ArticleKorean journal of radiology2021
MRI Predictors of Malignant Transformation in Patients with Inverted Papilloma: A Decision Tree Analysis Using Conventional Imaging Features and Histogram Analysis of Apparent Diffusion Coefficients.
Article in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Identifying sinonasal inverted papilloma by machine learning: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Safety and efficacy of selumetinib in pediatric and adult patients with neurofibromatosis type 1 and plexiform neurofibroma.Neuro-oncology · 2024Trial
- Radiologic Features for Differentiating Sinonasal Inverted Papilloma and Squamous Cell Carcinoma Arising From Inverted Papilloma Without Bone Destruction.Journal of rhinology : official journal of the Korean Rhinologic Society · 2026Article
- Preoperative prediction of malignant transformation in sinonasal inverted papilloma: a novel MRI-based deep learning approach.European radiology · 2025Article
- Differences in Imaging and Histology Between Sinonasal Inverted Papilloma with and Without Squamous Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2025Article
- Assessing MRI interpretability of the orbit, paranasal sinuses, and nasopharynx in cochlear implant patients.Frontiers in neurology · 2025Article
- Review
- Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma.Dento maxillo facial radiology · 2023Article
- Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography.European journal of nuclear medicine and molecular imaging · 2023Article
- A new biomarker combining multimodal MRI radiomics and clinical indicators for differentiating inverted papilloma from nasal polyp invaded the olfactory nerve possibly.Frontiers in neurology · 2023Article
- Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePreoperative differentiation between inverted papilloma (IP) and its malignant transformation to squamous cell carcinoma (IP-SCC) is critical for patient management. We aimed to determine the diagnostic accuracy of conventional imaging features and histogram parameters obtained from whole tumor apparent diffusion coefficient (ADC) values to predict IP-SCC in patients with IP, using decision tree analysis. MATERIALS AND
methodsIn this retrospective study, we analyzed data generated from the records of 180 consecutive patients with histopathologically diagnosed IP or IP-SCC who underwent head and neck magnetic resonance imaging, including diffusion-weighted imaging and 62 patients were included in the study. To obtain whole tumor ADC values, the region of interest was placed to cover the entire volume of the tumor. Classification and regression tree analyses were performed to determine the most significant predictors of IP-SCC among multiple covariates. The final tree was selected by cross-validation pruning based on minimal error.
resultsOf 62 patients with IP, 21 (34%) had IP-SCC. The decision tree analysis revealed that the loss of convoluted cerebriform pattern and the 20th percentile cutoff of ADC were the most significant predictors of IP-SCC. With these decision trees, the sensitivity, specificity, accuracy, and C-statistics were 86% (18 out of 21; 95% confidence interval [CI], 65-95%), 100% (41 out of 41; 95% CI, 91-100%), 95% (59 out of 61; 95% CI, 87-98%), and 0.966 (95% CI, 0.912-1.000), respectively.
conclusionDecision tree analysis using conventional imaging features and histogram analysis of whole volume ADC could predict IP-SCC in patients with IP with high diagnostic accuracy.
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