A nomogram to predict the recurrence-free survival and analyze the utility of chemotherapy in stage IB non-small cell lung cancer

Zhang, Zhenyang; Xie, Shuhan; Cai, Weiping; Hong, Zhi-Nuan; Yang, Chuangcai; Lin, Yukang; Zhu, Jianping; Lin, Zhiwei; Christoph, Daniel C.; Bohnenberger, Hanibal; Kępka, Lucyna; Brueckl, Wolfgang M.; Houtte, Paul Van; Kang, Mingqiang; Lin, Jiangbo

doi:10.21037/tlcr-21-1038

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…Some scholars have identified risk factors influencing postoperative recurrence and have constructed predictive models for recurrence, aiming to inform the selection of ACT for stage IB NSCLC patients (91)(92)(93)(94)(95)(96). However, relatively limited research has been conducted on predictive models for postoperative recurrence in patients with stage IB NSCLC featuring VPI.…”

Section: Stage Ib and Adjuvant Chemotherapymentioning

confidence: 99%

Diagnosis, treatment, and prognosis of stage IB non-small cell lung cancer with visceral pleural invasion

Ruan,

Zhuo,

2024

Front. Oncol.

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With the increasing implementation of early lung cancer screening and the increasing emphasis on physical examinations, the early-stage lung cancer detection rate continues to rise. Visceral pleural invasion (VPI), which denotes the tumor’s breach of the elastic layer or reaching the surface of the visceral pleura, stands as a pivotal factor that impacts the prognosis of patients with non-small cell lung cancer (NSCLC) and directly influences the pathological staging of early-stage cases. According to the latest 9th edition of the TNM staging system for NSCLC, even when the tumor diameter is less than 3 cm, the final T stage remains T2a if VPI is present. There is considerable controversy within the guidelines regarding treatment options for stage IB NSCLC, especially among patients exhibiting VPI. Moreover, the precise determination of VPI is important in guiding treatment selection and prognostic evaluation in individuals with NSCLC. This article aims to provide a comprehensive review of the current status and advancements in studies pertaining to stage IB NSCLC accompanied by VPI.

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Section: Stage Ib and Adjuvant Chemotherapymentioning

confidence: 99%

Diagnosis, treatment, and prognosis of stage IB non-small cell lung cancer with visceral pleural invasion

Ruan,

Zhuo,

2024

Front. Oncol.

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“…However, the international tumor-node-metastasis (TNM) staging system only relies on anatomical and pathological features for disease assessment, without considering many other important relevant factors, such as age, sex, and other demographic characteristics [86,87]. Numerous studies have shown that the clinical stage alone is not sufficient to predict the prognosis of patients with cancer [87][88][89][90]; therefore, further analysis of demographic characteristics is necessary [36].…”

Section: Demographic Characteristicsmentioning

confidence: 99%

Critical Analysis of Risk Factors and Machine-Learning-Based Gastric Cancer Risk Prediction Models: A Systematic Review

Fan

Miao

et al. 2023

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The gastric cancer risk prediction model used for large-scale gastric cancer screening and individual risk stratification is an artificial intelligence tool that combines clinical diagnostic data with a classification algorithm. The ability to automatically make a quantitative assessment of complex clinical data contributes to increased accuracy for diagnosis with higher efficiency, significantly reducing the incidence of advanced gastric cancer. Previous studies have explored the predictive performance of gastric cancer risk prediction models, as well as the predictive factors and algorithms between each model, but have reached controversial conclusions. Thus, the performance of current machine-learning-based gastric cancer risk prediction models alongside the clinical relevance of different predictive factors needs to be evaluated to help build more efficient and feasible models in the future. In this systematic review, we summarize the current research progress related to the gastric cancer risk prediction model; discuss the predictive factors and methods used to construct the model; analyze the role of important predictive factors in gastric cancer, the preference of the selected classification algorithm, and the emphasis of evaluation criteria; and provide suggestions for the subsequent construction and improvement of the gastric cancer risk prediction model. Finally, we propose an improved approach based on the ethical issues of artificial intelligence in medicine to realize the clinical application of the gastric cancer risk prediction model in the future.

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“…Surgery is the primary treatment for early-stage lung cancer, especially stage I non-small cell lung cancer (NSCLC). However, previous studies have reported a recurrence rate of approximately 18–29% within 5 years after surgery for stage I NSCLC ( 4 , 5 ). Therefore, it is necessary to identify risk factors for poor prognosis after surgery.…”

Section: Introductionmentioning

confidence: 96%

Impact of adjuvant chemotherapy on patients with stage IB non-small cell lung cancer with visceral pleural invasion

Kim,

Choi,

Lee

et al. 2024

J Thorac Dis

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Background Adjuvant chemotherapy has reduced the risk of recurrence and death in stage IB non-small cell lung cancer (NSCLC) with high-risk factors; however, the impact of visceral pleural invasion (VPI) on outcomes in stage IB NSCLC treated with adjuvant chemotherapy remains controversial. The aim of this study was to explore the clinical and prognostic significance of adjuvant chemotherapy for stage IB (1–4 cm) NSCLC with VPI. Methods This retrospective study included 251 patients admitted between January 2008 and May 2018 from four hospitals who underwent complete resection for Tumor-Node-Metastasis (TNM) 8th edition stage IB NSCLC with VPI. The relationship between adjuvant chemotherapy and overall survival (OS) or recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and Cox proportional hazards model. Results Of 251 patients with stage IB NSCLC with VPI, 122 (48.6%) received adjuvant chemotherapy after surgical resection and 129 (51.4%) were placed under observation. Multivariable analysis showed that adjuvant chemotherapy was an independent predictor of RFS [adjusted hazard ratio (aHR), 0.57; 95% confidence interval (CI): 0.33–0.96; P=0.036]. A micropapillary pattern (aHR, 2.46; 95% CI: 1.33–4.55; P=0.004) and lymphovascular invasion (aHR, 2.86; 95% CI: 1.49–5.48; P=0.002) were associated with a higher risk of recurrence. Multivariable analysis also showed that adjuvant chemotherapy was an independent predictor of OS (aHR, 0.22; 95% CI: 0.09–0.58; P=0.002). In a subgroup analysis of patients with a tumor size of 1–3 cm, adjuvant chemotherapy was associated with improved RFS and OS, and this association was maintained even when patients with VPI had additional risk factors. Conclusions Our study shows that adjuvant chemotherapy is appropriate for patients with stage IB (1–4 cm) NSCLC with VPI, and even those with smaller tumors (1–3 cm).

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A nomogram to predict the recurrence-free survival and analyze the utility of chemotherapy in stage IB non-small cell lung cancer

Cited by 7 publications

References 37 publications

Diagnosis, treatment, and prognosis of stage IB non-small cell lung cancer with visceral pleural invasion

Diagnosis, treatment, and prognosis of stage IB non-small cell lung cancer with visceral pleural invasion

Critical Analysis of Risk Factors and Machine-Learning-Based Gastric Cancer Risk Prediction Models: A Systematic Review

Impact of adjuvant chemotherapy on patients with stage IB non-small cell lung cancer with visceral pleural invasion

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