Literature DB >> 21847540

Small peripheral lung carcinomas with five-year post-surgical follow-up: assessment by semi-automated volumetric measurement of tumour size, CT value and growth rate on TSCT.

Shusuke Sone1, Takaomi Hanaoka, Hiroyuki Ogata, Fumiyoshi Takayama, Tomofumi Watanabe, Masayuki Haniuda, Kazuhiko Kaneko, Ryoichi Kondo, Kazuo Yoshida, Takayuki Honda.   

Abstract

OBJECTIVES: To retrospectively assess the utility of semi-automated measurements by stratification of CT values of tumour size, CT value and doubling time (DT) using thin-section computed tomography (CT) images. The post-surgical outcomes of favourable and problematic tumours (more advanced p stage than IA, post-surgical recurrence or mortality from lung cancer) were compared using the measured values. The computed DTs were compared with manually measured values.
METHODS: The study subjects comprised 85 patients (aged 33-80 years, 48 women, 37 men), followed-up for more than 5 years postoperatively, with 89 lung lesions, including 17 atypical adenomatous hyperplasias and 72 lung cancers. DTs were determined in 45 lesions.
RESULTS: For problematic lesions, whole tumour diameter and density were >18 mm and >-400 HU, respectively. The respective values for the tumour core (with CT values of -350 to 150 HU) were >15 mm and >-70 HU. Analysis of tumour core DTs showed interval tumour progression even if little progress was seen by standard tumour volume DT (TVDT).
CONCLUSION: Software-based volumetric measurements by stratification of CT values provide valuable information on tumour core and help estimate tumour aggressiveness and interval tumour progression better than standard manually measured 2D-VDTs.

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Year:  2011        PMID: 21847540     DOI: 10.1007/s00330-011-2241-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  41 in total

1.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

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.  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.  Five-year lung cancer screening experience: CT appearance, growth rate, location, and histologic features of 61 lung cancers.

Authors:  Rebecca M Lindell; Thomas E Hartman; Stephen J Swensen; James R Jett; David E Midthun; Henry D Tazelaar; Jayawant N Mandrekar
Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

5.  Does 2-year stability imply that pulmonary nodules are benign?

Authors:  D F Yankelevitz; C I Henschke
Journal:  AJR Am J Roentgenol       Date:  1997-02       Impact factor: 3.959

6.  Growth rate of small lung cancers detected on mass CT screening.

Authors:  M Hasegawa; S Sone; S Takashima; F Li; Z G Yang; Y Maruyama; T Watanabe
Journal:  Br J Radiol       Date:  2000-12       Impact factor: 3.039

7.  Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers.

Authors:  Stefan Diederich; Dag Wormanns; Michael Semik; Michael Thomas; Horst Lenzen; Nikolaus Roos; Walter Heindel
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

8.  Lung cancer screening with CT: Mayo Clinic experience.

Authors:  Stephen J Swensen; James R Jett; Thomas E Hartman; David E Midthun; Jeff A Sloan; Anne-Marie Sykes; Gregory L Aughenbaugh; Medy A Clemens
Journal:  Radiology       Date:  2003-01-24       Impact factor: 11.105

9.  Presence of local pleural adhesion in CT screening-detected small nodule in the lung periphery suggests noncancerous, inflammatory nature of the lesion.

Authors:  Takaomi Hanaoka; Shusuke Sone; Fumiyoshi Takayama; Toshihide Hayano; Shinji Yamaguchi; Mitsuyo Okada
Journal:  Clin Imaging       Date:  2007 Nov-Dec       Impact factor: 1.605

10.  Computed tomographic screening for lung cancer: the relationship of disease stage to tumor size.

Authors:  Claudia I Henschke; David F Yankelevitz; Olli S Miettinen
Journal:  Arch Intern Med       Date:  2006-02-13
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  5 in total

1.  A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.

Authors:  Hajime Kobayashi; Masaki Ohkubo; Akihiro Narita; Janaka C Marasinghe; Kohei Murao; Toru Matsumoto; Shusuke Sone; Shinichi Wada
Journal:  Br J Radiol       Date:  2017-01-03       Impact factor: 3.039

2.  Biology of colorectal pulmonary metastasis: implications for surgical resection.

Authors:  Michael Poullis; John Littler; John Gosney
Journal:  Interact Cardiovasc Thorac Surg       Date:  2011-11-23

3.  Accuracy of lung nodule density on HRCT: analysis by PSF-based image simulation.

Authors:  Ken Ohno; Masaki Ohkubo; Janaka C Marasinghe; Kohei Murao; Toru Matsumoto; Shinichi Wada
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

4.  The combined nomogram based on the CT features may be used as a complementary method of frozen sections to predict invasive lung adenocarcinoma manifesting as ground-glass nodules.

Authors:  Yangyang Sun; Bin Wang; Ke Bi; Xue Meng; Lei Zhang; Xiwen Sun
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 2.895

5.  The growth feature and its diagnostic value for benign and malignant pulmonary nodules met in routine clinical practice.

Authors:  Rui Zhang; Panwen Tian; Zhixin Qiu; Yiying Liang; Weimin Li
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 3.005

  5 in total

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