Publication

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

Scholten, E. T., Jacobs, C., van Ginneken, B., van Riel, S., Vliegenthart, R., Oudkerk, M., de Koning, H. J., Horeweg, N., Prokop, M., Gietema, H. A., Mali, W. P. T. M. & de Jong, P. A., Feb-2015, In : European Radiology. 25, 2, p. 488-496 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Scholten, E. T., Jacobs, C., van Ginneken, B., van Riel, S., Vliegenthart, R., Oudkerk, M., ... de Jong, P. A. (2015). Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation. European Radiology, 25(2), 488-496. https://doi.org/10.1007/s00330-014-3427-z

Author

Scholten, Ernst Th. ; Jacobs, Colin ; van Ginneken, Bram ; van Riel, Sarah ; Vliegenthart, Rozemarijn ; Oudkerk, Matthijs ; de Koning, Harry J. ; Horeweg, Nanda ; Prokop, Mathias ; Gietema, Hester A. ; Mali, Willem P. Th. M. ; de Jong, Pim A. / Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation. In: European Radiology. 2015 ; Vol. 25, No. 2. pp. 488-496.

Harvard

Scholten, ET, Jacobs, C, van Ginneken, B, van Riel, S, Vliegenthart, R, Oudkerk, M, de Koning, HJ, Horeweg, N, Prokop, M, Gietema, HA, Mali, WPTM & de Jong, PA 2015, 'Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation', European Radiology, vol. 25, no. 2, pp. 488-496. https://doi.org/10.1007/s00330-014-3427-z

Standard

Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation. / Scholten, Ernst Th.; Jacobs, Colin; van Ginneken, Bram; van Riel, Sarah; Vliegenthart, Rozemarijn; Oudkerk, Matthijs; de Koning, Harry J.; Horeweg, Nanda; Prokop, Mathias; Gietema, Hester A.; Mali, Willem P. Th. M.; de Jong, Pim A.

In: European Radiology, Vol. 25, No. 2, 02.2015, p. 488-496.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Scholten ET, Jacobs C, van Ginneken B, van Riel S, Vliegenthart R, Oudkerk M et al. Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation. European Radiology. 2015 Feb;25(2):488-496. https://doi.org/10.1007/s00330-014-3427-z


BibTeX

@article{f27214bd2fd5467ba78a1819b4f8b6b0,
title = "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation",
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.",
keywords = "Subsolid pulmonary nodules, Computer-aided diagnosis, Computed tomography, Lung cancer, Screening, GROUND-GLASS OPACITY, THIN-SECTION CT, PERIPHERAL LUNG ADENOCARCINOMA, HIGH-RESOLUTION CT, PROGNOSTIC-FACTORS, CANCER, VOLUMETRY, POPULATION, MANAGEMENT, SURVIVAL",
author = "Scholten, {Ernst Th.} and Colin Jacobs and {van Ginneken}, Bram and {van Riel}, Sarah and Rozemarijn Vliegenthart and Matthijs Oudkerk and {de Koning}, {Harry J.} and Nanda Horeweg and Mathias Prokop and Gietema, {Hester A.} and Mali, {Willem P. Th. M.} and {de Jong}, {Pim A.}",
year = "2015",
month = "2",
doi = "10.1007/s00330-014-3427-z",
language = "English",
volume = "25",
pages = "488--496",
journal = "European Radiology",
issn = "0938-7994",
publisher = "SPRINGER",
number = "2",

}

RIS

TY - JOUR

T1 - Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation

AU - Scholten, Ernst Th.

AU - Jacobs, Colin

AU - van Ginneken, Bram

AU - van Riel, Sarah

AU - Vliegenthart, Rozemarijn

AU - Oudkerk, Matthijs

AU - de Koning, Harry J.

AU - Horeweg, Nanda

AU - Prokop, Mathias

AU - Gietema, Hester A.

AU - Mali, Willem P. Th. M.

AU - de Jong, Pim A.

PY - 2015/2

Y1 - 2015/2

N2 - 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.

AB - 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.

KW - Subsolid pulmonary nodules

KW - Computer-aided diagnosis

KW - Computed tomography

KW - Lung cancer

KW - Screening

KW - GROUND-GLASS OPACITY

KW - THIN-SECTION CT

KW - PERIPHERAL LUNG ADENOCARCINOMA

KW - HIGH-RESOLUTION CT

KW - PROGNOSTIC-FACTORS

KW - CANCER

KW - VOLUMETRY

KW - POPULATION

KW - MANAGEMENT

KW - SURVIVAL

U2 - 10.1007/s00330-014-3427-z

DO - 10.1007/s00330-014-3427-z

M3 - Article

VL - 25

SP - 488

EP - 496

JO - European Radiology

JF - European Radiology

SN - 0938-7994

IS - 2

ER -

ID: 19493993