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Baseline and early digital [ 18 F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study.
Vuijk, Floris A; Feshtali Shahbazi, Shirin; Noortman, Wyanne A; van Velden, Floris H P; Dibbets-Schneider, Petra; Marinelli, Andreas W K S; Neijenhuis, Peter A; Schmitz, Roderick; Ghariq, Eidrees; Velema, Laura A; Peters, Femke P; Smit, Frits; Peeters, Koen C M J; Temmink, Sofieke J D; Crobach, Stijn A L P; Putter, Hein; Vahrmeijer, Alexander L; Hilling, Denise E; de Geus-Oei, Lioe-Fee.
Afiliación
  • Vuijk FA; Department of Surgery, Leiden University Medical Center.
  • Feshtali Shahbazi S; Department of Radiology, Leiden University Medical Center, Leiden.
  • Noortman WA; Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center.
  • van Velden FHP; Biomedical Photonic Imaging Group, University of Twente, Enschede.
  • Dibbets-Schneider P; Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center.
  • Marinelli AWKS; Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center.
  • Neijenhuis PA; Department of Surgery, Haaglanden Medisch Centrum, Den Haag.
  • Schmitz R; Department of Surgery, Alrijne Ziekenhuis, Leiderdorp.
  • Ghariq E; Department of Surgery, Groene Hart Ziekenhuis, Gouda.
  • Velema LA; Department of Radiology, Leiden University Medical Center, Leiden.
  • Peters FP; Department of Radiation Oncology, Leiden University Medical Center.
  • Smit F; Department of Radiation Oncology, Leiden University Medical Center.
  • Peeters KCMJ; Department of Radiation Oncology, Antoni van Leeuwenhoek Hospital, Amsterdam.
  • Temmink SJD; Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center.
  • Crobach SALP; Department of Surgery, Leiden University Medical Center.
  • Putter H; Department of Surgery, Leiden University Medical Center.
  • Vahrmeijer AL; Department of Pathology, Leiden University Medical Center.
  • Hilling DE; Department of Medical Statistics, Leiden University Medical Center, Leiden.
  • de Geus-Oei LF; Department of Surgery, Leiden University Medical Center.
Nucl Med Commun ; 44(7): 613-621, 2023 Jul 01.
Article en En | MEDLINE | ID: mdl-37132268
ABSTRACT

OBJECTIVE:

In this pilot study, we investigated the feasibility of response prediction using digital [ 18 F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promising imaging modalities and timepoints for further investigation in a larger trial.

METHODS:

Rectal cancer patients scheduled to undergo neoadjuvant chemoradiation therapy were prospectively included in this trial, and underwent multiparametric MRI and [ 18 F]FDG PET/CT before, 2 weeks into, and 6-8 weeks after chemoradiation therapy. Two groups were created based on pathological tumor regression grade, that is, good responders (TRG1-2) and poor responders (TRG3-5). Using binary logistic regression analysis with a cutoff value of P  ≤ 0.2, promising predictive features for response were selected.

RESULTS:

Nineteen patients were included. Of these, 5 were good responders, and 14 were poor responders. Patient characteristics of these groups were similar at baseline. Fifty-seven features were extracted, of which 13 were found to be promising predictors of response. Baseline [T2 volume, diffusion-weighted imaging (DWI) apparent diffusion coefficient (ADC) mean, DWI difference entropy], early response (T2 volume change, DWI ADC mean change) and end-of-treatment presurgical evaluation MRI (T2 gray level nonuniformity, DWI inverse difference normalized, DWI gray level nonuniformity normalized), as well as baseline (metabolic tumor volume, total lesion glycolysis) and early response PET/CT (Δ maximum standardized uptake value, Δ peak standardized uptake value corrected for lean body mass), were promising features.

CONCLUSION:

Both multiparametric MRI and [ 18 F]FDG PET/CT contain promising imaging features to predict response to neoadjuvant chemoradiotherapy in LARC patients. A future larger trial should investigate baseline, early response, and end-of-treatment presurgical evaluation MRI and baseline and early response PET/CT.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Recto / Imágenes de Resonancia Magnética Multiparamétrica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nucl Med Commun Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Recto / Imágenes de Resonancia Magnética Multiparamétrica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nucl Med Commun Año: 2023 Tipo del documento: Article