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SOMATOM go.Sim

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.

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Features & Benefits

Clinical Use

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

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.

Integration is a key factor to avoid potential error-prone CT simulation workflows

SOMATOM go.Sim comes with fully integrated hardware and software tailored specifically to your requirements. It offers unparalleled operational flexibility, and intuitive guidance.

This workflow gives you certainty in simulation: It's smooth, fast and is able to deliver the reproducible and user-independent results you need.

Drive precision for 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

Suboptimal image quality leads to suboptimal autocontouring

Courtesy of University Hospital Aarhus, Aarhus, Denmark

Radiation oncology professionals have to spend time manually correcting poor autocontouring

The quality of autocontouring depends on the quality of the CT images
Suboptimal image quality (caused by metal artifacts, poor soft-tissue contrast, etc.) leads to suboptimal autocontouring^6,7

In the worst-case scenario, radiation oncology professionals have to redo the OAR contouring entirely by hand.

Courtesy of Radiology Department, Hospital Particular de
Viana do Castelo, Viana do Castelo, Portugal.

Consistent OAR contours generated directly by the CT simulator with DirectORGANS¹

SOMATOM go.Sim features DirectORGANS¹ (Optimized Reconstruction based contours trained by Generative Adversarial Networks): an AI-powered OAR contouring that automates and standardizes key steps in the CT simulation pathway. 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.

Courtesy of University Aarhus, Aarhus, Denmark

Drive precision for target contouring

A powerful combination of three innovative solutions delivers confident tumor visualization, precise target contours, and a straightforward 4D CT workflow: iMAR¹ reduces metal artifacts, DirectDensity^1,2 unlocks optimal kV settings with a single calibration curve, and Respiratory Motion Management³ optimizes scan parameters based on the patient’s breathing.

Your benefits

Confident tumor visualization thanks to automated metal artifact reduction with iMAR¹
Precise target contours with optimum kV imaging and a single calibration curve thank to DirectDensity^1,2
Straightforward 4D CT workflow thanks to comprehensive respiratory motion management³

Drive precision for target contouring

Your benefits

Confident tumor visualization thanks to automated metal artifact reduction with iMAR¹
Precise target contours with optimum kV imaging and a single calibration curve thank to DirectDensity^1,2
Straightforward 4D CT workflow thanks to comprehensive respiratory motion management³

Drive precision in target contouring

Your benefits

Confident tumor visualization thanks to automated metal artifact reduction with iMAR¹
Precise target contours with optimum kV imaging and a single calibration curve thank to DirectDensity^1,2
Straightforward 4D CT workflow thanks to comprehensive respiratory motion management³

Care for patients and users

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

Improve the patient experience with a patient centric design, co-created with RT professionals

Total freedom over how and where you set up the simulation, and more time with your patient thanks to the mobile workflow
A calming environment for the patient thanks to the ring mood lighting
More comfort for patients thanks to the large 85-cm bore

SOMATOM go.Sim creates a comfortable and calming environment for patients, and enables staff to spend more time at their side.

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
CTDI_vol: 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

Juliane Krestine Fuglsang

Radiographer, Aarhus University Hospital, Aarhus, Denmark

"We considerably improved our 4D CT workflow. Long range acquisitions, including whole lungs, are now possible thanks to the SOMATOM go.Sim. Breathing artifacts such as missing slices are minimized, both for scans acquired with the Anzai or the C-rad Sentinel."

Nathalie Fournier-Bidoz

Medical Physicist, Gustave Roussy Cancer Campus, Paris, France

Nathalie Fournier-Bidoz

Medical Physicist, Gustave Roussy Cancer Campus, Paris, France

“The benefit (of DirectORGANS¹) for patients is that their physicians aren’t caught up with planning and having to draw each contour themselves. This means they have much more time to devote to each individual patient.”

Dr. Christian Grehn

Radiation Oncologist and Co-owner, Nordstrahl, Praxis für Strahlentherapie Nürnberg, Germany

Dr. Christian Grehn

Radiation Oncologist and Co-owner, Nordstrahl, Praxis für Strahlentherapie Nürnberg, Germany

Technical Specifications

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

Services & Support Education & Training

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.

Optional

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.

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.

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

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.

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.

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.

Requires Anzai or Varian RGSC

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.

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

Prostate 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

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.

SOMATOM go.SimSimulation reinvented

Features & Benefits