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Pediatric nummular headache: review of the literature and a case series with nosographic considerations

D'Agostino S, Morea A, Meo C, Tarantini M, Gambino G, Quartetti U, Ruta MR, Correnti E et al.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025

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Abstract

Background: Nummular headache (NH) is a rare, often underdiagnosed form of primary headache, characterized by pain localized to a well-circumscribed area of the scalp. Although well documented in adults, its presentation in pediatric age is still poorly understood and rarely described.

Methods: The narrative review synthesizes the few pediatric NH cases reported in the literature. Further we describe our small case series of six pediatric patients (age 9-17 years) diagnosed with NH. For each case, the following were evaluated: clinical features, age of onset, localization and form of pain, associated symptoms, family history, response to treatments and neuroradiological findings. Diagnoses were compared with ICHD-3 criteria and with data present in the literature.

Results: Five patients presented with episodic NH, one with a continuous form. The painful area ranged from 1 to 4 cm in diameter, with round, oval and rectangular shapes. Four reported migraine-like symptoms. In one case NH was secondary to Langerhans cell histiocytosis. In two patients, a rectangular-shaped area of pain was observed, suggesting the need to review the diagnostic criteria.

Conclusions: This case series highlights the clinical heterogeneity of NH in pediatric age, with episodic and continuous forms, morphological variability and migraine-like symptoms. The rectangular shape found in some cases calls into question the current nosographic limits and suggests the need for a broader pathophysiological…

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Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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