The College of American Pathologists and National Society for Histotechnology Workload Study

Kohl, Shane K.; Lewis, Sue; Tunnicliffe, Janet; Lott, Robert L.; Spencer, Lena T.; Carson, Freida L.; Souers, Rhona J.; Knapp, Robert H.; Movahedi–Lankarani, Saeid; Haas, Thomas; Brown, Richard W.

doi:10.5858/2010-0288-cp.1

Cited by 13 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is conceivable that a similar operation can be developed to scan a continuous stream of standard FFPE blocks on indexed carriers on a conveyor belt, particularly in combination with automated sectioning systems 27 . This level of automation may help to streamline the workflow in centralised pathology test centres 28 …”

Section: Discussionmentioning

confidence: 99%

X‐ray microtomosynthesis of unstained pathology tissue samples

Nguyen

Larsen

Wang

et al. 2021

Journal of Microscopy

View full text Add to dashboard Cite

In pathology protocols, a tissue block, such as one containing a mouse brain or a biopsy sample from a patient, can produce several hundred thin sections. Substantial time may be required to analyse all sections. In cases of uncertainty regarding which sections to focus on, noninvasive scout imaging of intact blocks can help in guiding the pathology procedure. The scouting step is ideally done in a time window of minutes without special sample preparation that may interfere with the pathology procedures. The challenge is to obtain some visibility of unstained tissue structures at sub‐10 µm resolution. We explored a novel x‐ray tomosynthesis method as a way to maximise contrast‐to‐noise ratio, a determinant of tissue visibility. It provided a z‐stack of thousands of images at 7.3 μm resolution (10% contrast, half‐period of 68.5 line pairs/mm), in scans of 5‐15 minutes. When compared with micro‐CT scans, the straight‐line tomosynthesis scan did not need to rotate the sample, which allowed flat samples, such as paraffin blocks, to be kept as close as possible to the x‐ray source. Thus, given the same hardware, scan time and resolution, this mode maximised the photon flux density through the sample, which helped in maximising the contrast‐to‐noise ratio. The tradeoff of tomosynthesis is incomplete 3D information. The microtomosynthesis scanner has scanned 110 unstained human and animal tissue samples as part of their respective pathology protocols. In all cases, the z‐stack of images showed tissue structures that guided sectioning or provided correlative structural information. We describe six examples that presented different levels of visibility of soft tissue structures. Additionally, in a set of coronary artery samples from an HIV patient donor, microtomosynthesis made a new discovery of isolated focal calcification in the internal elastic lamina of coronary wall, which was the onset of medial calcific sclerosis in the arteries.

show abstract

Section: Discussionmentioning

confidence: 99%

X‐ray microtomosynthesis of unstained pathology tissue samples

Nguyen

Larsen

Wang

et al. 2021

Journal of Microscopy

View full text Add to dashboard Cite

show abstract

Histopathology: ditch the slides, because digital and 3D are on show

et al. 2018

View full text Add to dashboard Cite

Due to the growing field of digital pathology, more and more digital histology slides are becoming available. This improves the accessibility, allows teleconsultations from specialized pathologists, improves education, and might give urologist the possibility to review the slides in patient management systems. Moreover, by stacking multiple two-dimensional (2D) digital slides, three-dimensional volumes can be created, allowing improved insight in the growth pattern of a tumor. With the addition of computer-aided diagnosis systems, pathologist can be guided to regions of interest, potentially reducing the workload and interobserver variation. Digital (3D) pathology has the potential to improve dialog between the pathologist and urologist, and, therefore, results in a better treatment selection for urologic patients.

show abstract