Literature DB >> 25940251

Diagnosing and staging lung cancer involving the mediastinum.

Septimiu Dan Murgu1.   

Abstract

The purpose of this article is to provide an update on evidence-based methods for mediastinal staging in patients with lung cancer. This is a review of the recently published studies and a summary of relevant guidelines addressing the role of CT scan, PET scan, endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA), and mediastinoscopy as pertinent to lung cancer staging and restaging. The focus is on how these diagnostic methods fit into the best algorithm for patients with chest imaging abnormalities suspected of malignant disease. Several studies, meta-analyses, and systematic reviews specifically targeted the role of PET scan, EBUS-TBNA, and mediastinoscopy for detecting mediastinal lymph node involvement in patients suffering from lung cancer. Based on the recommendations from the currently published guidelines, algorithms of care are proposed for staging and restaging of the mediastinum.

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Year:  2015        PMID: 25940251     DOI: 10.1378/chest.14-1355

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  12 in total

1.  Multidisciplinary consensus statement on the clinical management of patients with stage III non-small cell lung cancer.

Authors:  M Majem; J Hernández-Hernández; F Hernando-Trancho; N Rodríguez de Dios; A Sotoca; J C Trujillo-Reyes; I Vollmer; R Delgado-Bolton; M Provencio
Journal:  Clin Transl Oncol       Date:  2019-06-06       Impact factor: 3.405

2.  Prospective randomized trial to compare the safety, diagnostic yield and utility of 22-gauge and 19-gauge endobronchial ultrasound transbronchial needle aspirates and processing technique by cytology and histopathology.

Authors:  Christopher J Manley; Rohit Kumar; Yulan Gong; Min Huang; Shuanzeng Sam Wei; Rajeswari Nagarathinam; Alan Haber; Brian Egleston; Douglas Flieder; Hormoz Ehya
Journal:  J Am Soc Cytopathol       Date:  2021-10-23

3.  FDG-PET parameters predicting mediastinal malignancy in lung cancer.

Authors:  M Serra Fortuny; M Gallego; Ll Berna; C Montón; L Vigil; M J Masdeu; A Fernández-Villar; M I Botana; R Cordovilla; R García-Luján; E Cases; E Monsó
Journal:  BMC Pulm Med       Date:  2016-12-08       Impact factor: 3.317

Review 4.  Clinical staging of NSCLC: current evidence and implications for adjuvant chemotherapy.

Authors:  David J Heineman; Johannes M Daniels; Wilhelmina H Schreurs
Journal:  Ther Adv Med Oncol       Date:  2017-08-02       Impact factor: 8.168

Review 5.  Endoscopic ultrasound in the diagnosis of mediastinal diseases.

Authors:  Zhiguo Wang; Chunmeng Jiang
Journal:  Open Med (Wars)       Date:  2015-12-21

6.  The Role of Fluorodeoxy-D-glucose Positron Emission Tomography/Computed Tomography in Nodal Staging of Nonsmall Cell Lung Cancer in Sequential Surgical Algorithm.

Authors:  Yuyang Zhang; Yolanda Elam; Patricia Hall; Hadyn Williams; Darko Pucar; Vijay Patel
Journal:  World J Nucl Med       Date:  2017 Oct-Dec

7.  Slow-pull capillary technique versus suction technique in endobronchial ultrasound-guided transbronchial needle aspiration for diagnosing diseases involving hilar and mediastinal lymph node enlargement.

Authors:  Xin He; Yanjun Wu; Haoyan Wang; Ganggang Yu; Bo Xu; Nan Jia; Zhigang Yao
Journal:  Ther Adv Respir Dis       Date:  2020 Jan-Dec       Impact factor: 4.031

8.  Yield of new versus reused endobronchial ultrasound-guided transbronchial needle aspiration needles: A retrospective analysis of 500 patients.

Authors:  Sahajal Dhooria; Inderpaul Singh Sehgal; Nalini Gupta; Babu Ram; Ashutosh Nath Aggarwal; Digambar Behera; Ritesh Agarwal
Journal:  Lung India       Date:  2016 Jul-Aug

9.  Solid part size is an important predictor of nodal metastasis in lung cancer with a subsolid tumor.

Authors:  Jun Yeun Cho; Cho Sun Leem; Youlim Kim; Eun Sun Kim; Sang Hoon Lee; Yeon Joo Lee; Jong Sun Park; Young-Jae Cho; Jae Ho Lee; Choon-Taek Lee; Ho Il Yoon
Journal:  BMC Pulm Med       Date:  2018-09-10       Impact factor: 3.317

10.  Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation.

Authors:  Shuli Hu; Man Luo; Yaling Li
Journal:  Cancer Manag Res       Date:  2021-06-17       Impact factor: 3.989

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