| Literature DB >> 33008380 |
Hannes-Viktor Ziegenhorn1, Kirstin Grosse Frie1, Ima-Obong Ekanem2,3, Godwin Ebughe2,3, Bakarou Kamate4, Cheick Traore4, Charles Dzamalala5, Olufemi Ogunbiyi6,7, Festus Igbinoba8, Biying Liu9,10, Marcus Bauer11, Christoph Thomssen12, Donald Maxwell Parkin9,10,13, Claudia Wickenhauser11, Eva Johanna Kantelhardt14,15.
Abstract
BACKGROUND: Pathologists face major challenges in breast cancer diagnostics in sub-Saharan Africa (SSA). The major problems identified as impairing the quality of pathology reports are shortcomings of equipment, organization and insufficiently qualified personnel. In addition, in the context of breast cancer, immunohistochemistry (IHC) needs to be available for the evaluation of biomarkers. In the study presented, we aim to describe the current state of breast cancer pathology in order to highlight the unmet needs.Entities:
Keywords: Guidelines; Immunohistochemistry; Pathology; Population-based cancer registry; Sub-Saharan Africa
Mesh:
Year: 2020 PMID: 33008380 PMCID: PMC7531092 DOI: 10.1186/s12913-020-05752-y
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Requirements for breast cancer pathologies depending on the tier according to Sayed S. et al. [9], and Fleming KA et al. [11]
| Tier 21 | Tier 3/ Tier 4 (Includes Tier 2 Capabilities)2,3 | |
|---|---|---|
| 50,000–200,000 | 3–6 million | |
| 1 general pathologist, 6 laboratory technicians and pathology assistants | 4 pathologists, 2 clinical scientists, 20 technicians and pathology assistants | |
| Paper, electronic, or (preferred) laboratory information system | Electronic or laboratory information system | |
| Anatomic pathology: FNAC, tissue biopsies, and surgical excisions-processing, H&E stain, and interpretation | Anatomic pathology: special stains, including immunohistochemistry | |
| Report to other registries | Hospital-based registry/ population-based registry | |
| Progressing towards accreditation, such as SLIPTA | National or international accreditation, such as ISO 15189 or other | |
| FNAC and biopsy fixation, microscope, tissue processor, microtome for anatomic pathology, refrigerator | Automated tissue processor, immunohistochemistry station, freezer |
1 Tier 2: Laboratories in district hospitals that receive specimens from their own patients and receive referrals from tier 1 facilities
2 Tier 3: Laboratories in regional or provincial hospitals that receive specimens from their own patients and receive referrals from tier 1 and 2 facilities
3 Tier 4: Laboratories in national or teaching hospitals that receive specimens from their own patients and receive referrals from tier 1, 2 and 3 facilities
Abbreviations: FNAC Fine-needle aspiration cytology, H&E Hematoxylin and Eosin, ER Estrogen, PR Progesterone, SLIPTA Stepwise Laboratory Quality Improvement Process Towards Accreditation
General information about pathology centres
| Country | Cancer registry location | Population1 | BC cases | Pathology Facilities | Pathologists | Population per pathologist | Laboratories with IHC | Oncologist | Radiotherapy | BC Cases3 | Breast tumor board | IHC |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| In the cancer registry area | In the pathology centre | |||||||||||
| Cotonou | 679.000e | 752 | 5 | 4 | 170.000 | 1 | Yes | No | 53 | Yes | Yes | |
| Addis Ababa | 3.050.000d | 450 | 8 | 27 | 113.000 | 1 | Yes | Yes | 225 | Yes | Yes | |
| Kumasi | 2.173.000c | 592 | 6 | 5 | 435.000 | 3 | Yes | Yes | 47 | Yes | Yes | |
| Conakry | 1.668.000f | 452 | 2 | 3 | 556.000 | 0 | Yes | No | 16 | Yes | No | |
| Abidjan | 4.707.000f | 500 | 5 | 12 | 392.000 | 2 | Yes | No | 300 | Yes | No | |
| Eldoret | 894.000b | 88 | 3 | 5 | 179.000 | 3 | Yes | No | 75 | No | Yes | |
| Blantyre | 952.000g | 43 | 1 | 3 | 317.000 | 0 | Yes | No | 37 | No | No | |
| Bamako | 1.810.000b | 200 | 1 | 5 | 362.000 | 0 | Yes | Yes | 160 | Yes | No | |
| Mauritius | 1.263.000g | 483 | 4 | 11 | 115.000 | 2 | Yes | Yes | 386 | Yes | Yes | |
| Beira | 458.000e | 162 | 1 | 3 | 153.000 | 0 | No | No | 10 | No | No | |
| Ibadan | 2.549.000a | 366 | 3 | 7 | 364.000 | 1 | Yes | Yes | 293 | Yes | No | |
| Abuja | 2.442.000g | 220 | 5 | 9 | 271.000 | 6 | Yes | Yes | 110 | Yes | Yes | |
| Calabar | 2.893.000g | 154 | 3 | 6 | 482.000 | 1 | Yes | No | 154 | Yes | No | |
| Brazzaville | 1.830.000f | 234 | 1 | 1 | 1.830.000 | 1 | Yes | No | 234 | Yes | Yes | |
| Seychelles | 90.000e | 35 | 1 | 3 | 30.000 | 1 | Yes | No | 33 | No | Yes | |
| Free Town | 1.056.000g | 40 | 1 | 1 | 1.056.000 | 0 | No | No | 16 | No | No | |
| Swaziland | 1.104.000g | 93 | 1 | 2 | 552.000 | 0 | Yes | No | 93 | Yes | No | |
| Gulu | 762.000f | 1242 | 1 | 4 | 191.000 | 1 | Yes | No | 112 | No | No | |
| Kampala | 2.376.000c | 84 | 8 | 15 | 158.000 | 3 | Yes | Yes | 42 | Yes | Yes | |
| Harare | 1.469.000d | 493 | 5 | 9 | 163.000 | 2 | Yes | Yes | 296 | Yes | Yes | |
Abbreviations: BC Breast Cancer, IHC Immunohistochemistry
1Most recent population (a2006, b2009, c2010, d2012, e2013, f2014, g2015), nearest 1000
2Case number for 2015 was not available, as a substitute, the average number of cases in other years was calculated:
Benin (2013–2015), Ghana (2012), Guinea (2001–2010), Mozambique (2019–2013), Uganda (2008–2012)
3Number was calculated from the estimated proportion of the total number in the cancer registry area
Fig. 1Timing and conditions of specimen transport to the pathology centre (n = 20 centres). The multiple centres in Nigeria and Uganda each operated independently
Fig. 2Cooling, storage and immunohistochemistry capabilities. FFPE, formalin-fixed paraffin-embedded; IHC, immunohistochemistry. The multiple centres in Nigeria and Uganda each operated independently