» Articles » PMID: 11376246

Peripheral Pulmonary Arteries: How Far in the Lung Does Multi-detector Row Spiral CT Allow Analysis?

Overview
Journal Radiology
Specialty Radiology
Date 2001 May 29
PMID 11376246
Citations 51
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To analyze the influence of multi-detector row spiral computed tomography (CT) on identification of peripheral pulmonary arteries.

Materials And Methods: Peripheral pulmonary arteries were analyzed on optimally opacified contrast material-enhanced spiral CT angiograms in 30 patients devoid of pleuroparenchymal disease who underwent scanning with multi-detector row CT (collimation, 4 x 1 mm; pitch, 1.7-2.0; scanning time, 0.5 second). Two series of scans were systematically generated from each data set, 1.25-mm-thick (group 1) and 3-mm-thick (group 2) sections, leading to the analysis of 600 segmental (20 arteries per patient), 1,200 subsegmental (40 arteries per patient), 2,400 fifth-order (80 arteries per patient), and 4,800 sixth-order (160 arteries per patient) pulmonary arteries in each group.

Results: Multi-detector row CT with reconstructed scans of 1.25-mm-thick sections (group 1) allowed (a) analysis of a significantly higher percentage of subsegmental arteries (94% in group 1 vs 82% in group 2; P <.001) and (b) a significantly higher percentage of fifth- and sixth-order arteries, respectively, identified in 74% and 35% of cases in group 1 and 47% and 16% in group 2 (P <.001). The causes for inadequate depiction of subsegmental branches in group 1 were partial volume effect (43%), anatomic variants (39%), and cardiac (17%) and respiratory (1%) motion artifacts.

Conclusion: Multi-detector row CT with reconstructed scans of 1.25-mm-thick sections enables accurate analysis of peripheral pulmonary arteries down to the fifth order on spiral CT angiograms.

Citing Articles

Right ventricular outflow tract doppler flow abnormalities suggestive of pulmonary embolism - case series and review.

Ivicic T, Hamzic J, Radulovic B, Gornik I Ultrasound J. 2024; 16(1):51.

PMID: 39695024 PMC: 11655731. DOI: 10.1186/s13089-024-00377-2.


Diagnosis of Pulmonary Embolism: A Review of Evidence-Based Approaches.

Thomas S, Weinberg I, Schainfeld R, Rosenfield K, Parmar G J Clin Med. 2024; 13(13).

PMID: 38999289 PMC: 11242034. DOI: 10.3390/jcm13133722.


Perioperative Management of Incidental Pulmonary Embolisms on Trauma CT Scans: A Narrative Review.

Rama E, Adeosun J, Thahir A, Krkovic M Cureus. 2023; 15(1):e34469.

PMID: 36874718 PMC: 9981238. DOI: 10.7759/cureus.34469.


Evaluating the Performance of Unenhanced Computed Tomography in the Diagnosis of Pulmonary Embolism.

Ehsanbakhsh A, Hatami F, Valizadeh N, Khorashadizadeh N, Norouzirad F J Tehran Heart Cent. 2022; 16(4):156-161.

PMID: 35935550 PMC: 9308882. DOI: 10.18502/jthc.v16i4.8601.


Quantitative volumetric computed tomography embolic analysis, the Qanadli score, biomarkers, and clinical prognosis in patients with acute pulmonary embolism.

Huang W, Wu W, Yang S, Sung K, Hung T, Hung C Sci Rep. 2022; 12(1):7620.

PMID: 35538102 PMC: 9090848. DOI: 10.1038/s41598-022-11812-6.