Approximately 33% of patients with renal cell carcinoma will present with metastases. Patients have a reported 35% 5-year survival rate in instances in which nephrectomy and surgical resection of a solitary metastasis have been performed. Laparoscopic partial nephrectomy has become an increasingly viable option in the treatment of some renal cancers. We report a case in which a patient had a solitary lung nodule in the workup for a renal mass. This patient underwent combined thoracoscopic and laparoscopic resection of both the lung nodule and the renal mass in the same setting.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.urology.2004.04.031DOI Listing

Publication Analysis

Top Keywords

lung nodule
12
renal mass
12
resection solitary
8
solitary lung
8
laparoscopic partial
8
partial nephrectomy
8
renal
5
simultaneous thoracoscopic
4
thoracoscopic wedge
4
wedge resection
4

Similar Publications

Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diagnostic technologies have significantly enhanced the ability to identify lung cancer in earlier stages, there are still limitations. The alarming rate of false positives has resulted in unnecessary utilization of medical resources and increased risk of adverse events from invasive procedures.

View Article and Find Full Text PDF

The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom approach. A total of 450 nodules with varying density (d1 to d3) and size (3, 5, 8, 10 and 12 mm) were inserted in a Lungman phantom at various locations. Radiographic images with varying projections were acquired and processed using the AI algorithm for nodule detection.

View Article and Find Full Text PDF

CT Predictors of Angiolymphatic Invasion in Non-Small Cell Lung Cancer 30 mm or Smaller.

Radiology

January 2025

From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).

Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.

View Article and Find Full Text PDF

Introduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.

View Article and Find Full Text PDF

Objective: Electrical Impedance Tomography (EIT) is a non-invasive technique used for lung imaging. A significant challenge in EIT is reconstructing images of deeper thoracic regions due to the low sensitivity of boundary voltages to internal conductivity variations. The current injection pattern is decisive as it influences the current path, boundary voltages, and their sensitivity to tissue changes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!