Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus

Pankaj Gupta; Usha Dutta; Pratyaksha Rana; Manphool Singhal; Ajay Gulati; Naveen Kalra; Raghuraman Soundararajan; Daneshwari Kalage; Manika Chhabra; Vishal Sharma; Vikas Gupta; Thakur Deen Yadav; Lileshwar Kaman; Santosh Irrinki; Harjeet Singh; Yashwant Sakaray; Chandan Krishuna Das; Uma Saikia; Ritambhara Nada; Radhika Srinivasan; Manavjit Singh Sandhu; Raju Sharma; Nitin Shetty; Anu Eapen; Harmeet Kaur; Avinash Kambadakone; Robbert de Haas; Vinay K. Kapoor; Savio George Barreto; Atul K. Sharma; Amol Patel; Pramod Garg; Sujoy K. Pal; Mahesh Goel; Shraddha Patkar; Anu Behari; Anil K. Agarwal; Bhawna Sirohi; Milind Javle; Giuseppe Garcea; Flavio Nervi; Volkan Adsay; Juan Carlos Roa; Ho Seong Han

doi:10.1007/s00261-021-03360-w

Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus

Pankaj Gupta, Usha Dutta, Pratyaksha Rana, Manphool Singhal, Ajay Gulati, Naveen Kalra, Raghuraman Soundararajan, Daneshwari Kalage, Manika Chhabra, Vishal Sharma, Vikas Gupta, Thakur Deen Yadav, Lileshwar Kaman, Santosh Irrinki, Harjeet Singh, Yashwant Sakaray, Chandan Krishuna Das, Uma Saikia, Ritambhara Nada, Radhika SrinivasanManavjit Singh Sandhu, Raju Sharma, Nitin Shetty, Anu Eapen, Harmeet Kaur, Avinash Kambadakone, Robbert de Haas, Vinay K. Kapoor, Savio George Barreto, Atul K. Sharma, Amol Patel, Pramod Garg, Sujoy K. Pal, Mahesh Goel, Shraddha Patkar, Anu Behari, Anil K. Agarwal, Bhawna Sirohi, Milind Javle, Giuseppe Garcea, Flavio Nervi, Volkan Adsay, Juan Carlos Roa, Ho Seong Han

Research output: Contribution to journal › Review article › peer-review

23 Scopus citations

Abstract

The Gallbladder Reporting and Data System (GB-RADS) ultrasound (US) risk stratification is proposed to improve consistency in US interpretations, reporting, and assessment of risk of malignancy in gallbladder wall thickening in non-acute setting. It was developed based on a systematic review of the literature and the consensus of an international multidisciplinary committee comprising expert radiologists, gastroenterologists, gastrointestinal surgeons, surgical oncologists, medical oncologists, and pathologists using modified Delphi method. For risk stratification, the GB-RADS system recommends six categories (GB-RADS 0–5) of gallbladder wall thickening with gradually increasing risk of malignancy. GB-RADS is based on gallbladder wall features on US including symmetry and extent (focal vs. circumferential) of involvement, layered appearance, intramural features (including intramural cysts and echogenic foci), and interface with the liver. GB-RADS represents the first collaborative effort at risk stratifying the gallbladder wall thickening. This concept is in line with the other US-based risk stratification systems which have been shown to increase the accuracy of detection of malignant lesions and improve management. Graphical abstract: [Figure not available: see fulltext.].

Original language	English (US)
Pages (from-to)	554-565
Number of pages	12
Journal	Abdominal Radiology
Volume	47
Issue number	2
DOIs	https://doi.org/10.1007/s00261-021-03360-w
State	Published - Feb 2022

Keywords

Gallbladder cancer
Method
Scoring
Ultrasound

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Gastroenterology
Urology

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Gupta, P., Dutta, U., Rana, P., Singhal, M., Gulati, A., Kalra, N., Soundararajan, R., Kalage, D., Chhabra, M., Sharma, V., Gupta, V., Yadav, T. D., Kaman, L., Irrinki, S., Singh, H., Sakaray, Y., Das, C. K., Saikia, U., Nada, R., ... Han, H. S. (2022). Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus. Abdominal Radiology, 47(2), 554-565. https://doi.org/10.1007/s00261-021-03360-w

Gupta, P, Dutta, U, Rana, P, Singhal, M, Gulati, A, Kalra, N, Soundararajan, R, Kalage, D, Chhabra, M, Sharma, V, Gupta, V, Yadav, TD, Kaman, L, Irrinki, S, Singh, H, Sakaray, Y, Das, CK, Saikia, U, Nada, R, Srinivasan, R, Sandhu, MS, Sharma, R, Shetty, N, Eapen, A, Kaur, H, Kambadakone, A, de Haas, R, Kapoor, VK, Barreto, SG, Sharma, AK, Patel, A, Garg, P, Pal, SK, Goel, M, Patkar, S, Behari, A, Agarwal, AK, Sirohi, B, Javle, M, Garcea, G, Nervi, F, Adsay, V, Roa, JC & Han, HS 2022, 'Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus', Abdominal Radiology, vol. 47, no. 2, pp. 554-565. https://doi.org/10.1007/s00261-021-03360-w

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title = "Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus",

abstract = "The Gallbladder Reporting and Data System (GB-RADS) ultrasound (US) risk stratification is proposed to improve consistency in US interpretations, reporting, and assessment of risk of malignancy in gallbladder wall thickening in non-acute setting. It was developed based on a systematic review of the literature and the consensus of an international multidisciplinary committee comprising expert radiologists, gastroenterologists, gastrointestinal surgeons, surgical oncologists, medical oncologists, and pathologists using modified Delphi method. For risk stratification, the GB-RADS system recommends six categories (GB-RADS 0–5) of gallbladder wall thickening with gradually increasing risk of malignancy. GB-RADS is based on gallbladder wall features on US including symmetry and extent (focal vs. circumferential) of involvement, layered appearance, intramural features (including intramural cysts and echogenic foci), and interface with the liver. GB-RADS represents the first collaborative effort at risk stratifying the gallbladder wall thickening. This concept is in line with the other US-based risk stratification systems which have been shown to increase the accuracy of detection of malignant lesions and improve management. Graphical abstract: [Figure not available: see fulltext.].",

keywords = "Gallbladder cancer, Method, Scoring, Ultrasound",

author = "Pankaj Gupta and Usha Dutta and Pratyaksha Rana and Manphool Singhal and Ajay Gulati and Naveen Kalra and Raghuraman Soundararajan and Daneshwari Kalage and Manika Chhabra and Vishal Sharma and Vikas Gupta and Yadav, {Thakur Deen} and Lileshwar Kaman and Santosh Irrinki and Harjeet Singh and Yashwant Sakaray and Das, {Chandan Krishuna} and Uma Saikia and Ritambhara Nada and Radhika Srinivasan and Sandhu, {Manavjit Singh} and Raju Sharma and Nitin Shetty and Anu Eapen and Harmeet Kaur and Avinash Kambadakone and {de Haas}, Robbert and Kapoor, {Vinay K.} and Barreto, {Savio George} and Sharma, {Atul K.} and Amol Patel and Pramod Garg and Pal, {Sujoy K.} and Mahesh Goel and Shraddha Patkar and Anu Behari and Agarwal, {Anil K.} and Bhawna Sirohi and Milind Javle and Giuseppe Garcea and Flavio Nervi and Volkan Adsay and Roa, {Juan Carlos} and Han, {Ho Seong}",

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AU - Gupta, Pankaj

AU - Dutta, Usha

AU - Rana, Pratyaksha

AU - Singhal, Manphool

AU - Gulati, Ajay

AU - Kalra, Naveen

AU - Soundararajan, Raghuraman

AU - Kalage, Daneshwari

AU - Chhabra, Manika

AU - Sharma, Vishal

AU - Gupta, Vikas

AU - Yadav, Thakur Deen

AU - Kaman, Lileshwar

AU - Irrinki, Santosh

AU - Singh, Harjeet

AU - Sakaray, Yashwant

AU - Das, Chandan Krishuna

AU - Saikia, Uma

AU - Nada, Ritambhara

AU - Srinivasan, Radhika

AU - Sandhu, Manavjit Singh

AU - Sharma, Raju

AU - Shetty, Nitin

AU - Eapen, Anu

AU - Kaur, Harmeet

AU - Kambadakone, Avinash

AU - de Haas, Robbert

AU - Kapoor, Vinay K.

AU - Barreto, Savio George

AU - Sharma, Atul K.

AU - Patel, Amol

AU - Garg, Pramod

AU - Pal, Sujoy K.

AU - Goel, Mahesh

AU - Patkar, Shraddha

AU - Behari, Anu

AU - Agarwal, Anil K.

AU - Sirohi, Bhawna

AU - Javle, Milind

AU - Garcea, Giuseppe

AU - Nervi, Flavio

AU - Adsay, Volkan

AU - Roa, Juan Carlos

AU - Han, Ho Seong

PY - 2022/2

Y1 - 2022/2

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AB - The Gallbladder Reporting and Data System (GB-RADS) ultrasound (US) risk stratification is proposed to improve consistency in US interpretations, reporting, and assessment of risk of malignancy in gallbladder wall thickening in non-acute setting. It was developed based on a systematic review of the literature and the consensus of an international multidisciplinary committee comprising expert radiologists, gastroenterologists, gastrointestinal surgeons, surgical oncologists, medical oncologists, and pathologists using modified Delphi method. For risk stratification, the GB-RADS system recommends six categories (GB-RADS 0–5) of gallbladder wall thickening with gradually increasing risk of malignancy. GB-RADS is based on gallbladder wall features on US including symmetry and extent (focal vs. circumferential) of involvement, layered appearance, intramural features (including intramural cysts and echogenic foci), and interface with the liver. GB-RADS represents the first collaborative effort at risk stratifying the gallbladder wall thickening. This concept is in line with the other US-based risk stratification systems which have been shown to increase the accuracy of detection of malignant lesions and improve management. Graphical abstract: [Figure not available: see fulltext.].

KW - Gallbladder cancer

KW - Method

KW - Scoring

KW - Ultrasound

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Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus

Abstract

Keywords

ASJC Scopus subject areas

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