[en] To investigate thin-section computed tomography (CT) features of pulmonary subsolid nodules (SSNs) with sizes between 5 and 20 mm to determine predictive factors for differentiating focal interstitial fibrosis (FIF) from adenocarcinoma. From January 2017 to December 2018, 169 patients who had persistent SSNs 5-20 mm in size and underwent preoperative nodule localization were enrolled. Patient characteristics and thin-section CT features of the SSNs were reviewed and compared between the FIF and adenocarcinoma groups. Univariable and multivariable analyses were used to identify predictive factors of malignancy. Receiver operating characteristic (ROC) curve analysis was used to quantify the performance of these factors. Among the 169 enrolled SSNs, 103 nodules (60.9%) presented as pure ground-glass opacities (GGOs), and 40 (23.7%) were FIFs. Between the FIF and adenocarcinoma groups, there were significant differences (p< 0.05) in nodule border, shape, thickness, and coronal/axial (C/A) ratio. Multivariable analysis demonstrated that a well-defined border, a nodule thickness >4.2, and a C/A ratio >0.62 were significant independent predictors of malignancy. The performance of a model that incorporated these three predictors in discriminating FIF from adenocarcinoma achieved a high area under the ROC curve (AUC, 0.979) and specificity (97.5%). For evaluating persistent SSNs 5-20 mm in size, the combination of a well-defined border, a nodule thickness > 4.2, and a C/A ratio > 0.62 is strongly correlated with malignancy. High accuracy and specificity can be achieved by using this predictive model.

[en] To investigate the role of PET in predicting the prognosis of resected stage IA non-small cell lung cancer (NSCLC) and planning individualized therapeutic strategies. We retrospectively reviewed the data of patients who underwent surgical resection for lung cancer between January 2004 and December 2014. The clinical data, imaging characteristics of nodules, surgical approaches, and outcomes were analyzed. We evaluated 998 cases; 637 patients with pathological stage I disease were categorized as follows: stage IA1 (251 cases), stage IA2 (250 cases), and stage IA3 (136 cases). The mean follow-up period was 109 months. Significant differences were observed in sex, tumor differentiation, epidermal growth factor receptor mutation, smoking habits, lymphovascular space invasion, tumor size, maximum standard uptake value (SUVmax), and carcinoembryonic antigen level among the groups. Multivariable Cox regression revealed that ground-glass opacity ratio (hazard ratio (HR) = 0.001) and tumor SUVmax independently predicted the postoperative risk of relapse for stage IA3 NSCLC. The HR for SUVmax > 4 was 8.986 (p < 0.001). The 5-year overall survival (OS) rates were 87.2%, 92.9%, and 82.7%, and the 5-year disease-free survival (DFS) rates were 93.2%, 84.2%, and 70.51% for stage IA1, IA2, and IA3 NSCLC, respectively (both p < 0.001). OS and DFS rates were poor in stage IA3 NSCLC patients with an SUVmax uptake > 4 (OS, 71.0% and 92.2%; DFS, 50.2% and 87.3%, for SUVmax > 4 and $\le <!--\; ???\; -->$ 4, respectively; both p = 0.001). SUVmax was a prognostic factor for resected stage IA NSCLC. Postoperative treatment may be considered for IA3 NSCLC with SUVmax > 4.

[en] 

Objective

: To study the surgical outcomes of patients with a second primary lung cancer after the extrapulmonary malignancy.

Materials and methods

: Patients who underwent surgical resection for lung cancers between January 2005 and December 2014 were reviewed. Clinical data, imaging characteristics of tumors, surgical approaches, and outcomes were analyzed with a mean follow-up of 97 months.

Results

: Of 1075 patients, 166 (15.4%) had a second primary lung cancer after extrapulmonary malignancy. There were no differences in overall 5-year survival rates (81.8% for the group of lung cancer vs. 72.9% for the second primary lung cancer group, p = 0.069) and 5-year disease-free survival (70.1% for the lung cancer group vs. 70.3% for the second primary lung cancer group, p = 0.863) between the two groups. Gender, performance status, tumor size, and maximum standard uptake value (SUVmax) were significantly different between the two groups. After propensity-score matching analysis, patients in the group with lung cancers had better 5-year overall survival (88.1% vs. 72.1% for the group with second primary lung cancers, p = 0.016) and 5-year disease-free survival (80.6% vs. 70.3% for the group with second primary lung cancers; p = 0.054). In the second primary lung cancer group, the patients with preceding breast or thyroid cancers had better prognoses than did those with other extrapulmonary malignancy.

Conclusions

: Second primary lung cancers following extrapulmonary malignancies were not uncommon. Surgical resection is considered for early stage secondary primary lung cancer after meticulous work up and result in fair outcome.

[en] We aimed to determine whether initial tumour responses measured during short-term follow-up computed tomography (CT) examinations after baseline examinations would correlate with clinical outcomes in patients with non-small cell lung cancer (NSCLC) who received epidermal growth factor receptor (EGFR)-targeted therapy. A total of 86 gefitinib-treated patients with advanced adenocarcinoma of the lung were retrospectively reviewed. All patients underwent baseline and short-term follow-up CT examinations. The new response criteria (NRC) by Lee et al. were used for the response evaluations. A Cox proportional hazards multiple regression model and Kaplan-Meier survival analyses were used to evaluate correlations between the initial tumour changes and progression-free and overall survival (PFS, OS). Better separation and smaller p values were observed for both PFS and OS when good and poor disease responses (as defined by NRC) were compared after excluding tumours with characteristic morphologies. Early tumour changes correlated with PFS in a size-dependent manner. Moreover, a stronger association was observed between size changes and PFS when characteristic morphology was also considered. Initial changes in tumour size during short-term post-treatment CT examinations could act as a potential prognostic imaging surrogate for PFS in gefitinib-treated patients with advanced adenocarcinoma of the lung. (orig.)

[en] The identification of the mutation status of the epidermal growth factor receptor (EGFR) is important for the optimization of treatment in patients with pulmonary adenocarcinoma. The acquisition of adequate tissues for EGFR mutational analysis is sometimes not feasible, especially in advanced-stage patients. The aim of this study was to predict EGFR mutation status in patients with pulmonary adenocarcinoma based on ¹⁸F-fluorodeoxyglucose (FDG) uptake and imaging features in positron emission tomography/computed tomography (PET/CT), as well as on the serum carcinoembryonic antigen (CEA) level. We retrospectively reviewed 132 pulmonary adenocarcinoma patients who underwent EGFR mutation testing, pretreatment FDG PET/CT and serum CEA analysis. The associations between EGFR mutations and patient characteristics, maximal standard uptake value (SUVmax) of primary tumors, serum CEA level and CT imaging features were analyzed. Receiver-operating characteristic (ROC) curve analysis was performed to quantify the predictive value of these factors. EGFR mutations were identified in 69 patients (52.2 %). Patients with SUVmax ≥6 (p = 0.002) and CEA level ≥5 (p = 0.013) were more likely to have EGFR mutations. The CT characteristics of larger tumors (≥3 cm) (p = 0.023) and tumors with a nonspiculated margin (p = 0.026) were also associated with EGFR mutations. Multivariate analysis showed that higher SUVmax and CEA level, never smoking and a nonspiculated tumor margin were the most significant predictors of EGFR mutation. The combined use of these four criteria yielded a higher area under the ROC curve (0.82), suggesting a good discrimination. The combined evaluation of FDG uptake, CEA level, smoking status and tumor margins may be helpful in predicting EGFR mutation status in patients with pulmonary adenocarcinoma, especially when the tumor sample is inadequate for genetic analysis or genetic testing is not available. Further large-scale prospective studies are needed to validate these results. (orig.)

[en] 

Background

: The aim of this study was to verify the predictors of recurrence and survival in lung adenocarcinoma patients with experiences of breast cancer therapies.

Methods

: We retrospectively reviewed consecutive patients who were treated at our hospital for lung adenocarcinoma from 2004/01 to 2014/03. The patients were divided into groups of those with lung adenocarcinoma alone and those with lung and breast cancer. Kaplan–Meier plots and log-rank tests were used to estimate outcomes.

Results

: 54 patients with lung adenocarcinoma and breast cancer were compared with 457 patients with single primary lung adenocarcinomas. After propensity score matching with control of age, operation type, smoking status and pathologic stage, tumor differentiation, recurrence rate and tumor size were significantly different between two groups. The significant predictors for recurrence included undergone chemotherapy (HR = 25, p < 0.001), moderate/poor differentiation (HR = 8.125, p = 0.012), tumor size ≧ 2 cm (HR = 15, p < 0.001), LVSI (HR = 13.67, p = 0.031) and GGO ratio < 50% (HR = 14.667, p = 0.014). The significant prognostic factors for survival were accepted chemotherapy (HR = 6.182, p = 0.021), LVSI (HR = 22, p = 0.012) and GGO ratio < 50% (HR = 9.143, p = 0.045). Kaplan–Meier analysis revealed that patients with lung adenocarcinoma and breast cancer had a better 5-year disease-free survival (p = 0.009), while the Her2-negative patients obtained a better overall survival (p = 0.038).

Conclusions

: In patients with breast cancer and lung adenocarcinoma, independent risk factors of recurrence were undergone chemotherapy, moderate/poor differentiation, tumor size ≧ 2 cm, LVSI and GGO ratio < 50%. Only undergone chemotherapy, LVSI and GGO ratio < 50% were significant poor predictors for survival. However, patients with metachronous lung adenocarcinoma and breast cancer had better disease-free survival and less tumor recurrence than patients with lung adenocarcinoma alone.