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Articles by Lars Egevad
Comparative analysis of end-to-end learning and foundation models for clinical-grade prostate pathology
Abstract Foundation models (FMs) using self-supervised pre-training are widely advocated as a universal solution for pathology, yet their advantages over task-specific (TS) models remain unclear. Here we show, using over 100,000 prostate biopsies from 6268 patients across 15 sites, that while FMs demonstrate utility in data-scarce scenarios, their performance converges with—and is in some cases surpassed by—TS models with sufficient labeled training data.
Multimodal AI refines EAU risk stratification in patients undergoing radiotherapy for prostate cancer
Abstract The European Association of Urology (EAU) risk groups guide treatment decisions in prostate cancer using prostate-specific antigen (PSA), ISUP grade, and clinical stage, but do not incorporate histopathological image information.
The impact of tissue detection on diagnostic artificial intelligence algorithms in prostate digital pathology
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Abstract Tissue detection is a crucial first step in most digital pathology applications. By applying image segmentation algorithms, all tissue is delineated and background discarded from further analyses, improving both computational efficiency and analytical results. Details of the segmentation algorithm are rarely reported, and there is a lack of studies investigating the downstream effects of a poor segmentation algorithm.
By Sol Erika Boman, Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Einar Gudlaugsson, Emiel Janssen, Svein R. Kjosavik, José Asenjo, Marcin Braun, Radzislaw Kordek, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Lars Egevad, Kimmo Kartasalo, Marcello Gambacorta, Kristina Hotakainen, Päivi Väre
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Nature
Verified
The Role of Artificial Intelligence in the Evaluation of Prostate Pathology
1 Background In recent years, artificial intelligence (AI) has rapidly made its way into many forms of innovative technology, that is, in the process of transforming our everyday life. The practice of medicine is no exception. While there is considerable hope that AI will both facilitate and improve the quality of healthcare, there is also a fear that doctors will lose control over the decision-making process and in the end possibly also lose their employment [1].
Time trends in Gleason score distribution among Gleason score 8 and 9-10 cancers
Time trends in Gleason score distribution among Gleason score 8 and 9–10 cancers Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways. View Full Text Read the full text or download the PDF: Read the full text or download the PDF:
Use of the ISUP e-learning module improves interrater reliability in prostate cancer grading
Abstract Aims Prostate cancer (PCa) grading is an important prognostic parameter, but is subject to considerable observer variation. Previous studies have shown that interobserver variability decreases after participants were trained using an e-learning module. However, since the publication of these studies, grading of PCa has been enhanced by adopting the International Society of Urological Pathology (ISUP) 2014 grading classification.
Web‐grading-a tool to test personal grading of renal and prostate cancer
BD Brett Delahunt GK Glen Kristiansen HJT Hans-Jürgen Thiesen HS Hemamali Samaratunga KI Kaan Inam LE Lars Egevad MS Matthias Schmid MV Murali Varma YD Yulin Dai The histological grading of a tumor aims to stratify its biological aggressiveness into reproducible prognostic categories. The assignment of a tumor grade is an important task for pathologists, as this often directly impacts therapy planning [1-3]. The grading of a tumor requires an analysis of morphological features.
Prostate Cancer Screening with PSA and MRI Followed by Targeted Biopsy Only
Abstract Background Screening for prostate cancer is burdened by a high rate of overdiagnosis. The most appropriate algorithm for population-based screening is unknown. Methods We invited 37,887 men who were 50 to 60 years of age to undergo regular prostate-specific antigen (PSA) screening.
Use of the ISUP e-learning module improves interrater reliability in prostate cancer grading
http://orcid.org/0000-0002-4448-2895Rachel N Flach1, Lars Egevad2, Martin Eklund3, http://orcid.org/0000-0001-8640-5786Theodorus H van der Kwast4, http://orcid.org/0000-0002-5398-0300Brett Delahunt5, http://orcid.org/0000-0001-5796-1791Hemamali Samaratunga6, http://orcid.org/0000-0002-7155-3337Britt B M Suelmann7, Peter-Paul M Willemse1, Richard P Meijer1, http://orcid.org/0000-0003-0658-2745Paul J van Diest8 1Department of Oncological Urology, UMC Utrecht, Utrecht, The Netherlands...
Low‐grade prostate cancer should still be labelled cancer
No abstract is available for this article. Supporting Information Filename Description bju15886-sup-0001-supinfo.docxWord 2007 document , 14.1 KB Appendix S1 Survey monkey question for ISUP membership. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Re: Valentin H. Meissner, Isabel Rauscher, Kristina Schwamborn, et al. Radical Prostatectomy Without Prior Biopsy Following Multiparametric Magnetic Resonance Imaging and Prostate-specific Membrane Antigen Positron Emission Tomography. Eur Urol. In press.
Meissner et al. [ [1] Meissner VH, Rauscher I, Schwamborn K, et al. Radical prostatectomy without prior biopsy following multiparametric magnetic resonance imaging and prostate-specific membrane antigen positron emission tomography. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2021.11.019. ] report a case series in which radical prostatectomy (RP) was performed without prior histological confirmation of cancer on biopsy.
Prostate cancer grading, time to go back to the future
In November 2014, the International Society of Urological Pathology (ISUP) convened a consensus meeting in Chicago, Illinois, USA to consider grading criteria for prostatic adenocarcinoma [1]. The primary purpose and main outcome of this meeting was a recommendation that, not only should the Gleason score of prostate cancer be reported, but that grading should also incorporate a five‐tier grade based on a grouping of Gleason scores.
Common benign mimics of prostate cancer
Abstract A challenge in the diagnosis of prostate pathology is the numerous benign mimics of prostatic adenocarcinoma. Most of these lesions have no clinical significance but may be misinterpreted as cancer in biopsy specimens. In this review we describe the features of some of the more common benign mimics and discuss how they can be distinguished from carcinoma.
Perivascular Neuropilin‐1 expression is an independent marker of improved survival in renal cell carcinoma
Original Paper Elin Sjöberg Corresponding Author E-mail address: elin.sjoberg@igp.uu.se Dept. of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden Correspondence to: Elin Sjöberg Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Science for Life Laboratory, Uppsala University, Dag Hammarskjölds väg 20, 751 85 Uppsala, Sweden.
The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential
After removing intact PSA and including the HOXB13 SNP in the set of predictors, and fitting the S3M to more data, we estimated an AUC of 0.75 (95% CI 0.73–0.77) for predicting GS ≥7 prostate cancers, which is a slight improvement compared to the result reported by Grönberg et al (AUC 0.74, 95% CI 0.72–0.75). From Table 2, Table 4 it is evident that the collection of predictors together is beneficial for reducing unnecessary biopsies.
Evaluation of the 2015 Gleason Grade Groups in a Nationwide Population-based Cohort
By: Stacy Loeba⁎, Yasin Folkvaljonb, David Robinsonc, Ingela Franck Lissbrantd, Lars Egevade and Pär Stattincf European Urology, Volume 69 Issue 6, June 2016, Pages 1135-1141 Published online: 01 June 2016 Keywords: Prostate cancer, Gleason grade, Pathology, ISUP, Epstein Patient Summary The new Gleason grade groups, ranging from 1–5, provide a simplified, user-friendly classification system to predict the risk of recurrence after prostatectomy and radiation therapy.
Intraductal carcinoma of prostate reporting practice: a survey of expert European uropathologists
Background It is unclear whether the reported variation in the diagnosis of intraductal carcinoma of the prostate (IDC-P) is due to variable interpretation of borderline morphology, use of different diagnostic criteria or both. Results Criteria used for diagnosis of IDC-P included solid intraductal growth (100%), dense cribriform (96%), loose cribriform/micropapillary with nuclear size >6× normal (83%) or comedonecrosis (74%) and dilated ducts >2× normal (39%).
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