The Endometriotic Neoplasm Algorithm for Risk Assessment (e-NARA) Index Sheds Light on the Discrimination of Endometriosis-Associated Ovarian Cancer from Ovarian Endometrioma.

Kawahara, Naoki; Kawaguchi, Ryuji; Maehana, Tomoka; Yamanaka, Shoichiro; Yamada, Yuki; Kobayashi, Hiroshi; Kimura, Fuminori

Kawahara, Naoki; Kawaguchi, Ryuji; Maehana, Tomoka; Yamanaka, Shoichiro; Yamada, Yuki; Kobayashi, Hiroshi; Kimura, Fuminori.

Afiliación

Kawahara N; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.
Kawaguchi R; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.
Maehana T; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.
Yamanaka S; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.
Yamada Y; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.
Kobayashi H; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.
Kimura F; Department of Obstetrics and Gynecology, Nara Medical University, Kashihara 634-8522, Japan.

Biomedicines ; 10(11)2022 Oct 24.

Article en En | MEDLINE | ID: mdl-36359203

Palabras clave

MR relaxometry; endometriosis-associated ovarian cancer; magnetic resonance imaging; ovarian endometrioma; the R2 value; the endometriotic neoplasm algorithm for risk assessment (e-NARA) index

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomedicines Año: 2022 Tipo del documento: Article País de afiliación: Japón

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