It has been a scorcher this past summer. With fall roaring its beautiful breezes, we say “Goodbye!” to summer and welcome in a new season of weather and pumpkin spice everything. But we must first give a nod to some of the top papers we’ve found over the past few months.
Digital Pathology and Artificial Intelligence
Viswanathan VS, et al. The state of the art for artificial intelligence in lung digital pathology. J Pathol. 2022 Jul. doi.org/10.1002/path.5966
Browning L, et al. Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region. J Clin Pathol. 2022 Jul. doi.org/10.1136/jcp-2022-208416
Homeyer A, et al. Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology. Mod Pathol. 2022 Sep. doi.org/10.1038/s41379-022-01147-y
Farahani H, et al. Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images. Mod Pathol. 2022 Sep. doi.org/10.1038/s41379-022-01146-z
Drogt J, et al. Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations. Mod Pathol. 2022 Aug. doi.org/10.1038/s41379-022-01123-6
Browning L, et al. RFID analysis of the complexity of cellular pathology workflow-An opportunity for digital pathology. Front Med (Lausanne). 2022 Aug. doi.org/10.3389/fmed.2022.933933
Hassell LA, et al. Pathology Education Powered by Virtual and Digital Transformation. Arch Pathol Lab Med. 2022 Jul. doi.org/10.5858/arpa.2021-0473-RA
Bernicker EH, et al. Understanding Factors Associated With Anaplastic Lymphoma Kinase Testing Delays in Patients With Non-Small Cell Lung Cancer in a Large Real-World Oncology Database. Arch Pathol Lab Med. 2022 Aug. doi.org/10.5858/arpa.2021-0029-OA
Bruehl FK, et al. Tiered Somatic Variant Classification Adoption Has Increased Worldwide With Some Practice Differences Based on Location and Institutional Setting: A Study From the College of American Pathologists Molecular Oncology Committee. Arch Pathol Lab Med. 2022 Jul. doi.org/10.5858/arpa.2021-0179-CP
Bean GR, et al. Genetic and immunohistochemical profiling of small cell and large cell neuroendocrine carcinomas of the breast. Mod Pathol. 2022 Oct. doi.org/10.1038/s41379-022-01090-y
Suster D, et al. Solid Thyroid Follicular Nodules With Longitudinal Nuclear Grooves: Clinicopathologic, Immunohistochemical, and Molecular Genetic Study of 18 Cases. Arch Pathol Lab Med. 2022 Aug. doi.org/10.5858/arpa.2020-0816-OA
Sgariglia R, et al. Moving towards a local testing solution for undetermined thyroid fine-needle aspirates: validation of a novel custom DNA-based NGS panel. J Clin Pathol. 2022 Jul. doi.org/10.1136/jclinpath-2021-207429
Mills AM, et al. Mesonephric-like Endometrial Carcinoma: Results From Immunohistochemical Screening of 300 Endometrial Carcinomas and Carcinosarcomas for This Often Overlooked and Potentially Aggressive Entity. Am J Surg Pathol. 2022 Jul. doi.org/10.1097/pas.0000000000001873
General Pathology and Laboratory Medicine
Carll T, et al. Tissue Contamination During Transportation of Formalin-Fixed, Paraffin-Embedded Blocks. Am J Clin Pathol. 2022 Jul. doi.org/10.1093/ajcp/aqac014
Xu H, et al. Diagnostic Challenges in Fine-Needle Aspiration Cytology of Mediastinal Tumors and Lesions. Arch Pathol Lab Med. 2022 Aug. doi.org/10.5858/arpa.2021-0108-RA
Did we miss any research you know about? Or, do you have your own research you’d like highlighted? Just email Kristin at email@example.com for more information.
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.