Trial reportThe Journal of surgical research2013
Three-dimensional quantitative ultrasound for detecting lymph node metastases.
Trial report in The Journal of surgical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The trial behind it
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Who cites it
20 citing papers in PubMed.
- Reimagining Nodal Staging in Colorectal Cancer: Toward a Novel Non-Invasive Imaging Approach.Cancers · 2026Review
- Assessing the benefits of using plane wave compounding when estimating backscatter coefficients with an in situ bead as a calibration target.The Journal of the Acoustical Society of America · 2026Article
- Random Forest-Based Detection of Metastases in Clinically Scanned Lymph Nodes Using Quantitative Ultrasound Imaging.Ultrasound in medicine & biology · 2025Article
- Deep-Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT).IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025Article
- Attenuation Estimation and Acoustic Characterization of Mouse Lymph Node Tumor Using High-frequency Ultrasound.Molecular imaging and biology · 2025Article
- Angular spatial compounding of diffraction corrected images improves ultrasound attenuation measurements.The Journal of the Acoustical Society of America · 2025Article
- Sensorless End-to-End Freehand 3-D Ultrasound Reconstruction With Physics-Guided Deep Learning.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Article
- In Vivo Validation of an In Situ Calibration Bead as a Reference for Backscatter Coefficient Calculation.Ultrasound in medicine & biology · 2024Article
- Spectral-based Quantitative Ultrasound Imaging Processing Techniques: Comparisons of RF Versus IQ Approaches.Ultrasonic imaging · 2024Article
- Simulation of ultrasonic scattering from scatterer size distributions using Field II.The Journal of the Acoustical Society of America · 2024Article
- Review
- Backscatter properties of two-layer phantoms using a high-frequency ultrasound annular array.Japanese journal of applied physics (2008) · 2022Article
- Quantitative Evaluation of Hepatic Steatosis Using Advanced Imaging Techniques: Focusing on New Quantitative Ultrasound Techniques.Korean journal of radiology · 2022Review
- Article
- Current Clinical and Pre-Clinical Imaging Approaches to Study the Cancer-Associated Immune System.Frontiers in immunology · 2021Review
- Improved evaluation of backscatter characteristics of soft tissue using high-frequency annular array.Japanese journal of applied physics (2008) · 2020Article
- Article
- Effects of Signal Saturation on QUS Parameter Estimates Based on High-Frequency-Ultrasound Signals Acquired From Isolated Cancerous Lymph Nodes.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2017Article
- Segmentation of 3-D High-Frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut With Energy Functional Adapted to Local Intensity Distribution.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2017Article
- Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2016Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeDetection of metastases in lymph nodes (LNs) is critical for cancer management. Conventional histological methods may miss metastatic foci. To date, no practical means of evaluating the entire LN volume exists. The aim of this study was to develop fast, reliable, operator-independent, high-frequency, quantitative ultrasound (QUS) methods for evaluating LNs over their entire volume to effectively detect LN metastases.
methodsWe scanned freshly excised LNs at 26 MHz and digitally acquired echo-signal data over the entire three-dimensional (3D) volume. A total of 146 LNs of colorectal, 26 LNs of gastric, and 118 LNs of breast cancer patients were enrolled. We step-sectioned LNs at 50-μm intervals and later compared them with 13 QUS estimates associated with tissue microstructure. Linear-discriminant analysis classified LNs as metastatic or nonmetastatic, and we computed areas (Az) under receiver-operator characteristic curves to assess classification performance. The QUS estimates and cancer probability values derived from discriminant analysis were depicted in 3D images for comparison with 3D histology.
resultsOf 146 LNs of colorectal cancer patients, 23 were metastatic; Az = 0.952 ± 0.021 (95% confidence interval [CI]: 0.911-0.993); sensitivity = 91.3% (specificity = 87.0%); and sensitivity = 100% (specificity = 67.5%). Of 26 LNs of gastric cancer patients, five were metastatic; Az = 0.962 ± 0.039 (95% CI: 0.807-1.000); sensitivity = 100% (specificity = 95.3%). A total of 17 of 118 LNs of breast cancer patients were metastatic; Az = 0.833 ± 0.047 (95% CI: 0.741-0.926); sensitivity = 88.2% (specificity = 62.5%); sensitivity = 100% (specificity = 50.5%). 3D cancer probability images showed good correlation with 3D histology.
conclusionsThese results suggest that operator- and system-independent QUS methods allow reliable entire-volume LN evaluation for detecting metastases. 3D cancer probability images can help pathologists identify metastatic foci that could be missed using conventional methods.
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