Role of Photon Counting CT in Detecting Liver Metastatis From Colorectal Cancer (PCDCRC-D34H)

January 14, 2026 updated by: Antonio Esposito, IRCCS San Raffaele

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

100

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

Study Locations

      • Milan, Italy, 20132
        • Recruiting
        • IRCCS San Raffaele
        • Contact:
          • Antonio Esposito
          • Phone Number: 02 2643 6102

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

N/A

Sampling Method

Non-Probability Sample

Study Population

100 patients with colorectal cancer and liver metastasis

Description

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

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
PCD-CT predictor of response to treatment in patients candidate to chemotherapy
Time Frame: 3 years
3 years
The non-inferiority of PCD-CT compared to MRI in identifying liver metastases from colorectal cancer
Time Frame: 3 years
3 years

Secondary Outcome Measures

Outcome Measure
Time Frame
the utility of machine learning-driven texture analysis in detecting prognostic imaging biomarkers for liver metastasis survival, with predictive performance measured by the concordance index.
Time Frame: 3 years
3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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

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)

March 24, 2025

Primary Completion (Estimated)

March 24, 2028

Study Completion (Estimated)

March 24, 2028

Study Registration Dates

First Submitted

December 23, 2024

First Submitted That Met QC Criteria

December 23, 2024

First Posted (Actual)

December 31, 2024

Study Record Updates

Last Update Posted (Actual)

January 15, 2026

Last Update Submitted That Met QC Criteria

January 14, 2026

Last Verified

December 1, 2025

More Information

Terms related to this study

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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