Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour

Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background... Objectives To retrospectively investigate whether the lesion-to-background parenchymal signal enhancement ratio (SER) on breast MRI can distinguish pathological complete response (pCR) from minimal residual cancer following neoadjuvant chemo- therapy (NAT), and compare its performance with the conventional criterion. Methods 216 breast cancer patients who had undergone NAT and MRI and achieved pCR or minimal residual cancer on surgical histopathology were included. Clinical-pathological features, SER and lesion size on MR images were analysed. Multivariate logistic regression, ROC curve and McNemar’stest were performed. Results SER on early-phase MR images was independently associated with pCR (odds ratio [OR], 0.286 [95% CI: 0.113–0.725], p = .008 for Reader 1; OR, 0.306 [95% CI: 0.111–0.841], p = .022 for Reader 2). Compared with the conventional criterion, SER ≤1.6 increased AUC (0.585–0.599 vs. 0.709–0.771, p=.001-.033) and specificity (21.9–27.4% vs. 80.8–86.3%, p <.001) in identifying pCR. SER ≤1.6 and/or size ≤0.2 cm criterion showed the highest specificity of 90.4%. Conclusion SER on early-phase MR images was independently associated with pCR, and showed improved AUC and specificity compared to the conventional criterion. The combined criterion of SER and size could be used to select candidates to avoid surgery in a future study. Key points � Compared with http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Radiology Springer Journals

Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour

Loading next page...
 
/lp/springer_journal/contrast-enhanced-mri-after-neoadjuvant-chemotherapy-of-breast-cancer-LZuOT95CZw
Publisher
Springer Journals
Copyright
Copyright © 2018 by European Society of Radiology
Subject
Medicine & Public Health; Imaging / Radiology; Diagnostic Radiology; Interventional Radiology; Neuroradiology; Ultrasound; Internal Medicine
ISSN
0938-7994
eISSN
1432-1084
D.O.I.
10.1007/s00330-017-5251-8
Publisher site
See Article on Publisher Site

Abstract

Objectives To retrospectively investigate whether the lesion-to-background parenchymal signal enhancement ratio (SER) on breast MRI can distinguish pathological complete response (pCR) from minimal residual cancer following neoadjuvant chemo- therapy (NAT), and compare its performance with the conventional criterion. Methods 216 breast cancer patients who had undergone NAT and MRI and achieved pCR or minimal residual cancer on surgical histopathology were included. Clinical-pathological features, SER and lesion size on MR images were analysed. Multivariate logistic regression, ROC curve and McNemar’stest were performed. Results SER on early-phase MR images was independently associated with pCR (odds ratio [OR], 0.286 [95% CI: 0.113–0.725], p = .008 for Reader 1; OR, 0.306 [95% CI: 0.111–0.841], p = .022 for Reader 2). Compared with the conventional criterion, SER ≤1.6 increased AUC (0.585–0.599 vs. 0.709–0.771, p=.001-.033) and specificity (21.9–27.4% vs. 80.8–86.3%, p <.001) in identifying pCR. SER ≤1.6 and/or size ≤0.2 cm criterion showed the highest specificity of 90.4%. Conclusion SER on early-phase MR images was independently associated with pCR, and showed improved AUC and specificity compared to the conventional criterion. The combined criterion of SER and size could be used to select candidates to avoid surgery in a future study. Key points � Compared with

Journal

European RadiologySpringer Journals

Published: Jan 29, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off