Dynamic Contrast-enhanced MRI Combined With IVIM-DWI for Early Prediction of Chemosensitivity in Liver MBC
DreaminLMBC
Clinical Study of Dynamic Contrast-enhanced Magnetic Resonance Imaging Combined With IVIM-DWI for Early Prediction of Chemosensitivity in Liver Metastasis of Breast Cance
1 other identifier
observational
40
1 country
1
Brief Summary
The purpose of this study is to further use DCE-MRI and ivim-dwi to predict the chemotherapy sensitivity of liver metastasis of breast cancer at an early stage, and to predict the treatment response of tumor at an early stage by using the changes of their functional parameters, and to compare the efficacy and advantages of IVIM functional parameters and DCE-MRI parameters in predicting the efficacy.To explore the efficacy of "perfusion" and "diffusion" parameters of magnetic resonance imaging as "biomarkers" for early prediction of chemotherapy response and prognosis of breast cancer patients with liver metastasis. And to provide guidance for optimizing the clinical treatment scheme of breast cancer patients with liver metastasis. At the same time, this study will use the method of artificial intelligence to deeply mine the images, and further find out the indicators for early prediction of the therapeutic effect of liver metastasis of breast cancer.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Sep 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 16, 2022
CompletedFirst Submitted
Initial submission to the registry
September 18, 2022
CompletedFirst Posted
Study publicly available on registry
September 22, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 16, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2025
CompletedSeptember 27, 2022
September 1, 2022
3 years
September 18, 2022
September 23, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Correlation between DCE-MRI parameters combined with IVIM parameters and short-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
Correlation between DCE-MRI parameters (Ktrans, Ve, Kep) combined with IVIM parameters (D\*, D, f) and short-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
September 2025
Correlation between DCE-MRI parameters combined with IVIM parameters and long-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
Correlation between DCE-MRI parameters (Ktrans, Ve, Kep) combined with IVIM parameters (D\*, D, f) and long-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
September 2025
Secondary Outcomes (2)
The consistency of DCE-MRI parameters and IVIM parameters between different observers and the same observer.
September 2025
Using artificial intelligence method to deeply mine images, find out new indicators to predict the curative effect of liver metastasis treatment of breast cancer in early stage.
September 2025
Study Arms (1)
Patients with liver metastasis from breast cancer requiring antitumor therapy
Patients with liver metastasis from breast cancer requiring antitumor therapy
Interventions
All patients were given 2 cycles of chemotherapy, including the chemotherapy recommended by the clinical treatment guidelines for advanced metastatic breast cancer, which can be combined with targeted or immune or endocrine therapy.
Eligibility Criteria
Patients with liver metastasis from breast cancer requiring at least 2 cycles of systemic chemotherapy
You may qualify if:
- The primary lesion was pathologically confirmed to be breast cancer, and the patients diagnosed by two imaging methods or pathologically confirmed to be liver metastasis of breast cancer had at least one liver metastasis with the longest diameter ≥ 10mm;
- No second primary malignant tumor;
- ECOG score, 0-2 ;
- The organ function is normal and can tolerate chemotherapy and other anti-tumor treatments;
- The patient plans to receive systemic chemotherapy or systemic anti-tumor treatment, and the whole process of cooperative treatment. The patient has good compliance with the planned treatment and follow-up, can understand the research process of this study and sign a written informed consent;
- Contraception during the study period and within 6 months after treatment, non lactation period.
You may not qualify if:
- For patients contraindicated to MR examination, such as built-in metal instruments and allergy to contrast agents;
- The patient had diffuse liver metastasis or the number of liver metastatic tumors was more than 5;
- Patients who cannot complete 2 cycles of chemotherapy or systemic anti-tumor treatment;
- Unable to cooperate with follow-up;
- Patients who are not suitable for the study according to the investigator.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, 310022, China
Related Publications (18)
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PMID: 20498394RESULTGolse N, Adam R. Liver Metastases From Breast Cancer: What Role for Surgery? Indications and Results. Clin Breast Cancer. 2017 Jul;17(4):256-265. doi: 10.1016/j.clbc.2016.12.012. Epub 2017 Jan 9.
PMID: 28196771RESULTVaroquaux A, Rager O, Lovblad KO, Masterson K, Dulguerov P, Ratib O, Becker CD, Becker M. Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV. Eur J Nucl Med Mol Imaging. 2013 Jun;40(6):842-52. doi: 10.1007/s00259-013-2351-9. Epub 2013 Feb 22.
PMID: 23436068RESULTKoh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol. 2007 Jun;188(6):1622-35. doi: 10.2214/AJR.06.1403.
PMID: 17515386RESULTPieper CC, Willinek WA, Meyer C, Ahmadzadehfar H, Kukuk GM, Sprinkart AM, Block W, Schild HH, Murtz P. Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging for Prediction of Early Arterial Blood Flow Stasis in Radioembolization of Breast Cancer Liver Metastases. J Vasc Interv Radiol. 2016 Sep;27(9):1320-1328. doi: 10.1016/j.jvir.2016.04.018. Epub 2016 Jul 9.
PMID: 27402526RESULTMungai F, Pasquinelli F, Mazzoni LN, Virgili G, Ragozzino A, Quaia E, Morana G, Giovagnoni A, Grazioli L, Colagrande S. Diffusion-weighted magnetic resonance imaging in the prediction and assessment of chemotherapy outcome in liver metastases. Radiol Med. 2014 Aug;119(8):625-33. doi: 10.1007/s11547-013-0379-3. Epub 2014 Jan 10.
PMID: 24408046RESULTDoudou NR, Kampo S, Liu Y, Ahmmed B, Zeng D, Zheng M, Mohamadou A, Wen QP, Wang S. Monitoring the Early Antiproliferative Effect of the Analgesic-Antitumor Peptide, BmK AGAP on Breast Cancer Using Intravoxel Incoherent Motion With a Reduced Distribution of Four b-Values. Front Physiol. 2019 Jun 21;10:708. doi: 10.3389/fphys.2019.00708. eCollection 2019.
PMID: 31293432RESULTPieper CC, Meyer C, Sprinkart AM, Block W, Ahmadzadehfar H, Schild HH, Murtz P, Kukuk GM. The value of intravoxel incoherent motion model-based diffusion-weighted imaging for outcome prediction in resin-based radioembolization of breast cancer liver metastases. Onco Targets Ther. 2016 Jul 5;9:4089-98. doi: 10.2147/OTT.S104770. eCollection 2016.
PMID: 27462163RESULTBai G, Wang Y, Zhu Y, Guo L. Prediction of Early Response to Chemotherapy in Breast Cancer Liver Metastases by Diffusion-Weighted MR Imaging. Technol Cancer Res Treat. 2019 Jan 1;18:1533033819842944. doi: 10.1177/1533033819842944.
PMID: 30961445RESULTCho N, Im SA, Park IA, Lee KH, Li M, Han W, Noh DY, Moon WK. Breast cancer: early prediction of response to neoadjuvant chemotherapy using parametric response maps for MR imaging. Radiology. 2014 Aug;272(2):385-96. doi: 10.1148/radiol.14131332. Epub 2014 Apr 13.
PMID: 24738612RESULTJun W, Cong W, Xianxin X, Daqing J. Meta-Analysis of Quantitative Dynamic Contrast-Enhanced MRI for the Assessment of Neoadjuvant Chemotherapy in Breast Cancer. Am Surg. 2019 Jun 1;85(6):645-653.
PMID: 31267907RESULTKannan P, Kretzschmar WW, Winter H, Warren D, Bates R, Allen PD, Syed N, Irving B, Papiez BW, Kaeppler J, Markelc B, Kinchesh P, Gilchrist S, Smart S, Schnabel JA, Maughan T, Harris AL, Muschel RJ, Partridge M, Sharma RA, Kersemans V. Functional Parameters Derived from Magnetic Resonance Imaging Reflect Vascular Morphology in Preclinical Tumors and in Human Liver Metastases. Clin Cancer Res. 2018 Oct 1;24(19):4694-4704. doi: 10.1158/1078-0432.CCR-18-0033. Epub 2018 Jun 29.
PMID: 29959141RESULTDe Bruyne S, Van Damme N, Smeets P, Ferdinande L, Ceelen W, Mertens J, Van de Wiele C, Troisi R, Libbrecht L, Laurent S, Geboes K, Peeters M. Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer. 2012 Jun 5;106(12):1926-33. doi: 10.1038/bjc.2012.184. Epub 2012 May 17.
PMID: 22596235RESULTYu J, Xu Q, Huang DY, Song JC, Li Y, Xu LL, Shi HB. Prognostic aspects of dynamic contrast-enhanced magnetic resonance imaging in synchronous distant metastatic rectal cancer. Eur Radiol. 2017 May;27(5):1840-1847. doi: 10.1007/s00330-016-4532-y. Epub 2016 Sep 5.
PMID: 27595835RESULTAllarakha A, Gao Y, Jiang H, Wang GL, Wang PJ. Predictive ability of DWI/ADC and DCE-MRI kinetic parameters in differentiating benign from malignant breast lesions and in building a prediction model. Discov Med. 2019 Mar;27(148):139-152.
PMID: 31095923RESULTAllarakha A, Gao Y, Jiang H, Wang PJ. Prediction and prognosis of biologically aggressive breast cancers by the combination of DWI/DCE-MRI and immunohistochemical tumor markers. Discov Med. 2019 Jan;27(146):7-15.
PMID: 30695671RESULT
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ping Huang
Zhejiang Cancer Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Professor
Study Record Dates
First Submitted
September 18, 2022
First Posted
September 22, 2022
Study Start
September 16, 2022
Primary Completion
September 16, 2025
Study Completion
December 30, 2025
Last Updated
September 27, 2022
Record last verified: 2022-09