ESUR consensus MRI for endometriosis: indications, reporting, and classifications.
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| Title: | ESUR consensus MRI for endometriosis: indications, reporting, and classifications. |
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| Authors: | Thomassin-Naggara, Isabelle1,2 (AUTHOR) Isabelle.thomassin@aphp.fr, Dolciami, Miriam3 (AUTHOR), Chamie, Luciana P.4 (AUTHOR), Guerra, Adalgisa5 (AUTHOR), Bharwani, Nishat6,7 (AUTHOR), Freeman, Susan8 (AUTHOR), Rousset, Pascal9 (AUTHOR), Manganaro, Lucia10 (AUTHOR), Avesani, Giacomo3 (AUTHOR), Bazot, Marc1 (AUTHOR), Cunha, Teresa Margarida11 (AUTHOR), Franco, Paolo Niccolò12 (AUTHOR), Freeman, Sue8 (AUTHOR), Forstner, Rosemarie13 (AUTHOR), Gui, Benedetta3 (AUTHOR), Kermarrec, Edith1 (AUTHOR), Rizzo, Stefania14,15 (AUTHOR), Sahin, Hilal16 (AUTHOR), Mansournia, Shiwa17 (AUTHOR), Villalba, Laura Buñesch18 (AUTHOR) |
| Source: | European Radiology. Nov2025, Vol. 35 Issue 11, p7260-7268. 9p. |
| Subjects: | Endometriosis, Magnetic resonance imaging, Best practices, Documentation standards, Classification, Visual communication, Disclosure, Transvaginal ultrasonography |
| Abstract: | Objective: To propose an update of ESUR endometriosis guidelines to reflect advances in MRI indications, reporting, and classifications. Methods: The ESUR Research Committee appointed two chairs (I.T.N., L.M.) to supervise the development of the updated guidelines. Following literature research, a survey was delivered to 20 experts in gynecological imaging from 10 countries. Two rounds of surveys were conducted to obtain a consensus according to a Delphi process method. In this article, the results regarding MR indication, the use of standardized reports, and classifications are presented Results: Magnetic resonance imaging (MRI) is recommended when transvaginal ultrasonography is inconclusive in diagnosing endometriosis or negative, in a symptomatic patient, before surgery or interventional procedure, or after surgical treatment if symptoms persist. ESUR panelists consider the roles of an MR classification: to improve communication between radiologist and surgeon (100%, 20/20) and between the radiologist and the patient (45%, 9/20), to predict operating time if surgery is planned (70%, 14/20), to predict the length of hospital stay after surgery (40%, 8/20), and to predict postoperative complications (70%, 14/20). ESUR panelists strongly agree that using an MR classification is useful (19/20, 95%), especially the radiological score, deep-pelvic endometriosis index (dPEI). Among the ESUR expert group, 9/20 experts (45%) used or agreed to use drawings in their report to improve communication with patients. Conclusion: Standardized MR reporting is crucial and should include the use of MR classification. Drawings are considered an option, knowing that communication with the patient and surgeon is of paramount importance. Key Points: QuestionESUR's endometriosis guidelines were last published in 2017; an update is provided to reflect advances in MRI indications, reporting, and classifications. FindingsMRI is advised for inconclusive/negative transvaginal ultrasound in symptomatic patients, before surgery, or post-treatment if symptoms persist. A structured report enhances communication with surgeons and patients. Clinical relevanceA standardized report based on a compartmental analysis of the location of endometriotic nodules, with optional drawings, is essential for comprehensive mapping and optimal communication with both patient and surgeon. [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.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 188901852 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ESUR consensus MRI for endometriosis: indications, reporting, and classifications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Thomassin-Naggara%2C+Isabelle%22">Thomassin-Naggara, Isabelle</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> Isabelle.thomassin@aphp.fr</i><br /><searchLink fieldCode="AR" term="%22Dolciami%2C+Miriam%22">Dolciami, Miriam</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chamie%2C+Luciana+P%2E%22">Chamie, Luciana P.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guerra%2C+Adalgisa%22">Guerra, Adalgisa</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bharwani%2C+Nishat%22">Bharwani, Nishat</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Freeman%2C+Susan%22">Freeman, Susan</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rousset%2C+Pascal%22">Rousset, Pascal</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Manganaro%2C+Lucia%22">Manganaro, Lucia</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Avesani%2C+Giacomo%22">Avesani, Giacomo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bazot%2C+Marc%22">Bazot, Marc</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cunha%2C+Teresa+Margarida%22">Cunha, Teresa Margarida</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Franco%2C+Paolo+Niccolò%22">Franco, Paolo Niccolò</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Freeman%2C+Sue%22">Freeman, Sue</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Forstner%2C+Rosemarie%22">Forstner, Rosemarie</searchLink><relatesTo>13</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gui%2C+Benedetta%22">Gui, Benedetta</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kermarrec%2C+Edith%22">Kermarrec, Edith</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rizzo%2C+Stefania%22">Rizzo, Stefania</searchLink><relatesTo>14,15</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sahin%2C+Hilal%22">Sahin, Hilal</searchLink><relatesTo>16</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mansournia%2C+Shiwa%22">Mansournia, Shiwa</searchLink><relatesTo>17</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Villalba%2C+Laura+Buñesch%22">Villalba, Laura Buñesch</searchLink><relatesTo>18</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Nov2025, Vol. 35 Issue 11, p7260-7268. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Endometriosis%22">Endometriosis</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Best+practices%22">Best practices</searchLink><br /><searchLink fieldCode="DE" term="%22Documentation+standards%22">Documentation standards</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+communication%22">Visual communication</searchLink><br /><searchLink fieldCode="DE" term="%22Disclosure%22">Disclosure</searchLink><br /><searchLink fieldCode="DE" term="%22Transvaginal+ultrasonography%22">Transvaginal ultrasonography</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: To propose an update of ESUR endometriosis guidelines to reflect advances in MRI indications, reporting, and classifications. Methods: The ESUR Research Committee appointed two chairs (I.T.N., L.M.) to supervise the development of the updated guidelines. Following literature research, a survey was delivered to 20 experts in gynecological imaging from 10 countries. Two rounds of surveys were conducted to obtain a consensus according to a Delphi process method. In this article, the results regarding MR indication, the use of standardized reports, and classifications are presented Results: Magnetic resonance imaging (MRI) is recommended when transvaginal ultrasonography is inconclusive in diagnosing endometriosis or negative, in a symptomatic patient, before surgery or interventional procedure, or after surgical treatment if symptoms persist. ESUR panelists consider the roles of an MR classification: to improve communication between radiologist and surgeon (100%, 20/20) and between the radiologist and the patient (45%, 9/20), to predict operating time if surgery is planned (70%, 14/20), to predict the length of hospital stay after surgery (40%, 8/20), and to predict postoperative complications (70%, 14/20). ESUR panelists strongly agree that using an MR classification is useful (19/20, 95%), especially the radiological score, deep-pelvic endometriosis index (dPEI). Among the ESUR expert group, 9/20 experts (45%) used or agreed to use drawings in their report to improve communication with patients. Conclusion: Standardized MR reporting is crucial and should include the use of MR classification. Drawings are considered an option, knowing that communication with the patient and surgeon is of paramount importance. Key Points: QuestionESUR's endometriosis guidelines were last published in 2017; an update is provided to reflect advances in MRI indications, reporting, and classifications. FindingsMRI is advised for inconclusive/negative transvaginal ultrasound in symptomatic patients, before surgery, or post-treatment if symptoms persist. A structured report enhances communication with surgeons and patients. Clinical relevanceA standardized report based on a compartmental analysis of the location of endometriotic nodules, with optional drawings, is essential for comprehensive mapping and optimal communication with both patient and surgeon. [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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-025-11579-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 7260 Subjects: – SubjectFull: Endometriosis Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Best practices Type: general – SubjectFull: Documentation standards Type: general – SubjectFull: Classification Type: general – SubjectFull: Visual communication Type: general – SubjectFull: Disclosure Type: general – SubjectFull: Transvaginal ultrasonography Type: general Titles: – TitleFull: ESUR consensus MRI for endometriosis: indications, reporting, and classifications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thomassin-Naggara, Isabelle – PersonEntity: Name: NameFull: Dolciami, Miriam – PersonEntity: Name: NameFull: Chamie, Luciana P. – PersonEntity: Name: NameFull: Guerra, Adalgisa – PersonEntity: Name: NameFull: Bharwani, Nishat – PersonEntity: Name: NameFull: Freeman, Susan – PersonEntity: Name: NameFull: Rousset, Pascal – PersonEntity: Name: NameFull: Manganaro, Lucia – PersonEntity: Name: NameFull: Avesani, Giacomo – PersonEntity: Name: NameFull: Bazot, Marc – PersonEntity: Name: NameFull: Cunha, Teresa Margarida – PersonEntity: Name: NameFull: Franco, Paolo Niccolò – PersonEntity: Name: NameFull: Freeman, Sue – PersonEntity: Name: NameFull: Forstner, Rosemarie – PersonEntity: Name: NameFull: Gui, Benedetta – PersonEntity: Name: NameFull: Kermarrec, Edith – PersonEntity: Name: NameFull: Rizzo, Stefania – PersonEntity: Name: NameFull: Sahin, Hilal – PersonEntity: Name: NameFull: Mansournia, Shiwa – PersonEntity: Name: NameFull: Villalba, Laura Buñesch IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 35 – Type: issue Value: 11 Titles: – TitleFull: European Radiology Type: main |
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