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Profil bibliographique

Sara Hughes Javid

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

105Publications signalées
4690Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Breast Cancer Treatment StudiesBreast Lesions and CarcinomasMRI in cancer diagnosisGlobal Cancer Incidence and ScreeningRadiomics and Machine Learning in Medical Imaging

Les publications récentes

2026 conference-paper OpenAlex

Comprehensive multi-resolution pathology assessment with surface-tracked scanning

David Brenes, Qinghua Han, Rui Wang (52434), Rauf Kareem et autres

Surgeons rely primarily on visual and tactile feedback to distinguish between malignant and healthy tissue during an operation, a subjective process that may result in positive margins. More than 20 % of breast surgeries and nearly 40 % of head‑and‑neck resections yield …

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0 citations
2025 article OpenAlex

NCCN Guidelines® Insights: Breast Cancer, Version 5.2025

William John Gradishar, Meena S. Moran, Jame Abraham, Vandana Gupta Abramson et autres

The treatment landscape of invasive early-stage and metastatic breast cancer is evolving constantly. These NCCN Guidelines Insights focus on recent updates included in the most recent version (version 5.2025) of the NCCN Guidelines for Breast Cancer specific to workup, locoregional therapy, surveillance, …

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80 citations Journal of the National Comprehensive Cancer Network
2025 conference-abstract OpenAlex

Abstract 4517: Comprehensive intraoperative imaging of surgical margins with AI-driven open-top light-sheet microscopy

David Brenes, Qinghua Han, Ruikang K. Wang, Michael C. Topf et autres

Abstract Surgeons rely on subjective visual and tactile feedback to differentiate tumors from adjacent normal tissue, which lacks accuracy and may make complete resection challenging. Over 20% of breast and 40% of head & neck cancer surgeries yield positive margins—cancerous cells at …

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0 citations Cancer Research
Accès ouvert 2025 article OpenAlex

MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial)

Kalina P. Slavkova, Ruya Kang, Anum S. Kazerouni, Debosmita Biswas et autres

Models using clinical and MRI-based radiomic features identified from ductal carcinoma in situ lesions improved prediction of disease upstaging at surgery compared with standard clinical information alone.

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3 citations Radiology

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