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Assessing the Histological Malignancy Grade of Olfactory Neuroblastoma Using the Apparent Diffusion Coefficient Histogram Analysis.
Yamauchi, Hideomi; Baba, Akira; Akao, Ryo; Matsushima, Satoshi; Sano, Akito; Noguchi, Masaharu; Omura, Kazuhiro; Ebihara, Teru; Fukasawa, Nei; Ojiri, Hiroya.
Afiliación
  • Yamauchi H; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
  • Baba A; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
  • Akao R; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
  • Matsushima S; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
  • Sano A; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
  • Noguchi M; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
  • Omura K; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, JPN.
  • Ebihara T; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, JPN.
  • Fukasawa N; Department of Pathology, The Jikei University School of Medicine, Tokyo, JPN.
  • Ojiri H; Department of Radiology, The Jikei University School of Medicine, Tokyo, JPN.
Cureus ; 16(8): e66718, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39262562
ABSTRACT
Introduction Olfactory neuroblastoma (ONB) is a rare malignant tumor of the upper nasal cavity. The Hyams classification is an important histological grading system for diagnosing recurrence and predicting survival in ONB. This study aimed to evaluate the utility of apparent diffusion coefficient (ADC) histogram analysis in distinguishing between high-grade and low-grade ONB based on the Hyams classification system. Methods This retrospective study included 17 patients (11 males, six females; mean age 54 years, range 29-84) diagnosed with ONB who underwent pretreatment magnetic resonance imaging (MRI) including diffusion-weighted imaging between December 2017 and September 2022. Two board-certified radiologists outlined the regions of interest on ADC maps of the tumors. Mean, minimum, maximum ADC, standard deviation, skewness, kurtosis, and entropy were calculated from the ADC histograms. Patients were divided into low-grade (Hyams I-II) and high-grade (Hyams III-IV) groups based on histopathological evaluation by a board-certified pathologist. ADC histogram parameters were compared between the two groups using Mann-Whitney U tests. Two-sided p-values of < 0.05 were considered statistically significant. Results The study included 10 low-grade (two grade I, eight grade II) and seven high-grade (five grade III, one grade III/IV, one grade IV) ONB cases. Comparison between the low-grade and high-grade groups showed no statistically significant differences in any of the ADC histogram parameters analyzed mean ADC (median 1.02 vs 0.95; p = 0.591), minimum ADC (0.84 vs 0.78; p = 0.494), maximum ADC (1.06 vs 1.19; p = 0.625), standard deviation (0.09 vs 0.14; p = 0.433), skewness (-0.48 vs -0.75; p = 0.133), kurtosis (2.79 vs 3.12; p = 0.161), and entropy (4.69 vs 5.06; p = 0.315). Conclusion This study demonstrated that ADC histogram analysis was unable to differentiate between high-grade and low-grade ONB based on the Hyams classification. The findings suggest that preoperative grading of ONB malignancy using ADC histogram parameters is challenging. Thus, grading based on preoperative imaging evaluation is difficult.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos