S
Sophia Zackrisson
Researcher at Lund University
Publications - 167
Citations - 7062
Sophia Zackrisson is an academic researcher from Lund University. The author has contributed to research in topics: Breast cancer & Mammography. The author has an hindex of 29, co-authored 140 publications receiving 5490 citations. Previous affiliations of Sophia Zackrisson include Malmö University & University of Oslo.
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Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Elżbieta Senkus,Stella Kyriakides,Frédérique Penault-Llorca,P.M. Poortmans,Alexander J. Thompson,Sophia Zackrisson,Fatima Cardoso +6 more
TL;DR: This work presents the results of a meta-analysis conducted at the 2016 European Oncology and Radiotherapy Guidelines Working Group (ESMO) workshop on breast cancer diagnosis and prognosis of women with atypical central giant cell granuloma (CGM) who have previously had surgery.
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Light In and Sound Out: Emerging Translational Strategies for Photoacoustic Imaging
TL;DR: In this review, the basics of PAI and its recent advances in biomedical research are described, followed by a discussion of strategies for clinical translation of the technique.
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Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings.
Ingvar Andersson,Debra M. Ikeda,Sophia Zackrisson,Mark Ruschin,Mark Ruschin,Tony Svahn,Pontus Timberg,Anders Tingberg +7 more
TL;DR: The results indicate that the cancer visibility on BT is superior to DM, which suggests that BT may have a higher sensitivity for breast cancer detection.
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Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.
Alejandro Rodriguez-Ruiz,Kristina Lång,Albert Gubern-Mérida,Mireille J. M. Broeders,Gisella Gennaro,Paola Clauser,Thomas H. Helbich,Margarita Chevalier,Tao Tan,Thomas Mertelmeier,Matthew G. Wallis,Ingvar Andersson,Sophia Zackrisson,Ritse M. Mann,Ioannis Sechopoulos +14 more
TL;DR: The evaluated AI system achieved a cancer detection accuracy comparable to an average breast radiologist in this retrospective setting, although promising, the performance and impact of such a system in a screening setting needs further investigation.
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Rate of over-diagnosis of breast cancer 15 years after end of Malmö mammographic screening trial: follow-up study
TL;DR: Conclusions on over-diagnosis of breast cancer in the Malmö mammographic screening trial can be drawn mainly for women aged 55-69 years at randomisation whose control groups were never screened.