Evidence map›Paper›PMID 38856767›Full record

ArticleAbdominal radiology (New York)2024

MRI features of ovarian teratomas with somatic-type malignancy and mature cystic teratomas.

Takahiko Nakazono, Yutaka Yoshinaga, Ken Yamaguchi, Masatoshi Yokoyama, Keita Kai, Shuichi Fukui, Ryoko Egashira, Kanto Ichinohe, Shigeru Nagaoka, Hiroyuki Irie

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Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Takahiko NakazonoDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan. nakazot@cc.saga-u.ac.jp.ORCID 0000-0001-7456-4835
Yutaka YoshinagaDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan.
Ken YamaguchiDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan.
Masatoshi YokoyamaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Saga University, Saga, Japan.
Keita KaiDepartment of Pathology, Saga University Hospital, Saga, Japan.
Shuichi FukuiDepartment of Radiology, Takagi Hospital, Fukuoka, Japan.
Ryoko EgashiraDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan.
Kanto IchinoheDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan.
Shigeru NagaokaDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan.
Hiroyuki IrieDepartment of Radiology, Faculty of Medicine, Saga University, Nabeshima 5-1-1, Saga City, Saga, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the magnetic resonance imaging (MRI) features of ovarian teratomas with somatic-type malignancy (TSMs) and benign ovarian mature cystic teratomas (MCTs) to determine the diagnostic contribution of the MRI findings for differentiating these two teratomas.

methodsWe compared the MRI findings between ovarian TSMs (n = 10) and MCTs (n = 193), and we conducted a receiver operating characteristic (ROC) analysis to determine the MRI findings' contribution to the differentiation of TSMs from MCTs.

resultsThe maximum diameters of whole lesion and the largest solid component in the TSMs were larger than those of the MCTs (p = 0.0001 and p < 0.0001, respectively). Fat tissue in solid components was seen in 73/116 (62.9%) MCTs but in none of the TSMs (p = 0.0001). Ring-like enhancement in solid components was seen in 60/116 (51.7%) MCTs and none of the TSMs (p = 0.0031). On dynamic contrast-enhanced MRI (DCE MRI), all of the solid components in the TSMs showed a high- or intermediate-risk time intensity curve (TIC), and those in 113 of the 116 (97.4%) MCTs showed a low-risk TIC (p < 0.0001). The area under the curve of the ROC analysis using the high-/intermediate-risk TIC on DCE MRI was the highest (0.99) for differentiating TSMs from MCTs: sensitivity 100%, specificity 97.4%, positive predictive value 75.0%, negative predictive value 100%, and accuracy, 97.6%.

conclusionCompared to ovarian MCTs, ovarian TSMs are larger and have larger solid components with high- or intermediate-risk TICs on DCE MRI. Ovarian MCTs frequently show small solid components with fat tissue, ring-like enhancement, and a low-risk TIC on DCE MRI.

Indexed as

Magnetic Resonance ImagingOvarian NeoplasmsTeratomaAdolescentAdultAgedContrast MediaDiagnosis, DifferentialFemaleHumansMiddle AgedOvaryRetrospective StudiesSensitivity and SpecificityContrast MediaMagnetic resonance imagingMalignant transformationSomatic-type malignancyTeratoma

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.