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Comparison of Three Screening Methods for Cervical Cancer in China - A Systematic Study of 3,300 Cases in Rural Areas of Shanxi Province
ISSN: 2157-7099

Journal of Cytology & Histology
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Comparison of Three Screening Methods for Cervical Cancer in China - A Systematic Study of 3,300 Cases in Rural Areas of Shanxi Province

Dong Yan1*, Bai Jigeng1*, Zhang Yuping1, Shang Guang Jie2, Zhao Yan1 and Dongfeng Tan3
1Shanxi Maternal and Child Health Care Hospital, Shanxi, Taiyuan, PR China
2Beijing Fulin Guangzhi Medical Technology Co Ltd, Beijing, PR China
3UT MD Anderson Cancer Center, Huston, Texas, USA
*Corresponding Author(s): Dong Yan, Maternal and Child Health Hospital, No. 13 Xinmin North Street, Xinghualing District, Taiyuan, Shanxi Province, PR China, Tel: 13753114960, Email: [email protected]
Bai Jigeng, Maternal and Child Health Hospital, No. 13 Xinmin North Street, Xinghualing District, Taiyuan, Shanxi Province, PR China, Tel: 13994250697, Email: [email protected]

Received Date: Nov 15, 2017 / Accepted Date: Dec 20, 2017 / Published Date: Dec 26, 2017

Abstract

Objective: Reaching women in rural China is one of the major public health problem today and even though various methodologies were introduced they had limited or no success. The goal of our study was to investigate the usefulness of DNA quantitative assessment (ploidy) in comparison with conventional cytology (LBC) and HPV testing and its possible role in the clinical practice for rural women. Methods: In collaboration with Shanxi Women and Children Health Center we finished a study in Shanxi Province (3300 women) using Image cytometer. Each women underwent HPV testing, liquid based cytology screening (LBC) using manual and semi-automated analysis based on DNA ploidy and EA50 staining (on the same slide). All positive cases by any method were invited for colposcopy and biopsy. Results: Our results showed that DNA ploidy in combination with EA50 have superior performance in comparison with LBC or HPV method. Conclusion: Automated combined qualitative and quantitative image cytometry is a very good candidate for screening in low resource settings in China where the conventional cytology or LBC reading cannot be performed due to the lack of adequate infrastructure and trained cytotechnologists or cytopathologists. Furthermore digitalization of images open a door for data transfer and cloud computing which in turn can improve access to proper medical care in rural China.

Keywords: Cervical cancer screening; DNA ploidy; Automated analysis; Cytology

Background

Cervical cancer is a high incidence cancer. Particularly, in China, it represents the commonest malignancy among the female reproductive organ systems. The Chinese registry reported an age-adjusted cervical cancer incidence rate of 8.9 per 100,000 women in China with approximately 131,500 new cases every year, and thus accounts for 28.8% of the overall world’s new cases [1,2]. Incidence rates in young women are growing approximately at a rate of 2-4% per year [3]. The prevalence of cervical cancer in China increased from 8.2/100,000 in 1999 to 15.1/100,000 in 2010, and in Shanxi province the rate was 40.7/100,000 in 2010, the highest in the country [4]. The numbers must be taken with caution, because of the high disparity between urban and rural areas therefore the national mortality and incidence rates should be interpreted cautiously [5]. The numbers clearly show that early screening and detection of cervical precancerous lesions together with the early treatment is an important preventative healthcare measure.

From 2011-2014, we performed screening of 1.349 million women aged 35-64, in the rural areas in Shanxi province. According to our own data, cervical cancer detection rate was 6.1/10,000 (816/1,349,000) and the precancerous lesion detection rate was 34.62/10,000 (4,669/1,349,000). The detection of pre-cancerous lesions was relatively lower compared to publish data, indicating that primary healthcare institutions need to do more to improve their approach to cervical cancer screening.

Finding a safe, reliable, easy, and affordable screening method to screen cervical cancer for a large-scale population became our top priority. In our study, we compared three methods suggested previously for screening [6,7]. Conventional liquid-based cytology (LBC), HPV detection, and automated combined DNA ploidy using image analysis. We compared test results against colposcopy and biopsy diagnoses, which ranged from cervical intraepithelial neoplasia (CIN) to cancer. We evaluated each test application and cost/benefit value for a largescale cervical cancer screening programs. We also looked at the ASCUS group and how it compared when detection is done by each of three methods.

Materials and Methods

General information

From October to December 2014, we randomly selected 3,300 rural women at the age range from 35 to 64 from four counties in Shanxi province, who were also participating in the HPV pilot project. These women were screened for cervical cancer by three screen modalities, namely LBC, HPV-care, and combined DNA ploidy with EA50 stain analysis. If a sample was positive with any of the three test methods, we invited women for colposcopy and subsequent biopsy to obtain a histopathological diagnosis, which is considered gold standard.

Methods

Collection of samples for conventional cytology and combined DNA ploidy analysis: It was done with collection kits provided by Landing Cervical Cancer Screening Center, Wuhan, China. The collection kits included a cervical brush, a jar with fixative and requisition form with the same bar code as a bar-code on the jar with fixative for easy computer entry and identification, as well as quality assurance. Briefly, the standard procedure is as follows: Using a vaginal dilator to provide a direct visualization of cervix, a specially trained gynecologist collected samples at designated clinics. Cervical brush was rotated clockwise 3-5 times around the cervix to collect epithelial cells and then the head of the brush was detached and placed in the jar with fixative, after which it was shook gently 3-5 times to release the cells from the brush into the fixative solution. After verifying the information on the jar’s label and requisition form, the sample was sent to Shanxi Maternal and Child Hospital for further preparation, slide staining and analysis.

Collection of samples for high-risk HPV testing: It was done by using the HPV-care brush from Qiagen Bioengineering Co., Ltd. Germany. The brush was inserted into the cervical canal and rotated 3 times in the counterclockwise direction, according to the manufacturer instructions, placed into a special medium provided by Qiagen Bioengineering Co Ltd, ID verified by the staff, and sent to the designated laboratory for testing.

Liquid-based thin layer preparation and staining: Each cytology sample was used to make two slides, one for conventional cytology and one for automated combined DNA ploidy analysis. The conventional cytology slide was stained with Papanicolaou stain, while the DNA ploidy analysis slide was stained with a DNA-specific staining kit provided by Lanading Cervical Cancer Screening Center Hubei, Wuhan. The kit contained detailed instruction about two step staining process. The first step was DNA specific stain followed by EA50 staining of the same slide.

High-risk HPV testing with HPV-care: was done using Qiagen Bioengineering’s second generation American hybrid capture method (HC2). The HPV-DNA mixed probe kit used a 96-well plate to detect 14 different subtypes of HPV (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, and 68), with 1 pg/mL of HPV DNA as the criteria for a positive diagnosis.

Conventional cytology: All Papanicolaou-stained slides were independently read by at least 2 cytopathologists from our hospital. The slides were assessed according to the five diagnostic categories of the revised Bethesda System (TBS): 1. Normal or Benign, 2. Atypical Squamous Cells of Unknown Significance (ASCUS), 3. Low Grade Squamous Intraepithelial Lesion (LSIL), 4. High Grade Squamous Intraepithelial Lesion (HSIL), and 5. Squamous Cell Carcinoma (SCC). For quality control purposes, we randomly selected 20% of positive and 10% of negative slides and assessed them again.

Automated DNA ploidy analysis with EA50 counterstaining: Slides were stained with a DNA-specific staining kit (Wuhan Landing Cervical Cancer Screening Center, Wuhan, China) using modified Feulgen reaction with Thionin. As a second step the same slides were stained with EA50 in order to make cell cytoplasm visible. After coversliping slides were scanned by an automated image cytometer Cyto System (Wuhan Landing Cervical Cancer Screening Center). The system captured images from 1,080 fields of view, and from each object captured the amount of DNA was measured together with over 400 different nuclear and cell features. The system is designed to recognize nuclei of each cell based on indexed data set in the background. DNA content was expressed as a quantitative DNA index with a unit of C. Cells in the G0 (resting) and G1 (gap 1) phases have 23 pairs of chromosomes in the nucleus and are referred to as diploid, or 2C cells. In the S phase (DNA synthesis), there are between 23 and 46 pairs of chromosomes, therefore some nuclei may appear “aneuploidy”. For example, 3C cells or 4C (tetraploid) nuclei may be in the G2 (gap 2) phase of late stage DNA synthesis. The diagnostic criteria for abnormal DNA ploidy was 5C or above, i.e. over 2.5 times the normal amount of DNA. In addition the analytical software in cytometer combines entire cell morphology characteristics as well.

Colposcopy and pathology evaluation: All women with ASCUS or worse lesions in LBC, positive in HPV-care testing, or had cells with DNA ploidy of over 5C in quantitative DNA ploidy analysis were referred to colposcopy and subsequent biopsy of suspicious areas, performed by specially trained and experienced colposcopy doctors. If biopsy was taken that specimens was placed in 10% formalin fixative, and after verification of the labels and requisition forms to ensure correct ID, sent for examination by a qualified pathologist in the pathology department of Shanxi Medical University. The pathologist issued a diagnostic report, and the chief pathologist of Shanxi Province Cancer Hospital performed quality control checkup on a randomly selected subset of samples.

Pathology (histology) classifications were classified as follows: Mild Cervical Intraepithelial Neoplasia (CIN I), Moderate Cervical Intraepithelial Neoplasia (CIN II), High-grade Cervical Intraepithelial Neoplasia (CIN III), and invasive Cervical Cancer (CC).

Results

We calculated the detection rate of LBC (ASCUS or worse lesion), HPV-care positive, and abnormal DNA ploidy. LBC positive detection rate was 5.26%, with a diagnosis accuracy rate of 22.49~54.55%; HPV positive detection rate was 16.85%, with a diagnostic accuracy rate of 63.64~100%; DNA ploidy positive rate was 4.83%, with a diagnostic accuracy rate of 85.71~100%. Table 1 summarizes the positive rates detected by three tested methods.

Screening method Number of cases Number of positive cases Positive detection rate Inadequate samples Inadequate sample rate
HPV 3300 556 16.85% _ _
LBC 3253 171 5.26% 132 4.06%
DNA 3253 152 4.83% 105 3.23%

Table 1: Comparison of positive detection rates between the three methods.

Using all three methods on the 3,300 cases, 88 cases (2.67%) of CIN I+ were detected. The details are summarized in Table 2. Of these, 47 cases (1.42%) were CIN I and 41 cases (1.24%) were CIN II+. There was only 1 case (0.03%) of cervical carcinoma.

Screening method Number of cases CIN I+ Positive detection rate (/100 000)
DNA 3253 54 166.0/10,000
LBC 3253 33 101.4/10,000
HPV 3300 66 200.0/10,000
All methods 3300 88 266.7/10,000

Table 2: Comparison of positive detection rates and CIN I+ data.

484 colposcopies were performed for rural women who were found to be positive by either test during the screening, and 251 biopsies were performed. Using the pathological diagnosis results as the gold standard, we calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for diagnoses of CIN II and above for each of the three tests. LBC: sensitivity was 18.75%, specificity was 89.16%, PPV was 29.03%, NPV was 82.27%; HPV-care: sensitivity was 85.42%, specificity was 28%, PPV was 22.16%, NPV was 80.65%; DNA ploidy (cell with nuclei of 5C or above abnormal ploidy): sensitivity was 72.92%, specificity was 70.44%, PPV was 36.84%, NPV was 91.67%. The data are summarized in Table 3.

Screening method Screening result Sensitivity Specificity PPV NPV
LBC ASCUS 18.75% 89.16% 29.03% 82.27%
  LSIL 4.17% 98.03% 33.33% 81.22%
  HSIL 0 99.01% 0 80.72
DNA <3 72.92% 70.44% 36.84% 91.67%
  3to9 52.08% 88.18% 51.02% 88.61%
  ≥10 25.00% 98.03% 75.00% 84.68%
HPV Positive 85.42% 28% 22.16% 80.65%

Table 3: Comparison of the three methods in detection of CIN II+ cases (%).

If we observe results from the 251 cervical biopsies, in the light of only one test applied, with LBC only, the number of missed diagnoses would be 31 cases of CIN I, 21 cases of CIN II, 17 cases of CIN III, and 1 case of cervical carcinoma; with only HPV-care, the would be missed diagnoses were 9 cases of CIN I, 3 cases of CIN II, and 4 cases of CIN III; with DNA ploidy, the number of would be missed diagnoses was 17 cases of CIN I, 11 cases of CIN II, and 2 cases of CIN III. 3. Tables 4-6 list the detailed results of the comparisons.

Pathology diagnosis Cases LBC Positive rate (%)
Inflammation ASCUS LSIL HSIL
Inflammation 162 150 8 2 2 12 (7.41)
CIN I 41 31 10 0 0 10 (24.39)
CIN II 26 21 4 1 0 5 (19.23)
CIN III 21 17 3 1 0 4 (19.05)
Carcinoma 1 1 0 0 0 0 (0)
Total 251 220 25 4 2 31 (12.35)

Table 4: Comparison of conventional cytology with pathology diagnoses.

Pathology diagnosis Cases Number of cells with DNA ploidy of >5C Positive rate (%)
None  <3 09-Mar  ≥10
Inflammation 162 126 23 10 3 36 (22.22)
CINI 41 17 13 10 1 24 (58.54)
CINII 26 11 5 7 3 15 (57.69)
CINIII 21 2 4 6 9 19 (90.48)
Carcinoma 1 0 1 0 0 1 (100)
Total 251 156 46 33 16 95 (37.85)

Table 5: Comparison of DNA ploidy with pathology diagnoses.

Pathology diagnosis Cases  HPV testing Positive rate (%)
Negative Positive
Inflammation 162 50 112 112 (69.14)
CINI 41 9 32 32 (78.05)
CINII 26 3 23 23 (88.46)
CINIII 21 4 17 17 (80.95)
Carcinoma 1 0 1 1 (100)
Total 251 66 185 185 (73.71)

Table 6: Comparison of HPV with pathology diagnoses.

In our study the HPV infection rate was 16.85%. Due to the high sensitivity of HPV detection tests, we found 556 HPV positive cases. Since every positive case would need to be followed by cytology testing, and subsequently colposcopy, and biopsy, this would result in an increased workload for ob/gyn specialist and most likely high economic burden with a low economic efficiency. Coupled with primary physicians’ limited knowledge in this area, the high number of false positives would also cause undue stress to the patients. We also looked how combined tests performed for pathology diagnosis CIN I and worse lesions. The data are summarized in Table 7.

Pathology diagnosis  LBC(-) DNA (-) HPV (-)
DNA (+) and HPV (+) TCT (+) and HPV (+) TCT (+) and DNA (+)
CINI 12 1 0
CINII 12 1 1
CINIII 12 0 1
Carcinoma 1 0 0

Note: TCT (-) indicates that the cervical liquid-based cytology is normal or inflammatory, LBC (+) indicates that the cervical liquid-based cytology is ASCUS or above; DNA (-) indicates no DNA aneuploidy cell found, and DNA (+) represents DNA aneuploidy found.

Table 7: LBC(-), DNA (-), and HPV (-) compared with pathology diagnoses.

In our study, 4.06% of LBC slides were inadequate (unsatisfactory), compared with only 3.23% DNA ploidy slides that were inadequate. In our opinion, during a large-scale screening project with huge numbers of participants, the number of inadequate samples can be a matter of concern. Please refer to Table 1.

Next, to identify the most economically efficient screening method, we looked at the operating cost of each test and calculated the costbenefit ratios of each different method. For this large-scale program, the fees were as follows: LBC was 30 RMB/person, DNA ploidy analysis using image cytometry was 30 RMB/person, and HPV-care was 70 RMB/person. We also calculated the cost of detecting each case of CIN. We found that the average cost was 3595.25 RMB for LBC, 4510.70 RMB for HPV-care, and 2156.02 RMB for DNA ploidy. The cost efficient evaluation of three methods is summarized in Table 8.

Project TCT HPV DNA
LBC cost 30 × 104 0 0
HPV cost 0 70 × 104 0
DNA cost 0 0 30 × 104
Number of positive cases 526 1685 483
Colposcopy cost 526 × 60 1685 × 60 483 × 60
Biopsy cost 263 × 20 842 × 20 241 × 20
Pathology cost 263 × 100 842 × 100 241 × 100
CIN cases detected 101 200 166
Total costs (RMB) 363120 902140 357900
Cost-effectiveness ratio (cost/case) 3595.25 4510.7 2156.02

Table 8: Comparison of operating costs between the three screening methods.

Over the last a few decades several methods have emerged for cervical cancer screening: Pap smear, Liquid based cytology (LBC), HPV testing and DNA ploidy by image or flow cytometry.

Pap smear, although still being used worldwide with various successes, traditionally has a high false negative rate (approximately15-40%) [2] due to various factors, such as from specimen collection, smear technique, proper fixation or lack of it, requirement for skilled staff, among others. Subsequently, with the introduction of liquid based cytology and thin preparation of slides as a monolayer, improvement of the quality of sample preparation has achieved. This methodology has allowed cytologist to observe fine cell deposition. This has led to overall improvement of slide examination and eventually the accuracy of diagnosis, compared with the traditional Pap smears. With accepted notion that HPV is the most important risk factor for cervical cancer pathogenesis, a new era of testing has emerged. However, HPV infection requires a long latent period before cervix shows any recognizable precancerous changes. Furthermore, following infection with HPV, most of the infections would resolve without leaving any notable consequences on cervical mucosa cells. These factors, some relevant to the cost efficiency, should be considered when HPV-based screen is to be implemented. Screening of precancerous lesions and cervical cancer with automated image cytometer (cell DNA ploidy) utilizing quantitative analysis system has been reported previously and perhaps it is currently most extensively used across China [8,9].

Since 2009, the State Health Commission (former Ministry of Health) began implementing major public health projects aimed to improve health for women and children in China. By the end of 2014 more than 40 million rural women participated in cervical cancer screening. Since most of the work was done in rural areas where hospitals lacked appropriate equipment, technology, and adequate professionals, it was challenging and very difficult to ensure the quality of such screening. In other words, most of the primary healthcare facilities lack cytopathologists and pathologists. In a few local hospitals, sometime only trained technicians perform the task. For some clinics and small rural hospitals, even if they have pathologists and cytopathologists, those medical professionals usually lack formal training for quality cytology evaluation. Such cervical cancer screening is prone to human error, poor repeatability, and other quality issues.

Due to lack of cytology trained staff, there are substantial limitations in implementing liquid based cytology (LBC) which relays on knowledge about cell morphological and structural features [10]. It was reported that the accuracy of detecting CIN varies from 67% to 92%, [11] with about 30% of CINs being missed if only a single cytology exam is performed [11].

In our study, biopsy results were used as a gold standard for the final diagnosis. Unfortunately in our study we did not have a luxury of taking random biopsies of completely negative cases as it was extremely difficult to get consent from all patients. Additionally, we have only found one case of true carcinoma, and we are well aware that this number is quite low. However, of 104 cases which showed inflammation in liquid based cytology, 29 cases turned out to be CIN II or worse lesions with a false negative rate of 27.88%. (Of those 29 cases 11 were CIN III. and 1 was cancer case). Conventional cytology results included 27 ASCUS cases, 4 LSIL and 0 HSIL cases, of which 10 cases were CIN II or worse lesions. Using ASCUS and worse lesions as the criteria for biopsy, the sensitivity of LBC was only 25.6% and negative predictive value was 72%. Due to poor sensitivity and possible high rate of missed diagnoses, many patients with precancerous lesions or cervical cancer could have been overlooked if this was not a study. Normally they would not be followed up with biopsy assessment.

We tried to understand the reasons for low sensitivity in our data and why pathologists had such a difficult time in recognizing abnormal changes in the liquid based cytology slides (LBC). We came to a conclusion that there could be several possible factors. Again, there is a lack of specific cervical cytology screening training, which leads to overall poor performance. Furthermore, pathologists in primary care hospitals are usually overworked due to a huge load of various different tasks, such as grossing, histology reading, and many other daily services, which can lead to reading fatigue. Whatever is the underlying reason for low sensitivity in our study, it is obvious that if a cervical cancer screening would rely only on primary care hospital’s pathologists and conventional cytology as the only test many pre cancer and cancers cases would be missed in much higher rate than suggested elsewhere [12]. Facing growing cervical cancer awareness and demand for testing, more standardized and preferably automated technology is surely one efficient option to address these burning issues, because it has been demonstrated that this technology should be used in order to improve quality in cervical cancer screening. Using automation would bring standardization across provinces’ laboratories and would most likely improve overall performance in cervical cytology, particularly in China, where cytology professionals are relatively short-handed.

In view of the above problems, we looked at combined DNA ploidy as a possible tool, because automation and standardization could be readily implemented.

DNA nuclear changes have been reported earlier as a suitable method that can be used in cervical cytology for detecting cervical intraepithelial changes [13] when human cells are affected by carcinogenic agents, the immediate event begins at the chromosomal level and a change in their structure begins, leading to DNA content change and resulting in so called aneuploidy nuclei (cells).

In essence, cancer is a rapid and unlimited proliferation which leads towards uncontrolled cell multiplication and eventually metastasis. During this process nuclear DNA content changes and measuring those changes can be used as a direct reflection of tumor proliferation. Thus DNA content is an important biological indicator of cell malignant transformation [14]. Other authors also concluded that DNA changes which they call “Genomic Instability” [15] can be used as an important biomarker of carcinogenesis and progress in cervical cancer. Detection and measurement of those changes by quantifying DNA in nuclei allow automation of the whole process. This is particularly true today when computers are faster and can handle huge amount of data in no time. Those nuclear morphometric changes are used for classifying various objects captured on the slide. The entire process is automated, enhancing implementation of quality control procedure on every slide.

The present study showed that: of 31ASCUS and worse cases detected by conventional cytology, 10 were CIN II+. If LSIL was used for cut-off criteria for biopsy, conventional cytology (LBC) has a sensitivity of only 5% for CIN II+ cervical lesions. DNA ploidy assessment detects 85 cases with aneuploidy, of which 31 were CIN II+. DNA ploidy sensitivity and NPV of CIN II+ were 80% and 84%, respectively, significantly better for DNA ploidy analysis than for conventional cytology.

A large number of studies have confirmed that over 99.7% of cervical cancer cases are caused by HPV infection [16]. Finding HPV in cervical sample indicates presence of HPV virus and identifies a highrisk group; however they do not immediately identify those women where cervical lesions already occur. The specificity of DNA ploidy analysis in our study was 44%, higher than that of HPV testing which was only 25%. We could not find a particular reason for such a low specificity. Other authors described too that care HPV has relatively good sensitivity with much lower specificity [17].

Our conclusion was that using combined DNA ploidy analysis to screen populations can reduce the number of women in high-risk groups by further narrowing down who would require immediate follow up. This method displays its value in cost-effective screening of cervical neoplasm, and avoids unnecessary waste of human and material resources (Table 8).

In our study, the specificity of DNA aneuploidy testing was lower than that of TBS but 44% higher than that of HPV. This is important to keep in mind especially if we are planning to implement screening for the large population. Implementing a test with higher specificity as well as good sensitivity can substantially reduce the number of women who need to see gynecologist for follow up testing and save the cost of the medical care. We also found that the cost of DNA testing although the same as conventional cytology (30RMB) has the best acceptable advantage over other testing costs when it comes to detecting one case of CIN (Table 8).

Our current focus was to screen as many women as possible, to find cervical lesions, treat them as early as possible with the goal to reduce the incidence of advanced cervical cancer, rather than screening a large number of women to find HPV infection and risk group only. It is most likely that combining two or even three tests could give better results than any one test alone; however we have not looked at the detailed possibility of such combinations, which would certainly elevate the overall cost.

Several published articles have suggested that DNA ploidy measurement equals liquid based cytology (LBC) and HPV testing combined in one test [18], thus we are confident that implementing automated quantitative DNA ploidy platform, which has both data DNA ploidy and morphology in one in healthcare facilities can greatly improve laboratory performance particularly in rural areas.

Conclusion

The present study of 3,300 cases using a standardized and automated cytopathology workflow platform potentially contributes to a new and detailed data of this technology. It is fairly to state that automated DNA ploidy image cytometry system which also contains morphology data is suitable for a large-scale screening program. Automated platform is objective in nature, fast and relatively accurate, immune to human error. This platform can improve the detection rate of precancerous lesions and cervical cancer; it does not require extensive training; it is easy to implement and allows clinicians’ timely interventions when an early cervical lesion is detected. In a long term, this technology can reduce the incidence of cervical cancer in our population and reduce the healthcare expenses. Moreover, digitalization of the image can facilitate remote monitoring and cloud computing, which in turn can contribute to high quality control, and overcome the bottlenecks created by lack of trained pathologists.

References

Citation: Yan D, Jigeng B, Yuping Z, Jie SG, Yan Z, et al. (2017) Comparison of Three Screening Methods for Cervical Cancer in China - A Systematic Study of 3,300 Cases in Rural Areas of Shanxi Province. J Cytol Histol 8: 492. DOI: 10.4172/2157-7099.1000492

Copyright: © 2017 Yan D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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