Search Within

David Kim

Formats
  1. Meeting Abstract (8)
  2. Journal Article (3)
  3. Review (2)
  4. Editorial (1)
Groups
  1. Department of Pathology and Laboratory Medicine (14)
  2. Center for Hematologic Malignancies (5)
  3. Pediatric Leukemia (5)
  4. Center for Pancreatic Cancer Research (3)
  5. Graduate Medical Education (3)
  6. GME, Pathology (2)

More Groups

People
  1. Oscar Lin (5)
  2. Maria Arcila (4)
  3. Anita Yun (2)
  4. Chad Vanderbilt (2)
  5. Ivelise Rijo (2)
  6. Khedoudja Nafa (2)

More People

Years
  1. 2025 (3)
  2. 2024 (8)
  3. 2023 (3)
Publications
  1. Laboratory Investigation (5)
  2. Journal of the American Society of Cytopathology (3)
  3. Journal of Molecular Diagnostics (2)
  4. Cancer Cytopathology (1)
  5. Gastrointestinal Endoscopy (1)
  6. Journal of Clinical Pathology (1)

More Publications

Publishers
  1. Nature Publishing Group (6)
  2. American Society of Cytopathology (3)
  3. Elsevier Science, Inc. (2)
  4. BMJ Publishing Group Ltd. (1)
  5. John Wiley & Sons (1)
  6. Mosby Elsevier (1)

Results (14)

Export to EndNote / Excel | PubMed

Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Effective detection of clinically significant gene fusions by targeted next-generation RNA sequencing in 877 cytology specimens: Insights and experience from a large pancancer cohort
    Meeting Abstract

    Tang, H.; Sukhadia, P.; DiNapoli, S.; Lin, O.; Ewalt, M.; Arcila, M.; Kim, D.
    Laboratory Investigation (2025)

    Fulltext@MSK | Save
  • Future initiatives and approaches to reducing the impact of lung cancer
    Editorial

    Kim, D.
    Cancer Cytopathology (2025)

    Fulltext@MSK | Save
  • Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling
    Journal Article

    Kim, D.; Vanderbilt, C. M.; Yang, S. R.; Nandakumar, S.; Nafa, K.; Feratovic, R.; Rekhtman, N.; Rijo, I.; Casanova, J.; Yun, A.; more...
    Nature Communications (2025)

    Fulltext@MSK | Save
  • Detection of clinically relevant fusions by targeted RNA sequencing versus fluorescence in-situ hybridization: Evaluation of performance in 512 solid tumors from a single tertiary center
    Meeting Abstract

    Kim, D.; Hameed, M.; Chen, J.; Aypar, U.; Sukhadia, P.; DiNapoli, S.; Loomis, B.; Zhang, Y.
    Journal of Molecular Diagnostics (2024)

    Fulltext@MSK | Save
  • Optimal carcinoembryonic antigen (CEA) cutoff values in the diagnosis of neoplastic mucinous pancreatic cysts differ among assays
    Journal Article

    Kim, D.; Margolskee, E.; Goyal, A.; Siddiqui, M. T.; Heymann, J. J.; Rao, R. M.; Hayden, J.
    Journal of Clinical Pathology (2024)

    Fulltext@MSK | Save
  • Performance assessment of a high-volume digital slide scanner with z-stacking capability on cytology specimens
    Meeting Abstract

    Guney, A.; Wong, C.; Spencer, J.; Kyaw, Y.; Kim, D.; Ardon, O.; Kezlarian, B.; Lin, O.
    Laboratory Investigation (2024)

    Fulltext@MSK | Save
  • Role of TRPS-1, SOX-10 and GATA-3 in metastatic triple negative breast cancer cytology
    Meeting Abstract

    Sapna, F.; Kristo, S.; Lahoutiharahdashti, A.; Kim, D.; Zhu, C. C.; Bhalla, A.; Fineberg, S.; Rao, R.
    Laboratory Investigation (2024)

    Fulltext@MSK | Save
  • The current state of digital cytology and artificial intelligence (AI): Global survey results from the American Society of Cytopathology Digital Cytology Task Force
    Journal Article

    Kim, D.; Thrall, M. J.; Michelow, P.; Schmitt, F. C.; Vielh, P. R.; Siddiqui, M. T.; Sundling, K. E.; Virk, R.; Alperstein, S.; Bui, M. M.; more...
    Journal of the American Society of Cytopathology (2024)

    Fulltext@MSK | Save
  • Feasibility of endoscopic ultrasound-guided tissue acquisition for next-generation sequencing in pancreatic cancer patients
    Meeting Abstract

    Lee, S. E.; Kim, D.; Schattner, M.; Rolston, V.; Vakiani, E.; Sigel, C.; O'Reilly, E.; Yu, K.; Jarnagin, W.; Soares, K.
    Gastrointestinal Endoscopy (2024)

    Fulltext@MSK | Save
  • Digital cytology part 2: Artificial intelligence in cytology: A concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force
    Review

    Kim, D.; Sundling, K. E.; Virk, R.; Thrall, M. J.; Alperstein, S.; Bui, M. M.; Chen-Yost, H.; Donnelly, A. D.; Lin, O.; Liu, X.; more...
    Journal of the American Society of Cytopathology (2024)

    Fulltext@MSK | Save