Literature DB >> 21286861

DW-MRI ADC values can predict treatment response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.

Xi-Ru Li1, Liu-Quan Cheng, Mei Liu, Yan-Jun Zhang, Jian-Dong Wang, Ai-Lian Zhang, Xin Song, Jie Li, Yi-Qiong Zheng, Lei Liu.   

Abstract

The purpose of this study was to evaluate the importance of diffusion-weighted magnetic resonance imaging (DW-MRI) apparent diffusion coefficient (ADC) values to predict treatment response to neoadjuvant chemotherapy (NCT) in patients with locally advanced breast cancer (LABC). Thirty-two patients with LABC underwent 2-4 cylces of NCT (docetaxel and epirubicin). The DW-MRI scans were performed within one week prior to chemotherapy and after the first course of treatment, respectively. Accordingly, tumor volumes, changes in tumor ADC values, and their degree of correlation were analyzed. The overall response (OR) was observed in 62.5% (95% CI, 45.7-79.3%) of patients after 2 cycles of NCT. The clinical complete response (CR) rate and pathological CR (pCR) rate were 15.6 and 9.4%, respectively. The stable disease (SD) rate was 34.4% (11 patients), and progressive disease (PD) was observed in only one patient (3.1%). After the first cycle of NCT, the ADC values in the CR + PR group significantly increased (P < 0.001). The initial ADC values before chemotherapy in the OR group were significantly lower than those in the SD + PD group (P < 0.001). The initial ADC values and the changes in tumor volume after chemotherapy were negatively correlated (r = -0.58, P = 0.02). The lower the initial tumor ADC value was the more obvious the decrease in tumor volume after chemotherapy. The changes in ADC values of tumors after chemotherapy and the changes in tumor volume were positively correlated (r = 0.96, P < 0.001). After chemotherapy, the greater the change in ADC value, the more the tumor volume was reduced. Using the initial ADC values of breast cancer tumors and the early changes in ADC values after NCT, we may be able to predict tumor response to chemotherapy. Tumors with low initial ADC values may be sensitive to chemotherapy; tumors with significantly increasing ADC values early after chemotherapy may be sensitive to chemotherapy.

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Year:  2011        PMID: 21286861     DOI: 10.1007/s12032-011-9842-y

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  29 in total

1.  Multi-component apparent diffusion coefficients in human brain: relationship to spin-lattice relaxation.

Authors:  R V Mulkern; H P Zengingonul; R L Robertson; P Bogner; K H Zou; H Gudbjartsson; C R Guttmann; D Holtzman; W Kyriakos; F A Jolesz; S E Maier
Journal:  Magn Reson Med       Date:  2000-08       Impact factor: 4.668

2.  Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy.

Authors:  Rebecca J Theilmann; Rebecca Borders; Theodore P Trouard; Guowei Xia; Eric Outwater; James Ranger-Moore; Robert J Gillies; Alison Stopeck
Journal:  Neoplasia       Date:  2004 Nov-Dec       Impact factor: 5.715

3.  Combined effect of tumor necrosis factor-related apoptosis-inducing ligand and ionizing radiation in breast cancer therapy.

Authors:  A M Chinnaiyan; U Prasad; S Shankar; D A Hamstra; M Shanaiah; T L Chenevert; B D Ross; A Rehemtulla
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

4.  Monitoring therapeutic responses of primary bone tumors by diffusion-weighted image: Initial results.

Authors:  Yoshiko Hayashida; Toshitake Yakushiji; Kazuo Awai; Kazuhiro Katahira; Yoshiharu Nakayama; Osamu Shimomura; Mika Kitajima; Toshinori Hirai; Yasuyuki Yamashita; Hiroshi Mizuta
Journal:  Eur Radiol       Date:  2006-08-15       Impact factor: 5.315

5.  Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.

Authors:  Daniel A Hamstra; Thomas L Chenevert; Bradford A Moffat; Timothy D Johnson; Charles R Meyer; Suresh K Mukherji; Douglas J Quint; Stephen S Gebarski; Xiaoying Fan; Christina I Tsien; Theodore S Lawrence; Larry Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

6.  Gene expression pathway analysis to predict response to neoadjuvant docetaxel and capecitabine for breast cancer.

Authors:  Larissa A Korde; Lara Lusa; Lisa McShane; Peter F Lebowitz; LuAnne Lukes; Kevin Camphausen; Joel S Parker; Sandra M Swain; Kent Hunter; Jo Anne Zujewski
Journal:  Breast Cancer Res Treat       Date:  2010-02       Impact factor: 4.872

7.  Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI.

Authors:  Yael Mardor; Yiftach Roth; Aharon Ochershvilli; Roberto Spiegelmann; Thomas Tichler; Dianne Daniels; Stephan E Maier; Ouzi Nissim; Zvi Ram; Jacob Baram; Arie Orenstein; Raphael Pfeffer
Journal:  Neoplasia       Date:  2004 Mar-Apr       Impact factor: 5.715

8.  Health and infarcted brain tissues studied at short diffusion times: the origins of apparent restriction and the reduction in apparent diffusion coefficient.

Authors:  D G Norris; T Niendorf; D Leibfritz
Journal:  NMR Biomed       Date:  1994-11       Impact factor: 4.044

Review 9.  Diffusion-weighted MRI in the body: applications and challenges in oncology.

Authors:  Dow-Mu Koh; David J Collins
Journal:  AJR Am J Roentgenol       Date:  2007-06       Impact factor: 3.959

10.  Evaluation of ER and Ki-67 proliferation index as prognostic factors for survival following neoadjuvant chemotherapy with doxorubicin/docetaxel for locally advanced breast cancer.

Authors:  J Lee; Y H Im; S H Lee; E Y Cho; Y L Choi; Y H Ko; J H Kim; S J Nam; H J Kim; J S Ahn; Y S Park; H Y Lim; B K Han; J H Yang
Journal:  Cancer Chemother Pharmacol       Date:  2007-05-17       Impact factor: 3.333

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  37 in total

1.  Baseline tumor oxygen saturation correlates with a pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy.

Authors:  Shigeto Ueda; Darren Roblyer; Albert Cerussi; Amanda Durkin; Anais Leproux; Ylenia Santoro; Shanshan Xu; Thomas D O'Sullivan; David Hsiang; Rita Mehta; John Butler; Bruce J Tromberg
Journal:  Cancer Res       Date:  2012-07-09       Impact factor: 12.701

2.  Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Raphael Richard; Isabelle Thomassin; Marion Chapellier; Aurélie Scemama; Patricia de Cremoux; Mariana Varna; Sylvie Giacchetti; Marc Espié; Eric de Kerviler; Cedric de Bazelaire
Journal:  Eur Radiol       Date:  2013-05-08       Impact factor: 5.315

Review 3.  The Efficiency of Diffusion Weighted MRI and MR Spectroscopy On Breast MR Imaging.

Authors:  Canan Altay; Pınar Balcı
Journal:  J Breast Health       Date:  2014-10-01

Review 4.  Pre-treatment differences and early response monitoring of neoadjuvant chemotherapy in breast cancer patients using magnetic resonance imaging: a systematic review.

Authors:  R Prevos; M L Smidt; V C G Tjan-Heijnen; M van Goethem; R G Beets-Tan; J E Wildberger; M B I Lobbes
Journal:  Eur Radiol       Date:  2012-09-16       Impact factor: 5.315

5.  [Therapy monitoring of neoadjuvant therapy with MRI. RECIST and functional imaging].

Authors:  S Grandl; M Ingrisch; K Hellerhoff
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

Review 6.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

7.  Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.

Authors:  David C Newitt; Zheng Zhang; Jessica E Gibbs; Savannah C Partridge; Thomas L Chenevert; Mark A Rosen; Patrick J Bolan; Helga S Marques; Sheye Aliu; Wen Li; Lisa Cimino; Bonnie N Joe; Heidi Umphrey; Haydee Ojeda-Fournier; Basak Dogan; Karen Oh; Hiroyuki Abe; Jennifer Drukteinis; Laura J Esserman; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2018-10-22       Impact factor: 4.813

8.  Magnetic resonance-guided focused ultrasound for the treatment of painful bone metastases: role of apparent diffusion coefficient (ADC) and dynamic contrast enhanced (DCE) MRI in the assessment of clinical outcome.

Authors:  Michele Anzidei; Alessandro Napoli; Beatrice Sacconi; Fabrizio Boni; Vincenzo Noce; Michele Di Martino; Luca Saba; Carlo Catalano
Journal:  Radiol Med       Date:  2016-08-27       Impact factor: 3.469

9.  Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy.

Authors:  Richard G Abramson; Lori R Arlinghaus; Jared A Weis; Xia Li; Adrienne N Dula; Eduard Y Chekmenev; Seth A Smith; Michael I Miga; Vandana G Abramson; Thomas E Yankeelov
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-10

Review 10.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

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