A CT-based integrated model for preoperative prediction of occult lymph node metastasis in early tongue cancer.

Background: Occult lymph node metastasis (OLNM) is an essential prognostic factor for early-stage tongue cancer (cT1-2N0M0) and a determinant of treatment decisions. Therefore, accurate prediction of OLNM can significantly impact the clinical management and outcomes of patients with tongue cancer. The aim of this study was to develop and validate a multiomics-based model to predict OLNM in patients with early-stage tongue cancer. Methods: The data of 125 patients diagnosed with early-stage tongue cancer (cT1-2N0M0) who underwent primary surgical treatment and elective neck dissection were retrospectively analyzed. A total of 100 patients were randomly assigned to the training set and 25 to the test set. The preoperative contrast-enhanced computed tomography (CT) and clinical data on these patients were collected. Radiomics features were extracted from the primary tumor as the region of interest (ROI) on CT images, and correlation analysis and the least absolute shrinkage and selection operator (LASSO) method were used to identify the most relevant features. A support vector machine (SVM) classifier was constructed and compared with other machine learning algorithms. With the same method, a clinical model was built and the peri-tumoral and intra-tumoral images were selected as the input for the deep learning model. The stacking ensemble technique was used to combine the multiple models. The predictive performance of the integrated model was evaluated for accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC-ROC), and compared with expert assessment. Internal validation was performed using a stratified five-fold cross-validation approach. Results: Of the 125 patients, 41 (32.8%) showed OLNM on postoperative pathological examination. The integrated model achieved higher predictive performance compared with the individual models, with an accuracy of 84%, a sensitivity of 100%, a specificity of 76.5%, and an AUC-ROC of 0.949 (95% CI [0.870-1.000]). In addition, the performance of the integrated model surpassed that of younger doctors and was comparable to the evaluation of experienced doctors. Conclusions: The multiomics-based model can accurately predict OLNM in patients with early-stage tongue cancer, and may serve as a valuable decision-making tool to determine the appropriate treatment and avoid unnecessary neck surgery in patients without OLNM.

Application of haemoglobin absorption spectral imaging in laryngeal papilloma surgery.

OBJECTIVE: This study compares the detection rates of haemoglobin absorption spectral imaging and white light imaging in laryngeal papilloma surgery. METHODS: Seventeen patients with laryngeal papilloma who underwent surgery in our department from September 2019 to September 2021 were selected. All patients underwent carbon dioxide laser surgery under a microscope. The lesion sites were explored in white light mode and haemoglobin absorption spectral imaging mode. The pharynx and larynx anatomical sites were evaluated using Derkay's all-position scoring system. The numbers and scores for lesions observed in the two modes were compared. RESULTS: In 17 cases, there were statistically significant differences in the numbers of laryngeal papillomas (Derkay score) detected by white light mode and haemoglobin absorption spectral imaging mode. In 9 of 17 patients (52.94 per cent), the haemoglobin absorption spectral imaging mode showed additional diseased tissues. CONCLUSION: The haemoglobin absorption spectral imaging mode can dynamically identify diseased tissues in carbon dioxide laser surgery under a microscope and improve the laryngeal papilloma detection rate.

Endoscope-Assisted Resection of Benign Parotid Tumors via Concealed Post-Auricular Sulcus Incision.

OBJECTIVES: To investigate the feasibility, safety, and effectiveness of endoscopic-assisted resection of benign parotid tumors via concealed post-auricular sulcus incision. METHODS: Between October 2019 and March 2021, eligible patients with diagnosed benign parotid tumors were prospectively included and randomly assigned to two groups: the endoscope-assisted post-auricular sulcus incision group (endoscope group) and the conventional Blair "S" incision group (conventional group). RESULTS: A total of 45 patients were finally included, including 24 subjects in the endoscope group and 21 subjects in the conventional group. No obvious differences were observed in basic information between these two groups of patients. The surgical incision length in endoscope group patients was 4.0 ± 0.4 cm, which was significantly shorter than that in conventional group patients, 10.3 ± 1.6 cm (p < 0.001). The total intraoperative blood loss, the first post-operative day drainage volume, the total post-operative drainage volume, and the total drainage days were all significantly lower in endoscope group patients than in conventional group patients (all p < 0.05). Among 3 months follow-ups, no local recurrence or residual tumor were found in both groups of patients, and there were none of them had permanent facial paralysis or parotid fistula. The self-evaluated appearance satisfaction VAS scores of endoscope group patients were all 0, which was significantly lower than that of conventional group patients, 4.7 ± 1.6 (p < 0.001). CONCLUSION: Compared with the conventional Blair "S" incision surgery, the endoscope-assisted resection of the benign parotid tumors via concealed post-auricular sulcus incision was safe and effective and showed advantages of faster recovery and better self-assessments of appearance satisfaction. LEVEL OF EVIDENCE: 2 Laryngoscope, 133:133-138, 2023.