Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence

Silvia Giordano; Sen Takeda; Matteo Davide DONADON; Hidekazu Saiki; Laura Brunelli; Roberta Pastorelli; Matteo Cimino; Cristiana Soldani; Barbara Franceschini; Luca Di Tommaso; Ana Lleo; Kentaro Yoshimura; Hiroki Nakajima; Guido Torzilli; Enrico Davoli

doi:10.1111/liv.14604

Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence

Silvia Giordano, Sen Takeda, Matteo Davide DONADON, Hidekazu Saiki, Laura Brunelli, Roberta Pastorelli, Matteo Cimino, Cristiana Soldani, Barbara Franceschini, Luca Di Tommaso, Ana Lleo, Kentaro Yoshimura, Hiroki Nakajima, Guido Torzilli, Enrico Davoli

Dipartimento di Scienze della Salute

Risultato della ricerca: Contributo su rivista › Articolo in rivista

Abstract

Complete surgical resection with negative margin is one of the pillars in treatment of liver tumours. However, current techniques for intra-operative assessment of tumour resection margins are time-consuming and empirical. Mass spectrometry (MS) combined with artificial intelligence (AI) is useful for classifying tissues and provides valuable prognostic information. The aim of this study was to develop a MS-based system for rapid and objective liver cancer identification and classification.

Lingua originale	Inglese
pagine (da-a)	3117-3124
Numero di pagine	8
Rivista	Liver International
Volume	40
Numero di pubblicazione	12
DOI	https://doi.org/10.1111/liv.14604
Stato di pubblicazione	Pubblicato - 2020

Keywords

artificial intelligence
liver cancer
liver surgery
liver tumours
mass spectrometry
resection margins

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10.1111/liv.14604

https://hdl.handle.net/11579/199231

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Giordano, S., Takeda, S., DONADON, M. D., Saiki, H., Brunelli, L., Pastorelli, R., Cimino, M., Soldani, C., Franceschini, B., Di Tommaso, L., Lleo, A., Yoshimura, K., Nakajima, H., Torzilli, G., & Davoli, E. (2020). Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence. Liver International, 40(12), 3117-3124. https://doi.org/10.1111/liv.14604

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title = "Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence",

abstract = "Complete surgical resection with negative margin is one of the pillars in treatment of liver tumours. However, current techniques for intra-operative assessment of tumour resection margins are time-consuming and empirical. Mass spectrometry (MS) combined with artificial intelligence (AI) is useful for classifying tissues and provides valuable prognostic information. The aim of this study was to develop a MS-based system for rapid and objective liver cancer identification and classification.",

keywords = "artificial intelligence, liver cancer, liver surgery, liver tumours, mass spectrometry, resection margins, artificial intelligence, liver cancer, liver surgery, liver tumours, mass spectrometry, resection margins",

author = "Silvia Giordano and Sen Takeda and DONADON, {Matteo Davide} and Hidekazu Saiki and Laura Brunelli and Roberta Pastorelli and Matteo Cimino and Cristiana Soldani and Barbara Franceschini and {Di Tommaso}, Luca and Ana Lleo and Kentaro Yoshimura and Hiroki Nakajima and Guido Torzilli and Enrico Davoli",

year = "2020",

doi = "10.1111/liv.14604",

language = "English",

volume = "40",

pages = "3117--3124",

journal = "Liver International",

issn = "1478-3223",

publisher = "Wiley-Blackwell Publishing Ltd",

number = "12",

}

Giordano, S, Takeda, S, DONADON, MD, Saiki, H, Brunelli, L, Pastorelli, R, Cimino, M, Soldani, C, Franceschini, B, Di Tommaso, L, Lleo, A, Yoshimura, K, Nakajima, H, Torzilli, G & Davoli, E 2020, 'Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence', Liver International, vol. 40, n. 12, pagg. 3117-3124. https://doi.org/10.1111/liv.14604

TY - JOUR

T1 - Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence

AU - Giordano, Silvia

AU - Takeda, Sen

AU - DONADON, Matteo Davide

AU - Saiki, Hidekazu

AU - Brunelli, Laura

AU - Pastorelli, Roberta

AU - Cimino, Matteo

AU - Soldani, Cristiana

AU - Franceschini, Barbara

AU - Di Tommaso, Luca

AU - Lleo, Ana

AU - Yoshimura, Kentaro

AU - Nakajima, Hiroki

AU - Torzilli, Guido

AU - Davoli, Enrico

PY - 2020

Y1 - 2020

N2 - Complete surgical resection with negative margin is one of the pillars in treatment of liver tumours. However, current techniques for intra-operative assessment of tumour resection margins are time-consuming and empirical. Mass spectrometry (MS) combined with artificial intelligence (AI) is useful for classifying tissues and provides valuable prognostic information. The aim of this study was to develop a MS-based system for rapid and objective liver cancer identification and classification.

AB - Complete surgical resection with negative margin is one of the pillars in treatment of liver tumours. However, current techniques for intra-operative assessment of tumour resection margins are time-consuming and empirical. Mass spectrometry (MS) combined with artificial intelligence (AI) is useful for classifying tissues and provides valuable prognostic information. The aim of this study was to develop a MS-based system for rapid and objective liver cancer identification and classification.

KW - artificial intelligence

KW - liver cancer

KW - liver surgery

KW - liver tumours

KW - mass spectrometry

KW - resection margins

KW - artificial intelligence

KW - liver cancer

KW - liver surgery

KW - liver tumours

KW - mass spectrometry

KW - resection margins

UR - https://iris.uniupo.it/handle/11579/199231

U2 - 10.1111/liv.14604

DO - 10.1111/liv.14604

M3 - Article

SN - 1478-3223

VL - 40

SP - 3117

EP - 3124

JO - Liver International

JF - Liver International

IS - 12

ER -

Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence

Abstract

Keywords

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