Literature DB >> 28331824

Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening.

Daiwei Han1, Marjolein A Heuvelmans1, Matthijs Oudkerk1.   

Abstract

Currently, lung cancer screening by low-dose chest CT is implemented in the United States for high-risk persons. A disadvantage of lung cancer screening is the large number of small-to-intermediate sized lung nodules, detected in around 50% of all participants, the large majority being benign. Accurate estimation of nodule size and growth is essential in the classification of lung nodules. Currently, manual diameter measurements are the standard for lung cancer screening programs and routine clinical care. However, European screening studies using semi-automated volume measurements have shown higher accuracy and reproducibility compared to diameter measurements. In addition to this, with the optimization of CT scan techniques and reconstruction parameters, as well as advances in segmentation software, the accuracy of nodule volume measurement can be improved even further. The positive results of previous studies on volume and diameter measurements of lung nodules suggest that manual measurements of nodule diameter may be replaced by semi-automated volume measurements in the (near) future.

Entities:  

Keywords:  Semi-automated volume measurement; manual diameter measurement; small pulmonary nodule

Year:  2017        PMID: 28331824      PMCID: PMC5344834          DOI: 10.21037/tlcr.2017.01.05

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  45 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.  Small pulmonary nodules: volume measurement at chest CT--phantom study.

Authors:  Jane P Ko; Henry Rusinek; Erika L Jacobs; James S Babb; Margrit Betke; Georgeann McGuinness; David P Naidich
Journal:  Radiology       Date:  2003-09       Impact factor: 11.105

3.  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

4.  Zone of transition: a potential source of error in tumor volume estimation.

Authors:  Lijuan Zhang; David F Yankelevitz; Claudia I Henschke; Artit C Jirapatnakul; Anthony P Reeves; Darryl Carter
Journal:  Radiology       Date:  2010-08       Impact factor: 11.105

5.  A pilot study of volume measurement as a method of tumor response evaluation to aid biomarker development.

Authors:  Binsheng Zhao; Geoffrey R Oxnard; Chaya S Moskowitz; Mark G Kris; William Pao; Pingzhen Guo; Valerie M Rusch; Marc Ladanyi; Naiyer A Rizvi; Lawrence H Schwartz
Journal:  Clin Cancer Res       Date:  2010-06-09       Impact factor: 12.531

6.  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

7.  Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.

Authors:  Myria Petrou; Leslie E Quint; Bin Nan; Laurence H Baker
Journal:  AJR Am J Roentgenol       Date:  2007-02       Impact factor: 3.959

8.  Variability of semiautomated lung nodule volumetry on ultralow-dose CT: comparison with nodule volumetry on standard-dose CT.

Authors:  Patrick A Hein; Valentina C Romano; Patrik Rogalla; Christian Klessen; Alexander Lembcke; Lars Bornemann; Volker Dicken; Bernd Hamm; Hans-Christian Bauknecht
Journal:  J Digit Imaging       Date:  2008-09-05       Impact factor: 4.056

9.  Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study.

Authors:  Qin Li; Marios A Gavrielides; Berkman Sahiner; Kyle J Myers; Rongping Zeng; Nicholas Petrick
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

10.  Pulmonary nodules detected at lung cancer screening: interobserver variability of semiautomated volume measurements.

Authors:  Hester A Gietema; Ying Wang; Dongming Xu; Rob J van Klaveren; Harry de Koning; Ernst Scholten; Johny Verschakelen; Gerhard Kohl; Matthijs Oudkerk; Mathias Prokop
Journal:  Radiology       Date:  2006-08-14       Impact factor: 11.105

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  21 in total

1.  Evaluating Lung Cancer Screening Across Diverse Healthcare Systems: A Process Model from the Lung PROSPR Consortium.

Authors:  Chyke A Doubeni; Debra P Ritzwoller; Katharine A Rendle; Andrea N Burnett-Hartman; Christine Neslund-Dudas; Robert T Greenlee; Stacey Honda; Jennifer Elston Lafata; Pamela M Marcus; Mary E Cooley; Anil Vachani; Rafael Meza; Caryn Oshiro; Michael J Simoff; Mitchell D Schnall; Elisabeth F Beaber; V Paul Doria-Rose
Journal:  Cancer Prev Res (Phila)       Date:  2019-12-23

2.  Dose estimation of ultra-low-dose chest CT to different sized adult patients.

Authors:  Tony M Svahn; Tommy Sjöberg; Jennifer C Ast
Journal:  Eur Radiol       Date:  2018-12-17       Impact factor: 5.315

3.  Semi-automated pulmonary nodule interval segmentation using the NLST data.

Authors:  Yoganand Balagurunathan; Andrew Beers; Jayashree Kalpathy-Cramer; Michael McNitt-Gray; Lubomir Hadjiiski; Bensheng Zhao; Jiangguo Zhu; Hao Yang; Stephen S F Yip; Hugo J W L Aerts; Sandy Napel; Dmitrii Cherezov; Kenny Cha; Heang-Ping Chan; Carlos Flores; Alberto Garcia; Robert Gillies; Dmitry Goldgof
Journal:  Med Phys       Date:  2018-02-19       Impact factor: 4.071

4.  While size matters-advanced "Radiomics" remain promising for the clinical management of ground glass opacities.

Authors:  Tobias Peikert; Srinivasan Rajagopalan; Brian Bartholmai; Fabien Maldonado
Journal:  J Thorac Dis       Date:  2017-10       Impact factor: 2.895

5.  Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study.

Authors:  Marthony Robins; Justin Solomon; Jocelyn Hoye; Taylor Smith; Yuese Zheng; Lukas Ebner; Kingshuk Roy Choudhury; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-24

6.  Clinical and CT Features of Subsolid Pulmonary Nodules With Interval Growth: A Systematic Review and Meta-Analysis.

Authors:  Xin Liang; Mengwen Liu; Meng Li; Li Zhang
Journal:  Front Oncol       Date:  2022-07-04       Impact factor: 5.738

7.  Evaluation of the 95% limits of agreement of the volumes of 5-year clinically stable solid nodules for the development of a follow-up system for indeterminate solid nodules in CT lung cancer screening.

Authors:  Ryutaro Kakinuma; Yukio Muramatsu; Junta Yamamichi; Shiho Gomi; Estanislao Oubel; Noriyuki Moriyama
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

8.  Comparison Between Magnetic Resonance Imaging and Computed Tomography in the Detection and Volumetric Assessment of Lung Nodules: A Prospective Study.

Authors:  Emeline Darçot; Mario Jreige; David C Rotzinger; Stacey Gidoin Tuyet Van; Alessio Casutt; Jean Delacoste; Julien Simons; Olivier Long; Flore Buela; Jean-Baptiste Ledoux; John O Prior; Alban Lovis; Catherine Beigelman-Aubry
Journal:  Front Med (Lausanne)       Date:  2022-04-28

9.  Quantitative volumetry of ground-glass nodules on high-spatial-resolution CT with 0.25-mm section thickness and 1024 matrix: Phantom and clinical studies.

Authors:  Yuriko Yoshida; Masahiro Yanagawa; Akinori Hata; Yukihisa Sato; Mitsuko Tsubamoto; Shuhei Doi; Kazuki Yamagata; Tomo Miyata; Noriko Kikuchi; Noriyuki Tomiyama
Journal:  Eur J Radiol Open       Date:  2021-06-01

10.  Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.

Authors:  Yoganand Balagurunathan; Andrew Beers; Michael Mcnitt-Gray; Lubomir Hadjiiski; Sandy Napel; Dmitry Goldgof; Gustavo Perez; Pablo Arbelaez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; Gabriel Bernardino Perez; Ricard Delgado-Gonzalo; M Mehdi Farhangi; Amir A Amini; Renkun Ni; Xue Feng; Aditya Bagari; Kiran Vaidhya; Benjamin Veasey; Wiem Safta; Hichem Frigui; Joseph Enguehard; Ali Gholipour; Laura Silvana Castillo; Laura Alexandra Daza; Paul Pinsky; Jayashree Kalpathy-Cramer; Keyvan Farahani
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 11.037

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