| Literature DB >> 32477618 |
Bethany Jill Williams1,2, David Brettle1,2, Muhammad Aslam3, Paul Barrett4, Gareth Bryson5, Simon Cross6, David Snead7,8, Clare Verrill9, Emily Clarke1,2, Alexander Wright2, Darren Treanor1,2.
Abstract
Pathology departments must rise to new staffing challenges caused by the coronavirus disease-19 pandemic and may need to work more flexibly for the foreseeable future. In light of this, many pathologists and departments are considering the merits of remote or home reporting of digital cases. While some individuals have experience of this, little work has been done to determine optimum conditions for home reporting, including technical and training considerations. In this publication produced in response to the pandemic, we provide information regarding risk assessment of home reporting of digital slides, summarize available information on specifications for home reporting computing equipment, and share access to a novel point-of-use quality assurance tool for assessing the suitability of home reporting screens for digital slide diagnosis. We hope this study provides a useful starting point and some practical guidance in a difficult time. This study forms the basis of the guidance issued by the Royal College of Pathologists, available at: https://www.rcpath.org/uploads/assets/626ead77-d7dd-42e1-949988e43dc84c97/RCPath-guidance-for-remote-digital-pathology.pdf. Copyright:Entities:
Keywords: Digital pathology; home reporting; patient safety; remote reporting; technical specifications
Year: 2020 PMID: 32477618 PMCID: PMC7245343 DOI: 10.4103/jpi.jpi_23_20
Source DB: PubMed Journal: J Pathol Inform
Key steps for emergency remote reporting
| Seek approval of clinical lead/departmental manager |
| Access available local and national guidance on digital pathology and remote reporting |
| Ensure you have VPN connection to the departmental slide archive, and phone contact with the laboratory |
| Consider the need for a validation procedure, if the pathology has not already validated their digital pathology diagnosis |
| Be aware of the technical limitations of your home display |
| Risk assess digital diagnosis on a case by case basis |
| Mitigate and explain risk where necessary eg. seek second opinion, inform clinician of risk |
| Review the need for remote diagnosis regularly |
VPN: Virtual private network
Key properties of medical and consumer grade screens compared
| Medical grade (e.g., at Leeds Teaching Hospitals NHS trust) | Consumer grade (highest preference score of nonmedical grade displays in testing)[ | Consumer grade more suited to home working due to lower resolution and physical size | |
|---|---|---|---|
| Size (diagonal) (inches) | 31 | 32 | 24-27 |
| Resolution (Megapixels) | 6 | 8 | 3-4 |
| Contrast ratio | 1500:1 | 1000:1 | 1000:1 |
| Luminance (max) (cd/m2) | 1000 | 350 | 300 |
| Luminance (setting) (cd/m2) | 400 | 300 | 300 |
| Colour calibration | Automatic full colour calibration (sRGB <20%) | Regular calibration should be considered | Regular calibration should be considered |
| Example | Jusha C61 | Philips BDM3275UP | e.g. Dell Ultrasharp U2719D |
| Comment | High end calibrated medical grade display | Consumer grade display which got highest scores in testing[ | Typical consumer grade display practical and affordable for remote use |
sRGB: Standard red green blue
Figure 1A Point of Use QA for pathology (POUQA).[11] The image above is for illustrative purposes only – the live link in appendix B should be used to test displays
Figure 2Example of a digital slide with prominent striping artefact. (Note the vertical stripes cutting through the tissue image
Figure 3Example of a digital slide in which not all the tissue has been scanned, but the “overview image” shows the missing area
Areas of digital diagnostic difficulty by topography[12]
| Histopathology subspecialty | Potential pitfalls |
|---|---|
| General | Identification and grading of dysplasia |
| Identification of lymph node metastasis and micrometastasis | |
| Identification and quantification of mitotic figures | |
| Identification of granulation tissue | |
| Identification of microorganisms | |
| Breast | Identification and grading of nuclear atypia |
| Identifying microinvasion and lymphovascular space invasion | |
| Identification of lobular carcinoma | |
| Grading invasive cancers (mitotic count component) | |
| Identification of Weddellite calcification Identification of sentinel lymph node metastasis/micrometastasis | |
| Skin and soft tissue | Identification and grading of squamous dysplasia |
| Microorganism detection | |
| Granulomatous inflammation | |
| Melanocytic lesions | |
| Granulocyte identification and classification | |
| Identification of sentinel node metastasis | |
| Identification of amyloid | |
| Identification of lymphoproliferative disease/malignancy | |
| Endocrine | Identification of granulomata |
| Identification of lymph node metastasis | |
| Identification of amyloid in medullary carcinoma of the thyroid classification of thyroid neoplasms- | |
| identification of cellular papillary features | |
| Identification of mitoses and atypical mitoses | |
| Genitourinary | Identification and grading of urothelial dysplasia |
| Identification of microorganisms | |
| Identification of granulomatous inflammation | |
| Identification and classification of inflammatory cells (especially granulocytes) | |
| Identification of amyloid | |
| Identification of lymphoproliferative disease/malignancy grading renal carcinoma (nuclear features) | |
| Gastrointestinal | Identification and grading of esophageal dysplasia Identification of focal activity in inflammatory bowel disease |
| Identification of eosinophils in esophageal biopsies | |
| Identification of granulomata | |
| Identification of microorganisms - particularly | |
| Gynecological | Identifying and grading cervical dysplasia |
| Identifying metastasis/micrometastasis | |
| Assessing endometrial atypia | |
| Identifying mitotic figures (particularly in soft tissue uterine lesions) | |
| Identifying mucin | |
| Head and neck | Identification and grading of squamous dysplasia |
| Identification of microorganisms including fungal forms | |
| Identification of granulomata | |
| Identification and typing of inflammatory cells | |
| Hepatobiliary/pancreatic | Interpretation of liver special stains |
| Identification of dysplastic epithelium (particularly gall bladder) | |
| Identification and typing of inflammatory cells | |
| Neuropathology | Identification of granulomata |
| Identification and assessment of mitotic figures | |
| Identification of necrosis | |
| Identification of eosinophilic granular bodies | |
| Assessment of nuclear features | |
| Cardiothoracic | Identification of dysplasia/malignancy in small biopsy specimens |
| Identification of microorganisms including mycobacteria | |
| Identification of granulomatous inflammation | |
| Identification of micrometastasis in EBUS specimens |