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Related Concept Videos

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

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Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
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Related Experiment Video

Updated: Oct 7, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
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Benign and malignant pulmonary part-solid nodules: differentiation via thin-section computed tomography.

Wang-Jia Li1, Fa-Jin Lv1, Yi-Wen Tan2

  • 1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Quantitative Imaging in Medicine and Surgery
|January 7, 2022
PubMed
Summary

Part-solid nodules (PSNs) with well-defined, lobulated borders and irregular, scattered internal solid components are more likely to be malignant. This finding aids in differentiating benign from malignant PSNs using CT features.

Keywords:
Part-solid nodules (PSNs)benignitycomputed tomography (CT)malignancysolid component

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Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
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Area of Science:

  • Radiology
  • Oncology
  • Pulmonology

Background:

  • Pulmonary part-solid nodules (PSNs) present a diagnostic challenge due to the potential for malignancy.
  • Distinguishing benign from malignant PSNs is crucial for appropriate patient management.

Purpose of the Study:

  • To identify and compare thin-section computed tomography (CT) features differentiating benign from malignant pulmonary part-solid nodules.
  • To determine predictors of malignancy in PSNs.

Main Methods:

  • Retrospective analysis of 119 PSNs in 117 patients (March 2016 - January 2020).
  • Comparison of clinical data and CT features between benign and malignant PSNs.
  • Binary logistic regression analysis to identify independent predictors of malignant PSNs.

Main Results:

  • Malignant PSNs (63.0%) were more common than benign PSNs (37.0%).
  • Significant differences observed in nodule border, internal solid component characteristics, and peripheral ground-glass opacity between benign and malignant lesions.
  • Well-defined, lobulated nodules with irregular, scattered internal solid components were significant predictors of malignancy.

Conclusions:

  • Pulmonary part-solid nodules exhibiting well-defined, lobulated borders and irregular, scattered internal solid components are strongly associated with malignancy.
  • CT-based feature analysis can aid in differentiating malignant from benign PSNs.