Comparison between borderline ovarian tumors and carcinomas using semi-automated histogram analysis of diffusion-weighted imaging: focusing on solid components.
Purpose: This study aimed to evaluate whether histogram analysis of the apparent diffusion coefficient (ADC) of a solid tumor component could distinguish borderline ovarian tumors from ovarian carcinoma.Materials and Methods: Sixteen pathologically proven borderline tumors and 21 carcinomas were ret...
| Publicado en: | Japanese Journal of Radiology Vol. 34; no. 3; pp. 229 - 238 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113840938&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113840938 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18671071 AUCM jtl: Japanese Journal of Radiology issn: 18671071 maglogo: N pubinfo: dt: Mar2016 vid: 34 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 113840938 113840938 NLM26798066 113840938 10.1007/s11604-016-0518-6 NLM26798066 113840938 ppf: 229 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Comparison between borderline ovarian tumors and carcinomas using semi-automated histogram analysis of diffusion-weighted imaging: focusing on solid components. aug: au: Mimura, Rie Kato, Fumi Tha, Khin Kudo, Kohsuke Konno, Yosuke Oyama-Manabe, Noriko Kato, Tatsuya Watari, Hidemichi Sakuragi, Noriaki Shirato, Hiroki Tha, Khin Khin affil: Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, N15, W7, Kita-ku Sapporo 060-8638 Japan sug: subj: Magnetic Resonance Imaging Methods Ovarian Neoplasms Carcinoma Image Interpretation, Computer Assisted Methods Female ROC Curve Human Diagnosis, Differential Young Adult Sensitivity and Specificity Aged Ovary Pharmacokinetics Retrospective Design Middle Age Adult Aged, 80 and Over Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged: 65+ years Middle Aged: 45-64 years Adult: 19-44 years Aged, 80 & over Female ab: Purpose: This study aimed to evaluate whether histogram analysis of the apparent diffusion coefficient (ADC) of a solid tumor component could distinguish borderline ovarian tumors from ovarian carcinoma.Materials and Methods: Sixteen pathologically proven borderline tumors and 21 carcinomas were retrospectively examined. Magnetic resonance (1.5-T) image data sets were coregistered, and the solid components of each tumor were semiautomatically segmented. ADC histograms of the solid components were extracted; modes, minimums, means, and 10th, 25th, 50th, 75th, and 90th percentiles of the histograms were compared between the two tumor types, and receiver-operating characteristic (ROC) analysis was performed.Results: The mode, minimum, mean, 10th, 25th, 50th, and 75th percentile ADC values of solid components of borderline tumors were significantly larger than those of carcinomas. Among these, the 10th percentile values had the lowest p value (p = 0.0003). At ROC analysis, the area under the curve (AUC) in the 10th percentile was the greatest (0.854), and the best cutoff value in the 10th percentile provided the highest specificity (93.8 %).Conclusions: ADC histograms of solid tumor components facilitated the distinction between borderline ovarian tumors and carcinoma. The 10th percentile ADC values had the best diagnostic performance. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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