A5090879728- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Breast Lesions and Carcinomas
- AI in cancer detection
- Global Cancer Incidence and Screening
- Breast Cancer Treatment Studies
- Advanced MRI Techniques and Applications
- Digital Radiography and Breast Imaging
- Intensive Care Unit Cognitive Disorders
- Information and Cyber Security
- Global Peace and Security Dynamics
- Lanthanide and Transition Metal Complexes
- Lung Cancer Diagnosis and Treatment
- Social and Educational Sciences
- Family and Patient Care in Intensive Care Units
- Radiation Dose and Imaging
- Music Therapy and Health
The University of Texas MD Anderson Cancer Center
2019-2024
Vanderbilt University Medical Center
2022
Background Dynamic contrast‐enhanced (DCE) MRI is useful for diagnosis and assessment of treatment response in breast cancer. Fast DCE offers a higher sampling rate contrast enhancement curves comparison to conventional MRI, potentially characterizing tumor perfusion kinetics more accurately measurement functional volume (FTV) as predictor response. Purpose To investigate FTV by fast neoadjuvant systemic therapy (NAST) triple‐negative cancer (TNBC). Study Type Prospective....
To evaluate the performance of a biopsy decision support algorithmic model, intelligent-augmented breast cancer risk calculator (iBRISK), on multicenter patient dataset.
Abstract Probability of malignancy (POM) for Breast Imaging Reporting and Data System (BI-RADS) category 4 designated breast lesions ranges from 2% – 95% contributes to a high unnecessary biopsy rate. This is as most clinicians often stick the option rule in or out cancer early; withholding could be risky, biopsies BI-RADS serve quality metric performance standard. At 21.1%, biopsy-proven positive predictive value (PPV3) rates have not improved decades, translating false-positive...
To evaluate the association between retrospective peer review of breast magnetic resonance imaging-guided vacuum-assisted needle biopsies and positive predictive value subsequent biopsies.In January, 2015, a weekly conference was initiated in our institution to all performed over January 1, 2014-December 31, 2015. During this conferences, dynamic contrast-enhanced imaging findings 6 anonymized cases were discussed then faculty voted on whether they agree with biopsy indication, accurate...
Abstract Background and Purpose: There is currently lack of recognized imaging criteria for prediction treatment response to NAST in breast cancer patients. And early identification neoadjuvant systemic therapy (NAST) Triple Negative Breast Cancer (TNBC) patients important appropriate selection monitoring. A novel MRI sequence, Magnetic Resonance Image Compilation (MagIC) capable simultaneous quantitation several tissue water properties including longitudinal (T1), transverse (T2) relaxation...
Abstract Background and Purpose:Early accurate assessment ofbreast cancer response to NAST is important for patient management. In this study, we investigated the value of radiomic phenotypes derived from semi-quantitative quantitative DCE-MRI parametric maps early prediction NASTresponse in TNBC patients. MATERIALS AND METHODS:This IRB approved study included 74 patients with stage I-III who were enrolled prospective ARTEMIS trial (NCT02276443). Pathologic complete (pCR) non-pCR assessed by...
Abstract Introduction: BI-RADS category 4 is associated with a wide variability in probability of malignancy, ranging from 2 to 95% while biopsy-derived positive predictive value (PPV3) for this category’s lesions remains low at 21.1% the US. A major fallout these facts that we have way very high false rate leading too many unnecessary biopsies and their costs emotional burden. We improved our in-house intelligent-augmented Breast cancer RISK calculator (iBRISK), an integrated deep learning...
Abstract Background and Purpose: TNBC is comprised of biologically aggressive tumors with diverse clinical behavior response to chemotherapy. Prediction disease NACT critical the development personalized medicine in TNBC. We evaluated first-order radiomic features from quantitative ADC maps tumor peritumoral region as discriminators patients. Materials Methods: This IRB-approved prospective study (ARTEMIS trial, NCT02276443) included 34 patients biopsy proven stage I-III who underwent...
Abstract Introduction: Neoadjuvant chemotherapy (NACT) is becoming standard of care for presurgical treatment triple negative breast cancer (TNBC) patients. Achievement pathological complete response (pCR) after NACT associated with improved outcomes. There currently an unmet need in development imaging and clinical tools prediction pCR to TNBC. We investigated use deep learning convolution neural networks (CNNs) early a TNBC cohort on the basis MRI acquired before initiation at midpoint,...
Abstract Background: TNBC constitutes an aggressive and heterogeneous group of tumors with variable response to neoadjuvant therapy (NAT) that currently lacks clinically available profiling strategies for prediction. We aimed develop integrated model based on imaging, pathological clinical data capable predict NAT in early during therapy. METHOD AND MATERIALS:125 Stage I-III patients enrolled IRB approved prospective trial (NCT02276433) who had DCE-MRI at baseline (BL) post 2 cycles (C2)...
Abstract Background: Triple negative breast cancer (TNBC) has a poor prognosis. In particular, TNBC patients who have significant residual disease at the time of surgery following completion neoadjuvant systemic therapy (NST) an especially effort to identify are unlikely achieve pathologic complete response (pCR), we investigated if pre-treatment MRI morphological characteristics and imaging patterns during NST can predict pCR in patients. Materials Methods: As part prospective IRB-approved...
Abstract Introduction CEST MRI permits quantitation of macromolecules such as amide proteins that are interest in cancer metabolism. However, optimal acquisition and analysis methods remain undetermined. In this study, we investigated an imaging biomarker for early treatment response 51 TNBC patients receiving NAST compared the performance with two different saturation power levels methods. Methods A total stage I-III enrolled prospective ARTEMIS trial (NCT02276443) had performed on a 3T...
Abstract Background and Purpose:There is currently a lack of recognized imaging criteria for prediction treatment response to NAST in breast cancer patients with recent reports showing that MRI the most accurate modality evaluation response. DCE-MRI evaluates tumor perfusion influences enhancement at post-contrast subtraction images allows more measurement changes volume during NAST. In this study, we evaluated ability volumetric after 2 4 cycles by longitudinal ultrafast predict pathologic...