Sökning: WFRF:(van der Kwast Theodorus H.)
> Uppsala universitet >
Artificial intellig...
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies : a population-based, diagnostic study
-
- Strom, Peter (författare)
- Karolinska Institutet,Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
-
- Kartasalo, Kimmo (författare)
- Karolinska Institutet,Tampere Univ, Fac Med & Hlth Technol, Tampere, Finland,Cleveland Clin, Pathol & Lab Med Inst, Cleveland, OH 44106 USA
-
- Olsson, Henrik (författare)
- Karolinska Institutet,Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
-
visa fler...
-
- Solorzano, Leslie, 1989- (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion
-
- Delahunt, Brett (författare)
- Univ Otago, Wellington Sch Med & Hlth Sci, Dept Pathol & Mol Med, Wellington, New Zealand
-
- Berney, Daniel M. (författare)
- Queen Mary Univ London, Barts Canc Inst, London, England
-
- Bostwick, David G. (författare)
- Bostwick Labs, Orlando, FL USA
-
- Evans, Andrew J. (författare)
- Toronto Gen Hosp, Univ Hlth Network, Toronto, ON, Canada
-
- Grignon, David J. (författare)
- Indiana Univ Sch Med, Dept Pathol & Lab Med, Indianapolis, IN 46202 USA
-
- Humphrey, Peter A. (författare)
- Yale Univ, Sch Med, Dept Pathol, New Haven, CT 06510 USA
-
- Iczkowski, Kenneth A. (författare)
- Med Coll Wisconsin, Dept Pathol, Milwaukee, WI 53226 USA
-
- Kench, James G. (författare)
- Royal Prince Alfred Hosp, Dept Tissue Pathol & Diagnost Oncol, Sydney, NSW, Australia;Univ Sydney, Cent Clin Sch, Sydney, NSW, Australia
-
- Kristiansen, Glen (författare)
- Univ Hosp Bonn, Inst Pathol, Bonn, Germany
-
- van der Kwast, Theodorus H. (författare)
- Toronto Gen Hosp, Univ Hlth Network, Toronto, ON, Canada
-
- Leite, Katia R. M. (författare)
- Karolinska Institutet,Univ Sao Paulo, Sch Med, Dept Urol Lab Med Res, Sao Paulo, Brazil,Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
-
- McKenney, Jesse K. (författare)
- Cleveland Clin, Pathol & Lab Med Inst, Cleveland, OH 44106 USA
-
- Oxley, Jon (författare)
- Southmead Hosp, Dept Cellular Pathol, Bristol, Avon, England
-
- Pan, Chin-Chen (författare)
- Taipei Vet Gen Hosp, Dept Pathol, Taipei, Taiwan
-
- Samaratunga, Hemamali (författare)
- Aquesta Uropathol & Univ Queensland, Brisbane, Qld, Australia
-
- Srigley, John R. (författare)
- Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, Canada
-
- Takahashi, Hiroyuki (författare)
- Jikei Univ, Dept Pathol, Sch Med, Tokyo, Japan
-
- Tsuzuki, Toyonori (författare)
- Aichi Med Univ, Sch Med, Dept Surg Pathol, Nagakute, Aichi, Japan
-
- Varma, Murali (författare)
- Univ Wales Hosp, Dept Cellular Pathol, Cardiff, Wales
-
- Zhou, Ming (författare)
- Univ Texas Southwestern Med Ctr Dallas, Dept Pathol, Dallas, TX 75390 USA
-
- Lindberg, Johan (författare)
- Karolinska Institutet,Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
-
- Lindskog, Cecilia (författare)
- Uppsala universitet,Klinisk och experimentell patologi
-
- Ruusuvuori, Pekka (författare)
- Tampere Univ, Fac Med & Hlth Technol, Tampere, Finland
-
- Wählby, Carolina, professor, 1974- (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab
-
- Gronberg, Henrik (författare)
- Karolinska Institutet,Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden;St Goran Hosp, Dept Oncol, Stockholm, Sweden
-
- Rantalainen, Mattias (författare)
- Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
-
- Egevad, Lars (författare)
- Karolinska Institutet,Karolinska Inst, Dept Pathol & Oncol, Stockholm, Sweden
-
- Eklund, Martin (författare)
- Karolinska Institutet,Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2020
- 2020
- Engelska.
-
Ingår i: The Lancet Oncology. - : Elsevier. - 1470-2045 .- 1474-5488. ; 21:2, s. 222-232
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
http://kipublication...
-
visa färre...
Abstract
Ämnesord
Stäng
- BackgroundAn increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Additionally, the high intra-observer and inter-observer variability in grading can result in overtreatment and undertreatment of prostate cancer. To alleviate these problems, we aimed to develop an artificial intelligence (AI) system with clinically acceptable accuracy for prostate cancer detection, localisation, and Gleason grading.MethodsWe digitised 6682 slides from needle core biopsies from 976 randomly selected participants aged 50–69 in the Swedish prospective and population-based STHLM3 diagnostic study done between May 28, 2012, and Dec 30, 2014 (ISRCTN84445406), and another 271 from 93 men from outside the study. The resulting images were used to train deep neural networks for assessment of prostate biopsies. The networks were evaluated by predicting the presence, extent, and Gleason grade of malignant tissue for an independent test dataset comprising 1631 biopsies from 246 men from STHLM3 and an external validation dataset of 330 biopsies from 73 men. We also evaluated grading performance on 87 biopsies individually graded by 23 experienced urological pathologists from the International Society of Urological Pathology. We assessed discriminatory performance by receiver operating characteristics and tumour extent predictions by correlating predicted cancer length against measurements by the reporting pathologist. We quantified the concordance between grades assigned by the AI system and the expert urological pathologists using Cohen's kappa.FindingsThe AI achieved an area under the receiver operating characteristics curve of 0·997 (95% CI 0·994–0·999) for distinguishing between benign (n=910) and malignant (n=721) biopsy cores on the independent test dataset and 0·986 (0·972–0·996) on the external validation dataset (benign n=108, malignant n=222). The correlation between cancer length predicted by the AI and assigned by the reporting pathologist was 0·96 (95% CI 0·95–0·97) for the independent test dataset and 0·87 (0·84–0·90) for the external validation dataset. For assigning Gleason grades, the AI achieved a mean pairwise kappa of 0·62, which was within the range of the corresponding values for the expert pathologists (0·60–0·73).InterpretationAn AI system can be trained to detect and grade cancer in prostate needle biopsy samples at a ranking comparable to that of international experts in prostate pathology. Clinical application could reduce pathology workload by reducing the assessment of benign biopsies and by automating the task of measuring cancer length in positive biopsy cores. An AI system with expert-level grading performance might contribute a second opinion, aid in standardising grading, and provide pathology expertise in parts of the world where it does not exist.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Urology and Nephrology (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Strom, Peter
-
Kartasalo, Kimmo
-
Olsson, Henrik
-
Solorzano, Lesli ...
-
Delahunt, Brett
-
Berney, Daniel M ...
-
visa fler...
-
Bostwick, David ...
-
Evans, Andrew J.
-
Grignon, David J ...
-
Humphrey, Peter ...
-
Iczkowski, Kenne ...
-
Kench, James G.
-
Kristiansen, Gle ...
-
van der Kwast, T ...
-
Leite, Katia R. ...
-
McKenney, Jesse ...
-
Oxley, Jon
-
Pan, Chin-Chen
-
Samaratunga, Hem ...
-
Srigley, John R.
-
Takahashi, Hiroy ...
-
Tsuzuki, Toyonor ...
-
Varma, Murali
-
Zhou, Ming
-
Lindberg, Johan
-
Lindskog, Cecili ...
-
Ruusuvuori, Pekk ...
-
Wählby, Carolina ...
-
Gronberg, Henrik
-
Rantalainen, Mat ...
-
Egevad, Lars
-
Eklund, Martin
-
visa färre...
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Cancer och onkol ...
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Urologi och njur ...
- Artiklar i publikationen
-
The Lancet Oncol ...
- Av lärosätet
-
Uppsala universitet
-
Karolinska Institutet