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FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma.
Jo, Joon-Hyung; Chung, Hyun Woo; So, Young; Yoo, Young Bum; Park, Kyoung Sik; Nam, Sang Eun; Lee, Eun Jeong; Noh, Woo Chul.
Afiliação
  • Jo JH; Department of Nuclear Medicine, Konkuk University Medical Center, Seoul 05030, Korea.
  • Chung HW; Department of Nuclear Medicine, Konkuk University Medical Center, Seoul 05030, Korea.
  • So Y; Research Institute of Biomedical Science, Konkuk University School of Medicine, Seoul 05029, Korea.
  • Yoo YB; Department of Nuclear Medicine, Konkuk University Medical Center, Seoul 05030, Korea.
  • Park KS; Research Institute of Biomedical Science, Konkuk University School of Medicine, Seoul 05029, Korea.
  • Nam SE; Research Institute of Biomedical Science, Konkuk University School of Medicine, Seoul 05029, Korea.
  • Lee EJ; Department of Surgery, Konkuk University Medical Center, Seoul 05030, Korea.
  • Noh WC; Research Institute of Biomedical Science, Konkuk University School of Medicine, Seoul 05029, Korea.
Diagnostics (Basel) ; 12(3)2022 Mar 12.
Article em En | MEDLINE | ID: mdl-35328247
ABSTRACT
This study investigated the prognostic value of FDG PET/CT radiomic features for predicting recurrence in patients with early breast invasive ductal carcinoma (IDC). The medical records of consecutive patients who were newly diagnosed with primary breast IDC after curative surgery were reviewed. Patients who received any neoadjuvant treatment before surgery were not included. FDG PET/CT radiomic features, such as a maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), skewness, kurtosis, entropy, and uniformity, were measured for the primary breast tumor using LIFEx software to evaluate recurrence-free survival (RFS). A total of 124 patients with early breast IDC were evaluated. Eleven patients had a recurrence (8.9%). Univariate survival analysis identified large tumor size (>2 cm, p = 0.045), high Ki-67 expression (≥30%, p = 0.017), high AJCC prognostic stage (≥II, p = 0.044), high SUVmax (≥5.0, p = 0.002), high MTV (≥3.25 mL, p = 0.044), high TLG (≥10.5, p = 0.004), and high entropy (≥3.15, p = 0.003) as significant predictors of poor RFS. After multivariate survival analysis, only high MTV (p = 0.045) was an independent prognostic predictor. Evaluation of the MTV of the primary tumor by FDG PET/CT in patients with early breast IDC provides useful prognostic information regarding recurrence.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2022 Tipo de documento: Article