- Received November 30, -0001
- Accepted November 30, -0001
- Publication September 20, 2019
- Visibility 5 Views
- Downloads 1 Downloads
- DOI 10.18231/j.jdpo.2019.043
-
CrossMark
- Citation
Analysis of cytological false negatives of carcinoma of cervix
- Author Details:
-
Riti T.K Sinha *
-
Nitin M GanGane
Introduction
After breast cancer, cancer of the cervix, is the second most common cancer in females and one of the major cause of cancer amongst women in developing countries. It accounts for 17% of all cancer deaths amongst women aged 30-69 years. It may occur in approximately 1 in 53 indian women during their lifetime as compared to one in 100 women in developed regions.[1]
World wide 266000 women die of cervical carcinoma each year. It is the leading cause of cancer deaths in easter n and Central Africa. 528000 new cases of cervical cancer were diagnosed world wide in the year 2012; about 85% of these occurred in the developed regions.[2] The majority of the deaths due to these cancers can be prevented through universal access to comprehensive cervical cancer prevention and control programmes. Cervical cancer still remains the only human malignancy that has been successfully reduced by routine screening and medical intervention. Cervical cancer screening programmes play an important role in the reduction of cervical cancer in developed countries [2]
122,844 women are diagnosed with cervical cancer in India per year and 67,477 die from the disease.[3] I t is the second most common cancer in the age group of 15- 44 years. In South Asia, India has the highest age standardized incidence at 22.[3] Though the main cause of increasing cervical cancer is not known presumably exposure to human papilloma virus (HPV), active sexual life, multiparity, hormonal contraception, genetic factors and smoking are factors that may initiate the process of cervical cancer.[4] The 10 -20 year lag between pre cancer and cancer offers ample opportunity to screen, detect and treat the pre cancerous lesions and contain its progression to frank cancer.[2]
Since the test can effectively detect the prolonged phase of carcinoma in situ, current policy suggests that all women should have this test done at the beginning of their sexual activity and thereafter every six months.[3] Hence, the ideal screening strategy ought to identify those cervical cancer that are likely to progress to invasive cancers, thus maximizing the benefits obtained from cervical screening.[4]
Cytological screening leads to the determination of precursors and their mimics. The practical value of these precursor lesions is their presence in cervicovaginal smears and their early detection by cytological screening. On the assumption that the treatment of these pre-cancerous lesions would prevent invasive cancer of the cervix, the test has been hailed as the ultimate tool in cancer detection and prevention. Cancer of the cervix grows slowly over a period of time from precancerous dysplasia/Cervical Intraepithelial Neoplasia (CIN) to preinvasive to invasive cancer. However it is important to know that most CIN do not develop into cancer.[5] High grade squamous intraepithelial lesion (H GSIL) Pap smear carries a high risk for significant cervical pathology. Around 1-4% of women with HGSIL Pap smear had invasive cervical cancer.[6] On the assumption that the treatment of these precancerous lesions would prevent invasive cancer of the cervix, the test hailed as the ultimate tool in cancer detection and prevention. Since the name, Papanicolau, was too long, the term Pap test was coined for this procedure which now has come into colloquial use and this test has now entered the mainstream of laboratory testing.
The efforts of the physicians and national health system has been aimed at the early recognition of these precancerous cells in cervical smears and hence allow treatment at an earlier stage. Accordingly a few women will develop cervical cancer despite adherence to accepted screening protocols. In addition, problems inherent with sampling, interpretation, and effective clinical follow up preclude total prevention of cervical cancer.[7]
Monitoring cytohistologic discrepancies is a useful quality assurance tool in cytology laboratory. As a part of continuous quality improvement program, cytohistologic correlation may help laboratories to refine diagnostic criteria and improve diagnostic accuracy and reproducibility.[8]
Cytohistologic correlation entails the concomitant review of cytological and histological specimen that were obtained in a narrow time frame from the same site in a given patient. The level of agreement between cytologic and the histologc diagnosis may be used as a measure of laboratory quality. Few objective studies of errors in pathology have been performed apart from interobserver variability studies and studies concerning false positive and false negative diagnosis. Using the metric of cytohistologic discrepancy, several avenues of investigations were carried out to better elucidate the nature of errors in cytology and histology, as well as to examine the effects on patient outcome.[9] Necrosis, inflammation and bleeding can obscure, dilute or alter the diagnostic cells. This explains another Pap smear paradox, namely, invasive cancer have a higher false negative rate than pre-cancerous lesions.[7] Using the metric of cytohistologic discrepancy, the following study was carried out to better elucidate the nature of errors in cytology and histology, as well as to examine the effects on patient outcome.
Aims and Objectives
To study the prevalence of cytohistological discrepancy in histologically proven cases of carcinoma cervix.
To identify the causes for false negativity on cytological examination in histologically proven cases of carcinoma cervix and to evaluate the causes and suggest means of decreasing the false negativity rates in cervical cytology.
Material and Methods
The present study was entitled “ Analysis of cytological false negatives of carcinoma of cervix’’ was conducted in the Department of Pathology in Mahatma Gandhi Institute Of Medical Sciences, Sewagram, Wardha, Maharashtra. A total of 209 biopsy proven cases of carcinoma cervix over a study period of two years were included in the present study. The original cytological diagnosis of the smears available in these cases was correlated with the biopsy. All the cases in the present study were histologically proven to be squamous cell carcinoma (SCC). The exclusion criteria in the study were women who had prior hysterectomy, no available histological data, patients on radiotherapy for carcinoma cervix, and known cases of carcinoma cervix on cytological examination. The available cytologic and the histologic slides were reviewed.
The cervical cytology specimen was obtained by cervical scrape with disposable Ayre’s spatula. The smears were made by scraping the cervix from the squamocolumnar junction in a clockwise direction (360 degrees rotation) and fixed immediately in 95% alcohol. After the receipt of the specimen in the cytology section in the Department of Pathology; labeling and Pap staining was performed on the smears according to the method proposed by Milner et al.[10] Cervical cytology reporting were done according to the Bethesda system 2001 for cervical cytology reporting.[11]
In the histopathological division of the Department of Pathology, the biopsy specimens were received in formalin as a fixative. The specimens were then further processed in automatic tissue processor and paraffin sections were cut into 3μm thickness diameter and stained by routine haematoxylin and eosin method. Correlation between the original cytological diagnosis and the biopsy was done in all biopsy proven cases of carcinoma cervix.
The following statistical evaluation were done
The false negative rate: the percentage of cases in which cytolological diagnosis missed the diagnosis of malignancy
The false negative fraction: false negative/true positive+false negative. As a total of true positives and false negatives were the total cases in the present study and all were biopsy proven malignancies, hence false negative rates and false negative fraction was the same.
The false negative cytological smears were reviewed again to differentiate between screening errors, diagnostic errors and sampling errors.
Screening errors were defined as those in which the abnormal cells were present in the cytology smear but the screener failed to detect them.
Diagnostic errors or interpretation errors were defined as the failure to properly categorize the cells once they have been found.
Sampling errors were defined as those in which the smears failed to show abnormal cells on re examination.
Results
Maximum number of cases of carcinoma cervix were in the age group 41-50 years (30.14%) followed by 31-40 years (27.2%). ([Table 1])
Out of the total 209 biopsy proven cases of carcinoma cervix with co relating conventional Pap smears; pre review; 168 cases showed the presence of malignancy, i.e cytohistological correlation was 80.38 %. ([Table 2])
Prereview, 41 cases did not show features of malignancy on cytology accounting for a false negative rate of 19.6%.
False negative rate was higher in the pre menopausal category [28/41 (68.29 %)] followed by post menopausal category [13 /41 (31. 70%)]. ([Table 3])
The commonest discrepant cytological diagnosis, pre review, in the pre menopausal category was Atypical squamous cell of undetermined significance [ASCUS] (42.85%), followed by low grade squamous intraepithelial lesions [LGSIL] (32.14 %). ([Table 3])
The commonest discrepant cytological diagnosis, pre review, in the post menopausal category was High grade squamous intraepithelial lesion [HGSIL] (30.76%) , followed by LGSIL and ASCUS (23.07 %). ([Table 3])
On rescreening of the cervical smears by applying the criteria of The Bethesda System 2001 , eleven cases were unsatisfactory for evaluation where as seven additional cases of invasive cell carcinoma were detected. ([Table 4])
Hence, the cytohistological correlation seen increased to 88.38% and the false negative rate reduced to 11.62% after rescreening. ([Table 4])
Post review of the cervical smears, false negative rate was higher in the pre menopausal category [17/23 ( 73.91%)] followed by post menopausal category [06 /23 ( 26.08 %)]. ([Table 5])
Post review, commonest discrepant cytological diagnosis in the pre menopausal category was LGSIL (52.94%) followed by ASCUS and HGSIL (17.64 %). ([Table 5])
Post review, commonest discrepant cytological diagnosis in the post menopausal category was HGSIL (50%) followed by LGSIL (33.33%). ([Table 5])
The comparison of the false negative rate and the false negative fraction was done pre and post review. ([Table 6])
Comparison of distribution of the discrepant cases in the pre and post menopausal women (pre and post review) was done. ([Table 7])
In the pre menopausal group, the most common cytological error was sampling error seen in 14 cases and three cases also showed screening error. ([Table 8])
In the post menopausal group, the most common cytological error was sampling error seen in four of the cases and two cases showed screening error. ([Table 8])
In the pre menopausal group, of the three cases that showed screening error, the mo st common diagnosis was LGSIL (two cases) followed by HGSIL ( one case). All these five cases were found to be cases of carcinoma cervix after re screening. ([Table 9])
In the post menopausal group, of the two cases that showed screening error, the most common diagnosis was HGSIL (two cases). ([Table 10])
Out of the 11 unsatisfactory cases, pre menopausal women had more number of unsatisfactory smears were than post menopausal women. Obscuring inflammation was the most common cause in the pre menopausal women, where as obscuring inflammation and haemorrhage both were present in the post menopausal age group. ([Table 11])
Comparison of concordance rates for squamous cell carcinoma on cytopathology and biopsy in various studies. ([Table 12])
Age group (years ) | Number of cases | % |
31-40 | 57 | 27.2 |
41-50 | 63 | 30.14 |
51-60 | 54 | 25.83 |
61-70 | 27 | 12.91 |
>70 | 8 | 3.82 |
Total | 209 | 100 |
Cytology diagnosis | Number of cases | % | |
1. | NILM | 02 | 0.95 |
2. | ASCUS | 15 | 7.17 |
3. | LGSIL | 12 | 5.74 |
4. | HGSIL | 09 | 4.30 |
5. | Malignancies | 168 | 80.38 |
6. | AGUS | 3 | 1.43 |
7. | Unsatisfactory | - | |
Total | 209 | 100 |
Pap smear Diagnosis | Pre Menopausal | % | Post Menopausal | % |
ASCUS | 12 | 42.85% | 3 | 23.07 |
LGSIL | 9 | 32.4 | 3 | 23.07 |
HGSIL | 5 | 17.85 | 4 | 30.76 |
AGUS | 1 | 3.57 | 2 | 15.38 |
NILM | 1 | 3.57 | 1 | 7.69 |
Total | 28(68.29 %) | 13(31.70 %) | 41 |
Cytology diagnosis | Number of cases | % | |
1. | NILM | 02 | 1.01 |
2. | ASCUS | 03 | 1.51 |
3. | LGSIL | 11 | 5.55 |
4. | HGSIL | 6 | 3.03 |
5. | Squamous cell carcinoma | 175 | 88.38 |
6. | AGUS | 1 | 0.5 |
Total | 198 | 100 |
Pap smear Diagnosis | Pre Menopausal | % | Post Menopausal | % |
ASCUS | 3 | 17.64 | ||
LGSIL | 9 | 52.94 | 2 | 33.33 |
HGSIL | 3 | 17.64 | 3 | 50 |
AGUS | 1 | 5.88 | ||
NILM | 1 | 5.88 | 1 | 16.66 |
Total | 17(73.91%) | 6(26.08%) | 23 |
Pre review | Post review | |
Cytohistological Correlation | 80.38% | 88.38% |
False negative rates | 19.61% | 11.61% |
False negative fraction | 0.196 | 0.116 |
Pap smear Diagnosis | Pre review | Post review | ||
Pre Menopausal | Post Menopausal | Pre Menopausal | Post Menopausal | |
ASCUS | 42 % | 23.07% | 17.64 % | |
LGSIL | 32.4% | 23.07% | 52.94 % | 33.33 % |
HGSIL | 17.85 % | 30.76% | 17.64 % | 50% |
Category | Sampling Error | % | Screening Error | % | Total |
Pre Menopausal | 14 | 82.35 | 3 | 17.65 | 17 |
Post Menopausal | 4 | 66.66 | 2 | 33.33 | 6 |
Initial diagnosis | Review diagnosis Squamous cell carcinoma |
ASCUS | |
LGSIL | 2 |
HGSIL | 1 |
AGUS | - |
NILM | - |
Total | 3 |
Initial diagnosis | Review diagnosis Squamous cell carcinoma |
ASCUS | - |
LGSIL | - |
HGSIL | 2 |
AGUS | - |
NILM | - |
Total | 2 |
S.No | Causes | Pre menopausal | Post menopausal |
1. | Obscuring Inflammation | 4 | 2 |
2. | Obscuring Haemorrhage | 2 | 2 |
3. | Low celularity | 1 | - |
Total | 7 | 4 |
Study | Rate in percentage | |
1. | Present study | 88.38 |
2. | Wei et al | 88 |
3. | Yoshida et al | 73.3 |
4. | Chaithanya et al | 86.65 |
5. | Jain et al | 83.6 |
6. | Yeoh et al | 54.5 |
7. | Nawaz et al | 97.3 |
Study | Rate in percentage | |
1. | Present study | 11.6 |
2. | Poomtavorn et al | 24.2 |
3. | Alwahaibi et al | 36.8 |
4. | Li et al | 7.8 |
5. | Numnum et al | 16 |
Study | Rate in percentage | |
1 | Present study | 88.38 |
2 | Pinho et al | 96%. |
3 | Alwahaibi et al | 63.2% |
4 | Jain et al | 84% |







Discussion
The aim of using the cervical smear test (Papanicolaou test) is to enable the early detection and treatment of pre cancerous lesions and reduce the mortality rate in females due to carcinoma cervix. Cytological screening leads to the detection of precursor lesions of carcinoma cervix and their mimics. Both squamous cell carcinoma and adenocarcinoma develop through distinctive precursor lesions that are liable to detection by the Pap smear test. The practical importance of the precursor lesions is that they are present in the cervicovaginal smears, and hence are liable for early detection by cytological screening.[12]
It is well accepted now that the Pap smear test has been the most effective cancer screening test ever introduced. There has been a reduction in the death rate of more than 70 % for this prevalent cancer in recent times.[13]
Although research suggests Pap smear screening is relatively common, there are subgroups which remain resistant to screening efforts. Cervical cancer screening guidelines were developed to screen the general population. Special high risk populations are not adhered to in these guidelines. These include (1) women with history of carcinoma cervix (2) women who were exposed in utero to di-ethyl stilbesterol and (3) women who are immune compromised.[14]
Both liquid based cytology (LBC) and conventional method, as a part of cervical cytology screening are accepted. Conventional papanicolaou smears, though most commonly used, are accompanied by some drawbacks . Smearing problems, drying arte facts, inadequate fixation , presence of background obscuring material and thick smears are problems at times encountered with conventional smears .
Liquid based cytology smears (LBC) like Thin Prep processor, Auto cyte and Sure Path or such other systems have minimal drying artefacts and minimum background material leading to optimal cellularity of smears and reduction of background obscuring material.[15]
Though human papilloma virus (HPV), is an important factor for the development of squamous cervical neoplasia, still most HPV infected women do not develop significant cervical abnormalities. Factors that determine which HPV infection will develop into squamous intraepithelial lesions (SIL) have been poorly determined. Young females with an effective immune response clear the infection or reduce the viral load to undetectable levels in an average of 8.24 months. The HPV infection found in older females reflects the persistent past infection and correlates with increased rates of high grade squamous intraepithelial lesions (HGSIL) with increasing age.[16]
Low or intermediate type HPV (6,11) are mostly associated with LGSIL and are usually polyclonal; whereas HSIL harbors clearly oncogenic high risk HPV DNA such as 16,18,31,33 and 35 that are usually monoclonal with a tendency to progression . In LGSIL, there is typically no accumulation of abnormal DNA. Koilocytic atypia is related to the expression of viral E4 protein an d is classified as LGSIL in TBS [Figure 1]. Contrary to this in HGSIL, the disrupted cell cycle due to the high risk HPV DNA leads to the accumulation of aneuploid cells that are able to replicate and survive. This phenomenon is mainly induced by the viral proteins E6 and E7 of the high risk oncogenic HPV types. From a bilological point of view, the Bethesda approach is very realistic because LGSIL and HGSIL reveal different pathogenesis.[12] In the WHO classification cervical intraepithelial neoplasia CIN 1 relates to LGSIL; whereas CIN 2 and CIN 3 relates to HGSIL.[12]
This terminology and the process that created The Bethesda System (TBS) have had a profound impact on the practice of cervical cytology for laboratorians and clinicians equally. The Bethesda conferences and their ensuing output have also set the stage for standardization of terminology across multiple organ systems, including both cytology and histology[12]
Quality control in cervical cytology is carried ou t with the objective to improve the performance of the test to eliminate the false negative results. Cytohistological correlation (CHC ) is used most frequently by cytopathology personnels for evaluation of failures in cytological screening. This is a process by which cytologic and histologic interpretations are compared, generally from the same anatomic site, to determine whether they are concordant or discordant.[17]
Monitoring cytohistological discrepancies is an effective tool in this direction. This involves processing of the samples for cytological screening and comparing it with the gold standard of histopathology.[8]
In the present study, the biopsy proven cases of carcinoma cervix were reviewed and compared with their cytology counterpart. The cytohistlogical correlation in the present study was 80.4% that increased to 88.38% post review of the cytological smears that were negative for malignancy in the initial reporting. This was similar to the rate of 88% of cytohistlogical correlation found in the study by Wei et al.[18] Similarly studies by many authors like Yoshida et al[19] , Jain et al[20], Chaithanya et al[13] and Yeoh et al[21] found rate of correlation of 73.3%, 83.6% , 83.6% and 54.5% in their study that was lesser than the concordance rate of our study. However, Nawaz et al[22] had a rate of 97.3% that was much higher than ours ([Table 12]).
When the highest grade diagnosis of the biopsy specimens is the same as that of the Pap smear result (ie, no evidence of squamous intraepithelial lesion or malignancy [NILM] versus negative for dysplasia, LGSIL versus CIN1, HGSIL versus CIN2; it is considered that biopsy correlates with the Pap smear results. Further discrepancies can be considered as minor (one step discrepancy) or major (two and three step discrepancy). One step discrepancy is between Pap smear and biopsy results are (NILM versus CIN 1 or LGSIL versus CIN 2). Two step discrepant diagnosis is (NILM versus CIN 2) and three step discrepant diagnosis is (LGSIL verses carcinoma cervix). Many institutions elect to evaluate only a two or three step discrepant diagnosis as one step discordant diagnoses often resulted in greater number of discordant pairs.[23]
To determine whether a diagnosis is discrepant or not, the cytological and the histological diagnoses must be carried out within a short time frame, and should be compared using different scales of measurement. Many cytology laboratories use semiquantitative scales in which the standard diagnosis are associated with a graded probability of the disease, whereas some cytology laboratories prefer using more descriptive interpretation. [24]
The 2001 Bethesda system classification of Pap smear diagnoses is a typical example of a semiquantitative scale. This is so because interpretations in the 2001 TBS do not have exact co relates in the CIN system. [24] The Bethesda system classification along with being a uniform system of reporting, also provides effective communication portals amongst cytopathologists and the referring clinician. It also is a very important means of cytohistopathological correlation.[20]
In our study, both one and two step discordant diagnoses were evaluated. In the pre menopausal age group two step discrepant diagnoses was 52.94 % [LGSIL vs SCC], and one step discordant diagnoses was 17.64 % [H GSIL vs SCC] ([Table 5] ). Similarly, in the post menopausal category, two step discrepant diagnoses was 33.33 % [ LGSIL vs SCC], and one step discordant diagnoses was 50 % [HGSIL vs SCC] ([Table 5]). It was seen that in both the age groups, HGSIL was the most common cause of one step discordant diagnosis, henceforth the need for proper identification of H G SIL on Pap smears [[Figure 2]]. Hence many studies have been done to better elucidate the causes of cytohistologic discrepancies of HGSIL on cervical smears.[23],[24]
Atypical squamous cell of undetermined significance (ASCUS) interpretation entertains a lot of inter observer variability and does not have a clear representation in i ts biopsy counterpart. Hence its recommend that when reporting ASCUS, to connote it as favoring reacti ve or favoring neoplasia[11] [[Figure 3].
LSIL is rare in post menopausal women as was seen in our study and also by other researchers.[23],[25] Lesions with high mitotic index must be upgraded to HGSIL.HGSIL remained the most common discrepant diagnosis in post menopausal women, both pre and post review [[Figure 4],[Figure 5]] ([Table 3],[Table 5]). This finding was similar to many other studies where HGSIL the most common discrepant diagnosis on cytology and that was later on proved to be carcinoma cervix on histopathology examination.[23],[25] Around 1-4% of women with HGSIL on Pap smear had invasive cervical cancer and 55-66% women have high grade CIN fro m colposcopic directed biopsies.[6]
In our study the pre review false negative rate was 19.6% that reduced to 11.6% post review ([Table 6]). Poomtavorn et al[23] and Alwahaibi et al[25] found 24.2 % and 36.8% of false negative rate, that was slightly higher than our study. Li et al[26] and Numnum et al[27] reported the prevalence of false negative rates of 7.8% and 16%, respectively, that was lower than our study.
The cytohistological discrepancy, pre and post review was more prevalent in premenopausal females (73.9%) as compared to post menopausal females (26.08%) ([Table 5]); where as Poomtavorn et al[23] found higher rates in post menopausal women (40 %).
Further, to reduce the discordance rate between cytological diagnosis and follow up histology, a variety of reliable diagnostic tools like cytochemistry have been evaluated.[18] p16INK4a, a tumor suppressor protein, is strongly over expressed in almost all HGSIL and invasive cancers of the cervix uteri. It is used as a surrogate marker for the presence of HGSIL or more advanced lesions.[19],[28]
IMP3, is an mRNA binding protein, and IMP3 antibody is highly specific marker for malignant lesions on biopsy. P 16 +/ IMP3+, has a higher se nsitivity but lower specificity, and is usually positive in cases of SCC and is useful in improvement of cytohistological discrepancies.[18]
The institute of medicine (IOM) defined a medical error as the failure of a planned action to be completed as intended or the use of a wrong plan to achieve an aim.[29]
All types of error, including those occurring in screening and diagnostic testing, are encompassed in this definition, and it does not link patient outcome to error. Traditionally, two types of errors have been considered by pathology laboratories viz. errors of accuracy and errors of precision. An error detected by cytohistologic correlation is usually an error of accuracy. Disagreement about the cause of correlation error is an example of diagnostic reproducibility, i.e an error of precision.[30]
As cytohistologic correlation generally evaluates cytologic specimens that are generally antecedent or concurrent to the surgical pathology specimens, this process actually focuses more on detecting cytologic, rather than surgical pathology errors.[30]
In some cases, carcinoma cervix goes undetected even after a recent cytology screening test due to errors in either sampling, screening or interpretation. Also necrosis, inflammation and bleeding can obscure, dilute or alter the diagn ostic cells in carcinoma cervix explaining another Pap smear paradox that invasive cancers have higher false negative rates pre cancerous lesions.[7] Moss et all reported cytologic errors as a major cause of cytohistologic discrepancy.[27] Another study[31] found that other than just sampling, screening or interpretation errors; poor specimen preservation and sub optimal staining are also other causes (preparatory error).
The whole chain of events starting from patient identification till cytology reporting can be divided into pre and post analytic phase. The pre analytic phase deals with patient identification , specimen procurement and transport; where as the analytic phase deals with specimen processing and interpretation. Errors that occur in any of these two phases can lead to leading to cytohistological discrepancies and hence to false negative results.[24]
False negat ive findings in cervical smears when are proven on confirmatory histopathology, are a major source of concern for the clinician, cytopathologist and most importantly for the patients.
When the uterine cervix is not adequately represented in case of sampling errors, little can be done then in terms of reducing the false negative rates. Sampling errors occur when the dysplastic cells on the uterine cervix are not adequately transferred on to the slide where they could be seen; though present in the cervix, emphasizing the importance of experienced personnels’ participation and the right technique in the sample collection procedure.
In the present study, pre analytic phase error i.e sampling errors was the most common error in both pre and post menopausal women (82.35 % and 66.6% respectively). It is the most cause of false negative result in the present study ([Table 8]).
Similar to our study many authors have also found sampling errors as the most common cause of false negative rate.[21],[22],[23] Pinho et al[32] observed in their study sampling limitations as an important major cause of cytohistologic discrepancy. There is also considerable data that suggests that the sampling error rates in cytology range between 6 -18 %.[33],[34],[35]
The cause of higher rates of sampling errors in the post menopausal women is because the squamocolumnnar junction or the transformation zone retreats up the cervical canal and hence at times misses the reach of the spatula or the cytobrush.
Failure of exfoliation of malignant cells is a well documented phenomenon. It is present in some cases of overt carcinoma of the cervix when the necrotic tissue prevents exfoliation of malignant cells and a high proportion of smears are in fact then, sampling errors. Failure of exfoliation is a more common problem in post menopausal women.[36]
Screening errors were the second most common cause of false negative rates in our study, both in the pre menopausal age group 17.64 % and the post menopausal age group 33.33% [Figure 6] ([Table 8]). It was seen that LGSIL and HGSIL were its most common causes in the pre menopausal and post menopausal categories respectively (Table 9,10 ).
Husain et al[37] found screening error as the most common cause of false negative rate in their study. In screening errors large number of smears contain identifiable neoplastic cells that are missed by the screener. They attributed smears with heavy inflammation, where greater alertness is needed and very thin clean smears as an important causative factor leading to screening errors.
When the diagnostic or abnormal cells, though present in the smear are missed by the screener, it is termed as screening error. Another study reported screening errors as the most common cause of false negative rate in their study.[31] They also reported drying artefacts to be the main reason for 72.7% of discrepant cases they observed. These are more common in the conventional Pap smears as compared to the LBC smears.
Researchers agree that the most rigorous method to avoid screening errors and consequently to monitor the quality control of routine Pap smears in cytology laboratories is to re screen all negative smears , as was done in the present study. This is the most prudent and common approach to detect false negative results. Other methods include review of cases based on clinical risk criteria, 10% random review of all negative results and most recently rapid pre scre ening of all smears has been introduced.[38]
Many researchers also suggest that to reduce the screening errors, slides should be reviewed by a second observer from the same laboratory and the repetition of the test should be with knowledge of the clinical data.[39] Apart from avoiding sampling , screening and interpretation errors it is equally important to be aware of all the features that make the smear unsatisfactory or sub optimal.[39]
Interpretation errors were not present in our study. These most commonly occur due to misinterpretation of a reactive atypia , senescent atypia and atypia seen in association with endocervical polyps.[39]
Our study had 5.26% of unsatisfactory smears [Figure 7] ([Table 11]). In our study, obscuring inflammation was the most common cause of unsatisfactory smears similar to the study by Ransdell et al.[40] Jain et al[20] had obscuring haemorrhage and low cellularity as the cause of unsatisfactory smears.
False negative rates in our study reduced from 19.6 to 11.6% after rescreening , stressing the importance of rescreening of all Pap smears that are malignant on histopathological examination. Also as an attempt to reduce the false negative rates, Pap smears should be repeate d at regular intervals. Three normal consecutive annual smears make the error rate negligible.[20]
False negative fraction rates in our study was 0.116. Very few studies calculate the false negative fraction. As a total of true positives and false negatives were the total cases in the present study and all were biopsy proven malignancies, hence false negative rates and false negative fraction was the same. As the prevalence of the disease does not alter the false negative fraction, it is touted as the best current measurement of the accuracy of cervicovaginal smear interpretation.[41],[42] False negative rate in literature ranges from 2 – 72%, with a recently calculated rate of 16 %. [39],[42]
Sensitivity and diagnostic accuracy of any study depend upon the number of true positives and false negatives. A reduction in the false negatives increases the sensitivity of the study. Sensitivity and diagnostic accuracy of the present study was 88.38% that was similar to the study by Wei et al.[18] It was lesser that that of the study done by Pinho et al[32] which had a sensitivity of 96%. and higher than the study by N.Y. Alwahaibi et al [25] and Jain et al[20] who had a sensitivity of 63.2% and 84% respectively in their studies.
14.
Another fact that needs mention in this regard is that , tissue interpretations are always easier than cytology preparations . The absence of specialized cytopathologits for the diagnosis of cervical lesions can lead to discrepancies. [25]
However, there is no substitute to proper sampling and preparation of smears and need to avoid of screening and diagnostic errors. Further, as a measure of quality control rescreening of the cytology smears of biopsy proven cases of malignancy are a must to highlight the causes of false negative smears and reduce their occurrence.
Conclusion
The level of agreement between cytology and the histology diagnosis may be used as a measure of laboratory quality. To the best of our knowledge, data on factors associated with cytohistologic discrepancy in cases of carcinoma cervix in Pap smears are limited. Most of the studies have been done in relation to determine the cytohistologic discrepancy and sensitivity rates of HGSIL only. Therefore, we conducted this study to evaluate the factors associated with cytohistologic discrepancy in Pap smears of carcinoma cervix and to determine the false negative rat es and false negative fraction.
The present study is aims the identification and correction of the false negative rates as a measurement for quality control in cervical cytopathology laboratories.
It also stresses on the identi fication of the causes of these discrepancies and to asses the false negative rates and fractions so as not to miss any case of carcinoma cervix or its precursor lesions.
Source of Funding
None.
Conflict of Interest
None.
Abbreviations
NILM- negative for intraepithelial lesion or malignancy;
ASC-US- atypical squamous cells of undetermined significance;
HSIL-high-grade squamous intraepitheliallesion ;
LSIL- low-grade squamous intraepithelial lesions;
AGUS- atypical glandular cells of undetermined significance
References
- S Bobdey, J Sathwara, A Jain, G Balasubramaniam. Burden of cervical cancer and role of screening in India. Indian J. Med Paediatr Oncol 2016. [Google Scholar]
- . . Bengaluru: National Centre for Disease Informatics and Research National Cancer Registry Program (ICMR); 2016.Mar, An Assesment of Burden and Care of Cancer Patients 2012. [Google Scholar]
- A Sreedevi, R Javed, A Dinesh. Epidemiology of cervical cancer with special focus on India. Int J Womens Health 2015. [Google Scholar]
- S Joshi, R Sankaranarayanan. Oppurtunities for cervical cancer prevention in India. JKIMSU 2015. [Google Scholar]
- D N Rao, B Ganesh. Estimate of cancer incidence in India. Indian J Cancer 1998. [Google Scholar]
- L S Massad, Y C Collins, P M Meyer. Biopsy correlates of abnormal cervical cytology classified using the Bethesda system. Gynecol Oncol 2001. [Google Scholar]
- LG Koss. The Papanicolaou test for cervical cancer detection. A triumph and a tragedy. JAMA 1988. [Google Scholar]
- D R Mody, D D Davey, M Branca, S S Raab, U G Schenck. Quality assurance and risk reduction guidelines. Acta Cytol 2000. [Google Scholar]
- K M Clary, J F Silverman, Y Liu, C D Sturgis, D M Grzybicki, L K Mahood. Cytohistologic discrepancies: Means to improve pathology practice and patient outcomes. Am J Clin Pathol 2002. [Google Scholar]
- A Milner, A Rajvanshi, S Bhambhani, D K Das, U K Luthra. Cytology technical manual, Cytology Research centre (ICMR), Maulana Azad Medical college. . [Google Scholar]
- D Solomon, D Davey, R Kurman, A Moriarty, O Connor, D Prey, M .. Bethesda System: Terminology for reporting results of cervical cytology. JAMA 2001. [Google Scholar]
- S Lax. Histopathology of cervical precursor lesions and cancer. Acta Dermatoven 2011. [Google Scholar]
- K Chaitanya, D R Kanabur, H A Parshwanath. Cytohistopathological Study of Cervical leisons. Int J Sci Stud 2016. [Google Scholar]
- T C Wright, L S Massad, C J Dunton. consensus guidelines for the management of women with abnormal cervical cancer screening tests. Am J Obstet Gynecol 2006. [Google Scholar]
- K Kontzoglou, K G Moulakakis, P Konofaos, M Kyriazi, A Kyroudes, P Karakitsos. The role of liquid-based cytology in the investigation of breast lesions using fine needle aspiration: a cytohistopathological evaluation. J Surg Oncol 2005. [Google Scholar]
- N Muoz, F X Bosch, S De Sanjos. The causal link between human papilloma virus and invasive cervical cancer . A population based case - control study. Int J Cancer 2006. [Google Scholar]
- N E Joste, M Wolz, P K Pai, S L Lathrop. Noncorrelating Pap tests and cervical biopsies : histologic predictors of subsequent correlation. Diagn Cytopathol 2005. [Google Scholar]
- Q Wei, Bo Fu, J Liu, - Xu J, T Zhao. Combined detection of p16INK4a and IMP3 increase the concordance rate between cervical cytologic and histologic diagnosis. Int J Clin Exp Pathol 2013. [Google Scholar]
- T ., Fukuda T Sano, T Kanuma, T Owada, N Nakajima, T .. Usefulness of liquid-based cytology specimens for the immunocytochemical study of p16 expression and human papillomavirus testing: a comparative study using simultaneously sampled histology materials. Cancer 2004. [Google Scholar]
- V Jain, A S Vyas. Cervical neoplasia - cytohistological correlation (Bethesda system ) A study of 276 cases. J Cytol Histol 2010. [Google Scholar]
- Gps Yeoh, K W Chan. The accuracy of Papanicolaou smear predictions : Cytohistological correlation of 283 cases. Hong Kong Med J 1997. [Google Scholar]
- F H Nawaz, A B Aziz, S Perwez, J H Rizwi. Prevalence of abnormal Papanicolaou smears and cytohistological correlation. A study from Aga Khan University hospital. Asia - Pacific Journal of clinical oncology 2005. [Google Scholar]
- Wanwisa 23. Yenrudee Poomtavorn, Komsun Himakhun, Yuthadej Suwannarurk1, Karicha Thaweekul, - Maireang. Cytohistologic Discrepancy of High-Grade Squamous Intraepithelial Lesions in Papanicolaou Smears. Asian Pacific Journal of Cancer Prevention 2013. [Google Scholar]
- S S Raab, D M Grzybicki, J E Janosky. Clinical impact and frequency of anatomic pathology errors in cancer diagnosis. Cancer 2005. [Google Scholar]
- N Y Alwahaibi, S K Sulimi, U R Bai. Cytohistological correlation and discrepancy of conventional Papanicolaou smear test with corresponding histopathology: a retrospective study over a 5-year period. EMHJ 2015. [Google Scholar]
- Z G Li, Y Qian De, J M Cen, G D Chen, Y H Shu. Three-step versus see-and-treat approach in women with high-grade squamous intraepithelial lesions in a low-resource country. Int J Gynaecol Obstet 2009. [Google Scholar]
- T M Numnum, T O Kirby, C A Leath. A prospective evaluation of see and treat in women with HSIL Pap smear results: is this an appropriate strategy?. J Low Genit Tract Dis 2005. [Google Scholar]
- A P Pinto, M Degen, L L Villa, E S Cibas. Immunomarkers in gynecologic cytology: the search for the ideal biomolecular Papanicolaou test. Acta Cytol 2012. [Google Scholar]
- 29. Kohn LT ., Corrigan JM ., Donaldson MS eds .. . To Err Is Human : Building a Safer Health System 1999. [Google Scholar]
- S S Raab, D M Grzybicki. Quality in cancer diagnosis. Cancer J Clin 2010. [Google Scholar]
- P Sodhani, V Singh, D K Das, S Bhambhani. Cytohistological correlation as a measure of quality assurance of a cytology laboratory. Cytopathology 1997. [Google Scholar]
- A A Pinho, M C Mattos. Validity of cervicovaginal cytology for detection of cancerous and precancerous lesions of the cervix. J Bras Patol Med Lab 2002. [Google Scholar]
- J D Gay, L D Donalson, J R Goellner. False Negative Results in Cervical Cytologic Studies. Acta Cytol 1985. [Google Scholar]
- N E Jones, C P Crum, E S Cibas. Cytologic / histologic correlation for quality control in cervicalvaginal cytology. Am J Clin Pathol 1995. [Google Scholar]
- - Rubio. False Negative in Cervical Cytology: Can they be avoided?. Acta Cytol 1981. [Google Scholar]
- E R Novak, J D Woodruff, ; E R Neoplasia, - Novak. . Novaks Gynecologic and Obstetric Pathology with clinical and endocrine relations, 8 th ed. Philadelphia: WB Saunders 1979. [Google Scholar]
- Oan Husain, E B Butler, Dmd Evans, J E Macgregor, Yule R .. Quality control in cervical cytology. J Clin Pathol 1974. [Google Scholar]
- Rno Cobucci, Mjas Maisonnette, Ejs Macedo. Pap test acuracy and severity of squamous intraepithelial lesion. Indian J Cancer 2016. [Google Scholar]
- Caio Eduardo Gullo, Anna Luiza Tannús Dami, Amanda Pires Barbosa, Aline Maria de Vita Marques, Marianna Angelo Palmejani, Luiz Guilherme Cernaglia Aureliano de Lima. Results of a control quality strategy in cervical cytology. Health Econ Manag 2012. [Google Scholar]
- J S Ransdell, D D Davey, S Zaleski. Clinicopathologic correlation of the unsatisfactory Papanicolaou Smear. Cancer 1997. [Google Scholar]
- A Renshaw. Analysis of Error in Calculating the False-Negative Rate in the Interpretation of Cervicovaginal Smears The need to review abnormal cases. Cancer 1997. [Google Scholar]
- S E Wang, M J Ritchie, B F Atkinson. Cervical cytology smear false negative fraction reduction in a small community hospital. Acta Cytol 1997. [Google Scholar]