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SOMATOM go.SimSimulation reinvented


SOMATOM go.Sim is a highly flexible, intuitive CT simulator. With fully integrated hardware and software tailored specifically to your requirements, it is designed to increase certainty and reduce the likelihood of errors. It also features advanced algorithms, AI-powered organ-at-risk (OAR) autocontouring, and excellent soft-tissue contrast potentially decreasing target margins. What’s more, it is designed to care for both patients and users – with a calming environment, a simple operating concept, and a single vendor service contract. 

SOMATOM go.Sim helps you get the full picture faster so you can spend less time managing CT simulation and more time focusing on patients.

Features og Fordele

  1. Direct Laser​1

    Reduce complexity and errors in patient marking

  2. DirectORGANS1

    Optimize images for consistent AI-based organ-at-risk (OAR) contours

  3. 4D CT with FAST 4D

    Reduce motion artifacts with
    intelligent 4D CT imaging​

  4. DirectBrachy positioning board1,3

    Enable your CT simulator room
    for streamlined brachytherapy

  5. DirectDensity1,2

    Personalize kV settings and
    keep a standardized workflow ​

  6. TwinSpiral Dual Energy1

    Aim for precise target delineation
    with two separated energy spectra​

  7. RT Table and overlay

    Accommodate patients on our
    227kg or 307kg patient table1 and overlay with Varian and
    Elekta indexing

  8. Mobile Workflow​

    Stay close to your patients and
    focus on what matters

  9. iMAR1

    Reduce different types of metal artifacts

Klinisk brug

Reinventing CT simulation with SOMATOM go.Sim – a highly flexible, intuitive CT simulator that we designed in collaboration with over 300 RT specialists – radiation oncologists, medical physicists, dosimetrists, RTTs, and financial decision makers – to give us insights into your world. The result is a groundbreaking approach to CT simulation. It will give you everything you need to achieve the ultimate starting point for optimal RT planning.

Be certain in simulation

The challenges in CT simulation.

60% of all RT incidents are caused by manual operation and data exchange4

  • Successful CT simulation needs efficient and fail-safe workflows
  • Current processes mean users have to switch between multiple software and hardware solutions
A lack of integration leads to errors and uncertainty in CT simulation.

Drive precision for contouring

Hispital de Mar accurate contouring

Courtesy of Hospital Del Mar, Spain.

Poor scope for accurate contouring hinders confident treatment planning

  • Modern treatment techniques require precise planning
  • CT simulation must consistently deliver high-quality patient modeling for the tumor and surrounding organs
  • Yet the data provided for contouring are often not precise enough
Contouring is a major source of variability in RT planning5

Care for patients and users

Dialysis Treatment Patient

Anxious patients and time-pressured operators can lead to suboptimal CT simulation

  • Current CT simulation can create anxiety for patients and pressure for operators
  • Operators have to spend a lot of time outside the examination room
  • Installing and maintaining a multi-vendor system is complex and time-consuming

49% of patients feel distressed and anxious.9

SOMATOM go.Sim
DirectORGANS1
SOMATOM go.Sim
iMAR1
SOMATOM go.Sim
HD FOV
Courtesy of Leopoldina Krankenhaus Schweinfurt, Germany

Prostate autocontouring with AI-based DirectORGANS1

120 kV
Acquired slices: 32 x 0.6 mm
Pitch: 0.8 Rotation time: 1.0 s
Scan length: 690 mm
Scan time: 44 s
Slice thickness: 3 mm
Recon: Qr40, SAFIRE 3
CTDIvol: 18.42 mGy
DLP: 1324 mGy*cm

Testimonials

Hear what our customers are saying:

"The interface of the system is very intuitive and easy to operate. The mobile tablet maximizes the time with the patient and helps us to provide the best care at the starting point of treatment.12"

Juliane Krestine Fuglsang

Radiographer, Aarhus University Hospital, Aarhus, Denmark

<p>Juliane Krestine Fuglsang</p>

Juliane Krestine Fuglsang

Radiographer, Aarhus University Hospital, Aarhus, Denmark

Tekniske specifikationer

Bore size

85 cm

Scan Field-of-View (sFoV)

60 cm

Acquired slices/reconstruction slices

32/64

Z-axis coverage

1.92 cm

Rotation time

0.351, 0.5, 1.0 s

max. table load

227/3071 kg (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

The software version VA40 for the SOMATOM go.Sim and SOMATOM go.Open Pro is pending 510(k) clearance, and is not yet commercially available in all countries. Its future availability cannot be guaranteed.

1

Optional

2

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.

3

The DirectBrachy positioning board is currently under development; it is not for sale in the U.S.A.

The DirectBrachy positioning board is not commercially available in all countries. Its future availability cannot be guaranteed.

The urology stirrups (leg support) seen here are optional. The information contained here refers to products from third party manufacturers and are therefore in their regulatory responsibility.

The CT simulator and the CT table seen here are not part of the DirectBrachy positioning board.

DirectBrachy positioning board is only compatible with SOMATOM go.Sim and SOMATOM go.Open Pro with Multi-index RTP Overlay. Afterloader needed for brachytherapy. Shielding of the CT room is required when it its used for brachytherapy.

Verification of mutual compatibility of medical devices combined in a system in accordance with Article 22 (MDR Regulation (EU) 2017/745) on Medical Devices is pending. The combination is not commercially available in the European Union.

The DirectBrachy positioning board does not yet fulfill all applicable General Safety and Performance Requirements according to the European Medical Device Regulation 2017/745. The product is not commercially available. Its future availability cannot be guaranteed.

4Greenwalt J et al. Reducing errors in radiation therapy through electronic safety checklists. Applied Radiation Oncology. 2014: 5–9.

5

Jameson MG et al. A review of methods of analysis in contouring studies for radiation oncology. J Med Imaging Radiation Oncol. 2010; 54(5): 401–10.

6

Wu X, Udupa JK, Odhner D, et al. Knowledge-Based Auto Contouring for Radiation Therapy: Challenges in Standardizing Object Definitions, Ground Truth Delineations, Object Quality, and Image Quality. Int J Radiat Oncol Biol Phys. 2017; 99(2): E740.

7

Cheung CW, Leung KY, Lam WW, et al. Application of Model-based Iterative Reconstruction in Auto-contouring of Head and Neck Cases. Scientific Informal (Poster) Presentation at: LL-ROS-TH Radiation Oncology and Radiobiology Lunch Hour CME Posters; 2012 Nov 29; Chicago, IL.

8

Requires Anzai or Varian RGSC

9

Kelly E et al, Reduced patient anxiety as a result of radiation therapist‐led psychosocial support: a systematic review, J Med Radiat Sci Sep; 64(3): 220–231 2017.

10

Use of cone-beam imaging to correct for catheter displacement in high dose-rate prostate brachytherapy, Holly R.et al., Brachytherapy (2011) 10:4 (299-305), Doi: 10.1016/j.brachy.2010.11.007

11Prostate HDR brachytherapy catheter displacement between planning and treatment delivery, Whitaker M et al. Radiotherapy and Oncology (2011) 101:3 (490-494), Doi: 10.1016/j.radonc.2011.08.004

12The 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.