Clinical significance of tumor cavitation in surgically resected early-stage primary lung cancer

Tomizawa, Kenji; Shimizu, Shigeki; Ohara, Shuta; Fujino, Toshio; Nishino, Masaya; Sesumi, Yuichi; Kobayashi, Yohnosuke; Sato, Katsuaki; Chiba, Masato; Shimoji, Masaki; Suda, Kenichi; Takemoto, Toshiki; Mitsudomi, Tetsuya

doi:10.1016/j.lungcan.2017.08.004

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…The depth of tumor invasion was also the most unanimous signi cant prognostic parameter of node-negative GC patients, which was consistent with the multivariate analysis (P = 0.007) of independent factors related to OS in this study. In the aspect of tumor size, it is no consistency for the prognostic signi cance in node-negative AGC, unlike breast and lung cancer [28,29] . Chou et al demonstrated that bigger tumor was correlated with hematogenous metastasis, but we only observed tumor size was related to Locoregional recurrence [14] .…”

Section: Discussionmentioning

confidence: 99%

Recurrence in node-negative advanced gastric cancer with novel clinical and pathologic findings

Chen¹,

Xu²,

J³

et al. 2020

Preprint

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Abstract Background Node-negative gastric cancer patients carry a better prognosis than node-positive. However, a subset of these patients eventually died due to the high recurrence rate of recurrence. This study investigated the clinic-pathologic factors for recurrent patterns and prognosis. Methods The detailed medical records of 947 gastric cancer patients who underwent gastrectomy from the prospectively collected database of the Gastrointestinal Surgery Department of the First Affiliated Hospital of Zhejiang Chinese Medical University From January 2012 to December 2014 were analyzed retrospectively. Results Tumor size, tumor invasion, histological grading were the predictive factors for locoregional recurrence. Tumor invasion, histological grading, Lauren type and lymphatic vessel invasion resulted significantly in predicting peritoneal recurrence. Two parameters, tumor invasion and lymphatic vessel invasion, were significantly associated with hematogenous spread. The combinatorial biomarker of positive for both Ki67 and P53 was significantly associated with recurrence-free survival (RFS) (P = 0.037). Histological grading (P = 0.020), tumor invasion (P = 0.007) and lymphatic vessel invasion (P = 0.012) were independent factors related to overall survival (OS) in node-negative advanced gastric cancer patients. Conclusion The reported clinicopathologic factors for different recurrence patterns and the prognostic factors of RFS and OS should be considered to guide clinicians choose appropriate postoperative treatment strategy and construct individual follow-up schedule to improve prognosis of node-negative gastric cancer.

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Section: Discussionmentioning

confidence: 99%

Recurrence in node-negative advanced gastric cancer with novel clinical and pathologic findings

Chen¹,

Xu²,

J³

et al. 2020

Preprint

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“…Spread through air spaces (STAS) has been reported as a significant prognostic factor for NSCLC [22,23]. Tomizawa et al [24] screened 59 patients with tumor cavitation from 602 patients with p-stage I–IIA primary lung cancer, and found STAS in 23 of 59 patients with tumor cavitation, 17 of 38 patients with adenocarcinoma (45%), and 3 of 17 with squamous cell carcinoma (18%). A higher proportion of STAS in cavitary lung cancer cases might be one of the reasons for poor prognosis, however, our study did not include STAS analysis.…”

Section: Discussionmentioning

confidence: 99%

Cavity Formation is a Prognostic Indicator for Pathologic Stage I Invasive Lung Adenocarcinoma of ≥3 cm in Size

Chen

et al. 2019

Med Sci Monit

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BackgroundWe investigated the correlation between cavity formation, prognosis, and tumor stage for pathologic stage I invasive lung adenocarcinomas (IADCs) ≤3 cm in size.Material/Methods2106 candidates with pathologic stage I IADC were identified from Shanghai Chest Hospital between 2009 and 2014. There were 227 patients who were diagnosed as having cavity formation and another 1879 patients who were not (the non-cavitary lung cancer group). Kaplan-Meier analysis curves were conducted to compare the overall survival (OS) and relapse-free survival (RFS) between these 2 groups. Cox proportional hazards regression was performed to discover the independent risk factors of OS and RFS. Receiver operating characteristic (ROC) curve was done to determine the cutoff value of cavity size for predicting prognosis. Furthermore, subgroup analysis was stratified by the size of tumor and the 8th classification of T category.ResultsCompared with non-cavitary lung cancer group, patients with cavity formation were found to have a higher prevalence of male patients (P=0.015), older age patients (P=0.039), larger size tumors (P=0.004), and worse cancer relapse (P<0.001). Survival analysis found that patients with cavitary IADC had significantly shorter RFS than those with non-cavitary IADC (P=0.001). Further, subgroup analysis confirmed a significantly worse RFS in cavitary IADC group both in stage T1a (P=0.002) and T1b (P<0.001), but not for stage T1c (P=0.962) and T2a (P=0.364). Moreover, cavity formation was still less of a significant predictor of RFS in multivariable analysis (hazard ratio [HR] 1.810, 95% confidence level [CI] 1.229–2.665, P=0.003). The ROC curve showed that the best cutoff value of maximum diameter of the cavity for judging RFS was 5 mm (sensitivity: 0.500; specificity: 0.783). At the same time, multiple cavities were more likely to lead to recurrence (sensitivity: 0.605; specificity: 0.439).ConclusionsCavitary adenocarcinoma was a worse prognostic indicator compared with non-cavitary adenocarcinoma, especially for cavity >5 mm and multiple cavities. Thus, for stage T1a and T1b, cavitary and non-cavitary IADC should be considered separately.

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“…Adaboost combines the output of weak learners into a weighted sum that represents the final output of the boosted classifier, hence also known as ensemble classifier [17] as shown in Eq. (5)- (6).…”

Section: Adaptive Boosting (Adaboost)mentioning

confidence: 99%

“…A cavitated lesion, as shown in Fig. 1, is a relatively common finding in chest imaging and has been associated with a worse prognosis [5][6] , hence the motivation behind this work. Pathologically, it is defined as "a gas-filled space within a zone of pulmonary consolidation, mass, or nodule, produced by the expulsion of a necrotic part of the lesion via the bronchial tree".…”

Section: Introductionmentioning

confidence: 99%

A hybrid mortality prediction model of patients with cavitary pulmonary carcinomas

Saad

2018

Preprint

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To date, developing a reliable mortality prediction model remains challenging. Although clinical predictors like age, gender and laboratory results are of considerable predictive value, the accuracy often ranges only between 60-80%. In this study, we proposed prediction models built on the basis of clinical covariates with adjustment for additional variables that was radiographically induced. The proposed method exhibited a high degree of prediction accuracy of between 83-92%, as well as overall improvement of between 6-20% in all other metrics, such as ROC Area, False Positive Rates, Recall and Root Mean Square Error. We provide a proof of concept that there is an added value for incorporating the additional variables while predicting 24-month mortality in pulmonary carcinomas patients with cavitary lesions. It is hoped that the findings will be clinically useful to the medical community.

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Clinical significance of tumor cavitation in surgically resected early-stage primary lung cancer

Cited by 18 publications

References 17 publications

Recurrence in node-negative advanced gastric cancer with novel clinical and pathologic findings

Recurrence in node-negative advanced gastric cancer with novel clinical and pathologic findings

Cavity Formation is a Prognostic Indicator for Pathologic Stage I Invasive Lung Adenocarcinoma of ≥3 cm in Size

A hybrid mortality prediction model of patients with cavitary pulmonary carcinomas

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