Literature DB >> 10429718

Small pulmonary nodules: evaluation with repeat CT--preliminary experience.

D F Yankelevitz1, R Gupta, B Zhao, C I Henschke.   

Abstract

PURPOSE: To assess the use of early repeat computed tomography (CT) of solitary pulmonary nodules to determine nodule growth.
MATERIALS AND METHODS: The authors performed repeat CT of nodule phantoms to assess the accuracy of their measurement technique. They then used this technique to assess nodule growth (nine malignant, six benign) in 15 patients (nine men, six women; age range, 60-79 years; average age, 66 years) who underwent repeat CT as part of their routine clinical protocol. The final diagnosis was established with surgical resection or follow-up for more than 2 years after an indeterminate biopsy.
RESULTS: Results of phantom experiments revealed that the method used to determine area change is sensitive enough to help detect nodule growth if one pixel is added around the entire circumference of a nodule. With use of standard exponential growth curves and known tumor growth rates, malignant growth could be detected in vivo within 30 days. All 15 in vivo nodules were correctly classified with early repeat CT.
CONCLUSION: Preliminary experience with early repeat CT suggests that a single repeat CT scan obtained 30 days after the first scan can depict growth in most malignant tumors as small as 5 mm.

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Year:  1999        PMID: 10429718     DOI: 10.1148/radiology.212.2.r99au33561

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  36 in total

1.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.

Authors:  Katharina Marten; Tobias Seyfarth; Florian Auer; Edzard Wiener; Andreas Grillhösl; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-07-03       Impact factor: 5.315

2.  Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility.

Authors:  Dag Wormanns; Gerhard Kohl; Ernst Klotz; Anke Marheine; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2003-11-13       Impact factor: 5.315

3.  Computer-assisted detection of pulmonary nodules: evaluation of diagnostic performance using an expert knowledge-based detection system with variable reconstruction slice thickness settings.

Authors:  Katharina Marten; Andreas Grillhösl; Tobias Seyfarth; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-12-02       Impact factor: 5.315

Review 4.  [Visualization of pulmonary nodules with magnetic resonance imaging (MRI)].

Authors:  C Plathow; H-P Meinzer; H-U Kauczor
Journal:  Radiologe       Date:  2006-04       Impact factor: 0.635

5.  Effect of blood vessels on measurement of nodule volume in a chest phantom.

Authors:  Jane P Ko; Rachel Marcus; Elan Bomsztyk; James S Babb; Cornel Stefanescu; Manmeen Kaur; David P Naidich; Henry Rusinek
Journal:  Radiology       Date:  2006-04       Impact factor: 11.105

6.  Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study.

Authors:  Ted W Way; Heang-Ping Chan; Mitchell M Goodsitt; Berkman Sahiner; Lubomir M Hadjiiski; Chuan Zhou; Aamer Chughtai
Journal:  Phys Med Biol       Date:  2008-02-13       Impact factor: 3.609

7.  Automated measurement of lymph nodes: a phantom study.

Authors:  Sebastian Keil; Cedric Plumhans; Florian F Behrendt; Sven Stanzel; Michael Suehling; Georg Mühlenbruch; Andreas H Mahnken; Rolf W Günther; Marco Das
Journal:  Eur Radiol       Date:  2008-12-24       Impact factor: 5.315

8.  A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations.

Authors:  Bartjan de Hoop; Hester Gietema; Bram van Ginneken; Pieter Zanen; Gerard Groenewegen; Mathias Prokop
Journal:  Eur Radiol       Date:  2008-11-19       Impact factor: 5.315

9.  Investigation of lung nodule detectability in low-dose 320-slice computed tomography.

Authors:  J D Silverman; N S Paul; J H Siewerdsen
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

Review 10.  The importance of the regimen of screening in maximizing the benefit and minimizing the harms.

Authors:  Claudia I Henschke; Kunwei Li; Rowena Yip; Mary Salvatore; David F Yankelevitz
Journal:  Ann Transl Med       Date:  2016-04
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