Non Small Cell Lung Cancer Treatment Algorithm

Most common presenting symptoms are cough chest pain haemoptysis dyspnoea and weight loss.

Non small cell lung cancer treatment algorithm.

Esmo has clinical practice guidelines on the following lung and chest tumours. Latest enhanced and revised set of guidelines. Treatment recommended for some patients in selected patient group. This guideline covers diagnosing and managing non small cell and small cell lung cancer.

Radiotherapy should be considered for high risk patients with stage ii disease positive or close margins lymph node involvement in the mediastinum and or extracapsular extension. Postoperative radiotherapy in non small cell lung cancer. Systematic review and meta analysis of individual patient data from nine randomised. Non small cell lung cancer t3 n0 stage iib bronchoscopy mediastinoscopy or endobronchial ultrasound fine needle aspiration ebus fna brain mri for symptomatic patients t1 2 n0 pulmonary function tests pathology 1 consistent with non small cell lung cancer history and physical chest x ray laboratory studies to.

Early and locally advanced non small cell lung cancer metastatic non small cell lung cancer thymic epithelial tumours malignant pleural mesothelioma small cell lung cancer. All newly diagnosed patients with nsclc are potential candidates for studies evaluating new forms of treatment. Approximately two thirds of patients have evidence of distant metastasis at presentation. Surgery is potentially the most curative therapeutic option for this disease.

In non small cell lung cancer nsclc results of standard treatment are poor except for the most localized cancers. It primarily develops in older adult smokers. The previous standard of care in metastatic non small cell lung cancer nsclc was to treat patients with a platinum doublet for four to six cycles and to offer second line therapy upon progression the emergence of molecular testing specifically for the epidermal growth factor receptor egfr and for anaplastic lymphoma kinase alk enables us to better tailor. Cancer treatment algorithms depict best practices for care delivery that illustrate a multidisciplinary approach for evaluating diagnosing and providing treatment recommendations and ongoing surveillance for various malignancies.

It aims to improve outcomes for patients by ensuring that the most effective tests and treatments are used and that people have access to suitable palliative care and follow up.