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Published on: December 6, 2014
Improving resource utilization: Axillary lymph node core biopsy triaging for lymphoma
Carl Dernell1, John Astle1, Abraham Bogachkov2
1Departments of Pathology, Medical College of Wisconsin, Milwaukee, WI, US.
Insights
Hematopathology resources were overused for axillary lymph node core biopsies (AxLNCB) in breast cancer screening. A predictive tool using patient characteristics could optimize resource allocation for these biopsies.
Area of Science:
- Pathology
- Oncology
- Diagnostic Imaging
Background:
- Axillary lymph node core biopsies (AxLNCB) are crucial in breast cancer staging.
- Hematopathology consultation is often sought for AxLNCB interpretation.
- The necessity and extent of hematopathology involvement require evaluation.
Purpose of the Study:
- To assess the utilization of hematopathology resources for AxLNCB specimens.
- To identify factors influencing hematopathology consultation for AxLNCB.
- To determine the actual prevalence of hematologic malignancies in AxLNCB.
Main Methods:
- Retrospective review of 594 AxLNCB specimens over 30 months.
- Analysis of hematopathology resource utilization (triage, review).
- Chart review for patient demographics and radiographic features.
Main Results:
- 61.6% of AxLNCB were benign, 38.6% malignant.
- Only 9.3% of malignant cases had hematologic malignancy.
- 94% of cases were triaged for lymphoma, 81% reviewed by hematopathologists.
- Six factors predicted hematologic malignancy risk: male sex, bilateral lymphadenopathy, diffuse cortical thickening, lack of breast cancer, older age, and prior hematologic malignancy history.
Conclusions:
- Significant overuse of hematopathology resources for AxLNCB was observed.
- A predictive tool based on clinical parameters can optimize hematopathology consultation.
- Improved resource allocation can enhance efficiency in evaluating AxLNCB.
Objectives:
To evaluate the utilization of hematopathology resources within our enterprise on axillary lymph node core biopsy (AxLNCB) specimens, particularly those obtained in the context of breast cancer screening.
Methods:
The utilization of hematopathology resources was determined for all AxLNCB specimens over a 30-month period from across our enterprise, and chart review was performed for select patient demographics and radiographic features. The AxLNCB cases with benign histology were reviewed for subtyping of histologic patterns.
Results:
Of the total 594 AxLNCB specimens, 61.6% were benign and 38.6% malignant. Of malignant cases, only 9.3% contained any hematologic malignancy, yet 94% of all cases received tissue triage for lymphoma, and 81% were reviewed at least in part by a hematopathologist. Six clinical parameters were found to independently predict risk of hematologic malignancy: male sex (P = .041), bilateral lymphadenopathy (P = .004), diffuse cortical thickening (P = .005), lack of breast cancer (P = .001), older age (P < .001), and history of hematologic malignancy (P < .001).
Conclusions:
Our enterprise overused hematopathology resources in the evaluation of AxLNCB performed in the study period. Our process could improve from the application of a simple tool generated from this cohort to predict percent risk of the specimen containing hematologic malignancy using patient characteristics easily found via routine chart review.
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