Literature DB >> 35040882

Evaluating the Patient With a Pulmonary Nodule: A Review.

Peter J Mazzone1, Louis Lam1.   

Abstract

IMPORTANCE: Pulmonary nodules are identified in approximately 1.6 million patients per year in the US and are detected on approximately 30% of computed tomographic (CT) images of the chest. Optimal treatment of an individual with a pulmonary nodule can lead to early detection of cancer while minimizing testing for a benign nodule. OBSERVATIONS: At least 95% of all pulmonary nodules identified are benign, most often granulomas or intrapulmonary lymph nodes. Smaller nodules are more likely to be benign. Pulmonary nodules are categorized as small solid (<8 mm), larger solid (≥8 mm), and subsolid. Subsolid nodules are divided into ground-glass nodules (no solid component) and part-solid (both ground-glass and solid components). The probability of malignancy is less than 1% for all nodules smaller than 6 mm and 1% to 2% for nodules 6 mm to 8 mm. Nodules that are 6 mm to 8 mm can be followed with a repeat chest CT in 6 to 12 months, depending on the presence of patient risk factors and imaging characteristics associated with lung malignancy, clinical judgment about the probability of malignancy, and patient preferences. The treatment of an individual with a solid pulmonary nodule 8 mm or larger is based on the estimated probability of malignancy; the presence of patient comorbidities, such as chronic obstructive pulmonary disease and coronary artery disease; and patient preferences. Management options include surveillance imaging, defined as monitoring for nodule growth with chest CT imaging, positron emission tomography-CT imaging, nonsurgical biopsy with bronchoscopy or transthoracic needle biopsy, and surgical resection. Part-solid pulmonary nodules are managed according to the size of the solid component. Larger solid components are associated with a higher risk of malignancy. Ground-glass pulmonary nodules have a probability of malignancy of 10% to 50% when they persist beyond 3 months and are larger than 10 mm in diameter. A malignant nodule that is entirely ground glass in appearance is typically slow growing. Current bronchoscopy and transthoracic needle biopsy methods yield a sensitivity of 70% to 90% for a diagnosis of lung cancer. CONCLUSIONS AND RELEVANCE: Pulmonary nodules are identified in approximately 1.6 million people per year in the US and approximately 30% of chest CT images. The treatment of an individual with a pulmonary nodule should be guided by the probability that the nodule is malignant, safety of testing, the likelihood that additional testing will be informative, and patient preferences.

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Year:  2022        PMID: 35040882     DOI: 10.1001/jama.2021.24287

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  7 in total

1.  Case report: identification of EGFR R776H and FANCE R381H germline mutations in a patient with multiple pulmonary nodules.

Authors:  Zhenzhen Wu; Yanli Wang; Linling Jin; Juan Wei; Li Han; Junyan Su; Shuliang Cao; Siyao Liu; Xiaohong Duan; Xin Zhao
Journal:  J Cancer Res Clin Oncol       Date:  2022-09-26       Impact factor: 4.322

2.  Radiomics based on enhanced CT for differentiating between pulmonary tuberculosis and pulmonary adenocarcinoma presenting as solid nodules or masses.

Authors:  Wenjing Zhao; Ziqi Xiong; Yining Jiang; Kunpeng Wang; Min Zhao; Xiwei Lu; Ailian Liu; Dongxue Qin; Zhiyong Li
Journal:  J Cancer Res Clin Oncol       Date:  2022-08-08       Impact factor: 4.322

3.  Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT.

Authors:  Roger Y Kim; Jason L Oke; Lyndsey C Pickup; Reginald F Munden; Travis L Dotson; Christina R Bellinger; Avi Cohen; Michael J Simoff; Pierre P Massion; Claire Filippini; Fergus V Gleeson; Anil Vachani
Journal:  Radiology       Date:  2022-05-24       Impact factor: 29.146

4.  Clinical and Computed Tomography Characteristics of Solitary Pulmonary Nodules Caused by Fungi: A Comparative Study.

Authors:  Jin Jiang; Zhuo-Ma Lv; Fa-Jin Lv; Bin-Jie Fu; Zhang-Rui Liang; Zhi-Gang Chu
Journal:  Infect Drug Resist       Date:  2022-10-18       Impact factor: 4.177

5.  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

6.  Artificial Intelligence Algorithm-Based Feature Extraction of Computed Tomography Images and Analysis of Benign and Malignant Pulmonary Nodules.

Authors:  Yuantong Gao; Yuyang Chen; Yuegui Jiang; Yongchou Li; Xia Zhang; Min Luo; Xiaoyang Wang; Yang Li
Journal:  Comput Intell Neurosci       Date:  2022-09-14

7.  A predictive nomogram for lymph node metastasis in part-solid invasive lung adenocarcinoma: A complement to the IASLC novel grading system.

Authors:  Zhaoming Gao; Xiaofei Wang; Tao Zuo; Mengzhe Zhang; Zhenfa Zhang
Journal:  Front Oncol       Date:  2022-08-15       Impact factor: 5.738

  7 in total

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