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CT virtual endoscopy of the stomach : comparison study with gastric fiberscopy
We evaluated the value of computed tomographic (CT) gastric virtual endoscopy (VE) by comparing it with real gastric fiberscopy (GF). Sixty-six VE findings in 63 patients were compared with lesions found with GF. After a GF examination, the examinees were given bubble-making granules for the stomach...
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| Published in: | Abdominal imaging 2005-07, Vol.30 (4), p.473-479 |
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| container_end_page | 479 |
| container_issue | 4 |
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| container_title | Abdominal imaging |
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| creator | INAMOTO, K KOUZAI, K UEEDA, T MARUKAWA, T |
| description | We evaluated the value of computed tomographic (CT) gastric virtual endoscopy (VE) by comparing it with real gastric fiberscopy (GF).
Sixty-six VE findings in 63 patients were compared with lesions found with GF. After a GF examination, the examinees were given bubble-making granules for the stomach and placed in a supine position on the CT table. Abdominal CT slices of 1 mm thickness were obtained by multidetector row CT (Siemens Sensation 16) and reconstructed to VE images with volume and surface rendering on the same day.
VE images were successful in showing subtle alterations in the gastric mucosal folds. Gastric cancer, polyps, ulcers, erosions, and gastritis were clearly visualized. Comparison studies between VE and GF (as the gold standard) showed a sensitivity of 92.7% and a specificity of 90.9%. Original CT images were also useful in detecting lesions in other abdominal organs such as the liver, adrenal gland, and kidney.
Because VE is a good noninvasive screening method, except for minimal radiation exposure, it is expected to become a new technique for stomach examinations. |
| doi_str_mv | 10.1007/s00261-004-0278-0 |
| format | article |
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Sixty-six VE findings in 63 patients were compared with lesions found with GF. After a GF examination, the examinees were given bubble-making granules for the stomach and placed in a supine position on the CT table. Abdominal CT slices of 1 mm thickness were obtained by multidetector row CT (Siemens Sensation 16) and reconstructed to VE images with volume and surface rendering on the same day.
VE images were successful in showing subtle alterations in the gastric mucosal folds. Gastric cancer, polyps, ulcers, erosions, and gastritis were clearly visualized. Comparison studies between VE and GF (as the gold standard) showed a sensitivity of 92.7% and a specificity of 90.9%. Original CT images were also useful in detecting lesions in other abdominal organs such as the liver, adrenal gland, and kidney.
Because VE is a good noninvasive screening method, except for minimal radiation exposure, it is expected to become a new technique for stomach examinations.</description><identifier>ISSN: 0942-8925</identifier><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 1432-0509</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-004-0278-0</identifier><identifier>PMID: 15688107</identifier><language>eng</language><publisher>New York, NY: Springer</publisher><subject>Adrenal glands ; Biological and medical sciences ; Computed tomography ; Contrast Media ; Cysts - diagnostic imaging ; Endoscopy ; Fatty Liver - diagnostic imaging ; Fiber Optic Technology ; Gastric cancer ; Gastric mucosa ; Gastric Mucosa - diagnostic imaging ; Gastric Mucosa - pathology ; Gastritis ; Gastritis - diagnostic imaging ; Gastritis - pathology ; Gastroenterology. Liver. Pancreas. Abdomen ; Gastroscopy - methods ; Humans ; Image Processing, Computer-Assisted - methods ; Image reconstruction ; Imaging, Three-Dimensional - methods ; Kidney Diseases, Cystic - diagnostic imaging ; Lesions ; Liver Diseases - diagnostic imaging ; Medical imaging ; Medical sciences ; Microbubbles ; Polyps ; Polyps - diagnostic imaging ; Polyps - pathology ; Radiation ; Radiation effects ; Sensation ; Sensitivity and Specificity ; Stomach ; Stomach - diagnostic imaging ; Stomach - pathology ; Stomach Neoplasms - diagnostic imaging ; Stomach Neoplasms - pathology ; Stomach Ulcer - diagnostic imaging ; Stomach Ulcer - pathology ; Supine position ; Tomography ; Tomography, X-Ray Computed - methods ; Ulcers ; User-Computer Interface</subject><ispartof>Abdominal imaging, 2005-07, Vol.30 (4), p.473-479</ispartof><rights>2006 INIST-CNRS</rights><rights>Springer Science+Business Media, Inc. 2005</rights><rights>Springer Science+Business Media, Inc. 2005.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-572c67c133186a49db9b23d4864098cf232e59ed36d78e7b42493588c40997d63</citedby><cites>FETCH-LOGICAL-c427t-572c67c133186a49db9b23d4864098cf232e59ed36d78e7b42493588c40997d63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17421987$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15688107$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>INAMOTO, K</creatorcontrib><creatorcontrib>KOUZAI, K</creatorcontrib><creatorcontrib>UEEDA, T</creatorcontrib><creatorcontrib>MARUKAWA, T</creatorcontrib><title>CT virtual endoscopy of the stomach : comparison study with gastric fiberscopy</title><title>Abdominal imaging</title><addtitle>Abdom Imaging</addtitle><description>We evaluated the value of computed tomographic (CT) gastric virtual endoscopy (VE) by comparing it with real gastric fiberscopy (GF).
Sixty-six VE findings in 63 patients were compared with lesions found with GF. After a GF examination, the examinees were given bubble-making granules for the stomach and placed in a supine position on the CT table. Abdominal CT slices of 1 mm thickness were obtained by multidetector row CT (Siemens Sensation 16) and reconstructed to VE images with volume and surface rendering on the same day.
VE images were successful in showing subtle alterations in the gastric mucosal folds. Gastric cancer, polyps, ulcers, erosions, and gastritis were clearly visualized. Comparison studies between VE and GF (as the gold standard) showed a sensitivity of 92.7% and a specificity of 90.9%. Original CT images were also useful in detecting lesions in other abdominal organs such as the liver, adrenal gland, and kidney.
Because VE is a good noninvasive screening method, except for minimal radiation exposure, it is expected to become a new technique for stomach examinations.</description><subject>Adrenal glands</subject><subject>Biological and medical sciences</subject><subject>Computed tomography</subject><subject>Contrast Media</subject><subject>Cysts - diagnostic imaging</subject><subject>Endoscopy</subject><subject>Fatty Liver - diagnostic imaging</subject><subject>Fiber Optic Technology</subject><subject>Gastric cancer</subject><subject>Gastric mucosa</subject><subject>Gastric Mucosa - diagnostic imaging</subject><subject>Gastric Mucosa - pathology</subject><subject>Gastritis</subject><subject>Gastritis - diagnostic imaging</subject><subject>Gastritis - pathology</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Gastroscopy - methods</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image reconstruction</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Kidney Diseases, Cystic - diagnostic imaging</subject><subject>Lesions</subject><subject>Liver Diseases - diagnostic imaging</subject><subject>Medical imaging</subject><subject>Medical sciences</subject><subject>Microbubbles</subject><subject>Polyps</subject><subject>Polyps - diagnostic imaging</subject><subject>Polyps - pathology</subject><subject>Radiation</subject><subject>Radiation effects</subject><subject>Sensation</subject><subject>Sensitivity and Specificity</subject><subject>Stomach</subject><subject>Stomach - diagnostic imaging</subject><subject>Stomach - pathology</subject><subject>Stomach Neoplasms - diagnostic imaging</subject><subject>Stomach Neoplasms - pathology</subject><subject>Stomach Ulcer - diagnostic imaging</subject><subject>Stomach Ulcer - pathology</subject><subject>Supine position</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ulcers</subject><subject>User-Computer Interface</subject><issn>0942-8925</issn><issn>2366-004X</issn><issn>1432-0509</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp1kU1rGzEQhkVIqN20PyCXIFLa27ajr5WUWzH5ApNe3LPQarXxmt2VI-22-N9Hrg2GQE8DM8_7MvAgdEXgOwGQPxIALUkBwAugUhVwhuaEM1qAAH2O5qA5LZSmYoY-prQBAMWk_oBmRJRKEZBz9LxY4T9tHCfbYT_UIbmw3eHQ4HHtcRpDb90a32IX-q2NbQpDXk71Dv9txzV-sWmMrcNNW_n4L_kJXTS2S_7zcV6i3_d3q8Vjsfz18LT4uSwcp3IshKSulI4wRlRpua4rXVFWc1Vy0Mo1lFEvtK9ZWUvlZcUp10wo5fJZy7pkl-jboXcbw-vk02j6NjnfdXbwYUqmVIJxDiyDX96BmzDFIf9mqASiNSgqMnXzXwoEVzp_miFygFwMKUXfmG1sext3hoDZ-zAHHyb7MHsfBnLm-lg8Vb2vT4mjgAx8PQI2Ods10Q6uTSdOckq0kuwNqjaP5A</recordid><startdate>20050701</startdate><enddate>20050701</enddate><creator>INAMOTO, K</creator><creator>KOUZAI, K</creator><creator>UEEDA, T</creator><creator>MARUKAWA, T</creator><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20050701</creationdate><title>CT virtual endoscopy of the stomach : comparison study with gastric fiberscopy</title><author>INAMOTO, K ; KOUZAI, K ; UEEDA, T ; MARUKAWA, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-572c67c133186a49db9b23d4864098cf232e59ed36d78e7b42493588c40997d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adrenal glands</topic><topic>Biological and medical sciences</topic><topic>Computed tomography</topic><topic>Contrast Media</topic><topic>Cysts - diagnostic imaging</topic><topic>Endoscopy</topic><topic>Fatty Liver - diagnostic imaging</topic><topic>Fiber Optic Technology</topic><topic>Gastric cancer</topic><topic>Gastric mucosa</topic><topic>Gastric Mucosa - diagnostic imaging</topic><topic>Gastric Mucosa - pathology</topic><topic>Gastritis</topic><topic>Gastritis - diagnostic imaging</topic><topic>Gastritis - pathology</topic><topic>Gastroenterology. 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Abdomen</topic><topic>Gastroscopy - methods</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image reconstruction</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Kidney Diseases, Cystic - diagnostic imaging</topic><topic>Lesions</topic><topic>Liver Diseases - diagnostic imaging</topic><topic>Medical imaging</topic><topic>Medical sciences</topic><topic>Microbubbles</topic><topic>Polyps</topic><topic>Polyps - diagnostic imaging</topic><topic>Polyps - pathology</topic><topic>Radiation</topic><topic>Radiation effects</topic><topic>Sensation</topic><topic>Sensitivity and Specificity</topic><topic>Stomach</topic><topic>Stomach - diagnostic imaging</topic><topic>Stomach - pathology</topic><topic>Stomach Neoplasms - diagnostic imaging</topic><topic>Stomach Neoplasms - pathology</topic><topic>Stomach Ulcer - diagnostic imaging</topic><topic>Stomach Ulcer - pathology</topic><topic>Supine position</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ulcers</topic><topic>User-Computer Interface</topic><toplevel>online_resources</toplevel><creatorcontrib>INAMOTO, K</creatorcontrib><creatorcontrib>KOUZAI, K</creatorcontrib><creatorcontrib>UEEDA, T</creatorcontrib><creatorcontrib>MARUKAWA, T</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>INAMOTO, K</au><au>KOUZAI, K</au><au>UEEDA, T</au><au>MARUKAWA, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CT virtual endoscopy of the stomach : comparison study with gastric fiberscopy</atitle><jtitle>Abdominal imaging</jtitle><addtitle>Abdom Imaging</addtitle><date>2005-07-01</date><risdate>2005</risdate><volume>30</volume><issue>4</issue><spage>473</spage><epage>479</epage><pages>473-479</pages><issn>0942-8925</issn><issn>2366-004X</issn><eissn>1432-0509</eissn><eissn>2366-0058</eissn><abstract>We evaluated the value of computed tomographic (CT) gastric virtual endoscopy (VE) by comparing it with real gastric fiberscopy (GF).
Sixty-six VE findings in 63 patients were compared with lesions found with GF. After a GF examination, the examinees were given bubble-making granules for the stomach and placed in a supine position on the CT table. Abdominal CT slices of 1 mm thickness were obtained by multidetector row CT (Siemens Sensation 16) and reconstructed to VE images with volume and surface rendering on the same day.
VE images were successful in showing subtle alterations in the gastric mucosal folds. Gastric cancer, polyps, ulcers, erosions, and gastritis were clearly visualized. Comparison studies between VE and GF (as the gold standard) showed a sensitivity of 92.7% and a specificity of 90.9%. Original CT images were also useful in detecting lesions in other abdominal organs such as the liver, adrenal gland, and kidney.
Because VE is a good noninvasive screening method, except for minimal radiation exposure, it is expected to become a new technique for stomach examinations.</abstract><cop>New York, NY</cop><pub>Springer</pub><pmid>15688107</pmid><doi>10.1007/s00261-004-0278-0</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | Springer Nature |
| subjects | Adrenal glands Biological and medical sciences Computed tomography Contrast Media Cysts - diagnostic imaging Endoscopy Fatty Liver - diagnostic imaging Fiber Optic Technology Gastric cancer Gastric mucosa Gastric Mucosa - diagnostic imaging Gastric Mucosa - pathology Gastritis Gastritis - diagnostic imaging Gastritis - pathology Gastroenterology. Liver. Pancreas. Abdomen Gastroscopy - methods Humans Image Processing, Computer-Assisted - methods Image reconstruction Imaging, Three-Dimensional - methods Kidney Diseases, Cystic - diagnostic imaging Lesions Liver Diseases - diagnostic imaging Medical imaging Medical sciences Microbubbles Polyps Polyps - diagnostic imaging Polyps - pathology Radiation Radiation effects Sensation Sensitivity and Specificity Stomach Stomach - diagnostic imaging Stomach - pathology Stomach Neoplasms - diagnostic imaging Stomach Neoplasms - pathology Stomach Ulcer - diagnostic imaging Stomach Ulcer - pathology Supine position Tomography Tomography, X-Ray Computed - methods Ulcers User-Computer Interface |
| title | CT virtual endoscopy of the stomach : comparison study with gastric fiberscopy |
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