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Sökning: onr:"swepub:oai:DiVA.org:kth-238132" > Early tumor respons...

  • Buizza, GiuliaKTH,Medicinteknik och hälsosystem,Politecn Milan, CartCasLab, Dept Elect Informat & Bioengn, Piazza Leonardo Da Vinci 42, I-20133 Milan, Italy. (författare)

Early tumor response prediction for lung cancer patients using novel longitudinal pattern features from sequential PET/CT image scans

  • Artikel/kapitelEngelska2018

Förlag, utgivningsår, omfång ...

  • ELSEVIER SCI LTD,2018
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:kth-238132
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238132URI
  • https://doi.org/10.1016/j.ejmp.2018.09.003DOI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:139376331URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • QC 20181113
  • Purpose: A new set of quantitative features that capture intensity changes in PET/CT images over time and space is proposed for assessing the tumor response early during chemoradiotherapy. The hypothesis whether the new features, combined with machine learning, improve outcome prediction is tested. Methods: The proposed method is based on dividing the tumor volume into successive zones depending on the distance to the tumor border. Mean intensity changes are computed within each zone, for CT and PET scans separately, and used as image features for tumor response assessment. Doing so, tumors are described by accounting for temporal and spatial changes at the same time. Using linear support vector machines, the new features were tested on 30 non-small cell lung cancer patients who underwent sequential or concurrent chemoradiotherapy. Prediction of 2-years overall survival was based on two PET-CT scans, acquired before the start and during the first 3 weeks of treatment. The predictive power of the newly proposed longitudinal pattern features was compared to that of previously proposed radiomics features and radiobiological parameters. Results: The highest areas under the receiver operating characteristic curves were 0.98 and 0.93 for patients treated with sequential and concurrent chemoradiotherapy, respectively. Results showed an overall comparable performance with respect to radiomics features and radiobiological parameters. Conclusions: A novel set of quantitative image features, based on underlying tumor physiology, was computed from PET/CT scans and successfully employed to distinguish between early responders and non-responders to chemoradiotherapy.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Toma-Dasu, IulianaKarolinska Institutet (författare)
  • Lazzeroni, MartaKarolinska Institutet (författare)
  • Paganelli, ChiaraPolitecn Milan, CartCasLab, Dept Elect Informat & Bioengn, Piazza Leonardo Da Vinci 42, I-20133 Milan, Italy. (författare)
  • Riboldi, MarcoPolitecn Milan, CartCasLab, Dept Elect Informat & Bioengn, Piazza Leonardo Da Vinci 42, I-20133 Milan, Italy.;Ludwig Maximilians Univ Munchen, Fac Phys, Coloumbwall 1, D-5748 Garching, Germany. (författare)
  • Chang, Yong JunKTH,Medicinteknik och hälsosystem(Swepub:kth)u1ff1pzw (författare)
  • Smedby, Örjan,1956-KTH,Medicinsk avbildning(Swepub:kth)u1vc2uzb (författare)
  • Wang, Chunliang,1980-KTH,Medicinsk avbildning(Swepub:kth)u1tbkeej (författare)
  • KTHMedicinteknik och hälsosystem (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Physica medica (Testo stampato): ELSEVIER SCI LTD54, s. 21-291120-17971724-191X

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