دورية أكاديمية
أعرض في EDS

Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer.

التفاصيل البيبلوغرافية
العنوان: Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer.
المؤلفون: Brandt KR; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. brandt.kathy@mayo.edu., Scott CG; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA., Miglioretti DL; Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Seattle, WA, 98101, USA., Jensen MR; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA., Mahmoudzadeh AP; Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, San Francisco, CA, 94143, USA., Hruska C; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA., Ma L; Division of Research, Kaiser Permanente, 2000 Broadway, Oakland, CA, 94612, USA., Wu FF; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA., Cummings SR; California Pacific Medical Center Research Institute, 475 Brannan Street #220, San Francisco, CA, 94107, USA., Norman AD; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA., Engmann NJ; Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Second Floor, San Francisco, CA, 94158, USA., Shepherd JA; University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA., Winham SJ; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA., Kerlikowske K; Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Second Floor, San Francisco, CA, 94158, USA., Vachon CM; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
المصدر: Breast cancer research : BCR [Breast Cancer Res] 2019 Oct 28; Vol. 21 (1), pp. 118. Date of Electronic Publication: 2019 Oct 28.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural
اللغة: English
بيانات الدورية: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100927353 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-542X (Electronic) Linking ISSN: 14655411 NLM ISO Abbreviation: Breast Cancer Res Subsets: MEDLINE
أسماء مطبوعة: Publication: London, UK : BioMed Central Ltd
Original Publication: London, UK : Current Science, c1999-
مواضيع طبية MeSH: Breast Density*, Breast/*diagnostic imaging , Breast Neoplasms/*diagnosis , Early Detection of Cancer/*methods , Mammography/*methods, Aged ; Automation ; Case-Control Studies ; Early Detection of Cancer/instrumentation ; Female ; Humans ; Mammography/instrumentation ; Middle Aged ; Reproducibility of Results ; Sensitivity and Specificity ; Tumor Burden
مستخلص: Background: Given that breast cancer and normal dense fibroglandular tissue have similar radiographic attenuation, we examine whether automated volumetric density measures identify a differential change between breasts in women with cancer and compare to healthy controls.
Methods: Eligible cases (n = 1160) had unilateral invasive breast cancer and bilateral full-field digital mammograms (FFDMs) at two time points: within 2 months and 1-5 years before diagnosis. Controls (n = 2360) were matched to cases on age and date of FFDMs. Dense volume (DV) and volumetric percent density (VPD) for each breast were assessed using Volpara™. Differences in DV and VPD between mammograms (median 3 years apart) were calculated per breast separately for cases and controls and their difference evaluated by using the Wilcoxon signed-rank test. To simulate clinical practice where cancer laterality is unknown, we examined whether the absolute difference between breasts can discriminate cases from controls using area under the ROC curve (AUC) analysis, adjusting for age, BMI, and time.
Results: Among cases, the VPD and DV between mammograms of the cancerous breast decreased to a lesser degree (- 0.26% and - 2.10 cm 3 ) than the normal breast (- 0.39% and - 2.74 cm 3 ) for a difference of 0.13% (p value < 0.001) and 0.63 cm 3 (p = 0.002), respectively. Among controls, the differences between breasts were nearly identical for VPD (- 0.02 [p = 0.92]) and DV (0.05 [p = 0.77]). The AUC for discriminating cases from controls using absolute difference between breasts was 0.54 (95% CI 0.52, 0.56) for VPD and 0.56 (95% CI, 0.54, 0.58) for DV.
Conclusion: There is a small relative increase in volumetric density measures over time in the breast with cancer which is not found in the normal breast. However, the magnitude of this difference is small, and this measure alone does not appear to be a good discriminator between women with and without breast cancer.
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معلومات مُعتمدة: P01 CA154292 United States CA NCI NIH HHS; R01 CA177150 United States CA NCI NIH HHS; R01 CA207084 United States CA NCI NIH HHS
فهرسة مساهمة: Keywords: Breast cancer; Breast density; Risk; Tissue asymmetry; Volumetric density
تواريخ الأحداث: Date Created: 20191030 Date Completed: 20200406 Latest Revision: 20200408
رمز التحديث: 20240829
مُعرف محوري في PubMed: PMC6819393
DOI: 10.1186/s13058-019-1198-9
PMID: 31660981
قاعدة البيانات: MEDLINE
الوصف
تدمد:1465-542X
DOI:10.1186/s13058-019-1198-9