How to Handle Lymphadenectomy Specimens to Identify Metastasis More Accurately in Gynecologic Pathology


Comert G. K., Dincer N., USUBÜTÜN A.

INTERNATIONAL JOURNAL OF SURGICAL PATHOLOGY, cilt.27, sa.3, ss.244-250, 2019 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 3
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1177/1066896918802032
  • Dergi Adı: INTERNATIONAL JOURNAL OF SURGICAL PATHOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.244-250
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Aim. To identify the value of processing multiple sections to detect metastasis in lymph nodes (LNs) dissected during gynecologic cancer surgery, and to evaluate the sizes of metastatic LNs in each region to compare with the largest one. Materials and Methods. This retrospective study included 362 patients who had gynecologic cancer with at least one metastatic LN. Slides of 627 metastatic LN specimens were categorized according to the processing technique into single and more than one section (MOS) groups. In the MOS group, the LNs were cut into 2 or 3 parallel slices because their greatest dimensions exceeded 0.5 cm. Sizes of LN metastatic foci (MF) were measured and defined as follows: MF <= 2 mm as micrometastasis and MF >2 mm as macrometastasis. The largest LN diameters among the metastatic LNs and the largest LNs in those regions were measured. Groups were compared using the Kruskal-Wallis test. Results. Sixty-five (10.3%) of the metastatic LNs included in this study had micrometastases and 40 (6.3%) of them had MF <= 1 mm. The rate of micrometastasis was higher in the MOS group than in the single-section group (11.8% vs 8.5%, respectively). Twenty-eight percent (n = 175) of metastatic LNs were not the largest, and 55.5% of those were less than 1 cm in diameter. Conclusion. Methods of LN processing and macroscopic evaluation are not standardized, and processing single sections from LNs may overlook micrometastases. The detection rate of micrometastases can be improved by processing multiple sections from LNs.