Literature DB >> 15168025

[Modern diagnosis of lung nodules].

N D Abolmaali1, T J Vogl.   

Abstract

Despite numerous technical improvements, modern diagnosis of lung nodules can still be divided into three partially overlapping stages: (1) detection, (2) characterization, and (3) follow-up and management. With respect to these steps, this article reviews the diagnostic significance of different modalities. New and not definitively evaluated techniques are considered. Furthermore, methods that are not routinely applied but have been published and are thought to have some value in the characterization of pulmonary lung nodules are discussed. Statistical data are included to assist the classification of the results of imaging. Remarks on biopsy of lung nodules to obtain histopathologic correlation complete this overview. The authors are convinced that the established methods (radiography for detection, spiral CT for characterization), after thorough evaluation, will soon be replaced by magnetic resonance imaging (MRI). Recent experience with MRI points to its potential for detection and characterization of pulmonary nodules while avoiding ionizing radiation. The development of indications for MRI of the lung (e.g. paediatric radiology) will be fascinating to observe.

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Year:  2004        PMID: 15168025     DOI: 10.1007/s00117-003-0971-y

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  29 in total

1.  Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis.

Authors:  Yuichi Matsuki; Katsumi Nakamura; Hideyuki Watanabe; Takatoshi Aoki; Hajime Nakata; Shigehiko Katsuragawa; Kunio Doi
Journal:  AJR Am J Roentgenol       Date:  2002-03       Impact factor: 3.959

2.  Comparison of whole lung tomography and computed tomography for detecting pulmonary nodules.

Authors:  J R Muhm; L R Brown; J K Crowe; P F Sheedy; R R Hattery; D H Stephens
Journal:  AJR Am J Roentgenol       Date:  1978-12       Impact factor: 3.959

3.  Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience.

Authors:  Junji Shiraishi; Hiroyuki Abe; Roger Engelmann; Masahito Aoyama; Heber MacMahon; Kunio Doi
Journal:  Radiology       Date:  2003-05       Impact factor: 11.105

4.  Percutaneous lung biopsies: a survey of UK practice based on 5444 biopsies.

Authors:  C M Richardson; K S Pointon; A R Manhire; J T Macfarlane
Journal:  Br J Radiol       Date:  2002-09       Impact factor: 3.039

5.  [Bronchial carcinoma screening with low dosage CT. Current status].

Authors:  S Diederich; D Wormanns; W Heindel
Journal:  Radiologe       Date:  2001-03       Impact factor: 0.635

6.  Fractal texture analysis in computer-aided diagnosis of solitary pulmonary nodules.

Authors:  N F Vittitoe; J A Baker; C E Floyd
Journal:  Acad Radiol       Date:  1997-02       Impact factor: 3.173

Review 7.  [Differentiation of solitary pulmonary coin lesions by high-resolution computerized tomography].

Authors:  M D Seemann; T Beinert; F Spelsberg; B Obst; H Dienemann; U Fink; P Kohz; M Reiser
Journal:  Radiologe       Date:  1996-07       Impact factor: 0.635

8.  Pulmonary metastases at diagnosis of neuroblastoma in pediatric patients: CT findings and prognosis.

Authors:  B F Kammen; K K Matthay; P Pacharn; R Gerbing; R C Brasch; C A Gooding
Journal:  AJR Am J Roentgenol       Date:  2001-03       Impact factor: 3.959

9.  [Multidetector-row CT of the lungs: Multiplanar reconstructions and maximum intensity projections for the detection of pulmonary nodules].

Authors:  R Eibel; T R Türk; C Kulinna; K Herrmann; M F Reiser
Journal:  Rofo       Date:  2001-09

10.  The role of ultrasound-guided aspiration biopsy of peripheral pulmonary nodules: our experience.

Authors:  Claudio Scisca; Massimo Rizzo; Roberto Maisano; Maurizio Monaco; Michele Ferrari; Stefania Munaò; Maria Zavettieri; Orsola Bonaffini; Marzia Mare; Raffaele Talamo Rossi; Francesco La Torre
Journal:  Anticancer Res       Date:  2002 Jul-Aug       Impact factor: 2.480

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  2 in total

1.  Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.

Authors:  M V Sprindzuk; V A Kovalev; E V Snezhko; S A Kharuzhyk
Journal:  Pol J Radiol       Date:  2010-01

2.  MRI of the chest: review of imaging strategies.

Authors:  Carolina A Souza
Journal:  Radiol Bras       Date:  2015 Nov-Dec
  2 in total

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