Low Radiation Dose CT Techniques for Liver Disease

CT
Overseen ByCorey T. Jensen, MD
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: M.D. Anderson Cancer Center
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests two new methods to improve CT scans, helping doctors see liver problems more clearly. Special software reduces "image noise," or the fuzzy parts of a picture, making it easier for radiologists to evaluate the liver. The trial compares two levels of reduced radiation during the scan and a technique called Deep Learning Image Reconstruction (DLIR), which enhances image quality. Individuals with colon cancer and liver issues seen in a recent CT scan might be suitable candidates if they are already scheduled for a standard CT scan with contrast. As an unphased trial, this study allows participants to contribute to advancements in imaging technology that could enhance diagnostic accuracy for liver conditions.

Do I need to stop my current medications for the trial?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that these CT techniques are safe for liver imaging?

Research shows that reducing the radiation dose in CT scans can still provide clear images for diagnosing liver problems. Studies indicate that cutting the dose by 50% maintains high image quality and does not significantly increase the risk of radiation-related issues like cancer. Experts consider this 50% reduction safe.

For a 70% dose reduction, while specific data is limited, the general principle remains similar. Lowering radiation is expected to reduce the risk of negative effects while still providing necessary diagnostic information.

Deep Learning Image Reconstruction (DLIR) is another method under testing. It uses advanced software to enhance image quality even with reduced radiation. Research suggests this technique helps doctors identify liver lesions, areas of concern, while minimizing radiation exposure.

Overall, these methods aim to ensure safety by using less radiation without compromising the scan's benefits. The goal is to achieve the best image with the least risk.12345

Why are researchers excited about this trial?

Researchers are excited about this trial because it explores innovative CT scan techniques for liver imaging with significantly reduced radiation exposure. Unlike conventional CT scans that use full radiation doses, this trial investigates scans with 50% and 70% dose reductions, potentially lowering the risk of radiation-induced harm without sacrificing diagnostic quality. Additionally, the trial examines Deep Learning Image Reconstruction (DLIR), a cutting-edge technology that enhances image quality using artificial intelligence, which could lead to more accurate diagnoses. This combination of reduced radiation and advanced imaging technology could revolutionize how liver disease is monitored, offering safer and more precise diagnostic options.

What evidence suggests that these CT techniques are effective for liver disease?

In this trial, participants will join different arms to evaluate various CT scan techniques for liver disease. One arm will use a CT scan with a 50% reduction in radiation. Studies have shown that this maintains good image quality and effectively identifies liver issues. Another arm will test a 70% reduction in radiation. Some research suggests this might lower image quality and diagnostic confidence, but other studies indicate it can perform comparably to standard doses. Additionally, the trial will include an arm using deep learning image reconstruction (DLIR). Research shows that DLIR can enhance image clarity with 65% less radiation, effectively spotting liver problems. DLIR reduces image noise and improves overall image quality, making it a promising option for clearer liver scans.12678

Who Is on the Research Team?

CT

Corey T. Jensen, MD

Principal Investigator

M.D. Anderson Cancer Center

Are You a Good Fit for This Trial?

This trial is for adults aged 18 to 90 with a confirmed diagnosis of colon or colorectal cancer and liver metastases visible on their most recent CT scan. They must be scheduled for a standard care CT abdomen exam with IV contrast and able to give informed consent.

Inclusion Criteria

I am a man or a non-pregnant woman.
I have been diagnosed with colon or colorectal cancer.
My latest CT scan shows cancer has spread to my liver.
See 1 more

Exclusion Criteria

I am unable to understand and agree to the study's procedures and risks.
I cannot have a CT scan.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants undergo routine standard of care CT examination and additional scans at reduced radiation doses

1 day
1 visit (in-person)

Follow-up

Participants are monitored for safety and effectiveness after treatment

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

  • Computed Tomography Scan - 50% Dose Reduction
  • Computed Tomography Scan - 70% Dose Reduction
  • DLIR
Trial Overview The study is testing two different low-dose radiation techniques during a CT scan, using artificial intelligence software called DLIR to reduce image noise. The goal is to determine which method provides clearer images for detecting issues in the liver.
How Is the Trial Designed?
3Treatment groups
Experimental Treatment
Group I: Deep Learning Image Reconstruction (DLIR)Experimental Treatment1 Intervention
Group II: Computed tomography Scan - 70% Dose ReductionExperimental Treatment1 Intervention
Group III: Computed Tomography Scan - 50% Dose ReductionExperimental Treatment1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

M.D. Anderson Cancer Center

Lead Sponsor

Trials
3,107
Recruited
1,813,000+

Citations

Image quality, diagnostic performance of reduced-dose ...In this study, we evaluated the image quality and diagnostic performance of 50% RD CT for low-contrast colorectal liver metastasis (CRLM) with ...
Ultra-low-dose hepatic computed tomography with a novel ...The results revealed a remarkable 73.3% reduction in the radiation dose with the 50 ... Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver ...
Reduced-Dose Deep Learning Reconstruction for ...Deep learning image reconstruction (DLIR) improved CT image quality at 65% radiation dose reduction while preserving detection of liver lesions larger than 0.5 ...
Dual-Source Contrast-Enhanced Multiphasic CT of the ...This study investigated the feasibility of both a reduced radiation dose and a 50% of contrast dose in multiphasic CT of the liver with a 70 kVp protocol.
Potential of artificial intelligence for radiation dose ...The analysis of potential dose reduction for various CT exams revealed a mean reduction of 57.3 %, with a median value of 51.5 %. The standard deviation was ...
CT Scans and Cancer Risks: A Systematic Review and Dose ...This study aimed to identify the association of cumulative ionizing radiation from CT scans with pertaining cancer risks in adults.
Popular CT Scans Could Account for 5% of All Cancer ...CT scans may account for 5% of all cancers annually, according to a new study that cautions against overusing and overdosing CTs.
Reducing the Radiation Dose for CT Colonography Using ...The results of this pilot study show that the radiation dose during CTC can be reduced 50% below currently accepted low-dose techniques without significantly ...
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