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Predictive value of 18F-FDG PET/CT indices on extensive residual cancer burden in breast cancer patients treated with neoadjuvant chemotherapy.
Basoglu, Tugba; Özgüven, Salih; Özkan, Hülya Sahin; Çinar, Merve; Köstek, Osman; Demircan, Nazim Can; Arikan, Rukiye; Telli, Tugba Akin; Ercelep, Özlem; Kaya, Handan; Önes, Tunç; Erdil, Tanju Yusuf; Ugurlu, Mustafa Ümit; Dane, Faysal; Yumuk, Perran Fulden.
Afiliação
  • Basoglu T; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: basoglutugba@gmail.com.
  • Özgüven S; Marmara University School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey. Electronic address: drsozg@gmail.com.
  • Özkan HS; Marmara University School of Medicine, Department of Pathology, Istanbul, Turkey. Electronic address: drshulyasahin@gmail.com.
  • Çinar M; Marmara University School of Medicine, Department of Internal Medicine, Istanbul, Turkey. Electronic address: cinar.merve48@gmail.com.
  • Köstek O; Edirne State Hospital, Division of Medical Oncology, Edirne, Turkey. Electronic address: osmankostek@hotmail.com.
  • Demircan NC; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: ncdemircan@gmail.com.
  • Arikan R; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: dr_rukiyearikan@hotmail.com.
  • Telli TA; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: tugbaakintelli@gmail.com.
  • Ercelep Ö; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: ozlembalvan@yahoo.com.
  • Kaya H; Marmara University School of Medicine, Department of Pathology, Istanbul, Turkey. Electronic address: hkaya@marmara.edu.tr.
  • Önes T; Marmara University School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey. Electronic address: tones@marmara.edu.tr.
  • Erdil TY; Marmara University School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey. Electronic address: yerdil@marmara.edu.tr.
  • Ugurlu MÜ; Marmara University School of Medicine, Department of General Surgery, Istanbul, Turkey. Electronic address: umit.ugurlu@marmara.edu.tr.
  • Dane F; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: faysaldane@yahoo.com.
  • Yumuk PF; Marmara University School of Medicine, Division of Medical Oncology, Istanbul, Turkey. Electronic address: fuldenyumuk@yahoo.com.
Article em En | MEDLINE | ID: mdl-35577492
ABSTRACT

AIM:

We investigated the correlation between 18F-FDG PET/CT indices and pathological response in breast cancer treated with neoadjuvant chemotherapy (NACT) which was scored with Residual Cancer Burden (RCB) system after surgery. Our aim is to detect extensive residual cancer burden earlier by using PET/CT indices.

METHODS:

Characteristics of patients were retrieved retrospectively. Baseline maximum Standart Uptake Value (SUVmax), Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG) indices and reduction rate (RR) between baseline and interim evaluation were calculated with FDG PET/CT scan. All patients were evaluated according to RCB scores after surgery. Pathological responses and PET/CT measurement results were analyzed with demographic and clinical parameters.

RESULTS:

A total of 95 patients were included in the study. According to pathological responses, the distribution of RCB -0, -1, -2, -3 were 13 (13.7%), 11 (11.6%), 30 (31.6%), 41 (43.2%), respectively. Disease-free survival was significantly lower in the RCB3 group compared to the pathological responder group (p = 0.01). According to multivariate analysis, RR of SUVmax was determined as an independent variable predicting extensive residual cancer burden with an optimal cut-off value of 86% (p < 0.05).

CONCLUSIONS:

We determined RR of SUVmax as an independent factor for predicting extensive residual tumor burden. We believe that RR of SUVmax is sufficient to predict pathological response in daily practice. In addition, MTV and TLG measurements do not contribute additionally to SUVmax alone and can cause unnecessary labor loss.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Fluordesoxiglucose F18 Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Fluordesoxiglucose F18 Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article