Literature DB >> 20222794

Lung cancer: Morphological and functional approach to screening, staging and treatment planning.

Emmanuel Coche1, Max Lonneux, Xavier Geets.   

Abstract

Lung cancer is a major problem in public health and constitutes the leading cause of cancer-related mortality in the world. Lung cancer screening with low-dose computed tomography is promising but needs to overcome many difficulties, such as the large number of incidentally discovered nodules, the radiation dose delivered to the patient during a whole screening program and its cost. The ultimate target point represented by the reduction of lung cancer-related mortality needs to be proved in large, well-designed, randomized, multicenter, prospective trials. Lung cancer staging by morphological tools seems to be limited owing to the presence of metastases in normal-sized lymph nodes. In this context, multidetector computed tomography cannot be used alone but is useful in conjunction with molecular imaging and MRI. Today, flurodeoxglucose PET-CT appears to be the most accurate method for lung cancer staging and may prevent unnecessary thoracotomies. For treatment planning, flurodeoxglucose PET-CT is playing an increasing role in radiotherapy planning at the target selection and definition steps.

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Year:  2010        PMID: 20222794     DOI: 10.2217/fon.10.7

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  4 in total

Review 1.  [(18)F]Fluorodeoxyglucose-positron emission tomography screening for lung cancer: a systematic review and meta-analysis.

Authors:  Chun-Ru Chien; Ji-An Liang; Jin-Hua Chen; Hsiao-Nin Wang; Cheng-Chieh Lin; Chih-Yi Chen; Pin-Hui Wang; Chia-Hung Kao; Jun-Jun Yeh
Journal:  Cancer Imaging       Date:  2013-12-14       Impact factor: 3.909

2.  Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer.

Authors:  Shima Sepehri; Olena Tankyevych; Taman Upadhaya; Dimitris Visvikis; Mathieu Hatt; Catherine Cheze Le Rest
Journal:  Diagnostics (Basel)       Date:  2021-04-09

3.  Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer.

Authors:  Shima Sepehri; Olena Tankyevych; Andrei Iantsen; Dimitris Visvikis; Mathieu Hatt; Catherine Cheze Le Rest
Journal:  Front Oncol       Date:  2021-10-18       Impact factor: 6.244

4.  MALDI-MS-Based Profiling of Serum Proteome: Detection of Changes Related to Progression of Cancer and Response to Anticancer Treatment.

Authors:  Monika Pietrowska; Piotr Widłak
Journal:  Int J Proteomics       Date:  2012-07-30
  4 in total

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