Diffusion-weighted Imaging in Breast Lesion Evaluation

Overview

Journal Radiol Med

Specialty Radiology

Date 2009 Nov 11

PMID 19902330

Citations 13

Authors

P Belli

M Costantini

E Bufi

A Magistrelli

G La Torre

L BONOMO

Affiliations

Soon will be listed here.

Abstract

Purpose: The purpose of this study was to investigate the ability of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in the detection and characterisation of breast lesions.

Materials And Methods: From September 2005 to September 2007, 86 patients with breast lesions who underwent magnetic resonance imaging (MRI) in our department were included in our study. MRI was performed with a 1.5-T unit using a standard protocol including DWI sequence. For each breast lesion, the ADC value was calculated and compared with that of normal breast tissue and to the definitive pathological diagnosis. Mann-Whitney U and Kruskal-Wallis tests were used for statistical analysis.

Results: A total of 126 breast lesions were detected. Pathology results revealed 100 malignant and 26 benign lesions. Mean diameter of lesions was 26.02 mm (range 4-90 mm), including 52 lesions <or=15 mm in size. Mean ADC value of normal glandular tissue was 1.55x10(-3) mm(2)/s. Mean ADC value of malignant lesions was 0.97x10(-3) mm(2)/s. Mean ADC value for benign lesions was 1.66x10(-3) mm(2)/s. Benign lesions showed ADC values significantly higher than malignant lesions (p<0.0001).

Conclusions: DWI provides reliable information to support MRI diagnosis of breast masses. ADC value appears a promising adjunctive parameter in distinguishing malignant from benign breast lesions.

Citing Articles

Ensemble Learning for Breast Cancer Lesion Classification: A Pilot Validation Using Correlated Spectroscopic Imaging and Diffusion-Weighted Imaging.

Joy A, Lin M, Joines M, Saucedo A, Lee-Felker S, Baker J Metabolites. 2023; 13(7).

PMID: 37512542 PMC: 10385820. DOI: 10.3390/metabo13070835.

Joy A, Saucedo A, Joines M, Lee-Felker S, Kumar S, Sarma M BJR Open. 2023; 4(1):20220009.

PMID: 36860693 PMC: 9969076. DOI: 10.1259/bjro.20220009.

Diffusion-weighted imaging and apparent diffusion coefficient mapping of head and neck lymph node metastasis: a systematic review.

Belfiore M, Nardone V, DOnofrio I, Salvia A, DIppolito E, Gallo L Explor Target Antitumor Ther. 2022; 3(6):734-745.

PMID: 36530194 PMC: 9750825. DOI: 10.37349/etat.2022.00110.

Predictive value of T2-weighted magnetic resonance imaging for the prognosis of patients with mass-type breast cancer with peritumoral edema.

Liang T, Hu B, Du H, Zhang Y Oncol Lett. 2020; 20(6):314.

PMID: 33133250 PMC: 7590426. DOI: 10.3892/ol.2020.12177.

Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Surov A, Meyer H, Wienke A BMC Cancer. 2019; 19(1):955.

PMID: 31615463 PMC: 6794799. DOI: 10.1186/s12885-019-6201-4.

References

Pickles M, Gibbs P, Lowry M, Turnbull L . Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging. 2006; 24(7):843-7. DOI: 10.1016/j.mri.2005.11.005. View

Kinoshita T, Yashiro N, Ihara N, Funatu H, Fukuma E, Narita M . Diffusion-weighted half-Fourier single-shot turbo spin echo imaging in breast tumors: differentiation of invasive ductal carcinoma from fibroadenoma. J Comput Assist Tomogr. 2002; 26(6):1042-6. DOI: 10.1097/00004728-200211000-00033. View

Huang W, Fisher P, Dulaimy K, Tudorica L, OHea B, Button T . Detection of breast malignancy: diagnostic MR protocol for improved specificity. Radiology. 2004; 232(2):585-91. DOI: 10.1148/radiol.2322030547. View

Schnall M, Orel S . Breast MR imaging in the diagnostic setting. Magn Reson Imaging Clin N Am. 2006; 14(3):329-37, vi. DOI: 10.1016/j.mric.2006.07.004. View

Kuhl C . MRI of breast tumors. Eur Radiol. 2000; 10(1):46-58. DOI: 10.1007/s003300050006. View

Schaefer P, Grant P, Gonzalez R . Diffusion-weighted MR imaging of the brain. Radiology. 2000; 217(2):331-45. DOI: 10.1148/radiology.217.2.r00nv24331. View

Colagrande S, Pallotta S, Vanzulli A, Napolitano M, Villari N . The diffusion parameter in magnetic resonance: physics, techniques, and semeiotics. Radiol Med. 2005; 109(1-2):1-16. View

Bartella L, Smith C, Dershaw D, Liberman L . Imaging breast cancer. Radiol Clin North Am. 2006; 45(1):45-67. DOI: 10.1016/j.rcl.2006.10.007. View

Woodhams R, Matsunaga K, Kan S, Hata H, Ozaki M, Iwabuchi K . ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci. 2005; 4(1):35-42. DOI: 10.2463/mrms.4.35. View

10.

Guo Y, Cai Y, Cai Z, An N, Ma L, Mahankali S . Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging. 2002; 16(2):172-8. DOI: 10.1002/jmri.10140. View

11.

Woodhams R, Matsunaga K, Iwabuchi K, Kan S, Hata H, Kuranami M . Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr. 2005; 29(5):644-9. DOI: 10.1097/01.rct.0000171913.74086.1b. View

12.

Fausto A, Magaldi A, Babaei Paskeh B, Menicagli L, Lupo E, Sardanelli F . MR imaging and proton spectroscopy of the breast: how to select the images useful to convey the diagnostic message. Radiol Med. 2007; 112(7):1060-8. DOI: 10.1007/s11547-007-0193-x. View

13.

Stomper P, Winston J, Herman S, Klippenstein D, Arredondo M, Blumenson L . Angiogenesis and dynamic MR imaging gadolinium enhancement of malignant and benign breast lesions. Breast Cancer Res Treat. 1997; 45(1):39-46. DOI: 10.1023/a:1005897227030. View

14.

Baum F, Fischer U, Vosshenrich R, Grabbe E . Classification of hypervascularized lesions in CE MR imaging of the breast. Eur Radiol. 2002; 12(5):1087-92. DOI: 10.1007/s00330-001-1213-1. View

15.

Kuhl C, Jost P, Morakkabati N, Zivanovic O, Schild H, Gieseke J . Contrast-enhanced MR imaging of the breast at 3.0 and 1.5 T in the same patients: initial experience. Radiology. 2006; 239(3):666-76. DOI: 10.1148/radiol.2392050509. View

16.

Le Bihan D, Breton E, lAllemand D, Grenier P, Cabanis E, LAVAL-JEANTET M . MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology. 1986; 161(2):401-7. DOI: 10.1148/radiology.161.2.3763909. View

17.

Rubesova E, Grell A, De Maertelaer V, Metens T, Chao S, Lemort M . Quantitative diffusion imaging in breast cancer: a clinical prospective study. J Magn Reson Imaging. 2006; 24(2):319-24. DOI: 10.1002/jmri.20643. View

18.

Pediconi F, Catalano C, Occhiato R, Venditti F, Fraioli F, Napoli A . Breast lesion detection and characterization at contrast-enhanced MR mammography: gadobenate dimeglumine versus gadopentetate dimeglumine. Radiology. 2005; 237(1):45-56. DOI: 10.1148/radiol.2371041369. View

19.

Heywang S, Hahn D, Schmidt H, Krischke I, Eiermann W, Bassermann R . MR imaging of the breast using gadolinium-DTPA. J Comput Assist Tomogr. 1986; 10(2):199-204. DOI: 10.1097/00004728-198603000-00005. View

20.

Chow L, Bammer R, Moseley M, Sommer F . Single breath-hold diffusion-weighted imaging of the abdomen. J Magn Reson Imaging. 2003; 18(3):377-82. DOI: 10.1002/jmri.10353. View