Technical Field
[0001] The present disclosure relates to an information processing system, an information
processing method, and an information processing program.
Related Art
[0002] Conventionally, in the medical field, a computer aided diagnosis (CAD) system that
supports an image diagnosis performed by a person by detecting a lesion in an image through
a computer is known. Hereinafter, a detection result obtained by performing lesion detection
processing on a medical image through the computer will be referred to as a “CAD result”.
[0003] As a technology related to a CAD system, JP1994-251038A (JP-H06-251038A)
discloses a medical diagnosis support system that acquires first diagnosis information by
performing computer processing on medical examination data and that acquires second
diagnosis information obtained through image interpretation of the medical examination data
performed by an image interpreter, such as a doctor. In a case where a processing target
range of the first diagnosis information is not an entire range of the medical examination data,
the medical diagnosis support system determines whether or not a target range of the second
diagnosis information is within the processing target range of the first diagnosis information.
[0004] Further, JP2011-103095A discloses a medical image display system that acquires
examination result information for a medical image displayed on a display device, and a
medical image of a past examination in the same patient and the same examination conditions
as the medical image and detection result information obtained by a computer for the medical
image. This medical image display system extracts, on the basis of the acquired detection
result information, an image of a portion of an abnormal shadow candidate included in the
medical image being displayed on the display device and an image of a portion of an abnormal
shadow candidate included in the medical image of the past examination, and displays a list of
extracted images in a time series on the display device.
[0005] Further, JP2004-216008A discloses an image diagnosis support device that detects
abnormal shadow candidates from medical images and that decides a display order of the
medical images on the basis of malignancy, contrast, diagnosis difficulty, patient information,
or an imaging site of a detected abnormal shadow candidate portion.
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SUMMARY OF THE INVENTION
Technical Problem
[0007] In the work of diagnosing a patient using a medical image, each of an imaging
technician of a medical image, such as a radiographer, an medical image interpreter, such as an
image interpretation doctor, and a diagnostician who performs a comprehensive diagnosis of
the patient, such as a general diagnostician, interprets the medical image with reference to a
CAD result, in many cases. In this case, in a case where the current policies of “the CAD
result is a support of an image diagnosis performed by a person” and “the person has the
ultimate responsibility for the diagnosis” are operated, the loads on the imaging technician, the
image interpreter, and the diagnostician are not reduced even with a diagnosis support using
CAD.
[0008] In recent years, the accuracy of the CAD result has improved, and the frequency of
erroneous detection of a lesion has decreased. In addition, even if the CAD result includes
erroneous detection of a lesion, a risk to the life of the patient is low in a case where the error
is closer to a safe side. On the other hand, in a case where the CAD result is that the lesion is
not detected, there is a risk for the patient that the lesion is overlooked.
[0009] In addition, in a case where CAD is designed such that a computer detects even a very
small lesion for a specific type of lesion, the number of detected lesions increases, which is
troublesome for a person who interprets an image. In that respect, there is also a facility that
has an operation in which a person observes very small lesions and a computer does not
actively detect the very small lesions. For example, there is an operation in which a tumor of
5 mm or less in a lung disease is excluded from the detection target of the CAD.
[0010] Under the above assumptions, it is considered that, if there is a system capable of
realizing a flow in which the imaging technician, the image interpreter, and the diagnostician
perform only a simple confirmation for the lesion detected by the CAD and intensively
confirm a region in which nothing is detected in the medical image by the CAD, it is possible
to improve the efficiency of diagnosis using the CAD result performed by three parties, that is,
the imaging technician, the image interpreter, and the diagnostician.
[0011] The technologies disclosed in JP1994-251038A (JP-H06-251038A), JP2011-103095A,
and JP2004-216008A improve the efficiency of image interpretation in a case where the image
interpreter who interprets the medical image performs image interpretation with reference to
the CAD result, but do not improve the efficiency of diagnosis performed by the three parties,
that is, the imaging technician, the image interpreter, and the diagnostician.
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Solution to Problem
[0012] The present disclosure has been made in view of the above circumstances, and an
object of the present disclosure is to provide an information processing system, an information
processing method, and an information processing program capable of improving the
efficiency of diagnosis using a CAD result performed by three parties, that is, an imaging
technician, an image interpreter, and a diagnostician.
[0013] According to the present disclosure, there is provided an information processing system
comprising: a first information processing device for diagnosis of a medical image performed
by a computer; a second information processing device for an imaging technician who
captures the medical image; a third information processing device for an image interpreter
who interprets the medical image; and a fourth information processing device for a
diagnostician who performs a comprehensive diagnosis of a patient, in which each of the first
information processing device, the second information processing device, the third
information processing device, and the fourth information processing device includes at least
one processor, the processor of the first information processing device is configured to acquire
a medical image to be diagnosed, execute lesion detection processing on the acquired medical
image, and transmit an execution result of the lesion detection processing, the processor of the
second information processing device is configured to perform control to display the medical
image and the execution result, receive first input information of the imaging technician for
the execution result, and transmit the first input information, the processor of the third
information processing device is configured to perform control to display the medical image,
the execution result, and the first input information, receive second input information of the
image interpreter for the execution result, and transmit the second input information, and the
processor of the fourth information processing device is configured to perform control to
display the medical image, the execution result, and the second input information, receive a
comprehensive diagnosis result of the diagnostician, and store the diagnosis result.
[0014] In the information processing system of the present disclosure, the first input
information may be information indicating whether to approve or disapprove the execution
result.
[0015] In addition, in the information processing system of the present disclosure, the first
input information may be information indicating a non-detected lesion that is not included in
the execution result.
[0016] Further, in the information processing system of the present disclosure, the first input
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information may be information indicating deletion of a lesion included in the execution
result.
[0017] In addition, in the information processing system of the present disclosure, the second
input information may be information indicating whether to approve or disapprove the
execution result and the first input information.
[0018] Further, in the information processing system of the present disclosure, the second
input information may be information indicating a non-detected lesion that is not included in
the execution result and in the first input information.
[0019] Further, in the information processing system of the present disclosure, the processor of
the fourth information processing device may be configured to perform control to display the
first input information in addition to the medical image and the second input information.
[0020] Further, in the information processing system of the present disclosure, there may be a
plurality of the medical images to be diagnosed, and the processors of the second information
processing device, of the third information processing device, and of the fourth information
processing device may be configured to perform, in a case where the execution result includes
information indicating one or more lesions, control to display the medical image in a state in
which the number of medical images is reduced, when displaying the medical image to be
diagnosed.
[0021] In addition, according to the present disclosure, there is provided an information
processing method using an information processing system including a first information
processing device for diagnosis of a medical image performed by a computer, a second
information processing device for an imaging technician who captures the medical image, a
third information processing device for an image interpreter who interprets the medical image,
and a fourth information processing device for a diagnostician who performs a comprehensive
diagnosis of a patient, the information processing method comprising: causing a processor
provided in the first information processing device to acquire a medical image to be diagnosed,
execute lesion detection processing on the acquired medical image, and transmit an execution
result of the lesion detection processing; causing a processor provided in the second
information processing device to perform control to display the medical image and the
execution result, receive first input information of the imaging technician for the execution
result, and transmit the first input information; causing a processor provided in the third
information processing device to perform control to display the medical image, the execution
result, and the first input information, receive second input information of the image
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interpreter for the execution result, and transmit the second input information; and causing a
processor provided in the fourth information processing device to perform control to display
the medical image, the execution result, and the second input information, receive a
comprehensive diagnosis result of the diagnostician, and store the diagnosis result.
[0022] Further, according to the present disclosure, there is provided an information
processing program in an information processing system including a first information
processing device for diagnosis of a medical image performed by a computer, a second
information processing device for an imaging technician who captures the medical image, a
third information processing device for an image interpreter who interprets the medical image,
and a fourth information processing device for a diagnostician who performs a comprehensive
diagnosis of a patient, the information processing program causing a processor provided in the
first information processing device to execute processing of: acquiring a medical image to be
diagnosed; executing lesion detection processing on the acquired medical image; and
transmitting an execution result of the lesion detection processing, causing a processor
provided in the second information processing device to execute processing of: performing
control to display the medical image and the execution result; receiving first input information
of the imaging technician for the execution result; and transmitting the first input information,
causing a processor provided in the third information processing device to execute processing
of: performing control to display the medical image, the execution result, and the first input
information; receiving second input information of the image interpreter for the execution
result; and transmitting the second input information, and causing a processor provided in a
processor of the fourth information processing device to execute processing of: performing
control to display the medical image, the execution result, and the second input information;
receiving a comprehensive diagnosis result of the diagnostician; and storing the diagnosis
result.
Effects of Invention
[0023] According to the present disclosure, it is possible to improve the efficiency of diagnosis
using a CAD result performed by three parties, that is, an imaging technician, an image
interpreter, and a diagnostician.
BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Fig. 1 is a block diagram showing an example of a configuration of an information
processing system.
Fig. 2 is a block diagram showing an example of a hardware configuration of an
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information processing device.
Fig. 3 is a block diagram showing an example of a functional configuration of a first
information processing device.
Fig. 4 is a block diagram showing an example of a functional configuration of a
second information processing device.
Fig. 5 is a diagram showing an example of a display screen of the second information
processing device.
Fig. 6 is a block diagram showing an example of a functional configuration of a third
information processing device.
Fig. 7 is a diagram showing an example of a display screen of the third information
processing device.
Fig. 8 is a block diagram showing an example of a functional configuration of a
fourth information processing device.
Fig. 9 is a diagram showing an example of a display screen of the fourth information
processing device.
Fig. 10 is a flowchart showing an example of a first diagnosis support processing.
Fig. 11 is a flowchart showing an example of a second diagnosis support processing.
Fig. 12 is a flowchart showing an example of a third diagnosis support processing.
Fig. 13 is a flowchart showing an example of a fourth diagnosis support processing.
Fig. 14 is a diagram showing an example of a display screen of a second information
processing device according to a modification example.
DESCRIPTION OF EMBODIMENTS
[0025] Hereinafter, an example of an embodiment of the technology of the present disclosure
will be described in detail with reference to the drawings.
[0026] First, a configuration of an information processing system 10 according to the present
embodiment will be described with reference to Fig. 1. As shown in Fig. 1, the information
processing system 10 includes an information processing device 11, an information processing
device 12, an information processing device 13, an information processing device 14, an
image storage system 15, and a shared server 16. The information processing device 11, the
information processing device 12, the information processing device 14, the image storage
system 15, and the shared server 16 are installed in a facility called an Artificial Intelligence
(AI) center, which mainly performs diagnosis of medical images through a computer. The
information processing device 13 is installed in a facility called an image center, which mainly
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interprets medical images. The information processing device 11, the information processing
device 12, the information processing device 13, the information processing device 14, the
image storage system 15, and the shared server 16 are each connected to a network and can
communicate with each other.
[0027] The information processing device 11 is a first information processing device for
diagnosis of a medical image performed by a computer, such as CAD. The information
processing device 12 is a second information processing device for an imaging technician who
captures the medical image, such as a radiographer. The information processing device 13 is
a third information processing device for an image interpreter who interprets the medical
image, such as an image interpretation doctor. The information processing device 14 is a
fourth information processing device for a diagnostician who performs a comprehensive
diagnosis of a patient, such as a general diagnostician. Examples of the information
processing devices 11 to 14 include a computer, such as a personal computer or a server
computer.