe; Patrick E Teloken; Samuel Kyle; Geoff Coughlin; Rachel Esler; Nigel Dunglison; Robert A Gardiner; Matthew J Roberts
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-01-07       Impact factor: 9.236

7.  Registration of in vivo prostate MRI and pseudo-whole mount histology using Local Affine Transformations guided by Internal Structures (LATIS).

Authors:  Chaitanya Kalavagunta; Xiangmin Zhou; Stephen C Schmechel; Gregory J Metzger
Journal:  J Magn Reson Imaging       Date:  2014-04-04       Impact factor: 4.813

8.  Comparison of 68Ga-HBED-CC PSMA-PET/CT and multiparametric MRI for gross tumour volume detection in patients with primary prostate cancer based on slice by slice comparison with histopathology.

Authors:  Constantinos Zamboglou; Vanessa Drendel; Cordula A Jilg; Hans C Rischke; Teresa I Beck; Wolfgang Schultze-Seemann; Tobias Krauss; Michael Mix; Florian Schiller; Ulrich Wetterauer; Martin Werner; Mathias Langer; Michael Bock; Philipp T Meyer; Anca L Grosu
Journal:  Theranostics       Date:  2017-01-01       Impact factor: 11.556

9.  ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

Authors:  Wei Shao; Linda Banh; Christian A Kunder; Richard E Fan; Simon J C Soerensen; Jeffrey B Wang; Nikola C Teslovich; Nikhil Madhuripan; Anugayathri Jawahar; Pejman Ghanouni; James D Brooks; Geoffrey A Sonn; Mirabela Rusu
Journal:  Med Image Anal       Date:  2020-12-17       Impact factor: 8.545

10.  Comparison of Manual and Semi-Automatic [18F]PSMA-1007 PET Based Contouring Techniques for Intraprostatic Tumor Delineation in Patients With Primary Prostate Cancer and Validation With Histopathology as Standard of Reference.

Authors:  Simon K B Spohn; Maria Kramer; Selina Kiefer; Peter Bronsert; August Sigle; Wolfgang Schultze-Seemann; Cordula A Jilg; Tanja Sprave; Lara Ceci; Thomas F Fassbender; Nils H Nicolay; Juri Ruf; Anca L Grosu; Constantinos Zamboglou
Journal:  Front Oncol       Date:  2020-12-07       Impact factor: 6.244

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  7 in total

1.  Correlation Between Quantitative PSMA PET Parameters and Clinical Risk Factors in Non-Metastatic Primary Prostate Cancer Patients.

Authors:  Sebastian Zschaeck; Stephanie Bela Andela; Holger Amthauer; Christian Furth; Julian M Rogasch; Marcus Beck; Frank Hofheinz; Kai Huang
Journal:  Front Oncol       Date:  2022-04-22       Impact factor: 5.738

2.  Feasibility, pitfalls and results of a structured concept-development phase for a randomized controlled phase III trial on radiotherapy in primary prostate cancer patients.

Authors:  S K B Spohn; S Adebahr; M Huber; C Jenkner; R Wiehle; B Nagavci; C Schmucker; E G Carl; R C Chen; W A Weber; M Mix; A Rühle; T Sprave; N H Nicolay; C Gratzke; M Benndorf; T Wiegel; J Weis; D Baltas; A L Grosu; C Zamboglou
Journal:  BMC Cancer       Date:  2022-03-28       Impact factor: 4.430

Review 3.  Radiomics in prostate cancer: an up-to-date review.

Authors:  Matteo Ferro; Ottavio de Cobelli; Gennaro Musi; Francesco Del Giudice; Giuseppe Carrieri; Gian Maria Busetto; Ugo Giovanni Falagario; Alessandro Sciarra; Martina Maggi; Felice Crocetto; Biagio Barone; Vincenzo Francesco Caputo; Michele Marchioni; Giuseppe Lucarelli; Ciro Imbimbo; Francesco Alessandro Mistretta; Stefano Luzzago; Mihai Dorin Vartolomei; Luigi Cormio; Riccardo Autorino; Octavian Sabin Tătaru
Journal:  Ther Adv Urol       Date:  2022-07-04

4.  Intraindividual Comparison Between [18F] PSMA-1007 PET/CT and Multiparametric MRI for Radiotherapy Planning in Primary Prostate Cancer Patients.

Authors:  Ioana M Marinescu; Simon K B Spohn; Selina Kiefer; Peter Bronsert; Lara Ceci; Julius Holzschuh; August Sigle; Cordula A Jilg; Alexander Rühle; Tanja Sprave; Nils H Nicolay; Robert Winzer; Jana Rehm; Jörg Kotzerke; Tobias Hölscher; Anca L Grosu; Juri Ruf; Matthias Benndorf; Constantinos Zamboglou
Journal:  Front Oncol       Date:  2022-07-14       Impact factor: 5.738

Review 5.  Comparison of Multiparametric Magnetic Resonance Imaging with Prostate-Specific Membrane Antigen Positron-Emission Tomography Imaging in Primary Prostate Cancer Diagnosis: A Systematic Review and Meta-Analysis.

Authors:  Yi Zhao; Benjamin S Simpson; Naomi Morka; Alex Freeman; Alex Kirkham; Daniel Kelly; Hayley C Whitaker; Mark Emberton; Joseph M Norris
Journal:  Cancers (Basel)       Date:  2022-07-19       Impact factor: 6.575

Review 6.  A review of artificial intelligence in prostate cancer detection on imaging.

Authors:  Indrani Bhattacharya; Yash S Khandwala; Sulaiman Vesal; Wei Shao; Qianye Yang; Simon J C Soerensen; Richard E Fan; Pejman Ghanouni; Christian A Kunder; James D Brooks; Yipeng Hu; Mirabela Rusu; Geoffrey A Sonn
Journal:  Ther Adv Urol       Date:  2022-10-10

Review 7.  Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies.

Authors:  Simon K B Spohn; Alisa S Bettermann; Fabian Bamberg; Matthias Benndorf; Michael Mix; Nils H Nicolay; Tobias Fechter; Tobias Hölscher; Radu Grosu; Arturo Chiti; Anca L Grosu; Constantinos Zamboglou
Journal:  Theranostics       Date:  2021-07-06       Impact factor: 11.556

  7 in total

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