Isotopiste

Engineer, Nuclear Medicine physician at Université de Lyon & Hospices Civils de Lyon

[Isotopiste @Enthym]

@RikOssenkoppele @GarnierCrussard !

[Isotopiste @Enthym]

@GarnierCrussard @macesari Make sense

[Isotopiste @Enthym]

@GarnierCrussard @LECollij @CTADconference @IMI_AMYPAD @JuandoGispert @MahnazShekari Smart move !

[Isotopiste @Enthym]

@GarnierCrussard Very nice !

[SNMMI @SNM_MI]

A new treatment for Alzheimer’s disease, lecanemab, was approved today by the FDA. It has been shown to slow disease progression for early-stage patients. The presence of beta amyloid must be confirmed before treatment. https://t.co/pNvYcwBCSD #NuclearMedicine #PETscan #Alzheimer

[Isotopiste @Enthym]

@percyliang @Hammers_Alexand

[Alexander Hammers @Hammers_Alexand]

Great collaboration with #Lyon’s #CERMEP and #CREATIS as usual, this time also with #CAHMS and Grenoble!
@KCLGSTTpet
@KingsImaging
@UnivLyon1
@enthym
@MarcJanier
@colm_j_m

[Alexander Hammers @Hammers_Alexand]

We think this is quite promising.
If you’re curious to read the whole story, here’s the link, open access of course:
https://t.co/oP8FnUXW3X)
8/8

[Alexander Hammers @Hammers_Alexand]

So finally, as a proof of concept @enthym showed that a model trained on simulated can be applied to clinical data.
Again, visual image quality improved (see images) and reader confidence increased, too.
However, a limitation is that we only had 10 patients’ data. 7/8

[Alexander Hammers @Hammers_Alexand]

Those simulated #FCD lesions then had more favourable stats (better contrast) and were also twice as likely to be detected by human raters (75% vs 38%). Great!

But these were all simulated data -so what about clinically acquired data? 6/8

[Alexander Hammers @Hammers_Alexand]

So far, so good, but what does this do for lesion detectability?
To find out, we created another (!) 120 phantoms with lesions designed to look like #FCD (focal cortical dysplasia), see the example … 5/8

[Alexander Hammers @Hammers_Alexand]

… and this is what those “predicted high-quality PETs” look like.

Stats for various quality measures improved. 4/8

[Alexander Hammers @Hammers_Alexand]

Those 2100 standard-quality PETs were used to learn the mapping back to the ground-truth phantoms using #AI - a residual neuronal network, #ResNet.
Once you have this mapping, you can create enhanced “ #superresolution ” PET from standard PET… 3/8

[Alexander Hammers @Hammers_Alexand]

We created a large database of simulated #PET data using a high-quality Monte-Carlo PET simulator. With digital brain phantoms from T1w #MRI as “ground-truth phantom” inputs, we created 2100 simulated standard quality PETs (yes, lots of number crunching!)
2/8

[Alexander Hammers @Hammers_Alexand]

#FDG #PET is great for #epilepsy surgery already-but resolution and contrast could be better still to find more lesions e.g. #FocalCorticalDysplasia.
In this new #Frontiers paper by @enthym, we took a step towards #superresolution PET…
https://t.co/oP8FnUYtTv
1/8

[Isotopiste @Enthym]

@NatureAging @NaipMayo @DavidJonesBrain @GarnierCrussard

[Isotopiste @Enthym]

@anita_nitch @GarnierCrussard

[Antoine Garnier-Crussard @GarnierCrussard]

Autopsy Validation of the Diagnostic Accuracy of 123I-MIBG Myocardial Scintigraphy for Lewy Body Disease https://t.co/oplt7Mhl03

@GreenJournal
@Enthym @So_Dautricourt

[Diagnostics MDPI @diagnostic_mdpi]

#mdpidiagnostics Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-#FDG #PET Due to Machine Learning in Metastatic #Melanoma Treated with Anti-#PD1 Treatment. View Full Text: https://t.co/RCXeupnXvk.
#radiomics #MachineLearning #immunotherapy #prediction

[Isotopiste @Enthym]

Voici le vrai numéro merci

[Isotopiste @Enthym]

@SNCFTERAURA est ce que le ter 886921 pour perrache circule ?