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Kim HK, Jeon YJ, Um SW, Shin SH, Jeong BH, Lee K, Kim H, Lee HY, Kim TJ, Lee KS, Choi YL, Han J, Ahn YC, Pyo H, Noh JM, Choi JY, Cho JH, Choi YS, Zo JI, Shim YM, Hwang SS, Kim J. Role of invasive mediastinal nodal staging in survival outcomes of patients with non-small cell lung cancer and without radiologic lymph node metastasis: a retrospective cohort study. EClinicalMedicine 2024; 69:102478. [PMID: 38361994 PMCID: PMC10867420 DOI: 10.1016/j.eclinm.2024.102478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 01/19/2024] [Accepted: 01/25/2024] [Indexed: 02/17/2024] Open
Abstract
Background Lung cancer diagnostic guidelines advocate for invasive mediastinal nodal staging (IMNS), but the survival benefits of this approach in patients with non-small cell lung cancer (NSCLC) without radiologic evidence of lymph node metastasis (rN0) remain uncertain. We aimed to investigate the impact of IMNS in patients with rN0 NSCLC by comparing the long-term survival between patients who underwent IMNS and those who did not (non-IMNS). Methods In this retrospective cohort study, we included patients with NSCLC but without radiologic evidence of lymph node metastasis from the Registry for Thoracic Cancer Surgery and the clinical data warehouse at the Samsung Medical Centre, Republic of Korea between January 2, 2008 and December 31, 2016. We compared the 5-year overall survival (OS) rate as the primary outcome after propensity score matching between the IMNS and non-IMNS groups. The age, sex, performance statue, tumor size, centrality, solidity, lung function, FDG uptake in PET-CT, and histological examination of the tumor before surgery were matched. Findings A total of 4545 patients (887 in the IMNS group and 3658 in the non-IMNS group) who received curative treatment for NSCLC were included in this study. By the mediastinal node dissection, the overall incidence of unforeseen mediastinal node metastasis (N2) was 7.2% (317/4378 patients). Despite the IMNS, 67% of pathological N2 was missed (61/91 patients with unforeseen N2). Based on propensity score matching, 866 patients each for the IMNS and non-IMNS groups were assigned. There was no significant difference in 5-year OS and recurrence-free survival (RFS) between two groups: 5-year OS was 73.9% (95% confidence interval, CI: 71%-77%) for IMNS and 71.7% (95% CI: 68.6%-74.9%; p = 0.23), for non-IMNS (hazard ratio, HR 0.90, 95% CI: 0.77-1.07), while 5-year RFS was 64.7% (95% CI: 61.5%-68.2%) and 67.5% (95% CI: 64.3%-70.9%; p = 0.35 (HR 1.08, 95% CI: 0.92-1.27), respectively. Moreover, the timing and locations of recurrence were similar in both groups. Interpretation IMNS might not be required before surgery for patients with NSCLC without LN suspicious of metastasis. Further randomised trials are required to validate the findings of the present study. Funding None.
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Affiliation(s)
- Hong Kwan Kim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yeong Jeong Jeon
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sang-Won Um
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sun Hye Shin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Byeong-Ho Jeong
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyungjong Lee
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hojoong Kim
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Ho Yun Lee
- Department of Radiology and Centre for Imaging, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Tae Jung Kim
- Department of Radiology and Centre for Imaging, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyung Soo Lee
- Department of Radiology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
| | - Yoon-La Choi
- Department of Pathology and Translational Genomics, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Joungho Han
- Department of Pathology and Translational Genomics, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yong Chan Ahn
- Department of Radiation Oncology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hongryull Pyo
- Department of Radiation Oncology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jae Myoung Noh
- Department of Radiation Oncology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Joon Young Choi
- Department of Nuclear Medicine, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jong Ho Cho
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yong Soo Choi
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jae Ill Zo
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Young Mog Shim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seung-sik Hwang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Jhingook Kim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Xiao L, Yu S, Xu W, Sun Y, Xin J. 99mTc-3PRGD 2 SPECT/CT Imaging for Diagnosing Lymph Node Metastasis of Primary Malignant Lung Tumors. Korean J Radiol 2023; 24:1142-1150. [PMID: 37899523 PMCID: PMC10613846 DOI: 10.3348/kjr.2023.0411] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/19/2023] [Accepted: 08/22/2023] [Indexed: 10/31/2023] Open
Abstract
OBJECTIVE To evaluate 99mtechnetium-three polyethylene glycol spacers-arginine-glycine-aspartic acid (99mTc-3PRGD2) single-photon emission computed tomography (SPECT)/computed tomography (CT) imaging for diagnosing lymph node metastasis of primary malignant lung neoplasms. MATERIALS AND METHODS We prospectively enrolled 26 patients with primary malignant lung tumors who underwent 99mTc-3PRGD2 SPECT/CT and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT imaging. Both imaging methods were analyzed in qualitative (visual dichotomous and 5-point grades for lymph nodes and lung tumors, respectively) and semi-quantitative (maximum tissue-to-background radioactive count) manners for the lymph nodes and lung tumors. The performance of the differentiation of lymph nodes with and without metastasis was determined at the per-lymph node station and per-patient levels using histopathological results as the reference standard. RESULTS Total 42 stations had metastatic lymph nodes and 136 stations had benign lymph nodes. The differences between metastatic and benign lymph nodes in the visual qualitative and semiquantitative analyses of 99mTc-3PRGD2 SPECT/CT and 18F-FDG PET/CT were statistically significant (all P < 0.001). The area under the receiver operating characteristic curve (AUC) in the semi-quantitative analysis of 99mTc-3PRGD2 SPECT/CT was 0.908 (95% confidence interval [CI], 0.851-0.966), and the sensitivity, specificity, positive predictive value, and negative predictive value were 0.86 (36/42), 0.88 (120/136), 0.69 (36/52), and 0.95 (120/126), respectively. Among the 26 patients (including two patients each with two lung tumors), 15 had pathologically confirmed lymph node metastasis. The difference between primary lung lesions in patients with and without lymph node metastasis was statistically significant only in the semi-quantitative analysis of 99mTc-3PRGD2 SPECT/CT (P = 0.007), with an AUC of 0.807 (95% CI, 0.641-0.974). CONCLUSION 99mTc-3PRGD2 SPECT/CT imaging may notably perform in the direct diagnosis of lymph node metastasis of primary malignant lung tumors and indirectly predict the presence of lymph node metastasis through uptake in the primary lesions.
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Affiliation(s)
- Liming Xiao
- Department of Nuclear Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Shupeng Yu
- Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Weina Xu
- Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yishan Sun
- Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jun Xin
- Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
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Huang T, Sun H, Luo X, Zhang X, Jin K, Wang F, Sun L, Cheng N, Wu S, Lou Q, Li B. Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer. BMC Cancer 2020; 20:547. [PMID: 32532248 PMCID: PMC7291763 DOI: 10.1186/s12885-020-07032-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/03/2020] [Indexed: 01/06/2023] Open
Abstract
Background To explore the correlation of flash dual source computed tomography perfusion imaging (CTPI) and regional lymph node metastasis of non-small cell lung cancer (NSCLC), and to evaluate the value of CT perfusion parameters in predicting regional lymph node metastasis of NSCLC. Methods 120 consecutive patients with NSCLC confirmed by postoperative histopathology were underwent flash dual source CT perfusion imaging in pre-operation. The CT perfusion parameters of NSCLC, such as blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability (PMB) were obtained by the image post-processing. Then microvessel density (MVD), luminal vascular number (LVN), luminal vascular area (LVA) and luminal vascular perimeter (LVP) of NSCLC were counted by immunohistochemistry. These cases were divided into group A (patients with lymph node metastasis, 58 cases) and group B (patients without lymph node metastasis, 62 cases) according to their pathological results. The CT perfusion parameters and the microvessel parameters were contrastively analysed between the two groups. Receiver operating characteristic (ROC) curve was used to assess the diagnostic efficiency of CT perfusion parameters in predicting regional lymph node metastasis of NSCLC in pre-operation. Results Group A presented significantly lower LVA, BF and higher MTT, PMB than Group B (P < 0.05), while BV, LVN, LVP and MVD were no significant difference (P > 0.05). Correlation analysis showed that BF was correlated with LVA and LVP (P < 0.05), while BV, MTT and PMB were not correlated with LVN, LVA and LVP (P > 0.05). All the perfusion parameters were not correlated with MVD. According to the ROC curve analysis, when BF < 85.16 ml/100 ml/min as a cutoff point to predict regional lymph node metastasis of NSCLC, the sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 60.8, 81.7, 71.5, 75.6 and 69.5% respectively. Conclusion Flash dual source CT perfusion imaging can non-invasively indicate the luminal vascular structure of tumor and BF can be used as one of the important indexes in predicting regional lymph node metastasis of NSCLC in pre-operation.
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Affiliation(s)
- Tingting Huang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.,Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang Province, China
| | - Hui Sun
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.,Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - Xianli Luo
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Xuemei Zhang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.,Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China
| | - Kaiyuan Jin
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Feng Wang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Lv Sun
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Nianlan Cheng
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Shuo Wu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Qin Lou
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Bangguo Li
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.
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