Microcystic pattern and shadowing are independent predictors of ovarian borderline tumors and cystadenofibromas in ultrasound.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 27 02 2020
accepted: 24 07 2020
revised: 06 05 2020
pubmed: 12 8 2020
medline: 15 4 2021
entrez: 12 8 2020
Statut: ppublish

Résumé

To determine the sonographic characteristics of borderline tumors (BoTs) and cystadenofibromas (CAFs). Preoperative sonograms from consecutive patients who had at least one primary epithelial tumor in the adnexa were retrospectively collected. All tumors were described using the International Ovarian Tumor Analysis terminology. Ultrasound variables were tested using multinomial logistic regression after univariate analysis. A total of 650 patients were included in this study. Of these, 110 had a CAF, 128 had a BoT, 249 had a cystadenoma (CAD), and 163 had a cystadenocarcinoma (CAC). Nearly half of CAFs and more than half of BoTs and CACs appeared to be unilocular and multilocular solid on the ultrasound images, while CADs were predominantly uni- or multilocular (p < 0.001). Overall, shadowing was identified in 82/650 cases. Sixty-five of 110 (59.1%) CAFs exhibited an acoustic shadow, compared with only 4/249 (1.6%) in CADs, 7/128 (5.5%) in BoTs, and 6/163 (3.7%) in CACs (p < 0.001). Furthermore, 112/650 cases demonstrated microcystic pattern (MCP). Sixty-eight of 128 (53.1%) BoTs exhibited MCP, compared with only 5/249 (2.0%) in CADs, 19/163 (11.7%) in CACs, and 20/110 (18.2%) in CAFs (p < 0.001). Logistic regression analysis revealed that shadowing is an independent predictor of CAFs, while MCP is an independent predictor of BoTs. Sonographic findings for CAFs and BoTs were complex and partly overlapped with those for CACs. However, proper recognition and utilization of shadowing or MCP may help to correctly discriminate CAFs and BoTs. • Sonographic findings for borderline tumors and cystadenofibromas are complex and mimic malignancy. • Microcystic pattern and shadowing are independent predictors of borderline tumors and cystadenofibromas respectively.

Identifiants

pubmed: 32780208
doi: 10.1007/s00330-020-07113-z
pii: 10.1007/s00330-020-07113-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

45-54

Références

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Auteurs

Xinying Zheng (X)

Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.
Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.

Guorong Lyu (G)

Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China. lgr_feus@sina.com.
Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China. lgr_feus@sina.com.

Yaduan Gan (Y)

Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.
Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.

Maiguo Hu (M)

Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.
Department of Ultrasound, Xiamen Maternal and Child Health Care Hospital, Xiamen, Fujian, China.

Xianlan Liu (X)

Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.
Department of Ultrasound, the First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China.

Shuqiang Chen (S)

Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.
Department of Ultrasound, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.

Xiuming Wu (X)

Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.
Department of Ultrasound, the Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.

Wenmin Yang (W)

Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.
Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.

Fengying Ye (F)

Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.
Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.

Xiaobin Yan (X)

Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.
Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.

Ying Zhang (Y)

Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.
Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.

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