Carol C. Wu

Dr. Carol C. Wu


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2021 in Radiology
Verified
Journal Article
Open access
ETEmily B. Tsai
Emily B. Tsai
SSScott Simpson
Scott Simpson
MLMatthew P. Lungren
Matthew P. Lungren
MHMichelle Hershman
Michelle Hershman
LRLeonid Roshkovan
Leonid Roshkovan
CWCarol C. Wu
Carol C. Wu
The coronavirus disease 2019 (COVID-19) pandemic is a global healthcare emergency. Although reverse transcriptase polymerase chain reaction (RT-PCR) is the reference standard method to identify pat...

1 March 2021 in Radiology: Artificial Intelligence
Verified
Journal Article
Closed access
ECErrol Colak
Errol Colak
FKFelipe C. Kitamura
Felipe C. Kitamura
SHStephen B. Hobbs
Stephen B. Hobbs
CWCarol C. Wu
Carol C. Wu
MLMatthew P. Lungren
Matthew P. Lungren
DADataset Curation Contributors For The Rsna-Str Annotators
Dataset Curation Contributors For The Rsna-Str Annotators
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review ...

1 January 2017 in American Journal of Roentgenology
Verified
Journal Article
Closed access
YCYing Chen
Ying Chen
MGMatthew D. Gilman
Matthew D. Gilman
KHKathryn L. Humphrey
Kathryn L. Humphrey
GSGloria M. Salazar
Gloria M. Salazar
ASAmita Sharma
Amita Sharma
CWCarol C. Wu
Carol C. Wu
OBJECTIVE. The purpose of this study was to analyze the clinical and CT features of pulmonary artery pseudoaneurysms (PAPs). MATERIALS AND METHODS. A database search of chest CT examinations performed from January 1, 2000 to December 31, 2014 identified 24 patients with findings consistent with PAPs. A CT finding consistent with a PAP was defined as a focal saccular outpouching of a pulmonary artery. Medical records were reviewed to determine clinical presentations, treatments, and outcomes. CT scans were reviewed by two board-certified fellowship-trained chest radiologists. RESULTS. A total of 35 PAPs were identified in 24 patients. Hemoptysis and shortness of breath were the most common presenting symptoms. The most commonly identified causes of PAPs were infection (33%), neoplasms (13%), and trauma (17%). Of the 35 PAPs, 29 (83%) were located in segmental or subsegmental pulmonary arteries. A solitary PAP was identified in 20 (83%) patients, and multiple PAPs were identified in three patients with endo...

11 April 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
SSSheeba Jenifer Sujit
Sheeba Jenifer Sujit
MAMuhammad Aminu
Muhammad Aminu
TKTatiana V. Karpinets
Tatiana V. Karpinets
Pingjun ChenPingjun Chen
Pingjun Chen
MSMaliazurina B. Saad
Maliazurina B. Saad
Jia WuJia Wu
Jia Wu
While we recognize the prognostic importance of clinicopathological measures and circulating tumor DNA (ctDNA), the independent contribution of quantitative image markers to prognosis in non-small cell lung cancer (NSCLC) remains underexplored. In our multi-institutional study of 394 NSCLC patients, we utilize pre-treatment computed tomography (CT) and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) to establish a habitat imaging framework for assessing regional heterogeneity within individual tumors. This framework identifies three PET/CT subtypes, which maintain prognostic value after adjusting for clinicopathologic risk factors including tumor volume. Additionally, these subtypes complement ctDNA in predicting disease recurrence. Radiogenomics analysis unveil the molecular underpinnings of these imaging subtypes, highlighting downregulation in interferon alpha and gamma pathways in the high-risk subtype. In summary, our study demonstrates that these habitat imaging subtypes effectively stratify NSCLC patients based on their risk levels for disease recurrence after initial curative surgery or radiotherapy, providing valuable insights for personalized treatment approaches.

1 May 2024 in Radiology
Verified
Journal Article
Closed access
YZYiliang Zhou
Yiliang Zhou
HOHanley Ong
Hanley Ong
PKPatrick Kennedy
Patrick Kennedy
CWCarol C. Wu
Carol C. Wu
JKJacob Kazam
Jacob Kazam
YPYifan Peng
Yifan Peng
This study examined the application of GPT-4 with vision (GPT-4V), a multimodal large language model with visual recognition, in detecting radiologic findings from a set of 100 chest radiographs and suggests that GPT-4V is currently not ready for real-world diagnostic usage in interpreting chest radiographs.

9 December 2022 in Journal of the American College of Radiology
Verified
Journal Article
Closed access
DDDebra S. Dyer
Debra S. Dyer
CWCharles White
Charles White
CTCarey Conley Thomson
Carey Conley Thomson
MGMichael R. Gieske
Michael R. Gieske
JKJeffrey P. Kanne
Jeffrey P. Kanne
EKElla A. Kazerooni
Ella A. Kazerooni