A retrospective clinicopathological study of lung adenocarcinoma: Total tumor size can predict subtypes and lymph node involvement

Chen, Cheng; Chen, Zhijun; Cao, Hanbo; Yan, Jinggang; Wang, Zhao-Yu; Le, Hanh; Weng, Jingjing; Zhang, Yongkui

doi:10.1016/j.clinimag.2017.08.009

Cited by 6 publications

(5 citation statements)

References 32 publications

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“…This could explain the occurrence of multiple metastases in the lymph nodes independently of tumor volumes presented in our study. Research concerning lung adenocarcinoma has demonstrated positive correlations between tumor size and the number of metastatic lymph nodes [56]. By contrast, Miller et al reported that tumor volume in cervical cancer patients did not correlate with the presence of lymph node metastases [57].…”

Section: Discussionmentioning

confidence: 97%

Usefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients

Samołyk-Kogaczewska¹,

Sierko

Dziemiańczyk-Pakieła

et al. 2020

Cancers

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(1) Background: The novel hybrid of positron emission tomography/magnetic resonance (PET/MR) examination has been introduced to clinical practice. The aim of our study was to evaluate PET/MR usefulness in preoperative staging of head and neck cancer (HNC) patients (pts); (2) Methods: Thirty eight pts underwent both computed tomography (CT) and PET/MR examination, of whom 21 pts underwent surgical treatment as first-line therapy and were further included in the present study. Postsurgical tissue material was subjected to routine histopathological (HP) examination with additional evaluation of p16, human papillomavirus (HPV), Epstein-Barr virus (EBV) and Ki67 status. Agreement of clinical and pathological T staging, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) of CT and PET/MR in metastatic lymph nodes detection were defined. The verification of dependences between standardized uptake value (SUV value), tumor geometrical parameters, number of metastatic lymph nodes in PET/MR and CT, biochemical parameters, Ki67 index, p16, HPV and EBV status was made with statistical analysis of obtained results; (3) Results: PET/MR is characterized by better agreement in T staging, higher specificity, sensitivity, PPV and NPV of lymph nodes evaluation than CT imaging. Significant correlations were observed between SUVmax and maximal tumor diameter from PET/MR, between SUVmean and CT tumor volume, PET/MR tumor volume, maximal tumor diameter assessed in PET/MR. Other correlations were weak and insignificant; (4) Conclusions: Hybrid PET/MR imaging is useful in preoperative staging of HNC. Further studies are needed.

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Section: Discussionmentioning

confidence: 97%

Usefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients

Samołyk-Kogaczewska¹,

Sierko

Dziemiańczyk-Pakieła

et al. 2020

Cancers

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“…For lung metastasis, we found that age, tumor size, and N stage were independent risk factors and that it was more likely for lung metastasis to occur when the tumor was ≥7 cm (odds ratio = 1.183, p = 0.011) and the N stage was higher (N3, odds ratio = 1.501, P < 0.001). It is possible that the larger tumor size is associated with a higher probability of lymph node metastasis and local disease extension (e.g., main stem bronchus involvement, visceral pleura invasion, chest wall invasion) (Chen et al, 2018). Finally, we observed the relationship between the metastasis pattern and age, gender, race and N-status.…”

Section: Discussionmentioning

confidence: 99%

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

Liu

et al. 2019

PeerJ

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Background Small-cell lung cancer (SCLC) is a malignant cancer with the ability to metastasize quickly. The relationship between tumor size and the distant metastasis patterns of Extensive-Stage Small Cell Lung Cancer (ES-SCLC) has not been reported.ObjectivesThe aim of this study was to determine the different distant metastasis patterns as they related to tumor size in ES-SCLC.Patients and MethodsWe used Surveillance, Epidemiology, and End Results (SEER) population-based data collected from 2010 through 2013 to identify 11058 ES-SCLC patients with definite evidence of distant metastases. Multivariate logistic regression analysis was used to demonstrate the association between tumor size and distant metastasis patterns including bone, liver, brain, and lung metastases. Age, race, sex, and N stage were also selected in the logistic regression model.ResultsSubtle differences in metastasis patterns were found among patients based on different tumor sizes. Patients with tumors 3–7 cm have a higher risk of bone metastasis compared with those that have tumors ≤3 cm (OR 1.165, 95% CI [1.055–1.287], P = 0.003) and patients with tumors ≥7 cm have a higher risk of lung metastasis (OR 1.183, 95% CI [1.039–1.347], P = 0.011). In addition, patients with tumors ≥7 cm had a lower risk of brain metastasis and liver metastasis than patients with tumors ≤3 cm (OR 0.799, 95% CI [0.709–0.901], P < 0.001; OR 0.747, 95% CI [0.672–0.830], P < 0.001). Interestingly, there was no correlation between a larger tumor and a higher risk of metastasis. However, the tumor metastasis pattern did have some correlation with age, gender, race and N-status.ConclusionThe pattern of distant metastasis of ES-SCLC is related to the tumor size and the tumor size is indicative of the metastatic site. Larger tumor sizes did not correlate with a higher risk of distant metastasis, but the size is related to the pattern of distant metastasis. The study of different distant metastasis patterns based on tumor size and other clinical features (e.g., age, race, sex, and N stage) in ES-SCLC is clinically valuable.

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“…We here believe that age is a contributor to IAC development, and smoking is positively correlated with MIA formation. Consistently, one group also found that ages are comparable between AIS and MIA patients but showed correlation with the occurrence of IAC [11]. In contrast, it was also reported that age and smoking showed no obvious correlation with lung adenocarcinoma types [12].…”

Section: Discussionmentioning

confidence: 67%

Features Based on Thin-section Computed Tomography Identify the Typeof lung Adenocarcinoma

Li¹,

Liu

Wang³

et al. 2020

Preprint

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Background: To investigate whether thin-section computed tomography (TSCT) features may efficiently guide the invasiveness basedclassification of lung adenocarcinoma. Methods: Totally, 316 lung adenocarcinoma patients (from 2011-2015) were divided into three groups: 56 adenocarcinoma in situ (AIS), 98 minimally invasive adenocarcinoma (MIA), and 162 invasive adenocarcinoma (IAC) according their pathological results. Their TSCT features, including nodule pattern, shape, pleural invasion, solid proportion, border, margin, vascular convergence, air bronchograms, vacuole sign, pleural indentation, diameter, solid diameter, and CT values of ground-glass nodules (GGN) were analyzed. Pearson’s chi-square test, Fisher’s exact test and One-way ANOVA were adopted tocomparebetweengroups. Receiver operating characteristic (ROC) analysis wereperformedto assess its value for prediction and diagnosis. Results: Patients with IAC were significantly elder than those in AIS or MIA group,and more MIA patients had a smoking history than AIS and IAC. No recurrence happened in the AIS and MIA groups, while 4.3% recurrences were confirmed in the IAC group. As for TSCT variables, we found AIS group showed dominantly higher 91.07%PGGN pattern and 87.50% round/oval nodules than that in MIA and IAC group. In contrast, MIA group showed more cases with undefined border and vascular convergence than AIS and IAC group. Importantly, IAC group uniquely showed higher frequency of pleural invasion compared with MIA and AIS group. The majority of patients (82.1%) in IAC group showed ≥ 50% solid proportion. We found diameter and solid diameter of the lesions were notably larger in the IAC group compared with AIS and MIA groupin quantitative aspect. In addition, for MGGNs, the CT values of ground-glass opacity (GGO) and ground-glass opacity solid portion (GGO-solid) were both higher in the IAC group than AIS and MIA. Finally, we also observed that smooth margin took a dominant proportion in the AIS group while most cases in the IAC group had a lobulate margin. Patients in MIA and IAC group shared higher level of air bronchograms and vacuole signs than AIS group. Conclusions: The unique features in different groups identified by TSCT had diagnosis value for lung adenocarcinoma.

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A retrospective clinicopathological study of lung adenocarcinoma: Total tumor size can predict subtypes and lymph node involvement

Cited by 6 publications

References 32 publications

Usefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients

Usefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

Features Based on Thin-section Computed Tomography Identify the Typeof lung Adenocarcinoma

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