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DMH-Based Plan Evaluation and Inverse Optimization in Radiotherapy

DMH-Based Plan Evaluation and Inverse Optimization in Radiotherapy

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02663817
Enrollment
52
Registered
2016-01-26
Start date
2015-06-19
Completion date
2019-04-04
Last updated
2020-02-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Head and Neck Cancer, Lung Cancer, Prostate Cancer

Brief summary

The hypotheses of the study are as follows: * Mass-based inverse optimization in radiotherapy treatment planning will result in a reduction of normal tissue and organs at risk (OAR) doses for desired prescription therapeutic doses to the targets. * Dose-mass histograms (DMHs) may be more relevant to radiotherapy treatment planning and treatment plan assessment than the standard of care, realized through dose-volume histograms (DVHs)

Detailed description

Cancer patients continue to represent a challenging disease population, which faces rather poor prognosis with current treatment planning and delivery practices. Venues for a potential dose escalation and/or increased healthy tissue sparing, through innovative therapeutic approaches for those patients, are clearly needed. Current state of the art radiotherapy treatment planning relies on the dose-volume-histogram (DVH) paradigm, where doses to fractional (most often) or absolute volumes of anatomical structures are employed in both optimization and plan evaluation process. It has been argued however, that the effects of delivered dose seem to be more closely related to healthy tissue toxicity (and thereby to clinical outcomes) when dose-mass-histograms (DMHs) are considered in treatment plan evaluation. The investigators propose the incorporation of mass and density information explicitly into the cost functions of the inverse optimization process, thereby shifting from DVH to DMH treatment planning paradigm. This novel DMH-based intensity modulated radiotherapy (IMRT) optimization aims in minimization of radiation doses to a certain mass, rather than a volume, of healthy tissue. The investigators' working hypothesis is that DMH- optimization will reduce doses to healthy tissue substantially. In certain cases, with extensive, difficult to treat disease, lower doses to healthy tissue can be used for isotoxic dose escalation, which may result in an increase in estimated loco-regional tumor control probability. To test the study hypothesis, the investigators will pursue the following specific aims: * (1) Develop the theoretical and computational framework of the DMH-based IMRT optimization. This framework will incorporate 3D and 4D IMRT as well as 3D volumetric modulated arc (VMAT) planning for different anatomical sites. * (2) Investigate different parametric forms for DMH-optimization functions. The ultimate goal would be the simultaneous minimization of healthy tissue doses and/or escalation of therapeutic doses, without violating the established dosimetric tolerances for healthy anatomical structures. * (3) Practical implementation and application of this novel optimization paradigm, where virtual clinical trials for cohorts of lung, head-and-neck, and prostate cancer cases will be performed. Statistical significance of the DMH-optimization dosimetric improvements over standard of care DVH-optimization will be quantified. Prospective 3D and 4D CT data collection will be used to study the interactions between tumor time-trending changes and DMH-based optimization results. 4D CT data will also be used to investigate and quantify the correlation between DMH-based end points and the loss of pulmonary function during and after radiotherapy treatment. The deliverability (with the existing radiotherapy treatment equipment) of the investigators' 3D VMAT and 3D/4D IMRT plans will be experimentally verified, thereby paving the road for initiation of clinical trials.

Interventions

DEVICECT Scan

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
University of Miami
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients must have histologically confirmed head-and-neck, lung, or prostate tumors. * Patients who will be treated with radiation therapy or concurrent chemoradiation therapy. * Gross Tumor Volume (GTV) or resection cavity must be visible on CT such that it can be delineated as a target for radiotherapy. * Patients who are able to understand the investigational nature of this study and agree to sign a written informed consent document.

Exclusion criteria

* Pregnant or nursing women will not participate. Women of reproductive potential must be offered a pre-treatment pregnancy test and informed of the need to practice an effective contraceptive method during the therapy. * Patients younger than 18 years. * Patients whose size and weight would not allow CT scanning. * No vulnerable populations (fetuses, pregnant women, children, prisoners) will be included in this study.

Design outcomes

Primary

MeasureTime frameDescription
Percent Change in Radiation Dose to Healthy Human Tissue.Baseline, up to three years.The study is computational in nature. A new treatment planning paradigm is proposed, where from the newly proposed treatment plans, and the treatment plans generated with the standard of care, radiation doses to different organs and tissues would be derived. Radiotherapy toxicity (to healthy human tissue) is proportional to radiation dose - more radiation dose results in higher toxicity. Thereby, if radiation dose is decreased, the toxicity would also be decreased. The dosimetric differences which the investigators observe between the standard of care and their novel optimization approach are reported as percent change with respect to the standard of care.

Countries

United States

Participant flow

Participants by arm

ArmCount
IMRT
Study participants being treated according to the standard of care with intensity modulated radiotherapy (IMRT). Several CT scans will be performed for each enrolled subject: one before the radiotherapy course for patient treatment planning purposes (as part of the standard of care), one during the radiotherapy treatment course (between fraction 10 and 20), and one at follow up visit or at least 6 weeks post-radiotherapy treatment (whichever comes first).
52
Total52

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyScreen failure2

Baseline characteristics

CharacteristicIMRT
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
27 Participants
Age, Categorical
Between 18 and 65 years
25 Participants
Disease site
Head and neck
27 Participants
Disease site
Lung
16 Participants
Disease site
Prostate
9 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
29 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
23 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
9 Participants
Race (NIH/OMB)
More than one race
2 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants
Race (NIH/OMB)
White
39 Participants
Sex: Female, Male
Female
16 Participants
Sex: Female, Male
Male
36 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 0
other
Total, other adverse events
0 / 0
serious
Total, serious adverse events
0 / 0

Outcome results

Primary

Percent Change in Radiation Dose to Healthy Human Tissue.

The study is computational in nature. A new treatment planning paradigm is proposed, where from the newly proposed treatment plans, and the treatment plans generated with the standard of care, radiation doses to different organs and tissues would be derived. Radiotherapy toxicity (to healthy human tissue) is proportional to radiation dose - more radiation dose results in higher toxicity. Thereby, if radiation dose is decreased, the toxicity would also be decreased. The dosimetric differences which the investigators observe between the standard of care and their novel optimization approach are reported as percent change with respect to the standard of care.

Time frame: Baseline, up to three years.

Population: Two participants with prostate cancer were screen failures.

ArmMeasureGroupValue (MEAN)
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Energy - Lungs10.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Dmh - Spinal Cord31.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Dmh - Esophagus25.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Dmh - Lungs2.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Energy - Heart11.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Energy - Spinal Cord24.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Dmh - Heart3.0 Percent change in radiation dose
IMRT LungPercent Change in Radiation Dose to Healthy Human Tissue.Energy - Esophagus16.0 Percent change in radiation dose
IMRT ProstatePercent Change in Radiation Dose to Healthy Human Tissue.Energy Prostate - Lt Femur D1032.7 Percent change in radiation dose
IMRT ProstatePercent Change in Radiation Dose to Healthy Human Tissue.Energy Prostate - Bladder D152.0 Percent change in radiation dose
IMRT ProstatePercent Change in Radiation Dose to Healthy Human Tissue.Energy Prostate - Bladder D256.5 Percent change in radiation dose
IMRT ProstatePercent Change in Radiation Dose to Healthy Human Tissue.Energy Prostate - Rectum D151.7 Percent change in radiation dose
IMRT ProstatePercent Change in Radiation Dose to Healthy Human Tissue.Energy Prostate - Rectum D255.0 Percent change in radiation dose
IMRT ProstatePercent Change in Radiation Dose to Healthy Human Tissue.Energy Prostate - Rt Femur D1032.5 Percent change in radiation dose
IMRT Head and NeckPercent Change in Radiation Dose to Healthy Human Tissue.Energy for HN - Brainstem11.0 Percent change in radiation dose
IMRT Head and NeckPercent Change in Radiation Dose to Healthy Human Tissue.Energy for HN - Larynx9.0 Percent change in radiation dose
IMRT Head and NeckPercent Change in Radiation Dose to Healthy Human Tissue.Energy for HN - Lt Parotid14.0 Percent change in radiation dose
IMRT Head and NeckPercent Change in Radiation Dose to Healthy Human Tissue.Energy for HN - Rt Parotid13.0 Percent change in radiation dose
IMRT Head and NeckPercent Change in Radiation Dose to Healthy Human Tissue.Energy - Spinal Cord7.0 Percent change in radiation dose

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026