Application of radiomics features in differential diagnosis of odontogenic cysts

被引:0
作者
Icoz, Derya [1 ]
Cetin, Bilgun [1 ]
Dinc, Kevser [1 ]
机构
[1] Selcuk Univ, Fac Dent, Dept Oral & Maxillofacial Radiol, TR-42100 Konya, Turkiye
关键词
cone beam CT; odontogenic cyst; radiomics; segmentation; HETEROGENEITY; TUMORS;
D O I
10.1093/dmfr/twae064
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Objectives Cysts in jaws may have similar radiographic features. However, it is important to clarify the diagnosis prior to surgery. The aim of this study was to compare the radiomic features of radicular cysts (RCs), dentigerous cysts (DCs), and odontogenic keratocysts (OKCs) as a non-invasive diagnostic alternative to biopsy. Methods In total, 161 odontogenic cysts diagnosed histopathologically (55 RCs, 53 DCs, and 53 OKCs) were included in the present study. Each cyst was semi-automatically segmented on CBCT images, and radiomic features were extracted by an observer. A second observer repeated 20% of the evaluations and the radiomic features. Those achieving an inter-observer agreement level above 0.850 were included in the study. Consequently, five shape-based and 22 textural features were investigated in the study. Statistical analysis was performed comparing both three cyst features and making pairwise comparisons. Results All features included in the study showed statistical differences between cysts, with the exception of one textural feature (NGTDM coarseness) (P < .05). However, only one shape-based feature (shericity) and one textural feature (GLSZM large area emphasis) were statistically different in pairwise comparisons of all three cysts (P < .05). Conclusion Radiomics features of the RCs, DCs, and OKCs showed significant differences, and may have the potential to be used as a non-invasive method in the differential diagnosis of cysts.
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页数:8
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共 38 条
  • [1] Imaging features contributing to the diagnosis of ameloblastomas and keratocystic odontogenic tumours: logistic regression analysis
    Ariji, Y.
    Morita, M.
    Katsumata, A.
    Sugita, Y.
    Naitoh, M.
    Goto, M.
    Izumi, M.
    Kise, Y.
    Shimozato, K.
    Kurita, K.
    Maeda, H.
    Ariji, E.
    [J]. DENTOMAXILLOFACIAL RADIOLOGY, 2011, 40 (03) : 133 - 140
  • [2] Athira CP, 2023, ORAL MAXILLOFAC PATH, V14, P229
  • [3] Banu AFS., 2014, Texture Based Classification of Dental Cysts, P1248, DOI [10.1109/ICCICCT.2014.6993152, DOI 10.1109/ICCICCT.2014.6993152]
  • [4] Quantitative image variables reflect the intratumoral pathologic heterogeneity of lung adenocarcinoma
    Choi, E-Ryung
    Lee, Ho Yun
    Jeong, Ji Yun
    Choi, Yoon-La
    Kim, Jhingook
    Bae, Jungmin
    Lee, Kyung Soo
    Shim, Young Mog
    [J]. ONCOTARGET, 2016, 7 (41) : 67302 - 67313
  • [5] Cohen J., 1988, STAT POWER ANAL BEHA
  • [6] Assessment of tumor heterogeneity: An emerging imaging tool for clinical practice?
    Davnall F.
    Yip C.S.P.
    Ljungqvist G.
    Selmi M.
    Ng F.
    Sanghera B.
    Ganeshan B.
    Miles K.A.
    Cook G.J.
    Goh V.
    [J]. Insights into Imaging, 2012, 3 (6) : 573 - 589
  • [7] Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis
    De Rosa, Catharina Simioni
    Bergamini, Mariana Lobo
    Palmieri, Michelle
    de Santana Sarmento, Dmitry Jose
    de Carvalho, Marcia Oliveira
    Franco Ricardo, Ana Lucia
    Hasseus, Bengt
    Jonasson, Peter
    Braz-Silva, Paulo Henrique
    Ferreira Costa, Andre Luiz
    [J]. HELIYON, 2020, 6 (10)
  • [8] Radiomics analysis in medical imaging research
    Elmahdy, Mahmoud
    Sebro, Ronnie
    [J]. JOURNAL OF MEDICAL RADIATION SCIENCES, 2023, 70 (01) : 3 - 7
  • [9] 3D Slicer as an image computing platform for the Quantitative Imaging Network
    Fedorov, Andriy
    Beichel, Reinhard
    Kalpathy-Cramer, Jayashree
    Finet, Julien
    Fillion-Robin, Jean-Christophe
    Pujol, Sonia
    Bauer, Christian
    Jennings, Dominique
    Fennessy, Fiona
    Sonka, Milan
    Buatti, John
    Aylward, Stephen
    Miller, James V.
    Pieper, Steve
    Kikinis, Ron
    [J]. MAGNETIC RESONANCE IMAGING, 2012, 30 (09) : 1323 - 1341
  • [10] Radiomics: Images Are More than Pictures, They Are Data
    Gillies, Robert J.
    Kinahan, Paul E.
    Hricak, Hedvig
    [J]. RADIOLOGY, 2016, 278 (02) : 563 - 577