2015
DOI: 10.2217/fon.14.258
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Current Role of Computed Tomography-Guided Transthoracic Needle Biopsy of Metastatic Lung Lesions

Abstract: Aim: As part of the Catania symposium on lung metastasectomy we reviewed our practice of computed tomography (CT)-guided percutaneous transthoracic needle biopsy of pulmonary metastatic lesions with particular emphasis on diagnostic accuracy and nature of complications lesions. materials & methods: 25 patients with metastatic lesions of the lung have been evaluated between May 2010 and February 2014. Inclusion criteria consisted of patients with histologically confirmed, metastatic disease of the lung, those r… Show more

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Cited by 10 publications
(5 citation statements)
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“…However, PTNB has relatively more incidence rates of complications, such as bleeding, pneumothorax, or some other complications consistent with other studies [29][30][31]. However, these complications were not fatal, and PTNB is a relatively safer examination method.…”
Section: Discussionsupporting
confidence: 83%
“…However, PTNB has relatively more incidence rates of complications, such as bleeding, pneumothorax, or some other complications consistent with other studies [29][30][31]. However, these complications were not fatal, and PTNB is a relatively safer examination method.…”
Section: Discussionsupporting
confidence: 83%
“…Lung metastases were associated with both overall and higher-grade pulmonary hemorrhage, as metastatic lesions are probably generally small, or some metastases have a rich blood supply. Although PCTLB is a useful technique for diagnosing suspected pulmonary metastases as it allows open biopsy to be avoided in most cases (40), more attention must be paid to bleeding risk.…”
Section: Discussionmentioning
confidence: 99%
“…Although Positron Emission Tomography–Computed Tomography (PET-CT) is commonly used to diagnose lung metastases, its high cost and potential risk of radiological damage may make it unsuitable for early screening ( 37 ). The biopsy is the gold standard for diagnosing lung metastases, but the procedure’s complexity and the risk of tumor cell dissemination make it unsuitable for routine diagnosis ( 38 ). Given these limitations, this study utilized machine learning techniques based on clinicopathological indicators to develop predictive models to identify high-risk patients.…”
Section: Discussionmentioning
confidence: 99%