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Vascular microinvasion from hepatocellular carcinoma: CT findings and pathologic correlation for the best therapeutic strategies
- Publication Year :
- 2017
-
Abstract
- Recurrence of HCC reduces survival rates in patients treated with surgery, and one of the most relevant risk factors for tumour recurrence is microvascular invasion (mVI). The identification of mVI on preoperative examinations could improve surgical planningâs and techniques so as to reduce the risk of tumour recurrence. During our study, we have revised 101 CT examinations of the liver performed on patients diagnosed with solitary HCC who had surgical treatment and pathological analysis of the specimens for mVI in order to detect CT signs which could be reliable in mVI prediction. On CT examinations, the tumours were evaluated for margins, capsule, size, contrast enhancement, halo sign and Thad. From our statistical analysis, we found out that irregularity in tumour margins and defects in peritumoural capsule are the most significant characteristics predicting mVI in HCC. Every report on CT examinations performed on surgical candidate patients should include suggestions about mVI probability in order to tailor procedures, reduce tumour recurrence risk and improve survival rates.
- Subjects :
- Male
medicine.medical_specialty
Cancer Research
Carcinoma, Hepatocellular
Logistic Model
Hepatocellular carcinoma
Surgical planning
030218 nuclear medicine & medical imaging
Multidetector computed tomography
03 medical and health sciences
0302 clinical medicine
Pathologic correlation
Internal medicine
Liver oncology
medicine
Humans
In patient
Ct findings
Halo sign
Pathological
Hematology
business.industry
Liver Neoplasms
Patientâs outcome
General Medicine
Middle Aged
medicine.disease
Logistic Models
Oncology
Liver Neoplasm
030220 oncology & carcinogenesis
Therapeutic strategy
Female
Radiology
medicine.symptom
Neoplasm Recurrence, Local
business
Tomography, X-Ray Computed
Microvascular invasion
Human
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....f5b03c7f8b8070cb7ff3822635ffb595