Share Email Print

Proceedings Paper

Improved selection of cortical ovarian strips for autotransplantation of ovarian tissue using full-field optical coherence tomography (FFOCT)
Author(s): Paulien L. Stegehuis; Inge T. A. Peters; Jeroen Eggermont; Peter J. K. Kuppen; J. Baptist Trimbos; Boudewijn P. F. Lelieveldt; Cornelis J. H. van de Velde; Tjalling Bosse; Jouke Dijkstra; Alexander L. Vahrmeijer
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Premature ovarian failure is a major concern in women of reproductive age who undergo gonadotoxic cancer treatment. Autotransplantation of frozen-thawed cortical ovarian tissue allows the immediate start of cancer treatment, but risks reintroduction of cancer. Current tumor detection methods compromise the ovarian tissue’s viability and can therefore only be used to exclude the presence of metastases in the cortical ovarian strips that are not transplanted. A non-invasive method is needed that can be used to exclude metastases in the actual ovarian autografts without affecting the tissue’s viability. In this study we applied FFOCT – a non-fixative technique that uses white light interferometry to make highresolution images (1μm isotropic) of fresh tissue – to study healthy and malignant ovarian tissue. We created an image atlas of healthy ovarian tissues from premenopausal patients and ovarian tissues with breast cancer metastases. To get the best possible match between hematoxylin-and-eosin stained slides and FFOCT images formalinfixed paraffin-embedded tissue samples were deparaffinized and FFOCT images were acquired within a few minutes. FFOCT images were compared with histology images. All normal structures such as follicles in all phases, inclusion cysts, blood vessels, corpora lutea, and corpora albicantia were clearly recognizable. Ovarian metastases could be well distinguished from normal ovarian tissue. FFOCT is a promising technique in the field of fertility preservation: metastases can be detected and additionally cortical ovarian strips can be selected on the basis of high follicle density.

Paper Details

Date Published: 29 February 2016
PDF: 6 pages
Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 96893Q (29 February 2016); doi: 10.1117/12.2209076
Show Author Affiliations
Paulien L. Stegehuis, Leiden Univ. Medical Ctr. (Netherlands)
Inge T. A. Peters, Leiden Univ. Medical Ctr. (Netherlands)
Jeroen Eggermont, Leiden Univ. Medical Ctr. (Netherlands)
Peter J. K. Kuppen, Leiden Univ. Medical Ctr. (Netherlands)
J. Baptist Trimbos, Leiden Univ. Medical Ctr. (Netherlands)
Boudewijn P. F. Lelieveldt, Leiden Univ. Medical Ctr. (Netherlands)
Cornelis J. H. van de Velde, Leiden Univ. Medical Ctr. (Netherlands)
Tjalling Bosse, Leiden Univ. Medical Ctr. (Netherlands)
Jouke Dijkstra, Leiden Univ. Medical Ctr. (Netherlands)
Alexander L. Vahrmeijer, Leiden Univ. Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 9689:
Photonic Therapeutics and Diagnostics XII
Hyun Wook Kang; Guillermo J. Tearney; Melissa C. Skala; Bernard Choi; Andreas Mandelis; Brian J. F. Wong; Justus F. Ilgner; Nikiforos Kollias; Paul J. Campagnola; Kenton W. Gregory; Laura Marcu; Haishan Zeng, Editor(s)

© SPIE. Terms of Use
Back to Top