US 10,743,829 B2Granted

Computer-assisted tumor response assessment and evaluation of the vascular tumor burden

AssigneeAi Metrics, LLC

InventorAndrew Dennis Smith

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Abstract

A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.

Claims20

Dependent claims

A computer system for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images, the computer system comprising:

one or more processors;
and
one or more computer readable hardware storage devices, wherein the one or more computer readable hardware storage devices comprise computer-executable instructions that when executed by at least one of the one or more processors cause the computer system to perform at least the following:
receive user data identifying one or more target lesions from one or more cross-sectional images of digital medical image data;
for each of the one or more target lesions identified:
receiving additional user data identifying a target lesion type, wherein the target lesion type comprises a mass or a lymph node;
receiving additional user data identifying a target lesion anatomical location;
activating a segmenting tool for segmenting the one or more target lesions into one or more regions of interest;
automatically extracting one or more lesion metrics from the one or more segmented regions of interest, wherein the one or more lesion metrics are automatically extracted in accordance with a user-selected or predefined tumor response criterion;
and
prompting the user to modify a user-segmented region of interest or to delete an associated target lesion that does not conform to one or more rules associated with the user-selected or predefined tumor response criterion;
repeat receiving user data identifying the one or more target lesions until a total number of lesions is selected in accordance with the user-selected or predefined tumor response criterion;
receive a response of one or more non-target lesions to the anti-cancer therapy based on the user-selected or predefined tumor response criterion;
receive a presence or an absence of one or more new lesions;
determine one or more changes to the one or more lesion metrics;
and
derive an objective tumor response based on the user-selected or predefined tumor response criterion.

14 more elements

A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images, the method comprising:

receiving user data identifying one or more target lesions from one or more cross-sectional images of digital medical image data;
identifying one or more rules associated with a user-selected or predefined tumor response criterion;
activating a segmenting tool for segmenting the one or more target lesions into one or more regions of interest;
prompting the user to modify a user-specified region of interest or to delete an associated target lesion from the identified cross-sectional images that does not conform to the one or more rules associated with the user-selected or predefined tumor response criterion;
automatically extracting one or more lesion metrics from the one or more segmented regions of interest, wherein the one or more lesion metrics are automatically extracted in accordance with the user-selected or predefined tumor response criterion;
receiving a presence or an absence of one or more new lesions;
and
generating a summary display comprising the user selected or predefined tumor response criterion and one or more lesion metrics.

5 more elements

A computer program product comprising one or more hardware storage devices having stored thereon computer-executable instructions that are executable by one or more processors of a computer system and that configure the computer system to determine and evaluate an objective tumor response to an anti-cancer therapy using one or more cross-sectional images, including computer-executable instructions that configure the computer system to perform at least the following:

(i) identify one or more rules associated with a user-selected or predefined tumor response criterion;
(ii) identify a cross-sectional image of digital medical image data comprising a user-selected target lesion;
for the user-selected target lesion,
(iii) identify a target lesion type comprising a mass or a lymph node;
(iv) identify a target lesion anatomical location;
and
(v) prompt a user to modify or delete a user-specified region of interest or the user-selected target lesion if it does not meet one or more requirements associated with the user-selected or predefined tumor response criterion;
(vi) repeat steps (i)(v) until a total number of target lesions identified is in accordance with the user-selected or predefined tumor response criterion;
and
(vii) generate a summary display comprising the user selected or predefined tumor response criterion and the one or more lesion metrics.

7 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/525,351Filed 29 Jul 2019 · continuation
Priority: 4 May 2015
Published: US 2019/0343476 A114 Nov 2019
Granted: 18 Aug 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

A61B 6/5211
Devices using data or image processing specially adapted for radiation diagnosis: involving processing of medical diagnostic data
G06T 7/0016
Using an image reference approach: involving temporal comparison
G06T 7/90
Image analysis: determination of colour characteristics
G06T 2207/10072
Image acquisition modality: tomographic images

Family

Application62/156,836Us provisional application · filed 4 May 2015
PCT/US2016/030823Parent of this continuation · filed 4 May 2016
Application15/407,662Parent of this continuation · filed 17 Jan 2017
Application15/797,391Parent of this continuation · filed 30 Oct 2017
US 9,826,951 B2Parent of this continuation · filed 28 Nov 2017
US 2019/0343476 A1Pre-grant publication · published 14 Nov 2019
US 10,413,266 B2Parent of this continuation
US 2017/0119334 A1Published application
US 2018/0042568 A1Published application
US 10,743,829 B2This patent

From the US filing history. Foreign family members aren’t listed.