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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02798484
Other study ID # CHUB-CNA
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date June 21, 2016
Est. completion date January 31, 2019

Study information

Verified date January 2020
Source Brugmann University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Magnetic resonance imaging (MRI) is the method of choice in breast cancer to perform the loco-regional staging and direct the treatment.

European Guidelines (EUSOMA) currently recommend MRI for initial evaluation and assessement of the neoadjuvant chemotherapy (NAC) response, for breast cancer. The standard of care consists of realizing a MRI before the start of the NAC and another one after it's ended, six months later.

There is currently no consensus on the realization of an interval MRI for early assessment of the chemosensitivity of the tumor. It would allow though alterations in the therapeutic regimen in the event of a non response. Similarly, there is no consensus on when this interval MRI should be performed.

Some recent studies suggest that Diffusion-weighted Magnetic Resonance Imaging is interesting for the evaluation of the early response. However, these are preliminary studies with quantitative measures realized by the region of interest (ROI) method. A response to neoadjuvant chemotherapy results in elevated values of apparent diffusion coefficients (ADC).

The investigator's goal for this study is to evaluate the reliability of diffusion as tumor biomarker. Therefore, they will study the quantitative analysis of the diffusion-weighted magnetic resonance sequences in the pre-therapeutic assessment and the early and late follow-up of breast cancers under neoadjuvant treatment (chemotherapy, hormonotherapy...) within the CHU Brugmann hospital. The results of this analysis will be compared with the MRI results obtained at the end of the treatment and with the histology of the initial biopsy and the surgical specimen.

The expected benefits are:

- to establish correlations between apparent diffusion coefficients (ADC) values and histology

- to observe changes in the ADC according to the type of response: ADC increase in the event of partial response, ADC stability in the event of non response, ADC decrease in the event of a progression, absence of restriction in the event of a complete response.

- to confirm that diffusion weighted MRI within a short interval (after one cure, at one month) has a predictive value for the neoadjuvant chemotherapy (NAC) response.


Recruitment information / eligibility

Status Completed
Enrollment 61
Est. completion date January 31, 2019
Est. primary completion date January 1, 2019
Accepts healthy volunteers No
Gender Female
Age group 18 Years and older
Eligibility Inclusion Criteria:

- Breast cancer

- Neo-adjuvant therapy indication

- Performance status from 0 to 2

Exclusion Criteria:

- Contraindications to magnetic resonance imaging (pacemaker, nerve stimulator, cochlear implant, major claustrophobia)

- Absence of histological results

- Disruption of the neo-adjuvant therapy

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Diffusion-weighted Nuclear Magnetic Resonance Imaging (MRI)
MRI examinations performed on two devices: Ingernia 3 Testla (Philips) on the Horta site of the CHU Brugmann hospital, and Area 1,5 Tesla (Siemens) on the Brien site of the CHU Brugmann hospital. Diffusion sequences last 6 minutes and are already performed in the standard of care. Compared to the standard of care, one additional MRI will be performed one month after the start of the neo-adjuvant treatment, with diffusion analysis.The post-processing of the examinations will be realized with the Syngo Onco Care application of Siemens.

Locations

Country Name City State
Belgium CHU Brugmann Brussels

Sponsors (1)

Lead Sponsor Collaborator
Brugmann University Hospital

Country where clinical trial is conducted

Belgium, 

References & Publications (8)

Balu-Maestro C, Chapellier C, Bleuse A, Chanalet I, Chauvel C, Largillier R. Imaging in evaluation of response to neoadjuvant breast cancer treatment benefits of MRI. Breast Cancer Res Treat. 2002 Mar;72(2):145-52. — View Citation

Fiorentino C, Berruti A, Bottini A, Bodini M, Brizzi MP, Brunelli A, Marini U, Allevi G, Aguggini S, Tira A, Alquati P, Olivetti L, Dogliotti L. Accuracy of mammography and echography versus clinical palpation in the assessment of response to primary chemotherapy in breast cancer patients with operable disease. Breast Cancer Res Treat. 2001 Sep;69(2):143-51. — View Citation

Huber S, Wagner M, Zuna I, Medl M, Czembirek H, Delorme S. Locally advanced breast carcinoma: evaluation of mammography in the prediction of residual disease after induction chemotherapy. Anticancer Res. 2000 Jan-Feb;20(1B):553-8. — View Citation

Just N. Improving tumour heterogeneity MRI assessment with histograms. Br J Cancer. 2014 Dec 9;111(12):2205-13. doi: 10.1038/bjc.2014.512. Epub 2014 Sep 30. Review. — View Citation

Li XR, Cheng LQ, Liu M, Zhang YJ, Wang JD, Zhang AL, Song X, Li J, Zheng YQ, Liu L. DW-MRI ADC values can predict treatment response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. Med Oncol. 2012 Jun;29(2):425-31. doi: 10.1007/s12032-011-9842-y. Epub 2011 Feb 1. — View Citation

Sardanelli F, Boetes C, Borisch B, Decker T, Federico M, Gilbert FJ, Helbich T, Heywang-Köbrunner SH, Kaiser WA, Kerin MJ, Mansel RE, Marotti L, Martincich L, Mauriac L, Meijers-Heijboer H, Orecchia R, Panizza P, Ponti A, Purushotham AD, Regitnig P, Del Turco MR, Thibault F, Wilson R. Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer. 2010 May;46(8):1296-316. doi: 10.1016/j.ejca.2010.02.015. Epub 2010 Mar 19. — View Citation

Vinnicombe SJ, MacVicar AD, Guy RL, Sloane JP, Powles TJ, Knee G, Husband JE. Primary breast cancer: mammographic changes after neoadjuvant chemotherapy, with pathologic correlation. Radiology. 1996 Feb;198(2):333-40. — View Citation

Wu LM, Hu JN, Gu HY, Hua J, Chen J, Xu JR. Can diffusion-weighted MR imaging and contrast-enhanced MR imaging precisely evaluate and predict pathological response to neoadjuvant chemotherapy in patients with breast cancer? Breast Cancer Res Treat. 2012 Aug;135(1):17-28. doi: 10.1007/s10549-012-2033-5. Epub 2012 Apr 4. Review. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Apparent diffusion coefficient (ADC) (mm2/sec) Apparent diffusion coefficient (ADC) expressed in mm2/sec. Magnetic resonance images realised with the Ingenia 3 Tesla Engine (Philips) and the Area 1,5 Tesla Engine (Siemens).Post-processing realized with the Syngo Onco Care application of Siemens. Baseline: start of the neo-adjuvant therapy
Primary Apparent diffusion coefficient (ADC) (mm2/sec) Apparent diffusion coefficient (ADC) expressed in mm2/sec. Magnetic resonance images realised with the Ingenia 3 Tesla Engine (Philips) and the Area 1,5 Tesla Engine (Siemens).Post-processing realized with the Syngo Onco Care application of Siemens. One month after the start of the neo-adjuvant therapy
Primary Apparent diffusion coefficient (ADC) (mm2/sec) Apparent diffusion coefficient (ADC) expressed in mm2/sec. Magnetic resonance images realised with the Ingenia 3 Tesla Engine (Philips) and the Area 1,5 Tesla Engine (Siemens).Post-processing realized with the Syngo Onco Care application of Siemens. At the end of the neo-adjuvant therapy (typical duration: 6 months)
Primary Anatomo-pathology classification - histological type The histological type of the tumor will be determined by the Anatomo-Pathology Department of the CHU Brugmann hospital, according to standard of care. The determination will be performed on the initial biopsy samples used for diagnosis and/or on the surgical specimen. Baseline: start of the neo-adjuvant therapy
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