We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




DCR Identifies Pleural Invasion of Lung Tumors

By MedImaging International staff writers
Posted on 15 Feb 2021
Print article
Image: Examples of DCR images (Photo courtesy of Rie Tanaka/ Kanazawa University)
Image: Examples of DCR images (Photo courtesy of Rie Tanaka/ Kanazawa University)
Dynamic chest radiography (DCR) holds promise for assessment of tumor invasion and adhesion in the parietal pleura, according to a new study.

Researchers at Kanazawa University (Japan), Duke University (Durham NC, USA), and Yokohama City University (Japan) conducted a proof-of-concept study to investigate the feasibility of preoperative evaluation of pleural invasion/adhesion of lung tumors with DCR, using a four‐dimensional (4D) extended cardiac‐torso (XCAT) computational phantom with simulated respiratory and cardiac motions; to simulate lung tumors, a 30‐mm diameter sphere was inserted into each lobe of the phantom.

The virtual patient during respiration was virtually projected using an X‐ray simulator in posteroanterior (PA) and oblique directions, and sequential bone suppression (BS) images were created. Measurement points (tumor, rib, and diaphragm) were automatically tracked on the simulated images by a template matching technique. The researchers then calculated five quantitative metrics related to the movement distance and directions of the targeted tumor, and evaluated whether DCR could distinguish between tumors with and without pleural invasion/adhesion.

The results showed precise tracking of the targeted tumor, without undue influence of rib shadows. There was a significant difference in all five quantitative metrics between the lung tumors with and without pleural invasion. Metrics related to movement distance were effective for tumors in the middle and lower lobes, while those related to movement directions were effective for tumors close to the frontal chest wall on the oblique projection view. The oblique views were useful for the evaluation of the space between the chest wall and a moving tumor. The study was published on February 3, 2021, in Medical Physics.

“Imaging modalities like cine MRI or breathing chest CT can be used to assess tumor invasion and adhesion, but both are more costly than x-ray; MRI often isn't available, while CT carries a higher radiation burden than radiography,” said lead author Rie Tanaka, PhD, of Kanazawa University. “With DCR, a series of sequential chest radiographs are obtained of a standing patient through a 10-second respiratory cycle. Except for the breathing pattern, images are acquired in the same manner as a conventional radiograph.”

Preoperative assessment of tumor invasion and adhesion is imperative when planning surgical excision of lung tumors. If the tumor moves independent of parietal or mediastinal pleura, it means that it is not invasive or strongly adheres to lung tissue, and therefore may be easier to remove surgically.

Related Links:
Kanazawa University
Duke University
Yokohama City University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ultrasound Table
Powered Ultrasound Table-Flat Top
Thyroid Shield
Standard Thyroid Shield
New
Ultrasound System
Voluson Signature 18

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.