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1.
J Thorac Cardiovasc Surg ; 122(5): 907-12, 2001 Nov.
Article in English | MEDLINE | ID: mdl-11689795

ABSTRACT

OBJECTIVE: Among the TNM criteria, tumor size is a well-assessed factor in the prognosis of small tumors. A 3-cm cutoff point separates T1 from T2 tumors, whereas a size larger than 3 cm is not ascribed any prognostic value. Instead, N2 is considered to be the worst prognostic factor for intrathoracic extended disease. METHOD: The prognosis of 545 patients with non-small cell lung cancer larger than 3 cm in diameter (T2, T3, and T4) was studied. These tumors were completely resected by pneumonectomy (n = 126) or lobectomy (n = 411) or were partially resected (n = 8). Survivals were compared according to the following factors: tumor size (3.1-5 cm, 5.1-7 cm, >7 cm), nodal status, age, sex, histologic type, degree of pleural involvement, operative procedure, stage, and T factor. For the multivariate analysis, the Cox proportional hazard model was used with the same variables. RESULTS: The univariate analysis showed that age, sex, degree of pleural involvement, operative procedure, tumor size, nodal status, and stage were all significant prognostic factors. Further comparison of survival between different tumor sizes (< or =5 cm vs >5 cm) in the same nodal category demonstrated a significantly poor prognosis for larger tumors in N0 (P =.00374) and N2+N3 (P =.0157), but not in N1 (P =.3452). T2 tumors (n = 349) were divided, according to size, into T2a (n = 238) and T2b (n = 111), and survival was compared with those in T3 and T4. The 5-year survivals were 51.3%, 35.1%, 47.8%, and 25.3%, respectively. The difference between T2a and T2b was statistically significant (log-rank P =.0170, Breslow P =.0055). CONCLUSIONS: A tumor size of more than 5 cm in diameter was indicative of a poor prognosis in non-small cell lung cancer, because patients with T2b tumors had a significantly different survival from that of patients with T2a tumors, and the survival curve was located between those for patients with T3 and T4 tumors. Consequently, T2b might be upgraded to at least T3.


Subject(s)
Carcinoma, Non-Small-Cell Lung/pathology , Lung Neoplasms/pathology , Aged , Carcinoma, Non-Small-Cell Lung/mortality , Carcinoma, Non-Small-Cell Lung/surgery , Female , Humans , Lung Neoplasms/mortality , Lung Neoplasms/surgery , Male , Middle Aged , Prognosis , Proportional Hazards Models
2.
Jpn J Clin Oncol ; 28(2): 134-41, 1998 Feb.
Article in English | MEDLINE | ID: mdl-9544830

ABSTRACT

The main purpose of the study was to evaluate quality of life (QOL) among cancer patients using the WHOQOL-100 instrument and to see if any significant differences were seen in cancer stages, treatment status and prognosis. This study consisted of two parts; qualitative and quantitative. For the qualitative study, two focus groups were conducted by medical professionals to establish the applicability of the WHOQOL instrument in evaluating the QOL of cancer patients, but most participants were negative about using a generic instrument such as WHOQOL. For the quantitative study, 197 cancer patients (average age 55.86) from eight medical centers using the WHOQOL instrument, in addition to each patient's information sheet filled in by their own physicians, were analyzed. The average overall QOL score was 3.39. There was high reliability (Cronbach's alpha = 0.9685) and a high correlation between the psychological and the environmental domains (r = 0.7021), the physical domain and the level of independence (r = 0.6031) and social relations and the environment (r = 0.6856) and between health conditions perceived by patients and QOL scores. In addition, differences by gender, treatments and cancer sites were also found to be significantly different at the 5% significance level. The results indicated that the WHOQOL core instrument was sensitive enough to evaluate the QOL of cancer patients.


Subject(s)
Focus Groups , Neoplasms/psychology , Psychometrics/methods , Quality of Life , Adult , Aged , Female , Humans , Male , Middle Aged , Self-Assessment , Surveys and Questionnaires , World Health Organization
3.
J Radiat Res ; 34(1): 1-11, 1993 Mar.
Article in English | MEDLINE | ID: mdl-8320656

ABSTRACT

The mean life span of animals killed by a specific type of tumor is influenced by competing risks. The parametric inference method of Noda et al. was applied to a set of mouse experimental data in order to correct for the appearance of observed life span distribution under competing risks and to test statistical significances of difference between corrected mean life spans. Data were from an experiment on tumors induced in mice by X-rays: whole body irradiated with 600 R; head with 800 R; trunk or lower body with 800 R. The statistically significant changes were found: Whole body irradiation shortened the mean latent period of malignant lymphomas whereas the head irradiation shortened the latent periods of none of tumors. Trunk irradiation shortened mean latent periods of lung tumors. Lower body irradiation showed a tendency to shorten the mean latent periods of mammary tumors. Results that differed from the above were obtained when there was no correction for competing risks.


Subject(s)
Neoplasms, Radiation-Induced/mortality , Animals , Female , Leukemia, Radiation-Induced/mortality , Life Expectancy , Mathematics , Mice , Models, Statistical , Radiation Dosage , Risk , Survival Rate , Time Factors , Whole-Body Irradiation
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