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


Journal

Journal of gastroenterology and hepatology
ISSN: 1440-1746
Titre abrégé: J Gastroenterol Hepatol
Pays: Australia
ID NLM: 8607909

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 30 04 2018
revised: 28 05 2018
accepted: 02 06 2018
pubmed: 15 6 2018
medline: 6 5 2019
entrez: 15 6 2018
Statut: ppublish

Résumé

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). 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 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. Pretherapeutic APT imaging can predict the tumor response to NAC in patients with LARC.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
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 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
RESULTS 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 CONCLUSIONS
Pretherapeutic APT imaging can predict the tumor response to NAC in patients with LARC.

Identifiants

pubmed: 29900583
doi: 10.1111/jgh.14315
doi:

Substances chimiques

Amides 0
Protons 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

140-146

Subventions

Organisme : a Grant-in-Aid for Scientific Research (C), JSPS KAKENHI
ID : 25461833

Informations de copyright

© 2018 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

Auteurs

Akihiro Nishie (A)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Yoshiki Asayama (Y)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Kousei Ishigami (K)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Yasuhiro Ushijima (Y)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Yukihisa Takayama (Y)

Department of Radiology Informatics and Network, Kyushu University, Fukuoka, Japan.

Daisuke Okamoto (D)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Nobuhiro Fujita (N)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Daisuke Tsurumaru (D)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Osamu Togao (O)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Koji Sagiyama (K)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

Tatsuya Manabe (T)

Department of Surgery and Oncology, Kyushu University, Fukuoka, Japan.

Eiji Oki (E)

Department of Surgery and Science, Kyushu University, Fukuoka, Japan.

Yuichiro Kubo (Y)

Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Tomoyuki Hida (T)

Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Minako Hirahashi-Fujiwara (M)

Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Jochen Keupp (J)

Philips Research, Hamburg, Germany.

Hiroshi Honda (H)

Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.

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Classifications MeSH