Role of Photon Counting CT in Detecting Liver Metastatis From Colorectal Cancer

NCT ID: NCT06753903

Last Updated: 2026-01-15

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

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-03-24

Study Completion Date

2028-03-24

Brief Summary

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Colorectal cancer is the first leading cause of cancer death in men and second in women. Its incidence rates also increased by 1%-2% annually in young adults (ages \<55 years). The liver is the most common site of colorectal cancer metastasis, with approximately 25% 50% of patients developing liver metastases during the disease. Maximising resection of liver metastasis using all available techniques remains a key objective and provides the best chance of long-term survival and cure. For unresectable patients, optimal systemic and locoregional chemotherapeutic, biological and radiotherapeutic treatments improve survival, and may convert initially unresectable patients to operability. Computed Tomography is currently the modality of choice for patients staging and restaging for high spatial resolution providing accurate delineation of lesion, vascular structure and relation with surrounding structure. The portal venous phase (approximately 60-70 s after administration of contrast agent) is the most reliable phase for detection of liver metastasis with a detection rate of 85% with lower performance for lesion \<1 cm which are interpreted as too small to characterize. Compared to computed tomography, MRI has superior soft tissue contrast and the possibly of a multiparametric characterization of lesion thanks to the evaluation of diffusivity and the uptake of hepatospecific contrast media, resulting in higher accuracy also for lesion smaller than \< 10 mm. Photon-counting detector computed tomography (PCD-CT), used as standard clinical practice, by employing a reduced radiation dose, allows the acquisition of ultra-high resolution images (up to 169 microns) and spectral information, with a high detection rate of liver metastases and their characterization.

Therefore, aim of the present study is to evaluate the value of PCD-CT in the detection of liver metastasis from colorectal cancer in comparison to MRI as reference standard.

Detailed Description

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Conditions

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Colorectal Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Interventions

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PCD-CT

Photon-counting detector computed tomography

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* adult (\>18 years)
* non- biopsy-proven colon/colorectal carcinoma
* CT performed on a PCD-CT
* MRI with multiparametric protocol and hepatospecific contrast media

Exclusion Criteria

* pregnancy and breastfeeding
* CT exam performed on a scan different from PCD-CT
* absence of multiparametric MRI
* MRI with non hepatospecific contrast agent
* Absent informed consent signed
Minimum Eligible Age

18 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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IRCCS San Raffaele

OTHER

Sponsor Role lead

Responsible Party

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Antonio Esposito

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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IRCCS San Raffaele

Milan, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Antonio Esposito, MD

Role: CONTACT

0226436102

Facility Contacts

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Antonio Esposito

Role: primary

02 2643 6102

References

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Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024 Jan-Feb;74(1):12-49. doi: 10.3322/caac.21820. Epub 2024 Jan 17.

Reference Type BACKGROUND
PMID: 38230766 (View on PubMed)

Martin J, Petrillo A, Smyth EC, Shaida N, Khwaja S, Cheow HK, Duckworth A, Heister P, Praseedom R, Jah A, Balakrishnan A, Harper S, Liau S, Kosmoliaptsis V, Huguet E. Colorectal liver metastases: Current management and future perspectives. World J Clin Oncol. 2020 Oct 24;11(10):761-808. doi: 10.5306/wjco.v11.i10.761.

Reference Type BACKGROUND
PMID: 33200074 (View on PubMed)

Soyer P, Poccard M, Boudiaf M, Abitbol M, Hamzi L, Panis Y, Valleur P, Rymer R. Detection of hypovascular hepatic metastases at triple-phase helical CT: sensitivity of phases and comparison with surgical and histopathologic findings. Radiology. 2004 May;231(2):413-20. doi: 10.1148/radiol.2312021639. Epub 2004 Mar 24.

Reference Type BACKGROUND
PMID: 15044747 (View on PubMed)

Sahani DV, Bajwa MA, Andrabi Y, Bajpai S, Cusack JC. Current status of imaging and emerging techniques to evaluate liver metastases from colorectal carcinoma. Ann Surg. 2014 May;259(5):861-72. doi: 10.1097/SLA.0000000000000525.

Reference Type BACKGROUND
PMID: 24509207 (View on PubMed)

Vilgrain V, Esvan M, Ronot M, Caumont-Prim A, Aube C, Chatellier G. A meta-analysis of diffusion-weighted and gadoxetic acid-enhanced MR imaging for the detection of liver metastases. Eur Radiol. 2016 Dec;26(12):4595-4615. doi: 10.1007/s00330-016-4250-5. Epub 2016 Feb 16.

Reference Type BACKGROUND
PMID: 26883327 (View on PubMed)

Wang Q, Shi G, Qi X, Fan X, Wang L. Quantitative analysis of the dual-energy CT virtual spectral curve for focal liver lesions characterization. Eur J Radiol. 2014 Oct;83(10):1759-64. doi: 10.1016/j.ejrad.2014.07.009. Epub 2014 Jul 22.

Reference Type BACKGROUND
PMID: 25088350 (View on PubMed)

Other Identifiers

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PCDCRC-D34H

Identifier Type: -

Identifier Source: org_study_id

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