Les Outils Cliniques de Demain en Scanner Cardiaque · ECR 2018 –From Diagnosis to Prognosis...

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  • ECR 2018 – From Diagnosis to PrognosisECR 2018 – From Diagnosis to PrognosisThursday, March 1, 2018/08:30-10:00/Room N

    Les Outils Cliniques de Demain en Scanner CardiaqueLes Outils Cliniques de Demain en Scanner Cardiaque Status en 2018Status en 2018

    Rodrigo Salgado, MD, PhDRodrigo Salgado, MD, PhD

    Dpt. Of Radiology | Antwerp University Hospital - Heilig Hart Lier | BelgiumDpt. Of Radiology | Antwerp University Hospital - Heilig Hart Lier | Belgium

    rodrigo.salgado@uza.berodrigo.salgado@uza.be

  • Cardiac CT was a popstar!

  • Myocardial perfusion CT4D evaluation of prosthetic heart valves

    Movie courtesy of Ricardo Budde, MD - UMC Utrecht

    Clinical applications are evolving as equipment improves

    Evolving applications

  • Acquiring the Data: CT

    Steady increase in performance of CT

    performance

  • CT: The Holy Grail

    Spatial resolution

    Temporal resolution

    Speed of execution

    Have we now everything that we desire?

  • New CT technology

  • New hardwareI HAVE A NEW TOY!

  • Single Energy CT

    • Single x-ray energy spectrum• attenuation based on material density & composition

    Attenuation characteristics are not necessarily unique to different materials

    Ca+

    IodineCT detector Photons

  • Dual Energy CT

    • Dual x-ray energy spectrum

    Specific materials attenuate differently from two X-ray spectra

  • Dual Energy CT

    DECT can be performed with single- or double-source systems

  • Dual Energy CT

    Latest technology uses one detector with two layers

    Continuous dual energy acquisition in every scan

  • Dual Energy CT

    DECT technology offers new applications

  • Clinical applications

    • Virtual unenhanced CT from CT-A acquisition

    Dual energy CT can provide Ca-score from CT-A images

    native CT-A Virtual unenhanced CT

  • Clinical applications

    • Thrombus or not?

    Single contrast-phase detection of thrombus in LAA

  • Clinical applications

    • Better SNR & CNR

    Dual energy CT can lead to >50% CM savings due to better contrast

    30 ml contrast medium

  • OK, this is boring!WHAT ELSE DO YOU HAVE?

  • Dual X-ray source Fast kVp switching Dual-layer detector

    • Relatively high overlap of the energy spectra

    • Noise level may differ between low and high energy images

    • 90° phase shift between low-and high-energy data

    • Scattered radiation

    • Relatively high overlap of the energy spectra

    • Fixed thresholds

    Dual Energy CT problems

    Current dual energy CT systems have their disadvantages

  • New Kid in Town

    Photon counting CT is coming!

  • • Photon-counting detectors (PCDs) X-ray photon -> electric signal (fast)

    INDIRECT CONVERSION DIRECT CONVERSION

    DETECTOR DETECTOR

    SEPTUM

    SEPTUM

    SEPTUM - ---

    --

    - ---

    - --

    • Energy-Integrating Detectors (EIDs) X-ray photon -> light -> electric signal

    (slow)

    Detector comparison

    Slide courtesy of R. Symons, MD

  • • Energy-Integrating Detectors (EIDs)

    Combine effects of energy and number of photons in intensity value

    Loss of spectral information

    • Photon-counting detectors (PCDs)

    Measure number of photons (counts) and energies separately (faster integration time)

    Photons divided into energy binsSpectral information retained

    Detector comparisonSlide courtesy of R. Symons, MD

  • Advantages over current technology

    • Spectral information always available: no special protocol required• Less overlap between low and high energy data: better material separation• Energy thresholds can be adapted to clinical indication: more flexible• >2 energies possible: potential for multi-contrast imaging

    Slide courtesy of R. Symons, MD

  • • 3 wild mongrel dogs with chronic myocardial infarction• Late enhancement: Gadolinium• first pass Iodine

    Gd injection I injection Imaging

    10 min20 sec

    By using different contrast media, can we differentiate them with one CT-acquisition??

  • • 3 wild mongrel dogs with chronic myocardial infarction• Late enhancement Gadolinium, first pass Iodine

    Multiphase CT acquired in a single acquisition!

    Multi-energy cardiac imaging

    First-pass enhancement of blood

    late enhancement of subendocardial

    Virtual unenhanced

  • Excellent CT-MR-histology correlation of scar

  • Spectral information

    Noise propertiesSpatial resolution

    Time

    Pulse)Height

    Intensity

    E3

    T ime

    Pulse+Height

    E2

    E1

    E4

    E bin 1

    E bin 2

    E bin 3

    E bin 4

    PC-CT also provides better spatial resolution & noise properties

  • Photon-counting CT• Multi-Energy visualization of plaques

    PC-CT can help in differentiating plaque materials

  • Software!THE POWER OF THE ROBOTS

  • Coronary CTA• One-pass CT subtraction

    Subtraction of Calcium & stent material without additional acquisition

  • Coronary CTA• Arrhythmia & low-Dose CT

    Cardiac CT is applicable to a larger population

    0,19 mSV – 30 cc contrast medium144 BPM Atrial fibrillation

  • CT-FFR• Additional value over conventional angiography

    CT-FFR requires excellent image quality

  • CT-FFR• Additional value over conventional angiography

    CT-FFR still has some problems in the critical range

  • Combining CT Perfusion & FFR

    Diagnostic performance may improve by CT perfusion & -FFR

  • From little to big data

    Comparison with large datasetsComparison with large datasetsComparison with large datasets

    MorphologyMorphologyMorphology FunctionFunctionFunction

  • Machine learning (ML)• Automatic Ca-score determination

    ML can help in automated Ca-score from CT-A & non-gated scans

  • CT-FFR has potential to improve FFR algorithms

    Machine learning (ML)

  • • ML in patients with suspected coronary artery disease

    Adding Machine Learning for better mortality prediction than other scores

    Machine learning (ML)

  • Integration of automated AI results in clinical reporting

    Machine learning (ML)

  • Final ThoughtsA PRACTICAL POINT OF VIEW

  • CT detector technology is evolving

  • New technologies induce new applications

  • Excellent image quality is nevertgheless required

  • A radiologist with AI is probably better than one without

  • Thank you!