View in EDS HTML Full Text PDF Full Text

Diagnostic accuracy of multiparametric MRI for detecting unconventional prostate cancer histology: a systematic review and meta-analysis.

Saved in:
Bibliographic Details
Title: Diagnostic accuracy of multiparametric MRI for detecting unconventional prostate cancer histology: a systematic review and meta-analysis.
Authors: Carletti, Filippo1 (AUTHOR), Maggi, Martina2 (AUTHOR), Fazekas, Tamas3,4 (AUTHOR), Rajwa, Pawel3,5 (AUTHOR), Nicoletti, Rossella6 (AUTHOR), Olivier, Jonathan7 (AUTHOR), Preisser, Felix8 (AUTHOR), Soeterik, Timo F. W.9 (AUTHOR), Giganti, Francesco10,11 (AUTHOR), Martini, Alberto12 (AUTHOR), Heidegger, Isabel13 (AUTHOR), Kasivisvanathan, Veeru11 (AUTHOR), Pradère, Benjamin14 (AUTHOR), Ploussard, Guillaume14 (AUTHOR), Hadaschik, Boris15 (AUTHOR), Moro, Fabrizio Dal1 (AUTHOR), van den Bergh, Roderick C. N.16 (AUTHOR), Marra, Giancarlo17 (AUTHOR), Gandaglia, Giorgio18 (AUTHOR), Zattoni, Fabio1,19 (AUTHOR) fabio.zattoni@unipd.it
Source: European Radiology. Jan2026, Vol. 36 Issue 1, p17-29. 13p.
Subjects: Prostate cancer, Histology, Magnetic resonance imaging, Prostate tumors
Abstract: Background and objective: Accurate detection of unconventional histologies (UH) in prostate cancer (PCa) is crucial for treatment planning and prognosis. This systematic review and meta-analysis aimed to evaluate the accuracy of multiparametric magnetic resonance imaging (mpMRI) in detecting UH on prostatectomy, particularly cribriform architecture (CA) and intraductal carcinoma (IDC-P), in patients with localized PCa. Methods: A literature search was conducted in major databases for studies published after 2000. Seventeen articles fulfilled the inclusion criteria and were eligible for qualitative analysis. Five studies met the inclusion criteria for meta-analysis. Results: The pooled sensitivity and specificity of mpMRI (Prostate Imaging Reporting and Data System (PI-RADS) cutoff 3) to detect cribriform architecture were 0.91 and 0.29. The proportion of cribriform lesions increased with higher PI-RADS scores (23.2% for PI-RADS 1-2 to 66.7% for PI-RADS 5). For intraductal carcinoma (IDC-P), two studies found that IDC-P lesions were visible on mpMRI and had lower apparent diffusion coefficient (ADC) values compared to acinar prostate cancer. Four studies evaluating combined CA/IDC-P found sensitivities ranging from 33 to 100%. Lower ADC values were associated with CA/IDC-P in some studies, but not in others. Overall, mpMRI demonstrated promising sensitivity but moderate specificity in detecting these aggressive histological variants, with continued challenges in accurate sampling and characterization of mpMRI. Conclusions: mpMRI shows high sensitivity but moderate specificity in detecting cribriform architecture in PCa, especially for high PI-RADS scores. These findings support the use of mpMRI for UH detection, but caution is advised in clinical interpretation. Larger prospective studies are needed to validate these results before routine clinical application. Patient summary: We studied how effective MRI is at identifying different UH of PCa, such as cribriform architecture and intraductal carcinoma. MRI is accurate at detecting these cancers when they are present, but it also produces a significant number of false positives. More research is needed to standardize imaging protocols and histological definition and ensure an accurate diagnosis. Key Points: QuestionThe accurate detection of unconventional histologies in prostate cancer, particularly cribriform architecture and intraductal carcinoma, is challenging but crucial for treatment planning and prognosis. FindingsmpMRI shows high sensitivity (91%) but low specificity (29%) for detecting cribriform architecture, with detection rates increasing proportionally with higher PI-RADS scores. Clinical relevancempMRI can effectively detect aggressive unconventional histologies in prostate cancer, though its moderate specificity suggests the need for careful interpretation. This aids in risk stratification and treatment planning, potentially improving patient outcomes. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 190358932
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Diagnostic accuracy of multiparametric MRI for detecting unconventional prostate cancer histology: a systematic review and meta-analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Carletti%2C+Filippo%22">Carletti, Filippo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maggi%2C+Martina%22">Maggi, Martina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fazekas%2C+Tamas%22">Fazekas, Tamas</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rajwa%2C+Pawel%22">Rajwa, Pawel</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicoletti%2C+Rossella%22">Nicoletti, Rossella</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Olivier%2C+Jonathan%22">Olivier, Jonathan</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Preisser%2C+Felix%22">Preisser, Felix</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Soeterik%2C+Timo+F%2E+W%2E%22">Soeterik, Timo F. W.</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Giganti%2C+Francesco%22">Giganti, Francesco</searchLink><relatesTo>10,11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martini%2C+Alberto%22">Martini, Alberto</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Heidegger%2C+Isabel%22">Heidegger, Isabel</searchLink><relatesTo>13</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kasivisvanathan%2C+Veeru%22">Kasivisvanathan, Veeru</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pradère%2C+Benjamin%22">Pradère, Benjamin</searchLink><relatesTo>14</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ploussard%2C+Guillaume%22">Ploussard, Guillaume</searchLink><relatesTo>14</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hadaschik%2C+Boris%22">Hadaschik, Boris</searchLink><relatesTo>15</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moro%2C+Fabrizio+Dal%22">Moro, Fabrizio Dal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+den+Bergh%2C+Roderick+C%2E+N%2E%22">van den Bergh, Roderick C. N.</searchLink><relatesTo>16</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marra%2C+Giancarlo%22">Marra, Giancarlo</searchLink><relatesTo>17</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gandaglia%2C+Giorgio%22">Gandaglia, Giorgio</searchLink><relatesTo>18</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zattoni%2C+Fabio%22">Zattoni, Fabio</searchLink><relatesTo>1,19</relatesTo> (AUTHOR)<i> fabio.zattoni@unipd.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jan2026, Vol. 36 Issue 1, p17-29. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Prostate+cancer%22">Prostate cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Histology%22">Histology</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Prostate+tumors%22">Prostate tumors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background and objective: Accurate detection of unconventional histologies (UH) in prostate cancer (PCa) is crucial for treatment planning and prognosis. This systematic review and meta-analysis aimed to evaluate the accuracy of multiparametric magnetic resonance imaging (mpMRI) in detecting UH on prostatectomy, particularly cribriform architecture (CA) and intraductal carcinoma (IDC-P), in patients with localized PCa. Methods: A literature search was conducted in major databases for studies published after 2000. Seventeen articles fulfilled the inclusion criteria and were eligible for qualitative analysis. Five studies met the inclusion criteria for meta-analysis. Results: The pooled sensitivity and specificity of mpMRI (Prostate Imaging Reporting and Data System (PI-RADS) cutoff 3) to detect cribriform architecture were 0.91 and 0.29. The proportion of cribriform lesions increased with higher PI-RADS scores (23.2% for PI-RADS 1-2 to 66.7% for PI-RADS 5). For intraductal carcinoma (IDC-P), two studies found that IDC-P lesions were visible on mpMRI and had lower apparent diffusion coefficient (ADC) values compared to acinar prostate cancer. Four studies evaluating combined CA/IDC-P found sensitivities ranging from 33 to 100%. Lower ADC values were associated with CA/IDC-P in some studies, but not in others. Overall, mpMRI demonstrated promising sensitivity but moderate specificity in detecting these aggressive histological variants, with continued challenges in accurate sampling and characterization of mpMRI. Conclusions: mpMRI shows high sensitivity but moderate specificity in detecting cribriform architecture in PCa, especially for high PI-RADS scores. These findings support the use of mpMRI for UH detection, but caution is advised in clinical interpretation. Larger prospective studies are needed to validate these results before routine clinical application. Patient summary: We studied how effective MRI is at identifying different UH of PCa, such as cribriform architecture and intraductal carcinoma. MRI is accurate at detecting these cancers when they are present, but it also produces a significant number of false positives. More research is needed to standardize imaging protocols and histological definition and ensure an accurate diagnosis. Key Points: QuestionThe accurate detection of unconventional histologies in prostate cancer, particularly cribriform architecture and intraductal carcinoma, is challenging but crucial for treatment planning and prognosis. FindingsmpMRI shows high sensitivity (91%) but low specificity (29%) for detecting cribriform architecture, with detection rates increasing proportionally with higher PI-RADS scores. Clinical relevancempMRI can effectively detect aggressive unconventional histologies in prostate cancer, though its moderate specificity suggests the need for careful interpretation. This aids in risk stratification and treatment planning, potentially improving patient outcomes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190358932
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00330-025-11603-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 17
    Subjects:
      – SubjectFull: Prostate cancer
        Type: general
      – SubjectFull: Histology
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Prostate tumors
        Type: general
    Titles:
      – TitleFull: Diagnostic accuracy of multiparametric MRI for detecting unconventional prostate cancer histology: a systematic review and meta-analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Carletti, Filippo
      – PersonEntity:
          Name:
            NameFull: Maggi, Martina
      – PersonEntity:
          Name:
            NameFull: Fazekas, Tamas
      – PersonEntity:
          Name:
            NameFull: Rajwa, Pawel
      – PersonEntity:
          Name:
            NameFull: Nicoletti, Rossella
      – PersonEntity:
          Name:
            NameFull: Olivier, Jonathan
      – PersonEntity:
          Name:
            NameFull: Preisser, Felix
      – PersonEntity:
          Name:
            NameFull: Soeterik, Timo F. W.
      – PersonEntity:
          Name:
            NameFull: Giganti, Francesco
      – PersonEntity:
          Name:
            NameFull: Martini, Alberto
      – PersonEntity:
          Name:
            NameFull: Heidegger, Isabel
      – PersonEntity:
          Name:
            NameFull: Kasivisvanathan, Veeru
      – PersonEntity:
          Name:
            NameFull: Pradère, Benjamin
      – PersonEntity:
          Name:
            NameFull: Ploussard, Guillaume
      – PersonEntity:
          Name:
            NameFull: Hadaschik, Boris
      – PersonEntity:
          Name:
            NameFull: Moro, Fabrizio Dal
      – PersonEntity:
          Name:
            NameFull: van den Bergh, Roderick C. N.
      – PersonEntity:
          Name:
            NameFull: Marra, Giancarlo
      – PersonEntity:
          Name:
            NameFull: Gandaglia, Giorgio
      – PersonEntity:
          Name:
            NameFull: Zattoni, Fabio
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09387994
          Numbering:
            – Type: volume
              Value: 36
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: European Radiology
              Type: main
ResultId 1