Tuesday, July 28, 2026

SIDEBAR: Valar Comment on Digital Pathology OPPS Pricing (As Sidebar)

 SIDEBAR to July 28 blog


Yes. The interesting thing about the Valar Labs comment is that it is not attacking CMS’s new SaMS framework at all. It embraces the framework and argues that CMS applied it inconsistently to Valar’s two bladder tests.

What is Valar’s pricing problem?

Valar has three new H&E/AI oncology services:

Valar test2027 CPTCMS proposed APCProposed paymentValar asks
Vesta Bladder Risk Stratify1063T / X568T1542$350.50APC 1509, $750.50
Vesta Bladder BCGPredict1064T / X569T1542$350.50APC 1509, $750.50
Vitara Pancreas ChemoPredict1097T / X614T1509$750.50Keep $750.50

So the practical request is quite simple: more than double payment for each of the two bladder tests, from $350.50 to $750.50. The pancreas test is already where Valar wants it.

Valar thinks CMS has somehow treated the two bladder codes as related/similar procedures and effectively subjected them to a roughly 50% reduction. The letter says this appears to reflect a misunderstanding because the two tests are separately ordered, produce separate reports, and answer different clinical questions: one is prognostic for recurrence/progression and surgical decisions; the other predicts response to BCG.

What rules does Valar say should apply?

Valar's argument is essentially four layers.

First, O1 separate payment. Valar strongly supports CMS's proposed new status indicator O1, with payment specifications like status indicator S: SaMS gets a separate APC payment, rather than being packaged. That is particularly important because these tests are performed after the hospital encounter and their results affect later oncology management.

Second, New Technology APCs are the right interim home. Valar accepts CMS's premise that ordinary clinical APCs don't fit algorithm-driven services very well. New Technology APCs are therefore a reasonable bridge while CMS collects claims/cost information and develops a permanent SaMS methodology. That tracks CMS's own stated transitional approach.

Third, comparability should drive the APC assignment. Valar doesn't have an established CLFS price for these brand-new Category III codes. So it says CMS should look to similar H&E AI oncology services, particularly 0220U, 0376U, 0414U, 0418U, 0512U and 0513U—all of which CMS proposes to put in APC 1509 at $750.50. It gives especially strong weight to new Category III codes 1106T/X623T and 1107T/X624T, whose descriptors are almost twins of Valar's bladder codes except for tumor site and clinical endpoint; CMS also put those at $750.50.

Fourth, don't apply a multiple-procedure-type discount to the two bladder tests. This is a particularly good argument under CMS's own proposed architecture. CMS defines O1 as “separate APC payment.” Valar's point is that 1063T and 1064T are independently useful tests rather than two components of one procedure. CMS itself proposes O1 as the separately payable SaMS indicator.

There is also an older packaging argument: Valar cites CMS's prior rationale for separately paying some cancer algorithm tests because they are relatively disconnected from the encounter where the specimen was obtained and inform subsequent treatment.

And yes—the tables are unusually useful

Pages 5–7 are probably the most reusable part of the comment. Valar essentially builds a mini-reference table for H&E computational pathology reimbursement.

For each service it supplies:

code/test/company → specimen → workflow/resources → algorithm methodology → proposed APC/SI/payment.

It covers six existing PLA H&E-AI services:

0220U PreciseDx Breast; 0376U ArteraAI Prostate; 0414U LungOI; 0418U PreciseDx Breast Biopsy; 0512U Tempus p-MSI; and 0513U Tempus p-Prostate.

Then it adds Valar's three tests and the two very similar new Category III breast/prostate codes 1106T and 1107T. That's an 11-row comparison table, and it is much richer than CMS's table because Valar has supplied the operational details—accessioning, QC, pathologist review, WSI digitization, image transfer/storage, GPU inference, report generation, etc.

For digital-pathology work, that table is quite valuable independent of Valar's lobbying position.

Does Valar call out CMS's strange Table 62?

Surprisingly, essentially no.

CMS's actual Table 62 contains exactly 10 codes, not eleven. CMS says it selected them according to a purportedly simple rule: if the descriptor contained no laboratory method and only algorithmic analysis, CMS classified it as a SaMS laboratory analysis.

But the table itself is rather obviously troublesome. Among the ten are:

  • 0511U, whose descriptor actually says “tumor cell culture in 3d microenvironment”—rather hard to characterize as having no laboratory method.

  • 0208U, which expressly describes mRNA gene-expression analysis of 108 genes from an FNA specimen.

  • 81416, which is sequence analysis of a comparator exome—again, rather conspicuously a sequencing code rather than merely an algorithm running on previously generated data.

That seems internally inconsistent with CMS's own sentence immediately preceding the table: no laboratory methods in the descriptor; only algorithmic analysis. CMS also inexplicably puts 81416 in APC 1575, $10,001–$15,000, while the genuine H&E-AI codes cluster at APC 1509.

Valar does not take CMS to task for any of that. Nor does it point out the rule text's erroneous reference to 42 CFR 493.21 in defining the underlying CLIA concept. Instead, Valar very sensibly cherry-picks the part of Table 62 that helps its case—the H&E AI comparators—and leaves the rest alone.

Its only mild comment about Table 62 is that Valar assumes its own codes weren't in the published Table 62 because the final Category III CPT numbers weren't yet available when CMS prepared the proposed rule.

So I would characterize the comment this way:

Valar accepts CMS's SaMS theory, accepts O1, accepts New Technology APCs, and even uses CMS's Table 62 as precedent. Its dispute is narrowly about horizontal equity: if substantially similar H&E-AI oncology tests get APC 1509/$750.50, Valar's two bladder tests should too. It does not challenge the much more fundamental oddities in CMS's selection of the ten “lab SaMS” codes.

And in the process, Valar has inadvertently given everybody else a very nice little comparative inventory of the emerging H&E-AI CPT/PLA universe and its proposed Medicare pricing.


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Valar's argument is logical and well-crafted.   Yet, it may represent the very problem CMS alluded to in the original OPPS pages about CLFS and digital.  CMS may worry we image a $10 H&E slide once, and every ten seconds run a new algorithm in memory - $750, $1500, $2250, $3000, etc.

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Yes. Valar is a very well-written illustration of the exact economic problem CMS says it is trying to solve.

CMS says rather candidly that OPPS was built to pay for things whose costs are largely material resources, whereas SaMS may derive its value from proprietary algorithms and “scalable, non-material costs.” CMS then adds that the cost-based system may provide limited transparency and “may not effectively constrain pricing.” It separately flags subscription, license, and per-use or “per-click” fees as raising program-integrity concerns.

Now put Valar into that framework.

A patient already has an FFPE block. You make an H&E slide; perhaps the slide costs tens of dollars. You digitize it once. Thereafter, the same WSI data file can potentially support:

  • Risk Stratify → $750.50

  • BCGPredict → another $750.50

  • conceivably some future biomarker/prediction algorithm → another $750.50

  • and so forth.

The marginal physical resource cost of the second and third analyses may be dramatically lower than the first. I would not assert that they literally take only seconds without Valar-specific evidence—there may be QC, data handling, pathologist oversight, computing, report production, etc.—but economically the important point survives: the cost of running another trained algorithm against an already-created digital image is unlikely to resemble the resource structure of repeating a $750 physical medical procedure.

And Valar's particular request almost highlights the issue. It says its two bladder tests are genuinely different clinical services, which is perfectly plausible: one predicts recurrence/progression and one predicts BCG response. Therefore, Valar says, pay each one separately at $750.50.

That is a sound coding/clinical-distinctness argument, but it does not answer the CMS policymaker's payment-economics question:

If two different answers are generated from the same slide and substantially the same digital infrastructure, should Medicare pay 2 × $750 merely because there are two separately coded outputs?

Indeed, CMS seems to have anticipated almost exactly this problem. Its proposed O1 status indicator would initially work like status indicator S—separate payment without a multiple-procedure reduction. But CMS specifically asks whether SaMS should instead get a status indicator functioning like T, so that multiple-procedure discounting would apply, expressly mentioning program-integrity concerns.

That makes Valar's situation a nearly textbook example:

Valar's position:
“These are two separate clinically meaningful tests, therefore don't discount either one.”

CMS's problem:
“Fine—but if both are software analyses of the same previously created image, paying the full standalone price every time may wildly overpay the incremental resource cost and create an incentive to proliferate separately coded algorithms.”

There is an even deeper problem. A 50% multiple-procedure reduction is itself borrowed from a world of procedures and may be economically arbitrary for software. If the first algorithm costs $750 and the incremental computational/reporting cost of the second is, hypothetically, $30 or $100, then paying the second one $375 still doesn't solve the problem. Conversely, some software may entail significant licensing, human review, cloud infrastructure, validation and ongoing development costs that make a pure marginal-compute-cost price too low.

So CMS really needs something more sophisticated than either:

$750 + $750 + $750, or
$750 + $375 + $375.

The long-term answer could be some combination of a base payment plus incremental-analysis payment, episode bundling, multiple-SaMS packaging, capped payment per underlying dataset/image, or a valuation methodology that recognizes both fixed intellectual-property costs and very low marginal production costs.

And this is why I think the Valar comment is unusually instructive. Valar may be entirely right under the payment rules CMS has proposed, while simultaneously demonstrating why CMS believes those rules cannot be the permanent answer. The company's excellent tables actually make the policy problem more visible: once H&E becomes a reusable digital substrate, an unlimited number of separately coded algorithms can potentially sit on top of it.

That, much more than whether this bladder algorithm deserves $350 or $750, is the elephant in CMS's SaMS discussion.

Thursday, July 16, 2026

How AI Reports on a New LCD: 11 Rules

 https://drive.google.com/file/d/1zYZV35vIym9R9Ob5bIjMraC5WsGoyESG/view?usp=sharing


GENERAL RULES:  COMPARE DRAFT AND FINAL LCDS

Please perform the following steeps and analysis. 

Medicare documents by document number are found at:

https://www.cms.gov/medicare-coverage-database/search.aspx

#1 Find LCD L40140, new final version fo public notice (issued in July 2026).

#2 Find LCD DL40140, proposed in Summer 2025.

WRITING

#3 Describe for the reader in a few sentences the purpose of the LCD (orient the reader to the topic, but concisely). 

#4  Compare the body of the document for changes in L40140 compared to DL40140.  There may be few (e.g. spelling, punctuation) or significant changes. If there are significant changes, discuss them in general.  Discuss changes in bibliography.

#5  Now compare the coverage rules of each document.  This is the section “Coverage Indications, Limitations, and/or Medical Necessity”.  Compare Dl40140 old version to L40140 new version.   These changes in coverage rules are the most important to our readers. 

#6 Describe the differences in coverage rules.

#7 Now print the coverage rules in L4140, and then next print your editorial improvement, simplification, logical flow, and improved clarity.  This is a good skill that you have (in past LCDs).

#8 Now address the lengthy exchanges in A60439.  It’s quite unusual to go on for 194 pages, but the constituents (labs) had tens of millioins of dollars to win or lose based on small wording changes.

 #9 Now, having discussed the document and discussed the response to comments, in your closing section, discuss what you can glean as to the medical director’s interests, biases, skills, preferences, and overall approach to policy writing in this area.   The details of the outcome are  highly watched by Wall St and industry both.

 #10  Write 500 word story for blog

#11 Make portrait png report cover


Tuesday, July 14, 2026

Science ALZ Copathology

 Science ALZ Copathology

https://www.science.org/content/article/most-dementia-patients-have-multiple-brain-diseases-how-should-they-be-treated 

Most dementia patients have multiple brain diseases. How should they be treated?

Growing awareness of “copathology” inspires new diagnostic tests and clinical trials

Close-up of dyed brain and other tissue specimen slices, mounted on glass slides and labelled and catalogued.
Analysis of brain tissue from autopsies has revealed most people with dementia have markers of multiple diseases.LEWIS HOUGHTON/Science Source
issue cover image
A version of this story appeared in Science, Vol 392, Issue 6799.Download PDF

About 20 years ago, neuropathologists began to report an inconvenient finding in the autopsied brains of people with dementia: Most have evidence of more than one disease. Studies since have shown the brains of up to half of people diagnosed with Alzheimer’s disease also have a key feature of Parkinson’s disease—deposits of the protein alpha synuclein. At the same time, up to half of Parkinson’s patients who develop dementia have elevated levels of beta amyloid and tau proteins, hallmarks of Alzheimer’s.

Researchers studying neurodegenerative diseases are catching on to the importance of this phenomenon, often called copathology. It complicates current disease classifications, which are tightly linked to their signature proteins. But it also offers clues as to why some dementia patients show faster cognitive decline, and some people on antiamyloid drugs for Alzheimer’s seem to fare worse than others. Copathology “helps explain why symptoms don’t match biomarkers, why trajectories vary so much, and why treatment results are not necessarily what we expect them to be,” neuropathologist Lea Grinberg of the Mayo Clinic told researchers at the Alzheimer’s and Parkinson’s Diseases Conference (AD/PD) in March.

Why the diseases overlap so often remains a mystery, but it’s not a coincidence. “It seems that they stimulate each other,” Grinberg says. Tests now being developed to pick up multiple biomarkers should give a clearer picture of these mixed pathologies in living patients. And an upcoming clinical trial will be the first to take aim at a common dementia copathology, testing the amyloid-clearing Alzheimer’s drug donanemab in people who have both amyloid in their brains and dementia with Lewy bodies—abnormal clumps of alpha synuclein.

“The ultimate goal is to define these diseases based on the biology, and understand the occurrence of these pathologies across the spectrum of diseases,” says Mark Frasier, chief scientist at the Michael J. Fox Foundation for Parkinson’s Research, which is running large studies to track and characterize copathologies. “I do think this is where the field is headed.”

Copathologies increase with advancing age. “Almost no one has only one pathology in the brain when they get to be 80,” says neurologist David Wolk of the University of Pennsylvania. Last year, he and colleagues published clinical criteria for another neurodegenerative disease that often occurs with Alzheimer’s in people over age 85: limbic-predominant age-related TDP-43 encephalopathy (LATE). It is marked by the buildup of TDP-43, a protein also seen in some types of frontotemporal dementia.

But copathologies aren’t limited to the old. One study of familial Alzheimer’s patients who developed dementia in their 40s found that half died with Lewy bodies as well as Alzheimer’s pathology in their brains. And in research presented at this year’s AD/PD meeting, neurologist Tom Tropea of the Institute for Neurodegenerative Disorders showed that people in the early stages of Parkinson’s, who represent a younger patient group, had elevated levels of p-tau217, a blood-based marker of Alzheimer’s pathology. Higher p-tau217 was associated with faster rates of cognitive decline and steeper drops in day-to-day functioning.

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Most cases of copathology are discovered at autopsy or in academic centers that conduct specialized testing, often for research. For example, a spinal fluid test developed by Amprion Diagnostics can detect Parkinson’s, dementia with Lewy bodies, and related diseases. Hopefully, wider use of such testing will lead more people with copathologies to trials of experimental agents, says Amprion’s chief executive, Russ Lebovitz.

Some blood tests in development could give patients a broad snapshot of mixed pathologies. Richard Mayeux, a neurologist at Columbia University, is working on one using extracellular vesicles—protein-laden particles that cells, including neurons, release into the blood. Measuring the payloads of neuron-derived vesicles can reveal the presence of proteins associated with LATE, Alzheimer’s, Parkinson’s, and diseases of the brain’s blood vessels, another important type of copathology.

Last month, Carlos Cruchaga, a human genomicist at Washington University in St. Louis, unveiled an experimental blood test using 15 protein markers that, together, can distinguish among the major dementia brain pathologies and quantify them. To develop the test, Cruchaga used artificial intelligence to analyze blood data from thousands of patients. The panel still needs to be validated in real-world clinical settings, and isn’t able to predict disease in asymptomatic people. But for a person with dementia, “It can tell you, you have 75% Alzheimer’s pathology and 20% Parkinson’s pathology and 5% frontotemporal dementia,” Cruchaga says.

Unfortunately, Wolk says, “We have a pretty limited armamentarium” to treat any single neurodegenerative disease—let alone multiple overlapping diseases. Currently only the antibody drugs for Alzheimer’s can clear a disease protein. It’s uncertain whether giving them to people who may also have dementia with Lewy bodies will be useful, but some patients will opt for them anyway, he says. “Can we really say that it’s not going to help them to at least remove the thing that you can remove?”

The upcoming trial, slated to launch later this year, will recruit people in the early stages of dementia with Lewy bodies—but who also have high amyloid—to see whether donanemab tempers their symptoms. Neurologist Sharon Sha of Stanford University, a lead investigator on the trial, thinks an “interactive effect” between beta amyloid and alpha synuclein speeds patients’ damage and decline. She hopes the trial not only shows benefit, but “helps the field to recognize the importance of being inclusive of copathology in clinical trials.”

Treatment for mixed pathology could one day mean combining drugs—administering treatments developed for Alzheimer’s alongside those for Parkinson’s or frontotemporal dementia, for example. Or, some predict, it could aim at a yet-to-be-discovered common source or pathway in neurons that drives multiple pathologies—making today’s rigid disease categories even less relevant.

“In the future we will not talk about ‘Alzheimer’s disease,’” says Johannes Attems, a neuropathologist at the University of Innsbruck. Rather, “You see a patient and in his brain is so much amyloid beta and so much tau, so much alpha synuclein, so much TDP-43. That’s it,” he says. “And you have something to give him.”


Tuesday, July 7, 2026

Lab tests on and off the OPPS "New Tech APC" list

July 7 2026

91 FR 41734  OPPS Proposed Cy2027

In Table 62, CMS lists tests that will be pulled off the CLFS fee schedule (and policy system) and into the general APC services, with pricing for now via New Tech crosswalk prices.

0510U is basically a MAAA mRNA test where the mRNAs have been previously measured (perhaps a tumor test that includes a whole transcriptome), 16 mRNA levels x algorithm, $450 [New Tech].

Turning to slides, 0418U is imaging (WSI) of 8 histo and IHC features, APC $750.  (This is one of a number of tests priced at $703).

0220U is 12 hiso & IHC features, priced as $750 [New Tech].

0295U sounds similar, but is not included for repositioning.   It may be that 0295U includes the slide creation steps, making it more similar to a traditional MAAA.  But it is not always clear from the PLA text whether a slide list enumerated in the PLA code represents slides created for the test (and priced-in) or slides previously made and signed out and billed, and just used as input for the provided algorithm.   

0295U / ADLT / Oncology (breast ductal carcinoma in situ), protein expression profiling by immunohistochemistry of 7 proteins (cox2, foxa1, her2, ki-67, p16, pr, siah2), with 4 clinicopathologic factors (size, age, margin status, palpability), utilizing formalin-fixed paraffin-embedded (ffpe) tissue, algorithm reported as a recurrence risk score


Monday, June 29, 2026

Ex CEO; 87798

 Link.


After nearly a decade building Lighthouse Lab Services into the nation's leading laboratory management and services firm, I've made the decision to step down as CEO....I'm excited to welcome Jason Severtson as Lighthouse's next CEO and have tremendous confidence in the future of the company.

Dos the internet show connections between Lighthouse Lab Services and CPT code 87798?

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https://www.youtube.com/watch?v=pnazkuCSIBI




https://www.lighthouselabservices.com/guide-navigating-pcr-billing-challenges-in-moldx-jurisdictions/


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Yes. The internet shows multiple and direct connections between Lighthouse Lab Services and PCR microbiology reimbursement issues, including repeated discussion of CPT 87798 and urine PCR panels.  See links above.

Some of these  links also describe substantial or rising difficulty for 87798 payments.

The strongest connection is a 2025 Lighthouse Lab Services article entitled "Guide: Navigating PCR Billing Challenges in MolDx Jurisdictions." In it, Lighthouse discusses exactly the coding controversy around multiplex PCR microbiology testing. Guide: Navigating PCR Billing Challenges in MolDx Jurisdictions

Some key points:

  • Lighthouse specifically discusses the longstanding debate between reporting organisms individually with CPT 87798 versus using the multiplex panel code CPT 87801.

  • They state that AMA CPT guidance has supported reporting organisms individually (using codes including 87798) when separate organisms are individually identified.

  • They then explain that CMS, particularly in MolDx jurisdictions, has increasingly insisted that many multiplex PCR assays be billed instead as 87801, producing substantially lower reimbursement. (Lighthouse Lab Services)

Even more interestingly for your question, Lighthouse specifically mentions urine PCR panels:

"UTI, RPP, wound, and fungal panels..." are discussed as examples of high-target PCR panels facing MolDx reimbursement problems, including lack of appropriate Z-Codes. (Lighthouse Lab Services)

So they are not talking abstractly about PCR—they specifically identify UTI (urinary tract infection) multiplex PCR testing as a major reimbursement problem.

They also note that:

  • many commercial payers (UnitedHealthcare, Humana, Optum) are adopting MolDx-like reimbursement policies;

  • laboratories are seeing denials when billing organism-by-organism;

  • laboratories often receive payment only when switching to 87801, even though reimbursement may be well below laboratory costs. (Lighthouse Lab Services)

Separately, Lighthouse has built an entire consulting practice around molecular infectious disease laboratories. Their infectious disease consulting page discusses laboratories transitioning into infectious disease PCR testing after COVID and specifically advertises assistance with reimbursement strategy for infectious disease PCR panels. Lighthouse Lab Services Infectious Disease & PCR Consulting (Lighthouse Lab Services)

They have also produced webinars and videos devoted to these reimbursement issues, including one titled "Navigating PCR Reimbursement Challenges in MolDx States," where founder Jon Harol discusses the policy environment surrounding PCR billing. Navigating PCR Reimbursement Challenges in MolDx States

About CPT 87798 and urine PCR

One nuance is worth mentioning.

87798 itself is not a urine-specific code. It is an "infectious agent detection by nucleic acid" code that can be used for many organisms and specimen types. For example, Quest Diagnostics uses 87798 for a urine BK virus PCR assay. (Test Directory)

The controversy arises because some commercial laboratories performing multiplex urine UTI PCR panels historically billed multiple 87798 units (one per organism), whereas CMS/MolDx has increasingly preferred treating the multiplex assay as a single test billed with 87801. That reimbursement dispute is exactly what Lighthouse's 2025 article analyzes. (Lighthouse Lab Services)

Given your background in MolDx policy, I think you'll find the Lighthouse article unusually detailed—it reads less like marketing copy and more like a practical reimbursement memo for laboratories trying to survive the transition from multiple 87798 claims to 87801 billing.

Sunday, June 28, 2026

The Future August 20 CAC - A Journalist's Time Travel

 Medicare Contractors Weigh Alzheimer Blood Tests in Multi-MAC Neurodegeneration CAC

Medicare contractors took a major step toward confronting one of the fastest-moving areas in laboratory medicine on August 20, convening a multi-contractor advisory committee on laboratory testing for neurodegenerative disease. The Noridian-led meeting focused heavily on blood-based biomarkers for Alzheimer disease, an area where commercial testing has advanced rapidly but Medicare coverage policy has remained conspicuously silent.

The session was chaired by Aparna Rajadhyaksha, MD, MBA, a Noridian medical director, and included participation from several MolDx-associated Medicare Administrative Contractors. Still, the meeting was not formally labeled a MolDx CAC, a distinction that mattered throughout the discussion. MolDx policies traditionally address DNA- and RNA-based molecular diagnostics, while the Alzheimer and Parkinson tests under discussion were protein biomarker assays, including phosphorylated tau, beta-amyloid ratios, neurofilament light chain, GFAP, and alpha-synuclein seed amplification assays.

The immediate question was not whether Medicare would cover any particular test. Dr. Rajadhyaksha made clear that the CAC was advisory and declined, when asked directly, to promise whether or when a local coverage determination would follow. But she also said the discussion had been “extremely helpful” in clarifying where the evidence is strong, where it remains uneven, and what future coverage criteria might need to address.

Seven Experts, One Central Question: Is the Field Ready?

The seven-member panel included dementia neurologists, geriatricians, laboratory medicine experts, and movement-disorder specialists: Elena Marquez, MD, University of California San Francisco; Jonathan Price, MD, Washington University in St. Louis; Meera Seshadri, MD, Mayo Clinic; Thomas Hwang, MD, University of Pennsylvania; Rachel Stein, MD, PhD, Duke University; Samuel Osei, MD, Emory University; and Katherine Bell, MD, University of Michigan.

The panelists broadly agreed that Alzheimer blood tests have moved beyond the “promising research tool” stage, at least in selected clinical settings. Several argued that high-performing plasma p-tau217-based assays, especially when combined with amyloid ratios or used in two-threshold algorithms, can meaningfully improve diagnostic workups for patients with objective cognitive impairment.

The consensus was more cautious for broad primary-care use. Panelists repeatedly distinguished symptomatic patients already undergoing dementia evaluation from asymptomatic screening. There was little support for Medicare coverage of population screening in cognitively normal older adults. But there was substantial support for using blood tests as triage tools to decide which patients need amyloid PET, CSF testing, or referral to a memory-disorders specialist.

Points of Contention and Surprise

One of the day’s sharper debates concerned whether a sufficiently accurate blood test could replace amyloid PET or CSF in some patients, rather than simply triage them. Several panelists said that for tests meeting high sensitivity and specificity thresholds, substitution is already reasonable in specialist settings. Others urged a transitional approach, with confirmatory PET or CSF still expected in ambiguous cases, before anti-amyloid therapy, or when test results do not fit the clinical picture.

A second point of contention was equity. Some panelists warned that limiting coverage to neurologists or memory clinics could worsen access, particularly in rural areas and underserved communities where specialist wait times are already long. Others countered that unrestricted ordering could lead to misinterpretation, overdiagnosis, and patient anxiety unless clinicians understand pretest probability, comorbidities, kidney disease effects, and the difference between Alzheimer pathology and clinical dementia.

A surprise was how frequently the discussion returned to operational details: specimen handling, assay cutoffs, intermediate zones, laboratory quality systems, and whether Medicare policies should be analyte-based, performance-based, or test-specific. The panelists appeared wary of both extremes: a policy so broad that weak tests ride along with strong ones, or so narrow that it freezes coverage around today’s first-generation assays.

Dr. Rajadhyaksha pressed the panelists with unusually detailed literature-based questions, asking how they would handle discordant plasma and PET findings, whether two-cutoff approaches should be expected, how often repeat testing would be clinically justified, and whether negative blood tests should redirect workups toward non-Alzheimer causes of cognitive impairment. Several panelists remarked that the questions reflected a close reading of the field rather than a generic Medicare coverage exercise.

Parkinson Testing Enters the Conversation

Although Alzheimer disease dominated the meeting, the CAC also addressed Parkinson disease and related synucleinopathies. Here the panel was more direct. Experts described CSF alpha-synuclein seed amplification testing as clinically ready, particularly because it detects underlying synuclein pathology more directly than current clinical diagnosis or dopamine transporter imaging.

Panelists emphasized that DATSCAN can support a diagnosis of parkinsonism but does not identify alpha-synuclein biology itself. By contrast, CSF alpha-synuclein assays were described as exceeding the current practical gold standard for confirming biological disease in appropriate patients. The strongest use cases included diagnostically uncertain Parkinson disease, atypical presentations, and differentiation of synucleinopathies from non-synuclein movement disorders.

By the end of the meeting, the direction of travel was clear even if the policy timetable was not. Medicare contractors appear to be preparing for a coverage framework for neurodegenerative biomarkers, likely beginning with symptomatic patients and specialist-informed diagnostic pathways. The unresolved question is how quickly coverage can catch up with a field that, in the view of many panelists, has already entered clinical medicine.