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FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma

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. Pat...

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Autores principales: Jo, Joon-Hyung, Chung, Hyun Woo, So, Young, Yoo, Young Bum, Park, Kyoung Sik, Nam, Sang Eun, Lee, Eun Jeong, Noh, Woo Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947709/
https://www.ncbi.nlm.nih.gov/pubmed/35328247
http://dx.doi.org/10.3390/diagnostics12030694
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author Jo, Joon-Hyung
Chung, Hyun Woo
So, Young
Yoo, Young Bum
Park, Kyoung Sik
Nam, Sang Eun
Lee, Eun Jeong
Noh, Woo Chul
author_facet Jo, Joon-Hyung
Chung, Hyun Woo
So, Young
Yoo, Young Bum
Park, Kyoung Sik
Nam, Sang Eun
Lee, Eun Jeong
Noh, Woo Chul
author_sort Jo, Joon-Hyung
collection PubMed
description 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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spelling pubmed-89477092022-03-25 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 Diagnostics (Basel) Article 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. MDPI 2022-03-12 /pmc/articles/PMC8947709/ /pubmed/35328247 http://dx.doi.org/10.3390/diagnostics12030694 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jo, Joon-Hyung
Chung, Hyun Woo
So, Young
Yoo, Young Bum
Park, Kyoung Sik
Nam, Sang Eun
Lee, Eun Jeong
Noh, Woo Chul
FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma
title FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma
title_full FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma
title_fullStr FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma
title_full_unstemmed FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma
title_short FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma
title_sort fdg pet/ct to predict recurrence of early breast invasive ductal carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947709/
https://www.ncbi.nlm.nih.gov/pubmed/35328247
http://dx.doi.org/10.3390/diagnostics12030694
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