Literature DB >> 22740974

Characterization of solitary pulmonary nodules: Use of washout characteristics at contrast-enhanced computed tomography.

Xiao-Dan Ye1, Jian-Ding Ye, Zheng Yuan, Sheng Dong, Xiang-Sheng Xiao.   

Abstract

The purpose of this study was to determine whether computed tomographic scans and attenuation measurements on contrast material-enhanced and non-enhanced computed tomographic scans could be used to characterize solitary pulmonary nodules and, in particular, to characterize these lesions using washout characteristics on contrast-enhanced computed tomography. A total of 63 patients (38 males, 25 females; age range, 21-80 years; mean age, 58±13.2 years) with pulmonary nodules revealed on contrast-enhanced computed tomography underwent 20-min delayed enhanced scans. The mean diameter of the pulmonary nodules was 1.8±0.6 cm (range, 0.8-2.9). Region-of-interest measurements were obtained at non-enhanced, dynamic enhanced and delayed enhanced computed tomography and were used to calculate a relative percentage washout as follows: 1 - (Hounsfield unit measurement on delayed image/Hounsfield unit measurement on dynamic image) × 100%. There was a mean relative washout of 33% on the delayed computed tomographic scans (range, 12-46) in benign solitary pulmonary nodules; and a mean relative washout of 7% (range, -36-51) in malignant solitary pulmonary nodules (Mann-Whitney U test, p<0.001). Results of the receiver operating curve analysis revealed that a threshold relative washout of 14.5% had 74.3% sensitivity and 92.9% specificity for identifying malignant nodules. Calculation of the relative percentage washout on dynamic and delayed enhanced computed tomographic scans may lead to a highly specific test for solitary pulmonary nodule characterization and reduce the need for, and possibly obviate, follow-up imaging or biopsy.

Entities:  

Year:  2011        PMID: 22740974      PMCID: PMC3362400          DOI: 10.3892/ol.2011.520

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  23 in total

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Journal:  Chest       Date:  1999-12       Impact factor: 9.410

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Journal:  Radiology       Date:  1990-12       Impact factor: 11.105

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

Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
Journal:  Radiology       Date:  2005-11       Impact factor: 11.105

4.  Characterization of the solitary pulmonary nodule: 18F-FDG PET versus nodule-enhancement CT.

Authors:  Jared A Christensen; Mark A Nathan; Brian P Mullan; Thomas E Hartman; Stephen J Swensen; Val J Lowe
Journal:  AJR Am J Roentgenol       Date:  2006-11       Impact factor: 3.959

5.  Peripheral solitary pulmonary nodule: CT findings in patients with pulmonary emphysema.

Authors:  Shin Matsuoka; Yasuyuki Kurihara; Kunihiro Yagihashi; Hiroshi Niimi; Yasuo Nakajima
Journal:  Radiology       Date:  2005-02-16       Impact factor: 11.105

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Journal:  Radiology       Date:  2000-01       Impact factor: 11.105

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Authors:  Helen T Winer-Muram
Journal:  Radiology       Date:  2006-04       Impact factor: 11.105

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Authors:  S J Swensen; L R Brown; T V Colby; A L Weaver; D E Midthun
Journal:  Radiology       Date:  1996-11       Impact factor: 11.105

9.  Diagnostic efficacy of PET-FDG imaging in solitary pulmonary nodules. Potential role in evaluation and management.

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Journal:  Chest       Date:  1993-10       Impact factor: 9.410

10.  Major pulmonary resection for suspected but unconfirmed malignancy.

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Journal:  Ann Thorac Surg       Date:  1984-10       Impact factor: 4.330

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  4 in total

1.  Lipid-poor renal angiomyolipoma: Differentiation from clear cell renal cell carcinoma using wash-in and washout characteristics on contrast-enhanced computed tomography.

Authors:  Pingkun Xie; Zhihui Yang; Zheng Yuan
Journal:  Oncol Lett       Date:  2016-02-09       Impact factor: 2.967

2.  Dynamic CT of solitary pulmonary nodules: comparison of contrast medium distribution characteristic of malignant and benign lesions.

Authors:  X-D Ye; J-D Ye; Z Yuan; W-T Li; X-S Xiao
Journal:  Clin Transl Oncol       Date:  2013-04-19       Impact factor: 3.405

3.  Rationale of Using Dynamic Imaging for Characterization of Suspicious Lung Masses into Benign or Malignant on Contrast Enhanced Multi Detector Computed Tomography.

Authors:  Sachin Khanduri; Saurav Bhagat; Parul Shokeen; Girjesh Kumar; Shobha Khanduri; Bhumika Singh
Journal:  J Clin Imaging Sci       Date:  2017-06-27

4.  A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.

Authors:  Mohamed Shehata; Ahmed Alksas; Rasha T Abouelkheir; Ahmed Elmahdy; Ahmed Shaffie; Ahmed Soliman; Mohammed Ghazal; Hadil Abu Khalifeh; Reem Salim; Ahmed Abdel Khalek Abdel Razek; Norah Saleh Alghamdi; Ayman El-Baz
Journal:  Sensors (Basel)       Date:  2021-07-20       Impact factor: 3.576

  4 in total

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