Annals of Surgical Oncology

, Volume 23, Issue 4, pp 1271–1278 | Cite as

Diagnostic Performance of Computed Tomography for Preoperative Staging of Patients with Non-endometrioid Carcinomas of the Uterine Corpus

  • Yulia LakhmanEmail author
  • Seth S. Katz
  • Debra A. Goldman
  • Derya Yakar
  • Hebert A. Vargas
  • Ramon E. Sosa
  • Maura Miccò
  • Robert A. Soslow
  • Hedvig Hricak
  • Nadeem R. Abu-Rustum
  • Evis Sala
Gynecologic Oncology



The aim of this study was to assess the diagnostic performance of computed tomography (CT) for initial staging of non-endometrioid carcinomas of the uterine corpus.

Materials and Methods

Waiving informed consent, the Institutional Review Board approved this Health Insurance Portability and Accountability Act (HIPAA)-compliant retrospective study of 193 women with uterine papillary serous carcinomas, clear cell carcinomas, and carcinosarcomas, who underwent surgical staging between May 1998 and December 2011 and had preoperative CT within 6 weeks before surgery. Two radiologists (R1, R2) independently reviewed all CT images. Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and area under the curve were calculated using operative notes and surgical pathology as the reference standard.


The respective sensitivities and specificities achieved by R1/R2 were 0.79/0.64 and 0.87/0.75 for detecting deep myometrial invasion (MI) on CT; 0.56/0.63 and 0.93/0.79 for detecting cervical stromal invasion; 0.52/0.45 and 0.95/0.93 for detecting pelvic nodal metastases; and 0.45/0.30 and 0.98/0.98 for detecting para-aortic nodal metastases. Although CT had suboptimal sensitivity for the detection of omental disease, it had high PPV for omental seeding at surgical exploration (1.00 for R1 and 0.92 for R2). Inter-observer agreement ranged from moderate in the detection of deep MI (κ = 0.42 ± 0.06) to almost perfect in the detection of para-aortic nodal metastases (κ = 0.88 ± 0.08).


In patients with uterine non-endometrioid carcinomas, CT is only moderately accurate for initial staging but may provide clinically valuable information by ‘ruling-in’ isolated para-aortic lymph node metastases and omental dissemination.


Endometrial Cancer Positive Predictive Value National Comprehensive Cancer Network Preoperative Compute Tomography Myometrial Invasion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors thank Ada Muellner, MS, for her editorial assistance.


Yulia Lakhman, Seth S. Katz, Debra A. Goldman, Derya Yakar, Hebert A. Vargas, Ramon E. Sosa, Maura Miccò, Robert A. Soslow, Hedvig Hricak, Nadeem R. Abu-Rustum, and Evis Sala have no conflicts of interest to disclose.


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Copyright information

© Society of Surgical Oncology 2015

Authors and Affiliations

  • Yulia Lakhman
    • 1
    Email author
  • Seth S. Katz
    • 1
  • Debra A. Goldman
    • 2
  • Derya Yakar
    • 1
    • 3
  • Hebert A. Vargas
    • 1
  • Ramon E. Sosa
    • 1
  • Maura Miccò
    • 1
    • 4
  • Robert A. Soslow
    • 5
  • Hedvig Hricak
    • 1
  • Nadeem R. Abu-Rustum
    • 6
  • Evis Sala
    • 1
  1. 1.Department of RadiologyMemorial Sloan Kettering Cancer CenterNew YorkUSA
  2. 2.Department of Epidemiology and BiostatisticsMemorial Sloan Kettering Cancer CenterNew YorkUSA
  3. 3.Department of RadiologyRadboud University Nijmegen Medical CenterNijmegenThe Netherlands
  4. 4.Department of Bioimaging and Radiological ScienceCatholic University “A. Gemelli” HospitalRomeItaly
  5. 5.Department of PathologyMemorial Sloan Kettering Cancer CenterNew YorkUSA
  6. 6.Gynecologic Service, Department of SurgeryMemorial Sloan Kettering Cancer CenterNew YorkUSA

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