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SOMATOM go.Sim

Znovuobjevená simulace


SOMATOM go.Sim je vysoce flexibilní, intuitivní CT simulátor. Díky plně integrovanému hardwaru a softwaru přizpůsobenému speciálně vašim požadavkům je navržen tak, aby zvyšoval jistotu a snižoval pravděpodobnost chyb. Obsahuje také pokročilé algoritmy, autokonturu rizikových orgánů (OAR) podporovanou umělou inteligencí a vynikající kontrast měkkých tkání potenciálně snižující cílové okraje. Navíc je navržen tak, aby se staral o pacienty i uživatele – poskytuje uklidňující prostředí, je jednoduchý pro provoz a pojí se s ním smlouva o poskytování služeb jedním dodavatelem.

SOMATOM go.Sim vám pomůže získat celkový obraz rychleji, tudíž neplýtváte čas správou CT simulace a můžete jej věnovat pacientům. 

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

    1/3
    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.
    The challenges in CT simulation.
    CT simulation workflow
    SOMATOM go.Sim
    1/3

    Drive precision for contouring

    1/7
    Hospital del 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
    Hospital del Mar accurate contouring
    Suboptimal image quality leads to suboptimal autocontouring
    DirectORGANS
    Precision in target contouring
    Direct Density
    SOMATOM go.Sim FAST 4D
    1/7

    Care for patients and users

    1/5
    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

    Dialysis Treatment Patient
    SOMATOM go.Sim
    SOMATOM go.Sim
    Brachytherapy
    Brachytherapy
    1/5
    1/5
    SOMATOM go.Sim
    DirectORGANS1    02
    SOMATOM go.Sim
    iMAR1    02
    SOMATOM go.Sim
    HD FOV    01
    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

    Without iMAR*
    With iMAR*
    Without iMAR*
    With iMAR*
    Without HD FOV and iMAR*
    With HD FOV and iMAR*
    1/5

    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"

    <p>Juliane Krestine Fuglsang</p>

    Juliane Krestine Fuglsang

    Radiographer, Aarhus University Hospital, Aarhus, Denmark

    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

    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.

    4
    Greenwalt 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

    11
    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
    12
    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.