Amide proton transfer imaging to predict tumor response to neoadjuvant chemotherapy in locally advanced rectal cancer

Akihiro Nishie, Yoshiki Asayama, Kosei Ishigami, yasuhiro ushijima, Yukihisa Takayama, Daisuke Okamoto, nobuhiro fujita, Daisuke Tsurumaru, Osamu Togao, Koji Sagiyama, Tatsuya Manabe, Eiji Oki, yuichiro kubo, Tomoyuki Hida, Minako Hirahashi-Fujiwara, Jochen Keupp, Hiroshi Honda

研究成果: ジャーナルへの寄稿記事

3 引用 (Scopus)

抄録

Background and Aim: The amount of proteins and peptides can be estimated with amide proton transfer (APT) imaging. Previous studies demonstrated the usefulness of APT imaging to predict tumor malignancy. We determined whether APT imaging can predict the tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced rectal cancer (LARC). Methods: Seventeen patients with LARC who underwent a pretherapeutic magnetic resonance examination including APT imaging and NAC (at least two courses) were enrolled. The APT-weighted imaging (WI) signal intensity (SI) (%) was defined as magnetization transfer ratio asymmetry (MTR asym ) at the offset of 3.5 ppm. Each tumor was histologically evaluated for the degree of degeneration and necrosis and then classified as one of five histological Grades (0, none; 1a, less than 1/3; 1b, 1/3 to 2/3; 2, more than 2/3; 3, all). We compared the mean APTWI SIs of the tumors between the Grade 0/1a/1b (low-response group) and Grade 2/3 (high-response group) by Student's t-test. We used receiver operating characteristics curves to determine the diagnostic performance of the APTWI SI for predicting the tumor response. Results: The mean APTWI SI of the low-response group (n = 12; 3.05 ± 1.61%) was significantly higher than that of the high-response group (n = 5; 1.14 ± 1.13%) (P = 0.029). The area under the curve for predicting the tumor response using the APTWI SI was 0.87. When ≥2.75% was used as an indicator of low-response status, 75% sensitivity and 100% specificity of the APTWI SI were obtained. Conclusion: Pretherapeutic APT imaging can predict the tumor response to NAC in patients with LARC.

元の言語英語
ページ(範囲)140-146
ページ数7
ジャーナルJournal of Gastroenterology and Hepatology (Australia)
34
発行部数1
DOI
出版物ステータス出版済み - 1 1 2019

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Rectal Neoplasms
Amides
Protons
Drug Therapy
Neoplasms
ROC Curve
Area Under Curve
Necrosis
Magnetic Resonance Spectroscopy
Students
Sensitivity and Specificity
Peptides

All Science Journal Classification (ASJC) codes

  • Hepatology
  • Gastroenterology

これを引用

Amide proton transfer imaging to predict tumor response to neoadjuvant chemotherapy in locally advanced rectal cancer. / Nishie, Akihiro; Asayama, Yoshiki; Ishigami, Kosei; ushijima, yasuhiro; Takayama, Yukihisa; Okamoto, Daisuke; fujita, nobuhiro; Tsurumaru, Daisuke; Togao, Osamu; Sagiyama, Koji; Manabe, Tatsuya; Oki, Eiji; kubo, yuichiro; Hida, Tomoyuki; Hirahashi-Fujiwara, Minako; Keupp, Jochen; Honda, Hiroshi.

:: Journal of Gastroenterology and Hepatology (Australia), 巻 34, 番号 1, 01.01.2019, p. 140-146.

研究成果: ジャーナルへの寄稿記事

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title = "Amide proton transfer imaging to predict tumor response to neoadjuvant chemotherapy in locally advanced rectal cancer",
abstract = "Background and Aim: The amount of proteins and peptides can be estimated with amide proton transfer (APT) imaging. Previous studies demonstrated the usefulness of APT imaging to predict tumor malignancy. We determined whether APT imaging can predict the tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced rectal cancer (LARC). Methods: Seventeen patients with LARC who underwent a pretherapeutic magnetic resonance examination including APT imaging and NAC (at least two courses) were enrolled. The APT-weighted imaging (WI) signal intensity (SI) ({\%}) was defined as magnetization transfer ratio asymmetry (MTR asym ) at the offset of 3.5 ppm. Each tumor was histologically evaluated for the degree of degeneration and necrosis and then classified as one of five histological Grades (0, none; 1a, less than 1/3; 1b, 1/3 to 2/3; 2, more than 2/3; 3, all). We compared the mean APTWI SIs of the tumors between the Grade 0/1a/1b (low-response group) and Grade 2/3 (high-response group) by Student's t-test. We used receiver operating characteristics curves to determine the diagnostic performance of the APTWI SI for predicting the tumor response. Results: The mean APTWI SI of the low-response group (n = 12; 3.05 ± 1.61{\%}) was significantly higher than that of the high-response group (n = 5; 1.14 ± 1.13{\%}) (P = 0.029). The area under the curve for predicting the tumor response using the APTWI SI was 0.87. When ≥2.75{\%} was used as an indicator of low-response status, 75{\%} sensitivity and 100{\%} specificity of the APTWI SI were obtained. Conclusion: Pretherapeutic APT imaging can predict the tumor response to NAC in patients with LARC.",
author = "Akihiro Nishie and Yoshiki Asayama and Kosei Ishigami and yasuhiro ushijima and Yukihisa Takayama and Daisuke Okamoto and nobuhiro fujita and Daisuke Tsurumaru and Osamu Togao and Koji Sagiyama and Tatsuya Manabe and Eiji Oki and yuichiro kubo and Tomoyuki Hida and Minako Hirahashi-Fujiwara and Jochen Keupp and Hiroshi Honda",
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T1 - Amide proton transfer imaging to predict tumor response to neoadjuvant chemotherapy in locally advanced rectal cancer

AU - Nishie, Akihiro

AU - Asayama, Yoshiki

AU - Ishigami, Kosei

AU - ushijima, yasuhiro

AU - Takayama, Yukihisa

AU - Okamoto, Daisuke

AU - fujita, nobuhiro

AU - Tsurumaru, Daisuke

AU - Togao, Osamu

AU - Sagiyama, Koji

AU - Manabe, Tatsuya

AU - Oki, Eiji

AU - kubo, yuichiro

AU - Hida, Tomoyuki

AU - Hirahashi-Fujiwara, Minako

AU - Keupp, Jochen

AU - Honda, Hiroshi

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Background and Aim: The amount of proteins and peptides can be estimated with amide proton transfer (APT) imaging. Previous studies demonstrated the usefulness of APT imaging to predict tumor malignancy. We determined whether APT imaging can predict the tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced rectal cancer (LARC). Methods: Seventeen patients with LARC who underwent a pretherapeutic magnetic resonance examination including APT imaging and NAC (at least two courses) were enrolled. The APT-weighted imaging (WI) signal intensity (SI) (%) was defined as magnetization transfer ratio asymmetry (MTR asym ) at the offset of 3.5 ppm. Each tumor was histologically evaluated for the degree of degeneration and necrosis and then classified as one of five histological Grades (0, none; 1a, less than 1/3; 1b, 1/3 to 2/3; 2, more than 2/3; 3, all). We compared the mean APTWI SIs of the tumors between the Grade 0/1a/1b (low-response group) and Grade 2/3 (high-response group) by Student's t-test. We used receiver operating characteristics curves to determine the diagnostic performance of the APTWI SI for predicting the tumor response. Results: The mean APTWI SI of the low-response group (n = 12; 3.05 ± 1.61%) was significantly higher than that of the high-response group (n = 5; 1.14 ± 1.13%) (P = 0.029). The area under the curve for predicting the tumor response using the APTWI SI was 0.87. When ≥2.75% was used as an indicator of low-response status, 75% sensitivity and 100% specificity of the APTWI SI were obtained. Conclusion: Pretherapeutic APT imaging can predict the tumor response to NAC in patients with LARC.

AB - Background and Aim: The amount of proteins and peptides can be estimated with amide proton transfer (APT) imaging. Previous studies demonstrated the usefulness of APT imaging to predict tumor malignancy. We determined whether APT imaging can predict the tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced rectal cancer (LARC). Methods: Seventeen patients with LARC who underwent a pretherapeutic magnetic resonance examination including APT imaging and NAC (at least two courses) were enrolled. The APT-weighted imaging (WI) signal intensity (SI) (%) was defined as magnetization transfer ratio asymmetry (MTR asym ) at the offset of 3.5 ppm. Each tumor was histologically evaluated for the degree of degeneration and necrosis and then classified as one of five histological Grades (0, none; 1a, less than 1/3; 1b, 1/3 to 2/3; 2, more than 2/3; 3, all). We compared the mean APTWI SIs of the tumors between the Grade 0/1a/1b (low-response group) and Grade 2/3 (high-response group) by Student's t-test. We used receiver operating characteristics curves to determine the diagnostic performance of the APTWI SI for predicting the tumor response. Results: The mean APTWI SI of the low-response group (n = 12; 3.05 ± 1.61%) was significantly higher than that of the high-response group (n = 5; 1.14 ± 1.13%) (P = 0.029). The area under the curve for predicting the tumor response using the APTWI SI was 0.87. When ≥2.75% was used as an indicator of low-response status, 75% sensitivity and 100% specificity of the APTWI SI were obtained. Conclusion: Pretherapeutic APT imaging can predict the tumor response to NAC in patients with LARC.

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