Distribution of Solid Solitary Pulmonary Nodules within the Lungs on Computed Tomography: A Review of 208 Consecutive Lesions of Biopsy-Proven Nature

被引:6
作者
Perandini, Simone [1 ]
Soardi, Gianalberto [1 ]
Motton, Massimiliano [1 ]
Oliboni, Eugenio [1 ]
Zantedeschi, Lisa [1 ]
Montemezzi, Stefania [1 ]
机构
[1] AOUI, Dept Radiol, Verona, Italy
关键词
Carcinoid Tumor; Multidetector Computed Tomography; Solitary Pulmonary Nodule;
D O I
10.12659/PJR.895417
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
Background: The solitary pulmonary nodule (SPN) is a common radiologic abnormality on chest x-rays or computed tomography (CT) scans of the lungs. The differential diagnosis of SPNs is particularly wide as it includes a multitude of benign as well as malignant entities. Nodule location within the lungs has been proposed as a predictive feature in the literature. This study aims at illustrating the distribution within the lungs of a large current series of consecutive SPNs according to their histological subtype, which was definitely proved at core biopsy. Material/Methods: Two hundred-eight SPNs referred to our center for characterization were reviewed in this singlecentre retrospective study. Histological subtypes were defined following the IASLC/ATS/ERS and WHO (2004) histological classification. Results: This study provides evidence with respect to the prevalence of adenocarcinomas and other nonneuroendocrine primary lung cancer types in the right upper lobe. It also provides new evidence with respect to the prevalence of carcinoid tumors in the middle and right lower lobe, with a tendency to occur in the central lung parenchyma. Conclusions: This work updates existing knowledge of solid SPNs location within the lungs by providing a current picture of SPN distribution according to their nature.
引用
收藏
页码:146 / 151
页数:6
相关论文
共 15 条
  • [1] Albert RH, 2009, AM FAM PHYSICIAN, V80, P827
  • [2] The 2004 World Health Organization classification of lung tumors
    Beasley, MB
    Brambilla, E
    Travis, WD
    [J]. SEMINARS IN ROENTGENOLOGY, 2005, 40 (02) : 90 - 97
  • [3] BYERS TE, 1984, JNCI-J NATL CANCER I, V72, P1271
  • [4] FREQUENCY OF DISTRIBUTION ACCORDING TO HISTOLOGICAL TYPES OF LUNG-CANCER IN THE TRACHEOBRONCHIAL TREE
    CELIKOGLU, SI
    AYKAN, TB
    KARAYEL, T
    DEMIRCI, S
    GOKSEL, FM
    [J]. RESPIRATION, 1986, 49 (02) : 152 - 156
  • [5] Evaluation of patients with pulmonary nodules: When is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition)
    Gould, Michael K.
    Fletcher, James
    Iannettoni, Mark D.
    Lynch, William R.
    Midthun, David E.
    Naidich, David P.
    Ost, David E.
    [J]. CHEST, 2007, 132 (03) : 108S - 130S
  • [6] DETERMINING THE LIKELIHOOD OF MALIGNANCY IN SOLITARY PULMONARY NODULES WITH BAYESIAN-ANALYSIS .2. APPLICATION
    GURNEY, JW
    LYDDON, DM
    MCKAY, JA
    [J]. RADIOLOGY, 1993, 186 (02) : 415 - 422
  • [7] Fleischner Society:: Glossary of terms tor thoracic imaging
    Hansell, David M.
    Bankier, Alexander A.
    MacMahon, Heber
    McLoud, Theresa C.
    Mueller, Nestor L.
    Remy, Jacques
    [J]. RADIOLOGY, 2008, 246 (03) : 697 - 722
  • [8] Characteristics of Lung Cancers Detected by Computer Tomography Screening in the Randomized NELSON Trial
    Horeweg, Nanda
    van der Aalst, Carlijn M.
    Thunnissen, Erik
    Nackaerts, Kristiaan
    Weenink, Carla
    Groen, Harry J. M.
    Lammers, Jan-Willem J.
    Aerts, Joachim G.
    Scholten, Ernst T.
    van Rosmalen, Joost
    Mali, Willem
    Oudkerk, Matthijs
    de Koning, Harry J.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187 (08) : 848 - 854
  • [9] HUHTI E, 1983, EUR J RESPIR DIS, V64, P460
  • [10] Lung nodule detection on chest CT: Evaluation of a computer-aided detection (CAD) system
    Lee, IJ
    Gamsu, G
    Czum, J
    Wu, N
    Johnson, R
    Chakrapani, S
    [J]. KOREAN JOURNAL OF RADIOLOGY, 2005, 6 (02) : 89 - 93