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Title: Efficacy of Automated Supplying Artery Tracking Software Using Multidetector-Row Computed Tomography Images for Emergent Transcatheter Arterial Embolization

Abstract

PurposeTo assess the reliability of a prototype automated supplying artery tracking software (ASATS) using multidetector-row CT (MDCT) images in emergent TAE.Materials and MethodsConsecutive 53 patients underwent 57 sessions of emergent TAE during 7 months. Twenty-one cases were excluded due to a lack of CT data (n = 12) or negative angiographic findings (n = 9). Remaining 34 sessions of TAE and MDCT images in 32 patients (mean age 62.9 years; age range 37–92 years) were enrolled. ASATS was retrospectively conducted for the identification of supplying arteries which were confirmed with angiography (automated method). Manual modification was added as needed (semi-automated method). Two observers independently reviewed the MDCT images to detect supplying arteries (manual method). Detectability of supplying artery and time to analysis were compared among the automated, semi-automated, and manual methods by both observers.ResultsA total of 64 bleeding sites were demonstrated on angiography. The detectability was 28 (43.8%) for automated method, 53 (82.8%) for semi-automated method, 55 (85.9%) for observer 1, and 58 (90.6%) for observer 2. Detectability of semi-automated method was significantly better than of automated method (P = 0.000) and comparable with manual method by both observers (P = 0.193 and 0.081). Average time to analysis was 185.4 s for automated method, 297.2 s for semi-automated method, 186.2 s for observer 1,more » and 243.7 s for observer 2.ConclusionASATS has a sufficient ability to identify supplying arteries of bleeding by adding manual modification as needed and can be used for emergent TAE. Level of Evidence: Level 4, Case Control Study.« less

Authors:
 [1]; ; ; ; ;  [2]; ; ;  [1]; ;  [2]
  1. Gifu University School of Medicine, Department of Radiology (Japan)
  2. Teikyo University School of Medicine, Department of Radiology (Japan)
Publication Date:
OSTI Identifier:
22749738
Resource Type:
Journal Article
Journal Name:
Cardiovascular and Interventional Radiology
Additional Journal Information:
Journal Volume: 41; Journal Issue: 11; Other Information: Copyright (c) 2018 Springer Science+Business Media, LLC, part of Springer Nature and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE); http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0174-1551
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; ARTERIES; BIOMEDICAL RADIOGRAPHY; COMPUTER CODES; COMPUTERIZED TOMOGRAPHY; IMAGE PROCESSING; MANUALS; VASCULAR DISEASES

Citation Formats

Tanahashi, Yukichi, Kondo, Hiroshi, Yamamoto, Masayoshi, Osawa, Marie, Yokoyama, Taro, Sugawara, Toshimasa, Kawada, Hiroshi, Goshima, Satoshi, Matsuo, Masayuki, Furui, Shigeru, and Oba, Hiroshi. Efficacy of Automated Supplying Artery Tracking Software Using Multidetector-Row Computed Tomography Images for Emergent Transcatheter Arterial Embolization. United States: N. p., 2018. Web. doi:10.1007/S00270-018-2027-8.
Tanahashi, Yukichi, Kondo, Hiroshi, Yamamoto, Masayoshi, Osawa, Marie, Yokoyama, Taro, Sugawara, Toshimasa, Kawada, Hiroshi, Goshima, Satoshi, Matsuo, Masayuki, Furui, Shigeru, & Oba, Hiroshi. Efficacy of Automated Supplying Artery Tracking Software Using Multidetector-Row Computed Tomography Images for Emergent Transcatheter Arterial Embolization. United States. doi:10.1007/S00270-018-2027-8.
Tanahashi, Yukichi, Kondo, Hiroshi, Yamamoto, Masayoshi, Osawa, Marie, Yokoyama, Taro, Sugawara, Toshimasa, Kawada, Hiroshi, Goshima, Satoshi, Matsuo, Masayuki, Furui, Shigeru, and Oba, Hiroshi. Thu . "Efficacy of Automated Supplying Artery Tracking Software Using Multidetector-Row Computed Tomography Images for Emergent Transcatheter Arterial Embolization". United States. doi:10.1007/S00270-018-2027-8.
@article{osti_22749738,
title = {Efficacy of Automated Supplying Artery Tracking Software Using Multidetector-Row Computed Tomography Images for Emergent Transcatheter Arterial Embolization},
author = {Tanahashi, Yukichi and Kondo, Hiroshi and Yamamoto, Masayoshi and Osawa, Marie and Yokoyama, Taro and Sugawara, Toshimasa and Kawada, Hiroshi and Goshima, Satoshi and Matsuo, Masayuki and Furui, Shigeru and Oba, Hiroshi},
abstractNote = {PurposeTo assess the reliability of a prototype automated supplying artery tracking software (ASATS) using multidetector-row CT (MDCT) images in emergent TAE.Materials and MethodsConsecutive 53 patients underwent 57 sessions of emergent TAE during 7 months. Twenty-one cases were excluded due to a lack of CT data (n = 12) or negative angiographic findings (n = 9). Remaining 34 sessions of TAE and MDCT images in 32 patients (mean age 62.9 years; age range 37–92 years) were enrolled. ASATS was retrospectively conducted for the identification of supplying arteries which were confirmed with angiography (automated method). Manual modification was added as needed (semi-automated method). Two observers independently reviewed the MDCT images to detect supplying arteries (manual method). Detectability of supplying artery and time to analysis were compared among the automated, semi-automated, and manual methods by both observers.ResultsA total of 64 bleeding sites were demonstrated on angiography. The detectability was 28 (43.8%) for automated method, 53 (82.8%) for semi-automated method, 55 (85.9%) for observer 1, and 58 (90.6%) for observer 2. Detectability of semi-automated method was significantly better than of automated method (P = 0.000) and comparable with manual method by both observers (P = 0.193 and 0.081). Average time to analysis was 185.4 s for automated method, 297.2 s for semi-automated method, 186.2 s for observer 1, and 243.7 s for observer 2.ConclusionASATS has a sufficient ability to identify supplying arteries of bleeding by adding manual modification as needed and can be used for emergent TAE. Level of Evidence: Level 4, Case Control Study.},
doi = {10.1007/S00270-018-2027-8},
journal = {Cardiovascular and Interventional Radiology},
issn = {0174-1551},
number = 11,
volume = 41,
place = {United States},
year = {2018},
month = {11}
}