The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region

Martina Martins; Stefano Regusci; Stephane Rohner; Ildiko Szalay-Quinodoz; Georges-Antoine De Boccard; Louise Strom; Gerjon Hannink; Sonia Ramos-Pascual; Charles Henry Rochat

doi:10.1002/bco2.62

The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region

BJUI Compass. 2020 Nov 28;2(3):178-187. doi: 10.1002/bco2.62. eCollection 2021 May.

Authors

Martina Martins^{1

2}, Stefano Regusci^{1

3}, Stephane Rohner¹, Ildiko Szalay-Quinodoz¹, Georges-Antoine De Boccard^{1

3}, Louise Strom⁴, Gerjon Hannink⁵, Sonia Ramos-Pascual⁴, Charles Henry Rochat^{1

3}

Affiliations

¹ Swiss International Prostate Center Geneva Switzerland.
² ImageRive, Institut de Radiologie Spécialisée Geneva Switzerland.
³ Clinique Générale Beaulieu Geneva Switzerland.
⁴ ReSurg SA Nyon Switzerland.
⁵ Radboud University Medical Center Nijmegen Netherlands.

PMID: 35475134
PMCID: PMC8988780
DOI: 10.1002/bco2.62

Abstract

Objectives: To determine the diagnostic accuracy of 3T multiparametric magnetic resonance imaging (mpMRI) for detecting and locating prostate cancer (PCa) on Dickinson's 27-sector map, using histopathology specimens from radical prostatectomy (RP) as the reference standard.

Patients and methods: The authors studied a continuous series of 140 patients who underwent RP over three consecutive years. Prior to RP, all patients had mpMRI for detection and localization of PCa and further assessment by biopsy. To minimize the potential of disease progression, 25 patients were excluded because the interval between mpMRI and RP exceeded 6 months, which left 115 patients eligible for analysis. The mpMRI findings were reported using the Prostate Imaging-Reporting and Data System (PI-RADS) v2, considering PI-RADS ≥ 3 to indicate PCa. The histopathology findings from RP specimens were graded using the Gleason scoring system, considering Gleason ≥ 6 to indicate PCa. The location of the tumors was mapped on Dickinson's 27-sector map for both mpMRI and histopathology and compared by rigid sector-by-sector matching.

Results: The cohort of 115 patients eligible for analysis was aged 66.5 ± 6.0 years at RP. Of the 3105 sectors analyzed, there were 412 true positives (13%), 28 false positives (1%), 68 false negatives (2%), and 2597 true negatives (84%). Across the 27 sectors of the prostate, mpMRI sensitivity ranged from 50% to 100% and specificity from 96% to 100%, while PPV ranged from 50% to 100%, and NPV from 91% to 100%. For the anterior prostate, mpMRI had a sensitivity of 80% (CI, 71%-86%), specificity of 99% (CI, 99%-100%), PPV of 91% (CI, 83%-95%), and NPV of 99% (CI, 98%-99%). For the posterior prostate, mpMRI had a sensitivity of 88% (CI, 84%-91%), specificity of 98% (CI, 97%-99%), PPV of 94% (CI, 92%-96%), and NPV of 96% (CI, 94%-97%). Overall, mpMRI had a sensitivity of 86%, specificity of 99%, PPV of 94%, and NPV of 97%.

Conclusions: The accuracy of mpMRI in detecting and locating prostate tumors depends on the affected region, but its high NPV across all sectors suggests that negative findings may not need corroboration by other techniques.

Keywords: PI‐RADS; diagnostic accuracy; localization; magnetic resonance imaging; mpMRI; prostate cancer; radical prostatectomy.