Chinese journal of otorhinolaryngology head and neck surgery最新文献

Objective: To investigate the clinical features of patients with congenital atresia of the oval window (CAOW). Methods: A retrospective analysis was conducted on 7 cases (8 ears) of surgically confirmed CAOW treated at our department from July 2018 to July 2024. Among the cases, 1 patient had bilateral CAOW, and 4 patients had unilateral CAOW combined with other types of ossicular chain malformations in the contralateral ear. We collected and analyzed the clinical data, audiological features, and temporal bone HRCT results of all patients. Results: The 7 patients were diagnosed at ages ranging from 8 to 19 years, with a mean age of (13.2±6.9) years. None of the patients exhibited significant auricular deformities. All presented with conductive hearing loss or mixed hearing loss predominantly of the conductive type, with an intact tympanic membrane. The diagnosis of CAOW was confirmed via endoscopic tympanotomy, revealing a concave oval window area on the medial wall of the tympanic cavity, sealed by a bony plate. All 8 ears exhibited additional ossicular chain deformities. Stapes absence was present in all 8 ears. Partial absence of the incus long process was observed in 3 ears, while, abnormal bony connections between the incus long process and the promontory were seen in 4 ears, 1 ear had a short malleolar handle, 1 ear had a smaller than normal malleus volume. In addition, facial nerve deformities were found in 6 ears, with 4 ears showing bifurcation of the facial nerve and 2 ears showing facial nerve obscuration of the oval window. Pure-tone audiometry revealed that 62.5% (5/8 ears) of patients had air conduction (AC) thresholds≥60 dB preoperatively, with a mean pure-tone average (PTA) of (69.0±11.8) dB HL and a mean air-bone gap (ABG) of (52.0±7.0) dB. The mean AC threshold and ABG were higher in the low-frequency (125-1 000 Hz) range compared to the high-frequency (2 000-8 000 Hz) range (both P<0.05). Preoperative HRCT showed abnormalities in all patients, with 7 ears being diagnosable as CAOW. Although the remaining 1 ear could not be diagnosed as CAOW, stapes and incus long process absence were detected. Conclusion: CAOW is rare in clinical, as the patients with non-progressive conductive hearing loss (AC≥60 dB, ABG≥50 dB) since childhood, intact tympanic membrane without malformations of auricle and external auditory canal, and thick bony plate covered the oval window of the HRCT imaging, CAOW should be highly suspected, which could be confirmed by the exploratory tympanotomy.

Objective: To evaluate preoperative high-resolution thin-layer cervical enhanced CT used to predict the venous route of the submental flap reflux vein and its relationship with adjacent structures in order to guide the anatomical understanding and protection of submental flap in pharyngeal cancer surgery. Methods: Sixty consecutive patients with pharyngeal cancer who underwent submental flap repair surgery in our department from March 2022 to December 2024, as well as 60 patients who were accepted neck dissection suffering other cancers, were selected. Before surgery, high-resolution cervical enhanced CT scans were performed, and the position of the transverse section of the facial vein in the venous phase horizontal image gradually variation tendency was focused layer by layer. The direction and adjacent relationship of the submental flap reflux veins were determined and recorded. Combined with 60 patients with other head and neck tumors who underwent neck dissection in our department during the same period (a total of 120 cases, 240 sides), the classification and management of the draining veins of Fang's mental flap were conducted. Type Ⅰ mainly drains into the internal jugular vein; Type Ⅱ mainly drains into the external jugular vein and Type Ⅲ mainly drains into the anterior jugular vein (often accompanied by an external jugular draining branch). The status and proportion of venous drainage were analyzed. Results: Vascular predictive coincidence rate was 98.3% (59/60) among the 60 patients with pharyngeal cancer. Only one patient was predicted to have a simple return to the external jugular vein. However, during the operation, in addition to the main return to the external jugular vein, a small portion also returned to the internal jugular vein. Submental flap reflux vessels were classified into three types based on intraoperative submental flap venous return in 60 cases of laryngopharyngeal cancer, in conjunction with the analysis of venous return patterns from 240 cervical CT scans. Type Ⅰ mainly refluxed to the internal jugular vein, accounting for 42.1%. Type Ⅱ mainly refluxed to the external jugular vein (47.9%). Type Ⅲ mainly refluxed to the anterior jugular vein (10.0%). The total detection rate of CT reading of 240 venous reflux was 98.7% (237/240). Vascular predictive coincidence rate was 97.9%(235/240). Conclusion: The detailed analysis of submental venous return vessels can accurately predict the direction of reflux veins and its surrounding areas by preoperative high-resolution enhanced CT scan. This provides reliable guidance for the anatomy and protection of the submental flap reflux veins during surgery.

Objective: To investigate the association between hearing loss and the type of indoor fuel applications in Chinese middle-aged and elderly people through longitudinal cohort study. Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), including adults aged 45 years and older enrolled in 2011, with follow-up for cooking and heating analyses extending to 2018 and 2015, respectively. The study calculated the incidence of hearing loss based on an indoor cooking or heating fuel type and expressed in terms of per 100 person-years. The Cox proportional hazard model was used to assess the association between solid fuel use and hearing loss, and covariates such as gender, education, and economy were controlled. We also analyzed the impact of indoor fuel type and its switching on hearing loss. Results: A total of 6, 772 participants using household fuels for cooking (2011-2018) and 4, 618 for heating (2011-2015) were included. Those using solid fuels for cooking [(58.0±8.2) years] and heating [(58.1±8.5) years] were generally slightly older than that of those who used clean fuels. In the cooking analysis, the overall incidence of hearing loss was higher among solid fuel users compared to clean fuel users (Clean fuel: 2.6 cases per 100 person-years; solid fuel: 3.6 cases per 100 person-years; the difference between the two was statistically significant, P<0.05). However, no significant difference was observed in the heating analysis (P>0.05). Further classification of fuel-type use revealed that the incidence of hearing loss was the highest among people who had been using solid fuels consistently. Compared to the clean fuel group, the fully adjusted hazard ratio (HR) was 1.5 (95%CI: 1.3-1.7) in the cooking analysis and 1.5 (95%CI: 1.1-2.0) in the heating analysis. Compared with using clean fuels, switching from clean fuels to solid fuels increased the risk of hearing loss both during cooking and heating processes. Conclusion: In the CHARLS database, individuals who use solid fuels for indoor cooking and heating are older than those who use clean fuels. Compared with clean fuel use, the use of solid fuels increases the risk of hearing loss in middle-aged and elderly people. Reducing the use of solid fuels, choosing clean fuels as substitutes for solid fuels, and avoiding the switch from clean fuels to solid fuels will help protect the hearing health of middle-aged and elderly individuals.

Objective: To compare the survival outcomes of different subsequent treatment regimens in patients with locally advanced hypopharyngeal squamous cell carcinoma (HPSCC) who achieved partial response (PR) after neoadjuvant chemotherapy based on the gross tumor volume regression rate (GTVRR). Methods: This retrospective study included patients with locally advanced HPSCC treated at the Department of Head and Neck Surgery, Beijing Tongren Hospital, from January 2011 to December 2023. The cohort included 135 males and 3 females, aged from 35 to 77 years. All patients received 2-3 cycles of TPF regimen (paclitaxel+cisplatin+5-fluorouracil) neoadjuvant chemotherapy. Subsequent treatments included concurrent chemoradiotherapy or surgery combined with postoperative adjuvant radiotherapy. The impacts of different subsequent treatment modalities on the survivals and prognoses of patients were compared based on GTVRR thresholds of 50% and 70%. The χ² test was used to analyze influencing factors; survival analysis and intergroup comparisons were performed using the Kaplan-Meier method and Log-rank test; prognostic factors were assessed using univariate and multivariate Cox regression analyses. Results: The 5-year OS and PFS rates were 56.5% and 47.9%, respectively, while, the 10-year OS and PFS rates were 25.8% and 21.2%, respectively. The median OS was 75 months, and the median PFS was 48 months. The laryngeal function preservation rate for the entire cohort was 83.3%. The patients who underwent surgery combined with postoperative radiotherapy had significantly better OS and PFS outcomes than those treated with concurrent chemoradiotherapy (P<0.05). Stratification based on GTVRR revealed that the surgery plus postoperative radiotherapy regimen was particularly effective for PR patients with a GTVRR of 30%-70%, showing significantly better OS and PFS compared to the concurrent chemoradiotherapy group (P<0.05). Conclusion: The optimal subsequent treatment for PR-HPSCC may be surgery-based comprehensive treatment, particularly for patients with a GTVRR of 30%-70%. This study offers valuable insights for the stratified treatment of HPSCC, which could contribute to improving overall patient prognosis.

Objective: To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer. Methods: A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set (n=300) and a test set (n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians' diagnostic capabilities. Results: The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95%CI: 0.84-0.90) and the test set (AUC=0.88, 95%CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95%CI: 0.77-0.84, P=0.005) and 0.80 (95%CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion: This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.