Inter- and intraobserver variability in the evaluation of dynamic breast cancer MRI

2006 ◽  
Vol 24 (6) ◽  
pp. 1316-1325 ◽  
Author(s):  
Mark J. Beresford ◽  
Anwar R. Padhani ◽  
N. Jane Taylor ◽  
Mei-Lin Ah-See ◽  
J. James Stirling ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Intraobserver Variability ◽  
Breast Cancer Mri

Segmentasi Citra Mri Menggunakan Deteksi Tepi Untuk Identifikasi Kanker Payudara

2017 ◽  
Vol 15 (2) ◽  
pp. 17 ◽  
Author(s):  
Ervina Varijki ◽  
Bambang Krismono Triwijoyo
Keyword(s):  
Breast Cancer ◽  
Edge Detection ◽  
Object Segmentation ◽  
Computation Time ◽  
Input Image ◽  
Boundary Line ◽  
Cancer Breast ◽  
Average Computation Time ◽  
Breast Cancer Mri ◽  
Image Format

One type of cancer that is capable identified using MRI technology is breast cancer. Breast cancer is still the leading cause of death world. therefore early detection of this disease is needed. In identifying breast cancer, a doctor or radiologist analyzing the results of magnetic resonance image that is stored in the format of the Digital Imaging Communication In Medicine (DICOM). It takes skill and experience sufficient for diagnosis is appropriate, andaccurate, so it is necessary to create a digital image processing applications by utilizing the process of object segmentation and edge detection to assist the physician or radiologist in identifying breast cancer. MRI image segmentation using edge detection to identification of breast cancer using a method stages gryascale change the image format, then the binary image thresholding and edge detection process using the latest Robert operator. Of the20 tested the input image to produce images with the appearance of the boundary line of each region or object that is visible and there are no edges are cut off, with the average computation time less than one minute.

scholarly journals Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors

2018 ◽  
Vol 45 (7) ◽  
pp. 3076-3085 ◽  
Author(s):  
Ashirbani Saha ◽  
Michael R. Harowicz ◽  
Maciej A. Mazurowski
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Mri

scholarly journals Application of Photoshop-based Image Analysis to Quantification of Hormone Receptor Expression in Breast Cancer

1997 ◽  
Vol 45 (11) ◽  
pp. 1559-1565 ◽  
Author(s):  
Hans-Anton Lehr ◽  
David A. Mankoff ◽  
David Corwin ◽  
Guiseppe Santeusanio ◽  
Allen M. Gown
Keyword(s):  
Breast Cancer ◽  
Image Analysis ◽  
Personal Computer ◽  
Hormone Receptor ◽  
Breast Cancer Diagnosis ◽  
Receptor Expression ◽  
Intraobserver Variability ◽  
Image Analysis System ◽  
Breast Cancers ◽  
Cell Nuclei

The benefit of quantifying estrogen receptor (ER) and progesterone receptor (PR) expression in breast cancer is well established. However, in routine breast cancer diagnosis, receptor expression is often quantified in arbitrary scores with high inter- and intraobserver variability. In this study we tested the validity of an image analysis system employing inexpensive, commercially available computer software on a personal computer. In a series of 28 invasive ductal breast cancers, immunohistochemical determinations of ER and PR were performed, along with biochemical analyses on fresh tumor homogenates, by the dextran-coated charcoal technique (DCC) and by enzyme immunoassay (EIA). From each immunohistochemical slide, three representative tumor fields (x20 objective) were captured and digitized with a Macintosh personal computer. Using the tools of Photoshop software, optical density plots of tumor cell nuclei were generated and, after background subtraction, were used as an index of immunostaining intensity. This immunostaining index showed a strong semilogarithmic correlation with biochemical receptor assessments of ER (DCC, r = 0.70, p >0.001; EIA, r = 0.76, p >0.001) and even better of PR (DCC, r = 0.86; p >0.01; EIA, r = 0.80, p >0.001). A strong linear correlation of ER and PR quantification was also seen between DCC and EIA techniques (ER, r = 0.62, p >0.001; PR, r = 0.92, p >0.001). This study demonstrates that a simple, inexpensive, commercially available software program can be accurately applied to the quantification of immunohistochemical hormone receptor studies. (J Histochem Cytochem 45:1559–1565, 1997)

scholarly journals New Screening Techniques for Breast Cancer (MRI)

1999 ◽  
Vol 15 (1-3) ◽  
pp. 115-116 ◽  
Author(s):  
Fiona J. Gilbert
Keyword(s):  
Breast Cancer ◽  
Screening Techniques ◽  
Breast Cancer Mri

scholarly journals Spontaneous regression of breast carcinoma: A radio-pathological case report and review of the literature

2020 ◽  
Vol 11 (SPL4) ◽  
pp. 1546-1550
Author(s):  
Marlina Tanty Ramli Hamid ◽  
Shamsiah Abdul Hamid ◽  
Nazimah Ab Mumin ◽  
Norliana Dalila Mohamad Ali ◽  
Khariah Mat Nor ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Spontaneous Regression ◽  
Region Of Interest ◽  
Herbal Remedies ◽  
Complete Regression ◽  
Axillary Lymph ◽  
Breast Cancers ◽  
Pet Ct ◽  
History Of ◽  
Breast Cancer Mri

Spontaneous regression (SR) is defined as complete or partial disappearance of a proven malignant tumor without adequate medical treatment. Although there have been reports on SR of breast cancers, this phenomenon remains rare. We report a case of SR of breast cancer in a 62-year-old woman who presented to our hospital with a few months history of a painless breast lump. Initial radiological investigations reveal a suspicious mass in the left upper outer quadrant. Histopathology confirms the presence of invasive cancer. The patient initially refused any surgical or medical interventional and defaulted follow-up. The patient presented again after four months with consent for surgical treatment. Repeat ultrasound just before the hook wire localization procedure demonstrated the absence of tumor in the region of interest. The subsequent repeat mammogram and MRI also demonstrated complete regression of breast cancer. MRI however, does reveal a suspicious left axillary lymph node, which was also deemed suspicious on PET-CT. In view of these findings, the patient was counsel for surgery. The exact mechanism of SR of cancer remains unclear in our patient. We are unable to identify the exact mechanism triggering and influencing the SR in our patient. Our hypotheses include substance within the herbal remedies or a carcinoma-directed immune response triggered by the biopsy. Further research is needed to determine causes for spontaneous regressions of cancer and towards finding a possible cure for cancer.

scholarly journals Triple-negative breast cancer: MRI features in 29 patients

2007 ◽  
Vol 18 (12) ◽  
pp. 2042-2043 ◽  
Author(s):  
J.-H. Chen ◽  
G. Agrawal ◽  
B. Feig ◽  
H.-M. Baek ◽  
P.M. Carpenter ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Mri Features ◽  
Breast Cancer Mri
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