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Lee JH, Choi Y, Hong H, Kim YT, Goo JM, Kim H. Prognostic value of CT-defined ground-glass opacity in early-stage lung adenocarcinomas: a single-center study and meta-analysis. Eur Radiol 2024; 34:1905-1920. [PMID: 37650971 DOI: 10.1007/s00330-023-10160-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 05/23/2023] [Accepted: 07/18/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVES The prognostic value of ground-glass opacity at preoperative chest CT scans in early-stage lung adenocarcinomas is a matter of debate. We aimed to clarify the existing evidence through a single-center, retrospective cohort study and to quantitatively summarize the body of literature by conducting a meta-analysis. METHODS In a retrospective cohort study, patients with clinical stage I lung adenocarcinoma were identified, and the prognostic value of ground-glass opacity was analyzed using multivariable Cox regression. Commercial artificial intelligence software was adopted as the second reader for the presence of ground-glass opacity. The primary end points were freedom from recurrence (FFR) and lung cancer-specific survival (LCSS). In a meta-analysis, we systematically searched Embase and OVID-MEDLINE up to December 30, 2021, for the studies based on the eighth-edition staging system. The pooled hazard ratios (HRs) of solid nodules (i.e., absence of ground-glass opacity) for various end points were calculated with a multi-level random effects model. RESULTS In a cohort of 612 patients, solid nodules were associated with worse outcomes for FFR (adjusted HR, 1.98; 95% CI: 1.17-3.51; p = 0.01) and LCSS (adjusted HR, 1.937; 95% CI: 1.002-4.065; p = 0.049). The artificial intelligence assessment and multiple sensitivity analyses revealed consistent results. The meta-analysis included 13 studies with 12,080 patients. The pooled HR of solid nodules was 2.13 (95% CI: 1.69-2.67; I2 = 30.4%) for overall survival, 2.45 (95% CI: 1.52-3.95; I2 = 0.0%) for FFR, and 2.50 (95% CI: 1.28-4.91; I2 = 30.6%) for recurrence-free survival. CONCLUSIONS The absence of ground-glass opacity in early-stage lung adenocarcinomas is associated with worse postoperative survival. CLINICAL RELEVANCE STATEMENT Early-stage lung adenocarcinomas manifesting as solid nodules at preoperative chest CT, which indicates the absence of ground-glass opacity, were associated with poor postoperative survival. There is room for improvement of the clinical T categorization in the next edition staging system. KEY POINTS • In a retrospective study of 612 patients with stage I lung adenocarcinoma, solid nodules were associated with shorter freedom from recurrence (adjusted hazard ratio [HR], 1.98; p = 0.01) and lung cancer-specific survival (adjusted HR, 1.937; p = 0.049). • Artificial intelligence-assessed solid nodules also showed worse prognosis (adjusted HR for freedom from recurrence, 1.94 [p = 0.01]; adjusted HR for lung cancer-specific survival, 1.93 [p = 0.04]). • In meta-analyses, the solid nodules were associated with shorter freedom from recurrence (HR, 2.45) and shorter overall survival (HR, 2.13).
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Affiliation(s)
- Jong Hyuk Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Yunhee Choi
- Medical Research Collaborating Center, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Hyunsook Hong
- Medical Research Collaborating Center, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Young Tae Kim
- Seoul National University Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Jin Mo Goo
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
- Seoul National University Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
- Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Hyungjin Kim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea.
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea.
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Wu Y, Song W, Wang D, Chang J, Wang Y, Tian J, Zhou S, Dong Y, Zhou J, Li J, Zhao Z, Che G. Prognostic value of consolidation-to-tumor ratio on computed tomography in NSCLC: a meta-analysis. World J Surg Oncol 2023; 21:190. [PMID: 37349739 DOI: 10.1186/s12957-023-03081-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 06/17/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Although several studies have confirmed the prognostic value of the consolidation to tumor ratio (CTR) in non-small cell lung cancer (NSCLC), there still remains controversial about it. METHODS We systematically searched the PubMed, Embase, and Web of Science databases from inception to April, 2022 for eligible studies that reported the correlation between CTR and prognosis in NSCLC. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were extracted and pooled to assess the overall effects. Heterogeneity was estimated by I2 statistics. Subgroup analysis based on the cut-off value of CTR, country, source of HR and histology type was conducted to detect the sources of heterogeneity. Statistical analyses were performed using STATA version 12.0. RESULTS A total of 29 studies published between 2001 and 2022 with 10,347 patients were enrolled. The pooled results demonstrated that elevated CTR was associated with poorer overall survival (HR = 1.88, 95% CI 1.42-2.50, P < 0.01) and disease-free survival (DFS)/recurrence-free survival (RFS)/progression-free survival (PFS) (HR = 1.42, 95% CI 1.27-1.59, P < 0.01) in NSCLC. According to subgroup analysis by the cut-off value of CTR and histology type, both lung adenocarcinoma and NSCLC patients who had a higher CTR showed worse survival. Subgroup analysis stratified by country revealed that CTR was a prognostic factor for OS and DFS/RFS/PFS in Chinese, Japanese, and Turkish patients. CONCLUSIONS In NSCLC patients with high CTR, the prognosis was worse than that with low CTR, indicating that CTR may be a prognostic factor.
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Affiliation(s)
- Yongming Wu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wenpeng Song
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Denian Wang
- Precision Medicine Center, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Junke Chang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yan Wang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jie Tian
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Sicheng Zhou
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yingxian Dong
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jing Zhou
- Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Jue Li
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ziyi Zhao
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Guowei Che
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Ma X, Xia L, Chen J, Wan W, Zhou W. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model. Eur Radiol 2023; 33:1949-1962. [PMID: 36169691 DOI: 10.1007/s00330-022-09153-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 07/23/2022] [Accepted: 09/08/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To develop and validate a deep learning (DL) signature for predicting lymph node (LN) metastasis in patients with lung adenocarcinoma. METHODS A total of 612 patients with pathologically-confirmed lung adenocarcinoma were retrospectively enrolled and were randomly divided into training cohort (n = 489) and internal validation cohort (n = 123). Besides, 108 patients were enrolled and constituted an independent test cohort (n = 108). Patients' clinical characteristics and CT semantic features were collected. The radiomics features were derived from contrast-enhanced CT images. The clinical-semantic model and radiomics signature were built to predict LN metastasis. Furthermore, Swin Transformer was adopted to develop a DL signature predictive of LN metastasis. Model performance was evaluated by area under the receiver operating characteristic curve (AUC), sensitivity, specificity, calibration curve, and decision curve analysis. The comparisons of AUC were conducted by the DeLong test. RESULTS The proposed DL signature yielded an AUC of 0.948-0.961 across all three cohorts, significantly superior to both clinical-semantic model and radiomics signature (all p < 0.05). The calibration curves show that DL signature predicted probabilities fit well the actual observed probabilities of LN metastasis. DL signature gained a higher net benefit than both clinical-semantic model and radiomics signature. The incorporation of radiomics signature or clinical-semantic risk predictors failed to reveal an incremental value over the DL signature. CONCLUSIONS The proposed DL signature based on Swin Transformer achieved a promising performance in predicting LN metastasis and could confer important information in noninvasive mediastinal LN staging and individualized therapeutic options. KEY POINTS • Accurate prediction for lymph node metastasis is crucial to formulate individualized therapeutic options for patients with lung adenocarcinoma. • The deep learning signature yielded an AUC of 0.948-0.961 across all three cohorts in predicting lymph node metastasis, superior to both radiomics signature and clinical-semantic model. • The incorporation of radiomics signature or clinical-semantic risk predictors into deep learning signature failed to reveal an incremental value over deep learning signature.
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Affiliation(s)
- Xiaoling Ma
- Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Road, Qiaokou District, Wuhan, 430030, Hubei, China.
| | | | - Weijia Wan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Road, Qiaokou District, Wuhan, 430030, Hubei, China
| | - Wen Zhou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Road, Qiaokou District, Wuhan, 430030, Hubei, China
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Li Z, Xu W, Gu T, Cao X, Wu W, Chen L. Tumor size, but not consolidation-to-tumor ratio, is an independent prognostic factor for part-solid clinical T1 non-small cell lung cancer. Thorac Cancer 2022; 14:602-611. [PMID: 36578128 PMCID: PMC9968594 DOI: 10.1111/1759-7714.14788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 12/13/2022] [Accepted: 12/17/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Tumor size and consolidation-to-tumor ratio (CTR) are crucial for non-small cell lung cancer (NSCLC) prognosis. However, the optimal CTR cutoff remains unclear. Whether tumor size and CTR are independent prognostic factors for part-solid NSCLC is under debate. Here, we aimed to evaluate the prognostic impacts of CTR and tumor size on NSCLC, especially on part-solid NSCLC. METHODS We reviewed 1366 clinical T1 NSCLC patients who underwent surgical treatment. Log-rank test and Cox regression analyses were adopted for prognostic evaluation. The "surv_cutpoint" function was used to identify the optimal CTR and tumor size cutoff values. RESULTS There were 416, 510, and 440 subjects with pure ground-glass opacity (pGGO), part-solid, and pure solid nodules. The 5-year overall survival (disease-free survival) for patients with pGGO, part-solid, and pure solid nodules were 99.5% (99.5%), 97.3% (95.8%), and 90.4% (78.9%), respectively. Multivariate Cox regression analysis indicated that CTR was an independent prognostic factor for the whole patients, and the optimal CTR cutoff was 0.99. However, for part-solid NSCLC, CTR was not independently associated with survival, even if categorized by the optimal cutoffs. The predicted optimal cutoffs of total tumor size and solid component size were 2.4 and 1.4 cm for part-solid NSCLC. Total tumor size (HR = 6.21, 95% CI: 1.58-24.34, p = 0.009) and solid component size (HR = 2.27, 95% CI: 1.04-5.92, p = 0.045) grouped by the cutoffs were significantly associated with part-solid NSCLC prognosis. CONCLUSIONS CTR was an independent prognostic factor for the whole NSCLC, but not for the part-solid NSCLC. Tumor size was still meaningful for part-solid NSCLC.
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Affiliation(s)
- Zhihua Li
- Department of Thoracic SurgeryJiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Wenzheng Xu
- Department of Thoracic SurgeryJiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Tianhao Gu
- Department of Thoracic SurgeryJiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Xincen Cao
- Department of Thoracic SurgeryJiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Weibing Wu
- Department of Thoracic SurgeryJiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Liang Chen
- Department of Thoracic SurgeryJiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
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Gao Z, Wang X, Zuo T, Zhang M, Zhang Z. A predictive nomogram for lymph node metastasis in part-solid invasive lung adenocarcinoma: A complement to the IASLC novel grading system. Front Oncol 2022; 12:916889. [PMID: 36046052 PMCID: PMC9423719 DOI: 10.3389/fonc.2022.916889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background The International Association for the Study of Lung Cancer (IASLC) proposed a novel grading system for invasive lung adenocarcinoma, but lymphatic invasion was not evaluated. Meanwhile, the scope of lymph node dissection in part-solid invasive lung adenocarcinoma (PSILA) is still controversial. Therefore, this study aims to explore preoperative risk factors for lymph node metastasis in PSILA, to provide reference for intraoperative dissection of lymph nodes. Methods From 2018 to 2020, clinical data of patients (stage cN0) consecutively diagnosed as PSILA were retrospectively analyzed and classified according to the novel grading system. Logistic regression was conducted to screen the clinicopathological factors of lymph node metastasis in PSILA. Results A large cohort of 960 patients with PSILA who underwent lobectomy or sub-lobectomy were enrolled. By logistic regression analyses, solid part size, bronchial cutoff sign, spiculation, and carbohydrate antigen 199 (CA199) were eventually identified as independent risk factors for lymph node metastasis, based on which a nomogram was built to preoperatively predict the risk of lymph node metastasis [area under the receiver operating characteristic curve (AUC)=0.858; concordance index = 0.857; best cutoff, 0.027]. This suggests that intraoperative systematic lymph node dissection is recommended when the predicted risk value exceeds 0.027. Reproducibility of the novel grading system was verified. Conclusions The novel IASLC grading system was applicative in real world. The nomogram for preoperative prediction of lymph node metastasis may provide reference for the lymph node dissection strategy during PSILA surgeries.
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Affiliation(s)
- Zhaoming Gao
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Department of Thoracic Surgery, Binzhou People’s Hospital Affiliated to Shandong First Medical University, Binzhou, China
| | - Xiaofei Wang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Tao Zuo
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Mengzhe Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Zhenfa Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Zhenfa Zhang,
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Zhang T, Zhang C, Zhong Y, Sun Y, Wang H, Li H, Yang G, Zhu Q, Yuan M. A radiomics nomogram for invasiveness prediction in lung adenocarcinoma manifesting as part-solid nodules with solid components smaller than 6 mm. Front Oncol 2022; 12:900049. [PMID: 36033463 PMCID: PMC9406823 DOI: 10.3389/fonc.2022.900049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 07/20/2022] [Indexed: 12/04/2022] Open
Abstract
Objective To investigate whether radiomics can help radiologists and thoracic surgeons accurately predict invasive adenocarcinoma (IAC) manifesting as part-solid nodules (PSNs) with solid components <6 mm and provide a basis for rational clinical decision-making. Materials and Methods In total, 1,210 patients (mean age ± standard deviation: 54.28 ± 11.38 years, 374 men and 836 women) from our hospital and another hospital with 1,248 PSNs pathologically diagnosed with adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), or IAC were enrolled in this study. Among them, 1,050 cases from our hospital were randomly divided into a derivation set (n = 735) and an internal validation set (n = 315), 198 cases from another hospital were used for external validation. Each labeled nodule was segmented, and 105 radiomics features were extracted. Least absolute shrinkage and selection operator (LASSO) was used to calculate Rad-score and build the radiomics model. Multivariable logistic regression was conducted to identify the clinicoradiological predictors and establish the clinical-radiographic model. The combined model and predictive nomogram were developed based on identified clinicoradiological independent predictors and Rad-score using multivariable logistic regression analysis. The predictive performances of the three models were compared via receiver operating characteristic (ROC) curve analysis. Decision curve analysis (DCA) was performed on both the internal and external validation sets to evaluate the clinical utility of the nomogram. Results The radiomics model showed superior predictive performance than the clinical-radiographic model in both internal and external validation sets (Az values, 0.884 vs. 0.810, p = 0.001; 0.924 vs. 0.855, p < 0.001, respectively). The combined model showed comparable predictive performance to the radiomics model (Az values, 0.887 vs. 0.884, p = 0.398; 0.917 vs. 0.924, p = 0.271, respectively). The clinical application value of the nomogram developed based on the Rad-score, maximum diameter, and lesion shape was confirmed, and DCA demonstrated that application of the Rad-score would be beneficial for radiologists predicting invasive lesions. Conclusions Radiomics has the potential as an independent diagnostic tool to predict the invasiveness of PSNs with solid components <6 mm.
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Affiliation(s)
- Teng Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chengxiu Zhang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Yan Zhong
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yingli Sun
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Haijie Wang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Hai Li
- Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Quan Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Quan Zhu, ; Mei Yuan,
| | - Mei Yuan
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Quan Zhu, ; Mei Yuan,
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Nakada T, Yabe M, Ohtsuka T. Efficacy of a combined tool for stage I non‑small cell lung cancer against lymph node metastasis. Oncol Lett 2022; 24:332. [PMID: 36039061 PMCID: PMC9404702 DOI: 10.3892/ol.2022.13452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/13/2022] [Indexed: 11/06/2022] Open
Abstract
In patients with clinical stage I non-small cell lung cancer (NSCLC), the prediction of occult lymph node metastasis (LNM) based on a combination of morphology using high-resolution computed tomography (HRCT) and metabolism using positron emission tomography (PET)-CT is unknown. The present study evaluated the use of predictive radiological tools, chest CT and PET-CT, for occult LNM in patients with clinical stage I NSCLC. The records of patients who underwent lobectomy between July 2014 and November 2021 were retrospectively reviewed. The differences in clinicopathological parameters, including CT and PET, between the LNM and non-LNM groups were assessed. Pure solid tumor was defined as a consolidation-to-tumor ratio of 1. The optimal cut-off value for predictive radiological tools for LNM was assessed according to the area under the receiver operating characteristic (ROC) curve. The present study included 288 patients, of whom 39 (13.5%) had LNM; of these 38 (97.4%) were pure solid type. Larger consolidation size (CS), higher maximal standardized uptake (SUVmax) value and histological type were statistically associated with LNM (all P<0.05). The optimal cutoff values of CS and SUVmax for predicting LNM were 19 mm and 5.5 respectively, as assessed using the area under the ROC curve. The combination of CS ≥19 mm and SUVmax ≥5.5 demonstrated a markedly higher odds ratio (9.184; 95% CI, 4.345-19.407) than each parameter individually. The minimum values of CS and SUVmax associated with LNM were 10 mm and 0.8 respectively. Pure solid formation and CS as morphology and SUVmax as metabolism were useful tools that complemented each other in predicting LNM. The combined method of evaluating SUVmax and CS may identify eligibility for LN dissection. However, considering the minimum values of CS and SUVmax in LNM, it cannot affirm the omission of LN dissection for cases that do not meet the combined criteria using HRCT and PET-CT.
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Affiliation(s)
- Takeo Nakada
- Department of Surgery, Division of Thoracic Surgery, The Jikei University School of Medicine, Tokyo 105‑8471, Japan
| | - Mitsuo Yabe
- Department of Surgery, Division of Thoracic Surgery, The Jikei University School of Medicine, Tokyo 105‑8471, Japan
| | - Takashi Ohtsuka
- Department of Surgery, Division of Thoracic Surgery, The Jikei University School of Medicine, Tokyo 105‑8471, Japan
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Hsu HS, Ping-Chung T. Management of pulmonary ground glass opacity: A review of current clinical practice guidelines. FORMOSAN JOURNAL OF SURGERY 2022. [DOI: 10.4103/fjs.fjs_107_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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He J, Liang H, Wang W, Akopov A, Aiolfi A, Ang KL, Bertolaccini L, Cai K, Cao Q, Chen B, Chen C, Chen C, Chen D, Chen F, Chen J, Chen L, Chen M, Chen Y, Chen Z, Cheng C, Cui D, Cui F, Dai T, Dong Q, Ferrari PA, Flores RM, Fu J, Funaki S, Froudarakis ME, Gan X, Geng M, Guo J, Guo Q, Han Y, He J, He K, Hirai K, Hu J, Hu S, Huang J, Huang J, Jiang W, Kim KS, Kiss G, Kong F, Lan L, Leng X, Li B, Li G, Li H, Li H, Li H, Li J, Li X, Li S, Li Y, Li Z, Liang Y, Liang L, Liang W, Liao Y, Lin W, Lin X, Liu H, Liu H, Liu J, Liu J, Liu X, Liu Z, Lu X, Luo Q, Mao N, Pan Q, Pang D, Peng J, Peng J, Pompeo E, Qian R, Qiao K, Redwan B, Sang Z, Shao W, Shen J, Shen W, Sung SW, Tang W, Wang T, Wang G, Wang H, Wang H, Wang J, Wang W, Wang Y, Wang Z, Wei L, Wei W, Wu H, Wu J, Xia Z, Xu C, Xu E, Xu H, Xu N, Xu Q, Xu R, Xu S, Yang C, Yang H, Yang S, Yi J, Zhang G, Zhang H, Zhang J, Zhang M, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao J, Zhao X, Zhou J, Zhou Y, Zhu C, Zhu S, Zhu X, Cui J, Yan Y, Chen KN. Tubeless video-assisted thoracic surgery for pulmonary ground-glass nodules: expert consensus and protocol (Guangzhou). Transl Lung Cancer Res 2021; 10:3503-3519. [PMID: 34584853 PMCID: PMC8435391 DOI: 10.21037/tlcr-21-663] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/23/2021] [Indexed: 12/13/2022]
Affiliation(s)
- Jianxing He
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Hengrui Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Andrey Akopov
- Department of Thoracic Surgery, First Pavlov State Medical University, Saint-Petersburg, Russia
| | - Alberto Aiolfi
- Division of Minimally Invasive Surgery, Istituto Clinico Sant'Ambrogio, University of Milan, Milan, Italy
| | - Keng-Leong Ang
- Department of Thoracic Surgery, Glenfield Hospital, Leicester, UK
| | - Luca Bertolaccini
- Department of Thoracic Surgery, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Kaican Cai
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Qingdong Cao
- Department of Thoracic Surgery, the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Baojun Chen
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Donglai Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Fengxia Chen
- Department of Thoracic Surgery, Hainan General Hospital, Hainan, China
| | - Jun Chen
- Lung Cancer Department, Tianjin General Hospital, Tianjin Medical University, Tianjin, China
| | - Lei Chen
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mingwu Chen
- Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yongbing Chen
- Department of Thoracic Surgery, the Second Affiliated Hospital of Soochow University, Soochow, China
| | - Zhuxing Chen
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Chao Cheng
- Department of Thoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Dong Cui
- Department of Thoracic Surgery, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Fei Cui
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Tianyang Dai
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou, China
| | - Qinglong Dong
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Paolo A Ferrari
- Division of Thoracic Surgery, Oncology Hospital "A. Businco", A.R.N.A.S. "G. Brotzu", Cagliari, Italy
| | - Raja M Flores
- Department of Thoracic Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Junke Fu
- Department of Thoracic Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Soichiro Funaki
- Department of General Thoracic Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Marios E Froudarakis
- Department of Pneumonology and Thoracic Oncology, North Hospital, University Hospital of Saint-Etienne, St-Etienne, France
| | - Xiangfeng Gan
- Department of Thoracic Surgery, the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Mingfei Geng
- Department of Thoracic Surgery, Anyang Tumour Hospital, Anyang, China
| | - Jialong Guo
- Department of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Qiang Guo
- Department of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, China
| | - Yongtao Han
- Division of Thoracic Surgery, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China
| | - Jintao He
- Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Kaiming He
- Department of Thoracic Surgery, Southwest Medical University Affiliated Hospital, Luzhou, China
| | - Kyoji Hirai
- Division of Thoracic Surgery, Nippon Medical School Chiba Hokusoh Hospital, Chiba, Japan
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuqiao Hu
- Department of Thoracic Surgery, Longyan City First Hospital, Longyan, China
| | - Jian Huang
- Department of Thoracic Surgery, Maoming People's Hospital, Maoming, China
| | - Jun Huang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wenfa Jiang
- Department of Thoracic Surgery, Ganzhou People's Hospital, Ganzhou, China
| | - Kyung Soo Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Gabor Kiss
- Department of Cardiovascular and Thoracic Surgery, Anaesthesia and Surgical Intensive Care, University Hospital Felix Guyon, Saint Denis, Reunion Island, France
| | - Fanyi Kong
- Department of Thoracic Surgery, Cangzhou Central Hospital, Cangzhou, China
| | - Lan Lan
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xuefeng Leng
- Division of Thoracic Surgery, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China
| | - Bin Li
- Department of Thoracic Surgery, Lanzhou University Second Hospital, Lanzhou University Second Clinical Medical College, Lanzhou, China
| | - Gaofeng Li
- 2nd Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hecheng Li
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hefei Li
- Department of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, China
| | - Heng Li
- 2nd Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jiwei Li
- Department of Thoracic Surgery, Zhengzhou Key Laboratory for Surgical Treatment for End-stage Lung Disease, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Xiaoqiang Li
- Department of Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen, China
| | - Shuben Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yinfen Li
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhuoyi Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yi Liang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, China
| | - Lixia Liang
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yongde Liao
- Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wanli Lin
- Department of Thoracic Surgery, Gaozhou People's Hospital, Gaozhou, China
| | - Xu Lin
- Department of Thoracic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hongxu Liu
- Department of Thoracic Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Hui Liu
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jixian Liu
- Department of Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen, China
| | - Jun Liu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Xiang Liu
- Department of Thoracic Surgery, Second Affiliated Hospital of the University of South China, Hengyang, China
| | - Zihao Liu
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xingzhao Lu
- Department of Cardiothoracic Surgery, Dongguan People's Hospital, Dongguan, China
| | - Qingquan Luo
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Naiquan Mao
- Department of Thoracic Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Qi Pan
- Department of Thoracic Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Dazhi Pang
- Department of Thoracic Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Jun Peng
- Department of Thoracic Surgery, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Jun Peng
- Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Eugenio Pompeo
- Department of Thoracic Surgery, Policlinico Tor Vergata University of Rome, Rome, Italy
| | - Rulin Qian
- Department of Thoracic Surgery, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Kun Qiao
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen, China
| | - Bassam Redwan
- Department of Thoracic Surgery, Klinik am Park, Klinikum Westfalen, Lünen, Germany
| | - Zi Sang
- Department of Thoracic Surgery, Anyang Tumour Hospital, Anyang, China
| | - Wenlong Shao
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Jianfei Shen
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou, China
| | - Weiyu Shen
- Department of Thoracic Surgery, Ningbo medical center LIHUILI Hospital, Ningbo, China
| | - Sook-Whan Sung
- Thoracic and Cardiovascular Surgery, Ewha Womens University Seoul Hospital, Seoul, Korea
| | - Wenfang Tang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, China
| | - Tianhu Wang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guangsuo Wang
- Department of Thoracic Surgery, People's Hospital of Shenzhen, Shenzhen, China
| | - Haitao Wang
- Department of Thoracic Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Huien Wang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Jiyong Wang
- Department of Cardiothoracic, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wen Wang
- Department of Cardio-Thoracic Surgery, Hunan Provincial People's Hospital and The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Yongyong Wang
- Department of Thoracic Surgery, the Second Affiliated Hospital of Soochow University, Soochow, China
| | - Zhenyuan Wang
- Department of Thoracic Surgery, The People's Hospital of Liaoning Province, Shenyang, China
| | - Li Wei
- Department of Thoracic Surgery, Zhengzhou Key Laboratory for Surgical Treatment for End-stage Lung Disease, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Wei Wei
- Department of Thoracic Surgery, Huizhou Municipal Central Hospital, Huizhou, China
| | - Hao Wu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Jie Wu
- Department of Thoracic Surgery, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Zhaohua Xia
- Department of Thoracic Surgery, Third People's Hospital of Shenzhen, Shenzhen, China
| | - Chenyang Xu
- Department of Thoracic Surgery, Ganzhou People's Hospital, Ganzhou, China
| | - Enwu Xu
- General Hospital of Southern Theater Command, PLA, Guangzhou, China
| | - Hai Xu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Ning Xu
- Department of Thoracic Surgery, Anhui Chest Hospital, Hefei, China
| | - Quan Xu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Rongyu Xu
- Department of Thoracic Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Shun Xu
- Department of Thoracic Surgery, First Affiliated Hospital of China Medical University, Shenyang, China
| | - Chaokun Yang
- Department of Thoracic Surgery, The Second Peoples' Hospital of Yibin, Yibin, China
| | - Hanyu Yang
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shengli Yang
- Department of Thoracic Surgery, The First People's Hospital of Foshan, Foshan, China
| | - Jun Yi
- Department of Thoracic and Cardiovascular Surgery, The First People's Hospital of Jingmen, Jingmen, China
| | - Guangjian Zhang
- Department of Thoracic Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hao Zhang
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jia Zhang
- Department of Thoracic Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Man Zhang
- Department of Thoracic Surgery, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Xiao Zhang
- Department of Thoracic Surgery, The Affiliated Luoyang Central Hospital of Zhengzhou University, Luoyang, China
| | - Yajie Zhang
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhe Zhang
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Zhifeng Zhang
- Department of Thoracic Surgery, Jieyang People's Hospital, Jieyang, China
| | - Honglin Zhao
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian Zhao
- Department of Chest Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Xiaodong Zhao
- Department of Thoracic Surgery, the Affiliated Hospital of Medical School, Ningbo University, Ningbo, China
| | - Jianping Zhou
- Department of Cardiothoracic Surgery, Dongguan People's Hospital, Dongguan, China
| | - Yanran Zhou
- Department of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chengchu Zhu
- Department of Thoracic Surgery, Taizhou Hospital, Taizhou, China
| | - Shaojin Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China
| | - Xinhai Zhu
- Department of Thoracic Surgery, Zhejiang Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Jian Cui
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Harbin Medical University L, Harbin, China
| | - Yubo Yan
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Ke-Neng Chen
- Department of Thoracic Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
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Bertolaccini L, Spaggiari L. The importance of being solid for a ground glass opacity of the lung. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1043. [PMID: 34422955 PMCID: PMC8339807 DOI: 10.21037/atm-21-1270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 05/26/2021] [Indexed: 11/07/2022]
Affiliation(s)
- Luca Bertolaccini
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Lorenzo Spaggiari
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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Minato H, Katayanagi K, Kurumaya H, Tanaka N, Fujimori H, Tsunezuka Y, Kobayashi T. Verification of the eighth edition of the UICC-TNM classification on surgically resected lung adenocarcinoma: Comparison with previous classification in a local center. Cancer Rep (Hoboken) 2021; 5:e1422. [PMID: 34169671 PMCID: PMC8789611 DOI: 10.1002/cnr2.1422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/29/2021] [Accepted: 05/03/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND The UICC 8th TNM classification of lung cancer has been changed dramatically, especially in measuring methods of T-desriptors. Different from squamous- or small-cell carcinomas, in which the solid- and the invasive-diameter mostly agree with each other, the diameter of the radiological solid part and that of pathological invasive part in adenocarcinomas often does not match. AIM We aimed to determine radiological and pathological tumor diameters of pulmonary adenocarcinomas with clinicopathological factors and evaluate the validity of the 8th edition in comparison with the 7th edition. METHODS AND RESULTS We retrospectively analyzed clinicopathological factors of 429 patients with surgically resected pulmonary adenocarcinomas. The maximum tumor and their solid-part diameters were measured using thin-sectioned computed tomography and compared with pathological tumor and invasive diameters. Overall survival (OS) rate was determined using the Kaplan-Meier method for different subgroups of clinicopathological factors. Akaike's information criteria (AIC) was used as a discriminative measure for the univariate Cox model for the 7th and 8th editions. Multivariate Cox regression analysis was performed to explore independent prognostic factors. Correlation coefficients between radiological and pathological diameters in the 7th and 8th editions were 0.911 and 0.888, respectively, without a significant difference. The major reasons for the difference in the 8th edition were the presence of intratumoral fibrosis and papillary growth pattern. The weighted kappa coefficients in the 8th edition were superior those in the 7th edition for both the T and Stage classifications. In the univariate Cox model, AIC levels were the lowest in the 8th edition. Multivariate analysis revealed that age, lymphovascular invasion, pT(8th), and stage were the most important determinants for OS. CONCLUSION The UICC 8th edition is a more discriminative classification than the 7th edition. For subsolid nodules, continuous efforts are necessary to increase the universality of the measurement of solid and invasive diameters.
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Affiliation(s)
- Hiroshi Minato
- Department of Diagnostic Pathology, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
| | - Kazuyoshi Katayanagi
- Department of Diagnostic Pathology, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
| | - Hiroshi Kurumaya
- Department of Diagnostic Pathology, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
| | - Nobuhiro Tanaka
- Department of General Thoracic Surgery, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
| | - Hideki Fujimori
- Department of General Thoracic Surgery, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
| | - Yoshio Tsunezuka
- Department of General Thoracic Surgery, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
| | - Takeshi Kobayashi
- Department of Diagnostic and Interventional Radiology, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan
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12
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Prognostic histologic subtyping of dominant tumor in resected synchronous multiple adenocarcinomas of lung. Sci Rep 2021; 11:9539. [PMID: 33953254 PMCID: PMC8100294 DOI: 10.1038/s41598-021-88193-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/09/2021] [Indexed: 11/10/2022] Open
Abstract
The prognostic role of histological patterns of dominant tumor (DT) and second dominant tumor (sDT) in synchronous multiple adenocarcinoma (SMADC) of lung remains unclear. SMADC patients diagnosed between 2003 and 2015 were retrospectively reviewed. DT and sDT were defined as two maximum diameters of consolidation among multiple tumors. Histological pattern was determined using IASLC/ATS/ERS classification system. DTs were divided into low- (lepidic), intermediate- (acinar, papillary) and high-grade (micropapillary, solid) subtypes, and sDTs into non-invasive predominant (lepidic) and invasive predominant (acinar, papillary, micropapillary, solid) subtypes. During mean 74-month follow-up among 149 nodal-negative patients having SMADC resected, recurrence was noted in 44 (29.5%), with significantly higher percentage in high-grade DT (p < 0.001). Five-year overall (OS) and disease-free (DFS) survivals in low-, intermediate- and high-grade DT were 96.9%, 94.3%, 63.3% (p < 0.001) and 100%, 87.2%, 30.0%, respectively (p < 0.001). Cox-regression multivariate analysis demonstrated high-grade DT as a significant predictor for DFS (Hazard ratio [HR] 5.324; 95% CI 2.570–11.462, p < 0.001) and OS (HR 3.287; 95% CI 1.323–8.168, p = 0.010). Analyzing DT and sDT together, we found no significant differences in DFS, either in intermediate- or high-grade DT plus invasive or non-invasive sDT. DT was histologically an independent risk factor of DFS and OS in completely resected nodal-negative SMADCs.
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Nakada T, Kuroda H. Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer. J Thorac Dis 2021; 13:3171-3181. [PMID: 34164207 PMCID: PMC8182523 DOI: 10.21037/jtd-20-3380] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Various radiological tools can predict the prognosis of non-small cell lung cancer (NSCLC). In this study, we evaluated the prognostic effect of different radiological tools such as whole tumor size (WTS), consolidation size (CS), consolidation tumor ratio (CTR), tumor disappearance ratio (TDR), mediastinal diameter (MD), and ground glass opacity (GGO) using high-resolution computed tomography (HRCT). We reviewed recent retrospective studies on the predictive effect of these radiological tools on disease-free survival (DFS) and overall survival (OS) in patients with T1N0-staged NSCLC. We searched PubMed and the British Library databases for the English literature published from January 2010 to December 2020 and generated a total of 32 publications (NSCLC, n=16; adenocarcinoma, n=16). The TNM classification version 7 was used in 18 studies, and version 8 in 14 studies. The evaluated radiological parameters were WTS, CS including T category, CTR, TDR, MD, presence of GGO, GGO ratio, and pure GGO. This review suggested that CS, MD, and the presence of GGO are optimal prognostic radiological tools for cT1N0-Staged NSCLC. CTR or TDR for part solid nodules (PSNs) is not a well-accepted prognostic factor. Further investigations are required to differentiate between benign scars and malignant components on HRCT and evaluate the prognosis of PSNs (1< CS ≤2 cm) with large WTS in the future.
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Affiliation(s)
- Takeo Nakada
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Hiroaki Kuroda
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
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14
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Yin J, Xi J, Liang J, Zhan C, Jiang W, Lin Z, Xu S, Wang Q. Solid Components in the Mediastinal Window of Computed Tomography Define a Distinct Subtype of Subsolid Nodules in Clinical Stage I Lung Cancers. Clin Lung Cancer 2021; 22:324-331. [PMID: 33789831 DOI: 10.1016/j.cllc.2021.02.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 02/18/2021] [Accepted: 02/18/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND We aimed to validate the clinicopathologic characteristics and prognostic value of the presence of solid components in the mediastinal window of computed tomography scan in clinical stage I pulmonary subsolid nodules (SSNs). METHODS We retrospectively evaluated patients with pulmonary SSNs resected between 2011 and 2016. We classified SSNs into heterogeneous ground-glass nodules (HGGNs) (solid component detected only in lung window) and part-solid nodules (PSNs) (solid component detected both in lung/mediastinal windows). RESULTS A total of 487 patients (216 PSNs) were included. PSNs were associated with higher frequencies of micropapillary or solid pathologic patterns (18.1% vs. 3.3%; P < .001), epidermal growth factor receptor gene mutation (39.4% vs. 32.8%), and other types of gene mutations (2.3% vs. 1.1%; P = .043). Logistic regression analysis revealed that male sex (odds ratio [OR], 2.58; 95% confidence interval [CI], 1.20-5.57; P = .016) and higher consolidation tumor ratio (CTR) (OR, 110.04; 95% CI, 8.56-1414.39; P < .001) remained independent for invasive adenocarcinomas with poor differentiation. Receiver operating characteristic analyses revealed that solid component size in the mediastinal window (area under the curve [AUC], 0.731; 95% CI, 0.653-0.808; P < .0001) showed a better predictive ability to poor differentiation compared with solid component size in the lung window and CTR. The 5-year recurrence-free survival (RFS) rate of PSNs was worse than that of HGGNs (94.6% vs. 99.1%; P = .019). Multivariate Cox regression revealed that positive lymph node status (hazard ratio, 22.99; 95% CI, 4.52-116.86; P < .001) indicated worse RFS for PSNs. CONCLUSION SSNs with solid components in mediastinal window demonstrated clinicopathologic and prognostic features different from those without in clinical stage I lung cancer. Solid components in mediastinal window was a strong predictor of poor differentiation.
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Affiliation(s)
- Jiacheng Yin
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Junjie Xi
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiaqi Liang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Cheng Zhan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Jiang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zongwu Lin
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Songtao Xu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qun Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
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15
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Choi H, Kim H, Park CM, Kim YT, Goo JM. Central Tumor Location at Chest CT Is an Adverse Prognostic Factor for Disease-Free Survival of Node-Negative Early-Stage Lung Adenocarcinomas. Radiology 2021; 299:438-447. [PMID: 33620290 DOI: 10.1148/radiol.2021203937] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The prognostic value of primary tumor location in the central lung is unclear because of heterogeneity in definitions of central lung cancer (CLC). Purpose To (a) validate the prognostic value of two recently proposed definitions of CLC by using a method designed to offset the shortcomings of existing evidence and (b) investigate the prognostic implications of a quantitative definition of CLC at chest CT. Materials and Methods Patients with pathologic stage T1a-bN0M0 lung adenocarcinomas resected between 2009 and 2015 at a single tertiary care center were retrospectively identified. The primary end point was disease-free survival. The associations of multiple definitions of central tumor location with survival were evaluated by using multivariable Cox regression. Time-dependent discrimination measures and interreader agreement were assessed for each definition. Results A total of 436 patients (median age, 62 years [interquartile range, 55-69 years]; 245 women) were evaluated. Tumor location at CT in the inner one-third of the lung defined by concentric lines arising from the hilum was adversely associated with survival (five events among 34 patients with CLC and 27 events among 402 patients with peripheral lung cancer; adjusted hazard ratio, 2.90 [95% CI: 1.06, 7.96; P = .04]) and showed moderate interreader agreement (Cohen κ = 0.52 [95% CI: 0.37, 0.68]). Quantitatively determined location in the inner two-thirds of the lung was also an independent prognostic factor (16 events among 130 patients with CLC and 16 events among 306 patients with peripheral lung cancer; adjusted hazard ratio, 2.77 [95% CI: 1.36, 5.65]; P = .005), with higher interreader agreement (Cohen κ = 0.86 [95% CI: 0.80, 0.91]; P < .001). The quantification-based definition exhibited higher time-dependent sensitivity (48.2% [14.27/29.61; 95% CI: 28.8, 67.6] vs 15.1% [4.47/29.61; 95% CI: 1.3, 28.9]; P < .001). Conclusion Central lung cancer at chest CT, defined qualitatively or quantitatively, is an independent adverse prognostic factor in patients with node-negative, early-stage lung adenocarcinomas. The quantification-based approach has advantages in terms of time-dependent sensitivity and reproducibility. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Wandtke and Hobbs in this issue.
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Affiliation(s)
- Hyewon Choi
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (H.C., H.K., C.M.P., J.M.G.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.C.); Department of Radiology (H.K., C.M.P., J.M.G.) and Department of Thoracic and Cardiovascular Surgery (Y.T.K.), Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (C.M.P., J.M.G.); and Cancer Research Institute, Seoul National University, Seoul, Korea (C.M.P., Y.T.K., J.M.G.)
| | - Hyungjin Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (H.C., H.K., C.M.P., J.M.G.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.C.); Department of Radiology (H.K., C.M.P., J.M.G.) and Department of Thoracic and Cardiovascular Surgery (Y.T.K.), Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (C.M.P., J.M.G.); and Cancer Research Institute, Seoul National University, Seoul, Korea (C.M.P., Y.T.K., J.M.G.)
| | - Chang Min Park
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (H.C., H.K., C.M.P., J.M.G.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.C.); Department of Radiology (H.K., C.M.P., J.M.G.) and Department of Thoracic and Cardiovascular Surgery (Y.T.K.), Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (C.M.P., J.M.G.); and Cancer Research Institute, Seoul National University, Seoul, Korea (C.M.P., Y.T.K., J.M.G.)
| | - Young Tae Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (H.C., H.K., C.M.P., J.M.G.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.C.); Department of Radiology (H.K., C.M.P., J.M.G.) and Department of Thoracic and Cardiovascular Surgery (Y.T.K.), Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (C.M.P., J.M.G.); and Cancer Research Institute, Seoul National University, Seoul, Korea (C.M.P., Y.T.K., J.M.G.)
| | - Jin Mo Goo
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (H.C., H.K., C.M.P., J.M.G.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.C.); Department of Radiology (H.K., C.M.P., J.M.G.) and Department of Thoracic and Cardiovascular Surgery (Y.T.K.), Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (C.M.P., J.M.G.); and Cancer Research Institute, Seoul National University, Seoul, Korea (C.M.P., Y.T.K., J.M.G.)
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Kuroda H, Nakada T, Oya Y, Takahashi Y, Matsusita H, Sakakura N. Clinical adjustability of radiological tools in patients with surgically resected cT1N0-staged non-small-cell lung cancer from the long-term survival evaluation. J Thorac Dis 2020; 12:6655-6662. [PMID: 33282366 PMCID: PMC7711385 DOI: 10.21037/jtd-20-1610] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Various radiological tools have been introduced to determine the malignancy or prognosis of lung carcinomas. We retrospectively summarized the clinical outcomes to evaluate whether radiological tools such as consolidation-to-tumor ratio (CTR), tumor disappearance ratio (TDR), and mediastinal diameter (MD) are suitable for surgically resected non-small-cell lung cancer (NSCLC). Methods This retrospective study included 260 patients (128 men and 132 women; median age, 64 years) with cT1N0-staged NSCLC who underwent thoracotomy. Disease-free survival (DFS) and overall survival (OS) outcomes were analyzed using the Kaplan-Meier method and Cox proportional hazards model. Results When the adjusted hazard ratios (HRs) with reference to cT1a/1 mi were calculated, significant differences were observed in cT1b and cT1c for DFS (P=0.04 and P<0.01, respectively) and in cT1c for OS (P=0.01). For HRs with reference to CTR (≤0.5), a significant difference was only observed in CTR (>0.5) for DFS (P=0.01). For HRs with reference to TDR (≤25%), significant differences were observed in TDR (>75%) for DFS (P=0.02) and OS (P=0.02). For HRs with reference to MD (≤5 mm), significant differences were observed in 6–20 mm (P=0.04) and >20 mm (P=0.02) for DFS and in >20 mm (P=0.02) for OS. Conclusions All radiological tools revealed significant correlations with prognosis in the patients with cT1N0-staged NSCLCs. We recommend the use of MD in a clinical context. However, further investigation of this issue is needed.
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Affiliation(s)
- Hiroaki Kuroda
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Takeo Nakada
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yuko Oya
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan.,Department of Thoracic Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yusuke Takahashi
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Hirokazu Matsusita
- Division of Translational Oncoimmunology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Noriaki Sakakura
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
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17
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Impact of tumor disappearance ratio on the prognosis of lung adenocarcinoma ≤2 cm in size: A retrospective cohort study. J Formos Med Assoc 2020; 120:874-882. [PMID: 32891489 DOI: 10.1016/j.jfma.2020.08.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 08/10/2020] [Accepted: 08/17/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND/PURPOSE Lung cancer patients can have advanced-stages at diagnosis, even the tumor size is ≤2 cm. We aimed to study the relationship between image characteristics, clinical, and patholoigcal results. METHODS We retrospectively enrolled patients with lung adenocarcinoma at Taichung Veterans General Hospital and Chang Gung Memorial Hospital from 2007 to 2015, who were diagnosed with treatment naïve primary tumor lesions at sizes less than 2 cm, as measured by computed tomography (CT) scans. The patient was analyzed for lymph node (LN) and distant metastasis evaluation, with clinicopathological characteristics, including tumor-disappearance ratio (TDR) (tumor diameter at the mediastinal/lung window) over chest CT scans, pathological diagnosis, disease-free survival (DFS), and overall survival (OS). RESULTS Totally 280 patients were surveyed initially and showed significantly increase of clinical LN involvement and distant metastasis when TDR ≤75% compared with >75% (21.6% vs 0% for LN involvement; 27.1% vs 0% for distant metastasis; both p < 0.001). We included 199 patients having surgical treatment and follow-up for the survival analysis. With a TDR ≤75%, significantly worse DFS (HR, 19.23; 95% CI, 2.60-142.01; p = 0.004) and a trend of worse OS (HR, 4.97; 95% CI, 0.61-40.61; p = 0.134) were noted by Kaplan-Meier method. TDR ≤75% revealed more advanced pathological stage, and more tumors containing micropapillary or solid subtypes when diagnosed adenocarcinoma. CONCLUSION For lung cancer patients with primary tumor ≤2 cm, TDR ≤75% was related to more advanced stages, the presence of micropapillary or solid components of adenocarcinoma subtypes, worse DFS, and a trend of worse OS.
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18
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Hamanaka K, Eguchi T, Shimizu K. Eighth edition T category is prognostic: the size of the solid component matters, not the ratio. J Thorac Dis 2020; 12:3426-3428. [PMID: 32642270 PMCID: PMC7330786 DOI: 10.21037/jtd.2020.01.50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Kazutoshi Hamanaka
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Nagano, Japan
| | - Takashi Eguchi
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Nagano, Japan
| | - Kimihiro Shimizu
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Nagano, Japan
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19
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Zhang Y, Fu F, Chen H. Management of Ground-Glass Opacities in the Lung Cancer Spectrum. Ann Thorac Surg 2020; 110:1796-1804. [PMID: 32525031 DOI: 10.1016/j.athoracsur.2020.04.094] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/27/2020] [Accepted: 04/20/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Along with the popularity of low-dose computed tomography lung cancer screening, an increasing number of lung ground-glass opacity (GGO) lesions are detected. This review focuses on lung adenocarcinoma manifesting as GGO. METHODS We performed a literature search of the PubMed/MEDLINE database to identify articles reporting GGO. The following terms were used: GGO, ground-glass opacity, GGN, ground-glass nodule, part-solid nodule, and subsolid nodule. RESULTS GGO is a nonspecific radiologic finding showing a hazy opacity without blocking underlying pulmonary vessels or bronchial structures. The pathology of GGO can be benign, preinvasive, or invasive adenocarcinoma. Although radiographic features may indicate malignancy, a short period of follow-up is the optimal method to distinguish between benign and malignant GGO lesions. Pathologically, not only lepidic, but also nonlepidic growth patterns can present as GGO. Lung adenocarcinoma with a GGO component is associated with excellent survival compared with solid lesions. Moreover, there are distinct prognostic factors in patients with lung adenocarcinoma manifesting as GGO or solid lesions. For selected GGO-featured lung adenocarcinoma, sublobar resection with selective or no mediastinal lymph node dissection may be sufficient. Intraoperative frozen section is an effective method to guide resection strategy. A less intensive postoperative surveillance strategy may be more appropriate given the excellent survival. Management of multiple GGO lesions requires comprehensive considerations of GGO characteristics and patient conditions. CONCLUSIONS Lung adenocarcinoma manifesting as GGO defines a special clinical subtype with excellent prognosis. The management of GGO-featured lung adenocarcinoma should be distinct from that of solid lesions.
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Affiliation(s)
- Yang Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fangqiu Fu
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Haiquan Chen
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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20
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Inoue M, Shimomura M. The clinical significance of ground glass opacities in lung adenocarcinoma in the era of UICC-TNM classification ver.8. J Thorac Dis 2020; 11:5680-5681. [PMID: 32030300 DOI: 10.21037/jtd.2019.12.58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Masayoshi Inoue
- Division of Thoracic Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masanori Shimomura
- Division of Thoracic Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
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