Rema (Rao) Chaari retweetledi
Rema (Rao) Chaari
580 posts

Rema (Rao) Chaari
@Raodyisms
An extroverted pathologist, podcaster, yoga enthusiast, BollyX instructor..and a classic ENFP!!! #cytopath #pathology
Cleveland, OH Katılım Eylül 2009
554 Takip Edilen635 Takipçiler
Rema (Rao) Chaari retweetledi

🎥 In this #CytoVideo, @tarik_elsheikh explains how correlation of AUS, AUS:M, and ROM with molecular results can offer a robust framework for QA.
🔗 #OpenAccess article: acsjournals.onlinelibrary.wiley.com/doi/10.1002/cn…
🔗 Full video: youtu.be/2SI3mzIBULg
@CLEClinicLabs @CleClinicMD @Raodyisms

YouTube
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Rema (Rao) Chaari retweetledi

New and #OpenAccess! | Molecular testing and other metrics in thyroid cytology as quality-assurance measures in evaluating variation among pathologists in the diagnosis of atypia of undetermined significance
acsjournals.onlinelibrary.wiley.com/doi/full/10.10…
#CytoPath @Raodyisms @erikacytogal @ENT_Path

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Rema (Rao) Chaari retweetledi

Congratulations to @elsheikhtarik and @Raodyisms for their comprehensive look at #QA in #thyroid #cytology. In case of #TLDR, see Table 3 to see how *your* lab compares! @GokozanMD @MichiyaNishino @CancerCytopath acsjournals.onlinelibrary.wiley.com/doi/full/10.10…
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Rema (Rao) Chaari retweetledi

Outstanding grand rounds by @KMirza on the virtual renaissance of pathology education at @CCFPathRes 👏👏👏
#PathX #PathTwitter

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Rema (Rao) Chaari retweetledi

This review covers all relevant aspects of #telecytology for ROSE, including digital pathology options, operators, validation, quality assurance, reimbursement, and recommendations from professional organizations. 🌹
acsjournals.onlinelibrary.wiley.com/doi/10.1002/cn…
@MDAndersonNews #CytoPath

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@pepeheffernan @AnupamaArya12 @Histopatolomon @edusqo @IvanaKholova @ariabdullah1978 @DanGrahamMD @medannabel @smlungpathguy @TotalCytopath @padmapathology1 SMARC A4 deficient tumors.
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Rema (Rao) Chaari retweetledi

📊 The Area Under the Curve (AUC) is a single number that shows how well a model can tell categories apart. It combines sensitivity (finding true positives) and specificity (avoiding false positives) into one overall score. A perfect model has an AUC of 1.0—no missed diagnoses, no false alarms. The higher the AUC, the more accurate and reliable the model is across all threshold settings. Think of it as the model’s “diagnostic precision” score!

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CC361. FNA of a nodule in the cheek in a woman with previous history of oropharyngeal squamous cell carcinoma. More images below. I will give you a hint: not its typical location @kriyer68 @DrBMcGinn @goziemnweke


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Rema (Rao) Chaari retweetledi

@JosephMisdraji What a great moment this is for you! I am so excited for your new ventures and I can’t wait for my turn 😉 enjoy the time!!
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Rema (Rao) Chaari retweetledi
Rema (Rao) Chaari retweetledi

PIRO is very cool, developed by Scott and used by many in our department. Please check it out!
Scott Robertson@ScotRobertsonMD
We built a fast web-based application for searching pathology reports. Works especially well with Epic data. Contact me if you want to learn more. #Pathology Manuscript Link: doi.org/10.1016/j.jpi.…
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Rema (Rao) Chaari retweetledi

We built a fast web-based application for searching pathology reports. Works especially well with Epic data. Contact me if you want to learn more. #Pathology
Manuscript Link:
doi.org/10.1016/j.jpi.…


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Rema (Rao) Chaari retweetledi

@Vik_deshpandeMD Crucial to this approach is vastly overstating the value of NGS and targeted therapy. How many low grade neoplasms with a fusion do we need and how does it help the patient when they are all treated exactly the same?
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Rema (Rao) Chaari retweetledi

Very true—but patients are aspirational, and so are their clinicians. People want the best, and the WHO has positioned itself as the gold standard in tumor classification.
I’ve seen families willing to spend a lifetime’s savings on a single genetic test, just to give their child a shot at the best treatment. That’s how much weight the WHO carries.
Which is why it’s deeply troubling that so much of its current framework is based on low-quality evidence and personal opinion. That’s not just poor science—it’s unfair.
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Rema (Rao) Chaari retweetledi

@Vik_deshpandeMD I couldn't agree more! The WHO blue books, over the years, have become more glossy, hyper-specialized, and genetically obsessive; they now read like love letters to billion-dollar biotech firms. Problem is, the rest of the world isn’t reading along. Because we can't.
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Rema (Rao) Chaari retweetledi
Rema (Rao) Chaari retweetledi

The @PapSociety
Executive Board had a productive meeting at #USCAP2025. Huge thanks to @AzizaNassar2 for her incredible leadership as the president and to our committee members for their dedication! @DiagnosticCyto @AzizaNassar2 @PoonamVohra3 @Baskotacytopath @IACytology

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