US 2024/0193779 A1Published application

System for helping diagnosing aggressive prostate cancers and related method

AssigneesInstitut National de la Sante et de la Recherche Medicale, Universite Grenoble Alpes, Centre National De La Recherche Scientifique, Hospices Civils De Lyon, Centre Leon Berard, Universite Claude Bernard Lyon 1

InventorsRémi SOUCHON, Tristan JAOUEN, Au HOANG-DINH, Christelle GONINDARD, Olivier ROUVIERE

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Abstract

The invention relates to a system and a method for computer-aided detection (CAD) of aggressive prostate cancers. The automatic diagnosis of aggressive prostate cancers is difficult and methods that work with some MRI scanners do not work as well when implemented on images from different scanners. By studying a data base containing MRI data and biopsy results from 265 patients, acquired by 4 different types of MRI scanners, using machine learning techniques, the inventors established a method for automatically determining the presence of aggressive cancers, this methods showing high sensitivity and specificity when implemented on another database containing MRI data from 270 patients, acquired by different MRI scanners than the first database. The method involves feeding MRI images to a system calculating a score for a portion of the prostate and determines that the portion contains an aggressive cancer based on whether a criterion depending on the score is verified.

Claims15

Dependent claims

A system for helping diagnosing aggressive prostate cancers, the system comprising a control module, the control module being configured to:

receive at least one magnetic resonance image of at least a first portion of the peripheral zone of a subject's prostate, the image comprising a set of pixels, the image comprising, for each pixel, an apparent diffusion coefficient value of a corresponding area of the prostate,
calculate a first score, and
determine that the first portion contains an aggressive cancer if a first criterion based on the calculated first score is verified, or that the first portion does not contain an aggressive cancer if the first criterion is not verified, and
the first score being calculated as a function of at least one of the following quantities x1 and x2:
x1=ADC+a1×W, wherein W is a value of a normalized wash-in rate or a normalized wash-out rate of the first portion, the wash-in or wash-out value being expressed in Hertz and being estimated from a set of magnetic resonance images of the first portion, ADC being a percentile of the apparent diffusion coefficient values of the first portion and being expressed in units of mm2/s, a1 being a first constant, the first constant being comprised between −6×10−3 and −10−3 mm2 and the percentile being inferior or equal to 40 when W is a normalized wash-in rate value, the first constant being comprised between 2×10−2 and 15×10−2 mm2 and the percentile being inferior or equal to 15 when W is a normalized wash-out rate value,
x2=ADC+b1×TTP, wherein b1 is a second constant comprised between 10−7 and 14×10−7 mm2/s2, ADC is a percentile comprised between 20 and 45 of the apparent diffusion coefficient values of all pixels corresponding to the first portion, and TTP is a time-to-peak value of the first portion, expressed in seconds, the time-to-peak value being a time duration from a first instant to a second moment, the first instant being a time of arrival of a contrast agent in the prostate, the second instant being a time of maximum contrast concentration of an MRI signal of the first portion.

3 more elements

A method for helping diagnosing aggressive prostate cancers, the method being implemented by a system comprising a control module, the method being implemented by the control module and comprising steps for:

receiving at least one magnetic resonance image of a first portion of the peripheral zone of a subject's prostate, the image comprising a set of pixels, the image comprising, for each pixel, an apparent diffusion coefficient value of a corresponding area of the first portion,
calculating a first score, and
determining that the first portion comprises an aggressive cancer based on the calculated first score,
the first score being calculated by the control module as a function of at least one of the following quantities x1 and x2:
x1=ADC+a1×W, wherein W is a value of a normalized wash-in rate or a normalized wash-out rate of the first portion, the wash-in or wash-out value being expressed in Hertz and being estimated from a set of magnetic resonance images of the first portion, ADC being a percentile of the apparent diffusion coefficient values of the first portion and being expressed in units of mm2/s, a1 being a first constant, the first constant being comprised between −6×10−3 and −10−3 mm2 and the percentile being inferior or equal to 40 when W is a normalized wash-in rate value, the first constant being comprised between 2×10−2 and 15×10−2 mm2 and the percentile being inferior or equal to 15 when W is a normalized wash-out rate value,
x2=ADC+b1×TTP, wherein b1 is a second constant comprised between 10−7 and 14×10−7 mm2/s2, ADC is a percentile comprised between 20 and 45 of the apparent diffusion coefficient values of all pixels corresponding to the first portion, and TTP is a time-to-peak value of the first portion, expressed in seconds, the time-to-peak value being a time duration from a first instant to a second moment, the first instant being a time of arrival of a contrast agent in the prostate, the second instant being a time of maximum contrast concentration of an MRI signal of the first portion.

3 more elements

Dependencies are inferred from the claim text.