| Literature DB >> 30636957 |
Pranjali Sejwal1, Milan Jaiswal1, Surbhi Pandey1.
Abstract
BACKGROUND ANDEntities:
Keywords: Cytology; Fineneedle Aspiration; Lymphadenopathy
Year: 2018 PMID: 30636957 PMCID: PMC6322528
Source DB: PubMed Journal: Iran J Pathol ISSN: 1735-5303
Frequency Distribution of Various Cervical Lymph Node Lesions
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|---|---|---|
| Benign (n=77) | ASL | 7 |
| TL | 14 | |
| GL | 14 | |
| NL | 12 | |
| RL | 29 | |
| SH | 1 | |
| Malignant (n=23) | SCC | 14 |
| PDC | 1 | |
| Adenocarcinoma | 1 | |
| HL | 4 | |
| NHL | 3 |
ASL: acute suppurative lymphadenitis, TL: tubercular lymphadenitis, GL: granulomatous lymphadenitis, NL: necrotizing lymphadenitis, RL: reactive lymphadenitis, SH: sinus histiocytosis;SCC, squamous cell carcinoma; PDC, poorly differentiated carcinoma; HL: Hodgkin lymphoma, NHL: nonHodgkin lymphoma
Cytohistopathological correlation in patients with cervical lymphadenopathy
| Cytopathological diagnosis | Histopathological diagnosis | |
|---|---|---|
| Malignant | Benign | |
|
| 23 (TP) | 2 (FP) |
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| 0 (FN) | 22(TN) |
TN: true negative cases; FN: false negative cases; FP: false positive cases; TP: true positive cases.
Diagnostic reliability of cytopathological diagnoses of cervical lymphnodes as compared with histopathological diagnoses
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|---|---|---|
| Sensitivity | 100 | 85.18100 |
| Specificity | 91.67 | 73.0098.97 |
| PPV | 92.0 | 73.9799.02 |
| NPV | 100 | 84.56100 |
| Diagnostic accuracy | 95.7 | 76.54100 |
PPV, positive predictive value; NPV, negative predictive value
Comparison of Different Statistical ParametersBetween thePresent Study andOtherStudies
| Sensitivity |
| Specificity | PPV | NPV | Diagnostic Accuracy(%) |
|---|---|---|---|---|---|
| Present study | 100 | 91.67 | 92 | 100 | 95.7 |
| Babu et al., 2014 | 89.5 | 100 | 100 | 90.5 | 91 |
| Qadri et al., 2012 | 94.5 | 90.5 | 96.6 | 85.2 | 92.4 |
| Qasmi et al., 2012 | 79.5 | 47.6 | 78 | 50 | 70 |
| Hafez et al., 2011 | 90.9 | 67.2 | 82.6 | 81.3 | 100 |
| Rakshan et al., 2009 | 75.8 | 96.6 | 94 | 85.1 | 88 |
PPV, positive predictive value; NPV, negative predictive value