BACKGROUND: When attempting to interpret CT scans after radiofrequency thermal ablation (RFA) of liver tumors, it is sometimes difficult to distinguish ablated from viable tumor tissue. Identification of the two types of tissue is specially problematic for lesions that are hypodense before ablation. The aim of this study was to determine whether quantitative Hounsfield unit (HU) density measurements can be used to document the lack of tumor perfusion and thereby identify ablated tissue. METHODS: Liver spiral CT scans of 13 patients with 51 lesions undergoing laparoscopic RFA for metastatic liver tumors within a 2-year time period were reviewed. HU density of the lesions as well as normal liver were measured pre- and postoperatively in each CT phase (noncontrast, arterial, portovenous). Statistical analyses were performed using Student's paired t-test and ANOVA. RESULTS: Normal liver parenchyma, which was used as a control, showed a similar increase with contrast injection in both pre- and postprocedure CT scans (56.4 +/- 2.4 vs 57.1 +/- 2.4 HU, respectively; p = 0.3). In contrast, ablated liver lesions showed a preablation increase of 45.7 +/- 3.4 HU but only a minimal postablation increase of 6.6 +/- 0.7 HU (p < 0.0001). This was true for highly vascular tumors (neuroendocrine) as well as hypovascular ones (adenocarcinoma). CONCLUSIONS: This is the first study to define quantitative radiological criteria using HU density for the evaluation of ablated tissues. A lack of increase in HU density with contrast injection indicates necrotic tissue, whereas perfused tissue shows an increase in HU density. This technique can be used in the evaluation of patients undergoing RFA.
BACKGROUND: When attempting to interpret CT scans after radiofrequency thermal ablation (RFA) of liver tumors, it is sometimes difficult to distinguish ablated from viable tumor tissue. Identification of the two types of tissue is specially problematic for lesions that are hypodense before ablation. The aim of this study was to determine whether quantitative Hounsfield unit (HU) density measurements can be used to document the lack of tumor perfusion and thereby identify ablated tissue. METHODS: Liver spiral CT scans of 13 patients with 51 lesions undergoing laparoscopic RFA for metastatic liver tumors within a 2-year time period were reviewed. HU density of the lesions as well as normal liver were measured pre- and postoperatively in each CT phase (noncontrast, arterial, portovenous). Statistical analyses were performed using Student's paired t-test and ANOVA. RESULTS: Normal liver parenchyma, which was used as a control, showed a similar increase with contrast injection in both pre- and postprocedure CT scans (56.4 +/- 2.4 vs 57.1 +/- 2.4 HU, respectively; p = 0.3). In contrast, ablated liver lesions showed a preablation increase of 45.7 +/- 3.4 HU but only a minimal postablation increase of 6.6 +/- 0.7 HU (p < 0.0001). This was true for highly vascular tumors (neuroendocrine) as well as hypovascular ones (adenocarcinoma). CONCLUSIONS: This is the first study to define quantitative radiological criteria using HU density for the evaluation of ablated tissues. A lack of increase in HU density with contrast injection indicates necrotic tissue, whereas perfused tissue shows an increase in HU density. This technique can be used in the evaluation of patients undergoing RFA.
Authors: G Navarra; A Ayav; J-C Weber; S L Jensen; C Smadga; J P Nicholls; N A Habib; L R Jiao Journal: Int J Colorectal Dis Date: 2005-04-28 Impact factor: 2.571
Authors: Xiaodong Wang; Joseph P Erinjeri; Xiaoyu Jia; Mithat Gonen; Karen T Brown; Constantinos T Sofocleous; George I Getrajdman; Lynn A Brody; Raymond H Thornton; Majid Maybody; Ann M Covey; Robert H Siegelbaum; William Alago; Stephen B Solomon Journal: Cardiovasc Intervent Radiol Date: 2012-11-14 Impact factor: 2.740
Authors: Gemma Rossi; Maria Chiara Petrone; Marco Schiavo Lena; Luca Albarello; Diego Palumbo; Sabrina Gloria Giulia Testoni; Livia Archibugi; Matteo Tacelli; Piera Zaccari; Giuseppe Vanella; Laura Apadula; Stefano Crippa; Giulio Belfiori; Michele Reni; Massimo Falconi; Claudio Doglioni; Francesco De Cobelli; Andrew J Healey; Gabriele Capurso; Paolo Giorgio Arcidiacono Journal: DEN open Date: 2022-07-14