دورية أكاديمية
Whole-lesion histogram analysis of the apparent diffusion coefficient: Evaluation of the correlation with subtypes of mucinous breast carcinoma.
| العنوان: | Whole-lesion histogram analysis of the apparent diffusion coefficient: Evaluation of the correlation with subtypes of mucinous breast carcinoma. |
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| المؤلفون: | Guo Y; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China., Kong QC; Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., Zhu YQ; Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., Liu ZZ; Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., Peng LR; Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., Tang WJ; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China., Yang RM; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China., Xie JJ; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China., Liu CL; Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, China. |
| المصدر: | Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2018 Feb; Vol. 47 (2), pp. 391-400. Date of Electronic Publication: 2017 Jun 22. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: <2005-> : Hoboken , N.J. : Wiley-Liss Original Publication: Chicago, IL : Society for Magnetic Resonance Imaging, c1991- |
| مواضيع طبية MeSH: | Adenocarcinoma, Mucinous/*diagnostic imaging , Breast Neoplasms/*diagnostic imaging , Image Interpretation, Computer-Assisted/*methods , Magnetic Resonance Imaging/*methods, Adenocarcinoma, Mucinous/pathology ; Breast/diagnostic imaging ; Breast/pathology ; Breast Neoplasms/pathology ; Diagnosis, Differential ; Female ; Humans ; Middle Aged ; Retrospective Studies ; Sensitivity and Specificity |
| مستخلص: | Purpose: To evaluate the utility of the whole-lesion histogram apparent diffusion coefficient (ADC) for characterizing the heterogeneity of mucinous breast carcinoma (MBC) and to determine which ADC metrics may help to best differentiate subtypes of MBC. Materials and Methods: This retrospective study involved 52 MBC patients, including 37 pure MBC (PMBC) and 15 mixed MBC (MMBC). The PMBC patients were subtyped into PMBC-A (20 cases) and PMBC-B (17 cases) groups. All patients underwent preoperative diffusion-weighted imaging (DWI) at 1.5T and the whole-lesion ADC assessments were generated. Histogram-derived ADC parameters were compared between PMBC vs. MMBC and PMBC-A vs. PMBC-B, and receiver operating characteristic (ROC) curve analysis was used to determine optimal histogram parameters for differentiating these groups. Results: The PMBC group exhibited significantly higher ADC values for the mean (P = 0.004), 25 th (P = 0.004), 50 th (P = 0.004), 75 th (P = 0.006), and 90 th percentiles (P = 0.013) and skewness (P = 0.021) than did the MMBC group. The 25 th percentile of ADC values achieved the highest area under the curve (AUC) (0.792), with a cutoff value of 1.345 × 10 -3 mm 2 /s, in distinguishing PMBC and MMBC. The PMBC-A group showed significantly higher ADC values for the mean (P = 0.049), 25 th (P = 0.015), and 50 th (P = 0.026) percentiles and skewness (P = 0.004) than did the PMBC-B group. The 25 th percentile of the ADC cutoff value (1.476 × 10 -3 mm 2 /s) demonstrated the best AUC (0.837) among the ADC values for distinguishing PMBC-A and PMBC-B. Conclusion: Whole-lesion ADC histogram analysis enables comprehensive evaluation of an MBC in its entirety and differentiating subtypes of MBC. Thus, it may be a helpful and supportive tool for conventional MRI. Level of Evidence: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:391-400. (© 2017 International Society for Magnetic Resonance in Medicine.) |
| فهرسة مساهمة: | Keywords: MRI; apparent diffusion coefficient; breast; diffusion-weighted imaging; histogram; mucinous breast carcinoma |
| تواريخ الأحداث: | Date Created: 20170623 Date Completed: 20190613 Latest Revision: 20190613 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1002/jmri.25794 |
| PMID: | 28640538 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1522-2586 |
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| DOI: | 10.1002/jmri.25794 |