Literature DB >> 25287262

Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation.

Ernst Th Scholten1, Colin Jacobs, Bram van Ginneken, Sarah van Riel, Rozemarijn Vliegenthart, Matthijs Oudkerk, Harry J de Koning, Nanda Horeweg, Mathias Prokop, Hester A Gietema, Willem P Th M Mali, Pim A de Jong.   

Abstract

OBJECTIVE: To determine whether semiautomatic volumetric software can differentiate part-solid from nonsolid pulmonary nodules and aid quantification of the solid component.
METHODS: As per reference standard, 115 nodules were differentiated into nonsolid and part-solid by two radiologists; disagreements were adjudicated by a third radiologist. The diameters of solid components were measured manually. Semiautomatic volumetric measurements were used to identify and quantify a possible solid component, using different Hounsfield unit (HU) thresholds. The measurements were compared with the reference standard and manual measurements.
RESULTS: The reference standard detected a solid component in 86 nodules. Diagnosis of a solid component by semiautomatic software depended on the threshold chosen. A threshold of -300 HU resulted in the detection of a solid component in 75 nodules with good sensitivity (90%) and specificity (88%). At a threshold of -130 HU, semiautomatic measurements of the diameter of the solid component (mean 2.4 mm, SD 2.7 mm) were comparable to manual measurements at the mediastinal window setting (mean 2.3 mm, SD 2.5 mm [p = 0.63]).
CONCLUSION: Semiautomatic segmentation of subsolid nodules could diagnose part-solid nodules and quantify the solid component similar to human observers. Performance depends on the attenuation segmentation thresholds. This method may prove useful in managing subsolid nodules. KEY POINTS: • Semiautomatic segmentation can accurately differentiate nonsolid from part-solid pulmonary nodules • Semiautomatic segmentation can quantify the solid component similar to manual measurements • Semiautomatic segmentation may aid management of subsolid nodules following Fleischner Society recommendations • Performance for the segmentation of subsolid nodules depends on the chosen attenuation thresholds.

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Year:  2014        PMID: 25287262     DOI: 10.1007/s00330-014-3427-z

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


  24 in total

1.  Pulmonary nodules: preliminary experience with three-dimensional evaluation.

Authors:  Marie-Pierre Revel; Catherine Lefort; Alvine Bissery; Marie Bienvenu; Laetitia Aycard; Gilles Chatellier; Guy Frija
Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

2.  Pulmonary adenocarcinomas with ground-glass attenuation on thin-section CT: quantification by three-dimensional image analyzing method.

Authors:  Hiromitsu Sumikawa; Takeshi Johkoh; Tomofumi Nagareda; Junko Sekiguchi; Kumiko Matsuo; Yuka Fujita; Javzandulam Natsag; Atsuo Inoue; Naoki Mihara; Osamu Honda; Noriyuki Tomiyama; Masato Minami; Meinoshin Okumura; Hironobu Nakamura
Journal:  Eur J Radiol       Date:  2007-04-26       Impact factor: 3.528

3.  Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT.

Authors:  Ernst Th Scholten; Colin Jacobs; Bram van Ginneken; Martin J Willemink; Jan-Martin Kuhnigk; Peter M A van Ooijen; Matthijs Oudkerk; Willem P Th M Mali; Pim A de Jong
Journal:  AJR Am J Roentgenol       Date:  2013-08       Impact factor: 3.959

4.  Noninvasive characterization of the histopathologic features of pulmonary nodules of the lung adenocarcinoma spectrum using computer-aided nodule assessment and risk yield (CANARY)--a pilot study.

Authors:  Fabien Maldonado; Jennifer M Boland; Sushravya Raghunath; Marie Christine Aubry; Brian J Bartholmai; Mariza Deandrade; Thomas E Hartman; Ronald A Karwoski; Srinivasan Rajagopalan; Anne-Marie Sykes; Ping Yang; Eunhee S Yi; Richard A Robb; Tobias Peikert
Journal:  J Thorac Oncol       Date:  2013-04       Impact factor: 15.609

5.  Quantification of ground-glass opacity on high-resolution CT of small peripheral adenocarcinoma of the lung: pathologic and prognostic implications.

Authors:  E A Kim; T Johkoh; K S Lee; J Han; K Fujimoto; J Sadohara; P S Yang; T Kozuka; O Honda; S Kim
Journal:  AJR Am J Roentgenol       Date:  2001-12       Impact factor: 3.959

6.  Pathologic N0 status in pulmonary adenocarcinoma is predictable by combining serum carcinoembryonic antigen level and computed tomographic findings.

Authors:  K Takamochi; K Nagai; J Yoshida; K Suzuki; Y Ohde; M Nishimura; S Sasaki; Y Nishiwaki
Journal:  J Thorac Cardiovasc Surg       Date:  2001-08       Impact factor: 5.209

7.  Discrepancy of computed tomographic image between lung and mediastinal windows as a prognostic implication in small lung adenocarcinoma.

Authors:  Morihito Okada; Wataru Nishio; Toshihiko Sakamoto; Kazuya Uchino; Noriaki Tsubota
Journal:  Ann Thorac Surg       Date:  2003-12       Impact factor: 4.330

8.  Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society.

Authors:  David P Naidich; Alexander A Bankier; Heber MacMahon; Cornelia M Schaefer-Prokop; Massimo Pistolesi; Jin Mo Goo; Paolo Macchiarini; James D Crapo; Christian J Herold; John H Austin; William D Travis
Journal:  Radiology       Date:  2012-10-15       Impact factor: 11.105

9.  The proportion of consolidation to ground-glass opacity on high resolution CT is a good predictor for distinguishing the population of non-invasive peripheral adenocarcinoma.

Authors:  Yasuhisa Ohde; Kanji Nagai; Junji Yoshida; Mitsuyo Nishimura; Kenro Takahashi; Kenji Suzuki; Kazuya Takamochi; Tomoyuki Yokose; Yutaka Nishiwaki
Journal:  Lung Cancer       Date:  2003-12       Impact factor: 5.705

10.  One-dimensional mean computed tomography value evaluation of ground-glass opacity on high-resolution images.

Authors:  Akihiko Kitami; Yoshito Kamio; Shoko Hayashi; Kosuke Suzuki; Shugo Uematsu; Ryozo Gen; Takashi Suzuki; Mitsutaka Kadokura
Journal:  Gen Thorac Cardiovasc Surg       Date:  2012-06-01
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  18 in total

1.  Ultralow-dose CT with tin filtration for detection of solid and sub solid pulmonary nodules: a phantom study.

Authors:  Katharina Martini; Kai Higashigaito; Borna K Barth; Stephan Baumueller; Hatem Alkadhi; Thomas Frauenfelder
Journal:  Br J Radiol       Date:  2015-10-22       Impact factor: 3.039

2.  Effect of CT window settings on size measurements of the solid component in subsolid nodules: evaluation of prediction efficacy of the degree of pathological malignancy in lung adenocarcinoma.

Authors:  Qiong Li; Ya-Feng Gu; Li Fan; Qing-Chu Li; Yi Xiao; Shi-Yuan Liu
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

3.  Optimizing lung cancer screening: nodule size, volume doubling time, morphology and evaluation of other diseases.

Authors:  Firdaus A A Mohamed Hoesein; Pim A de Jong; Onno M Mets
Journal:  Ann Transl Med       Date:  2015-02

4.  Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas.

Authors:  Julien G Cohen; Jin Mo Goo; Roh-Eul Yoo; Chang Min Park; Chang Hyun Lee; Bram van Ginneken; Doo Hyun Chung; Young Tae Kim
Journal:  Eur Radiol       Date:  2016-04-05       Impact factor: 5.315

Review 5.  Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

Authors:  Chara E Rydzak; Samuel G Armato; Ricardo S Avila; James L Mulshine; David F Yankelevitz; David S Gierada
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

6.  Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging?

Authors:  Finbar Foley; Srinivasan Rajagopalan; Sushravya M Raghunath; Jennifer M Boland; Ronald A Karwoski; Fabien Maldonado; Brian J Bartholmai; Tobias Peikert
Journal:  Semin Thorac Cardiovasc Surg       Date:  2016-01-08

7.  Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.

Authors:  Hyungjin Kim; Chang Min Park; Eui Jin Hwang; Su Yeon Ahn; Jin Mo Goo
Journal:  Eur Radiol       Date:  2017-12-01       Impact factor: 5.315

8.  Measurement Variability of Persistent Pulmonary Subsolid Nodules on Same-Day Repeat CT: What Is the Threshold to Determine True Nodule Growth during Follow-Up?

Authors:  Hyungjin Kim; Chang Min Park; Yong Sub Song; Leonard Sunwoo; Ye Ra Choi; Jung Im Kim; Jae Hyun Kim; Jae Seok Bae; Jong Hyuk Lee; Jin Mo Goo
Journal:  PLoS One       Date:  2016-02-09       Impact factor: 3.240

Review 9.  Spectrum of early lung cancer presentation in low-dose screening CT: a pictorial review.

Authors:  Cristiano Rampinelli; Sonia Francesca Calloni; Marta Minotti; Massimo Bellomi
Journal:  Insights Imaging       Date:  2016-05-17

10.  Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules.

Authors:  Jean-Paul Charbonnier; Kaman Chung; Ernst T Scholten; Eva M van Rikxoort; Colin Jacobs; Nicola Sverzellati; Mario Silva; Ugo Pastorino; Bram van Ginneken; Francesco Ciompi
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

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