Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
BMC Cancer
Published in: BMC Cancer 1/2009

Open Access 01-12-2009 | Research article

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

Authors: Zhang Yili, Huang Xiaoyan, Du Hongwen, Zhang Yun, Chen Xin, Wang Peng, Guo Youmin

Published in: BMC Cancer | Issue 1/2009

Login to get access

Abstract

Background

To define a threshold value of apparent diffusion coefficient (ADC) with which malignant breast lesions can be distinguished from benign lesions, and to evaluate the ADC change of peri-tumor tissue in breast carcinoma by echo planar-diffusion weighted imaging (EPI-DWI).

Methods

57 breast lesions were scanned by routine MRI and EPI-DWI. The ADC values were compared between malignant and benign lesions. The sensitivity and specificity of EPI-DWI and the threshold ADC value were evaluated by Receiver Operating Characteristic curve (ROC). The ADC values of malignant lesion and layered peri-tumor tissues (from innermost layer 1 to outermost layer 4 with 5 mm every layer) in different directions were compared and the ADC values among different layers were compared.

Results

The ADC value of 35 malignant lesions was statistically lower than that of 22 benign lesions (P < 0.05). In ROC curve, the threshold value was 1.24 +/- 0.25*10E-3 mm2/s (b = 500) or 1.20 +/- 0.25*10E-3 mm2/s (b = 1000). The ADC value of malignant lesions was statistically lower than that of peri-tumor tissues in different directions (P < 0.05). For peri-tumor tissues, the ADC values increased gradually from layer 1 to layer 4 and there was a significant difference between the ADC values of layer 1 and layer 2 (P < 0.05); while from layer 2 outwards, there was no statistical difference among different layers.

Conclusion

ADC value was a sensitive and specific parameter that could help to differentiate benign and malignant breast lesions. ADC changes in tissues adjacent to breast carcinoma could be detected by EPI-DWI, which made EPI-DWI a promising method for helping to determine surgical scope of breast carcinoma.
Appendix
Available only for authorised users
Literature
1.
Masetti R, Di Leone A, Franceschini G, Magno S, Terribile D, Fabbri MC, Chiesa F: Oncoplastic techniques in the conservative surgical treatment of breast cancer: an overview. Breast J. 2006, 174-80. 10.1111/j.1075-122X.2006.00331.x.
2.
Choi Seungtaek, Thames Howard, Buchholz Thomas: Integration of Radiation Therapy and Systemic Therapy for Breast Cancer. Springer Berlin Heidelberg. 2006, 251-265.
3.
Goldenberg David, Harden Susan, Masayesva Brett, Ha Patrick, Benoit Nicole, Westra William, Koch Wayne, Sidransky David, Califano Joseph: Intraoperative Molecular Margin Analysis in Head and Neck Cancer. Arch Otolaryngol Head Neck Surg. 2004, 130: 39-44. 10.1001/archotol.130.1.39.CrossRefPubMed
4.
Yan Pearlly, Venkataramu Chinnambally, Ibrahim Ashraf, Liu Joseph, Shen Rulong, Diaz Nils, Centeno Barbara, Weber Frank, Yu-Wei Leu, Shapiro Charles, et al: Mapping Geographic Zones of Cancer Risk with Epigenetic Biomarkers in Normal Breast Tissue. Clinical Cancer Research. 2006, 12 (22): 6626-6636. 10.1158/1078-0432.CCR-06-0467.CrossRefPubMed
5.
Kim J, Reber HA, Dry SM, Elashoff D, Chen SL, Umetani N, Kitago M, Hines OJ, Kazanjian KK, Hiramatsu S, et al: Unfavourable prognosis associated with K-ras gene mutation in pancreatic cancer surgical margins. Gut. 2006, 55 (11): 1598-605. 10.1136/gut.2005.083063.CrossRefPubMedPubMedCentral
6.
Masasyesva1 Brett, Tong Betty, Brock Malcolm, Pilkington Thomas, Goldenberg David, Sidransky David, Harden Susan, Westra William, Califano Joseph: Molecular margin analysis predicts local recurrence after sublobar resection of lung cancer. International journal of cancer. 2005, 113 (6): 1022-1025. 10.1002/ijc.20683.CrossRefPubMed
7.
Zhang Dingdong, Bai Yunfei, Ge Qinyu, Qiao Yingjuan, Wang Yan, Chen Zaozao, Lu Zuhong: Microarray-based molecular margin methylation pattern analysis in colorectal carcinoma. Analytical biochemistry. 2006, 355 (1): 117-24. 10.1016/j.ab.2006.04.048.CrossRefPubMed
8.
Pan Zhi-Zhong, Wan De-Sen, Zhang Chang-Qing, Shao Jian-Yong, Li Li-Ren, Chen Gong, Zhou Zhi-Wei, Wang Fu-Long: Using p53-immunostained large specimens to determine the distal intramural spread margin of rectal cancer. World J Gastroenterol. 2006, 12 (10): 1626-1629.CrossRefPubMedPubMedCentral
9.
Yang Bin, Gao Ying-Tang, Du Zhi, Zhao Lei, Song Wen-Qin: Methylation-based molecular margin analysis in hepatocellular carcinoma. Biochemical and Biophysical Research Communications. 2005, 338 (3): 1353-1358. 10.1016/j.bbrc.2005.10.095.CrossRefPubMed
10.
Manenti G, Squillaci E, Di Roma M, Carlani M, Mancino S, Simonetti G: In vivo measurement of the apparent diffusion coefficient in normal and malignant prostatic tissue using thin-slice echo-planar imaging. Radiol Med (Torino). 2006, 111 (8): 1124-33. 10.1007/s11547-006-0110-8.CrossRef
11.
Koyama T, Togashi K: Functional MR imaging of the female pelvis. Journal of magnetic resonance imaging. 2007, 25 (6): 1101-12. 10.1002/jmri.20913.CrossRefPubMed
12.
Woodhams R, Matsunaga K, Kan S, Hata H, Ozaki M, Iwabuchi K, Kuranami M, Watanabe M, Hayakawa K: ADC mapping of benign and malignant breast tumors. Magnetic resonance in medical sciences. 2005, 4 (1): 35-42. 10.2463/mrms.4.35.CrossRefPubMed
13.
Hartmann M, Junkers R, Herold-Mende C, Ahmadi R, Heiland S: Pseudonormalization of diffusion weighted images: magnetic resonance imaging in an animal model (C6-glioma). Rofo. 2005, 177 (1): 114-8.CrossRefPubMed
14.
Rubesova E, Grell AS, De Maertelaer V, Metens T, Chao SL, Lemort M: Quantitative Diffusion Imaging in Breast Cancer: A Clinical Prospective Study. Journal of magnetic resonance imaging. 2006, 24: 319-324. 10.1002/jmri.20643.CrossRefPubMed
15.
Kim CK, Park BK, Han JJ, Kang TW, Lee HM: Diffusion-weighted imaging of the prostate at 3 T for differentiation of malignant and benign tissue in transition and peripheral zones: preliminary results. Journal of Comput Assist Tomogr. 2007, 31 (3): 449-54. 10.1097/01.rct.0000243456.00437.59.CrossRef
16.
Luo JD, Liu YY, Zhang XL, Shi LC: Application of diffusion weighted magnetic resonance imaging to differential diagnosis of breast diseases. Ai Zheng. 2007, 26 (2): 168-71.PubMed
17.
Woodhams R, Matsunaga K, Iwabuchi K, Kan S, Hata H, Kuranami M, Watanabe M, Hayakawa K: 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. Journal of Comput Assist Tomogr. 2005, 29 (5): 644-9. 10.1097/01.rct.0000171913.74086.1b.CrossRef
18.
Kuroki Y, Nasu K, Kuroki S, Murakami K, Hayashi T, Sekiguchi R, Nawano S: Diffusion-weighted imaging of breast cancer with the sensitivity encoding technique: analysis of the apparent diffusion coefficient value. Magn Reson Med Sci. 2004, 3 (2): 79-85. 10.2463/mrms.3.79.CrossRefPubMed
19.
Pickles MD, Gibbs P, Lowry M, Turnbull LW: Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging. 2006, 24 (7): 843-7. 10.1016/j.mri.2005.11.005.CrossRefPubMed
20.
Kuhl CK: Concepts for differential diagnosis in breast MR imaging. Magn Reson Imaging Clin N Am. 2006, 14 (3): 305-28. 10.1016/j.mric.2006.07.002.CrossRefPubMed
21.
Rumpel H, Khoo JB, Chang HM, Lim WE, Chen C, Wong MC, Tan KP: Correlation of the apparent diffusion coefficient and the creatine level in early ischemic stroke: a comparison of different patterns by magnetic resonance. Journal of magnetic resonance imaging. 2001, 13 (3): 335-43. 10.1002/jmri.1048.CrossRefPubMed
22.
Kuroki Y, Nawano S, Hasebe T, Imoto S, Nasu K, Murakami K, Satake M, Sekiguchi R, Hayashi T: Efficacy of MR mammography (MRM) in providing preoperative locoregional information on breast cancer: correlation between MRM and histological findings. Magnetic resonance in medical sciences. 2002, 1 (2): 73-80. 10.2463/mrms.1.73.CrossRefPubMed
23.
Guo Y, Cai YQ, Cai ZL, Gao YG, An NY, Ma L, Mahankali S, Gao JH: Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. Journal of magnetic resonance imaging. 2002, 16 (2): 172-8. 10.1002/jmri.10140.CrossRefPubMed
24.
Luini A, Gatti G, Galimberti V, Zurrida S, Intra M, Gentilini O, Paganelli G, Viale G, Orecchia R, Veronesi P: Conservative treatment of breast cancer: its evolution. Breast cancer research and treatment. 2005, 94 (3): 195-8. 10.1007/s10549-004-7376-0.CrossRefPubMed
25.
Cocquyt VF, Blondeel PN, Depypere HT, Sijpe Van De KA, Daems KK, Monstrey SJ, Van Belle SJ: Better cosmetic results and comparable quality of life after skin-sparing mastectomy and immediate autologous breast reconstruction compared to breast conservative treatment. British journal of plastic surgery. 2003, 56 (5): 462-70. 10.1016/S0007-1226(03)00198-X.CrossRefPubMed
26.
Meric F, Mirza NQ, Vlastos G, Buchholz TA, Kuerer HM, Babiera GV, Singletary SE, Ross MI, Ames FC, Feig BW, et al: Positive surgical margins and ipsilateral breast tumor recurrence predict disease-specific survival after breast-conserving therapy. Cancer. 2003, 97 (4): 926-33. 10.1002/cncr.11222.CrossRefPubMed
27.
Horst KC, Smitt MC, Goffinet DR, Carlson RW: Predictors of local recurrence after breast-conservation therapy. Clinical breast cancer. 2005, 5 (6): 425-38. 10.3816/CBC.2005.n.001.CrossRefPubMed
28.
Kuerer HM, Arthur DW, Haffty BG: Repeat breast-conserving surgery for in-breast local breast carcinoma recurrence: the potential role of partial breast irradiation. Cancer. 2004, 100 (11): 2269-80. 10.1002/cncr.20257.CrossRefPubMed
29.
Fatouros M, Roukos DH, Arampatzis I, Sotiriadis A, Paraskevaidis E, Kappas AM: Factors increasing local recurrence in breast-conserving surgery. Expert Rev Anticancer Ther. 2005, 5 (4): 737-45. 10.1586/14737140.5.4.737.CrossRefPubMed
30.
Kunos C, Latson L, Overmoyer B, Silverman P, Shenk R, Kinsella T, Lyons J: Breast conservation surgery achieving > or = 2 mm tumor-free margins results in decreased local-regional recurrence rates. Breast. 2006, 12 (1): 28-36. 10.1111/j.1075-122X.2006.00181.x.CrossRef
31.
Berg WA, Gutierrez L, NessAiver MS, Carter WB, Bhargavan M, Lewis RS, Ioffe OB: Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology. 2004, 233 (3): 830-49. 10.1148/radiol.2333031484.CrossRefPubMed
32.
Sidransky D, Hollstein M: Clinical implications of the p53 gene. Annu Rev Med. 1996, 47: 285-301. 10.1146/annurev.med.47.1.285.CrossRefPubMed
33.
Balch GC, Mithani SK, Simpson JF, Kelley MC: Accuracy of intraoperative gross examination of surgical margin status in women undergoing partial mastectomy for breast malignancy. Am Surg. 2005, 71 (1): 22-7.PubMed
34.
Clarke GM, Eidt S, Sun L, Mawdsley G, Zubovits JT, Yaffe MJ: Whole-specimen histopathology: a method to produce whole-mount breast serial sections for 3-D digital histopathology imaging. Histopathology. 2007, 50 (2): 232-42. 10.1111/j.1365-2559.2006.02561.x.CrossRefPubMed
35.
Obrist P, Brunhuber T, Ensinger C, Zelger BG, Dünser M, Buchberger W: Pathological examination of breast biopsy specimens. Radiologe. 2002, 42 (1): 1-5. 10.1007/s117-002-8109-8.CrossRefPubMed
36.
Rubio IT, Marco V: The importance of surgical margins in conservative surgery for breast cancer. Cirugía española. 2006, 79 (1): 3-9. 10.1016/S0009-739X(06)70807-7.CrossRefPubMed
37.
Silverstein MJ: An argument against routine use of radiotherapy for ductal carcinoma in situ. Oncology (Williston Park). 2003, 17 (11): 1511-33.
Metadata
Title
The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma
Authors
Zhang Yili
Huang Xiaoyan
Du Hongwen
Zhang Yun
Chen Xin
Wang Peng
Guo Youmin
Publication date
01-12-2009
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2009
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-9-18

Other articles of this Issue 1/2009

BMC Cancer 1/2009 Go to the issue

Research article

The high affinity selectin glycan ligand C2-O-sLex and mRNA transcripts of the core 2 β-1,6-N-acetylglusaminyltransferase (C2GnT1) gene are highly expressed in human colorectal adenocarcinomas

Research article

Identification of membrane-type 1 matrix metalloproteinase tyrosine phosphorylation in association with neuroblastoma progression

Research article

Predicting prognosis in hepatocellular carcinoma after curative surgery with common clinicopathologic parameters

Research article

Fenretinide-induced caspase-8 activation and apoptosis in an established model of metastatic neuroblastoma

Research article

Prognostic impact of H3K27me3 expression on locoregional progression after chemoradiotherapy in esophageal squamous cell carcinoma

Research article

Complete absence of M2-pyruvate kinase expression in benign pancreatic ductal epithelium and pancreaticobiliary and duodenal neoplasia
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Watch now

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine
Image Credits