석준걸 교수

Carcinoma ex pleomorphic adenoma (CXPA) arises from the primary or recurrent benign pleomorphic adenoma. The purpose of this study was to evaluate the clinical features that could be referenced in the differentiation. The medical records of 221 patients with pleomorphic adenoma and 15 patients with CXPA were retrospectively reviewed. Clinical characteristics, computed tomography and magnetic resonance imaging findings, and surgical pathology were analyzed. Patients with CXPA were older (55.1 vs

Sublingual gland or minor salivary glands ACC has a higher risk of lung metastasis. If the site is not considered, the following factors increased the risk of lung metastasis; (a) size ≥2.5 cm, (b) perineural invasion, and (c) local recurrence.

There were significant correlations between BTT scores and self-rated severity scales (r = 0.619, p < 0.001) and between CCSIT scores and self-rated severity scales (r = 0.597, p < 0.001) after adjustment for age, sex, and medical conditions. Using discriminant analysis for both BTT and CCSIT, scores 0-4 could be statistically rated as anosmia, scores 5 and 6 as severe hyposmia, scores 7 and 8 as moderate hyposmia, and scores 9-12 as normosmia (Wilks's lambda = 0.605, p < 0.001 for BTT and Wilks

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The aim of this study was to evaluate the usefulness of a personalized 3D-printed thyroid model that characterizes a patient's individual thyroid lesion. The randomized controlled prospective clinical trial (KCT0005069) was designed. Fifty-three of these patients undergoing thyroid surgery were randomly assigned to two groups: with or without a 3D-printed model of their thyroid lesion when obtaining informed consent. We used a U-Net-based deep learning architecture and a mesh-type 3D modeling te

Abstract Objectives The purpose of this study was to create a deep learning model for the detection and segmentation of major structures of the tympanic membrane. Methods Total 920 tympanic endoscopic images had been stored were obtained, retrospectively. We constructed a detection and segmentation model using Mask R-CNN with ResNet-50 backbone targeting three clinically meaningful structures: (1) tympanic membrane (TM); (2) malleus with side of tympanic membrane; and (3) suspected perforation a

Although three-dimensional (3D)-printed anatomic models are not new to medicine, the high costs and lengthy production times entailed have limited their application. Our goal was developing a new and less costly 3D modeling method to depict organ-tumor relations at faster printing speeds. We have devised a method of 3D modeling using tomographic images. Coordinates are extracted at a specified interval, connecting them to create mesh-work replicas. Adjacent constructs are depicted by density var

Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease to help clinicians. The development of artificial intelligence algorithms, such as machine learning, led by the latest deep learning technology, began with a binary classification that distinguishes normal and pathological voices; consequently, it has contributed in improving the accuracy of multi-c

Parameters measured by singing VRP showed a trend similar to the change in VHI-10 and the maximum F₀ of standard VRP. In addition, singing VRP allowed a qualitative classification of the postoperative voice function when combined with standard VRP. Therefore, it can be used as a supplementary voice evaluation tool to reflect the physiologic and functional aspects of voice.

Due to the low incidence and histologic diversity of salivary gland cancer, analyzing the incidence of salivary gland cancer is necessary to understand the macroscopic aspects. We intend to investigate the international trend of the reported incidence rate of salivary gland cancer. Using the Korea Central Cancer Registry data, the domestic change in the incidence rate was examined. As a result, a significant increasing trend was confirmed, consistent with the United States and Japan trends. The

For oropharyngeal squamous cell carcinoma (OPSCC), there are not enough additional robust biomarkers for subgrouping after the distinct classification using p16. As SOX2 is an emerging biomarker for cancer treatment, its clinical implication in OPSCC was evaluated using a consecutive tissue microarray (TMA) cohort consisting of 111 patients who underwent surgery as an initial treatment from May 2002 to December 2016 and 79 patients in The Cancer Genome Atlas (TCGA) dataset. In both datasets, p16

These findings suggest that dedifferentiation in thyroid cancer is associated with an immunosuppressive TME that promotes tumor progression. Therapeutic strategies targeting JAK-STAT and VEGF pathways, or enhancing NK cell activity, may hold promises for aggressive thyroid cancers. Further studies with larger cohorts are necessary to validate these findings and develop targeted therapies for aggressive thyroid cancers.