Respiratory papillomatosis carcinoma, Volume 7(4)/2015


Patients with associated difficulties and problems that prevented surgical and oncology treatment. Patients with local relapses or continued evolution after the primary irradiation. Results and respiratory papillomatosis carcinoma We obtained the following statistical results on a sample of patients with hypopharyngeal cancer, admitted in a five-year period in the Respiratory papillomatosis carcinoma Clinic of the Clinical Emergency County Hospital of Craiova.

In the first part of the study, we make a descriptive statistic of the sample of patients, representing separately the distribution of cases according to various statistics parameters age, gender, environmental origin, county of origin, occupation, topographical diagnosis, presence or absence of adenopathy, anatomopathological diagnosis, stage, and the applied surgical treatment.

Statistical considerations and correlations in hypopharynx cancer

We realized all the computations, tables and graphs used in the statistical description with Matlab software package. For respiratory papillomatosis carcinoma definitions of the concepts and the notions of respiratory papillomatosis carcinoma used further, see Martinez et al. We detailed the distribution of cases according to the years included in the study in Table 1 and Figure 1.

Figure 1. The distribution of cases according to the years included in the study Table 1.

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Distribution of cases according to the years included in the study We show the distribution of cases according to the age groups in Table 2 and in Figure 2. Table 2.

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Distribution of cases according to the age groups Figure 2. The distribution of cases according to the age groups The patients included in the study sample came from the Oltenia counties Dolj, Gorj, Olt, Vâlcea, Mehedinţi and, in four respiratory papillomatosis carcinoma cases, from two adjacent counties Teleorman and Hunedoara.

The distribution of cases by counties appears in Table 3 and in Figure 3.

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Figure 3. The distribution of cases by county Table 3. Distribution of cases by county Considering the risk factors, it respiratory papillomatosis carcinoma interesting to study the distribution of patients related to the environmental origin, i. We detailed this in Table 4 and in Figure 4.

Consideraţii şi corelaţii statistice în cancerul de hipofaringe

Figure 4. The distribution of cases by environmental origin urban or rural Table 4.

We presented the distribution of patients by sex in Table 5 and in Figure 5. Figure 5. The distribution of cases by sex Table 5.

Întrucât cancerul cervical are o lungă perioadă de evoluţie sub forma unor leziuni precursoare, depistarea şi tratarea acestora reprezintă o măsură extrem de eficientă de prevenire a cancerului de col invaziv. Aplicarea standardelor, principiilor şi aspectelor fundamentale ale conduitei terapeutice va conduce la creşterea calităţii actului medical şi reducerea variaţiilor în practica medicală. Rezultatele privind speranţa de viaţă şi rata de success a terapiei aplicate vor putea fi atent monitorizate prin crearea unei baze de date atingânduse astfel dezideratul medicinei respiratory papillomatosis carcinoma pe dovezi cu diseminarea unor posibile noutăţi ştiinţifice.

Distribution respiratory papillomatosis carcinoma cases by sex Regarding the occupation of patients, we were interested in our study only if the patients were employed, retired, unemployed, or without occupation social cases. Figure 6. The distribution of cases by patients' occu­pa­tion Table 6.

We show in Table 7 and in Figure 7 the distribution of cases according to the localization of the neoplastic tumor.

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Figure 7. The distribution of cases according to the localization of the neoplastic tumor Table 7.

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The distribution of cases according to the localization of the neoplastic tumor In the great invasion, hypopharyngeal cancer causes adenopathy with an aggressive evolution, with ganglia immobility. We show the distribution of cases by ade­no­pathy in Table 8 and in Figure 8.

Table 8. The distribution of cases by adenopathy Figure 8. The distribution of cases by adenopathy At the hypopharynx level, from the histological point of view, cancers are in the form of epidermoid carcinomas with different forms of differentiation.

We detailed the distribution of cases by the anatomopathological diagnosis in Table 9 and in Respiratory papillomatosis carcinoma 9. Figure 9. The distribution of cases by the anatomopathological diagnosis Table 9.

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The distribution of cases by the anatomopathological diagnosis Few symptoms and the presence of only the cervical adenopathy make the patients to ask for medical help often only in the advanced stages of the disease. In Table 10 and in Figure 10 respiratory papillomatosis carcinoma detailed the distribution of cases by the staging diagnosis.

The percentages are similar to those found in the specialty literature. Figure The distribution of cases by the staging diagnosis Table The distribution of cases by the staging diagnosis For the statistical description of the surgical treatments applied on the patients from our sample, we delimited and decided to represent three categories: patients who had no surgical intervention, patients with acute respiratory failure on which were performed only tracheotomies of necessity and the patients respiratory papillomatosis carcinoma received radical surgical treatment.

We show the distribution of these categories in Table respiratory papillomatosis carcinoma and in Figure The radical surgical treatment consisted in total laryngectomy with partial pharyngectomy.

The distribution of cases by the applied surgical treatment Table The distribution of cases by the applied surgical treatment In the second part of the study, we analyze the existence of correlations between the statistical variables presented separately in the first part.

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We distinguish between two types of variables: numerical ones, as is the age in fact, the only statistical numerical variable in the study respiratory papillomatosis carcinoma, and the categorical ones gender, occupation, environmental origin, topographical diagnosis etc.

In the case of age, we analyze the distribution correlated with a categorical variable e. In addition to calculating these values, we represent the distributions of age according to other parameters by boxplot graphs see Martinez et al.

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In this situation, the age coupled with a definite variable, we used the Student test see Martinez et al. The distribution of cases by age groups and by respiratory papillomatosis carcinoma Table The distribution of cases by respiratory papillomatosis carcinoma groups and by year Figure The distribution of cases by age groups and by sex Table The distribution of respiratory papillomatosis carcinoma by age groups and by sex In the case of age distribution depending on the county of origin Table 14 and Figure 14we discovered an interesting correlation.

Within the same Student test limits, the other counties Vâlcea, Olt, Gorj have statistically the same average of the age distribution as Dolj county. With three cases, respectively one case, the Teleorman and Hunedoara counties are statistically irelevant. Age distribution depending on the county Table Age distribution depending on the county of origin Another correlation that we discovered is age — occupation Table 15 and Figure The same Student test accepts the H0 hypothesis that the employees and the social cases have the same average of the age distribution.

With four cases, the unemployed category is statistically irrelevant. Table Age and occupation distribution Figure Age and occupation distribution Also, for the age distribution related to the staging diagnosis Table 16 and Figure 16the Student reveals a statistical correlation.

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Age distribution related to the staging diagnosis Figure Respiratory papillomatosis carcinoma distribution related to the staging diagnosis In investigating the correlations between the categorical variables, the main statistical instrument is the cross table, and the statistical test that decides whether two variables are independent or not is Pearson c2 test or chi2 Martinez et al.

Further, we present pairs of categorical variables for which the Pearson test rejects the H0 statistical hypothesis that the variables are independent. We show the correlation between the topographical diagnosis and the staging diagnosis in the cross Table Figure 17 shows the histogram of the cases distribution by the topographical diagnosis and by the staging diagnosis.

The distribution respiratory papillomatosis carcinoma the topographical diagnosis and hpv during pregnancy stories the staging diagnosis Table The distribution by the topographical diagnosis and by the staging diagnosis We show in the cross Table 18 and in Figure 18 the cases distribution by the topographical diagnosis and by the surgical treatment.

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Cases distribution by the topographical diagnosis and by the applied surgical treatment Table Cases distribution by the topographical diagnosis and by the applied surgical treatment In the cross Table 19 we show the distribution by the anatomopathological diagnosis and by the applied respiratory papillomatosis carcinoma treatment. Cases distribution by the respiratory papillomatosis carcinoma diagnosis and by the applied surgical t Table Cases distribution by the anatomopathological diagnosis and by the applied surgical treatm Conclusions Respiratory papillomatosis carcinoma with laryngeal cancer, hypopharyngeal cancer represents one of the most common neoplastic pathologies in the ENT sphere.

In this paper, we performed a clinical and statistical respiratory papillomatosis carcinoma of the hypopharyngeal cancer, on a sample of patients admitted to the ENT clinic of the Clinical Emergency County Hospital of Craiova in a five-year period In the first part of the study, we synthesized through a descriptive statistics a series of statistical parameters age, gender, environmental origin, county of origin, occupation, topographical diagnosis, presence or absence of adenopathy, anatomopathological diagnosis, stage, and the applied surgical treatment.

In the second part of the study we analyzed the existence of correlations between the statistical variables presented separately in the first part.

We distinguished between numerical variables age and categorical variables gender, occupation, environmental origin, topographical diagnosis etc. The Student and Pearson chi2 statistical tests were used to elucidate respiratory papillomatosis carcinoma statistical independence of the analyzed variables.