| Literature DB >> 30900607 |
Feifei Zhang1, Zhenning Feng1, Yichi Zhang1, Zishuai Liu1, Xiaoli Sun1, Shizhu Jin1.
Abstract
BACKGROUND/AIMS: The aim of this study was to determine the optimal volume of peritoneal effusion required to diagnose malignant ascites. PATIENTS AND METHODS: The authors recruited 123 patients with shifting dullness and obtained 123 peritoneocentesis fluid samples. The samples were divided into seven aliquots of 10, 50, 100, 150, 200, 250, and 300 mL for cytopathological examination. The sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were calculated for each aliquot.Entities:
Keywords: Diagnosis of malignant ascites; negative predictive value; optimal volume; paraffin-embedded cell blocks; sensitivity
Mesh:
Year: 2019 PMID: 30900607 PMCID: PMC6784429 DOI: 10.4103/sjg.SJG_547_18
Source DB: PubMed Journal: Saudi J Gastroenterol ISSN: 1319-3767 Impact factor: 2.485
Demographics of study patients
| Demographic variable | No. of patients | No. positive for malignancy | |
|---|---|---|---|
| Gender | |||
| Male | 54 | 41 (75.9) | 0.942 |
| Female | 69 | 52 (75.4) | |
| Age (years) | |||
| ≥60 | 75 | 60 (80.0) | 0.156 |
| <60 | 48 | 33 (68.8) | |
| History of any malignancy | 0.380 | ||
| Yes | 49 | 35 (71.4) | |
| No | 76 | 58 (76.3) | |
| Primary lesion | |||
| Gastric cancer | 30 | 22 (73.3) | 0.630 |
| Liver cancer | 26 | 20 (76.9) | |
| Ovarian cancer | 19 | 14 (73.6) | |
| Pancreatic cancer | 22 | 16 (72.7) | |
| Colon cancer | 15 | 12 (84.6) | |
| Peritoneal mesothelioma | 11 | 9 (81.8) |
P from Chi-square tests
Figure 1Sensitivities of different volumes of malignant ascites from different primary lesions
Cell block results
| Volume (mL) | Sensitivity | Specificity | PPV | NPV |
|---|---|---|---|---|
| 10 | 31.2% (29/93) | 96.4% (27/28) | 94.1% (29/30) | 29.7% (27/91) |
| 50 | 40.9% (38/93) | 92.8% (26/28) | 94.1% (38/40) | 32.1% (26/81) |
| 100 | 52.7% (43/93) | 89.3% (25/28) | 94.1% (43/46) | 36.2% (25/75) |
| 150 | 66.7% (47/93) | 85.7% (24/28) | 91.2% (47/66) | 43.6% (24/71) |
| 200 | 78.5% (73/93) | 82.1% (23/28) | 90.2% (73/78) | 53.5% (23/43) |
| 250 | 79.6% (74/93) | 82.1% (23/28) | 89.7% (74/79) | 54.8% (23/42) |
| 300 | 81.7% (76/93) | 78.6% (22/28) | 88.9% (76/82) | 56.4% (22/39) |
| 10 vs 200 | 0.000 | 0.087 | 0.535 | 0.008 |
| 50 vs 200 | 0.000 | 0.230 | 0.760 | 0.020 |
| 100 vs 200 | 0.000 | 0.449 | 0.981 | 0.032 |
| 150 vs 200 | 0.000 | 0.718 | 0.756 | 0.044 |
| 250 vs 200 | 0.857 | 1.000 | 0.983 | 0.906 |
| 300 vs 200 | 0.582 | 0.737 | 0.821 | 0.791 |
PPV: Positive predictive value; NPV: Negative predictive value
Results of diagnosis from the two pathologists
| Senior staff pathologist | ||
|---|---|---|
| Positive | Negative | |
| Junior staff pathologist | ||
| Positive | 89 | 6 |
| Negative | 5 | 21 |
Kappa=0.734; P=0.000