The prognostic impact of tumor volume on stage I non-small cell lung cancer

Su, Xiao Dong; Xie, Hao; Liu, Qian Wen; Mo, Yun Xian; Long, Hao; Rong, Tie Hua

doi:10.1016/j.lungcan.2016.12.013

Cited by 22 publications

(28 citation statements)

References 23 publications

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“…CT-based features, including tumor volume, have been found to correlate with outcomes for NSCLC. Su, et al found that tumor volume contributed significantly as an independent prognostic factor for disease-free survival and OS in stage I NSCLC [14]. In a separate study in stage III NSCLC patients, it was found that the GTV at the time of radiation planning was independently associated with survival [17,20,25].…”

Section: Discussionmentioning

confidence: 99%

“…However, there remains a paucity of data on its significance and validation in clinical practice, as well as validation of the updated 8th edition TNM staging system [12,13]. Recently, quantitative tumor characteristics such as tumor diameter and tumor volume have been shown to have significant value in prognostication for non-small cell lung cancer (NSCLC), and tumor volume has been investigated as a biomarker in the management of localized and advanced NSCLC [14][15][16][17][18][19][20]. It is unclear whether these quantitative tumor characteristics, including tumor volume, obtained from imaging might similarly serve as prognostic biomarkers in SCLC.…”

Section: Introductionmentioning

confidence: 99%

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The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer

et al. 2020

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Introduction: Limited stage small cell lung cancer (LS-SCLC) has a poor prognosis. Additional prognostic markers are needed for risk-stratification and treatment intensification. This study compares quantitative CT-based volumetric tumor measurements versus International Association for the Study of Lung Cancer (IASLC) TNM staging to predict outcomes. Materials & methods: A cohort of 105 patients diagnosed with LS-SCLC and treated with chemoradiation (CRT) from 2000 to 2013 were analyzed retrospectively. Patients were staged by the Union for International Cancer Control (UICC) TNM Classification, 8th edition. Tumor volumes and diameters were extracted from radiation planning CT imaging. Univariable and multivariable models were used to analyze relationships between CT features and overall survival (OS), locoregional recurrence (LRR), in-field LRR, any progression, and distant metastasis (DM). Results: Median follow-up was 21.3 months. Two-year outcomes were as follows: 38% LRR, 31% in-field LRR, 52% DM, 62% any progression, and 47% OS (median survival 16.5 months). On univariable analysis, UICC T-stage and N-stage were not associated with any clinical outcome. UICC overall stage was only statistically associated with in-field LRR. One imaging feature (3D maximum tumor diameter) was found to be significantly associated with LRR (HR 1.10, p = 0.003), in-field LRR (HR 1.10, p = 0.007), DM (HR 1.10, p = 0.02), any progression (HR 1.10, p = 0.008), and OS (HR 1.10, p = 0.03). On multivariable analysis, this feature remained significantly associated with all outcomes. Conclusion: For LS-SCLC, quantitative CT-based volumetric tumor measurements were significantly associated with outcomes after CRT and may be better predictors of outcome than TNM stage.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer

et al. 2020

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“…In lung cancers with part-solid ground-glass nodules, a solid lesion from radiological findings indicates invasive area of the tumor, and was therefore reported to be associated with prognosis (22,23). There were reports that tumor volume affected the outcome of patients with lung cancer (24). However, lung cancers with cavity formation have less actual tumor volume compared with the whole solid lesion even if the tumor diameter is the same.…”

Section: Discussionmentioning

confidence: 99%

Prognostic factors for surgically resected non-small cell lung cancer with cavity formation

et al. 2018

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“…Besides, according to analysis by groups, we found obvious differences in metastases rates in the three groups. Several previous studies demonstrated that TV is an independent prognostic factor for NSCLC patients who underwent complete resection (21,27,29,30). Tsai et al suggested that the TV is a more accurate indicator to evaluate tumor size as well as survival of patients with stage Ia NSCLC (32).…”

Section: Correlation Between Small Gtd Tv and The Metastatic Lymph Nmentioning

confidence: 96%

“…However, others concluded that there is no such specific correlation between these two factors (13,16,18). The main reason for these different results is due to the discrepancy in the irregular shape of the tumor mass, even those with the same sizes (21). In other words, GTD does not sufficiently reflect the true tumor burden.…”

Section: Introductionmentioning

confidence: 99%

Tumor volume is more reliable to predict nodal metastasis in non-small cell lung cancer of 3 cm or less in diameter

Jia¹,

Chen²,

Long³

et al. 2020

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Background In this study, we sought to evaluate the correlation between TV, GTD, and lymph node metastases in NSCLC patients with tumors ≤ 3.0 cm. Methods We retrospectively analyzed the relationship between the clinicopathologic variables and lymph node involvement in 285 NSCLC patients with tumors ≤ 3.0 cm who accepted curative surgical resection. The TVs were semi-automatically measured by a software and optimal cutoff points obtained using X-tile software. The relationship between GTD and TV were described using non-linear regression. The correlation between GTD, TV, and N stages were analyzed using the Pearson correlation coefficient. The One-Way ANOVA was used to compare the GTD and TV of different lymph node stage groups. Results The relationship between GTD and TV accorded with the exponential growth model:y = 0.113e1.455x (y = TV, x = GTD). TV for patients with node metastases (4.782.83 cm3) was significantly greater for those without metastases (3.572.62 cm3) (P<0.001). However, there were no obvious GTD differences in cases with or without lymph node metastases (P = 0.054). We divided all cases into three TV groups using the two cutoff values (0.9 cm3 and 3.9 cm3) and there was an obvious difference in the lymphatic involvement rate between the groups (P<0.001). The tendency to metastasize was greater with higher TV especially when the TV was >0.9–14.2 cm3 (P = 0.010). Conclusions For NSCLC tumors ≤ 3.0 cm, TV is a more sensitive marker than GTD in predicting the positive lymph node metastases. The likelihood for metastasis increases with an increasing TV especially when GTD is > 2.0–3.0 cm.

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The prognostic impact of tumor volume on stage I non-small cell lung cancer

Cited by 22 publications

References 23 publications

The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer

The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer

Prognostic factors for surgically resected non-small cell lung cancer with cavity formation

Tumor volume is more reliable to predict nodal metastasis in non-small cell lung cancer of 3 cm or less in diameter

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