Wavelet-based algorithm to the evaluation of contrasted hepatocellular carcinoma in CT-images after transarterial chemoembolization.
Background: Hepatocellular carcinoma is a primary tumor of the liver and involves different treatment modalities according to the tumor stage. After local therapies, the tumor evaluation is based on the mRECIST criteria, which involves the measurement of the maximum diameter of the viable lesion. Th...
| Publicado en: | Radiation Oncology Vol. 9; no. 1; pp. 166 - 167 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103839159&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103839159 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1748717X 38NX jtl: Radiation Oncology issn: 1748717X maglogo: N pubinfo: dt: 2014 vid: 9 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 103839159 103839159 NLM25064234 2012676906 10.1186/1748-717X-9-166 NLM25064234 PMC4120712 103839159 ppf: 166 ppct: 1 formats: tig: atl: Wavelet-based algorithm to the evaluation of contrasted hepatocellular carcinoma in CT-images after transarterial chemoembolization. aug: au: Alvarez, Matheus de Pina, Diana Rodrigues Romeiro, Fernando Gomes Duarte, Sérgio Barbosa Miranda, José Ricardo de Arruda affil: Instituto de Biociências de Botucatu, Departamento de Física e Biofísica, UNESP - Universidade Estadual Paulista, Distrito de Rubiao Junior S/N, Botucatu, 18618-000 Sao Paulo, Brazil. matheus@ibb.unesp.br. sug: subj: Algorithms Carcinoma, Hepatocellular Radiography Chemoembolization, Therapeutic Contrast Media Diagnostic Use Liver Neoplasms Radiography Tomography, X-Ray Computed Carcinoma, Hepatocellular Pathology Carcinoma, Hepatocellular Therapy Human Liver Neoplasms Pathology Liver Neoplasms Therapy Phantoms, Imaging Prognosis ab: Background: Hepatocellular carcinoma is a primary tumor of the liver and involves different treatment modalities according to the tumor stage. After local therapies, the tumor evaluation is based on the mRECIST criteria, which involves the measurement of the maximum diameter of the viable lesion. This paper describes a computed methodology to measure through the contrasted area of the lesions the maximum diameter of the tumor by a computational algorithm.Methods: 63 computed tomography (CT) slices from 23 patients were assessed. Non-contrasted liver and HCC typical nodules were evaluated, and a virtual phantom was developed for this purpose. Optimization of the algorithm detection and quantification was made using the virtual phantom. After that, we compared the algorithm findings of maximum diameter of the target lesions against radiologist measures.Results: Computed results of the maximum diameter are in good agreement with the results obtained by radiologist evaluation, indicating that the algorithm was able to detect properly the tumor limits. A comparison of the estimated maximum diameter by radiologist versus the algorithm revealed differences on the order of 0.25 cm for large-sized tumors (diameter > 5 cm), whereas agreement lesser than 1.0 cm was found for small-sized tumors.Conclusions: Differences between algorithm and radiologist measures were accurate for small-sized tumors with a trend to a small decrease for tumors greater than 5 cm. Therefore, traditional methods for measuring lesion diameter should be complemented non-subjective measurement methods, which would allow a more correct evaluation of the contrast-enhanced areas of HCC according to the mRECIST criteria. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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