| Literature DB >> 24701218 |
Man Chen1, Wei Wei Zhan2, Wen Ping Wang3.
Abstract
INTRODUCTION: Appropriate categorization is very important because the clinical management of each subtype of cystic breast lesions (CBLs) differs. The purpose was to evaluate the sonographic subtype-pathologic correlation, and to identify the effectiveness of the Breast Imaging Reporting and Data System (BI-RADS)-ultrasound (US) for differentiation of benign and malignant CBLs.Entities:
Keywords: Breast Imaging Reporting and Data System; breast; pathology; subtype; ultrasonography
Year: 2014 PMID: 24701218 PMCID: PMC3953978 DOI: 10.5114/aoms.2014.40734
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Rates of malignancy in each subtype of cystic breast lesions
| Subtype |
| Benign | Malignancy | Rate of malignancy (%) | d | Value of |
|---|---|---|---|---|---|---|
| Three varieties | 3 | < 0.001 | ||||
| Type 1 | 40 | 40 | 0 | 0.0 | ||
| Type 2 | 18 | 18 | 0 | 0.0 | ||
| Type 3 | 35 | 21 | 14 | 40.0 (23.8–56.2) | ||
| Others | 6 | 6 | 0 | 0.0 | ||
| Total | 99 | 85 | 14 | 14.1 (7.3–21.0) | ||
| Six varieties | 5 | < 0.001 | ||||
| Type I | 40 | 40 | 0 | 0.0 | ||
| Type II | 2 | 2 | 0 | 0.0 | ||
| Type III | 4 | 4 | 0 | 0.0 | ||
| Type IV | 18 | 18 | 0 | 0.0 | ||
| Type V | 15 | 11 | 4 | 26.7 (4.3–49.0) | ||
| Type VI | 20 | 10 | 10 | 50.0 (28.1–71.9) | ||
| Total | 99 | 85 | 14 | 14.1 (7.3–21.0) |
n – sample size of calculation, df – degrees of freedom.
Figure 1A – Sonogram of simple cyst with circumscribed margins, posterior acoustical enhancement, and no internal echoes. B – Schematic depiction of simple cyst
Figure 6A – Sonogram of complex xystic lesion presented with complex solid and cystic masses. B – Schematic depiction of complex cystic lesion presented with complex solid and cystic masses
Sonographic descriptors of CBLs according to the BI-RADS-US lexicon
| US features | Benign | Malignant | Value of | OR (95% CI) | ROC (95% CI) | Sensitivity (95% CI) (%) | Specificity (95% CI) (%) | PPV (95% CI) (%) | NPV (95% CI) (%) |
|---|---|---|---|---|---|---|---|---|---|
| Shape | 0.010 | 4.313 (1.325–14.040) | 0.656 (0.489–0.823) | 50.0 (23.8–76.2) | 81.2 (72.9–89.5) | 30.4 (11.6–49.2) | 90.8 (84.3–97.3) | ||
| Regular | 69 | 7 | 1.624 (0.952–2.769) | ||||||
| Irregular | 16 | 7 | 0.376 (0.190–0.747) | ||||||
| Orientation | < 0.001 | / | 0.571 (0.395–0.748) | 14.3 (0.0–32.6) | 100.0 (100.0–100.0) | 100.0 (100.0–100.0) | 87.6 (81.1–94.2) | ||
| Parallel | 85 | 12 | 1.167 (0.942–1.445) | ||||||
| Not parallel | 0 | 2 | / | ||||||
| Margin | 0.004 | 6.190 (1.622–23.620) | 0.637 (0.462–0.813) | 35.7 (10.6–60.8) | 91.8 (85.9–97.6) | 41.7 (13.8–69.6) | 89.7 (83.3–96.1) | ||
| Circumscribed | 78 | 9 | 1.427 (0.961–2.120) | ||||||
| Not circumscribed | 7 | 5 | 0.231 (0.085–0.626) | ||||||
| Echo pattern | < 0.001 | / | 0.876 (0.809–0.944) | 100.0 (100.0–100.0) | 75.3 (66.1–84.5) | 40.0 (23.8–56.2) | 100.0 (100.0–100.0) | ||
| Not complex | 64 | 0 | / | ||||||
| Complex | 21 | 14 | 0.247 (0.170–0.358) | ||||||
| Posterior acoustic shadowing | 0.233 | 0.484 (0.144-1.623) | 0.427 (0.258–0.597) | 64.3 (39.2–89.4) | 21.2 (12.5–29.9) | 11.8 (4.6–19.1) | 78.3 (61.4–95.1) | ||
| Present | 67 | 9 | 1.226 (0.817–1.840) | ||||||
| Absent | 18 | 5 | 0.593 (0.263–1.338) | ||||||
| Calcification | 0.036 | 6.917 (0.889–53.798) | 0.560 (0.386–0.734) | 14.3 (0.0–32.6) | 97.6 (94.4–100.0) | 50.0 (1.0–99.0) | 87.4 (80.7–94.0) | ||
| Present | 2 | 2 | 1.139 (0.918–1.414) | ||||||
| Absent | 83 | 12 | 0.165 (0.025–1.076) | ||||||
| Vascularity | < 0.001 | 28.800 (6.974–118.941) | 0.792 (0.636–0.948) | 64.3 (39.2–89.4) | 94.1 (89.1–99.1) | 64.3 (39.2–89.4) | 94.1 (89.1–99.1) | ||
| Present | 5 | 9 | 2.635 (1.302–5.332) | ||||||
| Absent | 80 | 5 | 0.092 (0.036–0.233) |
OR – odds ratio, CI – confidence interval, ROC – receiver operating characteristic, PPV – positive predictive value, NPV – negative predictive value
Figure 7The area under the Roc curve for diagnosis of malignant cystic breast lesions by sonographic descriptors according to the BI-RADS-US lexicon