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Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm
Purpose To evaluate the image quality and lesion visibility of virtual monoenergetic images (VMIs) reconstructed using a new monoenergetic reconstruction algorithm (nMERA) for evaluation of breast cancer. Materials and methods Forty-two patients with 46 breast cancers who underwent 4-phasic breast c...
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| Published in: | Japanese journal of radiology 2020-02, Vol.38 (2), p.154-164 |
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| container_end_page | 164 |
| container_issue | 2 |
| container_start_page | 154 |
| container_title | Japanese journal of radiology |
| container_volume | 38 |
| creator | Okada, Kanako Matsuda, Megumi Tsuda, Takaharu Kido, Teruhito Murata, Akihiro Nishiyama, Hikaru Nishiyama, Kanako Yamasawa, Haruna Kamei, Yoshiaki Kurata, Mie Fukushima, Mana Kitazawa, Riko Mochizuki, Teruhito |
| description | Purpose
To evaluate the image quality and lesion visibility of virtual monoenergetic images (VMIs) reconstructed using a new monoenergetic reconstruction algorithm (nMERA) for evaluation of breast cancer.
Materials and methods
Forty-two patients with 46 breast cancers who underwent 4-phasic breast contrast-enhanced computed tomography (CT) using dual-energy CT (DECT) were enrolled. We selected the peak enhancement phase of the lesion in each patient. The selected phase images were generated by 120-kVp-equivalent linear blended (M120) and monoenergetic reconstructions from 40 to 80 keV using the standard reconstruction algorithm (sMERA: 40, 50, 60, 70, 80) and nMERA (40 +, 50 +, 60 +, 70 +, 80 +). The contrast-to-noise ratio (CNR) was calculated and objectively analyzed. Two independent readers subjectively scored tumor visibility and image quality each on a 5-point scale.
Results
The CNR at 40 + and tumor visibility scores at 40 + and 50 + were significantly higher than those on M120. The CNR at 50 + was not significantly different from that on M120. However, the overall image quality score at 40 + was significantly lower than that at 50 + and on M120 (40 + vs M120,
P
|
| doi_str_mv | 10.1007/s11604-019-00897-1 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2312280067</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2351332313</sourcerecordid><originalsourceid>FETCH-LOGICAL-c454t-f00ddb1e2f7f5240462e389ca0d5954f8efaf88e3ea6f93ae22d8561495c7feb3</originalsourceid><addsrcrecordid>eNp9kctO3TAQhi1UxLUv0EVlqZtuQn1L4nRXUWgrIbEBiZ3l44xDUGKf-gI6b8Uj4nAovSy68mjm-_-x5kfoHSUnlJD2U6S0IaIitKsIkV1b0R10QGVTCiJv3rzWLd1HhzHeEdIILsQe2ue0kQ3rxAF6_Jr1VIGDMGyw8fM6J-hx8rMfgl7fbrD1AcO9nrJOo3fYW7wKoGPCRjsD4TNeZrD078eQihmevfPPhpBGg8dZDxBxAONdTCGbxf9hTLdYY-fHCFWAPpvS_Fv3h2DZq6fBh6Kaj9Gu1VOEty_vEbo-P7s6_V5dXH77cfrlojKiFqmyhPT9igKzra2ZIKJhwGVnNOnrrhZWgtVWSuCgG9txDYz1sm6o6GrTWljxI_Rx67sO_meGmNQ8RgPTpB34HBXjlDFZTtoW9MM_6J3PwZXfFaqmnBeWF4ptKRN8jAGsWodynLBRlKglT7XNU5U81XOeihbR-xfrvJqhf5X8CrAAfAvEMnIDhN-7_2P7BCaPsPY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2351332313</pqid></control><display><type>article</type><title>Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm</title><source>Springer Link</source><creator>Okada, Kanako ; Matsuda, Megumi ; Tsuda, Takaharu ; Kido, Teruhito ; Murata, Akihiro ; Nishiyama, Hikaru ; Nishiyama, Kanako ; Yamasawa, Haruna ; Kamei, Yoshiaki ; Kurata, Mie ; Fukushima, Mana ; Kitazawa, Riko ; Mochizuki, Teruhito</creator><creatorcontrib>Okada, Kanako ; Matsuda, Megumi ; Tsuda, Takaharu ; Kido, Teruhito ; Murata, Akihiro ; Nishiyama, Hikaru ; Nishiyama, Kanako ; Yamasawa, Haruna ; Kamei, Yoshiaki ; Kurata, Mie ; Fukushima, Mana ; Kitazawa, Riko ; Mochizuki, Teruhito</creatorcontrib><description>Purpose
To evaluate the image quality and lesion visibility of virtual monoenergetic images (VMIs) reconstructed using a new monoenergetic reconstruction algorithm (nMERA) for evaluation of breast cancer.
Materials and methods
Forty-two patients with 46 breast cancers who underwent 4-phasic breast contrast-enhanced computed tomography (CT) using dual-energy CT (DECT) were enrolled. We selected the peak enhancement phase of the lesion in each patient. The selected phase images were generated by 120-kVp-equivalent linear blended (M120) and monoenergetic reconstructions from 40 to 80 keV using the standard reconstruction algorithm (sMERA: 40, 50, 60, 70, 80) and nMERA (40 +, 50 +, 60 +, 70 +, 80 +). The contrast-to-noise ratio (CNR) was calculated and objectively analyzed. Two independent readers subjectively scored tumor visibility and image quality each on a 5-point scale.
Results
The CNR at 40 + and tumor visibility scores at 40 + and 50 + were significantly higher than those on M120. The CNR at 50 + was not significantly different from that on M120. However, the overall image quality score at 40 + was significantly lower than that at 50 + and on M120 (40 + vs M120,
P
< 0.0001 and 40 + vs 50 +,
P
= 0.0001).
Conclusions
VMI reconstructed with nMERA at 50 keV is preferable for evaluation of patients with breast cancer.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-019-00897-1</identifier><identifier>PMID: 31686294</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Algorithms ; Breast cancer ; Computed tomography ; Image enhancement ; Image quality ; Image reconstruction ; Imaging ; Lesions ; Medical imaging ; Medicine ; Medicine & Public Health ; Noise ; Nuclear Medicine ; Original Article ; Radiology ; Radiotherapy ; Tomography ; Tumors</subject><ispartof>Japanese journal of radiology, 2020-02, Vol.38 (2), p.154-164</ispartof><rights>Japan Radiological Society 2019</rights><rights>Japanese Journal of Radiology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-f00ddb1e2f7f5240462e389ca0d5954f8efaf88e3ea6f93ae22d8561495c7feb3</citedby><cites>FETCH-LOGICAL-c454t-f00ddb1e2f7f5240462e389ca0d5954f8efaf88e3ea6f93ae22d8561495c7feb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31686294$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Okada, Kanako</creatorcontrib><creatorcontrib>Matsuda, Megumi</creatorcontrib><creatorcontrib>Tsuda, Takaharu</creatorcontrib><creatorcontrib>Kido, Teruhito</creatorcontrib><creatorcontrib>Murata, Akihiro</creatorcontrib><creatorcontrib>Nishiyama, Hikaru</creatorcontrib><creatorcontrib>Nishiyama, Kanako</creatorcontrib><creatorcontrib>Yamasawa, Haruna</creatorcontrib><creatorcontrib>Kamei, Yoshiaki</creatorcontrib><creatorcontrib>Kurata, Mie</creatorcontrib><creatorcontrib>Fukushima, Mana</creatorcontrib><creatorcontrib>Kitazawa, Riko</creatorcontrib><creatorcontrib>Mochizuki, Teruhito</creatorcontrib><title>Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm</title><title>Japanese journal of radiology</title><addtitle>Jpn J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
To evaluate the image quality and lesion visibility of virtual monoenergetic images (VMIs) reconstructed using a new monoenergetic reconstruction algorithm (nMERA) for evaluation of breast cancer.
Materials and methods
Forty-two patients with 46 breast cancers who underwent 4-phasic breast contrast-enhanced computed tomography (CT) using dual-energy CT (DECT) were enrolled. We selected the peak enhancement phase of the lesion in each patient. The selected phase images were generated by 120-kVp-equivalent linear blended (M120) and monoenergetic reconstructions from 40 to 80 keV using the standard reconstruction algorithm (sMERA: 40, 50, 60, 70, 80) and nMERA (40 +, 50 +, 60 +, 70 +, 80 +). The contrast-to-noise ratio (CNR) was calculated and objectively analyzed. Two independent readers subjectively scored tumor visibility and image quality each on a 5-point scale.
Results
The CNR at 40 + and tumor visibility scores at 40 + and 50 + were significantly higher than those on M120. The CNR at 50 + was not significantly different from that on M120. However, the overall image quality score at 40 + was significantly lower than that at 50 + and on M120 (40 + vs M120,
P
< 0.0001 and 40 + vs 50 +,
P
= 0.0001).
Conclusions
VMI reconstructed with nMERA at 50 keV is preferable for evaluation of patients with breast cancer.</description><subject>Algorithms</subject><subject>Breast cancer</subject><subject>Computed tomography</subject><subject>Image enhancement</subject><subject>Image quality</subject><subject>Image reconstruction</subject><subject>Imaging</subject><subject>Lesions</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Noise</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Tomography</subject><subject>Tumors</subject><issn>1867-1071</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kctO3TAQhi1UxLUv0EVlqZtuQn1L4nRXUWgrIbEBiZ3l44xDUGKf-gI6b8Uj4nAovSy68mjm-_-x5kfoHSUnlJD2U6S0IaIitKsIkV1b0R10QGVTCiJv3rzWLd1HhzHeEdIILsQe2ue0kQ3rxAF6_Jr1VIGDMGyw8fM6J-hx8rMfgl7fbrD1AcO9nrJOo3fYW7wKoGPCRjsD4TNeZrD078eQihmevfPPhpBGg8dZDxBxAONdTCGbxf9hTLdYY-fHCFWAPpvS_Fv3h2DZq6fBh6Kaj9Gu1VOEty_vEbo-P7s6_V5dXH77cfrlojKiFqmyhPT9igKzra2ZIKJhwGVnNOnrrhZWgtVWSuCgG9txDYz1sm6o6GrTWljxI_Rx67sO_meGmNQ8RgPTpB34HBXjlDFZTtoW9MM_6J3PwZXfFaqmnBeWF4ptKRN8jAGsWodynLBRlKglT7XNU5U81XOeihbR-xfrvJqhf5X8CrAAfAvEMnIDhN-7_2P7BCaPsPY</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Okada, Kanako</creator><creator>Matsuda, Megumi</creator><creator>Tsuda, Takaharu</creator><creator>Kido, Teruhito</creator><creator>Murata, Akihiro</creator><creator>Nishiyama, Hikaru</creator><creator>Nishiyama, Kanako</creator><creator>Yamasawa, Haruna</creator><creator>Kamei, Yoshiaki</creator><creator>Kurata, Mie</creator><creator>Fukushima, Mana</creator><creator>Kitazawa, Riko</creator><creator>Mochizuki, Teruhito</creator><general>Springer Japan</general><general>Springer Nature 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computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm</title><author>Okada, Kanako ; Matsuda, Megumi ; Tsuda, Takaharu ; Kido, Teruhito ; Murata, Akihiro ; Nishiyama, Hikaru ; Nishiyama, Kanako ; Yamasawa, Haruna ; Kamei, Yoshiaki ; Kurata, Mie ; Fukushima, Mana ; Kitazawa, Riko ; Mochizuki, Teruhito</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-f00ddb1e2f7f5240462e389ca0d5954f8efaf88e3ea6f93ae22d8561495c7feb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Breast cancer</topic><topic>Computed tomography</topic><topic>Image enhancement</topic><topic>Image quality</topic><topic>Image reconstruction</topic><topic>Imaging</topic><topic>Lesions</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public 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Teruhito</au><au>Murata, Akihiro</au><au>Nishiyama, Hikaru</au><au>Nishiyama, Kanako</au><au>Yamasawa, Haruna</au><au>Kamei, Yoshiaki</au><au>Kurata, Mie</au><au>Fukushima, Mana</au><au>Kitazawa, Riko</au><au>Mochizuki, Teruhito</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm</atitle><jtitle>Japanese journal of radiology</jtitle><stitle>Jpn J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>38</volume><issue>2</issue><spage>154</spage><epage>164</epage><pages>154-164</pages><issn>1867-1071</issn><eissn>1867-108X</eissn><abstract>Purpose
To evaluate the image quality and lesion visibility of virtual monoenergetic images (VMIs) reconstructed using a new monoenergetic reconstruction algorithm (nMERA) for evaluation of breast cancer.
Materials and methods
Forty-two patients with 46 breast cancers who underwent 4-phasic breast contrast-enhanced computed tomography (CT) using dual-energy CT (DECT) were enrolled. We selected the peak enhancement phase of the lesion in each patient. The selected phase images were generated by 120-kVp-equivalent linear blended (M120) and monoenergetic reconstructions from 40 to 80 keV using the standard reconstruction algorithm (sMERA: 40, 50, 60, 70, 80) and nMERA (40 +, 50 +, 60 +, 70 +, 80 +). The contrast-to-noise ratio (CNR) was calculated and objectively analyzed. Two independent readers subjectively scored tumor visibility and image quality each on a 5-point scale.
Results
The CNR at 40 + and tumor visibility scores at 40 + and 50 + were significantly higher than those on M120. The CNR at 50 + was not significantly different from that on M120. However, the overall image quality score at 40 + was significantly lower than that at 50 + and on M120 (40 + vs M120,
P
< 0.0001 and 40 + vs 50 +,
P
= 0.0001).
Conclusions
VMI reconstructed with nMERA at 50 keV is preferable for evaluation of patients with breast cancer.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>31686294</pmid><doi>10.1007/s11604-019-00897-1</doi><tpages>11</tpages></addata></record> |
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| subjects | Algorithms Breast cancer Computed tomography Image enhancement Image quality Image reconstruction Imaging Lesions Medical imaging Medicine Medicine & Public Health Noise Nuclear Medicine Original Article Radiology Radiotherapy Tomography Tumors |
| title | Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm |
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