20 Participants Needed

Adaptive Radiation for Anal Cancer

MR
CC
Overseen ByChristina Chesnakov
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Columbia University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)
Approved in 2 JurisdictionsThis treatment is already approved in other countries

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to test a new method of using radiation therapy to treat advanced anal squamous cell cancer. By adjusting the radiation dose daily based on changes in the tumor and the patient's body, the researchers aim to better target the cancer while protecting nearby healthy organs. Participants will receive both chemotherapy and adaptive radiation therapy (Artificial Intelligence Guided Daily Radiotherapy Treatment Planning and Delivery). Individuals with a confirmed diagnosis of advanced anal cancer who have not received previous chemotherapy or radiation for it might be suitable for this study.

As an unphased trial, this study provides a unique opportunity to explore innovative treatment methods that could enhance future cancer care.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.

What prior data suggests that this adaptive radiation therapy is safe for treating anal cancer?

Research shows that artificial intelligence (AI) in radiation therapy can enhance treatment planning and delivery. This approach may target tumors more accurately while protecting healthy tissues. Although early studies have not focused on safety, they have demonstrated that AI-guided methods can create superior treatment plans compared to traditional methods.

AI-guided adaptive radiotherapy represents a new approach. It uses daily scans to adjust the radiation dose based on changes in the tumor and body, aiming to make treatment safer and more effective. While specific safety data is not yet available, the AI technology is designed to improve precision, potentially reducing side effects.

Currently, there are no reports of major safety concerns with AI-guided radiotherapy. However, as this is a pilot study, further research is necessary to fully understand its safety in humans.12345

Why are researchers excited about this trial?

Researchers are excited about this trial because it explores using artificial intelligence (AI) to guide daily radiotherapy treatment planning and delivery for anal cancer. Unlike traditional methods that rely on pre-set plans, AI can adapt the radiation treatment based on daily changes in the patient's anatomy, potentially increasing precision and effectiveness. This adaptive approach aims to maximize tumor targeting while minimizing damage to surrounding healthy tissues, offering a promising improvement over existing standard care.

What evidence suggests that Artificial Intelligence Guided Daily Radiotherapy Treatment Planning and Delivery is effective for anal cancer?

Research has shown that artificial intelligence (AI) in radiotherapy can customize treatments to fit each patient's body. In this trial, participants will receive AI-guided adaptive radiotherapy, allowing for daily adjustments based on shifts in the tumor or patient's body. Studies have found that AI can automatically plan and adjust radiation doses, potentially targeting tumors more precisely while protecting healthy tissue. Compared to current clinical practices, this method may improve treatment effectiveness. For anal cancer, this could lead to better tumor targeting and fewer side effects from radiation.23456

Who Is on the Research Team?

LK

Lisa Kachnic, MD

Principal Investigator

Principal Investigator

Are You a Good Fit for This Trial?

This trial is for adults with advanced anal squamous cell cancer, who are in good health otherwise and have not had prior treatments for this cancer. They must be able to perform daily activities without significant assistance (ECOG ≤2) and agree to use contraception during the study.

Inclusion Criteria

Agreement to use adequate contraception, understanding of informed consent document
Life expectancy of greater than 12 months
My cancer is a specific type of anal cancer.
See 3 more

Exclusion Criteria

I have had all of my tumor surgically removed.
Prior allergic reaction to 5-Fluorouracil or mitomycin C
Presence of artificial organ prosthetics, pacemakers or other implantable devices
See 6 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants receive concurrent chemotherapy and adaptive radiation treatment for anal cancer

6 weeks
5 visits per week (in-person)

Follow-up

Participants are monitored for safety and effectiveness after treatment

1 month

Long-term follow-up

Participants are monitored for complete clinical response and long-term outcomes

6 months

What Are the Treatments Tested in This Trial?

Interventions

  • 5-Fluorouracil
  • Artificial Intelligence Guided Daily Radiotherapy Treatment Planning and Delivery
  • Capecitabine
  • Mitomycin-C
Trial Overview The study tests a new approach using AI-guided radiation therapy tailored daily, combined with chemotherapy drugs like 5-Fluorouracil, Capecitabine, or Mitomycin-C. It aims to improve targeting of the tumor while protecting healthy tissue.
How Is the Trial Designed?
1Treatment groups
Experimental Treatment
Group I: Chemotherapy and Adaptive Radiation Treatment PlanningExperimental Treatment4 Interventions

Artificial Intelligence Guided Daily Radiotherapy Treatment Planning and Delivery is already approved in European Union, United States for the following indications:

🇪🇺
Approved in European Union as Adaptive Radiation Therapy for:
🇺🇸
Approved in United States as Adaptive Radiation Therapy for:

Find a Clinic Near You

Who Is Running the Clinical Trial?

Columbia University

Lead Sponsor

Trials
1,529
Recruited
2,832,000+

Varian

Collaborator

Trials
5
Recruited
380+

Varian Medical Systems

Industry Sponsor

Trials
63
Recruited
3,700+

Dow R. Wilson

Varian Medical Systems

Chief Executive Officer since 2012

MBA from Dartmouth's Amos Tuck School of Business, BA from Brigham Young University

Dr. Deepak Khuntia

Varian Medical Systems

Chief Medical Officer since 2020

MD from the University of Cambridge, PhD from the University of Leicester

Published Research Related to This Trial

The adaptive radiotherapy (ART) strategy maintained excellent target volume coverage (99.0%) compared to the non-adaptive approach (98.3%), indicating its efficacy in delivering precise treatment for rectal cancer.
ART significantly reduced radiation exposure to the small bowel and bladder during long treatment schedules, suggesting a safer option for patients by minimizing potential side effects, although the absolute differences were small.
Dosimetric benefit of an adaptive treatment by means of plan selection for rectal cancer patients in both short and long course radiation therapy.de Jong, R., Visser, J., Crama, KF., et al.[2020]
Daily adaptive radiation therapy (ART) for non-small cell lung cancer (NSCLC) can effectively reduce lung exposure while maintaining adequate coverage of the tumor target volume, as shown in a study involving 13 patients and various treatment planning scenarios.
The study found that ART allows for dose escalation to the tumor without increasing the risk of damage to surrounding healthy tissues, suggesting a potential for improved local tumor control while minimizing toxicity.
Dosimetric benefits of adaptive radiation therapy for patients with stage III non-small cell lung cancer.Hoppen, L., Sarria, GR., Kwok, CS., et al.[2023]
The fully automated adaptive planning (AAP) method effectively compensates for anatomical changes in prostate cancer patients during radiation therapy, ensuring acceptable target coverage for most patients.
Compared to conventional planning methods, the AAP method significantly reduces radiation exposure to critical organs like the rectum and bladder, improving safety while maintaining effective treatment for the tumor.
A fully automated method for CT-on-rails-guided online adaptive planning for prostate cancer intensity modulated radiation therapy.Li, X., Quan, EM., Li, Y., et al.[2020]

Citations

The role of artificial intelligence in radiotherapy clinical practiceWe will discuss how AI has a place in the modern radiotherapy workflow at the level of automatic segmentation and planning, two applications which have seen ...
Role of Adaptive Radiotherapy in Modern Anal Cancer ...Online adaptive workflows in both MRI- and CBCT-guided systems follow several key stages: initial CT or MRI simulation, initial contouring and ...
Machine learning automated treatment planning for online ...This study validates the use of machine learning (ML) automated RT treatment plan adaptation and benchmarks it against current clinical RT plan adaptation ...
Artificial intelligence in radiation oncology treatment planningThe goal of this review is to give a brief overview on the role of AI in radiation treatment planning and related applications.
November 01, 2022An optimal solution study on a non-invasive stereotactic radiosurgery instrument optimizer for stereotactic radiosurgery of single brain metastasis.
Online adaptive radiotherapy of anal cancer: Normal tissue ...This study evaluates dosimetric benefits, compared to standard non-adaptive radiotherapy (non-ART), target propagation methods, and first clinical treatments ...
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