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SOMATOM go. platform for Radiation Therapy

SOMATOM go. platform for Radiation Therapy

In radiation therapy, image artifacts and staff availability can slow the time to therapy. Impact to patient satisfaction, treatment efficacy and department efficiency is significant.

How do you limit potential errors and reduce time to treatment? With the SOMATOM go. platform.

Download our Case Study: Cut contouring time by 60%

Meet the 64-slice SOMATOM go.Sim and 128-slice SOMATOM go.Open Pro.

They feature fully integrated hardware and software tailored to you, and unprecedented automation and guidance. Use them to give time back to staff, shorten procedure time, and cut errors.

Features & Benefits

The value we create

Reduce artifacts and unnecessary rescans and target margins

In 75% of scans, the patient breathes irregularly. This leads to artifacts.³

Traditional CT scanners produce too little data, causing interpolation or motion artifacts.

With the SOMATOM go. platform for RT, you get:

The ability to minimize gap artifacts in 4D images by 85%4
Robust and simple 4D image acquisition for every patient
More confident treatment planning. Learn more.

Siemens-healthineers-AT-SomatomGo-DirectORGANS-OAR-Contouring-infographic

Create a consistent starting point with OAR auto-contouring, and data optimized for AI

Contouring is a major source of variability in RT¹, and most auto-contouring solutions use data optimized for humans rather than the algorithm.

With the SOMATOM go. platform for RT, you can:

Manage OAR contouring at the system – not manually
Leverage the power of optimized recon and deep learning to streamline organs-at-risk contouring
Reduce unwarranted variations with high-quality contours that approach consensus-based contour levels

Somatom.Go Intelligent set up — With the streamlined process

Minimize errors by eliminating unnecessary interfaces and data exchanges

60% of RT incidents are caused by human error.
It’s a consequence of manual operation and too many data exchanges.²

With the SOMATOM go. platform for RT, you get:

Streamlined process with integrated hardware and software (lasers and effortless laser QA to optimize clinical operations
More time with the patient, less error-prone workflow with the go. technologies shown on the tablet

Go Workflow

Reducing errors in a highly complex workflow

This 85-cm bore SOMATOM go. platform for RT comes with fully integrated hardware and software tailored specifically to your requirements. It offers unparalleled operational flexibility, and intuitive guidance with embedded patient marking lasers, automated quality assurance and integrated injector arm as well as the post-processing software.

The workflow gives you certainty in simulation and guides the radiation therapist through the entire virtual simulation process. The mobile tablet allows the therapist to remain with the patient to reduce patient anxiety and increase patient comfort.

Reduce artifacts and unnecessary rescans and target margins

In 75% of scans, the patient breathes irregularly. This leads to artifacts.³

Traditional CT scanners produce too little data, causing interpolation or motion artifacts.

With the SOMATOM go. platform for RT, you get:

The ability to minimize gap artifacts in 4D images by 85%4
Robust and simple 4D image acquisition for every patient
More confident treatment planning. Learn more.

Create a consistent starting point with OAR auto-contouring, and data optimized for AI

Contouring is a major source of variability in RT¹, and most auto-contouring solutions use data optimized for humans rather than the algorithm.

With the SOMATOM go. platform for RT, you can:

Manage OAR contouring at the system – not manually
Leverage the power of optimized recon and deep learning to streamline organs-at-risk contouring
Reduce unwarranted variations with high-quality contours that approach consensus-based contour levels

Minimize errors by eliminating unnecessary interfaces and data exchanges

60% of RT incidents are caused by human error.
It’s a consequence of manual operation and too many data exchanges.²

With the SOMATOM go. platform for RT, you get:

Streamlined process with integrated hardware and software (lasers and effortless laser QA to optimize clinical operations
More time with the patient, less error-prone workflow with the go. technologies shown on the tablet

Go Workflow

Reducing errors in a highly complex workflow

Reduce artifacts and unnecessary rescans and target margins

In 75% of scans, the patient breathes irregularly. This leads to artifacts.³

Traditional CT scanners produce too little data, causing interpolation or motion artifacts.

With the SOMATOM go. platform for RT, you get:

The ability to minimize gap artifacts in 4D images by 85%4
Robust and simple 4D image acquisition for every patient
More confident treatment planning. Learn more.

DirectORGANS autocontouring was one of the features that we were most excited about in the new system. We were able to cut down contouring time by 60%. ⁶

Alexander Whitley, M.D., PhD

Central Alabama Radiation Oncology, Prattville, AL

Drive precision in target contouring

A powerful combination of three innovative solutions delivers confident tumor visualization, precise target contours, and a straightforward 4D workflow:

iMAR⁵

Reduces metal artifacts

Courtesy of the University of Heidelberg, Heidelberg, Germany

Direct Density^5,7

Unlocks optimal kV settings with a single calibration curve

Twin Spiral Dual Energy^5,8

Push the boundaries to improve target delineation

TwinSpiral Dual Energy^5,8 is a new form of dual-energy acquisition that uses a Tin Filter to achieve optimal spectral separation. And for the first time ever, you can now benefit of Dual energy based improved soft tissue contrast over 60 cm of field of view.

More Information

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Vinod S, Jameson M, Min M, Holloway L. Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies. Radiotherapy and Oncology. 2016 Aug [cited 2019 Aug]. Available from: https://www.thegreenjournal.com/article/S0167-8140(16)34331-6/pdf

Greenwalt J et al. Reducing errors in radiation therapy through electronic safety checklists. Applied Radiation Oncology. 2014: 5–9.

Werner R, Hofmann C, Mucke E, Gauer T. Reduction of breathing irregularity related motion artifacts in low-pitch spiral 4D CT by optimized projection binning. Radiation Oncology, 2017.

Only available on the SOMATOM go.Open Pro, requires the online mode with ANZAI or RGSC.

Optional.

The statements by Siemens Healthineers’ customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.

As shown by measurements with a Gammex 467 Tissue Characterization Phantom comparing [T]standard reconstruction and DirectDensity reconstruction. Image value to relative electron/mass density conversion for the standard reconstruction was based on a two-linear-equations approach with individual calibration for each tube voltage. For DirectDensity images, a single tube-voltage-independent linear conversion was used. DirectDensity reconstruction is designed for use in Radiation Therapy Planning (RTP) only. DirectDensity reconstruction is not intended to be used for diagnostic imaging.

syngo.via and syngo.via CT Dual Energy DirectSPR is required.

Available on SOMATOM go.Open Pro only. Requires online mode with Anzai or Varian RGSC.

SOMATOM go. platform for Radiation Therapy

SOMATOM go.Sim

SOMATOM go.Open Pro