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SOMATOM go.OpenPro

SOMATOM go.Open ProThe future is in motion

Introducing SOMATOM go.Open Pro – an advanced CT simulator that delivers accurate, reproducible patient modeling for treatments and individualized care. With a unique detector width, super soft-tissue contrast, and intelligent 4D CT with breathing adaptation, it achieves exceptional clarity for confident treatment planning. Input from RT specialists guided the design, so the fully integrated hardware and software are tailored to your requirements. These pioneering features, combined with data synchronization across all components, allow you to master challenging cases and devote more time to your patients.

SOMATOM go.Open Pro helps you expand precision medicine and make individualized therapy available to more patients. This is an advanced, intelligent CT simulator that helps you push the boundaries to fight the most challenging cancers.

Features & Benefits

Clinical Use

Precision medicine, curative intent, and hypofractionated treatments hold enormous potential for patients. Yet they are only possible if the treatment planning data are absolutely precise. Many patients with conditions that present major challenges – such as the inability to hold one’s breath – miss out on the benefits because current CT simulation cannot manage the individual complexities they present. Poor-quality, imprecise information makes it especially difficult to target tumors and protect vital organs in these complex cases. In addition, error-prone workflows and time pressure can further hamper CT simulation.

We believe the future is in motion – and this belief shaped the development of SOMATOM go.Open Pro. This advanced CT simulator provides accurate, reproducible patient modeling that can break down the barriers to modern treatments and individualized care.

Difficulties in providing the best care for challenging cases

  • Precision medicine, curative intent, and hypofractionated treatments have enormous potential
  • Patients with cancers such as lung, liver, and head and neck cancer miss out on this potential because their cases are too challenging for existing CT systems
  • Poor-quality, imprecise information makes it especially difficult to target tumors and protect healthy tissue

Push the boundaries for challenging cases

A CT simulator that provides exceptionally accurate and reproducible patient modeling could break down the barriers to moderntreatment methods and individualized patient care. SOMATOM go.Open Pro allows you to expand precision medicine and push the boundaries for challenging cases.

SOMATOM go.Open Pro delivers exceptional clarity for highly confident planning. With it, you and everyone on your team can remain at the forefront of your field for years to come.

Push the boundaries for lung/liver imaging

Interpolation image artifacts
Courtesy of MAASTRO clinic, The Netherlands

75% of the time patients breath irregularly which leads to artifacts3

Accuracy is essential when irradiating moving targets. Yet many traditional CT scanners cannot deliver the image quality necessary for this kind of treatment planning. During 4D acquisition, they produce either too much or too little data, which causes interpolation or motion artifacts.

Patients often breathe irregularly during 4D acquisition, which causes image artifacts.

Reduce image artifacts with intelligent 4D CT
Courtesy of MAASTRO clinic, The Netherlands

Reduce image artifacts for confident target margins with intelligent 4D CT thanks to Direct i4D

Direct i4D1 is a 4D CT sequence that intelligently adapts to the patient’s breathing in real time. The algorithm monitors the breathing pattern throughout acquisition and reconstruction.

The result: Reducing unwarranted variations in the images can potentially decrease target margins.

Your benefits

  • Robust and simple 4D image acquisition for every user
  • Enables 4D images with virtually no artifacts related to incomplete breathing cycles
  • More confident treatment planning with potential for smaller target margins

 

Direct i4D1 simplifies the 4D CT workflow and produces excellent results even for patients with irregular breathing patterns. Therefore, it helps to determine the best possible individual dose plan for RT.4
Peter Albeck Qvistgaard
Head of radiography dept, Aarhus University Hospital, Aarhus, Denmark
World’s first CT simulator that generates contours for lung cancer patients.
Courtesy of Leopoldina Krankenhaus, Schweinfurt, Germany

World’s first CT simulator that generates contours for lung/liver cancer patients

DirectORGANS2 (Optimized Reconstruction based contours trained by Generative Adversarial Networks) is a revolutionary OAR contouring solution. It leverages optimized and standardized reconstruction parameters to deliver input to the deep learning based contouring solution. This process runs in parallel to the reconstruction of the image for target contouring.

The result: Save time and reduce unwarranted variations with high-quality contours that approach the level of consensus-based contours.

Your benefits

  • Tailored treatment plans thanks to robust OAR contours, including ribs and lung lobes
  • Reduce unwarranted variations with high-quality contours
  • AI powered DirectORGANS2 provides streamlined OAR contouring thanks to optimized reconstruction

Push the boundaries for breast imaging

Current CT simulators require a longer breath-hold (20 s)6

15% of patients don’t have sufficient breath-hold ability to be considered for DIBH5

Deep inspiration breath-hold (DIBH) is a widely accepted method of minimizing cardiac toxicity. Current CT simulators require a longer breath-hold (20 s)5 than is required in modern treatment techniques such as high-dose-rate therapies and fast cone beam CT.

Long breath-hold during CT simulation is uncomfortable for patients and can limit their access to tailored treatment.

Less than 10 seconds for the entire thorax

Push the boundaries with reduced breath-hold times for deep inspiration breath-hold

By combining a 4-cm detector with fast rotation times (0.35 s2), SOMATOM go.Open Pro covers more of the patient’s anatomy in less time. An entire thorax scan takes less than 10 seconds.

The result: Reducing unwarranted variations in the images can potentially decrease target margins.

Your benefits

  • Deep inspiration breath-hold for more patients thanks less than 10-second scan
  • Confident breast contouring thanks to high image quality
  • Enhanced patient comfort and improved access to tailored treatment
Confident breast contouring
Courtesy of University Hospital Erlangen, Germany
Minimizing cardiac toxicity in radiotherapy
Courtesy of University Hospital Zurich, Switzerland

The risk of cardiovascular disease increases by 7.4% per 1 Gy mean heart dose6

Minimizing cardiac toxicity in radiotherapy is highly related to accurate cardiac OAR contours. Especially when it comes to organs like the heart where movement artifacts in the images can be an additional problem.

Easily access cardiac substructures to tailor your treatment plan with the goal of minimizing the risk of cardiac toxicities.

Precise heart chamber contours
Courtesy of Radiology Department, Hospital Particular de Viana do Castelo, Viana do Castelo, Portugal.

Cardiac chamber segmentation paves the way for research in the field of cardiac toxicity

Push the boundaries with AI-powered DirectORGANS2 for precise heart chamber contours in breast cancer patients.

The result: Easily access cardiac substructures to tailor your treatment plan with the goal of minimizing the risk of cardiac toxicities.

Your benefits

  • Tailored treatment plans with high-quality OAR contours of cardiac substructures delivered directly from the CT simulator
  • Straightforward cardiac chamber segmentation may pave the way for research in the field of cardiac toxicity
Precise heart chamber contours
Courtesy of University Hospital Erlangen, Germany

Push the boundaries for head and neck imaging

The accuracy of target delineation for head and neck cancers is limited by the lack of soft-tissue contrast on CT.
Wardman K et al. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning. J Applied Clin Med Phys. 2016; 17(4): 146–154.
Wardman K et al. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning. J Applied Clin Med Phys. 2016; 17(4): 146–154.
Neck with 120 kV
Courtesy of Erasmus MC. Rotterdam, Netherland

Push the boundaries with TwinSpiral Dual Energy to improve target delineation

TwinSpiralDual Energy2 is a new form of dual-energy acquisition that uses a Tin Filter to achieve optimal spectral separation. By reducing scan times, it is especially suitable for cases involving motion.

The result: Precise target delineation thanks to improved soft-tissue contrast.

Your benefits

  • Better soft-tissue contrast improves target delineation (e.g. at 40 keV)
  • Less variability in target contouring7

SOMATOM go.Open Pro reinvents simulation

A straightforward, all-in-one solution for successful CT simulation

A straightforward, all-in-one solution for successful CT simulation

The flexible, intuitive system synchronizes data across all integrated components. It operates via one user interface and requires a single vendor service contract. This means you can spend less time managing CT simulation and more time focusing on your patients – in the comfortable and calming environment that SOMATOM go.Open Pro creates for them.

Seamless and less error-prone CT simulation processes

Your benefits

  • Seamless and less error-prone CT simulation processes
  • Optimal image quality for target contouring
  • A comfortable and calming environment for patients, operators, and administrators

Technical Specifications

Bore size

85 cm

Scan Field-of-View (sFoV)

60 cm

Acquired slices/reconstruction slices

64/128

Z-axis coverage

3.84 cm

Rotation time

0.354, 0.5, 1.0 s

max. table load

227/3072kg (TG-66 compliant tables)

System footprint

4 m2/43 ft2 (surface area covered by gantry and moving table top)

Min. room requirement

17.3 m2/186.2 ft2

1
Optional, online gating device such as RGSC or Anzai is required.
2
Optional.
3
Werner R et al. Intelligent 4D CT Sequence Scanning (i4DCT). Best of Physics at ASTRO 2018.
4
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.
5
Rice L et al. An effective deep-inspiration breath-hold radiotherapy technique for left-breast cancer: impact of post-mastectomytreatment, nodal coverage, and dose schedule on organs at risk. Breast Cancer (Dove Med Press). 2017; 9:437–446.
6
Saunders M et al. Continuous hyperfractionatedaccelerated radiotherapy (CHART) versus conventional radiotherapy in non-small-cell lung cancer: a randomisedmulticentretrial. CHART Steering Committee. Lancet. 1997; 350(9072):161–5.
7
Dual Energy CT cookbook: A guide to Monoenergetic Plus imaging in RT, 2018. Courtesy of Hospital del Mar, Barcelona, Spain.