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David Sher

@DavidSherMD

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"Ultimately, the secret of quality is love. You have to love your patient, you to have to love your profession, you have to love your G-d." Avedis Donabedian

Dallas, TX
Joined April 2019
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@DavidSherMD
David Sher
22 hours
RT @UTSW_RadOnc: Save the date for our ART Symposium, which is less than 2 months away! This symposium is open to radiation oncologists, me…
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@DavidSherMD
David Sher
11 days
RT @UTSW_RadOnc: We are currently accepting applications for our medical student rotation coming up in April! Follow the link below to appl…
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@DavidSherMD
David Sher
21 days
RT @CJTsaiMDPhD: 👋🏼Excellent single institution study examining the benefit of SFRT. There is a lot of potential with this approach and as…
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@DavidSherMD
David Sher
25 days
RT @drdavidpalma: Hey #radonc community! The Red Journal @IJROBP is calling for papers for a new special issue: SBRT - From Clinical Tria…
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@DavidSherMD
David Sher
25 days
RT @UTSW_RadOnc: Our Asst. Director of Clinical Operations, Catie Wallace, authored this article, with significant contributions from our M…
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@DavidSherMD
David Sher
26 days
@moh_radonc Congrats! Great topic!
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@DavidSherMD
David Sher
27 days
@NiuSanford Totally agree that dose/volume reductions will provide the biggest bang for your buck. I would be curious about a daily adaptive approach for anal ca with reduced PTV margins, esp since skin toxicity was the biggest problem (though that also increases the number of bucks...).
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@DavidSherMD
David Sher
28 days
@KaramLab In fact, for our phase IIR, we are spacing out the fx (weekly) for smokers to allow more mucosal healing. Total tx time is still less than standard regimens. Optimal dose-fractionation still a work-in-progress. But "standard" volumes are still too large, regardless of dose/fx!
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@DavidSherMD
David Sher
29 days
P.S. We are testing whole larynx versus LT-SABR in our current phase II randomized G-FORCE trial, powered for acute grade 2 or higher events. About 15% through accrual.
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@DavidSherMD
David Sher
1 month
We have a robust AI model to predict the H&N dose distribution for IMRT treatments. Of course, of course, we should have created a robust AI model to predict 3D-CRT dose distributions... What were we thinking?
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