DLCExpert™

Automating Radiotherapy Imaging Workflows

ACCELERATION THROUGH AUTOMATION

Mirada's RT solutions add the power of AI automation and optimization of the RT workflows to accelerate RT cancer care.

DLCExpert gives clinics the flexibility to choose from its AI Library of structures, covering head and neck, thorax, prostate, and breast. Built using Deep Learning technology, DLCExpert saves time while providing OAR contouring consistency and accuracy.

AI autocontouring

Unlocking the power of AI for Radiation Oncology, so you can focus on what matters most – patient care

Productivity and resource optimization

Completed contours. Automatically delivered to your workstation of choice

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Quality Management

Consistency of contours
Optimized to your clinic

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Outcomes

More time for QA and complex cases
Reduced time of patient’s treatment

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University of New Mexico Cancer Center

Delivering patient treatment efficiencies thanks to DLCExpert

UNM’s 206,432 sq. ft. state-of-the-art Cancer Treatment and Clinical Research Facility brings new cancer diagnostic and treatment modalities to New Mexico, having introduced or expanded 11 cancer programs and now offering 17 cancer programs including neuro-oncology, bone marrow and stem cell transplantation as well as Phase I clinical trials.

The Problem

UNM RT department needed a solution that would provide space in their patient schedule, delivering patient treatment efficiencies without compromising patient care quality and effectiveness. An autocontouring solution was seen as a potential solution for this problem by decreasing the OAR contouring time of their planning process, freeing time in their schedule for enhanced dose planning and potential adaptive planning, thus improving overall treatment efficiencies and patient care

University of New Mexico Cancer Center

The Solution

After reviewing Mirada’s DLCExpert™ head/neck structures, the department felt that this solution could greatly benefit their workflow. UNM chose DLCExpert™ to fulfil this need, with the main beneficiaries of the solution being the department’s dosimetrists, as well as their patients

University of New Mexico Cancer Center

The Results

Customized the DLC H&N contours to match UNM's structure templates, both with color and names of structures. DLCExpert delivered savings of 75% time for each H&N patient, saving up to 7 hours a week. 80% of the H&N structures contoured by the DLC require either no edits or minor editing (defined as > 1 min of editing)

University of New Mexico Cancer Center

Testimonial

We have had great results with Mirada’s Head and Neck DLC Model. It saves us about 75% of our traditional contouring time

Angela Rubio

Chief Radiation Dosimetrist

University of New Mexico Cancer Center