Carcinoma ; diagnosis ; pathology ; Humans ; Laryngeal Neoplasms ; diagnosis ; pathology ; Larynx ; pathology

OBJECTIVETo investigate the histopathological subjective difference of laryngeal epitheliual premalignant lesions and to analyze the prognosis of every grade of laryngeal epitheliual premalignant lesion.

METHODSAccording to 2005 WHO classification system, 237 cases of laryngeal epitheliual premalignant lesions were reviewd by 3 pathologists, meanwhile, the histopathological consistency among 3 pathologists was estimated with κ-statistics method. The Kaplan-Meier survival analysis were performed to assess the prognosis of every grade of laryngeal epitheliual premalignant lesion with follow-up data.

RESULTSThere was totally a moderate consistency among 3 pathologists (κ values: 0.598 9), the histopathological difference was mainly between mild dysplasia and moderate dysplasia and between severe dysplasia and carcinoma in situ. The follow-up duration was between 18-120 months, and the median follow-up duration was 38 months. The carcinoma trsnformation rate was 8.44% (20/237) with an average malignant transformation duration of (19.45 ± 7.32) months, which was increased with the degree of dysplasia(mild dysplasia:1.67%, moderate dysplasia:3.57%, severe dysplasia:10.60%, carcinoma in situ:18.18%), no difference could be found between mild and moderate dysplasia, between moderate and severe dysplasia; Moreover, there was no difference between severe dysplasia and carcinoma in situ (P > 0.05).

CONCLUSIONSThe histopathological variability brought the uncertainty for classification of laryngeal epitheliual premalignant lesions, which might have an impact on clinical management of laryngeal epitheliual premalignant lesions; there was obvious difference in carcinoma transformation between low-risk and high-risk laryngeal epitheliual premalignant lesions, and more attention on treatment and prognosis assessment should be paid for severe dysplasia as carcinoma in situ.

Cell Transformation, Neoplastic ; Humans ; Hyperplasia ; Laryngeal Diseases ; Laryngeal Neoplasms ; diagnosis ; Larynx ; Male ; Precancerous Conditions ; diagnosis ; Prognosis

PURPOSE: To determine the value of CT(Computerized Tomography) in the diagnosis of laryngeal tuberculosis and to assess to what extent its characteristic findings different from those of aryngeal carcinoma. Materials and Methods : CT scans of twelve patients with laryngeal tuberculosis were reviewed and compared with those of fifteen patients with laryngeal cancer, retrospectively. Clinical symptoms, laryngoscopic examinations and the presence of pulmonary tuberculosis on chest radiographs were also reviewed. RESULTS: In laryngeal tuberculosis, bilater alsymmetric or asymmetric involvement was noted in nine(75%) patients, while unilateral involvement was seen in three(25%). This was significantly different from laryngeal cancer in which unilateral involvement was noted in twelve patients(80%). Diffuse thickening of the free margin of the epiglottis was a characteristic and frquent finding in tuberculosis(n=6, 50%). No deep submucosal infiltration of preepiglottic and paralaryngeal fat spacesis seen in tuberculosis in spite of large areas of involvement of laryngeal mucosa, while twelve patients(80%) with laryngeal cancer showed thickened deep infiltration which resulted in a submucosal mass. CONCLUSION: CT was useful in the diagnosis of laryngeal tuberculosis and its CT findings wee characterized by bilateral involvement, thickening of the free margin of the epiglottis and good preservation of preepiglottic and paralaryngeal fatspaces in spite of large areas of involvement.
Diagnosis ; Epiglottis ; Humans ; Laryngeal Mucosa ; Laryngeal Neoplasms ; Radiography, Thoracic ; Retrospective Studies ; Tomography, X-Ray Computed ; Tuberculosis ; Tuberculosis, Laryngeal*

BACKGROUND AND OBJECTIVES: The survival rate of laryngeal cancer has improved in recent day. But in case of advanced cancer, radical destructive surgery is required for survival. So early detection of laryngeal cancer prevent from this disastrous condition. In this point of view, mass screening test for early detection of laryngeal cancer is necessary. Screening tests using voice has many advantages of being simple, non invasive, and requiring less space. In this system, the most important factor is the selection of acoustic parameters to be used in voice analysis. Thus authors studied the acoustic parameters that can differentiate normal, benign, malignant laryngeal diseases by an acoustic analyzing system and we also checked the availability of parameters. MATERIALS AND METHODS: We evaluated the voice analyzed data from 25 laryngeal malignancy patients, 33 benign laryngeal disease patients, 35 normal control who visited PNUH otolaryngology department from October 1996 to May 1998. A computerized speech lab. 4300B (CSL) was used to carry out the analysis of each voice sample and statistical analysis, ANOVA. Canonical analysis and cumulative frequency curve were used. RESULTS: The statistically significant parameters that can differentiate normal and malignant laryngeal disease groups were 15 parameters and can differentiate normal and benign laryngeal disease group were 9 parameters and that can differentiate benign and malignant laryngeal disease group were 7 parameters. CONCLUSION: We consider that these parameters and detection programs may be effective in development of a screening system using voice only. Developing diagnostic tools and programs would need further study of phonetics and voice engineering.
Acoustics* ; Diagnosis, Differential* ; Fibrinogen ; Humans ; Laryngeal Diseases ; Laryngeal Neoplasms ; Mass Screening ; Otolaryngology ; Phonetics ; Survival Rate ; Voice*

OBJECTIVE: To provide a basis for the prediction and early diagnosis of laryngeal cancer through data mining and analysis. METHOD: We constructed a laryngeal cancer data warehouse on Caché and combined IBM Cognos for on-line analytical processing. After building research data set, software Weka was used for feature selection and data mining. RESULT: Data warehouse of laryngeal cancer was structured and Laryngeal cancer data were multidimensional presented. It is possible to find the high relevant and potential characteristics associated with laryngeal cancer by integration and 2-phase feature subset of data mining to extract the larynx. CONCLUSION Application of data mining technology could help clinicians to find potential clinical knowledge and make early diagnosis of laryngeal cancer.
Data Mining ; Early Detection of Cancer ; Humans ; Laryngeal Neoplasms ; diagnosis ; Software

Humans ; Laryngeal Cartilages ; pathology ; Laryngeal Neoplasms ; diagnosis ; pathology ; Male ; Middle Aged ; Necrosis ; Neoplasm Recurrence, Local ; diagnosis ; Radiation Injuries ; diagnosis ; pathology

Carcinoma, Squamous Cell ; diagnosis ; virology ; Head and Neck Neoplasms ; diagnosis ; virology ; Humans ; Laryngeal Neoplasms ; diagnosis ; virology ; Papillomaviridae

Aged ; Chondroma ; diagnosis ; Diagnostic Errors ; Humans ; Laryngeal Neoplasms ; diagnosis ; Male ; Tracheal Neoplasms ; diagnosis

Adult ; Aged ; Female ; Humans ; Laryngeal Neoplasms ; diagnosis ; surgery ; Male ; Middle Aged ; Neoplasms, Muscle Tissue ; diagnosis ; surgery

Carcinoma ; diagnosis ; Granuloma, Plasma Cell ; diagnosis ; Humans ; Laryngeal Neoplasms ; diagnosis ; Larynx ; pathology