Given the task definition, example input & output, solve the new input case.
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Example: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disabilities. A line scan diffusion-weighted magnetic resonance imaging (MRI) sequence with diffusion tensor analysis was applied to measure the apparent diffusion coefficient, to calculate relative anisotropy, and to delineate three-dimensional fiber architecture in cerebral white matter in preterm (n = 17) and full-term infants (n = 7). To assess effects of prematurity on cerebral white matter development, early gestation preterm infants (n = 10) were studied a second time at term. In the central white matter the mean apparent diffusion coefficient at 28 wk was high, 1.8 microm2/ms, and decreased toward term to 1.2 microm2/ms. In the posterior limb of the internal capsule, the mean apparent diffusion coefficients at both times were similar (1.2 versus 1.1 microm2/ms). Relative anisotropy was higher the closer birth was to term with greater absolute values in the internal capsule than in the central white matter. Preterm infants at term showed higher mean diffusion coefficients in the central white matter (1.4 +/- 0.24 versus 1.15 +/- 0.09 microm2/ms, p = 0.016) and lower relative anisotropy in both areas compared with full-term infants (white matter, 10.9 +/- 0.6 versus 22.9 +/- 3.0%, p = 0.001; internal capsule, 24.0 +/- 4.44 versus 33.1 +/- 0.6% p = 0.006). Nonmyelinated fibers in the corpus callosum were visible by diffusion tensor MRI as early as 28 wk; full-term and preterm infants at term showed marked differences in white matter fiber organization. The data indicate that quantitative assessment of water diffusion by diffusion tensor MRI provides insight into microstructural development in cerebral white matter in living infants.
Output: Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging.
This title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.

New input case for you: GOALS We investigated whether measurement of serum levels of the microRNAs (miRNAs) miR-16, miR-195, and miR-199a, alone or in combination with conventional serum markers, can help to differentiate hepatocellular carcinoma (HCC) from chronic liver diseases (CLDs).
BACKGROUND Recent reports suggest a link between aberrant expression of miRNA, and HCC. STUDY This retrospective analysis was conducted using sera from 105 HCC patients, 107 CLD patients, and 71 normal control subjects. The miRNAs were measured using real-time reverse transcription-polymerase chain reaction. The conventional HCC markers -fetoprotein (AFP), lens culinaris agglutinin-reactive AFP (AFP-L3%), and des--carboxyprothrombin (DCP) were measured with commercial kits.
RESULTS Serum levels of miR-16 and miR-199a were significantly lower in HCC than in CLD patients or control subjects (P<0.01). As a single marker, miR-16 had the highest sensitivity for HCC, followed by miR-199a, AFP, DCP, AFP-L3%, and miR-195. The combination of miR-16, AFP, AFP-L3%, and DCP yielded the optimal combination of sensitivity (92.4%) and specificity (78.5%) for HCC, overall and when analysis was restricted to patients with tumors size smaller than 3 cm. As a second-line HCC marker, miR-16 yielded positive HCC predictions in 18 of the 26 (69.2%) HCC patients with negative results on all 3 conventional markers, most of whom had tumors size smaller than 3 cm; miR-16 was falsely positive in only 12 of 96 (12.5%) CLD patients.
CONCLUSIONS The addition of miR-16 to conventional serum markers improved sensitivity and specificity for HCC. Use of miR-16 for second-line testing in cases considered negative on the basis of conventional HCC markers should be explored in larger, prospective studies.
Output:
Circulating microRNAs as biomarkers for hepatocellular carcinoma.