Literature DB >> 27259379

Imaging for the Pretreatment Staging of Small cell Lung Cancer: A Systematic Review.

Matthew D Mitchell1, Charu Aggarwal2, Amy Y Tsou3, Drew A Torigian4, Jonathan R Treadwell3.   

Abstract

BACKGROUND: Small cell lung cancer (SCLC) is an aggressive form of lung cancer. Accurate staging is essential to select the optimal treatment plan to maximize survival. No consensus exists on standard imaging modalities for pretreatment staging of SCLC.
MATERIALS AND METHODS: We conducted a systematic review of the literature on imaging modalities in the pretreatment staging of SCLC. A systematic search of multiple databases identified relevant studies published from 2000 through June 2015. Outcomes of interest included test concordance, staging accuracy (sensitivity and specificity), choice of treatment, timeliness of treatment, and patient outcomes.
RESULTS: The search identified 2880 citations; 7 studies met inclusion criteria, n = 408 patients. Six of the seven studies were deemed to have moderate risk of bias, and one was deemed to have high risk of bias. One of the studies reported test concordance, three studies reported comparative accuracy of testing strategies, and four studies reported the accuracy of a single imaging modality. Analysis from these studies revealed that fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) is more sensitive than multidetector CT for detecting osseous metastases, more sensitive than bone scintigraphy for detecting osseous metastases, and more sensitive for detecting any distant metastases.
CONCLUSIONS: Evidence is sparse on the use of imaging in the pretreatment staging of SCLC. There is a lack of evidence on patient-oriented outcomes and a lack of evidence on whether comparative accuracy or effectiveness is associated with patient factors. We found low-strength evidence suggesting that FDG-PET/CT is more sensitive than CT and bone scintigraphy for detecting osseous metastases.
Copyright © 2016 The Association of University Radiologists. All rights reserved.

Entities:  

Keywords:  Small cell lung cancer (SCLC); computed tomography (CT); magnetic resonance imaging (MRI); neoplasm staging, positron emission tomography/computed tomography (PET/CT)

Mesh:

Year:  2016        PMID: 27259379     DOI: 10.1016/j.acra.2016.03.017

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

Review 1.  Treatment of limited disease small cell lung cancer: the multidisciplinary team.

Authors:  Markus Glatzer; Achim Rittmeyer; Joachim Müller; Isabelle Opitz; Alexandros Papachristofilou; Ioannis Psallidas; Martin Früh; Diana Born; Paul Martin Putora
Journal:  Eur Respir J       Date:  2017-08-24       Impact factor: 16.671

2.  Analysis of unexpected small cell lung cancer following surgery as the primary treatment.

Authors:  Haitang Yang; Jianlin Xu; Feng Yao; Shunqing Liang; Heng Zhao
Journal:  J Cancer Res Clin Oncol       Date:  2018-10-20       Impact factor: 4.553

3.  Association of Chemoradiotherapy With Outcomes Among Patients With Stage I to II vs Stage III Small Cell Lung Cancer: Secondary Analysis of a Randomized Clinical Trial.

Authors:  Ahmed Salem; Hitesh Mistry; Matthew Hatton; Imogen Locke; Isabelle Monnet; Fiona Blackhall; Corinne Faivre-Finn
Journal:  JAMA Oncol       Date:  2019-03-14       Impact factor: 31.777

4.  18F-Fludeoxyglucose PET/CT in SCLC: Analysis of the CONVERT Randomized Controlled Trial.

Authors:  Prakash Manoharan; Ahmed Salem; Hitesh Mistry; Michael Gornall; Susan Harden; Peter Julyan; Imogen Locke; Jonathan McAleese; Rhona McMenemin; Nazia Mohammed; Michael Snee; Sarah Woods; Thomas Westwood; Corinne Faivre-Finn
Journal:  J Thorac Oncol       Date:  2019-04-16       Impact factor: 15.609

5.  Consolidation radiotherapy for patients with extended disease small cell lung cancer in a single tertiary institution: impact of dose and perspectives in the era of immunotherapy.

Authors:  Karmen Stanic; Martina Vrankar; Jasna But-Hadzic
Journal:  Radiol Oncol       Date:  2020-07-29       Impact factor: 2.991

  5 in total

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