Derivation of a nuclear heterogeneity image index to grade DCIS.
Derivation of a nuclear heterogeneity image index to grade DCIS.
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DCI级核异质性图像指数的推导。
DOI：
10.1016/j.csbj.2020.11.040
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发表时间：
2020
影响因子：
6
通讯作者：
Weaver VM
中科院分区：
文献类型：
--
作者：
Hayward MK;Louise Jones J;Hall A;King L;Ironside AJ;Nelson AC;Shelley Hwang E;Weaver VM
Abnormalities in cell nuclear morphology is a hallmark of cancer. Changes in nuclear morphology are utilized by pathologists in tumor grading. Heterogeneity in DCIS grade may influence invasive progression. Current pathological assessment of DCIS does not incorporate heterogeneity. I mage analysis is a supplemental tool for pathologists to quantitatively grade DCIS. Abnormalities in cell nuclear morphology are a hallmark of cancer. Histological assessment of cell nuclear morphology is frequently used by pathologists to grade ductal carcinoma in situ (DCIS). Objective methods that allow standardization and reproducibility of cell nuclear morphology assessment have potential to improve the criteria needed to predict DCIS progression and recurrence. Aggressive cancers are highly heterogeneous. We asked whether cell nuclear morphology heterogeneity could be incorporated into a metric to classify DCIS. We developed a nuclear heterogeneity image index to objectively, and quantitatively grade DCIS. A whole-tissue cell nuclear morphological analysis, that classified tumors by the worst ten percent in a duct-by-duct manner, identified nuclear size ranges associated with each DCIS grade. Digital image analysis further revealed increasing heterogeneity within ducts or between ducts in tissues of worsening DCIS grade. The findings illustrate how digital image analysis comprises a supplemental tool for pathologists to objectively classify DCIS and in the future, may provide a method to predict patient outcome through analysis of nuclear heterogeneity.
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影响因子：
4.6
作者：
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者：
Hamilton PW
影响因子：
--
作者：
Hipp J;Flotte T;Monaco J;Cheng J;Madabhushi A;Yagi Y;Rodriguez-Canales J;Emmert-Buck M;Dugan MC;Hewitt S;Toner M;Tompkins RG;Lucas D;Gilbertson JR;Balis UJ
通讯作者：
Balis UJ
影响因子：
3.8
作者：
Chapman JA;Miller NA;Lickley HL;Qian J;Christens-Barry WA;Fu Y;Yuan Y;Axelrod DE
通讯作者：
Axelrod DE
影响因子：
3.7
作者：
Dong F;Irshad H;Oh EY;Lerwill MF;Brachtel EF;Jones NC;Knoblauch NW;Montaser-Kouhsari L;Johnson NB;Rao LK;Faulkner-Jones B;Wilbur DC;Schnitt SJ;Beck AH
通讯作者：
Beck AH
影响因子：
--
作者：
Hammond, M. Elizabeth H.;Hayes, Daniel F.;Temin, Sarah
通讯作者：
Temin, Sarah