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Record W4404196385 · doi:10.1177/19160216241296127

Fine Needle Aspirate Flow Cytometry’s Ancillary Utility in Diagnosing Non-Hodgkin Lymphoma in the Head and Neck

2024· article· en· W4404196385 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Otolaryngology - Head and Neck Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicLymphadenopathy Diagnosis and Analysis
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsHead and neckFlow cytometryMedicineLymphomaPathologyHodgkin lymphomaRadiologyNuclear medicineImmunologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: While ultrasound-guided fine-needle aspiration cell block (FNACB) is a cost-effective, expeditious, and reliable procedure used routinely in the initial evaluation of head and neck masses, it has limited efficacy in diagnosing lymphoproliferative disorders such as non-Hodgkin lymphoma (NHL). Flow cytometry performed on an fine-needle aspiration (FNA) sample [ultrasound-guided fine-needle aspirate flow cytometry or flow cytometry performed on an FNA sample (FNAFC)], has been shown to be a valuable adjunct to FNACB in the diagnosis of lymphoproliferative disorders of the spleen, kidney, and thyroid. The objective of this study was to appraise FNAFC's utility as an ancillary tool to detect NHL arising in the head and neck region in adult patients. METHODS: This is a retrospective study involving 52 adult patients with head and neck lymphadenopathies and masses suspicious for lymphoproliferative disorders, who underwent ultrasound-guided FNACB and ultrasound-guided FNAFC between January 2017 and November 2022. Patient demographics, FNACB histopathological and immunophenotypic results, postoperative histopathology results (when available), and follow-up information until May 2023 were reviewed. RESULTS: Of the 52 FNACB samples, 23 samples (44.2%) yielded a diagnosis negative for carcinoma, 20 samples (38.5%) were nondiagnostic on account of scant cellularity, 8 samples (15.4%) were suspicious for malignancy, and a single sample (1.9%) was compatible with malignancy. Regarding FNAFC samples, 37 samples (71.2%) were diagnosed as showing no evidence for a lymphoproliferative disorder, 4 samples (7.7%) as nondiagnostic because of insufficient cell count, 4 samples (7.7%) as suspicious for a lymphoproliferative neoplasm, and 7 samples (13.5%) as compatible with a lymphoproliferative neoplasm, most frequently a B-cell lymphoma. 7 of the 11 patients (63.6%) with a suspicious/positive FNAFC result underwent excisional biopsy for additional work up. Postoperative histopathology reports corroborated FNAFC's findings in 6 patients (85.7%), while the remaining patient's (14.3%) suspicious FNAFC result was discordant with postoperative histopathology results. The other 4 patients (36.4%) did not require excisional biopsy as the hemato-oncologist deemed the information provided by the FNAFC as sufficient for the diagnosis and treatment of an NHL in the specific clinical contexts of those patients. All patients with nondiagnostic (due to insufficient cell count), inconclusive, or negative FNAFC (ie, nondiagnostic of a lymphoproliferative disorder) were followed up for a mean follow-up period of 11.9 months (range: 61.2 months; SD: 10.2 months), during which no new lymphadenopathies/masses nor progression was observed. CONCLUSIONS: FNAFC is a useful and practical supplementary tool in the diagnosis of lymphoproliferative disorders in the head and neck region, principally B-cell lymphoma. While conventional FNACB offers a valuable insight into the initial work up of head and neck masses, FNAFC can routinely detect small abnormal cell populations. Furthermore, in specific clinical contexts, it can reliably diagnose NHL, thereby averting the need for an excisional biopsy in a subset of patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.290
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it