Structured manual for MRI assessment of deep infiltrating endometriosis using the ENZIAN classification.

Deep infiltrating endometriosis Endometriosis Enzian classification Interobserver agreement MRI endometriosis Interrater agreement MRI endometriosis MRI assessment of deep infiltrating endometriosis

Journal

Archives of gynecology and obstetrics
ISSN: 1432-0711
Titre abrégé: Arch Gynecol Obstet
Pays: Germany
ID NLM: 8710213

Informations de publication

Date de publication:
03 2021
Historique:
received: 28 04 2020
accepted: 07 11 2020
pubmed: 23 11 2020
medline: 1 4 2021
entrez: 22 11 2020
Statut: ppublish

Résumé

Proposal of a systematic approach to assess Deep infiltrating endometriosis (DIE) through pelvic Magnetic resonance imaging (MRI) using the Enzian classification and examination of inter-rater agreement. Three radiologists reviewed 23 MRI of patients with pelvic DIE at one tertiary referral center retrospectively and independently. Inclusion criteria were intraoperative confirmation of DIE and MR imaging according to ESUR (European Society of Urogenital Radiology) guidelines. Assessment of the anatomical pelvic compartments was performed using a manual based on the Enzian classification with step-by-step instructions using recommended planes and sequences presented here. Interrater agreement was measured using kappa statistics. According to the intraoperative site lesions in 53 anatomical compartments were present. Interrater agreement was best for compartments A (0.255) and FB (0.642). For FI (0.204) and B (0.146) it was slight, there was poor agreement for C (- 0.263), FA (- 0.022), and FO (- 0.030), respectively, and as for FU, no ureter infiltration was described. MRI as a noninvasive diagnostic tool offers essential advantages regarding classification and therapy planning for patients with DIE. However, its assessment is difficult and a more systematic approach is needed. Our proposed manual based on the Enzian classification is reproducible and could support radiologists and gynecologists.

Identifiants

pubmed: 33221957
doi: 10.1007/s00404-020-05892-w
pii: 10.1007/s00404-020-05892-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

751-757

Références

Giudice LC, Kao LC (2004) Endometriosis. Lancet 364(9447):1789–1799. https://doi.org/10.1016/S0140-6736(04)17403-5 (PubMed PMID: 15541453)
doi: 10.1016/S0140-6736(04)17403-5 pubmed: 15541453
Buck Louis GM, Hediger ML, Peterson CM, Croughan M, Sundaram R, Stanford J et al (2011) Incidence of endometriosis by study population and diagnostic method: the ENDO study. Fertil Steril 96(2):360–365. https://doi.org/10.1016/j.fertnstert.2011.05.087 ((PubMed PMID: 21719000; PubMed Central PMCID: PMCPMC3143230))
doi: 10.1016/j.fertnstert.2011.05.087 pubmed: 21719000 pmcid: 3143230
Hadfield R, Mardon H, Barlow D, Kennedy S (1996) Delay in the diagnosis of endometriosis: a survey of women from the USA and the UK. Hum Reprod 11(4):878–880 (PubMed PMID: 8671344)
doi: 10.1093/oxfordjournals.humrep.a019270
Nnoaham KE, Hummelshoj L, Webster P, d’Hooghe T, de Cicco NF, de Cicco NC et al (2011) Impact of endometriosis on quality of life and work productivity: a multicenter study across ten countries. Fertil Steril 96(2):366–73.e8. https://doi.org/10.1016/j.fertnstert.2011.05.090 ((PubMed PMID: 21718982; PubMed Central PMCID: PMCPMC3679489))
doi: 10.1016/j.fertnstert.2011.05.090 pubmed: 21718982 pmcid: 3679489
Nisenblat V, Bossuyt PM, Farquhar C, Johnson N, Hull ML (2016) Imaging modalities for the non-invasive diagnosis of endometriosis. Cochrane Database Syst Rev 2:CD009591. https://doi.org/10.1002/14651858.CD009591.pub2 ((PubMed PMID: 26919512))
doi: 10.1002/14651858.CD009591.pub2 pubmed: 26919512
Dunselman GA, Vermeulen N, Becker C, Calhaz-Jorge C, D’Hooghe T, De Bie B et al (2014) ESHRE guideline: management of women with endometriosis. Hum Reprod 29(3):400–412. https://doi.org/10.1093/humrep/det457 ((Epub 2014/01/15, PubMed PMID: 24435778))
doi: 10.1093/humrep/det457 pubmed: 24435778
Di Paola V, Manfredi R, Castelli F, Negrelli R, Mehrabi S, Pozzi MR (2015) Detection and localization of deep endometriosis by means of MRI and correlation with the ENZIAN score. Eur J Radiol 84(4):568–574. https://doi.org/10.1016/j.ejrad.2014.12.017 (PubMed PMID: 25604906)
doi: 10.1016/j.ejrad.2014.12.017 pubmed: 25604906
Burla L, Scheiner D, Samartzis EP, Seidel S, Eberhard M, Fink D et al (2019) The ENZIAN score as a preoperative MRI-based classification instrument for deep infiltrating endometriosis. Arch Gynecol Obstet 300(1):109–116. https://doi.org/10.1007/s00404-019-05157-1 ((Epub 2019/04/12, PubMed PMID: 30980276))
doi: 10.1007/s00404-019-05157-1 pubmed: 30980276
Tuttlies F, Keckstein J, Ulrich U, Possover M, Schweppe KW, Wustlich M et al (2005) ENZIAN-score, a classification of deep infiltrating endometriosis. Zentralbl Gynakol 127(5):275–281. https://doi.org/10.1055/s-2005-836904 (PubMed PMID: 16195969)
doi: 10.1055/s-2005-836904 pubmed: 16195969
Rogers PA, Adamson GD, Al-Jefout M, Becker CM, D’Hooghe TM, Dunselman GA et al (2017) Research Priorities for Endometriosis. Reprod Sci 24(2):202–226. https://doi.org/10.1177/1933719116654991 ((Epub 2016/09/27, PubMed PMID: 27368878))
doi: 10.1177/1933719116654991 pubmed: 27368878
Bazot M, Bharwani N, Huchon C, Kinkel K, Cunha TM, Guerra A et al (2017) European society of urogenital radiology (ESUR) guidelines: MR imaging of pelvic endometriosis. Eur Radiol 27(7):2765–2775. https://doi.org/10.1007/s00330-016-4673-z ((Epub 2016/12/05, PubMed PMID: 27921160; PubMed Central PMCID: PMCPMC5486785))
doi: 10.1007/s00330-016-4673-z pubmed: 27921160
Schneider C, Oehmke F, Tinneberg HR, Krombach GA (2016) MRI technique for the preoperative evaluation of deep infiltrating endometriosis: current status and protocol recommendation. Clin Radiol 71(3):179–194. https://doi.org/10.1016/j.crad.2015.09.014 ((Epub 2015/12/17, PubMed PMID: 26703119))
doi: 10.1016/j.crad.2015.09.014 pubmed: 26703119
Bhayana A, Ghasi RG (2019) MRI evaluation of pelvis in Mayer-Rokitansky-Kuster-Hauser syndrome: interobserver agreement for surgically relevant structures. Br J Radiol. 92(1097):20190045. https://doi.org/10.1259/bjr.20190045 ((Epub 2019/03/15, PubMed PMID: 30864823; PubMed Central PMCID: PMCPMC6580901))
doi: 10.1259/bjr.20190045 pubmed: 30864823 pmcid: 6580901
Mori K, Saida T, Hoshiai S, Shibuya Y, Obata-Yasuoka M, Ishiguro T et al (2020) High prevalence of intrapelvic parasitic arteries in patients with placenta accreta spectrum: a case-control study using unenhanced magnetic resonance angiography. Clin Imaging 63:50–56. https://doi.org/10.1016/j.clinimag.2020.02.013 ((Epub 2020/02/27, PubMed PMID: 32143124))
doi: 10.1016/j.clinimag.2020.02.013 pubmed: 32143124
Balcacer P, Cooper KA, Huber S, Spektor M, Pahade JK, Israel GM (2018) Magnetic resonance imaging features of endometrial polyps: frequency of occurrence and interobserver reliability. J Comput Assist Tomogr 42(5):721–726. https://doi.org/10.1097/RCT.0000000000000765 (PubMed PMID: 29901509)
doi: 10.1097/RCT.0000000000000765 pubmed: 29901509
Jaramillo-Cardoso A, Shenoy-Bhangle A, Garces-Descovich A, Glickman J, King L, Mortele KJ (2019) Pelvic MRI in the diagnosis and staging of pelvic endometriosis: added value of structured reporting and expertise. Abdom Radiol. https://doi.org/10.1007/s00261-019-02199-6 ((Epub 2019/08/29, PubMed PMID: 31468155))
doi: 10.1007/s00261-019-02199-6
Thomassin-Naggara I, Lamrabet S, Crestani A, Bekhouche A, Wahab CA, Kermarrec E et al (2020) Magnetic resonance imaging classification of deep pelvic endometriosis: description and impact on surgical management. Hum Reprod. https://doi.org/10.1093/humrep/deaa103 ((Epub 2020/07/03, PubMed PMID: 32619220))
doi: 10.1093/humrep/deaa103 pubmed: 32619220
Holland TK, Hoo WL, Mavrelos D, Saridogan E, Cutner A, Jurkovic D (2013) Reproducibility of assessment of severity of pelvic endometriosis using transvaginal ultrasound. Ultrasound Obstet Gynecol 41(2):210–215. https://doi.org/10.1002/uog.11216 (PubMed PMID: 22745055)
doi: 10.1002/uog.11216 pubmed: 22745055
Tammaa A, Fritzer N, Lozano P, Krell A, Salzer H, Salama M et al (2015) Interobserver agreement and accuracy of non-invasive diagnosis of endometriosis by transvaginal sonography. Ultrasound Obstet Gynecol 46(6):737–740. https://doi.org/10.1002/uog.14843 (PubMed PMID: 25766661)
doi: 10.1002/uog.14843 pubmed: 25766661
Bean E, Chaggar P, Thanatsis N, Dooley W, Bottomley C, Jurkovic D (2020) Intra- and interobserver reproducibility of pelvic ultrasound for the detection and measurement of endometriotic lesions. Hum Reprod Open. 2020(2):hoaa001. https://doi.org/10.1093/hropen/hoaa001 ((Epub 2020/03/06, PubMed PMID: 32161818; PubMed Central PMCID: PMCPMC7060019))
doi: 10.1093/hropen/hoaa001 pubmed: 32161818 pmcid: 7060019
Piessens S, Healey M, Maher P, Tsaltas J, Rombauts L (2014) Can anyone screen for deep infiltrating endometriosis with transvaginal ultrasound? Aust N Z J Obstet Gynaecol 54(5):462–468. https://doi.org/10.1111/ajo.12242 (PubMed PMID: 25287563)
doi: 10.1111/ajo.12242 pubmed: 25287563
Guerriero S, Pascual MA, Ajossa S, Rodriguez I, Zajicek M, Rolla M et al (2019) Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program. Ultrasound Obstet Gynecol 54(2):262–269. https://doi.org/10.1002/uog.20176 (PubMed PMID: 30426587)
doi: 10.1002/uog.20176 pubmed: 30426587
Tammaa A, Fritzer N, Strunk G, Krell A, Salzer H, Hudelist G (2014) Learning curve for the detection of pouch of Douglas obliteration and deep infiltrating endometriosis of the rectum. Hum Reprod 29(6):1199–1204. https://doi.org/10.1093/humrep/deu078 ((Epub 2014/04/28, PubMed PMID: 24777849))
doi: 10.1093/humrep/deu078 pubmed: 24777849
Fraser MA, Agarwal S, Chen I, Singh SS (2015) Routine vs. expert-guided transvaginal ultrasound in the diagnosis of endometriosis: a retrospective review. Abdom Imaging 40(3):587–594. https://doi.org/10.1007/s00261-014-0243-5 ((PubMed PMID: 25236953; PubMed Central PMCID: PMCPMC4325192))
doi: 10.1007/s00261-014-0243-5 pubmed: 25236953
Saba L, Guerriero S, Sulis R, Pilloni M, Ajossa S, Melis G et al (2011) Learning curve in the detection of ovarian and deep endometriosis by using Magnetic Resonance: comparison with surgical results. Eur J Radiol 79(2):237–244. https://doi.org/10.1016/j.ejrad.2010.01.019 ((Epub 2010/02/19, PubMed PMID: 20171820))
doi: 10.1016/j.ejrad.2010.01.019 pubmed: 20171820

Auteurs

Laurin Burla (L)

Department of Gynecology, University Hospital Zurich, Zurich, Switzerland. laurinburla@hotmail.com.

David Scheiner (D)

Department of Gynecology, University Hospital Zurich, Zurich, Switzerland.

Andreas M Hötker (AM)

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.

Andreas Meier (A)

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.

Daniel Fink (D)

Department of Gynecology, University Hospital Zurich, Zurich, Switzerland.

Andreas Boss (A)

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.

Patrick Imesch (P)

Department of Gynecology, University Hospital Zurich, Zurich, Switzerland.

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