Three cases of rigid bronchoscopic removal of carinal masses: Case report

Lee, Jae-Kyeong; Kho, Bo‐Gun; Kim, Tae-Ok; Shin, Hyeonsook; Kim, Yu-Il; Lim, Sung-Ryoun; Choi, Yoo-Duk; Kwon, Yong Soo

doi:10.1016/j.rmcr.2022.101759

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…[3,4] It is worth mentioning that with the development of tracheoscopy techniques in recent years, patients have more surgical options, such as open resection surgery and endoscopic surgery, which reduces complications, operative time, and post-operative recovery period. Airway surgery with tracheoscopy can effectively remove tumors as a more available therapeutic method that can greatly improve the chances of patients receiving surgical treatment [5,6] Although the preferred treatment for tracheal tumors is surgical management whenever possible, the degree of difficulty of the surgical technique can affect the decision to perform the surgery. Epidemiological studies conducted over the past 20 years have suggested that the number of patients undergoing resection is lower.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prognostic factors and constructing a nomogram in tracheal cancer patients treated with surgical intervention: A study based on SEER database

Shi,

Ning,

Liu

et al. 2024

Medicine

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Although surgery is considered the first choice of treatment for patients diagnosed with tracheal cancer, the prediction of overall survival (OS) in patients undergoing surgical intervention is poor. To address this issue, we developed a nomogram that combined a risk classification system to estimate the OS of patients with tracheal cancer who underwent surgical intervention. A total of 525 qualified patients were selected from the surveillance, epidemiology, and end results database between 1975 and 2018 and were randomly divided into training and validation cohorts (7:3). The parameters of independent prognostic ability were determined using Cox regression analysis, and a nomogram was formed. The predictive ability of the nomogram was tested using the area under the curve of receiver operating characteristic curves and calibration curves. Survival curves were assessed between the different risk classification groups using the Kaplan–Meier method. The results indicated that Age, stage, histology, and tumor size were independent prognostic factors and were included in the predictive model. The calibration plots demonstrated good agreement between the nomogram prediction and actual observation for 24- and 36-month OS. The receiver operating characteristic curves suggested that the predictive model had good discrimination ability, with the area under the curves (training group 0.817, 0.785, and 0.801, respectively) and validation group (0.744, 0.794, and 0.822, respectively). Furthermore, the low-risk group had a better prognosis than the high-risk group in the total, training, and validation cohorts (all P < .001). This study established a novel nomogram system to predict OS and identify independent prognostic factors in patients with tracheal cancer who underwent surgical intervention. This model has the potential to assist doctors in making decisions regarding treatment options.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prognostic factors and constructing a nomogram in tracheal cancer patients treated with surgical intervention: A study based on SEER database

Shi,

Ning,

Liu

et al. 2024

Medicine

View full text Add to dashboard Cite

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A novel nomogram and risk classification system for estimating survival in tracheal cancer patients treated with surgical intervention

Shi

Ning

Liu

et al. 2023

Preprint

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Purpose Although surgery has been considered as the first choice treatment for patients diagnosed with tracheal cancer, the prediction of overall survival (OS) for those who undergo surgical intervention is poor. To address this issue, we developed a nomogram that combines a risk classification system to estimate OS of tracheal cancer patients who have undergone surgical intervention. Methods The 525 qualified patients were identified from the SEER database between 1975 and 2018 and randomly divided into training cohort(TC) and validation cohort(VC). The parameters were detemined by Cox regression analyses for predicting OS and to form nomogram and risk classification. The nomogram predictive ability was tested by calibration curves and ROC curves. Kaplan-Meier curves were drawn and compared using the log-rank test for different risk classification groups. Results The results indicated that age, stage, histology, and tumor size were independent prognostic factors (PFs) and were included in the predictive model. The calibration plots demonstrated that the 24- and 36-month OS rates generated by the nomograms were in good agreement with the actual observed value of the 24- and 36-month OS rates. The ROC curves suggested that the predictive model had good discrimination ability. Furthermore, in the total cohort, TC and VC, the low-risk group had a better prognosis than the high-risk group. Conclusions A novel nomogram system to predict OS and identify independent PFs for tracheal cancer patients who have undergone surgical intervention was established in this study. This model performance has the potential to assist doctors in making decisions about treatment options.

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Three cases of rigid bronchoscopic removal of carinal masses: Case report

Cited by 2 publications

References 9 publications

Prognostic factors and constructing a nomogram in tracheal cancer patients treated with surgical intervention: A study based on SEER database

Prognostic factors and constructing a nomogram in tracheal cancer patients treated with surgical intervention: A study based on SEER database

A novel nomogram and risk classification system for estimating survival in tracheal cancer patients treated with surgical intervention

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