PGParikshaa Gupta
Papers(12)
A sub‐hepatic nodule …Cervical cytology in …Cytodiagnosis of meta…Role of fractal dimen…Small Cell Carcinoma …Morphologic and Immun…Cervical cytology in …Bilateral adnexal mas…Solitary cutaneous me…Cytodiagnosis of bila…Ultrasound‐guided fin…Metastatic germ cell …
Collaborators(7)
Nalini GuptaPranab DeyRadhika SrinivasanManish RohillaTarunpreet SainiReetu KunduAnjali Gupta
Institutions(2)
Post Graduate Institu…Postgraduate Institut…

Papers

Cervical cytology in the detection of uterine clear cell carcinoma: Diagnostic predictors from a case‐control study

AbstractIntroductionUterine clear cell adenocarcinoma (CCC) is a rare, aggressive malignancy with poor prognosis. The present study aimed to identify and describe its characteristic morphological features in cervical cytology.MethodsThis was a 3‐year retrospective case‐control study. Cases included cervical samples of histopathologically proven endometrial and cervical CCC. Controls included cervical samples of histopathologically proven endometrial serous carcinoma (n = 15), endometrioid adenocarcinoma (n = 20), and endocervical adenocarcinoma (n = 15). Twenty‐eight cytomorphological features were evaluated; the strength of association was determined by odds ratio (OR) and Cramer's V, and the diagnostic accuracy of statistically significant features was assessed.ResultsCases consisted of histopathologically proven 25 (34.7%) endometrial and 13 (18.0%) cervical CCC. Corresponding cervical samples were available for a total of 14 (36.8%) patients, of which 13 (92.8%) were positive for epithelial cell abnormality. On univariate analysis, three cytomorphological variables were significant predictors of uterine CCC: presence of dense cytoplasm (OR = 88; V = 0.72), deep nuclear membrane irregularities (OR = 17.5; V = 0.55), and coarse chromatin (OR = 21.3; V = 0.46). Dense cytoplasm had the highest positive predictive value (92%) and high specificity (97.8%), whereas coarse chromatin had the highest sensitivity (92.3%) and negative predictive value (96.7%).ConclusionsThe presence of dense cytoplasm and deep nuclear membrane irregularities in the tumour cells were strong predictors, and coarse chromatin a moderate predictor, of uterine CCC compared to its close cytological mimics.

Role of fractal dimension in distinguishing benign from malignant endometrial clusters in liquid‐based cervical samples

AbstractIntroductionExfoliated endometrial cells are often seen as hyperchromatic crowded groups (HCGs) in cervical samples. It is challenging for the cytopathologists to discriminate between HCGs of benign and malignant endometrial cells. Fractal dimension (FD) analysis has proved to be a useful tool in discriminating between different types of cell groups in previous studies.AimsThis study was conducted to evaluate the utility of FD for differentiating between benign and malignant endometrial HCGs, in liquid‐based cervical samples.MethodsTwo groups of cervical samples, with subsequent histopathology, were selected: Group A: 30 cases with benign endometrial HCGs; and Group B: 39 cases with malignant endometrial HCGs. Image J, NIH and FracLac software were used for selecting and measuring the FD of the HCGs. Student t‐test was used for statistical analysis.ResultsThe mean FD for benign endometrial HCGs (1.066943 ± 0.0699) was significantly lower than that of the malignant endometrial HCGs (1.086271 ± 0.05121; P = .001). Using receiver operator characteristic curve analysis, we determined that an FD cut‐off value of 1.01 would yield sensitivity of 90.3%, specificity of 26.1%, positive predictive value of 47.3% and negative predictive value of 78.6%.ConclusionThe measurement of FD of HCGs in cervical samples can serve as a useful screening adjunct to differentiate malignant from benign HCGs, owing to its high sensitivity. However, in view of its low specificity and positive predictive value, we recommend that cases labelled as malignant by the FD value be confirmed for malignancy by other methods.

Small Cell Carcinoma of the Ovary: Clinicopathologic and Immunohistochemical Analysis of 7 New Cases of a Rare Malignancy

Background Small cell carcinoma of ovary (SCCO) is extremely rare. Two types of SCCO are recognized, the pulmonary type (SCCOPT) and the hypercalcemic type (SCCOHT). Establishing an accurate diagnosis is challenging, owing to its rarity and paucity of data describing the distinctive histopathologic and immunohistochemical (IHC) features. Methods This was a retrospective study conducted over a period of 4 years. All cases reported as SCCO on histopathology were retrieved. All the available clinical, histopathological, and IHC features were studied in detail. Results A total of 7 cases of SCCO were diagnosed during the study period. There were 4 cases of SCCOPT and 3 cases of SCCOHT and with mean age of 57.25 and 22 years, respectively. All the cases presented as stage IV disease. Among the SCCOPT cases, 3 showed bilateral involvement with 1 showing concurrent uterine endometrioid adenocarcinoma. Microscopy revealed small hyperchromatic cells with brisk mitosis and multifocal necrosis. On IHC, these were consistently positive for chromogranin, CD56, and synaptophysin. All the SCCOHT cases showed unilateral involvement. Microscopically, in addition to small hyperchromatic cells, larger “rhabdoid” tumor cells were also seen. On IHC, chromogranin was negative, with positivity for vimentin and epithelial membrane antigen. The expression of SMARCA4/BRG1 was lost while SMARCB1/INI1 was retained in all cases. All of these patients developed recurrence and died due to disease progression despite treatment. Conclusions SCCO is an extremely infrequent ovarian malignancy with poor prognosis. Knowledge about its characteristic features is important for accurate tissue diagnosis and appropriate management.

Morphologic and Immunocytochemical Features of High-Grade Serous Carcinoma of Ovary in Ascitic Fluid Effusion and Fine-Needle Aspiration Cytology

Abstract Objectives High-grade serous carcinoma (HGSC) is the most common ovarian malignancy. The role of cytopathology in obtaining tissue diagnosis before institution of neoadjuvant chemotherapy (NACT) was evaluated. Methods All histopathology-proven HGSC specimens between 2015 and 2018 with prior cytopathologic diagnosis by ascitic fluid evaluation or fine-needle aspiration (FNA) of ovarian mass were reviewed with cell block immunocytochemistry for CK7, CK20, PAX8, WT1, and p53. Results Of 288 cases of HGSC, pre-NACT cytology diagnosis was established in 32% (93/288), with specific HGSC diagnoses made on ascitic fluid in 88% (82/93) and by ovarian mass FNA in 12% (11/93). The ascitic fluid showed moderate/high cellularity with papillary clusters in 76% (71/93) cases. Cell block immunocytochemistry showed tumor cells positive for CK7, PAX8, and WT1. p53 showed mutant or null-type positivity in 65% (33/51) and 33% (17/51) of cases, respectively, with 100% concordance with subsequent histopathology specimens. Poor/intermediate response to chemotherapy was shown in 75% of cases. Conclusions Combined assessment of cytomorphology, cell block histomorphology, and ancillary immunohistochemical testing, including PAX8, WT1, and p53, allows for specific pre-NACT diagnoses of HGSC in ascitic fluid and ovarian FNA cytology. This practice allows for initiation of chemotherapy and diminution of disease burden prior to definitive surgical therapy.

Ultrasound‐guided fine needle aspiration of ovarian masses: Assessment of diagnostic accuracy and risk stratification using a categorical reporting system

AbstractIntroductionThe present study was undertaken to assess the accuracy of fine needle aspiration cytology (FNAC) and cell‐block immunocytochemistry, and to estimate the risk of malignancy, using a categorical reporting system, in the diagnosis of ovarian masses.MethodsThis was a 5‐year retrospective study of FNAs of ovarian masses. The cytological diagnoses were categorised as inadequate, non‐neoplastic, benign neoplasms, indeterminate for malignancy, suspicious for malignancy and malignant neoplasms. The cytology was correlated with the corresponding histopathology to assess the diagnostic accuracy and risk of malignancy associated with each diagnostic category.ResultsOf a total of 66 703 FNAs performed during the study period, 580 (0.9%) were performed on ovarian masses. Of these, 40 (6.9%) were reported as non‐neoplastic; 76 (13.1%) as benign neoplasms; 14 (2.4%) as indeterminate for malignancy, 48 (8.3%) as suspicious for malignancy, 337 (58.1%) as malignant neoplasms and 65 (11.2%) as inadequate for interpretation. Immunocytochemistry (ICC) was performed on 99 (17%) aspirates. Subsequent histopathology was available in 208 (35.8%) cases. On cyto‐histopathological correlation, 183 (88%) were concordant and 25 (12%) were discordant. The overall sensitivity, specificity, positive and negative predictive values and diagnostic accuracy for diagnosing ovarian malignancy were 88.4%, 85.7%, 96.8%, 60.0% and 88% respectively. Risk of malignancy for each category was 80%, 0%, 4.5%, 66.7%, 88.5% and 98.5% respectively.ConclusionsUltrasound‐guided FNAC has high specificity and diagnostic accuracy for preoperative diagnosis of ovarian malignancies and hence is a valid diagnostic procedure in certain clinical situations. Reporting using a categorical system imparts uniformity and also provides the clinicians with an associated risk of malignancy to guide further management.

15Papers
7Collaborators
CytodiagnosisBiomarkers, TumorOvarian NeoplasmsCarcinomaLung NeoplasmsUterine Cervical NeoplasmsLiver Neoplasms