PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Pathology and Translational Medicine10.4132/jptm.2015.12.242016502129-137Interobserver Variability of Ki-67 Measurement in Breast CancerYul Ri Chung, Min Hye Jang, So Yeon Park, Gyungyub Gong, Woo-Hee Jung, http://www.jpatholtm.org/upload/pdf/jptm-2015-12-24.pdf, http://www.jpatholtm.org/journal/view.php?doi=10.4132/jptm.2015.12.24, http://www.jpatholtm.org/upload/pdf/jptm-2015-12-24.pdf
Clinical Breast Cancer10.1016/j.clbc.2014.09.0052015151e35-e39Variability in Measuring the Ki-67 Labeling Index in Patients With Breast CancerShinya Yamamoto, Takashi Chishima, Yuka Mastubara, Shouko Adachi, Fumi Harada, Youko Toda, Hitoshi Arioka, Naoki Hasegawa, Yukio Kakuta, Kentaro Sakamakihttps://api.elsevier.com/content/article/PII:S1526820914001979?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1526820914001979?httpAccept=text/plain
Breast Cancer Research10.1186/bcr148520068S1Interpretation of mammographic breast microcalcification: interobserver variability between radiologists and mammographers and analysis of best mammographic predictors of histopathological outcomesLS Naidu, A Kukula, P Sentance, B Baxter, R Joneshttp://link.springer.com/content/pdf/10.1186/bcr1485.pdf, http://link.springer.com/article/10.1186/bcr1485/fulltext.html, http://link.springer.com/content/pdf/10.1186/bcr1485.pdf
Pathobiology10.1159/0003437952012803111-118An Intra- and Interobserver Reproducibility Analysis of the Ki-67 Proliferation Marker Assessment on Core Biopsies of Breast Cancer Patients and Its Potential Clinical ImplicationsAndrás Vörös, Erika Csörgő, Tibor Nyári, Gábor Csernihttps://www.karger.com/Article/Pdf/343795, https://www.karger.com/Article/Pdf/343795
Clinical Breast Cancer10.1016/j.clbc.2016.02.0052016164305-311Mammography, US, and MRI for Preoperative Prediction of Extensive Intraductal Component of Invasive Breast Cancer: Interobserver Variability and PerformancesHye Rin Kim, Hae Kyoung Jung, Kyung Hee Ko, So Jung Kim, Kyong Sik Leehttps://api.elsevier.com/content/article/PII:S1526820916300258?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1526820916300258?httpAccept=text/plain
Breast Cancer10.1007/s12282-013-0465-32013222153-160Interobserver variability of ultrasound elastography and the ultrasound BI-RADS lexicon of breast lesionsChang Suk Park, Sung Hun Kim, Na Young Jung, Jae Jung Choi, Bong Joo Kang, Hyun Seouk Junghttp://link.springer.com/content/pdf/10.1007/s12282-013-0465-3.pdf, http://link.springer.com/article/10.1007/s12282-013-0465-3/fulltext.html, http://link.springer.com/content/pdf/10.1007/s12282-013-0465-3
Breast Diseases: A Year Book Quarterly10.1016/s1043-321x(07)80050-6200718167Interobserver Agreement and Reproducibility in Classification of Invasive Breast Carcinoma: An NCI Breast Cancer Family Registry StudyD.L. Pagehttps://api.elsevier.com/content/article/PII:S1043321X07800506?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1043321X07800506?httpAccept=text/plain
Cancer Cytopathology10.1002/cncy.21473201412212914-920Interobserver reproducibility and accuracy of p16/Ki-67 dual-stain cytology in cervical cancer screeningNicolas Wentzensen, Barbara Fetterman, Diane Tokugawa, Mark Schiffman, Philip E. Castle, Shannon N. Wood, Eric Stiemerling, Nancy Poitras, Thomas Lorey, Walter Kinneyhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fcncy.21473, https://onlinelibrary.wiley.com/doi/full/10.1002/cncy.21473
Medical Physics10.1118/1.49554352016438Part14558-4564Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomicsAshirbani Saha, Lars J. Grimm, Michael Harowicz, Sujata V. Ghate, Connie Kim, Ruth Walsh, Maciej A. Mazurowskihttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1118%2F1.4955435, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1118%2F1.4955435, https://onlinelibrary.wiley.com/doi/full/10.1118/1.4955435
The Breast10.1016/j.breast.2020.03.005202051120-126Do YOU know the Ki-67 index of your breast cancer patients? Knowledge of your institution’s Ki-67 index distribution and its robustness is essential for decision-making in early breast cancerAngela Fischer Maranta, Simon Broder, Constanze Fritzsche, Michael Knauer, Beat Thürlimann, Wolfram Jochum, Thomas Ruhstallerhttps://api.elsevier.com/content/article/PII:S0960977620300849?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0960977620300849?httpAccept=text/plain