Malignant pleural mesothelioma: diagnostic value of medical thoracoscopy and long-term prognostic analysis. 2018

Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
Department of Respiratory and Critical Care Medicine; Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital, Capital Medical University, 8 Gongti Nanlu, Chaoyang District, Beijing, 100020, China.

BACKGROUND Malignant pleural mesothelioma (MPM) is marked by its difficult diagnosis and poor prognosis. Medical thoracoscopy (MT) is an effective and safe procedure for the diagnosis of exudative pleural effusions and many factors associated with poor prognosis of MPM. We conducted this study to investigate the value of MT for diagnosing of MPM and to identify prognostic factors for MPM patients. METHODS From July 2005 through June 2014, a total of 833 patients with undiagnosed pleural effusions underwent MT and pleural biopsies were taken. Clinical data of all patients with MPM were retrospectively analyzed, and those with complete follow-up data were analyzed for prognostic factors. RESULTS Eventually, MPM was the final diagnosis in 40 patients. Diagnostic efficiency of MT for MPM was 87.5%, since diagnosis of MPM failed to be established in 5 patients during the initial MT. Median survival was 17.1 mo (95% confidence interval: 13.6-20.7 mo). MT findings of pleural adhesion and plaques were adverse prognostic factors for MPM. In addition, old age, male gender, smoking history, histological type, poor staging, no treatment, low total protein level in pleural fluid, and computed tomographic findings such as pulmonary consolidation or infiltration, mediastinal lymphopathy, pulmonary mass or nodules, and pleural nodularity were also poor prognostic factors for MPM. CONCLUSIONS MT is safe with a high positive rate in the diagnosis of MPM, and pleural adhesion and plaques seen under MT may be the adverse prognostic factors for MPM. Multiple clinical characteristics can affect the survival of MPM patients.

UI MeSH Term Description Entries
D008175 Lung Neoplasms Tumors or cancer of the LUNG. Cancer of Lung,Lung Cancer,Pulmonary Cancer,Pulmonary Neoplasms,Cancer of the Lung,Neoplasms, Lung,Neoplasms, Pulmonary,Cancer, Lung,Cancer, Pulmonary,Cancers, Lung,Cancers, Pulmonary,Lung Cancers,Lung Neoplasm,Neoplasm, Lung,Neoplasm, Pulmonary,Pulmonary Cancers,Pulmonary Neoplasm
D008297 Male Males
D008654 Mesothelioma A tumor derived from mesothelial tissue (peritoneum, pleura, pericardium). It appears as broad sheets of cells, with some regions containing spindle-shaped, sarcoma-like cells and other regions showing adenomatous patterns. Pleural mesotheliomas have been linked to exposure to asbestos. (Dorland, 27th ed) Mesotheliomas
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D010994 Pleura The thin serous membrane enveloping the lungs (LUNG) and lining the THORACIC CAVITY. Pleura consist of two layers, the inner visceral pleura lying next to the pulmonary parenchyma and the outer parietal pleura. Between the two layers is the PLEURAL CAVITY which contains a thin film of liquid. Parietal Pleura,Visceral Pleura,Pleura, Parietal,Pleura, Visceral
D010997 Pleural Neoplasms Neoplasms of the thin serous membrane that envelopes the lungs and lines the thoracic cavity. Pleural neoplasms are exceedingly rare and are usually not diagnosed until they are advanced because in the early stages they produce no symptoms. Neoplasms, Pleural,Neoplasm, Pleural,Pleural Neoplasm
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China

Related Publications

Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
August 2017, BMC pulmonary medicine,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
January 2005, Ai zheng = Aizheng = Chinese journal of cancer,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
June 1996, Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
December 1979, Revue francaise des maladies respiratoires,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
January 1997, Diagnostic and therapeutic endoscopy,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
December 2018, Experimental and therapeutic medicine,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
December 2017, Oncology letters,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
September 2015, The Annals of thoracic surgery,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
May 2013, Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases,
Li-Li Xu, and Yuan Yang, and Zhen Wang, and Xiao-Juan Wang, and Zhao-Hui Tong, and Huan-Zhong Shi
May 2009, The Annals of thoracic surgery,
Copied contents to your clipboard!