Accuracy of perfusion MRI with high spatial but low temporal resolution to assess invasive breast cancer response to neoadjuvant chemotherapy: A retrospective study

BMC Cancer

Volumn 11, Issue , 2011, Pages

  de Bazelaire, Cédric ^a   Calmon, Raphael ^a   Thomassin, Isabelle ^b   Brunon, Clément ^c   Hamy, Anne Sophie ^a   Fournier, Laure ^c   Balvay, Daniel ^c   Espié, Marc ^a   Siauve, Nathalie ^c   Clément, Olivier ^c   de Kerviler, Eric ^a   Cuénod, Charles André ^c  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c HÔPITAL EUROPÉEN GEORGES POMPIDOU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHRACYCLINE; CYCLOPHOSPHAMIDE; DOCETAXEL; GADOTERATE MEGLUMINE;

ADJUVANT THERAPY; ADULT; ANALYTICAL PARAMETERS; ARTERIAL INPUT FUNCTION; ARTICLE; BREAST CANCER; CANCER ADJUVANT THERAPY; CANCER CHEMOTHERAPY; CANCER INVASION; CLINICAL ARTICLE; CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DRUG EFFECT; FEMALE; HUMAN; HUMAN TISSUE; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; KINETICS; LEAKAGE SPACE; MATHEMATICAL COMPUTING; MULTIPLE CYCLE TREATMENT; OUTCOME ASSESSMENT; PERFUSION WEIGHTED IMAGING; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; TRANSFER CONSTANT; TREATMENT RESPONSE; BLOOD FLOW; BREAST TUMOR; CANCER GRADING; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; MICROCIRCULATION; MIDDLE AGED; NONPARAMETRIC TEST; PATHOLOGY; STANDARD; VASCULARIZATION;

ADULT; BREAST NEOPLASMS; FEMALE; HUMANS; MAGNETIC RESONANCE ANGIOGRAPHY; MICROCIRCULATION; MIDDLE AGED; NEOADJUVANT THERAPY; NEOPLASM GRADING; REGIONAL BLOOD FLOW; RETROSPECTIVE STUDIES; ROC CURVE; STATISTICS, NONPARAMETRIC;

EID: 80051796210     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/1471-2407-11-361     Document Type: Article

References (59)

1. Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology 2007, 244(2):356-378.
2. Yeh E, Slanetz P, Kopans DB, Rafferty E, Georgian-Smith D, Moy L, Halpern E, Moore R, Kuter I, Taghian A. Prospective comparison of mammography, sonography, and MRI in patients undergoing neoadjuvant chemotherapy for palpable breast cancer. AJR Am J Roentgenol 2005, 184(3):868-877.
3. 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, 184(6):1774-1781.
4. Loo CE, Teertstra HJ, Rodenhuis S, van de Vijver MJ, Hannemann J, Muller SH, Peeters MJ, Gilhuijs KG. Dynamic contrast-enhanced MRI for prediction of breast cancer response to neoadjuvant chemotherapy: initial results. AJR Am J Roentgenol 2008, 191(5):1331-1338.
5. Hattangadi J, Park C, Rembert J, Klifa C, Hwang J, Gibbs J, Hylton N. Breast stromal enhancement on MRI is associated with response to neoadjuvant chemotherapy. AJR Am J Roentgenol 2008, 190(6):1630-1636.
6. Rieber A, Brambs HJ, Gabelmann A, Heilmann V, Kreienberg R, Kuhn T. Breast MRI for monitoring response of primary breast cancer to neo-adjuvant chemotherapy. Eur Radiol 2002, 12(7):1711-1719.
7. Padhani AR, Hayes C, Assersohn L, Powles T, Makris A, Suckling J, Leach MO, Husband JE. Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results. Radiology 2006, 239(2):361-374.
8. Yankeelov TE, Lepage M, Chakravarthy A, Broome EE, Niermann KJ, Kelley MC, Meszoely I, Mayer IA, Herman CR, McManus K, Price RR, Gore JC. Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging 2007, 25(1):1-13.
9. Delille JP, Slanetz PJ, Yeh ED, Kopans DB, Garrido L. Breast cancer: regional blood flow and blood volume measured with magnetic susceptibility-based MR imaging--initial results. Radiology 2002, 223(2):558-565.
10. El Khoury C, Servois V, Thibault F, Tardivon A, Ollivier L, Meunier M, Allonier C, Neuenschwander S. MR quantification of the washout changes in breast tumors under preoperative chemotherapy: feasibility and preliminary results. AJR Am J Roentgenol 2005, 184(5):1499-1504.
11. Padhani AR. Dynamic contrast-enhanced MRI in clinical oncology: current status and future directions. J Magn Reson Imaging 2002, 16(4):407-422.
12. Liu Y, Bellomi M, Gatti G, Ping X. Accuracy of computed tomography perfusion in assessing metastatic involvement of enlarged axillary lymph nodes in patients with breast cancer. Breast Cancer Res 2007, 9(4):R40.
13. Larsson HB, Stubgaard M, Frederiksen JL, Jensen M, Henriksen O, Paulson OB. Quantitation of blood-brain barrier defect by magnetic resonance imaging and gadolinium-DTPA in patients with multiple sclerosis and brain tumors. Magn Reson Med 1990, 16(1):117-131.
14. Tofts PS, Kermode AG. Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts. Magn Reson Med 1991, 17(2):357-367.
15. Brix G, Bahner ML, Hoffmann U, Horvath A, Schreiber W. Regional blood flow, capillary permeability, and compartmental volumes: measurement with dynamic CT--initial experience. Radiology 1999, 210(1):269-276.
16. St Lawrence KS, Lee TY. An adiabatic approximation to the tissue homogeneity model for water exchange in the brain: I. Theoretical derivation. J Cereb Blood Flow Metab 1998, 18(12):1365-1377.
17. St Lawrence KS, Lee TY. An adiabatic approximation to the tissue homogeneity model for water exchange in the brain: II. Experimental validation. J Cereb Blood Flow Metab 1998, 18(12):1378-1385.
18. de Bazelaire C, Siauve N, Fournier L, Frouin F, Robert P, Clement O, de Kerviler E, Cuenod CA. Comprehensive model for simultaneous MRI determination of perfusion and permeability using a blood-pool agent in rats rhabdomyosarcoma. Eur Radiol 2005, 15(12):2497-2505.
19. Buckley DL. Uncertainty in the analysis of tracer kinetics using dynamic contrast-enhanced T1-weighted MRI. Magn Reson Med 2002, 47(3):601-606.
20. Ah-See ML, Makris A, Taylor NJ, Harrison M, Richman PI, Burcombe RJ, Stirling JJ, d'Arcy JA, Collins DJ, Pittam MR, Ravichandran D, Padhani AR. Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer. Clin Cancer Res 2008, 14(20):6580-6589.
21. Kuhl CK. Current status of breast MR imaging. Part 2. Clinical applications. Radiology 2007, 244(3):672-691.
22. Li KL, Henry RG, Wilmes LJ, Gibbs J, Zhu X, Lu Y, Hylton NM. Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging. Magn Reson Med 2007, 58(3):572-581.
23. Li X, Rooney WD, Springer CS. A unified magnetic resonance imaging pharmacokinetic theory: intravascular and extracellular contrast reagents. Magn Reson Med 2005, 54(6):1351-1359.
24. Kuhl CK, Schild HH, Morakkabati N. Dynamic bilateral contrast-enhanced MR imaging of the breast: trade-off between spatial and temporal resolution. Radiology 2005, 236(3):789-800.
25. Eyal E, Degani H. Model-based and model-free parametric analysis of breast dynamic-contrast-enhanced MRI. NMR Biomed 2009,
26. van Osch MJ, Vonken EJ, Bakker CJ, Viergever MA. Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI. Magn Reson Med 2001, 45(3):477-485.
27. Weinmann HJ, Laniado M, Mutzel W. Pharmacokinetics of GdDTPA/dimeglumine after intravenous injection into healthy volunteers. Physiol Chem Phys Med NMR 1984, 16(2):167-172.
28. Riethdorf S, Pantel K. Clinical relevance and current challenges of research on disseminating tumor cells in cancer patients. Breast Cancer Res 2009, 11(Suppl 3):S10.
29. Pierga JY, Bidard FC, Mathiot C, Brain E, Delaloge S, Giachetti S, de Cremoux P, Salmon R, Vincent-Salomon A, Marty M. Circulating tumor cell detection predicts early metastatic relapse after neoadjuvant chemotherapy in large operable and locally advanced breast cancer in a phase II randomized trial. Clin Cancer Res 2008, 14(21):7004-7010.
30. Sataloff DM, Mason BA, Prestipino AJ, Seinige UL, Lieber CP, Baloch Z. Pathologic response to induction chemotherapy in locally advanced carcinoma of the breast: a determinant of outcome. J Am Coll Surg 1995, 180(3):297-306.
31. Miller AB, Hoogstraten B, Staquet M, Winkler A. Reporting results of cancer treatment. Cancer 1981, 47(1):207-214.
32. Port RE, Knopp MV, Brix G. Dynamic contrast-enhanced MRI using Gd-DTPA: interindividual variability of the arterial input function and consequences for the assessment of kinetics in tumors. Magn Reson Med 2001, 45(6):1030-1038.
33. Balvay D, Frouin F, Calmon G, Bessoud B, Kahn E, Siauve N, Clement O, Cuenod CA. New criteria for assessing fit quality in dynamic contrast-enhanced T1-weighted MRI for perfusion and permeability imaging. Magn Reson Med 2005, 54(4):868-877.
34. Tofts PS, Berkowitz B, Schnall MD. Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model. Magn Reson Med 1995, 33(4):564-568.
35. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988, 44(3):837-845.
36. Wolmark N, Wang J, Mamounas E, Bryant J, Fisher B. Preoperative chemotherapy in patients with operable breast cancer: nine-year results from National Surgical Adjuvant Breast and Bowel Project B-18. J Natl Cancer Inst Monogr 2001, (30):96-102.
37. Sevick EM, Jain RK. Geometric resistance to blood flow in solid tumors perfused ex vivo: effects of tumor size and perfusion pressure. Cancer Res 1989, 49(13):3506-3512.
38. Sevick EM, Jain RK. Viscous resistance to blood flow in solid tumors: effect of hematocrit on intratumor blood viscosity. Cancer Res 1989, 49(13):3513-3519.
39. Less JR, Skalak TC, Sevick EM, Jain RK. Microvascular architecture in a mammary carcinoma: branching patterns and vessel dimensions. Cancer Res 1991, 51(1):265-273.
40. Li SP, Taylor NJ, Makris A, Ah-See ML, Beresford MJ, Stirling JJ, d'Arcy JA, Collins DJ, Padhani AR. Primary human breast adenocarcinoma: imaging and histologic correlates of intrinsic susceptibility-weighted MR imaging before and during chemotherapy. Radiology 257(3):643-652.
41. Wedam SB, Low JA, Yang SX, Chow CK, Choyke P, Danforth D, Hewitt SM, Berman A, Steinberg SM, Liewehr DJ, Plehn J, Doshi A, Thomasson D, McCarthy N, Koeppen H, Sherman M, Zujewski J, Camphausen K, Chen H, Swain SM. Antiangiogenic and antitumor effects of bevacizumab in patients with inflammatory and locally advanced breast cancer. J Clin Oncol 2006, 24(5):769-777.
42. Green AJ, Francis RJ, Baig S, Begent RH. Semiautomatic volume of interest drawing for (18)F-FDG image analysis-method and preliminary results. Eur J Nucl Med Mol Imaging 2008, 35(2):393-406.
43. Chen W, Giger ML, Bick U. A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Acad Radiol 2006, 13(1):63-72.
44. Stoutjesdijk MJ, Veltman J, Huisman H, Karssemeijer N, Barentsz JO, Blickman JG, Boetes C. Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection. J Magn Reson Imaging 2007, 26(3):606-614.
45. Henderson E, Rutt BK, Lee TY. Temporal sampling requirements for the tracer kinetics modeling of breast disease. Magn Reson Imaging 1998, 16(9):1057-1073.
46. Li SP, Makris A, Beresford MJ, Taylor NJ, Ah-See ML, Stirling JJ, d'Arcy JA, Collins DJ, Kozarski R, Padhani AR. Use of Dynamic Contrast-enhanced MR Imaging to Predict Survival in Patients with Primary Breast Cancer Undergoing Neoadjuvant Chemotherapy. Radiology 2011, 260(1):68-78.
47. Li SP, Padhani AR, Taylor NJ, Beresford MJ, Ah-See ML, Stirling JJ, d'Arcy JA, Collins DJ, Makris A. Vascular characterisation of triple negative breast carcinomas using dynamic MRI. Eur Radiol 2011, 21(7):1364-1373.
48. Li KL, Wilmes LJ, Henry RG, Pallavicini MG, Park JW, Hu-Lowe DD, McShane TM, Shalinsky DR, Fu YJ, Brasch RC, Hylton NM. Heterogeneity in the angiogenic response of a BT474 human breast cancer to a novel vascular endothelial growth factor-receptor tyrosine kinase inhibitor: assessment by voxel analysis of dynamic contrast-enhanced MRI. J Magn Reson Imaging 2005, 22(4):511-519.
49. Planey CR, Welch EB, Xu L, Chakravarthy AB, Gatenby JC, Freehardt D, Mayer I, Meszeoly I, Kelley M, Means-Powell J, Gore JC, Yankeelov TE. Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer. J Magn Reson Imaging 2009, 30(1):121-134.
50. Pinker K, Grabner G, Bogner W, Gruber S, Szomolanyi P, Trattnig S, Heinz-Peer G, Weber M, Fitzal F, Pluschnig U, Rudas M, Helbich T. A combined high temporal and high spatial resolution 3 Tesla MR imaging protocol for the assessment of breast lesions: initial results. Invest Radiol 2009, 44(9):553-558.
51. Tofts PS. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging 1997, 7(1):91-101.
52. Daldrup HE, Shames DM, Husseini W, Wendland MF, Okuhata Y, Brasch RC. Quantification of the extraction fraction for gadopentetate across breast cancer capillaries. Magn Reson Med 1998, 40(4):537-543.
53. Wasser K, Sinn HP, Fink C, Klein SK, Junkermann H, Ludemann HP, Zuna I, Delorme S. Accuracy of tumor size measurement in breast cancer using MRI is influenced by histological regression induced by neoadjuvant chemotherapy. Eur Radiol 2003, 13(6):1213-1223.
54. Denis F, Desbiez-Bourcier AV, Chapiron C, Arbion F, Body G, Brunereau L. Contrast enhanced magnetic resonance imaging underestimates residual disease following neoadjuvant docetaxel based chemotherapy for breast cancer. Eur J Surg Oncol 2004, 30(10):1069-1076.
55. Rieber A, Zeitler H, Rosenthal H, Gorich J, Kreienberg R, Brambs HJ, Tomczak R. MRI of breast cancer: influence of chemotherapy on sensitivity. Br J Radiol 1997, 70(833):452-458.
56. Kuhl CK, Traber F, Gieseke J, Drahanowsky W, Morakkabati-Spitz N, Willinek W, von Falkenhausen M, Manka C, Schild HH. Whole-body high-field-strength (3.0-T) MR imaging in clinical practice. Part II. Technical considerations and clinical applications. Radiology 2008, 247(1):16-35.
57. Connett JE, Smith JA, McHugh RB. Sample size and power for pair-matched case-control studies. Stat Med 1987, 6(1):53-59.
58. Danishad KK, Sharma U, Sah RG, Seenu V, Parshad R, Jagannathan NR. Assessment of therapeutic response of locally advanced breast cancer (LABC) patients undergoing neoadjuvant chemotherapy (NACT) monitored using sequential magnetic resonance spectroscopic imaging (MRSI). NMR Biomed 2010, 23(3):233-241.
59. Park SH, Moon WK, Cho N, Song IC, Chang JM, Park IA, Han W, Noh DY. Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Radiology 2010, 257(1):56-63.