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Razzano D, Puranam K, Tomoka T, Fedoriw Y. The role of telepathology in improving cancer diagnostic and research capacity in sub-Saharan Africa. Front Med (Lausanne) 2022; 9:978245. [PMID: 36325383 PMCID: PMC9618672 DOI: 10.3389/fmed.2022.978245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
Non-communicable disease (NCD), including cancer, disproportionately affect Low- and Middle-Income Countries (LMICs). This inequity is in part due to limitations of pathology services, both human and infrastructural. While significant improvements have been made to address these gaps, creative approaches that are mindful of regional priorities, cultural differences, and unique local challenges are needed. In this perspective, we will describe the implementation of telepathology services in sub-Saharan Africa (SSA) that serve as cornerstones for direct patient care, multi-disciplinary care coordination, research programs, and building human capacity through training. Models and challenges of system implementation, sustainability, and pathologist engagement will be discussed. Using disease and site-specific examples, we will suggest metrics for quality control and improvement initiatives that are critical for providing high-quality cancer registry data and necessary for future implementation of therapeutic and interventional clinical trials.
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Affiliation(s)
- Dana Razzano
- Department of Pathology, Stanford University, Stanford, CA, United States
| | - Kaushik Puranam
- School of Medicine, Georgetown University, Washington, DC, United States
| | - Tamiwe Tomoka
- Department of Pathology, UNC Project Malawi Cancer Program, Lilongwe, Malawi
| | - Yuri Fedoriw
- Department of Pathology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Yuri Fedoriw
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Chipidza FE, Kayembe MKA, Nkele I, Efstathiou JA, Chabner BA, Abramson J, Dryden-Peterson SL, Sohani AR. Accuracy of Pathologic Diagnosis in Patients With Lymphoma and Survival: A Prospective Analysis From Botswana. JCO Glob Oncol 2021; 7:1620-1632. [PMID: 34860565 PMCID: PMC8654434 DOI: 10.1200/go.21.00209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE With intense HIV epidemics, southern African countries have a high burden of classic Hodgkin lymphoma (CHL) and non-Hodgkin lymphoma (NHL). However, suboptimal access to pathology resources limits subtype classification. We sought to assess the diagnostic accuracy of specimens classified as lymphoma and to determine association between discordant pathologic diagnosis and overall survival. METHODS Seventy patients with CHL or NHL and treated at three Botswana hospitals from 2010 to 2016 were analyzed. Local pathologic assessment relied primarily on morphology. All cases underwent secondary US hematopathology review, which is considered gold standard. RESULTS The median follow-up was 58 months. The overall reclassification rate was 20 of 70 cases (29%). All 20 CHL cases were correctly classified in Botswana, and mixed cellularity was the most common subtype, diagnosed in 11 (55%) cases. Of 47 confirmed NHL cases, diffuse large B-cell lymphoma was the final US diagnosis in 28 cases (60%), another aggressive B-cell NHL in nine (19%), an indolent B-cell NHL in six (13%), and T-cell NHL in four (9%). Common types of diagnostic discordance included NHL subtype reclassification (11 of 20, 55%) and CHL reclassified as NHL (7 of 20, 35%). Concordant versus discordant diagnosis after secondary review was associated with improved 5-year overall survival (60.1% v 26.3%, P = .0066). Discordant diagnosis was independently associated with increased risk of death (adjusted hazard ratio 2.733; 95% CI, 1.102 to 6.775; P = .0300) even after stratifying results by CHL versus NHL. CONCLUSION In this single prospective cohort, discordant pathologic diagnosis was associated with a nearly three-fold increased risk of death. Limited access to relatively basic diagnostic techniques impairs treatment decisions and leads to poor patient outcomes in low-resource countries.
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Affiliation(s)
- Fallon E Chipidza
- Harvard Radiation Oncology Program, Harvard Medical School, Boston, MA.,Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA
| | - Mukendi K A Kayembe
- University of Botswana, Gaborone, Botswana.,Ministry of Health, Gaborone, Botswana
| | - Isaac Nkele
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Jason A Efstathiou
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA
| | | | | | - Scott L Dryden-Peterson
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Aliyah R Sohani
- Department of Pathology, Massachusetts General Hospital, Boston, MA
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Utilization and predictors of postmastectomy radiation receipt in an Oncology Center in Zimbabwe. Breast Cancer Res Treat 2021; 189:701-709. [PMID: 34387794 DOI: 10.1007/s10549-021-06338-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/18/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Few sub-Saharan African studies have ascertained utilization for postmastectomy radiation (PMRT) for breast cancer, the second most common cancer among African women. We estimated PMRT utilization and identified predictors of PMRT receipt in Zimbabwe. METHODS Retrospective patient cohort included non-metastatic breast cancer patients treated from 2014 to 2019. PMRT eligibility was assigned per NCCN guidelines. Patients receiving chemotherapy for non-metastatic disease were also included. The primary endpoint was receipt of PMRT, defined as chest wall with/without regional nodal radiation. Predictors of receiving PMRT were identified using logistic regression. Model performance was evaluated using the c statistic and Hosmer-Lemeshow test for goodness-of-fit. RESULTS 201 women with localized disease and median follow-up of 11.4 months (IQR 3.3-17.9) were analyzed. PMRT was indicated in 177 women and utilized in 59(33.3%). Insurance coverage, clinical nodal involvement, higher grade, positive margins, and hormone therapy receipt were associated with higher odds of PMRT receipt. In adjusted models, no hormone therapy (aOR 0.12, 95% CI 0.043, 0.35) and missing grade (aOR 0.07, 95% CI 0.01, 0.38) were associated with lower odds of PMRT receipt. The resulting c statistic was 0.84, with Hosmer-Lemeshow p-value of 0.93 indicating good model fit. CONCLUSION PMRT was utilized in 33% of those meeting NCCN criteria. Missing grade and no endocrine therapy receipt were associated with reduced likelihood of PMRT utilization. In addition to practice adjustments such as increasing hypofractionation and increasing patient access to standard oncologic testing at diagnosis could increase postmastectomy utilization.
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He X, Wang L, Wang L, Gao J, Cui F, Ma Q, Zhang W, Wang L, Zhai Y, Zhao J. Effectiveness of a Cloud-Based Telepathology System in China: Large-Sample Observational Study. J Med Internet Res 2021; 23:e23799. [PMID: 34326037 PMCID: PMC8367172 DOI: 10.2196/23799] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/18/2020] [Accepted: 05/24/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Whole-slide imaging allows the entire slide to be viewed in a manner that simulates microscopy; therefore, it is widely used in telepathology. However, managing the large digital files needed for whole-slide imaging is difficult. To solve this problem, we set up the Chinese National Cloud-Based Telepathology System (CNCTPS). CNCTPS has been running for more than 4 years and has accumulated a large amount of data. OBJECTIVE The main purpose of this study was to comprehensively evaluate the effectiveness of the CNCTPS based on a large sample. The evaluation indicators included service volume, turnaround time, diagnosis accuracy, and economic benefits. METHODS Details of 23,167 cases submitted to the CNCTPS from January 2016 to December 2019 were collected to analyze the service volume, turnaround time, and economic benefits. A total of 564 patients who visited the First Affiliated Hospital of Zhengzhou University and obtained final diagnoses were followed up to analyze the diagnostic accuracy of the CNCTPS. RESULTS From 2016 to 2019, the service volume of the CNCTPS increased from 2335 to 9240, and the number of participating hospitals increased from 60 to 74. Consultation requests from county-level hospitals accounted for 86.57% (20,287/23,167). A total of 17,495 of 23,167 cases (75.52%) were confirmed, including 12,088 benign lesions, 5217 malignant lesions, and 190 borderline lesions. Of the cases, 3.85% (893/23,167) failed to be diagnosed for reasons such as poor slice quality and incomplete sampling. The median turnaround time was 16.93 hours and was shortened yearly (between 2018 and 2019: adjusted P=.01; other groups: adjusted P<.001); 82.88% cases were diagnosed in 48 hours. There was a discrepancy between the diagnosis and final diagnosis for 11 cases, including 4 false-positive cases and 7 false-negative cases. The sensitivity and specificity were 97.66% and 98.49%, respectively. The diagnostic accuracy of the system was 98.05%, with no statistical difference from the final diagnosis in the hospital (P=.55). By using this system, a total of US $300,000 was saved for patients every year. CONCLUSIONS The novel cloud-based telepathology system has the potential to relieve the shortage of pathologists in primary hospitals. It can also simultaneously reduce medical costs for patients in China. It should, therefore, be further promoted to enhance the efficiency, quantity, and quality of telepathology diagnoses.
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Affiliation(s)
- Xianying He
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Linlin Wang
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Wang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinghong Gao
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China
| | - Fangfang Cui
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qianqian Ma
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenjie Zhang
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China
| | - Lin Wang
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yunkai Zhai
- School of Management Engineering, Zhengzhou University, Zhengzhou, China
| | - Jie Zhao
- National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China
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Cui F, He X, Zhai Y, Lyu M, Shi J, Sun D, Jiang S, Li C, Zhao J. Application of Telemedicine Services Based on a Regional Telemedicine Platform in China From 2014 to 2020: Longitudinal Trend Analysis. J Med Internet Res 2021; 23:e28009. [PMID: 34255686 PMCID: PMC8314158 DOI: 10.2196/28009] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/08/2021] [Accepted: 05/06/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Telemedicine that combines information technology and health care augments the operational model of traditional medical services and brings new opportunities to the medical field. China promotes telemedicine with great efforts, and its practices in the deployment of telemedicine platforms and delivery of services have become important references for the research and development in this field. OBJECTIVE Our work described in this paper focuses on a regional telemedicine platform that was built in 2014. We analyzed the system design scheme and remote consultations that were conducted via the system to understand the deployment and service delivery processes of a representative telemedicine platform in China. METHODS We collected information on remote consultations conducted from 2015 to 2020 via the regional telemedicine platform that employs a centralized architectural system model. We used graphs and statistical methods to describe the changing trends of service volume of remote consultation, geographical and demographic distribution of patients, and waiting time and duration of consultations. The factors that affect consultation duration and patient referral were analyzed by multivariable linear regression models and binary logistic regression models, respectively. The attitudes toward telemedicine of 225 medical practitioners and 225 patients were collected using the snowball sampling method. RESULTS The regional telemedicine platform covers all levels of medical institutions and hospitals in all 18 cities of Henan Province as well as some interprovince hospitals. From 2015 to 2020, 103,957 remote medical consultations were conducted via the platform with an annual increasing rate of 0.64%. A total of 86.64% (90,069/103,957) of medical institutions (as clients) that applied for remote consultations were tier 1 or 2 and from less-developed regions; 65.65% (68,243/103,945) of patients who applied for remote consultations were aged over 50 years. The numbers of consultations were high for departments focusing in the treatment of chronic diseases such as neurology, respiratory medicine, and oncology. The invited experts were mainly experienced doctors with senior professional titles. Year of consultation, tier of hospital, consultation department, and necessity of patient referral were the main factors affecting the duration of consultations. In surveys, we found that 60.4% (136/225) of medical practitioners and 53.8% (121/225) of patients had high satisfaction and believed that telemedicine is of vital importance for the treatment of illness. CONCLUSIONS The development of telemedicine in China shows a growing trend and provides great benefits especially to medical institutions located in less developed regions and senior citizens who have less mobility. Cases of remote consultations are mainly for chronic diseases. At present, the importance and necessity of telemedicine are well recognized by both patients and medical practitioners. However, the waiting time needs to be further reduced to improve the efficiency of remote medical services.
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Affiliation(s)
- Fangfang Cui
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xianying He
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yunkai Zhai
- School of Management Engineering, Zhengzhou University, Zhengzhou, China
| | - Minzhao Lyu
- School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia
| | - Jinming Shi
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dongxu Sun
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuai Jiang
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chenchen Li
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Zhao
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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