The detection of peritoneal carcinomatosis in patients with ovarian cancer is crucial to establish the correct therapeutic planning (debulking surgery versus neoadjuvant chemotherapy). Often, however, the nodules of peritoneal carcinomatosis are very small in size or have a reticular appearance that can mimic the fat stranding that is typical of acute inflammation conditions. Our hypothesis is that the use of dual-layer spectral computed tomography with its applications, such as virtual monoenergetic imaging and Z-effective imaging, might improve the detection and the characterisation of peritoneal nodules, increasing sensitivity and diagnostic accuracy, as recently described for other oncological diseases.

Spectral CT in peritoneal carcinomatosis from ovarian cancer: a tool for differential diagnosis of small nodules?

Zorzetto, Giada;Coppola, Andrea;Casarin, Jvan;Fontana, Federico;Piacentino, Filippo;Carcano, Giulio;Ghezzi, Fabio;Venturini, Massimo
2022-01-01

Abstract

The detection of peritoneal carcinomatosis in patients with ovarian cancer is crucial to establish the correct therapeutic planning (debulking surgery versus neoadjuvant chemotherapy). Often, however, the nodules of peritoneal carcinomatosis are very small in size or have a reticular appearance that can mimic the fat stranding that is typical of acute inflammation conditions. Our hypothesis is that the use of dual-layer spectral computed tomography with its applications, such as virtual monoenergetic imaging and Z-effective imaging, might improve the detection and the characterisation of peritoneal nodules, increasing sensitivity and diagnostic accuracy, as recently described for other oncological diseases.
2022
2022
Cytoreduction surgical procedures, Diagnosis (differential), Ovarian neoplasm, Peritoneal neoplasms, Tomography (x-ray computed)
Zorzetto, Giada; Coppola, Andrea; Molinelli, Valeria; Angeretti, Maria Gloria; Casarin, Jvan; Fontana, Federico; Piacentino, Filippo; Carcano, Giulio;...espandi
File in questo prodotto:
File Dimensione Formato  
EUR RAD EXP 2022 Perit Carc.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.02 MB
Formato Adobe PDF
1.02 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2141613
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 7
social impact