Feasibility Study Incorporating Lung Function Imaging Into Radiation Therapy for Lung Cancer Patients

NCT ID: NCT02528942

Last Updated: 2021-07-22

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

101 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-04-22

Study Completion Date

2021-01-25

Brief Summary

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The proposed study is in the field of thoracic radiation oncology where radiation therapy is used to treat lung cancer. The primary objective of the early phase clinical trial will be to evaluate the safety of performing functional avoidance radiation therapy for lung cancer patients using 4D computed tomography (4DCT) ventilation imaging.

Detailed Description

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This study plans to learn more about radiation therapy. Radiation therapy is one of the main treatments used to treat lung cancer. One of the known side effects of this radiation therapy is scarring of the lungs and reduced lung function that can result in shortness of breath. At this time the radiation treatment plan does not take into account differences in lung function between one part of the lung and another. Studies have shown that lung function can vary substantially throughout the lungs. This study aims to plan the radiation therapy to be away from the highest functioning portions of lungs while still delivering the intended radiation dose to the tumor. This study will allow researchers to determine whether taking lung function information into account when designing radiation treatment plans can protect lung function after radiation therapy.

Conditions

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Lung Neoplasms Lung Cancer

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Radiation therapy

The functional avoidance radiation therapy plan will be delivered using a standard course of radiation treatment on a linear accelerator. Patients will receive daily radiation treatment for 15-35 days.

Group Type EXPERIMENTAL

Radiation therapy

Intervention Type RADIATION

Radiation therapy will be given to study patients.

Interventions

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Radiation therapy

Radiation therapy will be given to study patients.

Intervention Type RADIATION

Eligibility Criteria

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Inclusion Criteria

1. Diagnosis of pathologically confirmed lung cancer by tumor biopsy and/or fine-need aspiration
2. Lung Cancer patients that will undergo definitive radiation therapy defined as 45-75 Gy as part of standard of care for their disease
3. 18 years of age or older
4. Signed informed consent
5. Planned curative intent chemotherapy, delivered concurrently or sequentially in combination with radiotherapy
6. The patient's 4DCT-ventilation image meets image heterogeneity criteria

Exclusion Criteria

1. Patients receiving Stereotactic Body Radiation Therapy
2. Patient receiving palliative radiation therapy (defined as less than 45 Gy)
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Cancer Institute (NCI)

NIH

Sponsor Role collaborator

University of Colorado, Denver

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Yevgeniy Vinogradskiy, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Colorado, Denver

Locations

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University of Colorado Cancer Center

Aurora, Colorado, United States

Site Status

Beaumont Health System

Royal Oak, Michigan, United States

Site Status

Countries

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United States

References

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Poiset SJ, Lombardo J, Castillo E, Castillo R, Jones B, Miften M, Kavanagh B, Dicker AP, Boyle C, Simone NL, Movsas B, Grills I, Rusthoven CG, Vinogradskiy Y, Wilson L. Patient-Reported Outcomes: Comparing Functional Avoidance and Standard Thoracic Radiation Therapy in Lung Cancer. JCO Clin Cancer Inform. 2025 Feb;9:e2400202. doi: 10.1200/CCI-24-00202. Epub 2025 Feb 4.

Reference Type DERIVED
PMID: 39903899 (View on PubMed)

Porter EM, Myziuk NK, Quinn TJ, Lozano D, Peterson AB, Quach DM, Siddiqui ZA, Guerrero TM. Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning. Phys Med Biol. 2021 Aug 23;66(17). doi: 10.1088/1361-6560/ac16ec.

Reference Type DERIVED
PMID: 34293726 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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1R01CA200817-01

Identifier Type: NIH

Identifier Source: secondary_id

View Link

14-1856.cc

Identifier Type: -

Identifier Source: org_study_id

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