Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images: Detection and Quantification of the Solid Component
Background and objective The detection and quantification of solid components in pulmonary subsolid nodules (SSN) are of vital importance on differential diagnosis, pathological speculation and prognosis prediction. However, no objective and wide-accepted criterion has been built up to now. The purp...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Chinese Anti-Cancer Association; Chinese Antituberculosis Association
2017-05-01
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| Series: | Chinese Journal of Lung Cancer |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.3779/j.issn.1009-3419.2017.05.07 |
| _version_ | 1818277223139901440 |
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| author | Wensong ZHENG Qing WANG Ying WANG Fangfang GUO Xinyue WANG Tielian YU |
| author_facet | Wensong ZHENG Qing WANG Ying WANG Fangfang GUO Xinyue WANG Tielian YU |
| author_sort | Wensong ZHENG |
| collection | DOAJ |
| description | Background and objective The detection and quantification of solid components in pulmonary subsolid nodules (SSN) are of vital importance on differential diagnosis, pathological speculation and prognosis prediction. However, no objective and wide-accepted criterion has been built up to now. The purpose of this study is to explore the optimal threshold that can be used for the detection and quantification of solid components in SSNs by using threshold segmentation method on computed tomography (CT) images. Methods CT images of 102 SSNs were retrospectively analyzed. To establish a reference standard, the observers made judgments on whether the solid component existed in every SSN and did manual measurements of the volume of solid component with the help of software. Threshold segmentations of every nodule were then performed using different threshold settings and all of the measured volumes were assumed to be solid volumes, then solid-to-total volume ratios were calculated. The results were compared with the reference standards using the receiver operating characteristic curve and Wilcoxon test. Results The application of thresholds as -250 HU or -300 HU resulted in high diagnostic value on the detection of solid component, with area under curve values as 0.982 and 0.977, respectively; the cut-off values of solid-to-total volume ratio were 1.10% and 6.14%, respectively; the median volumes of solid components were 202.7 mm3 (598.2 mm3), 247.1 mm3(696.0 mm3), which were not significantly different from the reference standard[199.5 mm3 (743.1 mm3)](P=0.125,1, 0.061,3). Conclusion Threshold segmentation on chest CT images is valuable to detect and quantify the solid component on SSNs, the thresholds as -250 HU and -300 HU are recommended. |
| first_indexed | 2024-12-12T22:58:07Z |
| format | Article |
| id | doaj.art-97791f7c07d846eeb79a1d6e2ddadb9f |
| institution | Directory Open Access Journal |
| issn | 1009-3419 1999-6187 |
| language | zho |
| last_indexed | 2024-12-12T22:58:07Z |
| publishDate | 2017-05-01 |
| publisher | Chinese Anti-Cancer Association; Chinese Antituberculosis Association |
| record_format | Article |
| series | Chinese Journal of Lung Cancer |
| spelling | doaj.art-97791f7c07d846eeb79a1d6e2ddadb9f2022-12-22T00:08:53ZzhoChinese Anti-Cancer Association; Chinese Antituberculosis AssociationChinese Journal of Lung Cancer1009-34191999-61872017-05-0120534134510.3779/j.issn.1009-3419.2017.05.07Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid ComponentWensong ZHENG0Qing WANG1Ying WANG2Fangfang GUO3Xinyue WANG4Tielian YU5Medical Imaging Department, Tianjin Medical University General Hospital, Tianjin 300052, ChinaMedical Imaging Department, Tianjin Medical University General Hospital, Tianjin 300052, ChinaMedical Imaging Department, Tianjin Medical University General Hospital, Tianjin 300052, ChinaMedical Imaging Department, Tianjin Medical University General Hospital, Tianjin 300052, ChinaMedical Imaging Department, Tianjin Medical University General Hospital, Tianjin 300052, ChinaMedical Imaging Department, Tianjin Medical University General Hospital, Tianjin 300052, ChinaBackground and objective The detection and quantification of solid components in pulmonary subsolid nodules (SSN) are of vital importance on differential diagnosis, pathological speculation and prognosis prediction. However, no objective and wide-accepted criterion has been built up to now. The purpose of this study is to explore the optimal threshold that can be used for the detection and quantification of solid components in SSNs by using threshold segmentation method on computed tomography (CT) images. Methods CT images of 102 SSNs were retrospectively analyzed. To establish a reference standard, the observers made judgments on whether the solid component existed in every SSN and did manual measurements of the volume of solid component with the help of software. Threshold segmentations of every nodule were then performed using different threshold settings and all of the measured volumes were assumed to be solid volumes, then solid-to-total volume ratios were calculated. The results were compared with the reference standards using the receiver operating characteristic curve and Wilcoxon test. Results The application of thresholds as -250 HU or -300 HU resulted in high diagnostic value on the detection of solid component, with area under curve values as 0.982 and 0.977, respectively; the cut-off values of solid-to-total volume ratio were 1.10% and 6.14%, respectively; the median volumes of solid components were 202.7 mm3 (598.2 mm3), 247.1 mm3(696.0 mm3), which were not significantly different from the reference standard[199.5 mm3 (743.1 mm3)](P=0.125,1, 0.061,3). Conclusion Threshold segmentation on chest CT images is valuable to detect and quantify the solid component on SSNs, the thresholds as -250 HU and -300 HU are recommended.http://dx.doi.org/10.3779/j.issn.1009-3419.2017.05.07Subsolid noduleAdenocarcinomaComputed tomographyThreshold segmentationVolume measurement |
| spellingShingle | Wensong ZHENG Qing WANG Ying WANG Fangfang GUO Xinyue WANG Tielian YU Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images: Detection and Quantification of the Solid Component Chinese Journal of Lung Cancer Subsolid nodule Adenocarcinoma Computed tomography Threshold segmentation Volume measurement |
| title | Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid Component |
| title_full | Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid Component |
| title_fullStr | Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid Component |
| title_full_unstemmed | Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid Component |
| title_short | Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid Component |
| title_sort | threshold segmentation of pulmonary subsolid nodules on ct images
detection and quantification of the solid component |
| topic | Subsolid nodule Adenocarcinoma Computed tomography Threshold segmentation Volume measurement |
| url | http://dx.doi.org/10.3779/j.issn.1009-3419.2017.05.07 |
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