Enhancing ACR TI-RADS Predictive Value: A Logistic Regression Approach With Size and Age to Personalized Fine Needle Aspiration Decision-Making.

Amini M, Shrestha E, Ghimire A, Newman J, Silverberg AB, Albert SG

Open source

DOI
10.1016/j.aed.2026.05.002
Published
2026 Sep-Oct
Container
AACE endocrinology and diabetes
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.aed.2026.05.002,
  title = {Enhancing ACR TI-RADS Predictive Value: A Logistic Regression Approach With Size and Age to Personalized Fine Needle Aspiration Decision-Making.},
  author = {Amini M and Shrestha E and Ghimire A and Newman J and Silverberg AB and Albert SG},
  year = {2026},
  journal = {AACE endocrinology and diabetes},
  doi = {10.1016/j.aed.2026.05.002},
  url = {https://doi.org/10.1016/j.aed.2026.05.002}
}

RIS

TY  - JOUR
TI  - Enhancing ACR TI-RADS Predictive Value: A Logistic Regression Approach With Size and Age to Personalized Fine Needle Aspiration Decision-Making.
AU  - Amini M
AU  - Shrestha E
AU  - Ghimire A
AU  - Newman J
AU  - Silverberg AB
AU  - Albert SG
PY  - 2026
JO  - AACE endocrinology and diabetes
DO  - 10.1016/j.aed.2026.05.002
UR  - https://doi.org/10.1016/j.aed.2026.05.002
ER  - 

APA

M, A., E, S., A, G., J, N., AB, S., & SG, A. (2026). Enhancing ACR TI-RADS Predictive Value: A Logistic Regression Approach With Size and Age to Personalized Fine Needle Aspiration Decision-Making.. AACE endocrinology and diabetes. https://doi.org/10.1016/j.aed.2026.05.002

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