Introduction: Poromas are benign skin-appendage tumors, and preoperative diagnosis is often challenging because of their diverse macroscopic findings.
Methods: Herein, we aimed to determine the preoperative accuracy of diagnosing poromas. We analyzed 35 patients with poromas, and classified them into four histological types and a mixed type based on Ackerman's classification.
Results: The Pinkus-type poroma was the most prevalent (21/35 lesions, 60%). The preoperative diagnostic accuracy rate was 38.1% (8/21 lesions), with 52.4% (11/21 lesions) including fibroma as a differential diagnosis. The correct preoperative diagnosis rate for the Smith-Coburn type was 40% (2/5 lesions). In the remaining 60% (3/5) of lesions, other conditions, such Bowen's disease, were included as differential diagnoses. The preoperative rate of correctly diagnosing Winkelmann-Macleod type (1 lesion) and Mayer type (2 lesions) was 0%. In two patients, the preoperative rate of correct diagnosis was 28.6% because multiple lesions were observed.
Discussion: Preoperative diagnosis of poromas remains challenging compared with that of other benign tumors. As poromas can develop into porocarcinoma, their resection is recommended. Therefore, we aim to continue accumulating cases and improve the diagnostic accuracy rate.
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