| Literature DB >> 31115388 |
Fanyang Kong1, Xiangyu Kong2, Jianwei Zhu2, Tao Sun3, Yiqi Du2, Kaixuan Wang2, Zhendong Jin2, Zhaoshen Li1, Dong Wang1.
Abstract
BACKGROUND AND OBJECTIVES: Digital image analysis (DIA) has been reported to be a sensitive method to detect pancreatic neoplasms by assessing nuclear DNA content. The aim of the current study was to evaluate the diagnostic performance of DIA for pancreatic malignancy relative to conventional cytology (CC) in patients undergoing EUS-FNA. PATIENTS AND METHODS: One hundred and forty-two patients with suspected pancreatic malignancy were enrolled prospectively in this study. FNA sample from each patient was evenly divided and assessed by CC and DIA. Findings from histopathology of FNA specimens and a minimum 12-month follow-up were used as the standard.Entities:
Keywords: Conventional cytology; EUS-FNA; digital image analysis; pancreatic cancer
Year: 2019 PMID: 31115388 PMCID: PMC6714483 DOI: 10.4103/eus.eus_9_19
Source DB: PubMed Journal: Endosc Ultrasound ISSN: 2226-7190 Impact factor: 5.628
Figure 1Flowchart of the study
Figure 2Representative images of FNA specimens during digital image analysis. (a) Feulgen staining during digital image analysis demonstrates a benign sample (×400). (b) Feulgen staining during digital image analysis reveals a malignant sample (×400). Red arrows indicate typical nucleus
Figure 3DNA histograms showing cell distributions based on nuclear DNA content. (a) Benign specimen. (b) Malignant specimen. 2c, cells in the diploid range; 4c, cells in the tetraploid range. 5c was used in this study as the cutoff to define aneuploidy. Any cases with at least one 5c-exceeding event were interpreted as malignant cases
Baseline characteristics of patients
| Percentage | ||
|---|---|---|
| Age/years | ||
| Median | 62 | |
| Range | 18-80 | |
| Sex | ||
| Male | 94 | 66 (94/142) |
| Female | 48 | 34 (48/142) |
| Diagnoses | ||
| Malignant | 102 | 72 (102/142) |
| With pathohistological confirmation | 38 | 37 (38/102) |
| Adenocarcinoma | 26 | 68 (26/38) |
| Nonadenocarcinoma | 12 | 32 (12/38) |
| With clinical confirmation | 64 | 63 (64/102) |
| Benign | 40 | 28 (40/142) |
| Location | ||
| Uncinate process | 10 (8/2)a | 7 (10/142) |
| Head | 68 (50/18)a | 48 (68/142) |
| Body | 22 (12/10)a | 15 (22/142) |
| Tail | 22 (20/2)a | 15 (22/142) |
| Diffuse enlargement | 20 (12/8)a | 14 (20/142) |
aMalignant cases/benign cases
Performance characteristics of pancreatic FNA: Malignant plus benign
| CC | DIA | CC + DIA | CC/DIA | |
|---|---|---|---|---|
| Sensitivity | 75 (0.65-0.83) | 84 (0.76-0.90) | 67 (0.57-0.76) | 92 (0.85-0.97) |
| Specificity | 85 (0.65-0.82) | 80 (0.64-0.99) | 95 (0.83-0.99) | 70 (0.53-0.83) |
| PPV | 93 (0.85-0.98) | 92 (0.84-0.97) | 97 (0.90-1) | 89 (0.81-0.94) |
| NPV | 43 (0.43-0.70) | 67 (0.52-0.80) | 53 (0.41-0.65) | 78 (0.61-0.90) |
| Accuracy | 78 (0.72-0.88) | 83 (0.74-0.90) | 75 (0.74-0.88) | 86 (0.72-0.90) |
aStatistically significant (P<0.05) decrease relative to CC, bStatistically significant (P<0.05) increase relative to CC. All values are expressed as percentage (95% CI). CC: Conventional cytology, DIA: Digital image analysis, CI: Confidence interval, PPV: Positive predictive value, NPV: Negative predictive value
Sensitivity based on tumor type for pancreatic FNA: Adenocarcinoma plus nonadenocarcinoma
| CC | DIA | CC + DIA | CC/DIA | |
|---|---|---|---|---|
| Adenocarcinoma ( | 84 (0.62-0.96) | 92 (0.75-0.99) | 77 (0.56-0.91) | 100 (-) |
| Nonadenocarcinoma ( | 83 (0.52-0.98) | 100 (0.74-1) | 83 (0.52-0.98) | 100 (-) |
CC: Conventional cytology, DIA: Digital image analysis
Sensitivity based on tumor location for pancreatic FNA
| CC | DIA | CC+DIA | CC/DIA | |
|---|---|---|---|---|
| Uncinate process ( | 25 (0.03-0.65) | 75 (0.35-0.97) | 25 (0.03-0.65) | 75 (0.35-0.97) |
| Head ( | 68 (0.53-0.81) | 84 (0.71-0.93) | 60 (0.45-0.74) | 92 (0.81-0.97) |
| Body ( | 67 (0.35-0.91) | 83 (0.52-0.98) | 67 (0.34-0.90) | 83 (0.52-0.98) |
| Tail ( | 100 (0.832-1) | 90 (0.68-0.99) | 90 (0.68-0.99) | 100 (0.83-1) |
| Diffuse enlargement ( | 100 (0.735-1) | 75 (0.35-0.97) | 83 (0.52-0.98) | 100 (0.74-1) |
CC: Conventional cytology, DIA: Digital image analysis
Performance characteristics of digital image analysis for pancreatic FNA based on cell number
| 500 ( | 1000 ( | 1500 ( | 2000 ( | |
|---|---|---|---|---|
| Sensitivity | 84 (0.76-0.96) | 91 (0.83-0.96) | 93 (0.86-0.97) | 94 (0.85-0.98) |
| Specificity | 80 (0.64-0.99) | 82 (0.60-0.95) | 86 (0.57-0.97) | 83 (0.52-0.98) |
| PPV | 92 (0.84-0.97) | 95 (0.89-0.99) | 97 (0.91-1.00) | 97 (0.90-1.00) |
| NPV | 67 (0.52-0.80) | 69 (0.48-0.86) | 67 (0.41-0.87) | 71 (0.42-0.92) |
| Accuracy | 83 (0.74-0.90) | 89 (0.76-0.97) | 92 (0.78-1.00) | 93 (0.76-1.00) |
PPV: Positive predictive value, NPV: Negative predictive value