---
title: "Clinical Showcase: AAPM Abstracts Featuring Radformation Software | Radformation"
description: Poster presentations from AAPM/COMP 2020 annual meeting featuring clinical results using Radformation software.
image: https://blog.radformation.com/hubfs/clinical-showcase.jpeg
---

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Company & Product

# Clinical Showcase: AAPM Abstracts Featuring Radformation Software

Poster presentations from AAPM/COMP 2020 annual meeting featuring clinical results using Radformation software.

 Written by  [Tyler Blackwell](https://blog.radformation.com/author/tyler-blackwell)  on 

 Aug 18, 2020

---

Attending the [AAPM/COMP virtual annual meeting](https://radformation.com/blog/aapm-comp-meeting-in-review/) was a positive experience, and was a well-planned conference experience for clinicians and commercial partners alike. Radformation was pleased to have participated as an exhibitor in the vendor hall as well as the Vendor Showcase parallel track.

Several institutions submitted abstracts for clinical research involving Radformation’s software solutions. It’s always a pleasure to see how departments have incorporated these tools to improve their workflows and impact patient care. We’re happy to share some select abstracts here, which involves ChartCheck and EZFluence and covers topics from data extraction to time savings with 3D planning.

 

#### ClearCheck

**[Large-Scale Multi-Patient Radiotherapy Data Mining Framework with Commercial Plan Reporting Tool](https://aapm.multilearning.com/aapm/2020/eposters/302780/mojtaba.moazzezi.large-scale.multi-patient.radiotherapy.data.mining.framework.html?f=listing%3D4%2Abrowseby%3D8%2Asortby%3D2%2Amedia%3D2%2Aspeaker%3D787825)**

<https://blog.radformation.com/Large-Scale%20Multi-Patient%20Radiotherapy%20Data%20Mining%20Framework%20with%20Commercial%20Plan%20Reporting%20Tool> *M Moazzezi, K Moore, K Sysock, X Ray, K Kisling*   
 *(1) University of California San Diego, San Diego, CA, (2) Radformation, New York, NY*

Using the [ClearCheck API](https://radformation.com/blog/introducing-clearcheck-v1-6/), UCSD extracted data for thousands of patients to train a knowledge-based dose prediction model. In addition, they were able to analyze hundreds of treatment plans and DVH data. The ClearCheck API functionality was released in v1.6 and is now available for clinics to leverage the power of scripting to gain access to large amounts of patient data for analysis.

[![](https://blog.radformation.com/hubfs/Imported_Blog_Media/Moazzezi.png)](https://storage.googleapis.com/radformation-website-blog/1/2020/08/Moji-ClearCheck-Poster-AAPM.pdf)

 

**[Benchmarking the Plan Review Performance of a Commercial Automation Tool and a Dynamic Checklist Technology Using TG-275 High Risk Failure Modes](https://aapm.multilearning.com/aapm/2020/eposters/303091/jeremy.hoisak.benchmarking.the.plan.review.performance.of.a.commercial.html?f=listing%3D4%2Abrowseby%3D8%2Asortby%3D2%2Amedia%3D2%2Aspeaker%3D664908)**

<https://blog.radformation.com/Large-Scale%20Multi-Patient%20Radiotherapy%20Data%20Mining%20Framework%20with%20Commercial%20Plan%20Reporting%20Tool> *J Hoisak, R Manger, G Kim, I Dragojevic*   
*University of California, San Diego, La Jolla, CA*

ClearCheck aided the UCSD team in automating plan checks with high-risk failure modes. Coupled with the department’s intelligent dynamic checklists (IDCs), the addition of ClearCheck for automated plan checking increased failure mode coverage for physician peer review to 97.8%. The use of automation in plan evaluation decreases clinical workload and allows for more concentrated focus on more complicated tasks.

[![](https://blog.radformation.com/hubfs/Imported_Blog_Media/TG275UCSD.png)](https://storage.googleapis.com/radformation-website-blog/1/2020/08/TG275-Poster-AAPM2020.pdf)

#### EZFluence

[**Dosimetric Evaluation of Forwarding-Optimizing-Fluence-Script and Hybrid IMRT Planning Techniques for Whole Left Breast Treatment**](https://aapm.multilearning.com/aapm/2020/eposters/301262/david.28duanqiang29.wang.dosimetric.evaluation.of.html?f=listing%3D4%2Abrowseby%3D8%2Asortby%3D2%2Amedia%3D2%2Aspeaker%3D788447)

<https://blog.radformation.com/Large-Scale%20Multi-Patient%20Radiotherapy%20Data%20Mining%20Framework%20with%20Commercial%20Plan%20Reporting%20Tool> *D Wang, M Weiss, H Perlingiero, M Kalman, Y Hu, A Denittis*   
*(1) Lankenau Hospital, Wynnewood, PA, (2) Bryn Mawr Health Center, Wynnewood, PA, (3) Lankenau Institute For Medical Research*

Lankenau Hospital found that Forwarding-Optimizing-Fluence-Script (FOFS) or electronic compensator (e-comp) planning was superior to hybrid IMRT (H-IMRT) for whole left breast treatment planning. Analyzing 29 plans, the e-comp plans delivered more uniform prescription dose with less dose to heart and lung OARs, while simultaneously reducing hot spots and treatment time. As a result, Lankenau Hospital concluded that e-comp planning is a better alternative for their DIBH patients.

[![](https://blog.radformation.com/hubfs/Imported_Blog_Media/AAPM-2020-ePoster-June_pptx-1.png)](https://storage.googleapis.com/radformation-website-blog/1/2020/08/AAPM-2020-ePoster-June.pptx.pdf)

 

[**Adaptive Treatment Replanning with a Commercial Field-In-Field Optimization Platform**](https://aapm.multilearning.com/aapm/2020/eposters/302583/charles.matrosic.adaptive.treatment.replanning.with.a.commercial.html?f=listing%3D4%2Abrowseby%3D8%2Asortby%3D2%2Amedia%3D2%2Aspeaker%3D788098)

<https://blog.radformation.com/Large-Scale%20Multi-Patient%20Radiotherapy%20Data%20Mining%20Framework%20with%20Commercial%20Plan%20Reporting%20Tool> *C K Matrosic, K C Paradis, M M Matuszak, University of Michigan, Ann Arbor, MI*

The University of Michigan utilized EZFluence to test the feasibility of a field-in-field adaptive planning workflow. Replanning three previously treated clinical cases (3DCRT bladder, VMAT lung, and thoracic multi-metastatic treatment) yielded improvements in PTV D95% coverage, lung doses within clinical limits, and treatment plan quality similar to VMAT. The University of Michigan concluded that EZFluence could be used in an adaptive planning workflow for cases that exhibit large interfraction changes with minimum alterations to the current clinical workflow.

[![](https://blog.radformation.com/hubfs/Imported_Blog_Media/Matrosic-png.png)](https://storage.googleapis.com/radformation-website-blog/1/2020/08/CM_EPoster_AAPM-2020_final.pdf)

<iframe id="fitvid0" class="hs-responsive-embed-iframe" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" title="Charlie Matrosic, University of Michigan Resident, Presents Adaptive Planning Using EZFluence" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" xml="lang" src="https://www.youtube.com/embed/5-agnSzW_k8?feature=oembed" width="560" height="315" frameborder="0" allowfullscreen data-service="youtube"></iframe>

 

 

[**Retrospective Dosimetric Study of a Novel Automation Software for Whole Brain Planning Field-In-Field Treatment Plans**](https://aapm.multilearning.com/aapm/2020/eposters/302311/carlos.esquivel.retrospective.dosimetric.study.of.a.novel.automation.software.html?f=listing%3D4%2Abrowseby%3D8%2Asortby%3D2%2Amedia%3D2%2Aspeaker%3D734230)

*C Esquivel, A Tipton, L Patton, D Baldassari, B Lin*   
 *Texas Oncology San Antonio, San Antonio, TX*

Texas Oncology compared traditional whole brain Field-in-Field plans with EZFluence generated plans. When assessing the total treatment planning times for each method, traditional planning time was found to take 7-20 minutes. Using EZFluence, the time required for the same plans was reduced to 4-8 minutes. Texas Oncology concluded that EZFluence generates whole brain FIF plans comparable to traditionally created plans (within 1%) with comparable physician review and a significant reduction in planning time.

[![](https://blog.radformation.com/hubfs/Imported_Blog_Media/AAPM-2020-EZ-WB_final_ppsm.png)](https://storage.googleapis.com/radformation-website-blog/1/2020/08/AAPM-2020-Retrospective-study-WB-EZFluence.pdf)

**[Evaluation of a Novel Automation Software for Generating Field-In-Field Plans for Various Treatment Sites](https://aapm.multilearning.com/aapm/2020/eposters/302627/carlos.esquivel.evaluation.of.a.novel.automation.software.for.generating.html?f=listing%3D4%2Abrowseby%3D8%2Asortby%3D2%2Amedia%3D2%2Aspeaker%3D734230)**

*C Esquivel, L Patton, B Doozan, K Nelson, D Boga, T Navarro*   
*(1) Texas Oncology San Antonio, San Antonio, TX, (2) Texas Oncology, McAllen, TX, (3) Texas Oncology Brownsville,TX*

Texas Oncology compared the use of EZFluence treatment planning software to traditionally planned field-in-field cases, including breast, whole brain, and rectum plans. The average traditional planning time was 10-20 minutes, with the use of EZFluence the average was found to be 4-9 minutes. Texas Oncology concluded that EZFluence is able to create comparable plans (within 1%) with a significant reduction in planning time. Additionally, using MapCheck and RadCalc, Texas Oncology was able to validate EZFluence for clinical use.

[![](https://blog.radformation.com/hubfs/Imported_Blog_Media/Retrospective-Study.png)](https://storage.googleapis.com/radformation-website-blog/1/2020/08/AAPM-2020-Eval-Novel-Automation-Software-Various-sites-SA-RGV-1.pdf)

 

 

ClearCheck helps clinics save time with in-depth plan checks, quick plan comparison, and instant documentation.

[Learn More](https://www.radformation.com/clearcheck/clearcheck)

EZFluence generates optimal fluence files and field-in-field plans that import directly into Varian Eclipse TPS.

[Learn More](https://www.radformation.com/ezfluence/ezfluence)

 

 

 

![Tyler Blackwell](https://blog.radformation.com/hubfs/Tyler-modified.png)

#### Written by [Tyler Blackwell](https://blog.radformation.com/author/tyler-blackwell)

Tyler is a board-certified medical physicist with extensive clinical experience in radiation therapy. He is active in the medphys community including several AAPM committees, the AAPM Board of Directors, and as an ABR orals examiner. Tyler dabbles in real estate investing, loves preparing breakfast for his three kiddos, and enjoys playing adult coed soccer.

<https://www.linkedin.com/in/tyler-blackwell-42191038/> <https://twitter.com/TylerABlackwell>

 Related tags:    [Company & Product](https://blog.radformation.com/tag/company-product)

#### Leave a comment

### Related posts

<https://blog.radformation.com/clinical-showcase-2021-aapm-abstracts-featuring-radformation-software?hsLang=en>

Company & Product

### [2021 AAPM Abstracts Featuring Radformation](https://blog.radformation.com/clinical-showcase-2021-aapm-abstracts-featuring-radformation-software?hsLang=en)

A summary of abstracts utilizing Radformation products at the 2021 Annual AAPM Meeting.

[Austin Skinner](https://blog.radformation.com/author/tyler-blackwell)  Sep 17, 2021

<https://blog.radformation.com/radformations-2020-year-in-review?hsLang=en>

Company & Product

### [Radformation’s 2020 Year in Review](https://blog.radformation.com/radformations-2020-year-in-review?hsLang=en)

In an unpredictable year, we focused on creating amazing new tools, connecting virtually, and promoting big ideas.

[Tyler Blackwell](https://blog.radformation.com/author/tyler-blackwell)  Dec 15, 2020

<https://blog.radformation.com/halcyon-planning-advanced-with-ezfluence?hsLang=en>

Company & Product

### [Halcyon Planning Advanced with EZFluence](https://blog.radformation.com/halcyon-planning-advanced-with-ezfluence?hsLang=en)

EZFluence makes 3D planning easy for clinics with Varian’s Halcyon.

[Radformation](https://blog.radformation.com/author/tyler-blackwell)  Jun 25, 2019

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