Quantitative assessment of the maxillary sinusitis using computed tomography texture analysis: odontogenic vs non-odontogenic etiology
Tóm tắt
The purpose of this study was to investigate computed tomography (CT) texture features of mucosal thickening of maxillary sinus mucosa to differentiate odontogenic maxillary sinusitis (OMS) from non-odontogenic maxillary sinusitis (NOMS). Eighteen OMS patients and age- and gender-matched 18 NOMS patients who underwent sinus CT were retrospectively reviewed. OMS patients were identified by histopathological examination of tissues excised at surgery combined with CT imaging findings. Patients with mucosal thickening in the maxillary sinus without apical periodontitis or advanced periodontal bone loss near the maxillary sinus on CT were defined as NOMS. Patients with thin mucosal thickening (< 10 mm), cyst, tumor, post-operative deformity, severe metal artifact precluding visualization of the maxillary sinus, and age younger than 20 years were excluded. CT texture features of the mucosal thickening were analyzed using an in-house developed Matlab-based texture analysis program. Forty-five texture features were extracted from each segmented volume. The results were tested with the Mann–Whitney U test. Six histogram features (mean, median, standard deviation, entropy, geometric mean, harmonic mean) and two gray-level co-occurrence matrix features (entropy, correlation) showed significant differences between OMS and NOMS patients. CT texture analysis revealed the quantitative differences between OMS and NOMS. The texture features can serve as a quantitative indicator of maxillary sinusitis to differentiate between OMS and NOMS and help prevent incorrect treatment choices.
Tài liệu tham khảo
citation_journal_title=Clin Radiol; citation_title=Imaging of odontogenic sinusitis; citation_author=A Whyte, R Boeddinghaus; citation_volume=74; citation_publication_date=2019; citation_pages=503-516; citation_doi=10.1016/j.crad.2019.02.012; citation_id=CR1
citation_journal_title=Stomatologija; citation_title=Odontogenic maxillary sinusitis: a review; citation_author=R Simuntis, R Kubilius, S Vaitkus; citation_volume=16; citation_publication_date=2014; citation_pages=39-43; citation_id=CR2
citation_journal_title=Int Forum Allergy Rhinol; citation_title=Formation of papillary mucosa folds and enhancement of epithelial barrier in odontogenic sinusitis; citation_author=Y Zhang, F Lan, Y Li, C Wang, L Zhang; citation_volume=9; citation_publication_date=2019; citation_pages=1281-1288; citation_doi=10.1002/alr.22277; citation_id=CR3
citation_journal_title=J Periodontol; citation_title=Staging and grading of periodontitis: framework and proposal of a new classification and case definition; citation_author=MS Tonetti, H Greenwell, KS Kornman; citation_volume=89; citation_publication_date=2018; citation_pages=S159-S172; citation_doi=10.1002/JPER.18-0006; citation_id=CR4
citation_journal_title=AJNR Am J Neuroradiol; citation_title=Calcification in chronic maxillary sinusitis: comparison of CT findings with histopathologic results; citation_author=JH Yoon, DG Na, HS Byun, YH Koh, SK Chung, HJ Dong; citation_volume=20; citation_publication_date=1999; citation_pages=571-574; citation_id=CR5
citation_journal_title=Oral Surg Oral Med Oral Pathol Oral Radiol Endod; citation_title=Maxillary sinusitis of odontogenic origin: cone-beam volumetric computerized tomography-aided diagnosis; citation_author=UP Nair, MK Nair; citation_volume=110; citation_publication_date=2010; citation_pages=53-57; citation_doi=10.1016/j.tripleo.2010.06.020; citation_id=CR6
citation_journal_title=Int J Oral-Med Sci; citation_title=Differential diagnosis between fungal maxillary sinusitis and odontogenic sinusitis using CT images; citation_author=K Ito, Y Hara, N Iizuka, E Sawada, M Suemitsu, K Kuyama; citation_volume=17; citation_publication_date=2018; citation_pages=100-107; citation_doi=10.5466/ijoms.17.100; citation_id=CR7
citation_journal_title=Clin Oral Investig; citation_title=Association between odontogenic conditions and maxillary sinus mucosal thickening: a retrospective CBCT study; citation_author=U Aksoy, K Orhan; citation_volume=23; citation_publication_date=2019; citation_pages=123-131; citation_doi=10.1007/s00784-018-2418-x; citation_id=CR8
citation_journal_title=Med Oral Patol Oral Cir Bucal; citation_title=CT maxillary sinus evaluation—a retrospective cohort study; citation_author=I Guerra-Pereira, P Vaz, R Faria-Almeida, AC Braga, A Felino; citation_volume=20; citation_publication_date=2015; citation_pages=e419-e426; citation_doi=10.4317/medoral.20513; citation_id=CR9
citation_journal_title=Dent Res J (Isfahan); citation_title=Using cone beam computed tomography to detect the relationship between the periodontal bone loss and mucosal thickening of the maxillary sinus; citation_author=M Sheikhi, NJ Pozve, L Khorrami; citation_volume=11; citation_publication_date=2014; citation_pages=495-501; citation_id=CR10
citation_journal_title=Radiology; citation_title=Evaluation of the mean and entropy of apparent diffusion coefficient values in chronic hepatitis C: correlation with pathologic fibrosis stage and inflammatory activity grade; citation_author=K Fujimoto, T Tonan, S Azuma, M Kage, O Nakashima, T Johkoh; citation_volume=258; citation_publication_date=2011; citation_pages=739-748; citation_doi=10.1148/radiol.10100853; citation_id=CR11
citation_journal_title=J Magn Reson Imaging; citation_title=Texture analysis of human liver; citation_author=D Jirák, M Dezortová, P Taimr, M Hájek; citation_volume=15; citation_publication_date=2002; citation_pages=68-74; citation_doi=10.1002/jmri.10042; citation_id=CR12
citation_journal_title=Magn Reson Med; citation_title=Texture analysis of high resolution MRI allows discrimination between febrile and afebrile initial precipitating injury in mesial temporal sclerosis; citation_author=M Carvalho Alegro, A Valotta Silva, S Yumi Bando, LR Deus, LH Matins de Castro, W Hungtsu; citation_volume=68; citation_publication_date=2012; citation_pages=1647-1653; citation_doi=10.1002/mrm.24174; citation_id=CR13
citation_journal_title=NMR Biomed; citation_title=Quantitative analysis of lumbar intervertebral disc abnormalities at 3.0 Tesla: value of T(2) texture features and geometric parameters; citation_author=ME Mayerhoefer, D Stelzeneder, W Bachbauer, GH Welsch, TC Mamisch, P Szczypinski; citation_volume=25; citation_publication_date=2012; citation_pages=866-872; citation_doi=10.1002/nbm.1803; citation_id=CR14
citation_journal_title=NMR Biomed; citation_title=A texture analysis approach to quantify ventilation changes in hyperpolarised 3He MRI of the rat lung in an asthma model; citation_author=F Risse, J Pesic, S Young, LE Olsson; citation_volume=25; citation_publication_date=2012; citation_pages=131-141; citation_doi=10.1002/nbm.1725; citation_id=CR15
citation_journal_title=Magn Reson Imaging; citation_title=Quantifying liver fibrosis through the application of texture analysis to diffusion weighted imaging; citation_author=B Barry, K Buch, JA Soto, H Jara, A Nakhmani, SW Anderson; citation_volume=32; citation_publication_date=2014; citation_pages=84-90; citation_doi=10.1016/j.mri.2013.04.006; citation_id=CR16
citation_journal_title=AJNR Am J Neuroradiol; citation_title=Using texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinomas on CT; citation_author=K Buch, A Fujita, B Li, Y Kawashima, MM Qureshi, O Sakai; citation_volume=36; citation_publication_date=2015; citation_pages=1343-1348; citation_doi=10.3174/ajnr.A4285; citation_id=CR17
citation_journal_title=J Comput Assist Tomogr; citation_title=Difference between HPV-positive and HPV-negative non-oropharyngeal head and neck cancer: texture analysis features on CT; citation_author=A Fujita, K Buch, B Li, Y Kawashima, MM Qureshi, O Sakai; citation_volume=40; citation_publication_date=2016; citation_pages=43-47; citation_doi=10.1097/RCT.0000000000000320; citation_id=CR18
citation_journal_title=AJNR Am J Neuroradiol; citation_title=CT texture analysis potentially predicts local failure in head and neck squamous cell carcinoma treated with chemoradiotherapy; citation_author=H Kuno, MM Qureshi, MN Chapman, B Li, VC Andreu-Arasa, K Onoue; citation_volume=38; citation_publication_date=2017; citation_pages=2334-2340; citation_doi=10.3174/ajnr.A5407; citation_id=CR19
citation_journal_title=Math Biosci Eng; citation_title=Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview; citation_author=J Gao, Q Jiang, B Zhou, D Chen; citation_volume=16; citation_publication_date=2019; citation_pages=6536-6561; citation_doi=10.3934/mbe.2019326; citation_id=CR20
citation_journal_title=BMC Res Notes; citation_title=Parameter set for computer-assisted texture analysis of fetal brain; citation_author=H Gentillon, L Stefańczyk, M Strzelecki, M Respondek-Liberska; citation_volume=9; citation_publication_date=2016; citation_pages=496; citation_doi=10.1186/s13104-016-2300-3; citation_id=CR21
citation_journal_title=Brain Sci; citation_title=Computer-Aided diagnosis system of Alzheimer's disease based on multimodal fusion: tissue quantification based on the hybrid fuzzy-genetic-possibilistic model and discriminative classification based on the SVDD model; citation_author=L Lazli, M Boukadoum, MO Ait; citation_volume=9; citation_publication_date=2019; citation_pages=289; citation_doi=10.3390/brainsci9100289; citation_id=CR22
citation_journal_title=Medicine (Baltimore); citation_title=Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol; citation_author=R Liu, H Li, F Liang, L Yao, J Liu, M Li; citation_volume=98; citation_publication_date=2019; citation_pages=e16227; citation_doi=10.1097/MD.0000000000016227; citation_id=CR23
citation_journal_title=IEEE Rev Biomed Eng; citation_title=Computer-aided prostate cancer diagnosis from digitized histopathology: a review on texture-based systems; citation_author=C Mosquera-Lopez, S Agaian, A Velez-Hoyos, I Thompson; citation_volume=8; citation_publication_date=2015; citation_pages=98-113; citation_doi=10.1109/RBME.2014.2340401; citation_id=CR24
citation_journal_title=Laryngoscope Investig Otolaryngol; citation_title=Odontogenic sinusitis: a review of the current literature; citation_author=RE Little, CM Long, TA Loehrl, DM Poetker; citation_volume=3; citation_publication_date=2018; citation_pages=110-114; citation_doi=10.1002/lio2.147; citation_id=CR25
citation_journal_title=J Applied Res Technol; citation_title=Multi-resolution Law’s Masks based texture classification; citation_author=S Dash, UR Jena; citation_volume=15; citation_publication_date=2018; citation_pages=571-582; citation_doi=10.1016/j.jart.2017.07.005; citation_id=CR26
citation_title=Inflammation/maxillary sinus and nasal cavity; citation_inbook_title=Diagnostic imaging oral and maxillofacial; citation_publication_date=2012; citation_pages=28-32; citation_id=CR27; citation_author=R Axel; citation_author=AM Michelle; citation_publisher=Amirsys Inc.
citation_journal_title=Comput Methods Programs Biomed; citation_title=MaZda-A software package for image texture analysis; citation_author=PM Szczypiński, M Strzelecki, A Materka, A Klepaczko; citation_volume=94; citation_publication_date=2009; citation_pages=66-76; citation_doi=10.1016/j.cmpb.2008.08.005; citation_id=CR28
citation_journal_title=AJNR Am J Neuroradiol; citation_title=Quantitative assessment of variation in CT parameters on texture features: PILot study using a nonanatomic phantom; citation_author=K Buch, B Li, MM Qureshi, H Kuno, SW Anderson, O Sakai; citation_volume=38; citation_publication_date=2017; citation_pages=981-985; citation_doi=10.3174/ajnr.A5139; citation_id=CR29
citation_journal_title=Int Arab J Inf Technol; citation_title=The Statistical quantized histogram texture features analysis for image retrieval based on median and Laplacian filters in the DCT domain; citation_author=F Malik, B Baharudin; citation_volume=10; citation_publication_date=2013; citation_pages=616-624; citation_id=CR30
citation_journal_title=Mycopathologia; citation_title=Clinicopathological and radiological features of chronic rhinosinusitis with eosinophilic mucin in Chungcheong Province of Korea; citation_author=SK Park, KW Park, JH Mo, BJ Baek, WS Shim, HJ Jung; citation_volume=184; citation_publication_date=2019; citation_pages=423-431; citation_doi=10.1007/s11046-019-00340-z; citation_id=CR31
citation_journal_title=J Thorac Dis; citation_title=The use of magnetic resonance imaging in differential diagnosis of allergic fungal sinusitis and eosinophilic mucin rhinosinusitis; citation_author=Y Meng, L Zhang, Y Piao, H Lou, K Wang, C Wang; citation_volume=11; citation_publication_date=2019; citation_pages=3569-3577; citation_doi=10.21037/jtd.2019.07.26; citation_id=CR32
citation_journal_title=Int J Sci Res Publ; citation_title=Image texture feature extraction using GLCM approach; citation_author=P Mohanaiah, P Sathyanarayana, L GuruKumar; citation_volume=3; citation_publication_date=2013; citation_pages=2250-3153; citation_id=CR33
citation_journal_title=Int J Adv Res Electron Commun Eng; citation_title=GLCM and its Features; citation_author=EK Sharma, E Priyanka, EA Kalsh, EK Saini; citation_volume=4; citation_publication_date=2015; citation_pages=2180-2182; citation_id=CR34
citation_journal_title=Eur J Radiol; citation_title=Using CT texture analysis to differentiate between nasopharyngeal carcinoma and age-matched adenoid controls; citation_author=A Tsai, K Buch, A Fujita, MM Qureshi, H Kuno, MN Chapman; citation_volume=108; citation_publication_date=2018; citation_pages=208-214; citation_doi=10.1016/j.ejrad.2018.09.012; citation_id=CR35
citation_journal_title=Heliyon.; citation_title=Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis; citation_author=CS Rosa, ML Bergamini, M Palmieri, DJS Sarmento, MO Carvalho, ALF Ricardo; citation_volume=6; citation_publication_date=2020; citation_pages=e05194; citation_doi=10.1016/j.heliyon.2020.e05194; citation_id=CR36
citation_journal_title=J Periodontol; citation_title=Texture analysis of cone-beam computed tomography images assists the detection of furcal lesion; citation_author=BC Gonçalves, EC Araújo, AD Nussi, N Bechara, D Sarmento, MS Oliveira; citation_volume=91; citation_publication_date=2020; citation_pages=1159-1166; citation_doi=10.1002/JPER.19-0477; citation_id=CR37