The Study of Tumor Volume as a Prognostic Factor in T Staging System for Non-Small Cell Lung Cancer: An Exploratory Study. (9th December 2020)
- Record Type:
- Journal Article
- Title:
- The Study of Tumor Volume as a Prognostic Factor in T Staging System for Non-Small Cell Lung Cancer: An Exploratory Study. (9th December 2020)
- Main Title:
- The Study of Tumor Volume as a Prognostic Factor in T Staging System for Non-Small Cell Lung Cancer: An Exploratory Study
- Authors:
- Jia, Bei
Zhang, Xu
Mo, Yunxian
Chen, Biao
Long, Hao
Rong, Tiehua
Su, Xiaodong - Abstract:
- Background: This study aimed to evaluate T staging system for non-small cell lung cancer (NSCLC) using tumor volume (TV) and other prognostic factors. Methods: This study included 1309 cases. The TV and greatest tumor diameter (GTD) were semi-automatically measured. The receiver operating characteristic (ROC) curves of TV and GTD were used to predict survival. The regression analysis was used to describe the correlation between GTD and TV. Overall survival (OS) was analyzed using the Kaplan-Meier method. Cox's proportional hazards regression model was applied for multivariate analysis. Results: Using the OS in pN0M0 patients (997 cases), we obtained 4 optimal cutoff values and divided all cases into 5 TV groups (V1: TV ≤ 2.80 cm 3 ; V2: TV > 2.80–6.40 cm 3 ; V3: TV > 6.40–12.9 cm 3 ; V4: TV > 12.9–55.01 cm 3 ; V5: TV > 55.01 cm 3 ) with significant OS ( P < 0.001). Multivariate analysis showed that age, visceral pleural invasion (VPI), and all TV cutoff points were independent factors of OS ( P < 0.05). For V3 and V4 groups, the OS in patients without VPI was better than that in patients with VPI. Using the values of TV, VPI, and N stages, we classified all cases into 5 stages from I to V depending on the OS. The OS in I, II, III, IV, and V stages were 71.3%, 65.5%, 59.8%, 47.7%, and 35.1% respectively ( P < 0.001). Conclusions: We proposed a new T staging system using TV as the main prognostic descriptor in NSCLC patients, which may provide a better comprehensive clinicalBackground: This study aimed to evaluate T staging system for non-small cell lung cancer (NSCLC) using tumor volume (TV) and other prognostic factors. Methods: This study included 1309 cases. The TV and greatest tumor diameter (GTD) were semi-automatically measured. The receiver operating characteristic (ROC) curves of TV and GTD were used to predict survival. The regression analysis was used to describe the correlation between GTD and TV. Overall survival (OS) was analyzed using the Kaplan-Meier method. Cox's proportional hazards regression model was applied for multivariate analysis. Results: Using the OS in pN0M0 patients (997 cases), we obtained 4 optimal cutoff values and divided all cases into 5 TV groups (V1: TV ≤ 2.80 cm 3 ; V2: TV > 2.80–6.40 cm 3 ; V3: TV > 6.40–12.9 cm 3 ; V4: TV > 12.9–55.01 cm 3 ; V5: TV > 55.01 cm 3 ) with significant OS ( P < 0.001). Multivariate analysis showed that age, visceral pleural invasion (VPI), and all TV cutoff points were independent factors of OS ( P < 0.05). For V3 and V4 groups, the OS in patients without VPI was better than that in patients with VPI. Using the values of TV, VPI, and N stages, we classified all cases into 5 stages from I to V depending on the OS. The OS in I, II, III, IV, and V stages were 71.3%, 65.5%, 59.8%, 47.7%, and 35.1% respectively ( P < 0.001). Conclusions: We proposed a new T staging system using TV as the main prognostic descriptor in NSCLC patients, which may provide a better comprehensive clinical value than GTD in clinical applications. … (more)
- Is Part Of:
- Technology in cancer research & treatment. Volume 19(2020)
- Journal:
- Technology in cancer research & treatment
- Issue:
- Volume 19(2020)
- Issue Display:
- Volume 19, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 19
- Issue:
- 2020
- Issue Sort Value:
- 2020-0019-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-09
- Subjects:
- non-small cell lung cancer -- tumor volume -- greatest tumor diameter -- TNM staging system -- surgical resection
Oncology -- Periodicals
Cancer -- Diagnosis -- Periodicals
Cancer -- Treatment -- Technological innovations -- Periodicals
616.994 - Journal URLs:
- http://tct.sagepub.com/ ↗
http://www.tcrt.org ↗
http://www.sagepub.com ↗ - DOI:
- 10.1177/1533033820980106 ↗
- Languages:
- English
- ISSNs:
- 1533-0346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 14964.xml