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Hiroyuki Abe to Breast Neoplasms

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This is a "connection" page, showing publications Hiroyuki Abe has written about Breast Neoplasms.
Hiroyuki Abe
Connection Strength
5.793
Breast Neoplasms
  1. Reply to "Differentiating Benign Lesions From Areas of Malignant Nonmass Enhancement With MRI". AJR Am J Roentgenol. 2021 01; 216(1):W8.
    View in: PubMed
    Score: 0.295
  2. Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images. BMC Med Imaging. 2020 06 09; 20(1):61.
    View in: PubMed
    Score: 0.284
  3. Nonmass Enhancement Breast Lesions: Diagnostic Performance of Kinetic Assessment on Ultrafast and Standard Dynamic Contrast-Enhanced MRI in Comparison With Morphologic Evaluation. AJR Am J Roentgenol. 2020 08; 215(2):511-518.
    View in: PubMed
    Score: 0.283
  4. Fast Temporal Resolution Dynamic Contrast-Enhanced MRI: Histogram Analysis Versus Visual Analysis for Differentiating Benign and Malignant Breast Lesions. AJR Am J Roentgenol. 2018 10; 211(4):933-939.
    View in: PubMed
    Score: 0.249
  5. Abbreviated MRI and Accelerated MRI for Screening and Diagnosis of Breast Cancer. Top Magn Reson Imaging. 2017 Oct; 26(5):183-189.
    View in: PubMed
    Score: 0.235
  6. Value of breast MRI for patients with a biopsy showing atypical ductal hyperplasia (ADH). J Magn Reson Imaging. 2017 12; 46(6):1738-1747.
    View in: PubMed
    Score: 0.226
  7. Kinetic Analysis of Benign and Malignant Breast Lesions With Ultrafast Dynamic Contrast-Enhanced MRI: Comparison With Standard Kinetic Assessment. AJR Am J Roentgenol. 2016 Nov; 207(5):1159-1166.
    View in: PubMed
    Score: 0.218
  8. MRI phenotype of breast cancer: Kinetic assessment for molecular subtypes. J Magn Reson Imaging. 2015 Oct; 42(4):920-4.
    View in: PubMed
    Score: 0.197
  9. Diffusion weighted images of metastatic as compared with nonmetastatic axillary lymph nodes in patients with newly diagnosed breast cancer. J Magn Reson Imaging. 2015 Sep; 42(3):771-8.
    View in: PubMed
    Score: 0.194
  10. Importance of a personal history of breast cancer as a risk factor for the development of subsequent breast cancer: results from screening breast MRI. AJR Am J Roentgenol. 2014 Feb; 202(2):289-92.
    View in: PubMed
    Score: 0.183
  11. Decision making for breast lesions initially detected at contrast-enhanced breast MRI. AJR Am J Roentgenol. 2013 Dec; 201(6):1376-85.
    View in: PubMed
    Score: 0.180
  12. Accuracy of axillary lymph node staging in breast cancer patients: an observer-performance study comparison of MRI and ultrasound. Acad Radiol. 2013 Nov; 20(11):1399-404.
    View in: PubMed
    Score: 0.179
  13. Breast cancer detected on an incident (second or subsequent) round of screening MRI: MRI features of false-negative cases. AJR Am J Roentgenol. 2013 Nov; 201(5):1155-63.
    View in: PubMed
    Score: 0.179
  14. Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg. 2013 Nov; 8(6):895-903.
    View in: PubMed
    Score: 0.172
  15. Utility of preoperative ultrasound for predicting pN2 or higher stage axillary lymph node involvement in patients with newly diagnosed breast cancer. AJR Am J Roentgenol. 2013 Mar; 200(3):696-702.
    View in: PubMed
    Score: 0.171
  16. Comparing post-operative human breast specimen radiograph and MRI in lesion margin and volume assessment. J Appl Clin Med Phys. 2012 Nov 08; 13(6):3802.
    View in: PubMed
    Score: 0.168
  17. MR-directed ("Second-Look") ultrasound examination for breast lesions detected initially on MRI: MR and sonographic findings. AJR Am J Roentgenol. 2010 Feb; 194(2):370-7.
    View in: PubMed
    Score: 0.138
  18. Axillary lymph nodes suspicious for breast cancer metastasis: sampling with US-guided 14-gauge core-needle biopsy--clinical experience in 100 patients. Radiology. 2009 Jan; 250(1):41-9.
    View in: PubMed
    Score: 0.127
  19. US-guided core needle biopsy of axillary lymph nodes in patients with breast cancer: why and how to do it. Radiographics. 2007 Oct; 27 Suppl 1:S91-9.
    View in: PubMed
    Score: 0.118
  20. Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2024 Mar; 51(3):1812-1821.
    View in: PubMed
    Score: 0.088
  21. Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding. BMC Med Imaging. 2022 09 29; 22(1):171.
    View in: PubMed
    Score: 0.083
  22. Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
    View in: PubMed
    Score: 0.083
  23. Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Acad Radiol. 2022 10; 29(10):1469-1479.
    View in: PubMed
    Score: 0.080
  24. Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response. Radiology. 2021 11; 301(2):295-308.
    View in: PubMed
    Score: 0.077
  25. High-Resolution Full-3D Specimen Imaging for Lumpectomy Margin Assessment in Breast Cancer. Ann Surg Oncol. 2021 Oct; 28(10):5513-5524.
    View in: PubMed
    Score: 0.077
  26. Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer. 2021 Sep; 28(5):1141-1153.
    View in: PubMed
    Score: 0.075
  27. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 2019 Jul 15; 19(1):48.
    View in: PubMed
    Score: 0.067
  28. Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. Br J Radiol. 2019 Nov; 92(1103):20190302.
    View in: PubMed
    Score: 0.067
  29. Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial. J Magn Reson Imaging. 2019 06; 49(6):1617-1628.
    View in: PubMed
    Score: 0.063
  30. Ultrafast Dynamic Contrast-Enhanced Breast MRI: Kinetic Curve Assessment Using Empirical Mathematical Model Validated with Histological Microvessel Density. Acad Radiol. 2019 07; 26(7):e141-e149.
    View in: PubMed
    Score: 0.063
  31. Diagnostic value of electric properties tomography (EPT) for differentiating benign from malignant breast lesions: comparison with standard dynamic contrast-enhanced MRI. Eur Radiol. 2019 Apr; 29(4):1778-1786.
    View in: PubMed
    Score: 0.063
  32. Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial. Radiology. 2018 12; 289(3):618-627.
    View in: PubMed
    Score: 0.063
  33. Intensive Surveillance with Biannual Dynamic Contrast-Enhanced Magnetic Resonance Imaging Downstages Breast Cancer in BRCA1 Mutation Carriers. Clin Cancer Res. 2019 03 15; 25(6):1786-1794.
    View in: PubMed
    Score: 0.063
  34. Lymph node wire localization post-chemotherapy: Towards improving the false negative sentinel lymph node biopsy rate in breast cancer patients. Clin Imaging. 2018 Mar - Apr; 48:69-73.
    View in: PubMed
    Score: 0.059
  35. Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T. J Magn Reson Imaging. 2017 11; 46(5):1341-1348.
    View in: PubMed
    Score: 0.057
  36. Gadobutrol-Enhanced Magnetic Resonance Imaging of the Breast in the Preoperative Setting: Results of 2 Prospective International Multicenter Phase III Studies. Invest Radiol. 2016 07; 51(7):454-61.
    View in: PubMed
    Score: 0.054
  37. Ultrafast Bilateral DCE-MRI of the Breast with Conventional Fourier Sampling: Preliminary Evaluation of Semi-quantitative Analysis. Acad Radiol. 2016 09; 23(9):1137-44.
    View in: PubMed
    Score: 0.054
  38. Comparison of dynamic contrast-enhanced MRI parameters of breast lesions at 1.5 and 3.0?T: a pilot study. Br J Radiol. 2015 May; 88(1049):20150021.
    View in: PubMed
    Score: 0.049
  39. Evaluation of Kinetic Entropy of Breast Masses Initially Found on MRI using Whole-lesion Curve Distribution Data: Comparison with the Standard Kinetic Analysis. Eur Radiol. 2015 Aug; 25(8):2470-8.
    View in: PubMed
    Score: 0.049
  40. Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era. Eur J Radiol. 2015 Mar; 84(3):392-397.
    View in: PubMed
    Score: 0.048
  41. Intratumoral heterogeneity of the distribution of kinetic parameters in breast cancer: comparison based on the molecular subtypes of invasive breast cancer. Breast Cancer. 2015 Sep; 22(5):496-502.
    View in: PubMed
    Score: 0.045
  42. Axillary staging of breast cancer: what the radiologist should know. Radiographics. 2013 Oct; 33(6):1589-612.
    View in: PubMed
    Score: 0.045
  43. Observer study of a prototype clinical decision support system for breast cancer diagnosis using dynamic contrast-enhanced MRI. AJR Am J Roentgenol. 2013 Feb; 200(2):277-83.
    View in: PubMed
    Score: 0.043
  44. A prospective study of the utility of magnetic resonance imaging in determining candidacy for partial breast irradiation. Int J Radiat Oncol Biol Phys. 2013 Mar 01; 85(3):615-22.
    View in: PubMed
    Score: 0.041
  45. Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images. Acad Radiol. 2011 Dec; 18(12):1467-74.
    View in: PubMed
    Score: 0.039
  46. Evaluation of objective similarity measures for selecting similar images of mammographic lesions. J Digit Imaging. 2011 Feb; 24(1):75-85.
    View in: PubMed
    Score: 0.037
  47. Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study. Radiology. 2011 Mar; 258(3):696-704.
    View in: PubMed
    Score: 0.037
  48. Characterizing early contrast uptake of ductal carcinoma in situ with high temporal resolution dynamic contrast-enhanced MRI of the breast: a pilot study. Phys Med Biol. 2010 Oct 07; 55(19):N473-85.
    View in: PubMed
    Score: 0.036
  49. Breast cancers not detected at MRI: review of false-negative lesions. AJR Am J Roentgenol. 2010 Jun; 194(6):1674-9.
    View in: PubMed
    Score: 0.035
  50. Multi-modality morphological correlation of axillary lymph nodes. Int J Comput Assist Radiol Surg. 2010 Jul; 5(4):343-50.
    View in: PubMed
    Score: 0.035
  51. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. Radiology. 2009 Dec; 253(3):625-31.
    View in: PubMed
    Score: 0.034
  52. Clinical implementation of a multislice high spectral and spatial resolution-based MRI sequence to achieve unilateral full-breast coverage. Magn Reson Imaging. 2010 Jan; 28(1):16-21.
    View in: PubMed
    Score: 0.033
  53. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys. 2008 Jul; 35(7):3102-9.
    View in: PubMed
    Score: 0.031
  54. Pure ductal carcinoma in situ: kinetic and morphologic MR characteristics compared with mammographic appearance and nuclear grade. Radiology. 2007 Dec; 245(3):684-91.
    View in: PubMed
    Score: 0.030
  55. Fat suppression with spectrally selective inversion vs. high spectral and spatial resolution MRI of breast lesions: qualitative and quantitative comparisons. J Magn Reson Imaging. 2006 Dec; 24(6):1311-5.
    View in: PubMed
    Score: 0.028
  56. Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI. Magn Reson Imaging. 2007 Jun; 25(5):593-603.
    View in: PubMed
    Score: 0.028
  57. High spectral and spatial resolution MRI of breast lesions: preliminary clinical experience. AJR Am J Roentgenol. 2006 Jan; 186(1):30-7.
    View in: PubMed
    Score: 0.026
  58. Cross-sectional relatedness between sentences in breast radiology reports: development of an SVM classifier and evaluation against annotations of five breast radiologists. J Digit Imaging. 2013 Oct; 26(5):977-88.
    View in: PubMed
    Score: 0.011
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The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.