Test Cancellation: A College of American Pathologists Q-Probes Study

Computational pathology: A survey review and the way forward

Computational Pathology (CPath) is an interdisciplinary science that augments developments of computational approaches to analyze and model medical histopathology images. The main objective for CPath is to develop infrastructure and workflows of digital diagnostics as an assistive CAD system for clinical pathology, facilitating transformational changes in the diagnosis and treatment of cancer that are mainly address by CPath tools. With evergrowing developments in deep learning and computer vision algorithms, and the ease of the data flow from digital pathology, currently CPath is witnessing a paradigm shift. Despite the sheer volume of engineering and scientific works being introduced for cancer image analysis, there is still a considerable gap of adopting and integrating these algorithms in clinical practice. This raises a significant question regarding the direction and trends that are undertaken in CPath. In this article we provide a comprehensive review of more than 800 papers to address the challenges faced in problem design all-the-way to the application and implementation viewpoints. We have catalogued each paper into a model-card by examining the key works and challenges faced to layout the current landscape in CPath. We hope this helps the community to locate relevant works and facilitate understanding of the field's future directions. In a nutshell, we oversee the CPath developments in cycle of stages which are required to be cohesively linked together to address the challenges associated with such multidisciplinary science. We overview this cycle from different perspectives of data-centric, model-centric, and application-centric problems. We finally sketch remaining challenges and provide directions for future technical developments and clinical integration of CPath. For updated information on this survey review paper and accessing to the original model cards repository, please refer to GitHub. Updated version of this draft can also be found from arXiv.

The feasibility and acceptability of home phlebotomy for patients with cancer

Time toxicity is a considerable burden for oncology patients. This study evaluated the feasibility and acceptability of integrating mobile phlebotomy into standard of care procedures. From September 26, 2022, through December 31, 2023, a total of 345 patients had 1464 home laboratory test collection visits completed. These mobile phlebotomy laboratory collection visits occurred in New York (68.6% of visits), New Jersey (29.9%), Connecticut (1.1%), and Pennsylvania (0.5%). Specimen quality for home laboratory test collection surpassed the Memorial Sloan Kettering Department of Pathology and Laboratory Medicine benchmarks. Acceptability was high, 173 patients were approached, and 149 responded (86% response rate); most respondents (147 of 149, 99%) would use the service again or recommend it to others. This study assessed the integration of mobile phlebotomy into standard of care management for the collection of routine cancer laboratory tests. Mobile phlebotomy results in high patient satisfaction with superior specimen quality, offering a valuable solution to oncology patients for improved efficiency and convenience.

Detecting Preanalytical Errors Using Quality Indicators in a Hematology Laboratory

BACKGROUND AND OBJECTIVES

Monitoring laboratory performance continuously is crucial for recognizing errors and fostering further improvements in laboratory medicine. This study aimed to review the quality indicators (QIs) and describe the laboratory errors in the preanalytical phase of hematology testing in a clinical laboratory.

METHODS

All samples received in the Hematology Laboratory of the Maternity and Pediatric Hospital in Hail for 3 years were retrospectively reviewed and evaluated for preanalytical issues using a set of QIs. The rate of each QI was compared to the quality specifications cited in the literature.

RESULTS

A total of 95002 blood samples were collected for analysis in the hematology laboratory from January 2017 through December 2019. Overall, 8852 (9.3%) were considered to show preanalytical errors. The most common were "clotted specimen" (3.6%) and "samples not received" (3.5%). Based on the quality specifications, the preanalytical QIs were classified generally as low and medium level of performance. In contrast, the sigma-based performance level indicates acceptable performance on all the key processes. Further analysis of the study showed a decreasing rate of preanalytical errors from 11.6% to 6.5%.

CONCLUSIONS

Preanalytical errors remain a challenge to hematology laboratories. The errors in this case were predominantly related to specimen collection procedures that compromised the specimen quality. Quality indicators are a valuable instrument in the preanalytical phase that allows an opportunity to improve and explore clinical laboratory process performance and progress. Continual monitoring and management of QI data are critical to ensure ongoing satisfactory performance and to enhance the quality in the preanalytical phase.

LabRS: A Rosetta stone for retrospective standardization of clinical laboratory test results

Objective

Clinical laboratories in the United States do not have an explicit result standard to report the 7 billion laboratory tests results they produce each year. The absence of standardized test results creates inefficiencies and ambiguities for secondary data users. We developed and tested a tool to standardize the results of laboratory tests in a large, multicenter clinical data warehouse.

Methods

Laboratory records, each of which consisted of a laboratory result and a test identifier, from 27 diverse facilities were captured from 2000 through 2015. Each record underwent a standardization process to convert the original result into a format amenable to secondary data analysis. The standardization process included the correction of typos, normalization of categorical results, separation of inequalities from numbers, and conversion of numbers represented by words (eg, "million") to numerals. Quality control included expert review.

Results

We obtained 1.266 × 109 laboratory records and standardized 1.252 × 109 records (98.9%). Of the unique unstandardized records (78.887 × 103), most appeared <5 times (96%, eg, typos), did not have a test identifier (47%), or belonged to an esoteric test with <100 results (2%). Overall, these 3 reasons accounted for nearly all unstandardized results (98%).

Conclusion

Current results suggest that the tool is both scalable and generalizable among diverse clinical laboratories. Based on observed trends, the tool will require ongoing maintenance to stay current with new tests and result formats. Future work to develop and implement an explicit standard for test results would reduce the need to retrospectively standardize test results.

Screening and Diagnosis of Monoclonal Gammopathies: An International Survey of Laboratory Practice

Context.—

Serum tests used for the screening and diagnosis of monoclonal gammopathies include serum protein electrophoresis (SPE; agarose gel or capillary zone), immunofixation (IFE) and immunosubtraction capillary electrophoresis, serum free light chains, quantitative immunoglobulins, and heavy/light–chain combinations. Urine protein electrophoresis and urine IFE may also be used to identify Bence-Jones proteinuria.

Objective.—

To assess current laboratory practice for monoclonal gammopathy testing.

Design.—

In April 2016, a voluntary questionnaire was distributed to 923 laboratories participating in a protein electrophoresis proficiency testing survey.

Results.—

Seven hundred seventy-four laboratories from 38 countries and regions completed the questionnaire (83.9% response rate; 774 of 923). The majority of participants (68.6%; 520 of 758) used agarose gel electrophoresis as their SPE method, whereas 31.4% (238 of 758) used capillary zone electrophoresis. The most common test approaches used in screening were SPE with reflex to IFE/immunosubtraction capillary electrophoresis (39.3%; 299 of 760); SPE only (19.1%; 145 of 760); SPE and IFE or immunosubtraction capillary electrophoresis (13.9%; 106 of 760); and SPE with IFE, serum free light chain, and quantitative immunoglobulins (11.8%; 90 of 760). Only 39.8% (305 of 767) of laboratories offered panel testing for ordering convenience. Although SPE was used by most laboratories in diagnosing new cases of myeloma, when laboratories reported the primary test used to follow patients with monoclonal gammopathy, only 55.7% (403 of 724) chose SPE, with the next most common selections being IFE (18.9%; 137 of 724), serum free light chain (11.7%; 85 of 724), and immunosubtraction capillary electrophoresis (2.1%; 15 of 724).

Conclusions.—

Ordering and testing practices for the screening and diagnosis of monoclonal gammopathy vary widely across laboratories. Improving utilization management and report content, as well as recognition and development of laboratory-directed testing guidelines, may serve to enhance the clinical value of testing.

Duplicate Type and Screen Testing: Waste in the Clinical Laboratory

CONTEXT

- In the United States, approximately $65 billion dollars is spent per year on clinical laboratory testing, of which 20% to 30% of all testing is deemed inappropriate. There have been multiple studies in the field of transfusion medicine regarding evidence-based transfusion practices, but limited data exist regarding inappropriate pretransfusion testing and its financial and clinical implications.

OBJECTIVE

- To assess duplicative testing practices in the transfusion medicine service.

DESIGN

- A 24-month retrospective review was performed at a 1025-bed tertiary care center, identifying all duplicate type and screen (TS) tests performed within 72 hours of the previous TS. Duplicative testing was classified as appropriate or inappropriate by predetermined criteria. The level of underordering was analyzed through a query of the electronic event reporting system. A cost analysis was performed to determine the financial impact of inappropriate duplicative TS.

RESULTS

- The mean rate of inappropriate, duplicative TS orders was 4.13% (standard deviation ± 4.09%). Rates of inappropriate ordering ranged from 0.01% to 15.5% depending on the clinical service and did not correlate with volume of tests ordered. There were 8 reported cases of delayed blood delivery due to lack of a valid TS during the study period, demonstrating that underordering is also a harmful practice. The laboratory cost of inappropriate testing for the study period was $80,434, and phlebotomy costs were $45,469.

CONCLUSIONS

- Our study demonstrates that inappropriate TS ordering is costly, both financially and clinically. By evaluating the percentage of inappropriate TS tests by clinical services, we have identified services that may benefit from additional education and technologic intervention.

Evaluation of thyroid test utilization through analysis of population-level data

BACKGROUND

Inappropriate laboratory test utilization can result in unnecessary patient testing and increased healthcare costs. While several thyroid function tests are available, thyroid-stimulating hormone (TSH) is recommended as the first-line test for investigating and monitoring thyroid dysfunction. We evaluate thyroid test utilization in Northern Alberta in terms of testing patterns, frequencies, and reflex cutpoints.

METHODS

This retrospective study analyzed thyroid test requests from January to December 2014. Each request was designated as appropriate or potentially inappropriate as per clinical practice guidelines and Choosing Wisely recommendations, and the frequencies of each testing pattern were calculated. Sub-analysis was performed to categorize testing patterns based on physician specialty. The number of test requests per patient was determined to assess the appropriateness of testing frequency. Receiver operating characteristic (ROC) curves were generated to define optimal TSH cutpoints for automatic reflex to FT4 testing.

RESULTS

Of 752,217 test requests, approximately 10% were potentially inappropriate in terms of testing patterns. Free thyroxine (FT4) and free triiodothyronine (FT3) requested with TSH accounted for 59% of all potentially inappropriate test requests, and 49% of requests from endocrinologists (ENDO) were potentially inappropriate, occurring most frequently among those with less experience. Excessive testing frequencies were observed in 869 patients, accounting for 9382 test requests. Adjustment of our TSH reflex cutpoint would significantly increase specificity for identifying a low FT4 without compromising sensitivity.

CONCLUSIONS

This study suggests that questionable testing patterns, excessive testing frequencies, and suboptimal reflexive testing cutpoints contribute to inappropriate thyroid test utilization.