Prognostic role of standard uptake value according to pathologic features of lung adenocarcinoma

Pietro Bertoglio, Luigi Ventura, Vittorio Aprile, Maria Angela Cattoni, Dania Nachira, Filippo Lococo, Maria Rodriguez Perez, Francesco Guerrera, Fabrizio Minervini, Letizia Gnetti, Diana Bacchin, Francesca Franzi, Giulia Querzoli, Guido Rindi, Salvatore Bellafiore, Federico Femia, Andrea Viti, Peter Kestenholz, Enrico Ruffini, Massimiliano PaciStefano Margaritora, Andrea Selenito Imperatori, Marco Lucchi, Paolo Carbognani, Alberto Claudio Terzi

Research output: Contribution to journalArticle

Abstract

Objective: To evaluate the influence of lung adenocarcinoma second predominant pattern on the maximal standard uptake value (SUVmax) and its prognostic effect in different histologic groups. Methods: We retrospectively collected surgically resected pathologic stage I and II lung adenocarcinoma from nine European institutions. Only patients who underwent preoperative PET-CT and with available information regarding SUVmax of T (SUVmaxT) and N1 (SUVmaxN1) component were included. Results: We enrolled 344 patients with lung adenocarcinoma. SUVmaxT did not show any significant relation according to the second predominant pattern (p = 0.139); this relationship remained nonsignificant in patients with similar predominant pattern. SUVmaxT influenced the disease-free survival in the whole cohort (p = 0.002) and in low- and intermediate-grade predominant pattern groups (p = 0.040 and p = 0.008, respectively). In the high-grade predominant pattern cohort and in the pathologic N1 cases, SUVmaxT lost its prognostic power. SUVmaxN1 did not show any significant correlation with predominant and second predominant patterns and did not have any prognostic impact on DFS. Conclusions: SUVmaxT is influenced only by the adenocarcinoma predominant pattern, but not by second predominant pattern. Concurrently, in high-grade predominant pattern and pN1 group the prognostic power of SUVmaxT becomes nonsignificant.
Original languageEnglish
Pages (from-to)461-469
Number of pages9
JournalTumori
Volume108
DOIs
Publication statusPublished - 2022

Keywords

  • PET-CT
  • lung cancer
  • lung adenocarcinoma
  • SUV

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