Advertisement

Abdominal Radiology

, Volume 44, Issue 10, pp 3377–3387 | Cite as

Comparison of MR imaging features of uterine neuroendocrine carcinoma and uterine malignant lymphoma

  • Michiko SugimotoEmail author
  • Koichi Koyama
  • Tomoyuki Ichimura
  • Taro Shimono
  • Yasunori Hashiguchi
  • Yukio Miki
Pelvis

Abstract

Purpose

We retrospectively investigated the characteristic magnetic resonance (MR) imaging findings of uterine neuroendocrine carcinoma (UNEC) compared to those of uterine malignant lymphoma (UML).

Methods

Nine consecutive female patients with UNEC and 5 female patients with UML participated in this study. MR imaging features were evaluated retrospectively.

Results

On MR imaging, seven of 9 UNEC lesions and no UML lesions showed an exophytic growth pattern. All 9 UNEC lesions and no UML lesions showed a growth pattern along the surface of the endocervix or endometrium. Only 1 UNEC lesion and all 5 UML lesions showed diffuse enlargement of the uterus. No UNEC lesions and all 5 UML lesions showed a multinodular shape. These findings showed significant differences between lesions. Findings for margin, endophytic growth pattern, signal intensity, and homogeneity on T2-weighted and T1-weighted imaging did not differ significantly between lesion types. Apparent diffusion coefficient was significantly lower for UML lesions than for UNEC lesions, but was quite low for both types. Local invasion to surrounding tissues was more frequent in UML lesions than in UNEC lesions. There was no significant difference in the frequency of lymphadenopathy between two entities.

Conclusions

UNEC lesions tended to show an exophytic growth pattern and growth along the surface of the endocervix or endometrium, even when diffuse enlargement of the uterus was present, while all UML lesions showed a multinodular shape and diffuse enlargement of the uterus without thickening of the cervical epithelium and endometrium.

Keywords

Uterine neuroendocrine carcinoma Uterine malignant lymphoma Magnetic resonance imaging Diffusion-weighted imaging Apparent diffusion coefficient 

Notes

Acknowledgements

The authors thank Dr. Shinichi Hamamoto and Dr. Daiju Ueda for their assistance with the production of figures and statistical analysis of data.

Funding

No funding was received for this study.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This study was approved by the ethics board of our institution (Approval No. 4177), and the requirement to obtain informed consent was waived because of the retrospective design.

References

  1. 1.
    Margolis B, Tergas AI, Chen L, et al (2016) Natural history and outcome of neuroendocrine carcinoma of the cervix. Gynecol Oncol 141(2):247-254CrossRefGoogle Scholar
  2. 2.
    Makihara N, Maeda T, Nishimura M, et al (2012) Large cell neuroendocrine carcinoma originating from the uterine endometrium: a report on magnetic resonance features of 2 cases with very rare and aggressive tumor. Rare Tumors 4(3):e37CrossRefGoogle Scholar
  3. 3.
    Tempfer CB, Tischoff I, Dogan A, Hilal Z, Schultheis B, Kern P, Rezniczek GA (2018) Neuroendocrine carcinoma of the cervix: a systematic review of the literature. BMC Cancer 18(1):530CrossRefGoogle Scholar
  4. 4.
    Howitt BE, Kelly P, McCluggage WG (2017) Pathology of neuroendocrine tumours of the female genital tract. Curr Oncol Rep 19(9):59CrossRefGoogle Scholar
  5. 5.
    Dongol S, Tai Y, Shao Y, Jiang J, Kong B (2014) A retrospective clinicopathological analysis of small-cell carcinoma of the uterine cervix. Mol Clin Oncol 2(1):71-75CrossRefGoogle Scholar
  6. 6.
    Elsherif S, Odisio EGLC, Faria S, et al (2018) Imaging and staging of neuroendocrine cervical cancer. Abdom Radiol 43(12):3468-3478CrossRefGoogle Scholar
  7. 7.
    Duan X, Ban X, Zhang X, et al (2016) MR imaging features and staging of neuroendocrine carcinomas of the uterine cervix with pathological correlations. Eur Radiol 26(12):4293–4302CrossRefGoogle Scholar
  8. 8.
    Yang DH, Kim JK, Kim KW, Bae SJ, Kim KH, Cho KS (2004) MRI of small cell carcinoma of the uterine cervix with pathologic correlation. AJR Am J Roentgenol 182(5):1255-1258CrossRefGoogle Scholar
  9. 9.
    Tamai K, Koyama T, Saga T, Mikami Y, Fujii S, Togashi K (2007) Small cell carcinoma of the uterine corpus: MR imaging and pathological correlation. J Comput Assist Tomogr 31(3):485-489CrossRefGoogle Scholar
  10. 10.
    Tang QL, Liu J, Zuo L, Chi C, Dong HY, Jiang XX, Jiang XF (2017) Bilateral blindness with secondary retinitis pigmentosa following postoperative docetaxel and platinum combination chemotherapy in primary small-cell carcinoma of the endometrium: An unusual case report and review of the literature. Mol Clin Oncol 6(4):477-482CrossRefGoogle Scholar
  11. 11.
    Ogura J, Adachi Y, Yasumoto K, et al (2018) Large-cell neuroendocrine carcinoma arising in the endometrium: A case report. Mol Clin Oncol 8(4):575-578Google Scholar
  12. 12.
    Nguyen ML, Han L, Minors AM, Bentley-Hibbert S, Pradhan TS, Pua TL, Tedjarati SS (2013) Rare large cell neuroendocrine tumor of the endometrium: A case report and review of the literature. Int J Surg Case Rep 4(8):651-655CrossRefGoogle Scholar
  13. 13.
    Yamamoto T, Maeda M, Mori M, Itch H (2000) MR imaging of small cell carcinoma of the uterus with associated inappropriate secretion of antidiuretic hormone. AJR Am J Roentgenol 174(4):1167-1168CrossRefGoogle Scholar
  14. 14.
    Sekine A, Satoh M, Okudela K, et al (2018) Miliary lung metastases from genital large cell neuroendocrine carcinomas. Intern Med 58(8):1127-1130CrossRefGoogle Scholar
  15. 15.
    Kido A, Togashi K, Koyama T, Yamaoka T, Fujiwara T, Fujii S (2003) Diffusely enlarged uterus: evaluation with MR imaging. Radiographics 23(6):1423-1439CrossRefGoogle Scholar
  16. 16.
    Goto N, Oishi-Tanaka Y, Tsunoda H, Yoshikawa H, Minami M (2007) Magnetic resonance findings of primary uterine malignant lymphoma. Magn Reson Med Sci 6(1):7-13CrossRefGoogle Scholar
  17. 17.
    Suzuki Y, Tamaki Y, Hasegawa M, Maebayashi K, Mitsuhashi N (2000) Magnetic resonance images of primary malignant lymphoma of the uterine body: a case report. Jpn J Clin Oncol 30(11):519-521CrossRefGoogle Scholar
  18. 18.
    Takeuchi M, Matsuzaki K, Nishitani H (2009) Hyperintense uterine myometrial masses on T2-weighterd magnetic resonance imaging: differentiation with diffusion-weighted magnetic resonance imaging. J Comput Assist Tomogr 33(6):834-837CrossRefGoogle Scholar
  19. 19.
    Kawamura N, Ichimura T, Ito F, et al (2002) Transcervical needle biopsy for the differential diagnosis between uterine sarcoma and leiomyoma. Cancer 94(6):1713-1720CrossRefGoogle Scholar
  20. 20.
    Kanda Y (2013) Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant 48(3):452-458CrossRefGoogle Scholar
  21. 21.
    Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174CrossRefGoogle Scholar
  22. 22.
    Harris NL, Scully RE (1984) Malignant lymphoma and granulocytic sarcoma of the uterus and vagina. A clinicopathologic analysis of 27 cases. Cancer 53(11):2530-2545Google Scholar
  23. 23.
    Mandato VD, Palermo R, Falbo A, et al (2014) Primary diffuse large B-cell lymphoma of the uterus: case report and review. Anticancer Res 34(8):4377-4390Google Scholar
  24. 24.
    Frazier SR, Kaplan PA, Loy TS (2007) The pathology of extrapulmonary small cell carcinoma. Semin Oncol 34(1):30-38CrossRefGoogle Scholar
  25. 25.
    Yang G, Deisch J, Tavares M, Haixia Q, Cobb C, Raza AS (2017) Primary B-cell lymphoma of the uterine cervix: presentation in Pap-test slide and cervical biopsy. Diagn Cytopathol 45(3):235-238CrossRefGoogle Scholar
  26. 26.
    Park JY, Kim DY, Kim JH, Kim YM, Kim YT, Nam JH (2010) Outcomes after radical hysterectomy in patients with early-stage adenocarcinoma of uterine cervix. Br J Cancer 102(12):1692-1698CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Diagnostic and Interventional RadiologyOsaka City University Graduate School of MedicineOsakaJapan
  2. 2.Department of Obstetrics and GynecologyOsaka City University Graduate School of MedicineOsakaJapan

Personalised recommendations