Reasons why it is time to change imaging guidelines on endometriosis.
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| Title: | Reasons why it is time to change imaging guidelines on endometriosis. |
|---|---|
| Authors: | Thomassin-Naggara, Isabelle1,2 (AUTHOR) Isabelle.thomassin@aphp.fr, Rousset, Pascal3 (AUTHOR), Touboul, Cyril2,4 (AUTHOR), Razakamanantsoa, Leo1,2 (AUTHOR), Manganaro, Lucia5 (AUTHOR) |
| Source: | European Radiology. Sep2024, Vol. 34 Issue 9, p6175-6181. 7p. |
| Subjects: | Transvaginal ultrasonography, Image recognition (Computer vision), Magnetic resonance imaging, Laparoscopic surgery, Endometriosis |
| Abstract: | In light of the rising number of patients referred for magnetic resonance imaging (MRI) due to suspected endometriosis and the high expectations of these patients, there is a need for new imaging guidelines to optimally protocol and indicate MRI and transvaginal ultrasonography (TVUS) examinations. This is crucial for accurately addressing the inquiries of gynecologists, encompassing complete mapping and preoperative staging, and facilitating effective communication with patients. In this context, the development of a standardized lexicon, as well as dedicated imaging classifications, is recommended to aid in the comprehensive management of patients. Clinical relevance statement: The radiologist should use a standardized lexicon and provide a score along with details about the specific compartments affected by endometriosis disease. This helps in offering clearer guidance to the surgeon. Key Points: • An optimal staging is based on the combination of clinical examination, transvaginal US, and MRI. • MRI is able to detect location that is hidden at the beginning of a laparoscopic surgery and thus the need for dedicated MR classifications to correctly stage the disease. • Deep pelvic endometriosis index (dPEI) classification is externally validated and highly correlated with operating time, hospital stay, and postoperative complications. [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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 179357808 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Reasons why it is time to change imaging guidelines on endometriosis. – 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="%22Rousset%2C+Pascal%22">Rousset, Pascal</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Touboul%2C+Cyril%22">Touboul, Cyril</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Razakamanantsoa%2C+Leo%22">Razakamanantsoa, Leo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Manganaro%2C+Lucia%22">Manganaro, Lucia</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Sep2024, Vol. 34 Issue 9, p6175-6181. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Transvaginal+ultrasonography%22">Transvaginal ultrasonography</searchLink><br /><searchLink fieldCode="DE" term="%22Image+recognition+%28Computer+vision%29%22">Image recognition (Computer vision)</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Laparoscopic+surgery%22">Laparoscopic surgery</searchLink><br /><searchLink fieldCode="DE" term="%22Endometriosis%22">Endometriosis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In light of the rising number of patients referred for magnetic resonance imaging (MRI) due to suspected endometriosis and the high expectations of these patients, there is a need for new imaging guidelines to optimally protocol and indicate MRI and transvaginal ultrasonography (TVUS) examinations. This is crucial for accurately addressing the inquiries of gynecologists, encompassing complete mapping and preoperative staging, and facilitating effective communication with patients. In this context, the development of a standardized lexicon, as well as dedicated imaging classifications, is recommended to aid in the comprehensive management of patients. Clinical relevance statement: The radiologist should use a standardized lexicon and provide a score along with details about the specific compartments affected by endometriosis disease. This helps in offering clearer guidance to the surgeon. Key Points: • An optimal staging is based on the combination of clinical examination, transvaginal US, and MRI. • MRI is able to detect location that is hidden at the beginning of a laparoscopic surgery and thus the need for dedicated MR classifications to correctly stage the disease. • Deep pelvic endometriosis index (dPEI) classification is externally validated and highly correlated with operating time, hospital stay, and postoperative complications. [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/s00330-024-10595-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 6175 Subjects: – SubjectFull: Transvaginal ultrasonography Type: general – SubjectFull: Image recognition (Computer vision) Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Laparoscopic surgery Type: general – SubjectFull: Endometriosis Type: general Titles: – TitleFull: Reasons why it is time to change imaging guidelines on endometriosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thomassin-Naggara, Isabelle – PersonEntity: Name: NameFull: Rousset, Pascal – PersonEntity: Name: NameFull: Touboul, Cyril – PersonEntity: Name: NameFull: Razakamanantsoa, Leo – PersonEntity: Name: NameFull: Manganaro, Lucia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 34 – Type: issue Value: 9 Titles: – TitleFull: European Radiology Type: main |
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