Literature DB >> 25601303

Evaluation of accuracy and precision of manual size measurements in chest tomosynthesis using simulated pulmonary nodules.

Christina Söderman1, Åse A Johnsson2, Jenny Vikgren2, Rauni R Norrlund2, David Molnar3, Angelica Svalkvist4, Lars G Månsson5, Magnus Båth5.   

Abstract

RATIONALE AND
OBJECTIVES: To investigate the accuracy and precision of pulmonary nodule size measurements on chest tomosynthesis images.
MATERIALS AND METHODS: Artificial ellipsoid-shaped nodules with known sizes were inserted in clinical chest tomosynthesis images. The volume of the nodules corresponded to that of a sphere with a diameter of 4.0, 8.0, or 12.0 mm. Four thoracic radiologists were given the task to determine the longest diameter of the nodules. All nodules were measured twice. Measurement accuracy in terms of the mean measurement error was determined. Intraobserver and interobserver variabilities, as well as variability because of differences between nodules and their locations, were used as measures of precision.
RESULTS: The mean measurement error ranged from -0.3 to 0.1 mm for the nodule size groups and observers. Of the smallest nodules, the observers found 7-17 of total 50 nodules nonmeasurable. The intraobserver and interobserver variabilities were of similar magnitude, indicating relatively small differences between the observers. The internodule variability was in general larger, indicating that the different characteristics of the nodules and their location are sources of variability.
CONCLUSIONS: The results suggest a high accuracy and precision for manual measurements of the nodules in chest tomosynthesis images. However, small nodules (<5.0 mm) may be difficult to measure at all because of poor visibility.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Keywords:  Thoracic radiography; dimensional measurement accuracy; observer variation; solitary pulmonary nodule; tomosynthesis

Mesh:

Year:  2015        PMID: 25601303     DOI: 10.1016/j.acra.2014.11.012

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  Magnetic Resonance Imaging Evaluation of Hepatocellular Carcinoma Treated With Stereotactic Body Radiation Therapy: Long Term Imaging Follow-Up.

Authors:  Mishal Mendiratta-Lala; William Masch; Prasad R Shankar; Holly E Hartman; Matthew S Davenport; Matthew J Schipper; Chris Maurino; Kyle C Cuneo; Theodore S Lawrence; Dawn Owen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-09-10       Impact factor: 7.038

2.  Evaluation of a new system for chest tomosynthesis: aspects of image quality of different protocols determined using an anthropomorphic phantom.

Authors:  M Jadidi; A Sundin; P Aspelin; M Båth; S Nyrén
Journal:  Br J Radiol       Date:  2015-06-29       Impact factor: 3.039

3.  Dependency of image quality on acquisition protocol and image processing in chest tomosynthesis-a visual grading study based on clinical data.

Authors:  Masoud Jadidi; Magnus Båth; Sven Nyrén
Journal:  Br J Radiol       Date:  2018-04-09       Impact factor: 3.039

4.  EFFECT OF RADIATION DOSE LEVEL ON ACCURACY AND PRECISION OF MANUAL SIZE MEASUREMENTS IN CHEST TOMOSYNTHESIS EVALUATED USING SIMULATED PULMONARY NODULES.

Authors:  Christina Söderman; Åse Allansdotter Johnsson; Jenny Vikgren; Rauni Rossi Norrlund; David Molnar; Angelica Svalkvist; Lars Gunnar Månsson; Magnus Båth
Journal:  Radiat Prot Dosimetry       Date:  2016-03-17       Impact factor: 0.972

5.  Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features.

Authors:  Elmer Jeto Gomes Ataide; Nikhila Ponugoti; Alfredo Illanes; Simone Schenke; Michael Kreissl; Michael Friebe
Journal:  Sensors (Basel)       Date:  2020-10-27       Impact factor: 3.576

  5 in total

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