Denise Schoenbeck, Alexander Sacha, Julius Henning Niehoff, Christoph Moenninghoff, Jan Borggrefe, Jan Robert Kroeger, Arwed Elias Michael
{"title":"利用虚拟单能量图像对光子计数计算机断层扫描中的低密度胶质病变进行成像。","authors":"Denise Schoenbeck, Alexander Sacha, Julius Henning Niehoff, Christoph Moenninghoff, Jan Borggrefe, Jan Robert Kroeger, Arwed Elias Michael","doi":"10.1177/19714009241240056","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Glioses appear as hypodense lesions in non-contrast CT examinations of the head. Photon counting CT (PCCT) enables the calculation of virtual monoenergetic images (VMI). The aim of this study is to investigate in which VMI hypodense gliotic lesions can be delineated best.</p><p><strong>Materials and methods: </strong>35 patients with an MRI-confirmed gliotic lesion and a non-contrast PCCT of the head were retrospectively included. All available VMI from 40 keV to 190 keV were calculated. In a quantitative analysis, conventional image quality parameters were calculated, in particular the contrast-to-noise ratio (CNR) of the hypodense lesion compared to the white matter. In a qualitative analysis, selected VMI were rated by experienced radiologists.</p><p><strong>Results: </strong>The absolute maximum of CNR was 8.12 ± 5.64 in the VMI 134 keV, in post hoc testing, there were significant differences in comparison to VMI with keV ≤110 and keV ≥180 (corrected <i>p</i> < .05). In the qualitative analysis, there were only very slight differences in the rating of the VMI with 66 keV, 80 keV, 100 keV, and 134 keV with overall low agreement between the readers.</p><p><strong>Conclusions: </strong>The quantitative superiority of VMI 134 keV for the delineation of hypodense gliotic lesions did not translate into a superiority in the qualitative analysis. Therefore, it remains uncertain if the reconstruction of a high keV VMIs for the detection of hypodense gliotic lesions is useful in everyday clinical practice. However, more studies, are necessary to further assess this issue.</p>","PeriodicalId":47358,"journal":{"name":"Neuroradiology Journal","volume":" ","pages":"336-341"},"PeriodicalIF":1.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11138327/pdf/","citationCount":"0","resultStr":"{\"title\":\"Imaging of hypodense gliotic lesions in photon counting computed tomography using virtual monoenergetic images.\",\"authors\":\"Denise Schoenbeck, Alexander Sacha, Julius Henning Niehoff, Christoph Moenninghoff, Jan Borggrefe, Jan Robert Kroeger, Arwed Elias Michael\",\"doi\":\"10.1177/19714009241240056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Glioses appear as hypodense lesions in non-contrast CT examinations of the head. Photon counting CT (PCCT) enables the calculation of virtual monoenergetic images (VMI). The aim of this study is to investigate in which VMI hypodense gliotic lesions can be delineated best.</p><p><strong>Materials and methods: </strong>35 patients with an MRI-confirmed gliotic lesion and a non-contrast PCCT of the head were retrospectively included. All available VMI from 40 keV to 190 keV were calculated. In a quantitative analysis, conventional image quality parameters were calculated, in particular the contrast-to-noise ratio (CNR) of the hypodense lesion compared to the white matter. In a qualitative analysis, selected VMI were rated by experienced radiologists.</p><p><strong>Results: </strong>The absolute maximum of CNR was 8.12 ± 5.64 in the VMI 134 keV, in post hoc testing, there were significant differences in comparison to VMI with keV ≤110 and keV ≥180 (corrected <i>p</i> < .05). In the qualitative analysis, there were only very slight differences in the rating of the VMI with 66 keV, 80 keV, 100 keV, and 134 keV with overall low agreement between the readers.</p><p><strong>Conclusions: </strong>The quantitative superiority of VMI 134 keV for the delineation of hypodense gliotic lesions did not translate into a superiority in the qualitative analysis. Therefore, it remains uncertain if the reconstruction of a high keV VMIs for the detection of hypodense gliotic lesions is useful in everyday clinical practice. However, more studies, are necessary to further assess this issue.</p>\",\"PeriodicalId\":47358,\"journal\":{\"name\":\"Neuroradiology Journal\",\"volume\":\" \",\"pages\":\"336-341\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11138327/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroradiology Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/19714009241240056\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroradiology Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19714009241240056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/15 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NEUROIMAGING","Score":null,"Total":0}
Imaging of hypodense gliotic lesions in photon counting computed tomography using virtual monoenergetic images.
Objectives: Glioses appear as hypodense lesions in non-contrast CT examinations of the head. Photon counting CT (PCCT) enables the calculation of virtual monoenergetic images (VMI). The aim of this study is to investigate in which VMI hypodense gliotic lesions can be delineated best.
Materials and methods: 35 patients with an MRI-confirmed gliotic lesion and a non-contrast PCCT of the head were retrospectively included. All available VMI from 40 keV to 190 keV were calculated. In a quantitative analysis, conventional image quality parameters were calculated, in particular the contrast-to-noise ratio (CNR) of the hypodense lesion compared to the white matter. In a qualitative analysis, selected VMI were rated by experienced radiologists.
Results: The absolute maximum of CNR was 8.12 ± 5.64 in the VMI 134 keV, in post hoc testing, there were significant differences in comparison to VMI with keV ≤110 and keV ≥180 (corrected p < .05). In the qualitative analysis, there were only very slight differences in the rating of the VMI with 66 keV, 80 keV, 100 keV, and 134 keV with overall low agreement between the readers.
Conclusions: The quantitative superiority of VMI 134 keV for the delineation of hypodense gliotic lesions did not translate into a superiority in the qualitative analysis. Therefore, it remains uncertain if the reconstruction of a high keV VMIs for the detection of hypodense gliotic lesions is useful in everyday clinical practice. However, more studies, are necessary to further assess this issue.
期刊介绍：
NRJ - The Neuroradiology Journal (formerly Rivista di Neuroradiologia) is the official journal of the Italian Association of Neuroradiology and of the several Scientific Societies from all over the world. Founded in 1988 as Rivista di Neuroradiologia, of June 2006 evolved in NRJ - The Neuroradiology Journal. It is published bimonthly.
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