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MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.

Publication ,  Journal Article
Partridge, SC; Gibbs, JE; Lu, Y; Esserman, LJ; Tripathy, D; Wolverton, DS; Rugo, HS; Hwang, ES; Ewing, CA; Hylton, NM
Published in: AJR Am J Roentgenol
June 2005

OBJECTIVE: The purpose of this study was to assess the value of MRI measurements of breast tumor size for predicting recurrence-free survival (RFS) in patients undergoing neoadjuvant (preoperative) chemotherapy and to compare the predictive value of MRI with that of established prognostic indicators. SUBJECTS AND METHODS: The study included 62 patients undergoing neoadjuvant chemotherapy. The longest diameter and volume of each tumor were measured on MRI before and after one and four cycles of treatment. Change in diameter on clinical examination, tumor size at pathology, and the number of positive nodes were determined. Each measure of tumor extent was assessed for the ability to predict RFS. RESULTS: Univariate Cox analysis showed initial MRI volume was the strongest predictor of RFS (p = 0.002). Final change in MRI volume (p = 0.015) was more predictive than change in diameter on MRI (p = 0.077) or clinical examination (p = 0.27). Initial diameter on MRI (p = 0.003) and clinical examination (p = 0.033), tumor size at pathology (p = 0.016), and number of positive nodes (p = 0.045) were also significantly predictive of RFS. Early change in MRI volume (p = 0.071) and diameter (p = 0.081) after one chemotherapy cycle showed trends of association with RFS. Multivariate analysis showed initial MRI volume (p = 0.005) and final change in MRI volume (p = 0.003) were significant independent predictors. CONCLUSION: MRI tumor volume was more predictive of RFS than tumor diameter, suggesting that volumetric changes measured using MRI may provide a more sensitive assessment of treatment efficacy.

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Published In

AJR Am J Roentgenol

DOI

ISSN

0361-803X

Publication Date

June 2005

Volume

184

Issue

6

Start / End Page

1774 / 1781

Location

United States

Related Subject Headings

  • Taxoids
  • Survival Analysis
  • Proportional Hazards Models
  • Predictive Value of Tests
  • Nuclear Medicine & Medical Imaging
  • Neoplasm Recurrence, Local
  • Neoadjuvant Therapy
  • Middle Aged
  • Magnetic Resonance Imaging
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Partridge, S. C., Gibbs, J. E., Lu, Y., Esserman, L. J., Tripathy, D., Wolverton, D. S., … Hylton, N. M. (2005). MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. AJR Am J Roentgenol, 184(6), 1774–1781. https://doi.org/10.2214/ajr.184.6.01841774
Partridge, Savannah C., Jessica E. Gibbs, Ying Lu, Laura J. Esserman, Debasish Tripathy, Dulcy S. Wolverton, Hope S. Rugo, E Shelley Hwang, Cheryl A. Ewing, and Nola M. Hylton. “MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.AJR Am J Roentgenol 184, no. 6 (June 2005): 1774–81. https://doi.org/10.2214/ajr.184.6.01841774.
Partridge SC, Gibbs JE, Lu Y, Esserman LJ, Tripathy D, Wolverton DS, et al. MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. AJR Am J Roentgenol. 2005 Jun;184(6):1774–81.
Partridge, Savannah C., et al. “MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.AJR Am J Roentgenol, vol. 184, no. 6, June 2005, pp. 1774–81. Pubmed, doi:10.2214/ajr.184.6.01841774.
Partridge SC, Gibbs JE, Lu Y, Esserman LJ, Tripathy D, Wolverton DS, Rugo HS, Hwang ES, Ewing CA, Hylton NM. MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. AJR Am J Roentgenol. 2005 Jun;184(6):1774–1781.

Published In

AJR Am J Roentgenol

DOI

ISSN

0361-803X

Publication Date

June 2005

Volume

184

Issue

6

Start / End Page

1774 / 1781

Location

United States

Related Subject Headings

  • Taxoids
  • Survival Analysis
  • Proportional Hazards Models
  • Predictive Value of Tests
  • Nuclear Medicine & Medical Imaging
  • Neoplasm Recurrence, Local
  • Neoadjuvant Therapy
  • Middle Aged
  • Magnetic Resonance Imaging
  • Humans