Magnetic resonance imaging findings for discriminating clear cell carcinoma and endometrioid carcinoma of the ovary

被引:25
作者
Morioka, Sachiko [1 ,2 ]
Kawaguchi, Ryuji [1 ]
Yamada, Yuki [1 ]
Iwai, Kana [1 ]
Yoshimoto, Chiharu [1 ]
Kobayashi, Hiroshi [1 ]
机构
[1] Nara Med Univ, Dept Obstet & Gynecol, Shijo Cho 840, Kashihara, Nara 6348522, Japan
[2] Yao Municipal Hosp, Dept Obstet & Gynecol, 1-3-1 Ryuge Cho, Yao, Osaka 5810069, Japan
关键词
Carcinoma; Endometrioid; Endometriosis; Logistic Models; Ascites; Pathology; Surgical; Adenocarcinoma; Clear Cell; Multivariate Analysis; Magnetic Resonance Imaging; DIFFUSION-WEIGHTED MRI; CANCER; EXPRESSION; BENIGN; TUMORS; MASSES; CT;
D O I
10.1186/s13048-019-0497-1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
BackgroundCommon cancerous histological types associated with endometriosis are clear cell carcinoma (CCC) and endometrioid carcinoma (EC). CCC is regarded as an aggressive, chemoresistant histological subtype. Magnetic resonance imaging (MRI) offers some potential advantages to diagnose ovarian tumors compared with ultrasonography or computed tomography. This study aimed to identify MRI features that can be used to differentiate between CCC and EC.MethodsWe searched medical records of patients with ovarian cancers who underwent surgical treatment at Nara Medical University Hospital between January 2008 and September 2018; we identified 98 patients with CCC or EC who had undergone preoperative MRI. Contrasted MRI scans were performed less than 2months before surgery. Patients were excluded from the study if they had no pathology, other pathological subtype of epithelial ovarian cancer, and/or salvage treatment for recurrence and metastatic ovarian cancer at the time of study initiation. Clinically relevant variables that were statistically significant by univariate analysis were selected for subsequent multivariate regression analysis to identify independent factors to distinguish CCC from EC.ResultsMRI of CCC and EC showed a large cystic heterogeneous mixed mass with mural nodules protruding into the cystic space. Univariate logistic regression analysis revealed that the growth pattern (broad-based nodular structures [multifocal/concentric sign] or polypoid structures [focal/eccentric sign]), surface irregularity (a smooth/regular surface or a rough/irregular/lobulated surface), Width of mural nodule, Height-to-Width ratio (HWR), and presence of preoperative ascites were factors that significantly differed between CCC and EC. In the multivariate logistic regression analysis, the growth pattern of the mural nodule (odds ratio [OR]=0.69, 95% confidence interval [CI]: 0.013-0.273, p=0.0004) and the HWR (OR=3.71, 95% CI: 1.128-13.438, p=0.036) were independent predictors to distinguish CCC from EC.ConclusionsIn conclusion, MRI data showed that the growth pattern of mural nodules and the HWR were independent factors that could allow differentiation between CCC and EC. This finding may be helpful to predict patient prognosis before operation.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Clear cell carcinoma of the ovary: evaluation of prognostic parameters based on a clinicopathological analysis of 100 cases
    Bennett, Jennifer A.
    Dong, Fei
    Young, Robert H.
    Oliva, Esther
    HISTOPATHOLOGY, 2015, 66 (06) : 808 - 815
  • [42] Characteristic MRI findings of sarcomatoid renal cell carcinoma dedifferentiated from clear cell renal carcinoma: radiological-pathological correlation
    Takeuchi, Mitsuru
    Urano, Misugi
    Hara, Masaki
    Fujiyoshi, Yukio
    Inagaki, Hiroshi
    Shibamoto, Yuta
    CLINICAL IMAGING, 2013, 37 (05) : 908 - 912
  • [43] Magnetic resonance imaging findings of undifferentiated carcinoma with osteoclast-like giant cells of pancreas
    Yang, Kyung Yoon
    Choi, Joon-Il
    Choi, Moon Hyung
    Park, Michael Yong
    Rha, Sung Eun
    Byun, Jae Young
    Jung, Eun Sun
    Lall, Chandana
    CLINICAL IMAGING, 2016, 40 (01) : 148 - 151
  • [44] Multiparametric magnetic resonance imaging for the differentiation of low and high grade clear cell renal carcinoma
    F. Cornelis
    E. Tricaud
    A. S. Lasserre
    F. Petitpierre
    J. C. Bernhard
    Y. Le Bras
    M. Yacoub
    M. Bouzgarrou
    A. Ravaud
    N. Grenier
    European Radiology, 2015, 25 : 24 - 31
  • [45] Huge Primary Clear Cell Hepatocellular Carcinoma: A Case Report and Review of Radiologic Findings
    Jeon, Junhyeon
    Park, Jinyoung
    Lee, Eunjoo
    Han, Jiyeon
    Kim, Dasom
    Kim, Donghyun
    Park, Jungwon
    Kwag, Minha
    Yun, Suyoung
    Park, Hayoung
    CURRENT MEDICAL IMAGING, 2024, 20
  • [46] Magnetic resonance imaging of bronchioloalveolar carcinoma
    Gaeta, M
    Blandino, A
    Scribano, E
    Vinci, S
    Minutoli, F
    Pergolizzi, S
    Pandolfo, I
    JOURNAL OF THORACIC IMAGING, 2000, 15 (01) : 41 - 47
  • [47] Magnetic resonance imaging of nasopharyngeal carcinoma
    Yu, Eugene
    O'Sullivan, Brian
    Kim, John
    Siu, Lillian
    Bartlett, Eric
    EXPERT REVIEW OF ANTICANCER THERAPY, 2010, 10 (03) : 365 - 375
  • [48] Molecular pathogenesis of endometriosis-associated clear cell carcinoma of the ovary (Review)
    Kobayashi, Hiroshi
    Kajiwara, Hirotaka
    Kanayama, Seiji
    Yamada, Yoshihiko
    Furukawa, Naoto
    Noguchi, Taketoshi
    Haruta, Shoji
    Yoshida, Shozo
    Sakata, Mariko
    Sado, Toshiyuki
    Oi, Hidekazu
    ONCOLOGY REPORTS, 2009, 22 (02) : 233 - 240
  • [49] Imaging the Clear Cell Renal Cell Carcinoma Proteome
    Morgan, Todd M.
    Seeley, Erin H.
    Fadare, Oluwole
    Caprioli, Richard M.
    Clark, Peter E.
    JOURNAL OF UROLOGY, 2013, 189 (03) : 1097 - 1103
  • [50] Magnetic Resonance Imaging Findings Differentiating Cutaneous Basal Cell Carcinoma from Squamous Cell Carcinoma in the Head and Neck Region
    Kawaguchi, Masaya
    Kato, Hiroki
    Tomita, Hiroyuki
    Hara, Akira
    Suzui, Natsuko
    Miyazaki, Tatsuhiko
    Matsuyama, Kanako
    Seishima, Mariko
    Matsuo, Masayuki
    KOREAN JOURNAL OF RADIOLOGY, 2020, 21 (03) : 325 - 331