Creation of a fully digital pathology slide archive by high-volume tissue slide scanning

Huisman, André; Looijen, Arnoud; Brink, Steven M. van den; Diest, Paul J. van

doi:10.1016/j.humpath.2009.08.026

Cited by 93 publications

(111 citation statements)

References 20 publications

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“…Different scanning techniques are also used for creating images: line scanning (based on precisely moving a motorized stage with the object line by line) or area scanning with a CCD camera (charge coupled device) which successively takes digital pictures as a series of rectangular tiles of the object field. The strips or tiles are assembled into a WSI either concurrently or after the scanning is finished [12]. Different scanner magnifications are obtained from various lenses and numerical apertures; most commonly used are a 20 and 40 magnification.…”

Section: Microscope Slide Scannersmentioning

confidence: 99%

“…They can also prove to be interesting material for teaching purposes. -The digital images are frequently the only patient documentation left over after cellular material from slides has been 'scraped off' in cases where ensuing molecular testing becomes necessary [12].…”

Section: Digital Archivingmentioning

confidence: 99%

“…Over many years light microscopy was the only instrument capable of doing this, where improvements had been made in optical devices and in enhancing the resolution of microscope images [12]. Indeed, routine pathological diagnosis is still performed on slides by light microscopy as standard.…”

Section: Introductionmentioning

confidence: 99%

“…WSI. This combines the advantages of camera images obtained in realtime mode (availability of WSI) with those of high resolution digital cameras [12,16].…”

Section: Introductionmentioning

confidence: 99%

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Future perspectives of digital pathology

Prochorec‐Sobieszek

2016

Nowotwory. Journal of Oncology

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Technological advances have enabled innovative solutions to be achieved in pathology based on digital imaging, now superseding those of conventional microscopy. Digital pathology has been defined as 'virtual microscopy' and depends on computer-generated digital imaging of microscope slides (WSI -whole slide imaging) which are in turn created, reviewed, managed, shared, analysed and interpreted. Such WSI systems and digital consulting platforms are now used for teaching, scientific research, telepathology / teleconsultation and diagnostics. They also permit easy and interactive sharing of WSI that can be integrated into other medical information systems. The software for automated image analysis and computer aided diagnosis can thereby make highly accurate diagnoses and help standardise study findings. Despite the technique's many advantages, its noted drawbacks include high equipment and software costs, image quality issues of standardisation and most importantly, that pathologists are reluctant to use it routinely for making diagnoses. NOWOTWORY J Oncol 2016; 66, 4: 277-285

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Section: Microscope Slide Scannersmentioning

confidence: 99%

Section: Digital Archivingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…WSI. This combines the advantages of camera images obtained in realtime mode (availability of WSI) with those of high resolution digital cameras [12,16].…”

Section: Introductionmentioning

confidence: 99%

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Future perspectives of digital pathology

Prochorec‐Sobieszek

2016

Nowotwory. Journal of Oncology

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“…Thus, fully digital pathology archives are already feasible. 12 This development of scanning equipment has in turn prompted the development of automatic image analysis methods of histopathology images that aim at reducing or completely eliminating the manual input to the quantitative analysis of the tissue. 13 In this study, we demonstrate the usefulness of automatic image analysis in breast cancer grading by employing a segmentation method to extract prognostically relevant morphometric features related to size from cancer nuclei in male breast cancer patients.…”

mentioning

confidence: 99%

Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer

Veta¹,

Kornegoor

Huisman

et al. 2012

Modern Pathology

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Numerous studies have shown the prognostic significance of nuclear morphometry in breast cancer patients. Wide acceptance of morphometric methods has, however, been hampered by the tedious and time consuming nature of the manual segmentation of nuclei and the lack of equipment for high throughput digitization of slides. Recently, whole slide imaging became more affordable and widely available, making fully digital pathology archives feasible. In this study, we employ an automatic nuclei segmentation algorithm to extract nuclear morphometry features related to size and we analyze their prognostic value in male breast cancer. The study population comprised 101 male breast cancer patients for whom survival data was available (median follow-up of 5.7 years). Automatic segmentation was performed on digitized tissue microarray slides, and for each patient, the mean nuclear area and the standard deviation of the nuclear area were calculated. In univariate survival analysis, a significant difference was found between patients with low and high mean nuclear area (P ¼ 0.022), while nuclear atypia score did not provide prognostic value. In Cox regression, mean nuclear area had independent additional prognostic value (P ¼ 0.032) to tumor size and tubule formation. In conclusion, we present an automatic method for nuclear morphometry and its application in male breast cancer prognosis. The automatically extracted mean nuclear area proved to be a significant prognostic indicator. With the increasing availability of slide scanning equipment in pathology labs, these kinds of quantitative approaches can be easily integrated in the workflow of routine pathology practice.

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