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Chintana Paramagul
Researcher at University of Michigan
Publications - 65
Citations - 2709
Chintana Paramagul is an academic researcher from University of Michigan. The author has contributed to research in topics: Mammography & Breast cancer. The author has an hindex of 26, co-authored 65 publications receiving 2489 citations.
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Journal ArticleDOI
Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study.
Heang Ping Chan,Berkman Sahiner,Mark A. Helvie,Nicholas Petrick,Marilyn A. Roubidoux,Todd E. Wilson,Dorit D. Adler,Chintana Paramagul,Joel S. Newman,Sethumadavan Sanjay-Gopal +9 more
TL;DR: CAD may be useful for assisting radiologists in classification of masses and thereby potentially help reduce unnecessary biopsies, as predicted from the improved ROC curves.
Journal ArticleDOI
Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization
Berkman Sahiner,Nicholas Petrick,Heang Ping Chan,Lubomir M. Hadjiiski,Chintana Paramagul,Mark A. Helvie,Metin N. Gurcan +6 more
TL;DR: The automated segmentation method was quantitatively compared with manual segmentation by two expert radiologists using three similarity or distance measures on a data set of 100 masses to investigate the effect of the segmentation stage on the overall classification accuracy.
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Lobular Carcinoma in Situ or Atypical Lobular Hyperplasia at Core-Needle Biopsy: Is Excisional Biopsy Necessary?
Michelle Foster,Mark A. Helvie,Nancy E. Gregory,Murray Rebner,Alexis V. Nees,Chintana Paramagul +5 more
TL;DR: Lesions in 17% of patients with LCIS or ALH at CNB were upgraded to invasive cancer or DCIS; this rate was similar to the upgrade rate in patients with ADH, andcisional biopsy is supported when LCIS, ALH, or ADH is diagnosed at CNBs.
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Clinical and Radiologic Assessments to Predict Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy
Anne F. Schott,Marilyn A. Roubidoux,Mark A. Helvie,Daniel F. Hayes,Celina G. Kleer,Lisa A. Newman,Lori J. Pierce,Kent A. Griffith,Susan Murray,Karen A. Hunt,Chintana Paramagul,Laurence H. Baker +11 more
TL;DR: Comparing the ability of clinical examination, mammography, vascularity-sensitive ultrasound, and magnetic resonance imaging to determine pathologic complete response (CR) in breast cancer patients undergoing neoadjuvant chemotherapy found the accuracy of current imaging modalities was insufficient to make this determination.
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Mammographic Density Measured with Quantitative Computer-aided Method: Comparison with Radiologists' Estimates and BI-RADS Categories
Katherine E. Martin,Mark A. Helvie,Chuan Zhou,Marilyn A. Roubidoux,Janet E. Bailey,Chintana Paramagul,Caroline E. Blane,Katherine A. Klein,Seema S. Sonnad,Heang Ping Chan +9 more
TL;DR: MDEST compared favorably with radiologists estimates of percentage density and is more reproducible than radiologist estimates when qualitative BI-RADS density categories are used.