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After neoadjuvant therapy, axillary sentinel lymph node frozen sections from breast cancer patients are accurately diagnosed using telepathology

Publication ,  Journal Article
McMurtry, V; Poretta, JM; Factor, RE
Published in: Journal of Pathology Informatics
January 1, 2022

Context: Telepathology is a digital, microscope-independent method of diagnosing pathology from scanned slides. Frozen sections (FS) can be performed and read by a pathologist at any site. At our institution, telepathology is used for diagnosis of frozen sections of sentinel lymph nodes (SLN) in patients who have undergone neoadjuvant chemotherapy and are enrolled in a clinical trial. Objective: We investigated the accuracy of diagnosing SLN frozen sections in the neoadjuvant setting using telepathology. Design: SLN were entirely submitted for frozen section. A pathology assistant prepared the frozen and scanned the slides using VisionTek M6 digital microscope ecosystem (East Dundee, IL). Cases were interpreted by trained, board-certified pathologists. All frozen sections remnants were submitted for formalin-fixed paraffin-embedded permanent sections. Frozen section diagnoses using telepathology were compared to final pathology. Turn-around time from specimen collection to frozen section diagnosis was recorded. Results: 54 SLN from 22 breast neoadjuvant cases were diagnosed via telepathology from March 2017 to July 2019. 95% of SLNs interpreted as negative on frozen section and on permanents. A definitive diagnosis could not be rendered on six SLNs; diagnosed “atypical” at frozen. Sensitivity and specificity were 80% and 100% respectively with accuracy of 95.8%. The false-negative rate was 5%. There were no false positives. The average turn-around time was over an hour. Conclusions: Telepathology is an accurate method of diagnosing SLN frozen sections in the neoadjuvant setting, but lobular carcinomas and treatment effect pose diagnostic challenges and the time to report results is increased compared to standard microscopy.

Duke Scholars

Published In

Journal of Pathology Informatics

DOI

EISSN

2153-3539

ISSN

2229-5089

Publication Date

January 1, 2022

Volume

13

Related Subject Headings

  • 4609 Information systems
  • 3102 Bioinformatics and computational biology
  • 0601 Biochemistry and Cell Biology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
McMurtry, V., Poretta, J. M., & Factor, R. E. (2022). After neoadjuvant therapy, axillary sentinel lymph node frozen sections from breast cancer patients are accurately diagnosed using telepathology. Journal of Pathology Informatics, 13. https://doi.org/10.1016/j.jpi.2022.100092
McMurtry, V., J. M. Poretta, and R. E. Factor. “After neoadjuvant therapy, axillary sentinel lymph node frozen sections from breast cancer patients are accurately diagnosed using telepathology.” Journal of Pathology Informatics 13 (January 1, 2022). https://doi.org/10.1016/j.jpi.2022.100092.
McMurtry, V., et al. “After neoadjuvant therapy, axillary sentinel lymph node frozen sections from breast cancer patients are accurately diagnosed using telepathology.” Journal of Pathology Informatics, vol. 13, Jan. 2022. Scopus, doi:10.1016/j.jpi.2022.100092.

Published In

Journal of Pathology Informatics

DOI

EISSN

2153-3539

ISSN

2229-5089

Publication Date

January 1, 2022

Volume

13

Related Subject Headings

  • 4609 Information systems
  • 3102 Bioinformatics and computational biology
  • 0601 Biochemistry and Cell Biology