|
Introduction
Ovarian
tumors represent a diverse group of gynecological
neoplasms that can occur across all age groups.[1]
They arise from different cellular origins,
including epithelial cells, germ cells, and sex
cord‑stromal tissue.[1,2] Because ovarian cancer
carries high rates of morbidity and mortality,
early and accurate diagnosis is crucial.[1] Yet,
distinguishing whether an ovarian mass is benign,
borderline, or malignant before surgery remains a
major challenge. This challenge arises from the
ovary’s deep anatomical position, the lack of
effective screening methods, and the overlapping,
non‑specific features encountered in clinical
presentations, imaging findings, and serum
markers.[1-5]
These limitations
highlight the importance of intraoperative
diagnostic techniques, which have become
indispensable in surgical practice. By providing
real‑time assessment of ovarian lesions, they
allow surgeons to tailor the extent of surgery to
each patient’s needs.[1,5,6] Such guidance is
especially valuable when fertility preservation is
a priority or when unnecessary radical procedures
must be avoided. Among these techniques, frozen
section analysis is widely regarded as the gold
standard, with diagnostic accuracy rates ranging
from 86% to 97%. However, frozen section requires
costly equipment and specialized personnel,
limiting its use in resource‑constrained
settings.[1,3,7]
To overcome these
barriers, cytological methods such as imprint and
scrape cytology have emerged as practical
alternatives.[1,3] Scrape cytology, in particular,
involves collecting cells from the freshly cut
surface of the specimen. It is simple, rapid, and
cost‑effective, delivering results within minutes
while providing well‑preserved cellular morphology
and higher cell yield compared to imprint
smears.[1,6] While histopathology remains the gold
standard for diagnosing ovarian tumors,
fine‑needle aspiration cytology under imaging
guidance has been discouraged because puncturing a
cystic carcinoma may lead to intraperitoneal
seeding. In contrast, intraoperative cytology
provides a safe and dependable alternative,
offering rapid diagnosis without the risk of tumor
dissemination.
Against this
background, the present study was undertaken to
evaluate the diagnostic value and reliability of
scrape cytology in ovarian lesions, with the aim
of correlating intraoperative cytological
impressions with confirmed histopathological
diagnoses.
Materials and Methods
This cross-sectional
study was conducted over a period of three years,
from June 2022 to May 2025, in the Department of
Pathology at a rural tertiary care hospital.
Institutional Ethical Committee clearance (IEC)
was obtained from our institutional ethical
committee. The procedures followed in the present
study adhered to the ethical guidelines of the
Declaration of Helsinki. All patients of any age
who underwent surgical excision of ovarian masses
during the study period and were diagnosed with
neoplastic lesions were included in the study.
Cases with histopathological diagnosis of
non-neoplastic lesions were excluded. Immediately
after surgical excision, the ovarian specimens
were sent fresh, without any fixative in a tightly
closed container to the pathology department. For
each case, clinical, laboratory and radiological
data were collected. On gross examination, each
ovarian tumor was evaluated for capsular
integrity, noting whether the capsule was intact
or breached. The cut surface was further assessed
to determine the consistency of the lesion,
categorized as solid, solid‑cystic, or cystic.
Scrape cytology was performed by gently scraping
the freshly cut surface of the tumor using a clean
glass slide and spreading it on another clean
glass slide. Smears thus prepared were fixed in
95%ethanol and alcohol-fixed glass slides were
stained using hematoxylin and eosin (H&E)
stain.
All smears were
examined by two experienced cytopathologists.
Based on cellular morphology, background features,
and architectural patterns, the smears were
categorized as benign, borderline, or malignant.
Where feasible, a provisional subtype diagnosis
was also suggested. The tumor cytology report was
received within 15-20 minutes. After obtaining the
sample for scrape cytology, the remaining ovarian
specimen was fixed in 10% buffered formalin,
routinely processed, and embedded in paraffin.
Sections prepared were stained with rapid H&E
and examined under light microscope. Final
diagnoses were made according to the World Health
Organization (WHO) classification of ovarian
tumors and served as the reference standard for
comparison.
For statistical
purposes, all histopathologically proven malignant
tumors and borderline ovarian tumors were taken as
a positive control and all benign tumors were
taken as a negative control. The cases which were
positive on both cytology and histology were
labeled true positive. Histology-positive and
cytology-negative cases were labeled as false
negative. Histology and cytology-negative cases
were labeled as true negative. Histology-negative
and cytology-positive cases were labeled as false
positive. The diagnostic performance of scrape
cytology was evaluated by calculating sensitivity,
specificity, positive predictive value (PPV),
negative predictive value (NPV), and overall
diagnostic accuracy. Concordance between
cytological and histopathological diagnoses was
assessed, and discordant cases were reviewed in
detail to identify potential causes of
misinterpretation.
Results
A total of 166 cases
of ovarian tumors were studied in the present
study, the age ranged from 14years to 80years.
Most common age group involved in the present
study was 5th decade (25.3%) followed by 6th
decade (22.9%). Involvement of left side of ovary
(50%) was most common in the present study.
Bilateral ovarian involvement was seen in (6.6%)
(Table 1).
|
Table 1: Distribution of ovarian
neoplasm according to age and laterality
|
|
Age in years
|
Number of cases
|
|
Right Ovary
|
Left ovary
|
Bilateral
|
|
11-20
|
3
|
2
|
|
|
21-30
|
14
|
11
|
|
|
31-40
|
12
|
19
|
3
|
|
41-50
|
15
|
22
|
5
|
|
51-60
|
17
|
18
|
3
|
|
61-70
|
9
|
5
|
|
|
71-80
|
2
|
6
|
|
|
Total
|
72
|
83
|
11
|
In the present
study, most of the ovarian neoplasm on gross
examination showed intact capsule in 133 cases
(80.1%) and 33 cases (19.9%) showed breach in the
capsule. Predominantly ovarian tumors were cystic
in consistency in 104 cases (62.6%), solid and
cystic in 46 cases (27.7%) and solid in
consistency in 16 cases (9.6%).
All 166cases were
reported by two experienced pathologists. Based on
the cellularity, architecture, nuclear features,
cytoplasm and background, the ovarian tumors were
categorized as benign, borderline and malignant.
Cellularity was
further categorized into highly cellular,
moderately cellular and paucicellular. High
cellularity was seen in 32 cases (19.3%), all of
which were malignant ovarian tumors. Moderate
cellularity was seen in 129 cases (77.7%)
comprising 104 benign epithelial tumors, 2
borderline tumors, 5 granulosa cell tumors, 2
mucinous tumour, 1 undifferentiated tumor and 15
teratomas. Paucicellular smears were seen in
5cases (3%) including 2 fibromas, 2 fibrothecomas
and 1 case of teratoma. The background was
categorized as clear, inflammatory, mucoid, or
necrotic.
Of the 166 cases,
the most common tumors were of epithelial origin
(138 cases, 83.1%) followed by germ cell tumors
(17 cases, 10.2%), sex cord stromal tumors (9
cases, 5.4%), and others (2 cases, 1.2%). One case
(0.6%) was indeterminate on cytology, as no
definitive opinion could be rendered because of
scanty material.
On final
histopathological examinations, out of 166 cases,
126(75.9%) were benign, 2 (1.2%) were borderline
and 38(22.9%) were malignant. Among benign
neoplasm, serous cystadenoma (46.4%) was most
common followed by mucinous cystadenoma (16.9%)
mature teratoma (9.6%), and benign stromal tumours
(2.4%). Serous cystadenocarcinoma (10.8%) being
the most common malignant tumor followed by
mucinous tumor (5.4%), granulose cell tumor (3%)
and endometrioid carcinoma (1.8%) respectively
(Table 2).
|
Table 2: Cytohistopathological
correlation of ovarian tumors
|
|
Histopathological diagnosis
|
Cytological diagnosis
|
|
Negative
|
Positive
|
Indeterminate
|
|
Serous cystadenoma (77)
|
Benign serous tumour (77)
|
|
|
|
Serous cystadenofibroma (1)
|
|
Borderline serous tumour (1) (FP*)
|
|
|
Borderline serous tumor (2)
|
Benign serous tumour (1) (FN)
|
Borderline serous tumour (1)
|
|
|
Serous carcinoma (18)
|
|
Serous carcinoma (18)
|
|
|
Mucinous cystadenoma (28)
|
Mucinous cystadenoma (28)
|
|
|
|
Mucinous cystadenocarcinoma (9)
|
Benign mucinous cystadenoma (2) (FN*)
|
Mucinous cystadenocarcinoma (6)
Borderline mucinous tumour (Subtyping
error) (1)
|
|
|
Endometrioid carcinoma (3)
|
|
Endometrioid carcinoma (2)
Serous carcinoma (Subtyping error) (1)
|
|
|
Fibroma (2)
|
Benign stromal tumour (2)
|
|
|
|
Fibrothecoma (2)
|
Benign stromal tumour (2)
|
|
|
|
Granulosa cell tumor (5)
|
|
Granulosa cell tumor (5)
|
|
|
Benign teratoma (16)
|
Benign teratoma (15)
|
|
1
|
|
Mixed germ cell tumor (Yolk sac +
Embryonal carcinoma) (1)
|
|
Malignant germ cell tumor (1)
|
|
|
Metastatic SCC (1)
|
|
Malignant SCC (1)
|
|
|
Undifferentiated carcinoma (1)
|
|
Malignant tumour (1)
|
|
|
Total-166 cases
|
127
|
38
|
1
|
|
*FN-False Negative, FP-False Positive
|
In the present
study, 7 cases showed discordance, which included
three cases of mucinous cystadenocarcinoma, one
case of endometrioid carcinoma, one case of
borderline serous tumor, one case of serous
cystadenofibroma, and one case of dermoid cyst
with torsion.
The accuracy of
scrape cytology was 97.58%, with a sensitivity of
92.5%, specificity of 99.2%, positive predictive
value (PPV) of 97.4% and negative predictive value
(NPV) of 97.6%.
Discussion
Intraoperative
diagnostic techniques such as frozen section (FS),
imprint cytology, and scrape cytology (SC) play a
crucial role in guiding immediate surgical
decisions, particularly when the choice between
conservative and radical surgery depends on
real-time tissue assessment.[3,6] Although FS is
well established as the gold standard, its
dependence on costly equipment, cryostat
availability, and trained personnel limits its use
in many settings, especially in
resource-constrained hospitals.[1,6] This gap
highlights the importance of intraoperative
cytology (IOC), which is simple, rapid,
cost-effective, and capable of preserving
excellent cellular detail without freezing
artifacts. Additionally, unlike FS, cytological
smears allow sampling from multiple heterogeneous
areas of a lesion, improving the chances of
detecting representative pathology within a short
operative window.[1,3,7]
Scrape cytology, in
particular, offers superior cellularity and
morphology compared with imprint smears, making it
a practical alternative.[1,7] Since the technique
was first introduced by Dudgeon and Patrick in
1927, its utility has grown significantly,
especially in the evaluation of ovarian tumors—an
area where rapid categorization into benign,
borderline, or malignant directly influences the
surgical approach.[1,3] However, achieving
accurate interpretation requires integration of
cytomorphology with gross findings, radiologic
impressions, and clinical data to avoid diagnostic
pitfalls.[1,3]
The demographic
patterns in our study revealed a predominance of
cases in the 41–50 years age group, consistent
with increasing ovarian neoplasm incidence in
perimenopausal women. Bilateral ovarian
involvement (6.6%) was comparable to that reported
by Samaddar et al.[1] but lower than the rates
reported by Sodha et al.[8]
Most tumors were of
epithelial origin (83.1%), aligning with global
trends that identify surface epithelial tumors as
the most common ovarian neoplasms. This was
followed by germ cell tumors in 17 cases (10.2%),
which was concordant with the findings reported by
Shahid et al.[3] and Samaddar et al.[1]
Among surface
epithelial tumors, serous tumors (59%) were the
most common, which was concordant with studies
done by Shahid et al.[3] and Samaddar et al.[1],
whereas Bohara et al.[7] reported mucinous tumors
as the predominant type.
In benign tumors,
serous cystadenoma (77 cases, 46.4%) was the most
common, showing clusters of cuboidal epithelial
cells, mostly with occasional ciliated epithelial
cells, without nuclear atypia, in a clear
background (Figure 1). A case of serous
cystadenofibroma was misinterpreted as a
borderline serous tumor, possibly due to the
presence of branching papillae lined by
multilayered epithelial cells with mild atypia.

|
| Figure
1A & B: Serous cystadenoma: Scrape
smears showing clusters of monomorphic
cells in sheets, clusters (H&E, Giemsa
x100). |
Among the two
borderline serous epithelial tumors, one case was
correctly diagnosed on scrape cytology, which
showed complex papillary architecture lined by
multilayered low columnar epithelial cells with
mild nuclear atypia and inconspicuous nucleoli
(Figure 2). Another case was misinterpreted as a
benign serous cystadenoma on scrape cytology in
the present study, a finding that has also been
reported in studies by Sodha et al.[8],
Khunamornpong et al.[6] and Shahid et al.[3] This
misinterpretation might be attributed to the
absence of complex branching, nuclear
pleomorphism, and atypia, causing the lesion to
mimic a benign serous tumor.

|
| Figure
2A & B: Borderline Serous cystadenoma:
Scrape smears showing clusters of
epithelial cells in papillae and clusters
with nuclear atypia. 2C& D: Serous
carcinoma showing highly cellular smears
with marked nuclear pleomorphism (H&E,
Giemsa x200). |
All cases of serous
carcinoma(18/18cases), were correctly identified
on scrape cytology. These smears were highly
cellular, with cells arranged in complex papillae,
clusters and singly dispersed patterns. Individual
cells showed a high nuclear- to-cytoplasmic ratio,
irregular nuclear membranes, and moderate
cytoplasm, with a necrotic background (Figure 2).
Mucinous tumors were
the second most common findings in our study.
Mucinous cystadenoma was cytologically diagnosed
by the presence of monolayered sheets of columnar
epithelial cells with a honeycomb appearance and
peripheral palisading, without nuclear atypia, in
a mucoid background. All cases of mucinous
cystadenomas (30 cases, 18%) were correctly
identified on scrape cytology. Among the 9 cases
(4.2%) of mucinous cystadenocarcinomas, 6 cases
(66.7%) showed discohesive clusters as well as
singly dispersed, moderately pleomorphic cells.
Few cells also exhibited mucin vacuoles and
nuclear atypia, with a dirty mucinous background
(Figure 3). Two cases of mucinous
cystadenocarcinoma were misinterpreted as benign
mucinous cysts on cytology, likely due to sampling
error related of heterogeneous nature and large
size of the tumors. Additionally, one case of
mucinous adenocarcinoma was misinterpreted as a
borderline mucinous tumor, as only clusters of
columnar cells with mild atypia were observed
Similar finding has been observed in study done by
Vijayakumar et al.[9]

|
| Figure
3A: Scrape smears of mucinous cystadenoma
showing epithelial cell cluster with honey
combing and mucin in the background
(H& E x 100). 3B: Mucinous
Cystadenocarcinoma showing pleomorphic
cells in clusters and sheets with mucin
vacuoles. |
Among the 3 cases
(1.8%) of endometrioid carcinomas, 2 cases showed
clusters of highly atypical cells arranged in
clusters, with focal glandular architecture and
singly dispersed cells (Figure 4). One case of
endometrioid carcinoma was misinterpreted as
serous carcinoma, as both entities can exhibit
relatively uniform atypical cells with high
nuclear-to-cytoplasmic ratios. Similar discordant
findings in the cytological diagnosis of
endometrial carcinoma were observed by Shahid et
al.[3] Distinguishing features, such as psammoma
bodies (more typical of serous carcinoma) or
gland-forming architecture (suggestive of
endometrioid carcinoma), may be overlooked in
limited cytological material, leading to
diagnostic difficulty.[3,6]

|
| Figure
4 A & B: Endometrioid carcinoma:
Scrape smears showing pleomorphic cells in
3D clusters, acini & sheets. |
Among the 16 cases
(9.6%) of germ cell tumors, 14 cases of mature
cystic teratomas were correctly diagnosed on
scrape cytology, showing abundant anucleate
squamous cells in a keratinous debris background.
One case was reported as indeterminate due to
scanty material. A case of mixed germ cell tumor
was noted. Overall, a 93.7% concordance was
observed between scrape cytological and
histopathological diagnosis, which is lower than
that reported in studies by Khunamornpong et
al.[6] and Shahid et al.[3]
Four cases (2.4%) of
benign stromal tumors were noted, which showed
predominantly spindle cells with bland nuclear
features, along with occasional plump cells having
vacuolated cytoplasm (Figure 5).

|
| Figure
5: Benign stromal tumor: Scrape smear
showing benign spindle cells scattered
singly (H& E x100). |
Granulosa cell
tumors (5 cases, 3%), were all correctly diagnosed
on scrape cytology, showing discohesive aggregates
of cells with monomorphic nuclei, granular
chromatin, and occasional nuclear grooves
producing characteristic “coffee-bean” appearance.
The tumor cells had pale cytoplasm with indistinct
cell borders.
In the present
study, one case of undifferentiated tumor and one
case of metastatic tumor were reported as
malignant on scrape cytology.
Histological
subtypes were correctly predicted in 95.2% of
cases, compared with 78% in the study by
Khunamornpong et al.[6] and 81.25% in the study by
Bohara et al.[7] The accuracy of scrape cytology
in identifying ovarian tumors was lower in
mucinous and borderline tumors, as these tumors
require architectural assessment and extensive
sampling, a limitation also highlighted in other
studies.[4,9-11] The overall diagnostic accuracy
of scrape cytology in the present study was 97.6%
which is concordant with findings reported in
previous studies (Table 3).
|
Table 3: Comparison of the
diagnostic accuracy of cytology in
ovarian tumors
|
|
Studies done by
|
No. of cases
|
Diagnostic accuracy
|
|
Shahid et al[3]
|
50
|
95.5%
|
|
Sodha et al8
|
57
|
96.5%
|
|
Gupta et al10
|
81
|
91%
|
|
Samaddar et al1
|
110
|
90.9%
|
|
Present study
|
166
|
97.6%
|
Beyond its
diagnostic utility, scrape cytology also has
significant educational value. It enhances
exposure to cytomorphological patterns and helps
trainees bridge the gap between gross pathology,
histopathology, and clinical decision-making.
Conclusion
Scrape cytology is a
highly effective intraoperative diagnostic
technique for ovarian tumors. In this study, it
demonstrated excellent diagnostic accuracy, high
concordance with histopathology, and a strong
ability to differentiate benign from malignant
lesions. Although, borderline and mucinous tumors
pose interpretative challenges, scrape cytology
remains a practical and reliable adjunct,
especially in resource-limited settings where
frozen section facilities are unavailable. Its
speed, simplicity, and diagnostic strength support
its continued integration into intraoperative
decision-making for ovarian masses.
References
- Samaddar A, Talukdar M. Utility of Scrape
Cytology in Management of Ovarian Neoplasms: a
Cross-sectional Study in a Tertiary Care
Hospital of Eastern India. Indian J Surg
Oncol. 2022;13(4):907-14.
- Taqdees A, Arakeri SU. Role of Imprint and
Scrape Cytology in Tumour and Tumour Like
Lesions of Ovary. SSR Inst. Int. J. Life
Science. 2020; 6(6): 2670-77.
- Shahid M, Zaheer S, Mubeen A, Rahman K,
Sherwani RK. The role of intraoperative cytology
in the diagnostic evaluation of ovarian
neoplasms. Acta Cytol. 2012;56:467–73.
- Rao S, Sadiya N, Joseph LD, Rajendiran S. Role
of scrape cytology in ovarian neoplasms. J
Cytol. 2009;26:26‑9.
- Bhardwaj S, Ahluwalia C, Yadav AK, Zaheer S,
Kolte S, Arora R. Comparative diagnostic
accuracy of frozen sections and scrape cytology
in ovarian neoplasms. J Mid-life Health.
2019;10:89–92.
- Khunamornpong S, Siriaunkgul S. Scrape
cytology of the ovaries: Potential role in
intraoperative consultation of ovarian lesions.
Diagn Cytopathol. 2003;28:250‑7.
- Bohara S, Jain S, Khurana N, Shangpliang DM,
Agarwal S, Gandhi G. Intraoperative cytology of
ovarian neoplasms with an attempt to grade
epithelial tumors. J Cytol. 2018;35:1-7.
- Sodha DH, Macwan PI, Jadav K. Comparative
study of intraoperative frozen section and
scrape cytology with final histopathological
diagnosis in ovarian masses (a study of 57
cases). Int J Health Clin Res. 2021;4(20):1–7
- Vijayakumar A. The diagnostic utility of
intraoperative cytology in the management of
ovarian tumours. J Clin Diagn Res.
2013;7:1047‑50.
- Gupta AJ, Singh M, Bhattacharya JB, Anusha S,
Jain S, Khurana N. Intraoperative scrape
cytology from ovarian mass lesions: A study of
81 cases. J Cytol 2019;36:174-9.
- Luthra S, Agarwal S, Bohara S. Role of scrape
cytology smear preparation in the diagnosis of
ovarian masses‐utility and pitfalls. Diagnostic
Cytopathology. 2023;51(10):639–645.
|