Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

E-Poster Display

272TiP - Dual-layer spectral detector CT: Clinical performance in patients with locally advanced breast cancer treated neoadjuvant with aromatase inhibitors

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Breast Cancer

Presenters

Joana Reis

Citation

Annals of Oncology (2020) 31 (suppl_4): S340-S347. 10.1016/annonc/annonc260

Authors

J. Reis1, C.H. Kristiansen1, J. Boavida1, J.C. Lindstrøm2, T. Sauer3, J. Geisler4, J.T. Geitung1

Author affiliations

  • 1 Department Of Diagnostic Imaging And Intervention, Akershus University Hospital, 1478 - Lørenskog/NO
  • 2 Health Services Research Unit, Akershus University Hospital, 1478 - Lørenskog/NO
  • 3 Department Of Pathology, Akershus University Hospital, 1478 - Lørenskog/NO
  • 4 Department Of Oncology, Akershus University Hospital, 1478 - Lørenskog/NO

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 272TiP

Background

Current imaging diagnostic assessments of locally advanced breast cancer before and during neoadjuvant therapy are of variable precision and limited reliability. Dual-layer spectral detector computed tomography (SDCT) of the breast is a novel and feasible imaging modality with high spatial and temporal resolution which improves lesion conspicuity and characterization. The potential clinical indications are vast, including patients with absolute MRI contraindications, extent of disease evaluation for surgical and radiotherapy planning and monitoring tumour response. SDCT has the potential to improve diagnostic performance and to allow quantitative comparisons of the intra-tumour effects of aromatase inhibitors with clinical and pathological evaluations. The aim of this study is to advocate the feasibility of SDCT scanning. The research hypothesis is that SDCT could have equal value compared to MRI, as a tool for extent of disease evaluation, characterization of the malignant lesion, and monitoring of therapeutic effects in patients with MRI contraindications.

Trial design

Prospective analysis of 40 postmenopausal patients with biopsy-proven locally advanced breast cancer suitable for neoadjuvant endocrine therapy have been eligible for this sub-study of the Neoletexe trial. Tumours will be scanned prior to and after four months of therapy. A specific table pad was designed for prone positioning. Dynamic breast imaging from the lung apex to lung basis are obtained with the following scan parameters: dose right index: 8, tube voltage: 120 kVp, tube current: 118 mA, slice thickness: 0,9 mm, slice increment: 0,45 mm, and monoenergetic level of 40 KeV automatically reconstructed. SDCT involves a four-phase breast CT scan prior to and after intravenous injection of contrast media (35, 90, and 360 seconds). The tumour staging based on TNM system will be compared with clinical and pathologic results for diagnostic accuracy. This substudy has been open for patient enrolment since December 2019 at the Akershus University Hospital, Norway. Accrual is planned to be completed by December 2021.

Clinical trial identification

Neoletexe trial 2015/84, obtained from Regional committees for medical and health research ethics, Norway, data: March 19th, 2015.

Editorial acknowledgement

Legal entity responsible for the study

Akershus University Hospital.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.