Tumour size of resectable oesophageal squamous cell carcinoma measured with multidetector computed tomography for predicting regional lymph node metastasis and N stage.
Saved in:
| Title: | Tumour size of resectable oesophageal squamous cell carcinoma measured with multidetector computed tomography for predicting regional lymph node metastasis and N stage. |
|---|---|
| Authors: | Li H (AUTHOR), Chen TW (AUTHOR), Li ZL (AUTHOR), Zhang XM (AUTHOR), Chen XL (AUTHOR), Wang LY (AUTHOR), Zhou L (AUTHOR), Li R (AUTHOR), Li CP (AUTHOR), Huang XH (AUTHOR), Li, Hang1 (AUTHOR), Chen, Tian-wu (AUTHOR), Li, Zhen-lin (AUTHOR), Zhang, Xiao-ming (AUTHOR), Chen, Xiao-li (AUTHOR), Wang, Li-ying (AUTHOR), Zhou, Li (AUTHOR), Li, Rui (AUTHOR), Li, Chun-ping (AUTHOR), Huang, Xiao-hua (AUTHOR) |
| Source: | European Radiology. Nov2012, Vol. 22 Issue 11, p2487-2493. 7p. |
| Abstract: | |
| Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 104375018 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Tumour size of resectable oesophageal squamous cell carcinoma measured with multidetector computed tomography for predicting regional lymph node metastasis and N stage. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li+H%22">Li H</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen+TW%22">Chen TW</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li+ZL%22">Li ZL</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang+XM%22">Zhang XM</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen+XL%22">Chen XL</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang+LY%22">Wang LY</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou+L%22">Zhou L</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li+R%22">Li R</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li+CP%22">Li CP</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang+XH%22">Huang XH</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Hang%22">Li, Hang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Tian-wu%22">Chen, Tian-wu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zhen-lin%22">Li, Zhen-lin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiao-ming%22">Zhang, Xiao-ming</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiao-li%22">Chen, Xiao-li</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Li-ying%22">Wang, Li-ying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Li%22">Zhou, Li</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Rui%22">Li, Rui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Chun-ping%22">Li, Chun-ping</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Xiao-hua%22">Huang, Xiao-hua</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Nov2012, Vol. 22 Issue 11, p2487-2493. 7p. – Name: Abstract Label: Abstract Group: Ab Data: <bold>Objectives: </bold>To determine whether and how tumour size of resectable oesophageal squamous cell carcinoma (ESCC) measured with multidetector CT could predict regional lymph node metastasis (LNM) and N stage.<bold>Methods: </bold>Two hundred five patients with ESCC underwent radical oesophagectomy with three-field lymphadenectomy less than 3 weeks after contrast-enhanced CT. Tumour size of the ESCC (tumour length, maximal thickness and gross tumour volume, GTV) was measured on CT. Statistical analyses were performed to identify whether tumour size could predict regional LNM and N stage, and to determine how to use the size of ESCC to predict N stage.<bold>Results: </bold>Univariate analysis showed that tumour size could predict regional LNM (all P < 0.05). Logistic regression analysis revealed that GTV could independently predict regional LNM (P = 0.021, odds ratio = 1.813). Mann-Whitney tests showed that tumour size could distinguish grouped N stages (all P < 0.05). GTV might be a differentiating indicator between N0 and N1-3 stages (cutoff, 14.4 cm(3)), between N0-1 and N2-3 (cutoff, 15.9 cm(3)), and between N0-2 and N3 (cutoff, 26.1 cm(3)), with sensitivity of 76%, 63% or 75%, and specificity of 75%, 61% and 81%, respectively.<bold>Conclusions: </bold>The GTV of ESCC measured with CT could be an indicator for predicting regional LNM and grouped N stages.<bold>Key Points: </bold>• Multidetector computed tomography (MDCT) allows accurate assessment of oesophageal tumour size • For resectable squamous cell tumours, size helped predict regional lymph node involvement • Gross tumour volume may predict the N stage of oesophageal squamous cell carcinoma. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=104375018 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-012-2512-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 2487 Titles: – TitleFull: Tumour size of resectable oesophageal squamous cell carcinoma measured with multidetector computed tomography for predicting regional lymph node metastasis and N stage. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li H – PersonEntity: Name: NameFull: Chen TW – PersonEntity: Name: NameFull: Li ZL – PersonEntity: Name: NameFull: Zhang XM – PersonEntity: Name: NameFull: Chen XL – PersonEntity: Name: NameFull: Wang LY – PersonEntity: Name: NameFull: Zhou L – PersonEntity: Name: NameFull: Li R – PersonEntity: Name: NameFull: Li CP – PersonEntity: Name: NameFull: Huang XH – PersonEntity: Name: NameFull: Li, Hang – PersonEntity: Name: NameFull: Chen, Tian-wu – PersonEntity: Name: NameFull: Li, Zhen-lin – PersonEntity: Name: NameFull: Zhang, Xiao-ming – PersonEntity: Name: NameFull: Chen, Xiao-li – PersonEntity: Name: NameFull: Wang, Li-ying – PersonEntity: Name: NameFull: Zhou, Li – PersonEntity: Name: NameFull: Li, Rui – PersonEntity: Name: NameFull: Li, Chun-ping – PersonEntity: Name: NameFull: Huang, Xiao-hua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 22 – Type: issue Value: 11 Titles: – TitleFull: European Radiology Type: main |
| ResultId | 1 |