The importance of risk models for management of pulmonary nodules

被引:0
作者
Prosch, H. [1 ]
Baltzer, P. [1 ]
机构
[1] Med Univ Wien, Allgemeines Krankenhaus, Univ Radiol & Nukl Med, A-1090 Vienna, Austria
来源
RADIOLOGE | 2014年 / 54卷 / 05期
关键词
Malignancy; Computed tomography; X rays; Pre-test probability; Post-test probability; CLINICAL-PREDICTION MODEL; LUNG-CANCER; BAYESIAN-ANALYSIS; MALIGNANCY; VALIDATION; PROBABILITY; LIKELIHOOD;
D O I
10.1007/s00117-013-2600-8
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Pulmonary nodules are a frequent finding in computed tomography (CT) investigations. Further diagnostic work-up of detected nodules mainly depends on the so-called pre-test probability, i.e. the probability that the nodule is malignant or benign. The pre-test probability can be calculated by combining all relevant information, such as the age and the sex of the patient, the smoking history, and history of previous malignancies, as well as the size and CT morphology of the nodule. If additional investigations are performed to further investigate the nodules, all results must be interpreted taking into account the pre-test probability and the test performance of the investigation in order to estimate the post-test probability. In cases with a low pre-test probability, a negative result from an exact test can exclude malignancies but a positive test cannot prove malignancy in such a setting. In cases with a high pre-test probability, a positive test result can be considered as proof of malignancy but a negative test result does not exclude malignancy.
引用
收藏
页码:449 / +
页数:5
相关论文
共 50 条
[41]   Overview and Strategic Management of Subsolid Pulmonary Nodules [J].
Godoy, Myrna C. B. ;
Naidich, David P. .
JOURNAL OF THORACIC IMAGING, 2012, 27 (04) :240-248
[42]   A Practical Algorithmic Approach to the Diagnosis and Management of Solitary Pulmonary Nodules Part 2: Pretest Probability and Algorithm [J].
Patel, Vishal K. ;
Naik, Sagar K. ;
Naidich, David P. ;
Travis, William D. ;
Weingarten, Jeremy A. ;
Lazzaro, Richard ;
Gutterman, David D. ;
Wentowski, Catherine ;
Grosu, Horiana B. ;
Raoof, Suhail .
CHEST, 2013, 143 (03) :840-846
[43]   Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis [J].
Wulaningsih, Wahyu ;
Villamaria, Carmela ;
Akram, Abdullah ;
Benemile, Janella ;
Croce, Filippo ;
Watkins, Johnathan .
LUNG, 2024, 202 (05) :625-636
[44]   Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection [J].
Erdogdu, Eren ;
Ozkan, Berker ;
Duman, Salih ;
Agkoc, Melek ;
Erturk, Sukru Mehmet ;
Kara, Murat ;
Toker, Alper .
CLINICAL RESPIRATORY JOURNAL, 2022, 16 (05) :361-368
[45]   Incidental Pulmonary Nodules and Lung Cancer Screening [J].
Patel, Pooja ;
Abbas, Hatoon ;
Alghanim, Fahid ;
Deepak, Janaki .
ATS SCHOLAR, 2023, 4 (02) :243-245
[46]   Combination of Radiological and Gray Level Co-occurrence Matrix Textural Features Used to Distinguish Solitary Pulmonary Nodules by Computed Tomography [J].
Wu, Haifeng ;
Sun, Tao ;
Wang, Jingjing ;
Li, Xia ;
Wang, Wei ;
Huo, Da ;
Lv, Pingxin ;
He, Wen ;
Wang, Keyang ;
Guo, Xiuhua .
JOURNAL OF DIGITAL IMAGING, 2013, 26 (04) :797-802
[47]   Limited Value of Logistic Regression Analysis in Solid Solitary Pulmonary Nodules Characterization: A Single-Center Experience on 288 Consecutive Cases [J].
Perandini, S. ;
Soardi, G. A. ;
Motton, M. ;
Dallaserra, C. ;
Montemezzi, S. .
JOURNAL OF SURGICAL ONCOLOGY, 2014, 110 (07) :883-887
[48]   Management of solitary pulmonary nodules [J].
Adrian Gillissen .
MMW - Fortschritte der Medizin, 2015, 157 (17) :64-69
[49]   Analysis of the incidence and factors predictive of outcome in patients with head and neck cancer with pulmonary nodules [J].
Green, Richard ;
Macmillan, Mark T. ;
Tikka, Theofano ;
Bruce, Lorna ;
Murchison, John T. ;
Nixon, Iain J. .
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2017, 39 (11) :2241-2248
[50]   Differences in VA and Non-VA Pulmonary Nodules: All Evaluations Are not Created Equal [J].
New, Melissa L. ;
Hirsch, Erin A. ;
Feser, William J. ;
Malkoski, Stephen P. ;
Garg, Kavita ;
Miller, York E. ;
Baron, Anna E. .
CLINICAL LUNG CANCER, 2023, 24 (05) :407-414