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Vascular microinvasion from hepatocellular carcinoma: CT findings and pathologic correlation for the best therapeutic strategies.

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 planning's 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.
PMID
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Authors

Mayor MeshTerms
Keywords

Hepatocellular carcinoma

Liver oncology

Microvascular invasion

Multidetector computed tomography

Patient’s outcome

Therapeutic strategy

Journal Title medical oncology (northwood, london, england)
Publication Year Start




PMID- 28401484
OWN - NLM
STAT- MEDLINE
DA  - 20170412
DCOM- 20170414
LR  - 20170414
IS  - 1559-131X (Electronic)
IS  - 1357-0560 (Linking)
VI  - 34
IP  - 5
DP  - 2017 May
TI  - Vascular microinvasion from hepatocellular carcinoma: CT findings and pathologic 
      correlation for the best therapeutic strategies.
PG  - 93
LID - 10.1007/s12032-017-0949-7 [doi]
AB  - 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 planning's 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.
FAU - Reginelli, Alfonso
AU  - Reginelli A
AD  - Department of Internal and Experimental Medicine, Second University of Naples,
      Naples, Italy. [email protected]
FAU - Vanzulli, Angelo
AU  - Vanzulli A
AD  - Niguarda Cancer Center - ASST Grande Ospedale Metropolitano, University of
      Milano, Niguarda, Milan, Italy.
FAU - Sgrazzutti, Cristiano
AU  - Sgrazzutti C
AD  - Niguarda Cancer Center - ASST Grande Ospedale Metropolitano, University of
      Milano, Niguarda, Milan, Italy.
FAU - Caschera, Luca
AU  - Caschera L
AD  - Niguarda Cancer Center - ASST Grande Ospedale Metropolitano, University of
      Milano, Niguarda, Milan, Italy.
FAU - Serra, Nicola
AU  - Serra N
AD  - Department of Internal and Experimental Medicine, Second University of Naples,
      Naples, Italy.
FAU - Raucci, Antonio
AU  - Raucci A
AD  - Department of Internal and Experimental Medicine, Second University of Naples,
      Naples, Italy.
FAU - Urraro, Fabrizio
AU  - Urraro F
AD  - Department of Internal and Experimental Medicine, Second University of Naples,
      Naples, Italy.
FAU - Cappabianca, Salvatore
AU  - Cappabianca S
AD  - Department of Internal and Experimental Medicine, Second University of Naples,
      Naples, Italy.
LA  - eng
PT  - Journal Article
DEP - 20170412
PL  - United States
TA  - Med Oncol
JT  - Medical oncology (Northwood, London, England)
JID - 9435512
SB  - IM
MH  - Carcinoma, Hepatocellular/*blood supply/diagnostic imaging/pathology
MH  - Female
MH  - Humans
MH  - Liver Neoplasms/*blood supply/diagnostic imaging/pathology
MH  - Logistic Models
MH  - Male
MH  - Middle Aged
MH  - Neoplasm Recurrence, Local/pathology
MH  - Tomography, X-Ray Computed
OTO - NOTNLM
OT  - Hepatocellular carcinoma
OT  - Liver oncology
OT  - Microvascular invasion
OT  - Multidetector computed tomography
OT  - Patient's outcome
OT  - Therapeutic strategy
EDAT- 2017/04/13 06:00
MHDA- 2017/04/15 06:00
CRDT- 2017/04/13 06:00
PHST- 2017/02/25 [received]
PHST- 2017/04/04 [accepted]
AID - 10.1007/s12032-017-0949-7 [doi]
AID - 10.1007/s12032-017-0949-7 [pii]
PST - ppublish
SO  - Med Oncol. 2017 May;34(5):93. doi: 10.1007/s12032-017-0949-7. Epub 2017 Apr 12.

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