Literature DB >> 12764635

Accuracy of tumor size measurement in breast cancer using MRI is influenced by histological regression induced by neoadjuvant chemotherapy.

K Wasser1, H P Sinn, C Fink, S K Klein, H Junkermann, H P Lüdemann, I Zuna, S Delorme.   

Abstract

The aim of this study was to evaluate whether regressive changes after neoadjuvant chemotherapy for breast cancer affect the accuracy of preoperative MRI measurements of tumor size. Thirty-one patients with breast cancer underwent MRI before and after neoadjuvant treatment. Besides pre- and post-contrast T1-weighted MRI, dynamic MRI with high temporal resolution (turbo-FLASH) was performed. Contrast enhancement in dynamic MRI was quantified using a pharmacokinetic two-compartment model, where two parameters, amplitude and k(ep), were calculated and color coded on transversal parameter maps. Considering the conventional MR images, tumor diameters were measured on the color maps and compared with histological tumor size. Histological regression was scored on a five-point scale regarding cytopathic effects, reactive changes, and tumor cell reduction. The correlation between tumor sizes measured by MRI and histopathology was 0.83 ( p<0.0007) in 12 tumors without regressive changes (score 0), and 0.48 ( p<0.051) in 17 tumors with regressive changes scored 1 or 2, without any tendency for systematic over- or underestimation. In two cases without residual tumor (score 4), MRI likewise showed no signs of persistent tumor. The decrease of the contrast enhancement parameters was significantly more marked in tumors with signs of histological regression than in those without. Whenever MRI is used to judge the response of breast cancer to chemotherapy, the reader must be aware that therapy-induced changes may cause significant over- or underestimation of tumor size. We saw a high precision only when there was either no response - according to histological criteria - or when the tumor had regressed completely.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12764635     DOI: 10.1007/s00330-002-1730-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  22 in total

1.  Dynamic contrast-enhanced MRI and sonography in patients receiving primary chemotherapy for breast cancer.

Authors:  Filippo Montemurro; Laura Martincich; Giovanni De Rosa; Stefano Cirillo; Vincenzo Marra; Nicoletta Biglia; Marco Gatti; Piero Sismondi; Massimo Aglietta; Daniele Regge
Journal:  Eur Radiol       Date:  2005-01-27       Impact factor: 5.315

2.  Diagnostic performance of magnetic resonance imaging for assessing tumor response in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy is associated with molecular biomarker profile.

Authors:  Aida Kuzucan; Jeon-Hor Chen; Shadfar Bahri; Rita S Mehta; Philip M Carpenter; Peter T Fwu; Hon J Yu; David J B Hsiang; Karen T Lane; John A Butler; Stephen A Feig; Min-Ying Su
Journal:  Clin Breast Cancer       Date:  2012-04       Impact factor: 3.225

3.  CT volumetry of intravertebral cement after kyphoplasty. Comparison of polymethylmethacrylate and calcium phosphate in a 12-month follow-up.

Authors:  M Libicher; M Vetter; I Wolf; G Noeldge; C Kasperk; I Grafe; K Da Fonseca; J Hillmeier; P J Meeder; H P Meinzer; G W Kauffmann
Journal:  Eur Radiol       Date:  2005-04-05       Impact factor: 5.315

4.  [Neoadjuvant chemotherapy of breast carcinomas: what post-therapeutic (preoperative) information is provided by quantitative dynamic MRI?].

Authors:  K Wasser; S K Klein; H Junkermann; H P Sinn; S Darai; W Neff; H U Kauczor; S Delorme
Journal:  Radiologe       Date:  2007-05       Impact factor: 0.635

5.  Diagnostic usefulness of segmental and linear enhancement in dynamic breast MRI.

Authors:  N Morakkabati-Spitz; C Leutner; H Schild; F Traeber; C Kuhl
Journal:  Eur Radiol       Date:  2005-04-20       Impact factor: 5.315

6.  MRI does not predict pathologic complete response after neoadjuvant chemotherapy for breast cancer.

Authors:  Stephen F Sener; Rachel E Sargent; Connie Lee; Tejas Manchandia; Vivian Le-Tran; Yuliya Olimpiadi; Nicole Zaremba; Andrew Alabd; Maria Nelson; Julie E Lang
Journal:  J Surg Oncol       Date:  2019-08-09       Impact factor: 3.454

7.  Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival-Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL.

Authors:  Nola M Hylton; Constantine A Gatsonis; Mark A Rosen; Constance D Lehman; David C Newitt; Savannah C Partridge; Wanda K Bernreuter; Etta D Pisano; Elizabeth A Morris; Paul T Weatherall; Sandra M Polin; Gillian M Newstead; Helga S Marques; Laura J Esserman; Mitchell D Schnall
Journal:  Radiology       Date:  2015-12-01       Impact factor: 11.105

8.  Breast cancer: evaluation of response to neoadjuvant chemotherapy with 3.0-T MR imaging.

Authors:  Jeon-Hor Chen; Shadfar Bahri; Rita S Mehta; Aida Kuzucan; Hon J Yu; Philip M Carpenter; Stephen A Feig; Muqing Lin; David J B Hsiang; Karen T Lane; John A Butler; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2011-08-30       Impact factor: 11.105

Review 9.  State of the art of current modalities for the diagnosis of breast lesions.

Authors:  Cosimo Di Maggio
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-04-15       Impact factor: 9.236

10.  Magnetic resonance imaging shrinkage patterns following neoadjuvant chemotherapy for breast carcinomas with an emphasis on the radiopathological correlations.

Authors:  Kaori Tomida; Mitsuaki Ishida; Tomoko Umeda; Sachiko Sakai; Yuki Kawai; Tsuyoshi Mori; Yoshihiro Kubota; Eiji Mekata; Shigeyuki Naka; Hajime Abe; Hidetoshi Okabe; Tohru Tani
Journal:  Mol Clin Oncol       Date:  2014-06-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.