- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06208397
MRE for Assessment of Histopathological Growth Patterns in Colorectal Liver Metastases
January 6, 2024 updated by: Yu Shi, Shengjing Hospital
Noninvasive Evaluation in Diagnosis and Treatment of Histopathological Growth Patterns in Colorectal Liver Metastases Using MR Elastography-based Shear Strain Mapping
The goal of this study is to investigate the value of MR elastography-based SII as a means of detecting HGP noninvasively in patients with pathology-proven CRLM.
MRE will provide a direct measure of tumor-liver adhesion to investigate the relationship between imaging findings and pathophysiological changes in the Liver.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
Colorectal cancer ranks third in terms of incidence and second in terms of mortality among all cancers on the global cancer burden, based on the GLOBOCAN 2020 estimates.
Among people diagnosed with colorectal cancer, 20% have metastatis, and 40% present with recurrence after previously treated localized disease.
Liver is the most common site of metastasis besides lymph nodes, with a 5-year survival rate of less than 20%.
Histopathological growth patterns (HGPs) appear at the interface between the tumour border and surrounding liver parenchyma which can be identified by light microscopy on tissue sections.
Three primary HGPs have been identified: desmoplastic HGP (dHGP), replacement HGP and the pushing HGP.
In the dHGP, the cancer cells are separated from the liver by a capsule of desmoplastic stroma in which new blood vessels are formed by sprouting angiogenesis.
Recently, it has been reported that dHGP is linked to a better outcome in terms of survival and more clinical benefit achieved with preoperative anti-angiogenic therapy in patients with colorectal cancer liver metastasis (CRLM).
Thus, planning of preoperative treatment might greatly benefit from HGP prediction.
Preoperative prediction of HGP is challenging, however, as HGP is a histopathologic finding that can be diagnosed only with a postoperative surgical specimen.
Previous studies have made many efforts to identify HGP through radiologic features (e.g., tumor margin, perilesional rim enhancement, or fused radiomics signature) by CT or MRI.
However, high variability was observed in the assessment of these imaging characteristics, and they did not provide a direct measure of tumor-liver adhesion, leading to controversy in clinical practice.
Recently, an MRE-based technique, termed "slip interface imaging" (SII), has been used to quantify the degree of tumor-peritumoral tissue adhesion in brain tumors and microvascular invasion in hepatocellular carcinoma noninvasively, may have the potential to characterize the mechanical characteristics of the tumor-liver interface and predict HGP of CRLM.
Study Type
Observational
Enrollment (Estimated)
50
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Yu Shi, M.D.
- Phone Number: 18940259980
- Email: 18940259980@163.com
Study Locations
-
-
Liaoning
-
Shenyang, Liaoning, China, 110004
- Recruiting
- Shengjing Hospital of China Medical University
-
Contact:
- Yu Shi, MD
- Phone Number: +8618940259980
- Email: 18940259980@163.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Probability Sample
Study Population
Study subject inclusion criteria were adult patients with CRLM.
Description
Inclusion Criteria:
- Diagnosed CRLM
- Pathologic results obtained in surgical patients
- No contraindications for magnetic resonance imaging examination
Exclusion Criteria:
- Image quality does not meet the measurement requirements.
- the diameter of CRLM <1cm
- Combined with other important organ dysfunction
- Combined with malignant tumor
- Patients who do not sign an informed consent
- Patients with metallic implants or foreign bodies in their bodies (pacemakers, artificial metallic heart valves, metal joints, metal implants, and those who cannot remove dentures, insulin pumps, or contraceptive rings)
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Experimental: Diagnostic (MRE)
Patients undergo a preoperative routine MRI scan and MRE the day before their scheduled surgery to assess OSS and NOSS.
After surgery, the HGP of tumor will be assessed by H&E-stained sections.
|
Assessed boundary conditions through MRE-base SII before surgery and recorded HGP of tumor after surgery.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Radiological assessment of CRLM
Time Frame: Baseline to 6 weeks
|
Examinations were performed on a 3.0T MRI.
Mechanical vibration frequencies of 30 and 60 Hz were applied in synchrony with the MRE pulse sequence.
Regions of interest (ROIs) were placed manually in the liver.
The performance of the use of SII to predict HGP of tumor was evaluated with the Wilcoxon rank sum, 1-way ANOVA, and Tukey-Kramer tests.
|
Baseline to 6 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Yu Shi, M.D., Shengjing Hospital
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Yin Z, Lu X, Cohen Cohen S, Sui Y, Manduca A, Van Gompel JJ, Ehman RL, Huston J 3rd. A new method for quantification and 3D visualization of brain tumor adhesion using slip interface imaging in patients with meningiomas. Eur Radiol. 2021 Aug;31(8):5554-5564. doi: 10.1007/s00330-021-07918-6. Epub 2021 Apr 14.
- Latacz E, Hoppener D, Bohlok A, Leduc S, Tabaries S, Fernandez Moro C, Lugassy C, Nystrom H, Bozoky B, Floris G, Geyer N, Brodt P, Llado L, Van Mileghem L, De Schepper M, Majeed AW, Lazaris A, Dirix P, Zhang Q, Petrillo SK, Vankerckhove S, Joye I, Meyer Y, Gregorieff A, Roig NR, Vidal-Vanaclocha F, Denis L, Oliveira RC, Metrakos P, Grunhagen DJ, Nagtegaal ID, Mollevi DG, Jarnagin WR, D'Angelica MI, Reynolds AR, Doukas M, Desmedt C, Dirix L, Donckier V, Siegel PM, Barnhill R, Gerling M, Verhoef C, Vermeulen PB. Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights. Br J Cancer. 2022 Oct;127(6):988-1013. doi: 10.1038/s41416-022-01859-7. Epub 2022 Jun 1.
- Frentzas S, Simoneau E, Bridgeman VL, Vermeulen PB, Foo S, Kostaras E, Nathan M, Wotherspoon A, Gao ZH, Shi Y, Van den Eynden G, Daley F, Peckitt C, Tan X, Salman A, Lazaris A, Gazinska P, Berg TJ, Eltahir Z, Ritsma L, Van Rheenen J, Khashper A, Brown G, Nystrom H, Sund M, Van Laere S, Loyer E, Dirix L, Cunningham D, Metrakos P, Reynolds AR. Vessel co-option mediates resistance to anti-angiogenic therapy in liver metastases. Nat Med. 2016 Nov;22(11):1294-1302. doi: 10.1038/nm.4197. Epub 2016 Oct 17.
- Li M, Yin Z, Hu B, Guo N, Zhang L, Zhang L, Zhu J, Chen W, Yin M, Chen J, Ehman RL, Wang J. MR Elastography-Based Shear Strain Mapping for Assessment of Microvascular Invasion in Hepatocellular Carcinoma. Eur Radiol. 2022 Jul;32(7):5024-5032. doi: 10.1007/s00330-022-08578-w. Epub 2022 Feb 11.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 24, 2023
Primary Completion (Estimated)
December 24, 2024
Study Completion (Estimated)
December 24, 2025
Study Registration Dates
First Submitted
January 6, 2024
First Submitted That Met QC Criteria
January 6, 2024
First Posted (Actual)
January 17, 2024
Study Record Updates
Last Update Posted (Actual)
January 17, 2024
Last Update Submitted That Met QC Criteria
January 6, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- ShengjingH-CRLM2023
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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