Evaluation of 3D Surface Scanning for Virtual-CT Based Radiation Therapy Treatment Planning

3D Surface Scanning for Virtual-CT Based Radiation Therapy Treatment Planning

This study evaluates if three dimensional (3D) surface images can be used instead of the standard computed tomography (CT) scans for treatment planning in electron radiation therapy. 3D scanning has previously been used by several groups to design patient-specific devices to be 3D printed, and as has shown excellent agreement with CT obtained surfaces. Using 3D surface imaging instead of x-ray based CT, benefits include: no ionizing radiation used to produce images, shorter time between patient consultation and treatment, and ability to produce and evaluate patient-specific devices for electron therapy earlier in the treatment planning process. This study may help researchers learn how 3D surface scanning may be used to produce a virtual CT image of patient surfaces, and accurately replace traditional planning CT for treatment planning of electron based radiation therapy.

Study Overview

• Status: Completed
• Conditions: Malignant Solid Neoplasm; Hematopoietic and Lymphatic System Neoplasm
• Intervention / Treatment: Other: Electronic Health Record Review; Procedure: Three-Dimensional Imaging

Detailed Description

PRIMARY OBJECTIVES:

I. Develop and benchmark the necessary software to convert a 3D scan to a virtual CT.

II. Compare the spatial accuracy of virtual CTs from 3D scans to the planning CT.

III. Compare radiation treatment plans based on the virtual CTs from aim 2 to treatment plans based on the actual planning CTs.

OUTLINE: This is an observational study.

Patients undergo 3D surface scans on study. Patient's medical records are also reviewed on study.

• Study Type: Observational
• Enrollment (Actual): 26

Contacts and Locations

Study Locations

• United States
  • Arizona
    • Scottsdale, Arizona, United States, 85259
      • Mayo Clinic in Arizona

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

Patients being treated with electron radiation therapy at Mayo Clinic.

Description

Inclusion Criteria:

• Adults (18 years old or older)
• Capable of consent
• Receiving electron therapy and a planning CT scan
• Consent to two 3D surface scans of treatment area

Exclusion Criteria:

• Pediatric patients
• Mentally incapable of study consent
• Receiving electron radiation for a breast cancer boost
• Receiving electrons for total skin electron therapy
• Patients with epilepsy or other seizure disorders

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Observational (3D surface scans, medical records); Patients undergo 3D surface scans on study. Patient's medical records are also reviewed on study.	Other: Electronic Health Record Review; Medical records reviewed; Procedure: Three-Dimensional Imaging; Undergo 3D surface scans; Other Names: 3-D Imaging; 3-Dimensional Imaging; 3D Imaging; Medical Imaging, Three Dimensional

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Dose distribution agreement between virtual and planning computed tomography (CT) datasets	The various three dimensional (3D) scans and CTs of the phantoms will be qualitatively assessed for agreement and accuracy to determine best practice, but there will be no statistical significance tested for. Will be conducted entirely on inanimate, plastic, anthropomorphic models (phantoms).	Up to 2 months
Geometric agreement between virtual and planning CT datasets	Will test for distance to agreement differences between 3D scans taken at different time points (consultation, simulation, and treatment).	Up to 2 months
Geometric agreement between 3D scans taken at different time points	Various dose metrics will be extracted from each of the three types of dose distribution: the ground truth CT based dose distribution, the 3D scan based virtual CT dose distributions, and the flat water phantom based dose distributions. Paired statistical tests will be used for each metric to test for significant differences between the various methods used to calculate the dose distributions.	Up to 2 months

Collaborators and Investigators

• Sponsor: Mayo Clinic
• Investigators: Principal Investigator: Daniel P. Harrington, MS, Mayo Clinic

Publications and helpful links

Helpful Links

• Mayo Clinic Clinical Trials

Study record dates

Study Major Dates

• Study Start (Actual): January 19, 2021
• Primary Completion (Actual): February 5, 2026
• Study Completion (Actual): February 5, 2026

Study Registration Dates

• First Submitted: May 7, 2024
• First Submitted That Met QC Criteria: May 7, 2024
• First Posted (Actual): May 10, 2024

Study Record Updates

• Last Update Posted (Actual): February 24, 2026
• Last Update Submitted That Met QC Criteria: February 20, 2026
• Last Verified: February 1, 2026

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Neoplasms; Diagnostic Techniques and Procedures; Diagnosis; Diagnostic Imaging; Imaging, Three-Dimensional
• Other Study ID Numbers: 19-012790 (Other Identifier: Mayo Clinic Institutional Review Board); NCI-2022-09578 (Registry Identifier: CTRP (Clinical Trial Reporting Program)); ROA1971 (Other Identifier: Mayo Clinic Radiation Oncology)

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No
• product manufactured in and exported from the U.S.: No