Alexandra Ramona Huluta

Alexandra Ramona Huluta


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2022 in Diagnostics
Verified
Journal Article
Open access
PDF file
CLCristian Livadaru
Cristian Livadaru
MMMihaela Moscalu
Mihaela Moscalu
FGFlorina Adriana Ghitun
Florina Adriana Ghitun
AHAlexandra Ramona Huluta
Alexandra Ramona Huluta
CTCristina Terinte
Cristina Terinte
GDGabriel Mihail Dimofte
Gabriel Mihail Dimofte
Background: Monitoring surgical quality has been shown to reduce locoregional recurrence (LRR). We previously showed that the arterial stump length (ASL) after complete mesocolic excision (CME) is a reproducible quality instrument and correlates with the lymph-node (LN) yield. We hypothesized that generating an LRR prediction score by integrating the ASL would predict the risk of LRR after suboptimal surgery. Methods: 502 patients with curative resections for stage I–III colon cancer were divided in two groups (CME vs. non-CME) and compared in terms of surgical data, ASL-derived parameters, pathological parameters, LRR and LRR-free survival. A prediction score was generated to stratify patients at high risk for LRR. Results: The ASL showed significantly higher values (50.77 mm ± 28.5 mm) with LRR vs. (45.59 mm ± 28.1 mm) without LRR (p < 0.001). Kaplan–Meier survival analysis showed a significant increase in LRR-free survival at 5.58 years when CME was performed (Group A: 81%), in contrast to non-CME surgery (Group B: 67.2%). Conclusions: The prediction score placed 76.6% of patients with LRR in the high-risk category, with a strong predictive value. Patients with long vascular stumps and positive nodes could benefit from second surgery to complete the mesocolic excision.