Evidence map›Paper›PMID 42771255›Full record

ArticleIrish journal of medical science2026

Diagnostic value of tumor volume for differentiating between parathyroid carcinoma and adenoma.

Rıza Altunbaş, Hüseyin Karaaslan, Rabia Altunbaş

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Article in Irish journal of medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Rıza AltunbaşDepartment of Internal Medicine, Mehmet Akif Inan Training and Research Hospital, University of Health Sciences, 308th Street, Esentepe Avenue, Merkez, Ertuğrulgazi Neighborhood, Sanliurfa, Haliliye, 63040, Türkiye. draltunbas@gmail.com.ORCID http://orcid.org/0000-0002-6588-0016
Hüseyin KaraaslanDepartment of Endocrinology, School of Medicine, Harran University, Osmanbey Campus, Sanliurfa, Haliliye, 63290, Türkiye.ORCID http://orcid.org/0000-0002-1271-6298
Rabia AltunbaşDepartment of Pathology, Mehmet Akif Inan Training and Research Hospital, University of Health Sciences, 308th Street, Esentepe Avenue, Merkez, Ertuğrulgazi Neighborhood, Sanliurfa, Haliliye, 63040, Türkiye.ORCID http://orcid.org/0000-0002-5356-1448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe distinction between parathyroid carcinoma (PC) and parathyroid adenoma (PA) remains a considerable clinical challenge. This study evaluated the discriminatory performance of pathology-derived tumor volume for differentiating PC from PA and compared it with tumor length and routine biochemical parameters.

methodsThis retrospective matched case-control study included 15 PC cases and 45 age- and sex-matched PA controls treated between 2008 and 2024. Tumor volume was calculated from three-dimensional pathological specimen measurements using the ellipsoid formula. Discriminatory performance was assessed by receiver operating characteristic (ROC) analysis, with areas under the curve (AUCs) compared using DeLong's test. Parsimonious multivariable logistic regression models assessed the independent association between tumor volume and PC.

resultsTumor volume showed the highest discriminatory performance (AUC = 0.985, 95% CI: 0.914-1.000), with an exploratory pathology-derived cut-off of > 4.71 cm³ yielding 100.0% sensitivity and 97.8% specificity. Its AUC was significantly higher than those of parathyroid hormone, alkaline phosphatase, calcium, and albumin (all P < 0.05), whereas the difference from tumor length was not statistically significant (AUC = 0.937; ΔAUC = 0.048; P = 0.055). Tumor volume remained independently associated with PC after separate adjustment for PTH, ALP, calcium, and albumin (adjusted OR range, 2.017-2.446; all P ≤ 0.003).

conclusionPathology-derived tumor volume demonstrated excellent discriminatory performance for differentiating PC from PA and outperformed the evaluated biochemical markers, although its advantage over tumor length was not statistically significant. As the identified cut-off is pathology specimen-derived, prospective validation using standardized preoperative radiological volumetry is required before its clinical utility can be established.

Indexed as

Parathyroid adenomaParathyroid carcinomaPrimary hyperparathyroidismReceiver operating characteristic curveTumor volume

Identifiers

PMID42771255

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.