Literature DB >> 34649942

Head-to-Head Comparison of 68Ga-PSMA-11 PET/CT and mpMRI with a Histopathology Gold Standard in the Detection, Intraprostatic Localization, and Determination of Local Extension of Primary Prostate Cancer: Results from a Prospective Single-Center Imaging Trial.

Ida Sonni1, Ely R Felker2, Andrew T Lenis3, Anthony E Sisk4, Shadfar Bahri5,6, Martin Allen-Auerbach5,6, Wesley R Armstrong5, Voraparee Suvannarerg2,7, Teeravut Tubtawee2,8, Tristan Grogan9, David Elashoff9, Matthias Eiber5,10, Steven S Raman2, Johannes Czernin5,6,11, Robert E Reiter3,6,11, Jeremie Calais5,6,11.   

Abstract

The role of prostate-specific membrane antigen (PSMA)-targeted PET in comparison to multiparametric MRI (mpMRI) in the evaluation of intraprostatic cancer foci is not well defined. The aim of our study was to compare the diagnostic performance of 68Ga-PSMA-11 PET/CT (PSMA PET/CT), mpMRI, and PSMA PET/CT + mpMRI using 3 independent masked readers for each modality and with histopathology as the gold standard in the detection, intraprostatic localization, and determination of local extension of primary prostate cancer.
Methods: Patients with intermediate- or high-risk prostate cancer who underwent PSMA PET/CT as part of a prospective trial (NCT03368547) and mpMRI before radical prostatectomy were included. Each imaging modality was interpreted by 3 independent readers who were unaware of the other modality result. A central majority rule was applied (2:1). Pathologic examination of whole-mount slices was used as the gold standard. Imaging scans and whole-mount slices were interpreted using the same standardized approach on a segment level and a lesion level. A "neighboring" approach was used to define imaging-pathology correlation for the detection of individual prostate cancer foci. Accuracy in determining the location, extraprostatic extension (EPE), and seminal vesicle invasion (SVI) of prostate cancer foci was assessed using receiver-operating-characteristic curve analysis. Interreader agreement was calculated using intraclass correlation coefficient analysis.
Results: The final analysis included 74 patients (14 [19%] with intermediate risk and 60 [81%] with high risk). The cancer detection rate (lesion-based analysis) was 85%, 83%, and 87% for PSMA PET/CT, mpMRI, and PSMA PET/CT + mpMRI, respectively. The change in AUC was statistically significant between PSMA PET/CT + mpMRI and the 2 imaging modalities alone for delineation of tumor localization (segment-based analysis) (P < 0.001) but not between PSMA PET/CT and mpMRI (P = 0.093). mpMRI outperformed PSMA PET/CT in detecting EPE (P = 0.002) and SVI (P = 0.001). In the segment-level analysis, intraclass correlation coefficient analysis showed moderate reliability among PSMA PET/CT and mpMRI readers using a 5-point Likert scale (range, 0.53-0.64). In the evaluation of T staging, poor reliability was found among PSMA PET/CT readers and poor to moderate reliability was found for mpMRI readers.
Conclusion: PSMA PET/CT and mpMRI have similar accuracy in the detection and intraprostatic localization of prostate cancer foci. mpMRI performs better in identifying EPE and SVI. For the T-staging evaluation of intermediate to high-risk prostate cancer, mpMRI should still be considered the imaging modality of reference. Whenever available, PSMA PET/MRI or the coregistration or fusion of PSMA PET/CT and mpMRI (PSMA PET/CT + mpMRI) should be used as it improves tumor extent delineation.
© 2022 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PSMA PET/CT; T staging; mpMRI; prostate cancer; staging

Mesh:

Substances:

Year:  2021        PMID: 34649942      PMCID: PMC9157724          DOI: 10.2967/jnumed.121.262398

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   11.082


  40 in total

1.  NCCN Guidelines Insights: Prostate Cancer, Version 1.2021.

Authors:  Edward Schaeffer; Sandy Srinivas; Emmanuel S Antonarakis; Andrew J Armstrong; Justin E Bekelman; Heather Cheng; Anthony Victor D'Amico; Brian J Davis; Neil Desai; Tanya Dorff; James A Eastham; Thomas A Farrington; Xin Gao; Eric Mark Horwitz; Joseph E Ippolito; Michael R Kuettel; Joshua M Lang; Rana McKay; Jesse McKenney; George Netto; David F Penson; Julio M Pow-Sang; Robert Reiter; Sylvia Richey; Mack Roach Iii; Stan Rosenfeld; Ahmad Shabsigh; Daniel E Spratt; Benjamin A Teply; Jonathan Tward; Dorothy A Shead; Deborah A Freedman-Cass
Journal:  J Natl Compr Canc Netw       Date:  2021-02-02       Impact factor: 11.908

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.  One-Stop-Shop Whole-Body 68Ga-PSMA-11 PET/MRI Compared with Clinical Nomograms for Preoperative T and N Staging of High-Risk Prostate Cancer.

Authors:  Mark Thalgott; Charlotte Düwel; Isabel Rauscher; Matthias M Heck; Bernhard Haller; Andrei Gafita; Jürgen E Gschwend; Markus Schwaiger; Tobias Maurer; Matthias Eiber
Journal:  J Nucl Med       Date:  2018-05-24       Impact factor: 10.057

4.  Diagnostic Performance of Radiolabeled Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography for Primary Lymph Node Staging in Newly Diagnosed Intermediate to High-Risk Prostate Cancer Patients: A Systematic Review and Meta-Analysis.

Authors:  Seong-Jang Kim; Sang-Woo Lee; Hong Koo Ha
Journal:  Urol Int       Date:  2018-09-28       Impact factor: 2.089

5.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

Authors:  Terry K Koo; Mae Y Li
Journal:  J Chiropr Med       Date:  2016-03-31

6.  Magnetic Resonance Imaging Underestimation of Prostate Cancer Geometry: Use of Patient Specific Molds to Correlate Images with Whole Mount Pathology.

Authors:  Alan Priester; Shyam Natarajan; Pooria Khoshnoodi; Daniel J Margolis; Steven S Raman; Robert E Reiter; Jiaoti Huang; Warren Grundfest; Leonard S Marks
Journal:  J Urol       Date:  2016-07-30       Impact factor: 7.450

7.  Proposal for a Structured Reporting System for Prostate-Specific Membrane Antigen-Targeted PET Imaging: PSMA-RADS Version 1.0.

Authors:  Steven P Rowe; Kenneth J Pienta; Martin G Pomper; Michael A Gorin
Journal:  J Nucl Med       Date:  2017-09-08       Impact factor: 10.057

8.  Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography Compared with Conventional Imaging for Initial Staging of Treatment-naïve Intermediate- and High-risk Prostate Cancer: A Retrospective Single-center Study.

Authors:  Andrew T Lenis; Aydin Pooli; Patrick M Lec; Taylor Y Sadun; David C Johnson; Cedric Lebacle; Wolfgang P Fendler; Matthias Eiber; Johannes Czernin; Robert E Reiter; Jeremie Calais
Journal:  Eur Urol Oncol       Date:  2020-09-18

9.  Prostate Specific Membrane Antigen Positron Emission Tomography May Improve the Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging in Localized Prostate Cancer.

Authors:  H Rhee; P Thomas; B Shepherd; S Gustafson; I Vela; P J Russell; C Nelson; E Chung; G Wood; G Malone; S Wood; P Heathcote
Journal:  J Urol       Date:  2016-05-21       Impact factor: 7.450

10.  Improved specificity with 68Ga PSMA PET/CT to detect clinically significant lesions "invisible" on multiparametric MRI of the prostate: a single institution comparative analysis with radical prostatectomy histology.

Authors:  Peter Donato; Matthew J Roberts; Andrew Morton; Samuel Kyle; Geoff Coughlin; Rachel Esler; Nigel Dunglison; Robert A Gardiner; John Yaxley
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-09-19       Impact factor: 9.236

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  5 in total

Review 1.  Role of molecular imaging in the detection of localized prostate cancer.

Authors:  Samuel J Galgano; Janelle T West; Soroush Rais-Bahrami
Journal:  Ther Adv Urol       Date:  2022-06-21

2.  Feasibility of biology-guided radiotherapy using PSMA-PET to boost to dominant intraprostatic tumour.

Authors:  Mathieu Gaudreault; David Chang; Nicholas Hardcastle; Price Jackson; Tomas Kron; Michael S Hofman; Shankar Siva
Journal:  Clin Transl Radiat Oncol       Date:  2022-05-17

3.  External Validation and Comparison of Two Nomograms Predicting the Probability of Lymph Node Involvement in Patients subjected to Robot-Assisted Radical Prostatectomy and Concomitant Lymph Node Dissection: A Single Tertiary Center Experience in the MRI-Era.

Authors:  Nicola Frego; Marco Paciotti; Nicolò Maria Buffi; Davide Maffei; Roberto Contieri; Pier Paolo Avolio; Vittorio Fasulo; Alessandro Uleri; Massimo Lazzeri; Rodolfo Hurle; Alberto Saita; Giorgio Ferruccio Guazzoni; Paolo Casale; Giovanni Lughezzani
Journal:  Front Surg       Date:  2022-02-25

Review 4.  Diagnostic Accuracy of Predictive Models in Prostate Cancer: A Systematic Review and Meta-Analysis.

Authors:  Mohammad Saatchi; Fatemeh Khatami; Rahil Mashhadi; Akram Mirzaei; Leila Zareian; Zeinab Ahadi; Seyed Mohammad Kazem Aghamir
Journal:  Prostate Cancer       Date:  2022-06-08

Review 5.  The Role of PSMA PET/CT in the Primary Diagnosis and Follow-Up of Prostate Cancer-A Practical Clinical Review.

Authors:  Anna Rebecca Lisney; Conrad Leitsmann; Arne Strauß; Birgit Meller; Jan Alexander Bucerius; Carsten-Oliver Sahlmann
Journal:  Cancers (Basel)       Date:  2022-07-26       Impact factor: 6.575

  5 in total

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