Objective:To discuss the application of virtual endoscopy in the diagnosis of adenoid hypertrophy and the morphologic classification of adenoid. Methods:The clinical data of 97 children with adenoid hypertrophy admitted to Department of Otorhinolaryngology Head and Neck Surgery, Shenzhen University General Hospital from July 2022 to December 2022 were collected. The virtual endoscopic reconstruction of the nasopharynx was performed by cone beam computed tomography. The results of virtual endoscopic adenoid size measurement were compared with the results of nasopharyngeal CT median sagittal position and nasopharyngeal endoscopy. Virtual endoscopic classification of adenoid based on the size of the adenoids and their relationship with the torus tubarius. Results:The t-test results of the size of adenoids measured by virtual endoscopy and nasopharyngeal CT were t=1.699 and P=0.093, and the results of intra-group correlation coefficient（ICC） analysis were ICC=0.921 and P<0.01. The proportion of adenoids measured by virtual endoscopy and nasopharyngeal CT was highly consistent. The t-test results of the size of adenoids measured virtual endoscopy and nasopharyngeal endoscopy were t=1.543 and P=0.15, and the results of intra-group correlation coefficient（ICC） analysis were ICC=0.900 and P<0.01. The proportion of adenoids measured by virtual endoscopy and nasopharyngeal endoscopy was highly consistent. Among the 97 children, the morphological classification results of adenoids were 48 cases of overall hypertrophy type, 47 cases of central bulge type, and 2 cases of flat thickening type. Conclusion:The diagnosis of adenoid hypertrophy by virtual endoscopy has high accuracy, which not only avoids the invasive operation of traditional nasopharyngeal endoscopy, but also can observe the adenoid condition and its relationship with the torus tubarius from multiple angles. And, the morphological classification of adenoids using virtual endoscopy has guiding significance for perioperative preparation.
Child ; Humans ; Adenoids/surgery* ; Nasopharynx/diagnostic imaging* ; Adenoidectomy ; Endoscopy/methods* ; Hypertrophy/surgery*

Adenoids ; diagnostic imaging ; pathology ; surgery ; Adolescent ; Child ; Child, Preschool ; Endoscopy ; Female ; Humans ; Hypertrophy ; diagnostic imaging ; pathology ; surgery ; Male ; Nasopharyngeal Diseases ; diagnostic imaging ; pathology ; surgery ; Nose ; surgery ; Radiography

BACKGROUNDOtitis media with effusion is a highly concurrent disease in young children with adenoid hypertrophy. The aim of this study was to assess the middle ear effusion and audiological characteristics in children with adenoid hypertrophy and compare the various assessment methods.

METHODSTwo hundred and seven candidates who were to undergo adenoidectomy were analyzed using otoscopy, tympanometry, air-conduction auditory steady-state responses (AC-ASSR), and computerized tomography (CT) before adenoidectomy.

RESULTSAbout 73.4% (304/414) of ears were confirmed to have middle ear effusion (MEE) by otoscopy; 75.4% (312/414) of ears revealed MEE by CT. CT scan correctly predicted all the myringotomy results, giving 100% accuracy on the diagnosis of MEE. Additionally, CT revealed two children with inner ear malformations. Type B tracing tympanogram provided a sensitivity of 91.7% and a specificity of 92.2%. Type C tympanogram with peak pressure < -200 daPa indicated effusion; type C tympanogram having acoustic stapedius reflex could exclude MEE. We excluded the AC-ASSR results of the 4 ears with malformation; 54.4% (223/410) of ears were confirmed of hearing loss. Furthermore, 5.2% (16/310) of the ears with MEE suffered from severe to profound hearing loss. The average threshold level in the 0.25 kHz frequency of children was found to have poorer hearing thresholds than those in the 0.5, 1, 2, and 4 kHz (P < 0.001) frequencies; 29.7% (92/310) of ears with MEE were regarded as normal hearing level. About 55.8% (173/310) of ears with MEE were classified as having slight-mild hearing loss.

CONCLUSIONSThe practitioners should pay much attention to the middle ear condition and be aware of a possible development of severe to profound hearing loss during the course of MEE in young children with adenoid hypertrophy. CT scan is good for the assessment of MEE before ventilation tube insertion.

Acoustic Impedance Tests ; Adenoids ; diagnostic imaging ; pathology ; surgery ; Child ; Child, Preschool ; Female ; Humans ; Male ; Otitis Media with Effusion ; diagnosis ; diagnostic imaging ; physiopathology ; surgery ; Otoscopy ; Prospective Studies ; Radiography

Objective:To explore the effect of fully automatic image segmentation of adenoid and nasopharyngeal airway by deep learning model based on U-Net network. Methods:From March 2021 to March 2022, 240 children underwent cone beam computed tomography（CBCT） in the Department of Otolaryngology, Head and Neck Surgery, General Hospital of Shenzhen University. 52 of them were selected for manual labeling of nasopharynx airway and adenoid, and then were trained and verified by the deep learning model. After applying the model to the remaining data, compare the differences between conventional two-dimensional indicators and deep learning three-dimensional indicators in 240 datasets. Results:For the 52 cases of modeling and training data sets, there was no significant difference between the prediction results of deep learning and the manual labeling results of doctors（P>0.05）. The model evaluation index of nasopharyngeal airway volume: Mean Intersection over Union（MIOU） s （86.32±0.54）%; Dice Similarity Coefficient（DSC）: （92.91±0.23）%; Accuracy: （95.92±0.25）%; Precision: （91.93±0.14）%; and the model evaluation index of Adenoid volume: MIOU: （86.28±0.61）%; DSC: （92.88±0.17）%; Accuracy: （95.90±0.29）%; Precision: （92.30±0.23）%. There was a positive correlation between the two-dimensional index A/N and the three-dimensional index AV/（AV+NAV） in 240 children of different age groups（P<0.05）, and the correlation coefficient of 9-13 years old was 0.74. Conclusion:The deep learning model based on U-Net network has a good effect on the automatic image segmentation of adenoid and nasopharynx airway, and has high application value. The model has a certain generalization ability.
Child ; Humans ; Adolescent ; Adenoids/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Pharynx ; Cone-Beam Computed Tomography ; Nose

Adenoids ; diagnostic imaging ; pathology ; Child ; Child, Preschool ; Female ; Humans ; Hypertrophy ; Magnetic Resonance Imaging ; Male ; Radiographic Image Enhancement ; methods ; Tomography, Spiral Computed ; methods