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Deep learning for semi-automated unidirectional measurement of lung tumor size in CT
BackgroundPerforming Response Evaluation Criteria in Solid Tumor (RECISTS) measurement is a non-trivial task requiring much expertise and time. A...
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Almonertinib-induced interstitial lung disease in a lung adenocarcinoma patient complicated with interstitial lung abnormality
BackgroundWith the use of targeted drugs in lung cancer patients, targeted drug-induced interstitial lung disease (ILD) has attracted more and more...
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Digital Breast Tomosynthesis: an Overview
Breast cancer is emerging as the most common malignancy in Indian women. Mammography is one of the few screening modalities available to the modern...
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Unusual presentation of lepidic adenocarcinoma in a healthy female
BackgroundLepidic adenocarcinoma represents a histologic pattern of non-small cell lung cancer that characteristically arises in the lung periphery...
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Optimization of Formaldehyde Fixative Concentration for Individual Blood Cells to Develop a Stabilized Blood Control for Automated Hematology Analyzers
In a modern haematology laboratory, the complete and differential counts of blood are performed using complex haematology auto analyzers. In order to...
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Clinical Relevance and Practical Approach for Challenging Rectal Cancer MRI Findings
Purpose of ReviewMRI is the standard of care for clinical staging of rectal cancer, but has limitations. The purpose of this review is to describe...
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The Positive Predictive Values of the Breast Imaging Reporting and Data System (BI-RADS) 4 Lesions and its Mammographic Morphological Features
The Breast Imaging Reporting and Data System (BI-RADS) is a comprehensive guideline to systematize breast imaging reporting, and as per its...
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Best Practice Approaches to Breast Radiology–Pathology Correlation and Management
Purpose of ReviewImage-guided percutaneous breast biopsy has become the gold standard for diagnosis of breast lesions. The radiologist’s role in...
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Accuracy of different sonomammographic imaging modalities in assessment of breast tumor size
BackgroundAccurate breast cancer size is crucial for staging and an important prognostic factor in patient management. Therapeutic decisions heavily...
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Development and application of an electronic synoptic report for reporting and management of low-dose computed tomography lung cancer screening examination
BackgroundInterpretation of Low Dose CT scans and protocol driven management of findings is a key aspect of lung cancer screening program...
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Association of Surgical Timing with Outcomes in Early Stage Lung Cancer
BackgroundOptimal time to surgery for lung cancer is not well established. We aimed to assess whether time to surgery correlates with outcomes.
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Intramammary Metastases from Extramammary Malignancies: An Update
Purpose of ReviewMetastases to the breast (intramammary metastases, IM) from extramammary malignancies (EM) are uncommon. As prognosis is poor,...
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Imaging of Gastrointestinal Stromal Tumors
Purpose of ReviewIn this paper, we review gastrointestinal stromal tumors (GISTs), including their clinical presentation, pathology, staging and...
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Magnetic resonance imaging in diagnosis of indeterminate breast (BIRADS 3 & 4A) in a general population
ObjectiveCurrently, mammography and ultrasonography are the most used imaging techniques for breast cancer screening. However, these examinations...
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Adenocarcinoma of the lung: from BAC to the future
Adenocarcinoma in situ, minimally invasive adenocarcinoma, lepidic predominant adenocarcinoma and invasive mucinous adenocarcinoma are relatively new...
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Constructing the Optimal Classification Model for Benign and Malignant Breast Tumors Based on Multifeature Analysis from Multimodal Images
The purpose of this study was to fuse conventional radiomic and deep features from digital breast tomosynthesis craniocaudal projection (DBT-CC) and...
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Interobserver variability in MRI measurements of mesorectal invasion depth in rectal cancer
ProposeTo assess the interobserver variability in MRI measurements of mesorectal invasion depth (MID) in rectal adenocarcinomas primarily staged as...
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Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts
ObjectivesTo analyze the performance of deep learning in isodense/obscure masses in dense breasts. To build and validate a deep learning (DL) model...
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Dark blood cardiovascular magnetic resonance of the heart, great vessels, and lungs using electrocardiographic-gated three-dimensional unbalanced steady-state free precession
BackgroundRecently, we reported a novel neuroimaging technique, unbalanced T1 Relaxation-Enhanced Steady-State (uT 1 RESS), which uses a tailored 3D...
