Publications by authors named "J Leonhardi"

Background/aim: The recently published Node-Reporting and Data System (Node-RADS) can aid the characterization of lymph nodes in cross-sectional imaging. This study investigated the Node-RADS system in computed tomography (CT) to characterize lymph nodes in esophageal cancer.

Patients And Methods: Overall, 126 patients (15 female, 11.

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Background: Texture analysis derived from computed tomography (CT) may provide clinically relevant imaging biomarkers associated with tumor histopathology. Perihilar cholangiocarcinoma is a malignant disease with an overall poor prognosis.

Aims: The present study sought to elucidate possible associations between texture features derived from CT images with grading, tumor markers, and survival in extrahepatic, perihilar cholangiocarcinomas tumors.

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Iatrogenic pneumothorax is a relevant complication of computed tomography (CT)-guided percutaneous lung biopsy. The aim of the present study was to analyze the prognostic significance of texture analysis, emphysema score and muscle mass derived from CT-imaging to predict postinterventional pneumothorax after CT-guided lung biopsy. Consecutive patients undergoing CT-guided percutaneous lung biopsy between 2012 and 2021 were analyzed.

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Texture analysis can provide new imaging-based biomarkers. Texture analysis derived from computed tomography (CT) might be able to better characterize patients undergoing CT-guided percutaneous bone biopsy. The present study evaluated this and correlated texture features with bioptic outcome in patients undergoing CT-guided bone biopsy.

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Article Synopsis
  • The Node-RADS classification system aims to improve the assessment of lymph nodes in cancer imaging, specifically in patients with colon cancer.
  • The study analyzed imaging from 108 patients who underwent surgery, with lymph node evaluations conducted by two radiologists to assess inter-reader variability and diagnostic accuracy.
  • Findings indicate that while the Node-RADS score can differentiate between negative and positive lymph node stages, its diagnostic accuracy is limited, and there is significant variability between radiologists in their assessments.
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