Can you believe the second quarter of 2022 is behind us? As quickly as the year is passing, even more exciting is all of the research underway. We know you’re busy, so we did the sifting and heavy lifting to bring you the hottest papers of Q2. Let’s get reading!
Hernandez PV, et al. Measuring the Efficacy of Pathology Career Recruitment Strategies in US Medical Students. Arch Pathol Lab Med. 2022 Apr 1;146(4):494-500. doi: 10.5858/arpa.2020-0834-OA. PMID: 34324631.
Chiou PZ, Jia Y. Influence of Certification on a Pathology Laboratory Professional's Career Mobility. Am J Clin Pathol. 2022 Jun 7;157(6):942-947. doi: 10.1093/ajcp/aqab205. PMID: 34999765.
Pantanowitz L, et al. Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence. Acad Pathol. 2022 May 30;9(1):100026. doi: 10.1016/j.acpath.2022.100026. PMID: 35669406; PMCID: PMC9163695.
LeGallo RD, Atkins KA. Recruiting the future of pathology. Cancer Cytopathol. 2022 Jun 9. doi: 10.1002/cncy.22606. Epub ahead of print. PMID: 35679145.
Kaul KL. The Molecular Genetic Pathology Fellowship Curriculum: time for evolution? J Mol Diagn. 2022 Jun 7:S1525-1578(22)00144-1. doi: 10.1016/j.jmoldx.2022.04.012. Epub ahead of print. PMID: 35688356.
Evans AJ, et al. Validating Whole Slide Imaging Systems for Diagnostic Purposes in Pathology. Arch Pathol Lab Med. 2022 Apr 1;146(4):440-450. doi: 10.5858/arpa.2020-0723-CP. PMID: 34003251.
Cahill LC, et al. Real-time diagnosis and Gleason grading of prostate core needle biopsies using nonlinear microscopy. Mod Pathol. 2022 Apr;35(4):539-548. doi: 10.1038/s41379-021-00960-1. Epub 2021 Nov 2. PMID: 34725447; PMCID: PMC8560363.
Zaiem F, et al. Accuracy and Reproducibility of Frozen Section Diagnosis in Ovarian Tumors. Arch Pathol Lab Med. 2022 May 1;146(5):626-631. doi: 10.5858/arpa.2020-0686-OA. PMID: 34402886.
Joosse SA, Pantel K. Circulating DNA and Liquid Biopsies in the Management of Patients with Cancer. Cancer Res. 2022 Jun 15;82(12):2213-2215. doi: 10.1158/0008-5472.CAN-22-1405. PMID: 35702889.
Shinohara S, et al. Substantial improvement of histopathological diagnosis by whole-slide image-based remote consultation. Virchows Arch. 2022 Jun 7:1–11. doi: 10.1007/s00428-022-03327-2. Epub ahead of print. PMID: 35672584; PMCID: PMC9172976.
Tawfik OW, et al. Challenges in Pathology Specimen Processing in the New Era of Precision Medicine. Arch Pathol Lab Med. 2022 May 1;146(5):603-610. doi: 10.5858/arpa.2021-0089-OA. PMID: 34424953.
Mathew MT, et al. A Decade's Experience in Pediatric Chromosomal Microarray Reveals Distinct Characteristics Across Ordering Specialties. J Mol Diagn. 2022 Jun 16:S1525-1578(22)00160-X. doi: 10.1016/j.jmoldx.2022.06.001. Epub ahead of print. PMID: 35718094.
Digital Pathology / Machine & Deep Learning / Precision Medicine
Dov D, et al. A Hybrid Human-Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy. Arch Pathol Lab Med. 2022 Jun 1;146(6):727-734. doi: 10.5858/arpa.2020-0850-OA. PMID: 34591085.
Flinner N, et al. Deep learning based on hematoxylin-eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma. J Pathol. 2022 Jun;257(2):218-226. doi: 10.1002/path.5879. Epub 2022 Mar 31. PMID: 35119111.
Qaiser T, et al. Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials. NPJ Precis Oncol. 2022 Jun 15;6(1):37. doi: 10.1038/s41698-022-00275-7. PMID: 35705792; PMCID: PMC9200764.
Saednia K, et al. Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies. Sci Rep. 2022 Jun 11;12(1):9690. doi: 10.1038/s41598-022-13917-4. PMID: 35690630; PMCID: PMC9188550.
Salama AM, et al. Digital validation of breast biomarkers (ER, PR, AR, and HER2) in cytology specimens using three different scanners. Mod Pathol. 2022 Jan;35(1):52-59. doi: 10.1038/s41379-021-00908-5. Epub 2021 Sep 13. PMID: 34518629; PMCID: PMC8702445.
Anatomy of a Cyberattack
Cyberattacks on key infrastructure have occurred more frequently in recent years. This four-part series gives real world examples of both preparation and coping with a long term cyber shutdown.
Stowman AM, et al. Anatomy of a Cyberattack: Part 1: Managing an Anatomic Pathology Laboratory During 25 Days of Downtime. Am J Clin Pathol. 2022 Apr 1;157(4):510-517. doi: 10.1093/ajcp/aqab145. PMID: 35188549.
Goodwin A, et al. Anatomy of a Cyberattack: Part 2: Managing a Clinical Pathology Laboratory During 25 Days of Downtime. Am J Clin Pathol. 2022 May 4;157(5):653-663. doi: 10.1093/ajcp/aqab213. PMID: 35188951.
Stowman AM, et al. Anatomy of a Cyberattack: Part 3: Coordination in Crisis, Development of an Incident Command Team, and Resident Education During Downtime. Am J Clin Pathol. 2022 June; 157(6):814–822. doi: 10.1093/ajcp/aqab162
Frisch NK, et al. Anatomy of a Cyberattack: Part 4: Quality Assurance and Error Reduction, Billing and Compliance, Transition to Uptime. Am J Clin Pathol. 2022 Feb 21. doi: 10.1093/ajcp/aqac004. Epub ahead of print. PMID: 35188946.
To learn more about Luci, visit our Products page or email firstname.lastname@example.org. Instapath was founded in 2017 by the same engineers and scientists who developed the original prototypes. Our vision is to enable patients to immediately know their cancer diagnosis instead of waiting days or weeks for the results. Instapath builds microscopy platforms to improve patient care in the form of faster turnaround times and prevention of high risk and costly repeat biopsy procedures. Further, our goal is to provide users with a seamless, modernized digital pathology workflow with tools to complete all pathology evaluations needed to provide the most precise and efficient diagnoses for patients.