Breast Cancer Clinical Trial
Official title:
Pilot Study: Monitoring of Breast Cancers Treated by Neoadjuvant Therapy Via Diffusion-weighted Magnetic Resonance Imaging
| 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 |
| Verified date | January 2020 |
| Source | Brugmann University Hospital |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
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.
| 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 |
| Country | Name | City | State |
|---|---|---|---|
| Belgium | CHU Brugmann | Brussels |
| Lead Sponsor | Collaborator |
|---|---|
| Brugmann University Hospital |
Belgium,
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
| 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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