{"entity": "researcher", "timestamp": "2026-09-09T09:42:34.487Z", "family": "Str\u00f6m", "given": "Peter", "initials": "P", "orcid": "0000-0002-1631-806X", "affiliations": ["Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437"}}, "publications": [{"entity": "publication", "iuid": "a9d473ca72164e18a3db61d78fef3d7a", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/a9d473ca72164e18a3db61d78fef3d7a.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/a9d473ca72164e18a3db61d78fef3d7a"}}, "title": "Detection of perineural invasion in prostate needle biopsies with deep neural networks.", "authors": [{"family": "Kartasalo", "given": "Kimmo", "initials": "K", "orcid": "0000-0002-9470-4783", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7c6fc97c06ed456c8bdd1f03db8a9b72.json"}}, {"family": "Str\u00f6m", "given": "Peter", "initials": "P", "orcid": "0000-0002-1631-806X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437.json"}}, {"family": "Ruusuvuori", "given": "Pekka", "initials": "P", "orcid": "0000-0001-9086-9591", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/bb947cd395e84612a53569f4a39abd19.json"}}, {"family": "Samaratunga", "given": "Hemamali", "initials": "H"}, {"family": "Delahunt", "given": "Brett", "initials": "B", "orcid": "0000-0002-5398-0300", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/433a3f884f95451383cc746925d9a08c.json"}}, {"family": "Tsuzuki", "given": "Toyonori", "initials": "T", "orcid": "0000-0002-4855-4366", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/42c993c2c0ab4b50afa03134f70118d9.json"}}, {"family": "Eklund", "given": "Martin", "initials": "M", "orcid": "0000-0001-5032-5266", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/06721510ebc8462386e0e6fc6c84315b.json"}}, {"family": "Egevad", "given": "Lars", "initials": "L", "orcid": "0000-0001-8531-222X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a7d46f1f5fc047dc8edb910eb4f0645c.json"}}], "type": "journal article", "published": "2022-07-00", "journal": {"title": "Virchows Arch.", "issn": "1432-2307", "issn-l": "0945-6317", "volume": "481", "issue": "1", "pages": "73-82"}, "abstract": "The presence of perineural invasion (PNI) by carcinoma in prostate biopsies has been shown to be associated with poor prognosis. The assessment and quantification of PNI are, however, labor intensive. To aid pathologists in this task, we developed an artificial intelligence (AI) algorithm based on deep neural networks. We collected, digitized, and pixel-wise annotated the PNI findings in each of the approximately 80,000 biopsy cores from the 7406 men who underwent biopsy in a screening trial between 2012 and 2014. In total, 485 biopsy cores showed PNI. We also digitized more than 10% (n = 8318) of the PNI negative biopsy cores. Digitized biopsies from a random selection of 80% of the men were used to build the AI algorithm, while 20% were used to evaluate its performance. For detecting PNI in prostate biopsy cores, the AI had an estimated area under the receiver operating characteristics curve of 0.98 (95% CI 0.97-0.99) based on 106 PNI positive cores and 1652 PNI negative cores in the independent test set. For a pre-specified operating point, this translates to sensitivity of 0.87 and specificity of 0.97. The corresponding positive and negative predictive values were 0.67 and 0.99, respectively. The concordance of the AI with pathologists, measured by mean pairwise Cohen's kappa (0.74), was comparable to inter-pathologist concordance (0.68 to 0.75). The proposed algorithm detects PNI in prostate biopsies with acceptable performance. This could aid pathologists by reducing the number of biopsies that need to be assessed for PNI and by highlighting regions of diagnostic interest.", "doi": "10.1007/s00428-022-03326-3", "pmid": "35449363", "labels": {"Kimmo Kartasalo": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC9226086"}, {"db": "pii", "key": "10.1007/s00428-022-03326-3"}], "notes": [], "created": "2024-11-05T16:09:36.259Z", "modified": "2024-11-29T09:29:14.824Z"}, {"entity": "publication", "iuid": "90b36d42fc5b4fb98ab07730320e52f5", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/90b36d42fc5b4fb98ab07730320e52f5.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/90b36d42fc5b4fb98ab07730320e52f5"}}, "title": "Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge.", "authors": [{"family": "Bulten", "given": "Wouter", "initials": "W", "orcid": "0000-0002-6129-5039", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/f592c80c84c34a70971251c380a8578b.json"}}, {"family": "Kartasalo", "given": "Kimmo", "initials": "K", "orcid": "0000-0002-9470-4783", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7c6fc97c06ed456c8bdd1f03db8a9b72.json"}}, {"family": "Chen", "given": "Po-Hsuan Cameron", "initials": "PC", "orcid": "0000-0002-0083-4991", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/dd162c57871947aea109e009fc1d2daf.json"}}, {"family": "Str\u00f6m", "given": "Peter", "initials": "P", "orcid": "0000-0002-1631-806X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437.json"}}, {"family": "Pinckaers", "given": "Hans", "initials": "H"}, {"family": "Nagpal", "given": "Kunal", "initials": "K"}, {"family": "Cai", "given": "Yuannan", "initials": "Y"}, {"family": "Steiner", "given": "David F", "initials": "DF", "orcid": "0000-0003-1297-0023", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a209b0168a394a09bd0cfe9cd1e1934b.json"}}, {"family": "van Boven", "given": "Hester", "initials": "H"}, {"family": "Vink", "given": "Robert", "initials": "R"}, {"family": "Hulsbergen-van de Kaa", "given": "Christina", "initials": "C"}, {"family": "van der Laak", "given": "Jeroen", "initials": "J", "orcid": "0000-0001-7982-0754", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/188f689ad0304f28b42bc9d3dbf6a56e.json"}}, {"family": "Amin", "given": "Mahul B", "initials": "MB", "orcid": "0000-0001-5943-3634", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d7974058596e4429b0035f1eff340a4c.json"}}, {"family": "Evans", "given": "Andrew J", "initials": "AJ"}, {"family": "van der Kwast", "given": "Theodorus", "initials": "T", "orcid": "0000-0001-8640-5786", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/176f93a02e394a659619ae2ff57398e4.json"}}, {"family": "Allan", "given": "Robert", "initials": "R"}, {"family": "Humphrey", "given": "Peter A", "initials": "PA"}, {"family": "Gr\u00f6nberg", "given": "Henrik", "initials": "H", "orcid": "0000-0002-1073-2753", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/33927307bf964b2fa09e09c0c867b542.json"}}, {"family": "Samaratunga", "given": "Hemamali", "initials": "H"}, {"family": "Delahunt", "given": "Brett", "initials": "B"}, {"family": "Tsuzuki", "given": "Toyonori", "initials": "T", "orcid": "0000-0002-4855-4366", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/42c993c2c0ab4b50afa03134f70118d9.json"}}, {"family": "H\u00e4kkinen", "given": "Tomi", "initials": "T"}, {"family": "Egevad", "given": "Lars", "initials": "L", "orcid": "0000-0001-8531-222X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a7d46f1f5fc047dc8edb910eb4f0645c.json"}}, {"family": "Demkin", "given": "Maggie", "initials": "M"}, {"family": "Dane", "given": "Sohier", "initials": "S"}, {"family": "Tan", "given": "Fraser", "initials": "F"}, {"family": "Valkonen", "given": "Masi", "initials": "M", "orcid": "0000-0003-3091-2484", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/ae4841e8a4124dc79c921b3af09096fe.json"}}, {"family": "Corrado", "given": "Greg S", "initials": "GS"}, {"family": "Peng", "given": "Lily", "initials": "L"}, {"family": "Mermel", "given": "Craig H", "initials": "CH", "orcid": "0000-0002-0816-3395", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/ff69bed2b4394cd8972c937ebb642c55.json"}}, {"family": "Ruusuvuori", "given": "Pekka", "initials": "P", "orcid": "0000-0001-9086-9591", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/bb947cd395e84612a53569f4a39abd19.json"}}, {"family": "Litjens", "given": "Geert", "initials": "G", "orcid": "0000-0003-1554-1291", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/3792b285bcf04c11b268da1088160a9d.json"}}, {"family": "Eklund", "given": "Martin", "initials": "M", "orcid": "0000-0001-5032-5266", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/06721510ebc8462386e0e6fc6c84315b.json"}}, {"family": "PANDA challenge consortium", "given": "", "initials": ""}], "type": "journal article", "published": "2022-01-00", "journal": {"title": "Nat. Med.", "issn": "1546-170X", "issn-l": "1078-8956", "volume": "28", "issue": "1", "pages": "154-163"}, "abstract": "Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge-the largest histopathology competition to date, joined by 1,290 developers-to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate biopsies. We validated that a diverse set of submitted algorithms reached pathologist-level performance on independent cross-continental cohorts, fully blinded to the algorithm developers. On United States and European external validation sets, the algorithms achieved agreements of 0.862 (quadratically weighted \u03ba, 95% confidence interval (CI), 0.840-0.884) and 0.868 (95% CI, 0.835-0.900) with expert uropathologists. Successful generalization across different patient populations, laboratories and reference standards, achieved by a variety of algorithmic approaches, warrants evaluating AI-based Gleason grading in prospective clinical trials.", "doi": "10.1038/s41591-021-01620-2", "pmid": "35027755", "labels": {"Kimmo Kartasalo": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC8799467"}, {"db": "pii", "key": "10.1038/s41591-021-01620-2"}], "notes": [], "created": "2024-11-05T16:09:31.876Z", "modified": "2024-11-29T09:30:09.852Z"}, {"entity": "publication", "iuid": "09a071792cf64b67ab7ab31033715e90", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/09a071792cf64b67ab7ab31033715e90.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/09a071792cf64b67ab7ab31033715e90"}}, "title": "Interobserver reproducibility of perineural invasion of prostatic adenocarcinoma in needle biopsies.", "authors": [{"family": "Egevad", "given": "Lars", "initials": "L", "orcid": "0000-0001-8531-222X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a7d46f1f5fc047dc8edb910eb4f0645c.json"}}, {"family": "Delahunt", "given": "Brett", "initials": "B", "orcid": "0000-0002-5398-0300", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/433a3f884f95451383cc746925d9a08c.json"}}, {"family": "Samaratunga", "given": "Hemamali", "initials": "H"}, {"family": "Tsuzuki", "given": "Toyonori", "initials": "T"}, {"family": "Olsson", "given": "Henrik", "initials": "H"}, {"family": "Str\u00f6m", "given": "Peter", "initials": "P", "orcid": "0000-0002-1631-806X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437.json"}}, {"family": "Lindskog", "given": "Cecilia", "initials": "C"}, {"family": "H\u00e4kkinen", "given": "Tomi", "initials": "T"}, {"family": "Kartasalo", "given": "Kimmo", "initials": "K"}, {"family": "Eklund", "given": "Martin", "initials": "M"}, {"family": "Ruusuvuori", "given": "Pekka", "initials": "P"}], "type": "journal article", "published": "2021-06-00", "journal": {"title": "Virchows Arch.", "issn": "1432-2307", "issn-l": "0945-6317", "volume": "478", "issue": "6", "pages": "1109-1116"}, "abstract": "Numerous studies have shown a correlation between perineural invasion (PNI) in prostate biopsies and outcome. The reporting of PNI varies widely in the literature. While the interobserver variability of prostate cancer grading has been studied extensively, less is known regarding the reproducibility of PNI. A total of 212 biopsy cores from a population-based screening trial were included in this study (106 with and 106 without PNI according to the original pathology reports). The glass slides were scanned and circulated among four pathologists with a special interest in urological pathology for assessment of PNI. Discordant cases were stained by immunohistochemistry for S-100 protein. PNI was diagnosed by all four observers in 34.0% of cases, while 41.5% were considered to be negative for PNI. In 24.5% of cases, there was a disagreement between the observers. The kappa for interobserver variability was 0.67-0.75 (mean 0.73). The observations from one participant were compared with data from the original reports, and a kappa for intraobserver variability of 0.87 was achieved. Based on immunohistochemical findings among discordant cases, 88.6% had PNI while 11.4% did not. The most common diagnostic pitfall was the presence of bundles of stroma or smooth muscle. It was noted in a few cases that collagenous micronodules could be mistaken for a nerve. The distance between cancer and nerve was another cause of disagreement. Although the results suggest that the reproducibility of PNI may be greater than that of prostate cancer grading, there is still a need for improvement and standardization.", "doi": "10.1007/s00428-021-03039-z", "pmid": "33534005", "labels": {"Kimmo Kartasalo": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC8203540"}, {"db": "pii", "key": "10.1007/s00428-021-03039-z"}], "notes": [], "created": "2024-11-05T16:08:21.035Z", "modified": "2024-11-29T10:45:08.430Z"}, {"entity": "publication", "iuid": "09ab7a2cbe9041f19abb08c0d6434642", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/09ab7a2cbe9041f19abb08c0d6434642.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/09ab7a2cbe9041f19abb08c0d6434642"}}, "title": "The utility of artificial intelligence in the assessment of prostate pathology.", "authors": [{"family": "Egevad", "given": "Lars", "initials": "L", "orcid": "0000-0001-8531-222X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a7d46f1f5fc047dc8edb910eb4f0645c.json"}}, {"family": "Str\u00f6m", "given": "Peter", "initials": "P", "orcid": "0000-0002-1631-806X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437.json"}}, {"family": "Kartasalo", "given": "Kimmo", "initials": "K"}, {"family": "Olsson", "given": "Henrik", "initials": "H"}, {"family": "Samaratunga", "given": "Hemamali", "initials": "H"}, {"family": "Delahunt", "given": "Brett", "initials": "B", "orcid": "0000-0002-5398-0300", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/433a3f884f95451383cc746925d9a08c.json"}}, {"family": "Eklund", "given": "Martin", "initials": "M"}], "type": "editorial", "published": "2020-05-00", "journal": {"title": "Histopathology", "issn": "1365-2559", "issn-l": "0309-0167", "volume": "76", "issue": "6", "pages": "790-792"}, "abstract": null, "doi": "10.1111/his.14060", "pmid": "32402150", "labels": {"Kimmo Kartasalo": null, "DDLS Fellow": null}, "xrefs": [], "notes": [], "created": "2024-11-05T16:10:26.497Z", "modified": "2024-11-29T10:45:28.264Z"}, {"entity": "publication", "iuid": "f89ec060f7f34be7ab0850d93dd84380", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/f89ec060f7f34be7ab0850d93dd84380.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/f89ec060f7f34be7ab0850d93dd84380"}}, "title": "The importance of study design in the application of artificial intelligence methods in medicine.", "authors": [{"family": "Eklund", "given": "Martin", "initials": "M", "orcid": "0000-0001-5032-5266", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/06721510ebc8462386e0e6fc6c84315b.json"}}, {"family": "Kartasalo", "given": "Kimmo", "initials": "K", "orcid": "0000-0002-9470-4783", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7c6fc97c06ed456c8bdd1f03db8a9b72.json"}}, {"family": "Olsson", "given": "Henrik", "initials": "H", "orcid": "0000-0002-2270-2017", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/da0547e978264d9c88fc6a222dcbfd5f.json"}}, {"family": "Str\u00f6m", "given": "Peter", "initials": "P", "orcid": "0000-0002-1631-806X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2798ea6ef2ed4ae88b78dd04d2f14437.json"}}], "type": "journal article", "published": "2019-10-18", "journal": {"title": "NPJ Digit Med", "issn": "2398-6352", "issn-l": null, "volume": "2", "issue": null, "pages": "101"}, "abstract": null, "doi": "10.1038/s41746-019-0174-1", "pmid": "31646183", "labels": {"Kimmo Kartasalo": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC6802122"}, {"db": "pii", "key": "174"}], "notes": [], "created": "2024-11-05T16:10:25.356Z", "modified": "2024-11-29T09:31:22.619Z"}]}