Literature DB >> 30973358

Management of the solitary pulmonary nodule.

Faria Nasim1, David E Ost.   

Abstract

PURPOSE OF REVIEW: We review the categorization and management of solitary pulmonary nodules. RECENT
FINDINGS: The National Comprehensive Cancer Network guidelines were updated in 2018 and the revised Fleischner Society guidelines were published in 2017. The revised Fleischner Society guidelines published in 2017 have less frequent follow-up recommendations for incidentally detected pulmonary nodules with longer intervals between subsequent CT scans. The updated 2018 version of National Comprehensive Cancer Network lung cancer screening guidelines provide recommendations for screen-detected nodules based on a patient's risk of cancer. New molecular assays may be of use in patients with a pretest probability of malignancy less than 50%. When these tests indicate low risk, a strategy of follow-up CT imaging may be feasible, avoiding unnecessary invasive testing. However, further clinical utility studies are needed in this area.
SUMMARY: Management options for pulmonary nodules include watchful waiting with follow-up CT imaging, PET imaging, or further invasive testing based on probability of malignancy. With a low estimated risk of malignancy in an incidentally detected solitary pulmonary nodule, longer intervals between follow-up CT scans are recommended for patients. For patients at high risk for malignancy or those with nodules of at least 8 mm, either incidentally, screen detected, or symptom driven, a diagnostic biopsy is necessary to establish the cause of a solitary pulmonary nodule.

Entities:  

Mesh:

Year:  2019        PMID: 30973358     DOI: 10.1097/MCP.0000000000000586

Source DB:  PubMed          Journal:  Curr Opin Pulm Med        ISSN: 1070-5287            Impact factor:   3.155


  7 in total

1.  Comprehensive plasma metabolomics and lipidomics of benign and malignant solitary pulmonary nodules.

Authors:  Wei Zhou; Lili Lin; Lian-Yong Jiang; Jin-Long Wu; Wei-Chen Xu; Yang Zhou; Ma-Jie Wang; Xiang-Ming Cao; Hui-Qing Lin; Jian Yang; Li-Chun Deng; Zhi-Hao Zhang; Jin-Jun Shan
Journal:  Metabolomics       Date:  2022-08-29       Impact factor: 4.747

2.  Value of Shape and Texture Features from 18F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation.

Authors:  Barbara Palumbo; Francesco Bianconi; Isabella Palumbo; Mario Luca Fravolini; Matteo Minestrini; Susanna Nuvoli; Maria Lina Stazza; Maria Rondini; Angela Spanu
Journal:  Diagnostics (Basel)       Date:  2020-09-15

Review 3.  Liquid biopsies to distinguish malignant from benign pulmonary nodules.

Authors:  Rui Tao; Wei Cao; Feng Zhu; Jinfu Nie; Hongzhi Wang; Lixiang Wang; Pengcheng Liu; Hailong Chen; Bo Hong; Dahai Zhao
Journal:  Thorac Cancer       Date:  2021-05-07       Impact factor: 3.500

4.  Diagnosis of Peripheral Pulmonary Lesions with Transbronchial Lung Cryobiopsy by Guide Sheath and Radial Endobronchial Ultrasonography: A Prospective Control Study.

Authors:  Ling Jiang; Jian Xu; Chunfang Liu; Na Gao; Jing Zhao; Xue Han; Xiaolin Zhang; Xiaohui Zhao; Yuan Liu; Weixue Wang; Junjun Zhao
Journal:  Can Respir J       Date:  2021-09-28       Impact factor: 2.409

5.  Clinical-radiological predictive model in differential diagnosis of small (≤ 20 mm) solitary pulmonary nodules.

Authors:  Hai-Cheng Zhao; Qing-Song Xu; Yi-Bing Shi; Xi-Juan Ma
Journal:  BMC Pulm Med       Date:  2021-09-05       Impact factor: 3.317

6.  Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules.

Authors:  Yavuz Sami Salihoğlu; Rabiye Uslu Erdemir; Büşra Aydur Püren; Semra Özdemir; Çağlar Uyulan; Türker Tekin Ergüzel; Hüseyin Ozan Tekin
Journal:  Mol Imaging Radionucl Ther       Date:  2022-06-27

7.  Application of CT Postprocessing Reconstruction Technique in Differential Diagnosis of Benign and Malignant Solitary Pulmonary Nodules and Analysis of Risk Factors.

Authors:  Xiaolong Chen; Bingqiang Xu
Journal:  Comput Math Methods Med       Date:  2022-08-09       Impact factor: 2.809

  7 in total

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