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Perhimpunan Dokter Paru Indonesia - Relationship between risk factors for lung cancer and tumor size
Relationship between risk factors for lung cancer and tumor size
Tanggal: 19/04/18
Topik: Medis


The probability of developing lung cancer (LC) can be predicted from mathematical models to assess risk factors. Our hypothesis is that these factors could be related with tumor size.

Introduction: The probability of developing lung cancer (LC) can be predicted from mathematical models to assess risk factors. Our hypothesis is that these factors could be related with tumor size.

Objectives: Describe characteristics of a population with LC and assess the relationship between risk factors and tumor size.

Methods: Retrospective study in which were included patients diagnosed with LC in our hospital for a year. Medical history and radiology information was collected. The volume of the tumor size was calculated from the three diameters of the tumor.


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Results:
212 patients patients were included, 112(80 %) men. Age 66 (10) years. BMI 27(4). Smoking history in 192 (91%), 93 (44 %) were current smokers. Smoking intensity:52(23) packs cigarettes-year. 45 (21%) had a high risk profession. COPD 80 (38%), radiology emphysema 43 (20 %). Personal history of cancer in 45 (21%) and family history of LC in 21 (10%).The most common symptoms were: pain (24%), dyspnea (20 %). Were incidental findings 22% of cases. Tumor types: non-small 83 % (46 % adeno). Tumor stage: III-IV 72%. Tumoral volume:77184(173402)mm3.
Tumor size was directly related to female sex (p<0.001), absence of comorbidity and the presence of general syndrome (p<0.05) and inversely related to the existence of COPD (p<0.05) and history of other malignancies (p<0.05). The relationship with smoking was expressed as “U”, small and large tumors occur in patients who smoke more, and medium tumors in fewer smokers (p<0.001).

Conclusions: Tumor size seems to be more related with social and health situation than risk factors. Tobacco has a relationship with the size, probably influenced by the increased monitoring of patients with other associated comorbidities.

 

Begoña Palomo Antequera1, Miguel Arias-Guillen1, Francisco Rodríguez Jerez1, Gemma Rubinos Cuadrado1, Pablo Martínez Camblor2, Juan Bautista García Casas3 and Pere Casán Clara4
1Pneumology, INS-HUCA, Oviedo, Asturias, Spain, 2Statistical Department, Universidad de Oviedo, Oviedo, Asturias, Spain, 3Epidemiology Department, Facultad de Medicina. Universidad de Oviedo, Oviedo, Asturias, Spain, 4Pneumology, INS-HUCA.Facultad de Medicina. Universidad de Oviedo, Oviedo, Asturias, Spain






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