Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

被引：7

作者：

Ly, Amy ^{[2
]}

Garcia, Victor ^{[3
]}

Blenman, Kim R. M. ^{[4
,5
,6
]}

Ehinger, Anna ^{[7
]}

Elfer, Katherine ^{[3
]}

Hanna, Matthew G. ^{[8
]}

Li, Xiaoxian ^{[9
]}

Peeters, Dieter J. E. ^{[10
,11
]}

Birmingham, Ryan ^{[3
,12
]}

Dudgeon, Sarah ^{[13
]}

Gardecki, Emma ^{[3
]}

Gupta, Rajarsi ^{[14
]}

Lennerz, Jochen ^{[1
,15
]}

Pan, Tony ^{[12
]}

Saltz, Joel ^{[14
]}

Wharton Jr, Keith A. ^{[16
]}

Ehinger, Daniel ^{[17
,18
]}

Acs, Balazs ^{[19
,20
]}

Dequeker, Elisabeth M. C. ^{[21
]}

Salgado, Roberto ^{[22
,23
]}

Gallas, Brandon D. ^{[3
]}

机构：

[1] BostonGene, Boston, MA USA

[2] Massachusetts Gen Hosp, Dept Pathol, Boston, MA 02114 USA

[3] US FDA, Div Imaging Diagnost & Software Reliabil, Ctr Devices & Radiol Hlth, Off Sci & Engn Labs, Silver Spring, MD USA

[4] Yale Sch Med, Dept Internal Med, Sect Med Oncol, New Haven, CT USA

[5] Yale Sch Med, Yale Canc Ctr, New Haven, CT USA

[6] Yale Sch Engn & Appl Sci, Dept Comp Sci, New Haven, CT USA

[7] Lund Univ, Dept Genet Pathol & Mol Diagnost, Lab Med, Reg Skane, Lund, Sweden

[8] Mem Sloan Kettering Canc Ctr, Dept Pathol & Lab Med, New York, NY USA

[9] Emory Univ, Dept Pathol & Lab Med, Atlanta, GA USA

[10] Univ Hosp Antwerp, Dept Pathol, Edegem, Belgium

[11] Algemeen Ziekenhuis AZ Sint Maarten, Dept Pathol, Mechelen, Belgium

[12] Emory Univ, Dept Biomed Informat, Atlanta, GA USA

[13] Ctr Computat Hlth, Yale Sch Med, New Haven, CT USA

[14] SUNY Stony Brook, Dept Biomed Informat, Stony Brook, NY USA

[15] Massachusetts Gen Hosp, Ctr Integrated Diagnost, Dept Pathol, Boston, MA USA

[16] Roche Diagnost Solut, Oro Valley, AZ USA

[17] Lund Univ, Dept Clin Sci, Div Oncol, Lund, Sweden

[18] Skane Univ Hosp, Dept Genet Pathol & Mol Diagnost, Lund, Sweden

[19] Karolinska Inst, Canc Ctr Karolinska, Dept Oncol & Pathol, Stockholm, Sweden

[20] Karolinska Univ Hosp, Dept Clin Pathol & Canc Diagnost, Stockholm, Sweden

[21] Univ Leuven, Dept Publ Hlth & Primary Care, Biomed Qual Assurance Res Unit, Leuven, Belgium

[22] Gasthuiszusters Antwerpen Ziekenhuis Netwerk Antwe, Dept Pathol, Antwerp, Belgium

[23] Peter Maccallum Canc Ctr, Div Res, Melbourne, Australia

来源：

HISTOPATHOLOGY | 2024年 / 84卷 / 06期

关键词：

breast cancer; continuing medical education; FOAMed; pathology education; tumour infiltrating lymphocytes; INTEROBSERVER AGREEMENT;

D O I：

10.1111/his.15140

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

A growing body of research supports stromal tumour-infiltrating lymphocyte (TIL) density in breast cancer to be a robust prognostic and predicive biomarker. The gold standard for stromal TIL density quantitation in breast cancer is pathologist visual assessment using haematoxylin and eosin-stained slides. Artificial intelligence/machine-learning algorithms are in development to automate the stromal TIL scoring process, and must be validated against a reference standard such as pathologist visual assessment. Visual TIL assessment may suffer from significant interobserver variability. To improve interobserver agreement, regulatory science experts at the US Food and Drug Administration partnered with academic pathologists internationally to create a freely available online continuing medical education (CME) course to train pathologists in assessing breast cancer stromal TILs using an interactive format with expert commentary. Here we describe and provide a user guide to this CME course, whose content was designed to improve pathologist accuracy in scoring breast cancer TILs. We also suggest subsequent steps to translate knowledge into clinical practice with proficiency testing.

引用

页码：915 / 923

页数：9

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