Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

By H. Macmahon, J. Austin, G. Gamsu, C. Herold, J. Jett, D. Naidich, E. Patz, S. Swensen. Radiology, 2005

1,444 citations recorded by the source corpus.

Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/17a0414758896116c70742b8ac97743d9c655986

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pulmonary and Respiratory Medicine

1. Qi-Yan Dou
2. Charles A. Powell
3. Mathias Prokop
4. P. Heng
5. Lequan Yu
6. Hao Chen

In Radiology, Nuclear Medicine and Imaging

1. P. Heng
2. Hao Chen
3. Qi-Yan Dou
4. Jing Qin
5. Lequan Yu
6. Mathias Prokop
7. Andrew F. Laine
8. Balázs Harangi

Citations in the corpus

• Managing incidental findings on abdominal CT: white paper of the ACR incidental findings committee. (2010, methodology): “The initial intent was to develop guideines analogous to those produced by the Fleischner Soiety on pulmonary nodules [16] and the consensus conerences of the Society of Radiologists in Ultrasound on hyroid nodules [17] and carotid imaging [18].”
• Overdiagnosis in cancer. (2010, background): “small pulmonary nodules (40) and adrenal lesions (41,42) incidentally detected on CT.”
• SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. (2014, methodology): “Until recently, there were limited data supporting the benefit of incidental nodule detection and chest CT with management decisions guided by consensus opinion.(112) The National Lung Screening Trial has provided clear evidence of lung cancer mortality reduction with CT screening of high-risk patie”
• Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules (2017, background): “Pulmonary nodules refer to a range of lung abnormalities that are visible on lung computed tomography (CT) scans as roughly round opacities, and have been regarded as crucial indicators of primary lung cancers [1].”
• Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. (2013, neutral): “Examples are the recently revised American College of Chest Physicians (ACCP) guidelines [5], or the Fleishner Society recommendations for small solid nodules [6] or for sub-solid nodules [7].”
• The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part‐Solid Tumors in the Forthcoming Eighth Edition of the TNM Classification of Lung Cancer (2016, background): “and management guidelines and reflects tumor volume better than a single measurement.(80) Nodule volumes can also be measured either manually by delineating nodule”
• Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection (2017, background): “Based on reliable detection of lung nodules, radiologists and surgeons can perform size measurements and appearance characterizations for cancer malignancy diagnosis [6] and, if necessary, timely surgical intervention in order to increase the survival chances of patients [7], [8].”