Patentinės paraiškos
Pavadinimas lietuvių kalba - Automatizuotas naviko ir stromos sąsajos zonos nustatymas, skirtas naviko atsako įvertinimui naudojant imunogradientinius indikatorius
Pavadinimas anglų kalba - Automated Tumour-Stroma Interface Zone Detection for Anti-Tumour Response Assessment by Immunogradient Indicators
Patentinės pareiškos numeris: LT 2019 509
Pateikimo data: 2019-04-09
Išradėjai: Rasmusson A, Zilenaite D, Nestarenkaite A, Augulis R, Laurinavicius A.
Pareiškėjas - Vilniaus universitetas
Daugiau:
1. 2020-10-18 Lietuvių darbai pasiekė pasaulinį lygį: štai kaip skaitmeninė patologija leidžia pamatyti „net ir tai, kas yra nematoma“ bei parinkti efektyvesnį gydymą
2. 2020-10-05 Dirbtinis intelektas patologijoje – individualizuoto gydymo sprendimai
3. 2020 09 18 Healthcare-in-europe.com pristato prof. A. Laurinavičiaus darbus skaitmeninės patologijos srityje
4. 2020-09-17Spatial statistics extract subvisual features
Dokumento šaltinis: VU
Pavadinimas anglų kalba: Computer-implemented process on an image of a biological sample
Patentinės pareiškos numeris: PCT/EP2019/067180
Pateikimo data: 2019-06-27
Išradėjai: B. Plancoulaine, L. Poulain, N. Elie, A. Laurinavicius
Pareiškėjai: Normandijos Caeno universitetas (University of Caen Normandy), Vilniaus universitetas (University of Vilnius), Nacionalinis sveikatos institutas (National Institute of Health), Francois Baclesse centras (Center Francois Baclesse)
Publikacijos
[1] Brazdziute E, Laurinavicius A: Digital pathology evaluation of complement C4d component deposition in the kidney allograft biopsies is a useful tool to improve reproducibility of the scoring. Diagnostic Pathology 2011. http://www.diagnosticpathology.org/content/pdf/1746-1596-6-S1-S5.pdf
[2] Laurinaviciene A, Dasevicius D, Ostapenko V, Jarmalaite S, Lazutka J, Laurinavicius A: Membrane connectivity estimated by digital image analysis of HER2 immunohistochemistry is concordant with visual scoring and fluorescence in situ hybridization results: algorithm evaluation on breast cancer tissue microarrays. Diagnostic Pathology 2011. http://www.diagnosticpathology.org/content/pdf/1746-1596-6-87.pdf
[3] Laurinavicius A, Laurinaviciene A, Ostapenko V, Dasevicius D, Jarmalaite S, Lazutka J: Immunohistochemistry profiles of breast ductal carcinoma: factor analysis of digital image analysis data. Diagnostic Pathology 2012. http://www.diagnosticpathology.org/content/pdf/1746-1596-7-27.pdf
[4] Laurinavicius A, Green AR, Laurinaviciene A, Smailyte G, Ostapenko V, Meskauskas R, Ellis IO: Ki67/SATB1 ratio is an independent prognostic factor of overall survival in patients with early hormone receptor-positive invasive ductal breast carcinoma. Oncotarget 2015. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747395/pdf/oncotarget-06-41134.pdf
[5] Laurinavicius A, Plancoulaine B, Laurinaviciene A, Herlin P, Meskauskas R, Baltrusaityte I, Besusparis J, Dasevicius D, Elie N, Iqbal Y, Bor C, Ellis IO: A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue. Breast Cancer Research 2014. http://www.breast-cancer-research.com/content/pdf/bcr3639.pdf
[6] Laurinaviciene A, Plancoulaine B, Baltrusaityte I, Meskauskas R, Besusparis J, Lesciute-Krilaviciene D, Raudeliunas D, Iqbal Y, Herlin P, Laurinavicius A: Digital immunohistochemistry platform for the staining variation monitoring based on integration of image and statistical analyses with laboratory information system. Diagn Pathol 2014. http://www.ncbi.nlm.nih.gov/pubmed/25565007
[7] Plancoulaine B, Laurinaviciene A, Meskauskas R, Baltrusaityte I, Besusparis J, Herlin P, Laurinavicius A: Digital immunohistochemistry wizard: image analysis-assisted stereology tool to produce reference data set for calibration and quality control. Diagn Pathol 2014. http://www.ncbi.nlm.nih.gov/pubmed/25565221; ://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305978/pdf/1746-1596-9-S1-S8.pdf
[8] Besusparis J, Plancoulaine B, Rasmusson A, Augulis R, Green AR, Ellis IO, Laurinaviciene A, Herlin P, Laurinavicius A: Impact of tissue sampling on accuracy of Ki67 immunohistochemistry evaluation in breast cancer. Diagnostic Pathology 2016. https://pubmed.ncbi.nlm.nih.gov/27576949/
[9] Plancoulaine B, Laurinaviciene A, Herlin P, Besusparis J, Meskauskas R, Baltrusaityte I, Iqbal Y, Laurinavicius A: A methodology for comprehensive breast cancer Ki67 labeling index with intra-tumor heterogeneity appraisal based on hexagonal tiling of digital image analysis data. Virchows Archiv 2015. https://link.springer.com/article/10.1007/s00428-015-1865-x
[10] Laurinavicius A, Plancoulaine B, Herlin P, Laurinaviciene A: Comprehensive Immunohistochemistry: Digital, Analytical and Integrated. Pathobiology 2016. <Go to ISI>://WOS:000375025100012 https://www.karger.com/Article/Pdf/442389
[11] Zilenaite D, Rasmusson A, Augulis R, Besusparis J, Laurinaviciene A, Plancoulaine B, Ostapenko V, Laurinavicius A: Independent Prognostic Value of Intratumoral Heterogeneity and Immune Response Features by Automated Digital Immunohistochemistry Analysis in Early Hormone Receptor-Positive Breast Carcinoma. Front Oncol 2020. https://www.ncbi.nlm.nih.gov/pubmed/32612954; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308549/pdf/fonc-10-00950.pdf
[12] Laurinavicius A, Plancoulaine B, Rasmusson A, Besusparis J, Augulis R, Meskauskas R, Herlin P, Laurinaviciene A, Muftah AAA, Miligy I, Aleskandarany M, Rakha EA, Green AR, Ellis IO: Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma. Virchows Archiv 2016. https://link.springer.com/article/10.1007%2Fs00428-016-1907-z
[13] Rasmusson A, Zilenaite D, Nestarenkaite A, Augulis R, Laurinaviciene A, Ostapenko V, Poskus T, Laurinavicius A: Immunogradient indicators for anti-tumor response assessment by automated tumor-stroma interface zone detection. Am J Pathol 2020. https://www.sciencedirect.com/science/article/pii/S0002944020301267#appsec1; https://www.ncbi.nlm.nih.gov/pubmed/32194048
[14] Nestarenkaite A, Fadhil W, Rasmusson A, Susanti S, Hadjimichael E, Laurinaviciene A, Ilyas M, Laurinavicius A: Immuno-Interface Score to Predict Outcome in Colorectal Cancer Independent of Microsatellite Instability Status. Cancers (Basel) 2020. https://www.ncbi.nlm.nih.gov/pubmed/33050344; https://res.mdpi.com/d_attachment/cancers/cancers-12-02902/article_deploy/cancers-12-02902-v2.pdf