MRE for Assessment of Histopathological Growth Patterns in Colorectal Liver Metastases

NCT ID: NCT06208397

Last Updated: 2025-05-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-24

Study Completion Date

2026-12-24

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Metastatic Colorectal Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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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.

Magnetic Resonance Elastography and routine MRI

Intervention Type DIAGNOSTIC_TEST

Assessed boundary conditions through MRE-base SII before surgery and recorded HGP of tumor after surgery.

Interventions

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Magnetic Resonance Elastography and routine MRI

Assessed boundary conditions through MRE-base SII before surgery and recorded HGP of tumor after surgery.

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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MRE

Eligibility Criteria

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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)
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Shengjing Hospital

OTHER

Sponsor Role lead

Responsible Party

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Yu Shi

Deputy director of department of radiology

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yu Shi, M.D.

Role: PRINCIPAL_INVESTIGATOR

Shengjing Hospital

Locations

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Shengjing Hospital of China Medical University

Shenyang, Liaoning, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yu Shi, M.D.

Role: CONTACT

18940259980

Facility Contacts

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Yu Shi, MD

Role: primary

+8618940259980

References

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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.

Reference Type BACKGROUND
PMID: 35650276 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27748747 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 35147777 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 33852045 (View on PubMed)

Other Identifiers

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ShengjingH-CRLM2023

Identifier Type: -

Identifier Source: org_study_id

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