Journal Article
. 2014 Aug;120(3).
doi: 10.1007/s11547-014-0442-8.

Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors

Paolo Belli 1 Melania Costantini  Enida Bufi  Giuseppe Giovanni Giardina  Pierluigi Rinaldi  Gianluca Franceschini  Lorenzo Bonomo  
  • PMID: 25096888
  •     37 References
  •     17 citations


Purpose: This study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer.

Materials And Methods: From January 2008 to June 2011, all consecutive patients with breast cancer who underwent breast magnetic resonance imaging (MRI) and subsequent surgery in our hospital were enrolled in our study. The MRI protocol included a diffusion-weighted imaging sequence with b values of 0 and 1,000 s/mm(2). For each target lesion in the breast, the ADC value was compared with regard to major prognostic factors: histology, tumour grade, tumour size, lymph node status, and age.

Results: A total of 289 patients with a mean age of 53.49 years were included in the study. The mean ADC value of malignant lesions was 1.02 × 10(-3) mm(2)/s. In situ carcinomas, grade 1 lesions, and tumours without lymph nodal involvement had mean ADC values that were significantly higher than those of invasive carcinomas (p = 0.009), grade 2/3 lesions (p < 0.001), and tumours with nodal metastases (p = 0.001). No significant differences were observed in ADC values among tumours of different sizes or among patient age groups.

Conclusions: ADC values appear to correlate with tumour grade and some major prognostic factors.

Cancer associated fibroblasts: the dark side of the coin.
Paolo Cirri, Paola Chiarugi.
Am J Cancer Res, 2011 Oct 11; 1(4). PMID: 21984967    Free PMC article.
Highly Cited.
Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.
Sung Hun Kim, Eun Suk Cha, +5 authors, Young Jin Suh.
J Magn Reson Imaging, 2009 Aug 28; 30(3). PMID: 19711411
Hormone receptor status, tumor characteristics, and prognosis: a prospective cohort of breast cancer patients.
Lisa K Dunnwald, Mary Anne Rossing, Christopher I Li.
Breast Cancer Res, 2007 Jan 24; 9(1). PMID: 17239243    Free PMC article.
Highly Cited.
Classification and grading of invasive breast carcinoma.
C W Elston.
Verh Dtsch Ges Pathol, 2007 Nov 27; 89. PMID: 18035670
Modern classification of breast cancer: should we stick with morphology or convert to molecular profile characteristics.
Emad A Rakha, Ian O Ellis.
Adv Anat Pathol, 2011 Jun 10; 18(4). PMID: 21654357
Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.
Savannah C Partridge, Wendy B DeMartini, +3 authors, Constance D Lehman.
AJR Am J Roentgenol, 2009 Nov 26; 193(6). PMID: 19933670
Redefining prognostic factors for breast cancer: YB-1 is a stronger predictor of relapse and disease-specific survival than estrogen receptor or HER-2 across all tumor subtypes.
Golareh Habibi, Samuel Leung, +7 authors, Sandra E Dunn.
Breast Cancer Res, 2008 Oct 18; 10(5). PMID: 18925950    Free PMC article.
Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors.
Sibel Kul, Aysegul Cansu, +3 authors, Abdulkadir Reis.
AJR Am J Roentgenol, 2010 Dec 24; 196(1). PMID: 21178069
Breast cancer prognostic factors: evaluation guidelines.
W L McGuire.
J Natl Cancer Inst, 1991 Feb 06; 83(3). PMID: 1988696
Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumour aggressiveness.
M Costantini, P Belli, +5 authors, L Bonomo.
Clin Radiol, 2010 Nov 13; 65(12). PMID: 21070905
Characterization of ductal carcinoma in situ on diffusion weighted breast MRI.
Habib Rahbar, Savannah C Partridge, +4 authors, Constance D Lehman.
Eur Radiol, 2011 May 13; 21(9). PMID: 21562806
Breast cancer treatment and natural history: new insights from results of screening.
L Tabár, G Fagerberg, +2 authors, R M Kitchin.
Lancet, 1992 Feb 15; 339(8790). PMID: 1346670
Breast cancer - one term, many entities?
Nicholas R Bertos, Morag Park.
J Clin Invest, 2011 Oct 04; 121(10). PMID: 21965335    Free PMC article.
Highly Cited. Review.
Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.
C W Elston, I O Ellis.
Histopathology, 1991 Nov 01; 19(5). PMID: 1757079
Highly Cited.
Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer.
S Y Choi, Y-W Chang, +3 authors, D Y Seo.
Br J Radiol, 2011 Dec 01; 85(1016). PMID: 22128125    Free PMC article.
Prognostic significance of Nottingham histologic grade in invasive breast carcinoma.
Emad A Rakha, Maysa E El-Sayed, +5 authors, Ian O Ellis.
J Clin Oncol, 2008 May 21; 26(19). PMID: 18490649
Highly Cited.
New molecular classifications of breast cancer.
Mary Cianfrocca, William Gradishar.
CA Cancer J Clin, 2009 Sep 05; 59(5). PMID: 19729680
Contrast-enhanced MR imaging as a prognostic indicator of breast cancer.
B Boné, P Aspelin, L Bronge, B Veress.
Acta Radiol, 1998 May 08; 39(3). PMID: 9571944
Refinement of breast cancer classification by molecular characterization of histological special types.
B Weigelt, H M Horlings, +7 authors, J L Peterse.
J Pathol, 2008 Aug 23; 216(2). PMID: 18720457
Highly Cited.
Mammographic density and risk of breast cancer by age and tumor characteristics.
Kimberly A Bertrand, Rulla M Tamimi, +13 authors, Celine M Vachon.
Breast Cancer Res, 2013 Nov 06; 15(6). PMID: 24188089    Free PMC article.
Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.
Sana Parsian, Habib Rahbar, +4 authors, Savannah C Partridge.
Radiology, 2012 Oct 04; 265(3). PMID: 23033500    Free PMC article.
Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma.
Bo Bae Choi, Sung Hun Kim, +4 authors, Hyeon Woo Yim.
World J Surg Oncol, 2012 Jun 30; 10. PMID: 22741544    Free PMC article.
Magnetic resonance diffusion-weighted imaging: extraneurological applications.
S Colagrande, S F Carbone, +2 authors, N Villari.
Radiol Med, 2006 May 10; 111(3). PMID: 16683086
Breast cancer prognostic classification in the molecular era: the role of histological grade.
Emad A Rakha, Jorge S Reis-Filho, +15 authors, Ian O Ellis.
Breast Cancer Res, 2010 Sep 02; 12(4). PMID: 20804570    Free PMC article.
Highly Cited. Review.
FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion.
Masatoyo Nakajo, Yoriko Kajiya, +6 authors, Masayuki Nakajo.
Eur J Nucl Med Mol Imaging, 2010 Jul 08; 37(11). PMID: 20607535
Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors.
Ahmed Abdel Khalek Abdel Razek, Gada Gaballa, Adel Denewer, Nadia Nada.
NMR Biomed, 2010 Mar 17; 23(6). PMID: 20232453
Rim enhancement of breast cancers on contrast-enhanced MR imaging: relationship with prognostic factors.
Megumi Jinguji, Yoriko Kajiya, +8 authors, Hiroki Yoshida.
Breast Cancer, 2006 Mar 07; 13(1). PMID: 16518064
Advances in breast MRI: diffusion-weighted imaging of the breast.
Yoshifumi Kuroki, Katsuhiro Nasu.
Breast Cancer, 2008 May 21; 15(3). PMID: 18491206
Coordinated expression of ER, PR and HER2 define different prognostic subtypes among poorly differentiated breast carcinomas.
Raquel C M Fernandes, Jose L B Bevilacqua, +4 authors, Filomena M Carvalho.
Histopathology, 2009 Sep 03; 55(3). PMID: 19723150
Correlations between diffusion-weighted imaging and breast cancer biomarkers.
Laura Martincich, Veronica Deantoni, +9 authors, Filippo Montemurro.
Eur Radiol, 2012 Mar 14; 22(7). PMID: 22411304
Dynamic MR imaging of invasive breast cancer: correlation with tumour grade and other histological factors.
S Mussurakis, D L Buckley, A Horsman.
Br J Radiol, 1997 May 01; 70(833). PMID: 9227224
Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes.
Christine Desmedt, Benjamin Haibe-Kains, +6 authors, Christos Sotiriou.
Clin Cancer Res, 2008 Aug 14; 14(16). PMID: 18698033
Highly Cited.
Optimization of apparent diffusion coefficient measured by diffusion-weighted MRI for diagnosis of breast lesions presenting as mass and non-mass-like enhancement.
Liuquan Cheng, Yuhan Bai, +5 authors, Lin Ma.
Tumour Biol, 2013 Feb 12; 34(3). PMID: 23397543
Invasive breast cancer: correlation of dynamic MR features with prognostic factors.
Botond K Szabó, Peter Aspelin, +2 authors, Beata Boné.
Eur Radiol, 2003 Aug 05; 13(11). PMID: 12898176
Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: the influence of the choice of b-values.
Nicky H G M Peters, Koen L Vincken, +3 authors, Lambertus W Bartels.
J Magn Reson Imaging, 2010 May 01; 31(5). PMID: 20432344
Breast cancer subtypes based on ER/PR and Her2 expression: comparison of clinicopathologic features and survival.
Adedayo A Onitilo, Jessica M Engel, Robert T Greenlee, Bickol N Mukesh.
Clin Med Res, 2009 Jul 04; 7(1-2). PMID: 19574486    Free PMC article.
Highly Cited.
Diffusion-weighted imaging in evaluating the response to neoadjuvant breast cancer treatment.
Paolo Belli, Melania Costantini, +6 authors, Lorenzo Bonomo.
Breast J, 2011 Sep 21; 17(6). PMID: 21929557
Diagnostic Performance of Diffusion Tensor Imaging with Readout-segmented Echo-planar Imaging for Invasive Breast Cancer: Correlation of ADC and FA with Pathological Prognostic Markers.
Ken Yamaguchi, Takahiko Nakazono, +4 authors, Hiroyuki Irie.
Magn Reson Med Sci, 2016 Nov 18; 16(3). PMID: 27853053    Free PMC article.
Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
Colleen Bailey, Bernard Siow, +7 authors, David J Hawkes.
NMR Biomed, 2016 Dec 22; 30(2). PMID: 28000292    Free PMC article.
Diagnostic Value of Diffusion-weighted Imaging and Apparent Diffusion Coefficient Values in the Differentiation of Breast Lesions, Histpathologic Subgroups and Correlatıon with Prognostıc Factors using 3.0 Tesla MR.
Yasin Akın, M Ümit Uğurlu, Handan Kaya, Erkin Arıbal.
J Breast Health, 2016 Jan 01; 12(3). PMID: 28331748    Free PMC article.
Apparent diffusion coefficient in estrogen receptor-positive and lymph node-negative invasive breast cancers at 3.0T DW-MRI: A potential predictor for an oncotype Dx test recurrence score.
Sunitha B Thakur, Manuela Durando, +5 authors, Elizabeth A Morris.
J Magn Reson Imaging, 2017 Jun 24; 47(2). PMID: 28640531    Free PMC article.
Can diffusion-weighted imaging add information in the evaluation of breast lesions considered suspicious on magnetic resonance imaging?
Camila Souza Guatelli, Almir Galvão Vieira Bitencourt, +5 authors, Rubens Chojniak.
Radiol Bras, 2017 Nov 01; 50(5). PMID: 29085162    Free PMC article.
Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?
Hale Aydin, Bahar Guner, +4 authors, Mehmet Ali Gulcelik.
Br J Radiol, 2018 Jan 05; 91(1084). PMID: 29299933    Free PMC article.
Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.
Jin You Kim, Jin Joo Kim, +4 authors, Heesung Park.
Eur Radiol, 2018 May 02; 28(8). PMID: 29713771
Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.
Suhong Zhao, Weihua Guo, +4 authors, Guangrui Shao.
Oncol Lett, 2018 Jun 01; 15(5). PMID: 29849809    Free PMC article.
Correlation between apparent diffusion coefficient values in breast magnetic resonance imaging and prognostic factors of breast invasive ductal carcinoma.
Ricardo Moutinho-Guilherme, Janeth Hercilia Oyola, +4 authors, Vicente Martínez de Vega.
Porto Biomed J, 2018 Aug 03; 4(1). PMID: 31595254    Free PMC article.
Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.
Alexey Surov, Hans Jonas Meyer, Andreas Wienke.
BMC Cancer, 2019 Oct 17; 19(1). PMID: 31615463    Free PMC article.
Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis.
Alexey Surov, Yun-Woo Chang, +4 authors, Andreas Wienke.
BMC Cancer, 2019 Nov 07; 19(1). PMID: 31690273    Free PMC article.
Quantitative and Qualitative Evaluation of Breast Cancer Prognosis: A Sonographic Elastography Study.
Yue You, Yu Song, +2 authors, Huaying Bo.
Med Sci Monit, 2019 Dec 06; 25. PMID: 31802780    Free PMC article.
CAIX forms a transport metabolon with monocarboxylate transporters in human breast cancer cells.
Samantha Ames, Jacob T Andring, Robert McKenna, Holger M Becker.
Oncogene, 2019 Nov 15; 39(8). PMID: 31723238
Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer.
Apekshya Chhetri, Xin Li, Joseph V Rispoli.
Front Med (Lausanne), 2020 Jun 02; 7. PMID: 32478083    Free PMC article.
Diagnostic performance of standard breast MRI compared to dedicated axillary MRI for assessment of node-negative and node-positive breast cancer.
Sanaz Samiei, Marjolein L Smidt, +4 authors, Thiemo J A van Nijnatten.
Eur Radiol, 2020 Mar 30; 30(8). PMID: 32221685    Free PMC article.
Diagnostic value of diffusion-weighted imaging-derived apparent diffusion coefficient and its association with histological prognostic factors in breast cancer.
Congcong Ren, Yu Zou, Xiaodan Zhang, Kui Li.
Oncol Lett, 2019 Aug 28; 18(3). PMID: 31452808    Free PMC article.
Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.
Julia Camps-Herrero.
BJR Open, 2019 Mar 08; 1(1). PMID: 33178933    Free PMC article.