Evidence map›Paper›PMID 41956508›Full record

ArticleJournal of rhinology : official journal of the Korean Rhinologic Society2026

Radiologic Features for Differentiating Sinonasal Inverted Papilloma and Squamous Cell Carcinoma Arising From Inverted Papilloma Without Bone Destruction.

Hyeon-Su Kim, Hak Jin Kim, Ji-Hwan Park, Sung-Dong Kim, Sue Jean Mun, Kyu-Sup Cho

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Article in Journal of rhinology : official journal of the Korean Rhinologic Society, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hyeon-Su KimDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Republic of Korea.
Hak Jin KimDepartment of Radiology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.
Ji-Hwan ParkDepartment of Otorhinolarygology and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Sung-Dong KimDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Republic of Korea.
Sue Jean MunDepartment of Otorhinolarygology and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Kyu-Sup ChoDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDifferentiating inverted papilloma (IP) from squamous cell carcinoma arising in IP (IP+SCC) is challenging when computed tomography (CT) demonstrates no bone destruction. This study aimed to identify CT and magnetic resonance imaging (MRI) features that distinguish IP from IP+SCC in cases without bone destruction on CT.

methodsWe retrospectively reviewed 30 patients with histologically confirmed sinonasal IP (n=15) or IP+SCC (n=15) who underwent preoperative CT and MRI between 2010 and 2023. Imaging variables assessed included tumor origin, tumor volume, CT enhancement pattern, signal intensity on T2-weighted and contrast-enhanced T1-weighted images, apparent diffusion coefficient (ADC), and the presence or loss of the convoluted cerebriform pattern (CCP). Group differences were analyzed using appropriate statistical tests, with p<0.05 considered statistically significant.

resultsThere was no statistically significant difference in tumor origin between the IP and IP+SCC groups. Tumor volume and CT enhancement patterns also did not differ significantly between the groups. On MRI, IP+SCC more frequently demonstrated intermediate signal intensity on both T2-weighted and contrast-enhanced T1-weighted images compared with IP (p=0.025 and p=0.029, respectively). Median ADC values were significantly lower in the IP+SCC group than in the IP group (0.99×10-3 vs. 1.20×10-3 mm2/s; p=0.026). Loss of the CCP was more common in the IP+SCC group, although the difference did not reach statistical significance.

conclusionIn sinonasal IP without bone destruction on CT, MRI appears to be more informative than CT for distinguishing IP+SCC from IP. Intermediate signal intensity on T2-weighted and contrast-enhanced T1-weighted images, along with lower ADC values, supports malignant transformation, whereas tumor size, CT enhancement, and CCP alone are less reliable discriminators.

Indexed as

Carcinoma, squamous cellMagnetic resonance imagingPapilloma, invertedParanasal sinus neoplasmsTomography, spiral computed

Identifiers

PMID41956508
PMCPMC13065420

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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 OpenQuestion graph.