Colorectal CancerPCDCRC-D34HNCT06753903
Role of Photon Counting CT in Detecting Liver Metastatis From Colorectal Cancer
An observational study of Colorectal Cancer, run by IRCCS San Raffaele at 1 site in Italy.
Trial summary
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… Read more about this study
- Who is it for?
- Ages 18 to 100 years
- Conditions the study is for
- Colorectal Cancer
- What is being tested?
- PCD-CT
- Type of treatment
- Surgery or procedure
- How many people
- 100 participants
- Where
- 1 siteItaly
- Study dates
- 24 Mar 2025to 24 Mar 2028
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 100 years
- All sexes
- Adult, Older adult
Study population: 100 patients with colorectal cancer and liver metastasis
Who may be able to join
- adult (>18 years)
- non- biopsy-proven colon/colorectal carcinoma
- CT performed on a PCD-CT
- MRI with multiparametric protocol and hepatospecific contrast media
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Italy1 site, 1 recruiting
- Recruiting
IRCCS San Raffaele
Milan, 20132
Antonio Esposito, 02 2643 6102
About this study
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.
- Conditions
- Colorectal Cancer
- Being tested
- PCD-CT
- Medical subject headings
- Colorectal Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
PCD-CTProcedure or surgery
Photon-counting detector computed tomography
What is being measured
The primary outcome is the main question the study is designed to answer.
PCD-CT predictor of response to treatment in patients candidate to chemotherapy
Measured: 3 years
The non-inferiority of PCD-CT compared to MRI in identifying liver metastases from colorectal cancer
Measured: 3 years
Secondary outcomes (1)
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.
Measured: 3 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Dec 2024
- Study start24 Mar 2025
- Primary completion24 Mar 2028 (estimated)
- Study completion24 Mar 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (6)Papers the sponsor has linked to this study.
- Other trials for Colorectal CancerStudies of the same condition, open and under way.
- More trials run by IRCCS San RaffaeleThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Other
- Enrolment
- 100 participants (estimated)
Sponsor and investigators
- Lead sponsor
- IRCCS San Raffaele
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Antonio Esposito, IRCCS San Raffaele
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06753903
- Sponsor's protocol ID
- PCDCRC-D34H
- Acronym
- PCDCRC-D34H
- Status last verified
- Dec 2025
- First submitted
- 23 Dec 2024
- Last updated
- 15 Jan 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
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.
PubMed 38230766Martin 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.
PubMed 33200074Soyer 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.
PubMed 15044747Sahani 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.
PubMed 24509207Vilgrain 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.
PubMed 26883327Wang 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.
PubMed 25088350
Study at a glance
From the registry record, last updated by the sponsor on 15 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Role of Photon Counting CT in Detecting Liver Metastatis From Colorectal Cancer
- ClinicalTrials.gov ID
- NCT06753903
- Acronym / sponsor ID
- PCDCRC-D34H / PCDCRC-D34H
- Conditions
- Colorectal Cancer
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 100 participants (estimated)
- Lead sponsor
- IRCCS San RaffaeleUniversity, hospital or other
- Study start
- 24 Mar 2025 (actual)
- Primary completion
- 24 Mar 2028 (estimated)
- Study completion
- 24 Mar 2028 (estimated)
- First posted
- 31 Dec 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Other
Who may qualify
- Ages
- 18 to 100 years
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- 100 patients with colorectal cancer and liver metastasis
Key inclusion criteria (4 listed)
- adult (>18 years)
- non- biopsy-proven colon/colorectal carcinoma
- CT performed on a PCD-CT
- MRI with multiparametric protocol and hepatospecific contrast media
Key exclusion criteria (5 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| PCD-CTPhoton-counting detector computed tomography | Procedure or surgery | – |
Primary outcome
PCD-CT predictor of response to treatment in patients candidate to chemotherapy
Time frame: 3 years
The non-inferiority of PCD-CT compared to MRI in identifying liver metastases from colorectal cancer
Time frame: 3 years
1 secondary outcome
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
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Jan 2026.
- Background: PubMed 38230766Siegel 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.
- Background: PubMed 33200074Martin 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.
- Background: PubMed 15044747Soyer 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.
- Background: PubMed 24509207Sahani 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.
- Background: PubMed 26883327Vilgrain 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.
- Background: PubMed 25088350Wang 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Colorectal Cancer, run by IRCCS San Raffaele at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 15 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Antonio Esposito, MD (0226436102, esposito.antonio@hsr.it), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
PCD-CT predictor of response to treatment in patients candidate to chemotherapy (time frame: 3 years). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06753903, which also lists 6 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Jan 2026.