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Updated: Apr 27, 2026

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Published on: July 21, 2018

Lung cancer imaging.

Shekhar S Patil¹, Myrna C B Godoy¹, James I L Sorensen¹

¹Department of Diagnostic Radiology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1478, Houston, Texas 77030.

Seminars in Diagnostic Pathology

|July 7, 2014

Summary

This summary is machine-generated.

Lung cancer imaging is crucial for diagnosis and staging. This review updates radiological practices for evaluating lung cancer using various imaging techniques and common presentations.

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Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

Published on: May 20, 2016

Area of Science:

Radiology
Oncology
Medical Imaging

Background:

Lung cancer is the leading cause of cancer mortality in the US.
Imaging is essential for lung cancer diagnosis, staging, and follow-up.
Technological advancements necessitate updated radiological practices.

Purpose of the Study:

To review clinical applications of various imaging modalities in lung cancer.
To outline common radiological presentations of lung cancer.
To standardize radiological practices for lung cancer evaluation.

Main Methods:

Literature review of current imaging techniques.
Analysis of radiological presentations in lung cancer patients.
Synthesis of evidence-based guidelines for practice standardization.

Main Results:

Detailed overview of imaging modalities (e.g., CT, PET) for lung cancer.
Description of characteristic imaging findings for different lung cancer types.
Emphasis on the role of imaging in treatment response assessment.

Conclusions:

Standardized radiological practices are vital for optimal lung cancer management.
Accurate interpretation of imaging findings improves patient outcomes.
Continuous updates in imaging technology enhance diagnostic capabilities.