View in EDS HTML Full Text PDF Full Text

Rectal endometriosis: predictive MRI signs for segmental bowel resection.

Saved in:
Bibliographic Details
Title: Rectal endometriosis: predictive MRI signs for segmental bowel resection.
Authors: Rousset, Pascal1,2,3 (AUTHOR) pascal.rousset@chu-lyon.fr, Buisson, Guillaume1,2,3 (AUTHOR), Lega, Jean-Christophe1,2,4 (AUTHOR), Charlot, Mathilde2,3 (AUTHOR), Gallice, Colin1,2,5 (AUTHOR), Cotte, Eddy1,2,6 (AUTHOR), Milot, Laurent1,2,3 (AUTHOR), Golfier, François1,2,5 (AUTHOR)
Source: European Radiology. 2021, Vol. 31 Issue 2, p884-894. 11p. 2 Black and White Photographs, 6 Charts.
Subjects: Receiver operating characteristic curves, Endometriosis, Rectal prolapse, Magnetic resonance imaging, Ureter diseases
Abstract: Objective: To retrospectively determine the accuracy of MRI rectal and pararectal signs in predicting the necessity for segmental resection in the case of lesions located in the rectum. Methods: MR images of consecutive patients treated for rectal endometriosis over a 5-year period were reviewed in consensus by two blinded readers. A systematic analysis of 7 rectal (lesion length, transverse axis, thickness and circumference, and presence of a convex base, submucosal oedema and hyperintense cystic areas) and 4 pararectal (posterior vaginal fornix, parametrial, ureteral and sacro-recto-genital septum involvements) signs was performed for each lesion. MRI results were compared to the surgical procedure performed (shaving versus segmental resection). Results: Among 61 patients studied, 32 received a segmental resection and 29, a shaving. Receiver operating characteristic curve analysis allowed determining cut-off values for length (≥ 32 mm), transverse axis (≥ 22 mm), thickness (≥ 14 mm) and circumference (≥ 3/8 radii). The 7 rectal signs, and only the sacro-recto-genital septum pararectal sign, were significantly associated with segmental resection in univariate analysis, nodular thickness ≥ 14 mm and circumference ≥ 3/8 radii being the most predictive signs (odds ratio 94.5 and 60.4, respectively). These 2 signs remained positively associated with segmental resection in multivariate analysis and, when combined, were predictive of segmental resection with an accuracy of 90.2%. Conclusion: Assessing MRI rectal and pararectal signs may accurately predict the need for segmental resection versus a more conservative approach such as shaving for rectal lesion management. Key Points: • MRI analysis of rectal endometriosis, taking into account rectal and pararectal signs, may assist surgeons in the decision-making process, in counselling patients regarding the surgical procedure and in adequately allocating resources. • Among rectal signs, nodular thickness ≥ 14 mm and a circumference ≥ 38% were the most predictive signs of segmental resection. • Among pararectal signs, only the sacro-recto-genital septum involvement was significantly associated with segmental resection. [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: 148163979
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Rectal endometriosis: predictive MRI signs for segmental bowel resection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rousset%2C+Pascal%22">Rousset, Pascal</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> pascal.rousset@chu-lyon.fr</i><br /><searchLink fieldCode="AR" term="%22Buisson%2C+Guillaume%22">Buisson, Guillaume</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lega%2C+Jean-Christophe%22">Lega, Jean-Christophe</searchLink><relatesTo>1,2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Charlot%2C+Mathilde%22">Charlot, Mathilde</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gallice%2C+Colin%22">Gallice, Colin</searchLink><relatesTo>1,2,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cotte%2C+Eddy%22">Cotte, Eddy</searchLink><relatesTo>1,2,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Milot%2C+Laurent%22">Milot, Laurent</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Golfier%2C+François%22">Golfier, François</searchLink><relatesTo>1,2,5</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. 2021, Vol. 31 Issue 2, p884-894. 11p. 2 Black and White Photographs, 6 Charts.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Endometriosis%22">Endometriosis</searchLink><br /><searchLink fieldCode="DE" term="%22Rectal+prolapse%22">Rectal prolapse</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Ureter+diseases%22">Ureter diseases</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: To retrospectively determine the accuracy of MRI rectal and pararectal signs in predicting the necessity for segmental resection in the case of lesions located in the rectum. Methods: MR images of consecutive patients treated for rectal endometriosis over a 5-year period were reviewed in consensus by two blinded readers. A systematic analysis of 7 rectal (lesion length, transverse axis, thickness and circumference, and presence of a convex base, submucosal oedema and hyperintense cystic areas) and 4 pararectal (posterior vaginal fornix, parametrial, ureteral and sacro-recto-genital septum involvements) signs was performed for each lesion. MRI results were compared to the surgical procedure performed (shaving versus segmental resection). Results: Among 61 patients studied, 32 received a segmental resection and 29, a shaving. Receiver operating characteristic curve analysis allowed determining cut-off values for length (≥ 32 mm), transverse axis (≥ 22 mm), thickness (≥ 14 mm) and circumference (≥ 3/8 radii). The 7 rectal signs, and only the sacro-recto-genital septum pararectal sign, were significantly associated with segmental resection in univariate analysis, nodular thickness ≥ 14 mm and circumference ≥ 3/8 radii being the most predictive signs (odds ratio 94.5 and 60.4, respectively). These 2 signs remained positively associated with segmental resection in multivariate analysis and, when combined, were predictive of segmental resection with an accuracy of 90.2%. Conclusion: Assessing MRI rectal and pararectal signs may accurately predict the need for segmental resection versus a more conservative approach such as shaving for rectal lesion management. Key Points: • MRI analysis of rectal endometriosis, taking into account rectal and pararectal signs, may assist surgeons in the decision-making process, in counselling patients regarding the surgical procedure and in adequately allocating resources. • Among rectal signs, nodular thickness ≥ 14 mm and a circumference ≥ 38% were the most predictive signs of segmental resection. • Among pararectal signs, only the sacro-recto-genital septum involvement was significantly associated with segmental resection. [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=148163979
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00330-020-07170-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 884
    Subjects:
      – SubjectFull: Receiver operating characteristic curves
        Type: general
      – SubjectFull: Endometriosis
        Type: general
      – SubjectFull: Rectal prolapse
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Ureter diseases
        Type: general
    Titles:
      – TitleFull: Rectal endometriosis: predictive MRI signs for segmental bowel resection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rousset, Pascal
      – PersonEntity:
          Name:
            NameFull: Buisson, Guillaume
      – PersonEntity:
          Name:
            NameFull: Lega, Jean-Christophe
      – PersonEntity:
          Name:
            NameFull: Charlot, Mathilde
      – PersonEntity:
          Name:
            NameFull: Gallice, Colin
      – PersonEntity:
          Name:
            NameFull: Cotte, Eddy
      – PersonEntity:
          Name:
            NameFull: Milot, Laurent
      – PersonEntity:
          Name:
            NameFull: Golfier, François
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 09387994
          Numbering:
            – Type: volume
              Value: 31
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: European Radiology
              Type: main
ResultId 1