JPWO2021222771A5 - - Google Patents

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JPWO2021222771A5
JPWO2021222771A5 JP2022566201A JP2022566201A JPWO2021222771A5 JP WO2021222771 A5 JPWO2021222771 A5 JP WO2021222771A5 JP 2022566201 A JP2022566201 A JP 2022566201A JP 2022566201 A JP2022566201 A JP 2022566201A JP WO2021222771 A5 JPWO2021222771 A5 JP WO2021222771A5
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patient
fluid injection
experience
probability
risk prediction
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Priority claimed from PCT/US2021/030210 external-priority patent/WO2021222771A1/en
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システムであって、
少なくとも1つのプロセッサを備え、前記プロセッサは、
患者に関連する患者データを取得することと、
前記患者データに基づいて、前記患者に施される流体注入に関連する前記患者の初期リスク予測を決定することであって、前記初期リスク予測は、前記患者が前記流体注入に応答して少なくとも1つの有害事象を経験する確率を含み、前記初期リスク予測が、前記患者が血管外漏出を経験する確率、前記患者が造影後急性腎傷害を経験する確率、前記患者が急性有害事象を経験する確率、前記患者が造影剤誘発腎毒性を経験する確率、および前記患者が甲状腺中毒症を経験する確率を含むように、前記少なくとも1つの有害事象は、前記血管外漏出、前記造影後急性腎傷害、前記急性有害事象、前記造影剤誘発腎毒性、および前記甲状腺中毒症の有害事象を含む、決定することと、
前記流体注入が前記患者に施される前に、前記初期リスク予測をユーザデバイスに提供することであって、前記初期リスク予測は、前記流体注入の前に患者に薬剤を投与するためのプロンプト、前記流体注入のための注入プロトコルを調整するためのプロンプト、撮像スキャンのための撮像プロトコルを調整するためのプロンプト、前記流体注入の前に患者を準備するためのプロンプト、前記流体注入の後に前記患者を観察および/もしくはフォローアップするためのプロンプト、またはそれらの任意の組み合わせのうちの少なくとも1つをさらに含む、提供することと、
前記患者に関連するセンサデータであって、前記流体注入が開始された後に決定された、センサデータを取得することと、
前記流体注入が開始された後に決定された前記センサデータに基づいて、前記流体注入に関連する前記患者の現在のリスク予測を決定することであって、前記現在のリスク予測は、前記患者が前記流体注入に応答して前記少なくとも1つの有害事象を経験する確率を含む、決定することと、
前記現在のリスク予測を前記ユーザデバイスに提供することと、
を行うようにプログラムおよび/または構成されている、システム。
1. A system comprising:
At least one processor, the processor comprising:
Obtaining patient data associated with a patient;
determining an initial risk prediction for the patient associated with a fluid injection administered to the patient based on the patient data, the initial risk prediction comprising a probability that the patient will experience at least one adverse event in response to the fluid injection, the at least one adverse event comprising the extravasation, the post-contrast acute kidney injury, the acute adverse event, the contrast induced nephrotoxicity, and the thyrotoxicosis adverse event, such that the initial risk prediction comprises a probability that the patient will experience extravasation, a probability that the patient will experience post-contrast acute kidney injury, a probability that the patient will experience an acute adverse event, a probability that the patient will experience contrast induced nephrotoxicity, and a probability that the patient will experience thyrotoxicosis;
providing the initial risk prediction to a user device before the fluid injection is administered to the patient , the initial risk prediction further comprising at least one of a prompt to administer medication to the patient before the fluid injection, a prompt to adjust an injection protocol for the fluid injection, a prompt to adjust an imaging protocol for an imaging scan, a prompt to prepare a patient before the fluid injection, a prompt to observe and/or follow up with the patient after the fluid injection, or any combination thereof;
acquiring sensor data associated with the patient, the sensor data being determined after the fluid injection has been initiated;
determining a current risk prediction for the patient associated with the fluid infusion based on the sensor data determined after the fluid infusion has been initiated, the current risk prediction including a probability that the patient will experience the at least one adverse event in response to the fluid infusion;
providing the current risk prediction to the user device; and
A system programmed and/or configured to:
前記少なくとも1つのプロセッサは、
前記現在のリスク予測に基づいて、(i)前記流体注入を停止する流体注入システム、および(ii)撮像動作のタイミングを調整する撮像システムのうちの少なくとも1つを自動的に制御すること
を行うようにさらにプログラムおよび/または構成されている、請求項1に記載のシステム。
The at least one processor:
13. The system of claim 1, further programmed and/or configured to automatically control at least one of: (i) a fluid injection system to stop the fluid injection; and (ii) an imaging system to adjust timing of imaging operations based on the current risk prediction.
前記患者データは、前記患者に関連する以下のパラメータ、すなわち、年齢、性別、体重、以前の化学療法状態、推定糸球体濾過量(eGFR)、甲状腺刺激ホルモン(TSH)レベル、トリヨードサイロニン(FT3)チロキシン(FT4)比(FT3/FT4)、環境影響のレベル、以前の流体注入状態に対する事前反応、アトピー性疾患状態、糖尿病および高血圧のうちの少なくとも1つに関連する医療状態、鬱血性心不全状態、ヘマトクリットレベル、腎不全状態、悪性腫瘍状態、中心静脈アクセス状態のための埋込デバイス、薬剤の種類、前記流体注入において投与される流体媒体の種類、流体注入に関連する注入プロトコル、画像検査の種類、前記流体注入に関連する流速、前記流体注入に関連するカテーテルゲージ、前記流体注入に関連する流体の総体積、前記流体注入に関連する圧力曲線、流体注入に関連する圧力限界曲線、前記流体注入に関連する注入部位場所、またはそれらの任意の組み合わせのうちの少なくとも1つを含む、請求項1に記載のシステム。 The system of claim 1, wherein the patient data includes at least one of the following parameters associated with the patient: age, sex, weight, previous chemotherapy status, estimated glomerular filtration rate (eGFR), thyroid stimulating hormone (TSH) level, triiodothyronine (FT3) thyroxine (FT4) ratio (FT3/FT4), level of environmental influence, prior response to previous fluid infusion status, atopic disease status, medical status associated with at least one of diabetes and hypertension, congestive heart failure status, hematocrit level, renal failure status, malignancy status, implanted device for central venous access status, type of medication, type of fluid medium administered in the fluid infusion, infusion protocol associated with the fluid infusion, type of imaging test, flow rate associated with the fluid infusion, catheter gauge associated with the fluid infusion, total volume of fluid associated with the fluid infusion, pressure curve associated with the fluid infusion, pressure limit curve associated with the fluid infusion, infusion site location associated with the fluid infusion, or any combination thereof. 前記センサデータは、前記患者に関連する以下のパラメータ、すなわち、心拍数、音もしくは振動、温度、酸素飽和度、心電図(ECG)、体脂肪/水分比、組織インピーダンス、血管分布レベル、血管径、水和レベル、ヘマトクリットレベル、皮膚抵抗率、血圧、筋張力レベル、光吸収率レベル、運動レベル、腕の位置、腕の周囲、呼吸数、放射線吸収量、筋電図(EMG)、皮膚の色、表面血管拡張量、生体インピーダンス、光吸収率、ヘモグロビンレベル、炎症レベル、前記患者の周囲の環境の環境温度、前記患者の周囲の前記環境の気圧、周囲光レベル、周囲音レベル、またはそれらの任意の組み合わせのうちの少なくとも1つを含む、請求項1に記載のシステム。 2. The system of claim 1, wherein the sensor data includes at least one of the following parameters associated with the patient: heart rate, sound or vibration, temperature, oxygen saturation, electrocardiogram ( ECG ) , body fat/water ratio, tissue impedance, vascularity level, vascular diameter, hydration level, hematocrit level, skin resistivity, blood pressure, muscle tension level, light absorptance level, exercise level, arm position, arm circumference, respiratory rate, radiation absorption, electromyogram ( EMG ) , skin color, surface vasodilation, bioimpedance, light absorptance, hemoglobin level, inflammation level, ambient temperature of an environment surrounding the patient, air pressure of the environment surrounding the patient, ambient light level, ambient sound level, or any combination thereof. 前記流体注入が開始された後に、前記患者に関連する前記センサデータを決定するように構成された少なくとも1つのセンサ
をさらに備える、請求項1に記載のシステム。
The system of claim 1 , further comprising: at least one sensor configured to determine the sensor data associated with the patient after the fluid injection is initiated.
前記少なくとも1つのセンサは、
前記流体注入後に前記センサデータを決定するようにさらに構成され、
前記少なくとも1つのプロセッサは、
前記流体注入後に決定された前記センサデータに基づいて、前記現在のリスク予測を決定することと、
前記流体注入後に、前記現在のリスク予測を前記ユーザデバイスに提供することと、
を行うようにさらにプログラムおよび/または構成されている、請求項5に記載のシステム。
The at least one sensor includes:
further configured to determine the sensor data after the fluid injection;
The at least one processor:
determining the current risk prediction based on the sensor data determined after the fluid injection;
providing the current risk prediction to the user device after the fluid injection;
The system of claim 5 , further programmed and/or configured to:
前記少なくとも1つの有害事象は、前記血管外漏出を含み、前記少なくとも1つのプロセッサは、前記患者が前記血管外漏出を経験していると判定したことに応答して、流体注入システムを自動的に制御して前記流体注入を停止することによって前記現在のリスク予測を提供するようにさらにプログラムおよび/または構成されている、請求項5に記載のシステム。 The system of claim 5, wherein the at least one adverse event includes an extravasation , and the at least one processor is further programmed and/or configured to provide the current risk prediction by automatically controlling a fluid injection system to stop the fluid injection in response to determining that the patient is experiencing the extravasation. 前記少なくとも1つのセンサは、以下のセンサ、すなわち、画像捕捉デバイス;加速度計;歪みゲージ;全地球測位システム(GPS);皮膚抵抗率またはコンダクタンスセンサ;心拍数モニタ;マイクロフォン;熱センサまたは温度センサ;パルスオキシメータ;水和センサ;線量計;超音波センサ;音響センサ;組織インピーダンス、筋電図(EMG)、および心電図(ECG)のうちの少なくとも1つを測定するように構成された1または複数の電極;マイクロ波センサ;機械インピーダンスセンサ;化学センサ;力センサまたは圧力センサ;あるいはそれらの任意の組み合わせのうちの少なくとも1つを含む、請求項5に記載のシステム。 6. The system of claim 5, wherein the at least one sensor includes at least one of the following sensors: an image capture device; an accelerometer; a strain gauge; a global positioning system (GPS); a skin resistivity or conductance sensor; a heart rate monitor; a microphone; a thermal or temperature sensor; a pulse oximeter; a hydration sensor; a dosimeter; an ultrasonic sensor; an acoustic sensor; one or more electrodes configured to measure at least one of tissue impedance, an electromyogram (EMG), and an electrocardiogram (ECG); a microwave sensor; a mechanical impedance sensor; a chemical sensor; a force or pressure sensor; or any combination thereof. システムであって、
患者に関連する流体注入が開始される前に、前記患者に関連するセンサデータを決定するように構成された少なくとも1つのセンサと、
少なくとも1つのプロセッサであって、
前記患者に関連する患者データを取得することと、
前記患者データおよび前記センサデータに基づいて、前記患者に施される流体注入に関連する前記患者の初期リスク予測を決定することであって、前記初期リスク予測は、前記患者が前記流体注入に応答して少なくとも1つの有害事象を経験する確率を含み、前記初期リスク予測が、前記患者が血管外漏出を経験する確率、前記患者が造影後急性腎傷害を経験する確率、前記患者が急性有害事象を経験する確率、前記患者が造影剤誘発腎毒性を経験する確率、および前記患者が甲状腺中毒症を経験する確率を含むように、前記少なくとも1つの有害事象は、前記血管外漏出、前記造影後急性腎傷害、前記急性有害事象、前記造影剤誘発腎毒性、および前記甲状腺中毒症の有害事象を含む、決定することと、
前記流体注入が前記患者に施される前に、前記初期リスク予測をユーザデバイスに提供することであって、前記初期リスク予測は、前記流体注入の前に患者に薬剤を投与するためのプロンプト、前記流体注入のための注入プロトコルを調整するためのプロンプト、撮像スキャンのための撮像プロトコルを調整するためのプロンプト、前記流体注入の前に患者を準備するためのプロンプト、前記流体注入の後に前記患者を観察および/もしくはフォローアップするためのプロンプト、またはそれらの任意の組み合わせのうちの少なくとも1つをさらに含む、提供することと、
を行うようにプログラムおよび/または構成された、少なくとも1つのプロセッサと、
を備える、システム。
1. A system comprising:
at least one sensor configured to determine sensor data associated with a patient before a fluid infusion associated with the patient is initiated;
at least one processor,
obtaining patient data associated with the patient;
determining an initial risk prediction for the patient associated with a fluid injection administered to the patient based on the patient data and the sensor data, the initial risk prediction including a probability that the patient will experience at least one adverse event in response to the fluid injection, the at least one adverse event including the extravasation, the post-contrast acute kidney injury, the acute adverse event, the contrast induced nephrotoxicity, and the thyrotoxicosis adverse event, such that the initial risk prediction includes a probability that the patient will experience extravasation, a probability that the patient will experience post-contrast acute kidney injury, a probability that the patient will experience an acute adverse event, a probability that the patient will experience contrast induced nephrotoxicity, and a probability that the patient will experience thyrotoxicosis;
providing the initial risk prediction to a user device before the fluid injection is administered to the patient , the initial risk prediction further comprising at least one of a prompt to administer medication to the patient before the fluid injection, a prompt to adjust an injection protocol for the fluid injection, a prompt to adjust an imaging protocol for an imaging scan, a prompt to prepare a patient before the fluid injection, a prompt to observe and/or follow up with the patient after the fluid injection, or any combination thereof;
At least one processor programmed and/or configured to:
A system comprising:
システムであって、
患者に関連する流体注入が開始された後に、前記患者に関連するセンサデータを決定するように構成された少なくとも1つのセンサと、
少なくとも1つのプロセッサであって、
前記流体注入が開始された後に決定された前記センサデータに基づいて、前記流体注入に関連する前記患者の現在のリスク予測を決定することであって、前記現在のリスク予測は、前記患者が前記流体注入に応答して少なくとも1つの有害事象を経験する確率を含み、前記現在のリスク予測が、前記患者が血管外漏出を経験する確率、前記患者が造影後急性腎傷害を経験する確率、前記患者が急性有害事象を経験する確率、前記患者が造影剤誘発腎毒性を経験する確率、および前記患者が甲状腺中毒症を経験する確率を含むように、前記少なくとも1つの有害事象は、前記血管外漏出、前記造影後急性腎傷害、前記急性有害事象、前記造影剤誘発腎毒性、および前記甲状腺中毒症の有害事象を含む、決定することと、
前記現在のリスク予測をユーザデバイスに提供することと、
を行うようにプログラムおよび/または構成された、少なくとも1つのプロセッサと、
を備え
前記少なくとも1つのプロセッサが、前記患者が前記血管外漏出を経験するとの決定に応答して、流体注入システムが前記流体注入を停止するように自動的に制御することにより、前記現在のリスク予測を提供するようにさらにプログラムおよび/または構成されている、システム。
1. A system comprising:
at least one sensor configured to determine sensor data associated with a patient after a fluid infusion associated with the patient has been initiated;
at least one processor,
determining a current risk prediction for the patient associated with the fluid injection based on the sensor data determined after the fluid injection has been initiated, the current risk prediction including a probability that the patient will experience at least one adverse event in response to the fluid injection, the at least one adverse event including the extravasation, the post-contrast acute kidney injury, the acute adverse event, the contrast induced nephrotoxicity, and the thyrotoxicosis adverse event, such that the current risk prediction includes a probability that the patient will experience extravasation, a probability that the patient will experience post-contrast acute kidney injury, a probability that the patient will experience an acute adverse event, a probability that the patient will experience contrast induced nephrotoxicity, and a probability that the patient will experience thyrotoxicosis;
providing the current risk prediction to a user device; and
At least one processor programmed and/or configured to:
Equipped with
The system, wherein the at least one processor is further programmed and/or configured to provide the current risk prediction by automatically controlling a fluid injection system to stop the fluid injection in response to a determination that the patient will experience the extravasation.
システムであって、
少なくとも1つのプロセッサを備え、前記プロセッサは、
患者に関連するセンサデータであって、前記患者に関連する流体注入が開始された後に決定された、センサデータを取得することと、
前記流体注入が開始された後に決定された前記センサデータに基づいて、前記流体注入に関連する前記患者の現在のリスク予測を決定することであって、前記現在のリスク予測は、前記患者が前記流体注入に応答して少なくとも1つの有害事象を経験する確率を含み、前記現在のリスク予測が、前記患者が血管外漏出を経験する確率、前記患者が造影後急性腎傷害を経験する確率、前記患者が急性有害事象を経験する確率、前記患者が造影剤誘発腎毒性を経験する確率、および前記患者が甲状腺中毒症を経験する確率を含むように、前記少なくとも1つの有害事象は、前記血管外漏出、前記造影後急性腎傷害、前記急性有害事象、前記造影剤誘発腎毒性、および前記甲状腺中毒症の有害事象を含む、決定することと、
前記現在のリスク予測をユーザデバイスに提供することと、
前記現在のリスク予測に基づいて、(i)前記流体注入を停止する流体注入システム、および(ii)撮像動作のタイミングを調整する撮像システムのうちの少なくとも1つを自動的に制御することと、
を行うようにプログラムおよび/または構成されている、システム。
1. A system comprising:
At least one processor, the processor comprising:
acquiring sensor data associated with a patient, the sensor data being determined after a fluid infusion associated with the patient has been initiated;
determining a current risk prediction for the patient associated with the fluid injection based on the sensor data determined after the fluid injection has been initiated, the current risk prediction comprising a probability that the patient will experience at least one adverse event in response to the fluid injection, the at least one adverse event comprising the extravasation, the post-contrast acute kidney injury, the acute adverse event, the contrast induced nephrotoxicity, and the thyrotoxicosis adverse event, such that the current risk prediction comprises a probability that the patient will experience extravasation, a probability that the patient will experience post-contrast acute kidney injury, a probability that the patient will experience an acute adverse event, a probability that the patient will experience contrast induced nephrotoxicity, and a probability that the patient will experience thyrotoxicosis;
providing the current risk prediction to a user device; and
automatically controlling at least one of (i) a fluid injection system to stop the fluid injection and (ii) an imaging system to adjust timing of imaging operations based on the current risk prediction;
A system programmed and/or configured to:
システムであって、
少なくとも1つのプロセッサであって
アプリケーションプログラムインターフェース(API)を介して、少なくとも1つのユーザデバイスに、患者に施される流体注入に関連する情報を提供することと、
前記APIを介して、前記少なくとも1つのユーザデバイスから、前記流体注入の前に、前記患者に関連する患者データを受信することであって、前記患者データは、前記流体注入に関連する少なくとも1つの患者嗜好を含み、少なくとも1つの患者データは、流体注入の間に前記患者が少なくとも1つの有害事象を経験する確率を評価するためのリスク予測に使用され、前記リスク予測が、前記患者が血管外漏出を経験する確率、前記患者が造影後急性腎傷害を経験する確率、前記患者が急性有害事象を経験する確率、前記患者が造影剤誘発腎毒性を経験する確率、および前記患者が甲状腺中毒症を経験する確率を含むように、前記少なくとも1つの有害事象は、前記血管外漏出、前記造影後急性腎傷害、前記急性有害事象、前記造影剤誘発腎毒性、および前記甲状腺中毒症の有害事象を含む、受信することと、
を行うようにプログラムおよび/または構成されている少なくとも1つのプロセッサと
流体インジェクタおよび医療用撮像装置のうちの少なくとも1つと
を備え、
前記流体注入の注入プロトコルおよび前記医療用撮像装置の撮像プロトコルのうちの少なくとも1つのパラメータが、前記少なくとも1つの患者データに基づいて調整される、システム。
1. A system comprising:
at least one processor,
providing, via an application program interface (API), to at least one user device, information related to a fluid infusion to be administered to a patient;
receiving, via the API, from the at least one user device, patient data related to the patient prior to the fluid injection, the patient data including at least one patient preference related to the fluid injection, the at least one patient data being used in a risk prediction to assess a probability that the patient will experience at least one adverse event during the fluid injection , the at least one adverse event including the extravasation, the post-contrast acute kidney injury, the acute adverse event, the contrast induced nephrotoxicity, and the thyrotoxicosis adverse event, such that the risk prediction includes a probability that the patient will experience extravasation, a probability that the patient will experience post-contrast acute kidney injury, a probability that the patient will experience an acute adverse event, a probability that the patient will experience contrast induced nephrotoxicity, and a probability that the patient will experience thyrotoxicosis ;
At least one processor programmed and/or configured to :
at least one of a fluid injector and a medical imaging device;
Equipped with
A system , wherein at least one parameter of an injection protocol of the fluid injection and an imaging protocol of the medical imaging device is adjusted based on the at least one patient data.
方法であって、
少なくとも1つのプロセッサを用いて、患者に関連する患者データを取得するステップと、
前記少なくとも1つのプロセッサを用いて、前記患者データに基づいて、前記患者に施される流体注入に関連する前記患者の初期リスク予測を決定するステップであって、前記初期リスク予測は、前記患者が前記流体注入に応答して少なくとも1つの有害事象を経験する確率を含み、前記初期リスク予測が、前記患者が血管外漏出を経験する確率、前記患者が造影後急性腎傷害を経験する確率、前記患者が急性有害事象を経験する確率、前記患者が造影剤誘発腎毒性を経験する確率、および前記患者が甲状腺中毒症を経験する確率を含むように、前記少なくとも1つの有害事象は、前記血管外漏出、前記造影後急性腎傷害、前記急性有害事象、前記造影剤誘発腎毒性、および前記甲状腺中毒症の有害事象を含む、ステップと、
前記少なくとも1つのプロセッサを用いて、前記流体注入が前記患者に施される前に、前記初期リスク予測をユーザデバイスに提供するステップと、
少なくとも1つのセンサを用いて、前記流体注入が開始された後に、前記患者に関連するセンサデータを決定するステップと、
前記少なくとも1つのプロセッサを用いて、前記流体注入が開始された後に決定された前記センサデータに基づいて、前記流体注入に関連する前記患者の現在のリスク予測を決定するステップであって、前記現在のリスク予測は、前記患者が前記流体注入に応答して前記少なくとも1つの有害事象を経験する確率を含む、ステップと、
前記少なくとも1つのプロセッサを用いて、前記現在のリスク予測を前記ユーザデバイスに提供するステップであって、前記初期リスク予測は、前記流体注入の前に患者に薬剤を投与するためのプロンプト、前記流体注入のための注入プロトコルを調整するためのプロンプト、撮像スキャンのための撮像プロトコルを調整するためのプロンプト、前記流体注入の前に患者を準備するためのプロンプト、前記流体注入の後に前記患者を観察および/もしくはフォローアップするためのプロンプト、またはそれらの任意の組み合わせのうちの少なくとも1つをさらに含む、ステップと、
を含む、方法。
1. A method comprising:
acquiring, with at least one processor, patient data associated with the patient;
determining with the at least one processor an initial risk prediction for the patient associated with a fluid injection administered to the patient based on the patient data, the initial risk prediction including a probability that the patient will experience at least one adverse event in response to the fluid injection, the at least one adverse event including the extravasation, the post-contrast acute kidney injury, the acute adverse event, the contrast induced nephrotoxicity, and the thyrotoxicosis adverse event, such that the initial risk prediction includes a probability that the patient will experience extravasation, a probability that the patient will experience post-contrast acute kidney injury, a probability that the patient will experience an acute adverse event, a probability that the patient will experience contrast induced nephrotoxicity, and a probability that the patient will experience thyrotoxicosis;
providing, with the at least one processor, the initial risk prediction to a user device before the fluid injection is administered to the patient;
determining, using at least one sensor, sensor data associated with the patient after the fluid injection is initiated;
determining, with the at least one processor, a current risk prediction for the patient associated with the fluid infusion based on the sensor data determined after the fluid infusion has been initiated, the current risk prediction comprising a probability that the patient will experience the at least one adverse event in response to the fluid infusion;
providing, with the at least one processor, the current risk prediction to the user device, wherein the initial risk prediction further includes at least one of a prompt to administer medication to a patient prior to the fluid injection, a prompt to adjust an injection protocol for the fluid injection, a prompt to adjust an imaging protocol for an imaging scan, a prompt to prepare a patient prior to the fluid injection, a prompt to observe and/or follow up with the patient after the fluid injection, or any combination thereof;
A method comprising:
前記患者データは、前記患者に関連する以下のパラメータ、すなわち、年齢、性別、体重、以前の化学療法状態、推定糸球体濾過量(eGFR)、甲状腺刺激ホルモン(TSH)レベル、トリヨードサイロニン(FT3)チロキシン(FT4)比(FT3/FT4)、環境影響のレベル、以前の流体注入状態に対する事前反応、アトピー性疾患状態、糖尿病および高血圧のうちの少なくとも1つに関連する医療状態、鬱血性心不全状態、ヘマトクリットレベル、腎不全状態、悪性腫瘍状態、中心静脈アクセス状態のための埋込デバイス、薬剤の種類、前記流体注入において投与される流体媒体の種類、前記流体注入の種類、画像検査の種類、前記流体注入に関連する流速、前記流体注入に関連するカテーテルゲージ、前記流体注入に関連する流体の総体積、前記流体注入に関連する圧力曲線、前記流体注入に関連する注入部位場所、またはそれらの任意の組み合わせのうちの少なくとも1つを含む、請求項13に記載の方法。 14. The method of claim 13, wherein the patient data comprises at least one of the following parameters associated with the patient: age, sex, weight, previous chemotherapy status, estimated glomerular filtration rate (eGFR), thyroid stimulating hormone (TSH) level, triiodothyronine (FT3) thyroxine (FT4) ratio (FT3/FT4), level of environmental influence, prior response to previous fluid infusion status, atopic disease status, medical status associated with at least one of diabetes and hypertension, congestive heart failure status, hematocrit level, renal failure status, malignancy status, implanted device for central venous access status, type of medication, type of fluid medium administered in the fluid infusion, type of the fluid infusion, type of imaging test, flow rate associated with the fluid infusion, catheter gauge associated with the fluid infusion, total volume of fluid associated with the fluid infusion, pressure curve associated with the fluid infusion, infusion site location associated with the fluid infusion, or any combination thereof. 前記少なくとも1つの有害事象は、血管外漏出、造影後急性腎傷害、急性有害事象、造影剤誘発腎毒性、甲状腺中毒症、またはそれらの任意の組み合わせの有害事象のうちの少なくとも1つを含む、請求項13に記載の方法。 14. The method of claim 13, wherein the at least one adverse event comprises at least one of the following adverse events: extravasation, post-contrast acute kidney injury, an acute adverse event, contrast-induced nephrotoxicity, thyrotoxicosis, or any combination thereof. 前記センサデータは、前記患者に関連する以下のパラメータ、すなわち、心拍数、音もしくは振動、温度、酸素飽和度、心電図(ECG)、体脂肪/水分比、組織インピーダンス、血管分布レベル、血管径、水和レベル、ヘマトクリットレベル、皮膚抵抗率、血圧、筋張力レベル、光吸収率レベル、運動レベル、腕の位置、腕の周囲、呼吸数、放射線吸収量、筋電図(EMG)、皮膚の色、表面血管拡張量、生体インピーダンス、光吸収率、ヘモグロビンレベル、炎症レベル、前記患者の周囲の環境の環境温度、前記患者の周囲の環境の気圧、周囲光レベル、周囲音レベル、またはそれらの任意の組み合わせのうちの少なくとも1つを含む、請求項13に記載の方法。 14. The method of claim 13, wherein the sensor data includes at least one of the following parameters associated with the patient: heart rate, sound or vibration, temperature, oxygen saturation, electrocardiogram ( ECG ) , body fat/water ratio, tissue impedance, vascularity level, vascular diameter, hydration level, hematocrit level, skin resistivity, blood pressure, muscle tension level, light absorptance level, exercise level, arm position, arm circumference, respiratory rate, radiation absorption, electromyogram ( EMG ) , skin color, surface vasodilation, bioimpedance, light absorptance, hemoglobin level, inflammation level, ambient temperature of an environment surrounding the patient, air pressure of an environment surrounding the patient, ambient light level, ambient sound level, or any combination thereof. 前記少なくとも1つのセンサを用いて、前記流体注入の間に前記センサデータを決定するステップと、
前記少なくとも1つのプロセッサを用いて、前記流体注入の間に決定された前記センサデータに基づいて、前記流体注入に関連する前記患者の前記現在のリスク予測を決定するステップと、
前記流体注入の間に、前記現在のリスク予測を前記ユーザデバイスに提供するステップと、
をさらに含む、請求項13に記載の方法。
determining said sensor data during said fluid injection using said at least one sensor;
determining, with the at least one processor, the current risk prediction for the patient associated with the fluid injection based on the sensor data determined during the fluid injection;
providing the current risk prediction to the user device during the fluid injection;
14. The method of claim 13 , further comprising:
前記少なくとも1つのセンサを用いて、前記流体注入の後に前記センサデータを決定するステップと、
前記少なくとも1つのプロセッサを用いて、前記流体注入の後に決定された前記センサデータに基づいて、前記流体注入に関連する前記患者の前記現在のリスク予測を決定するステップと、
前記流体注入の後に、前記現在のリスク予測を前記ユーザデバイスに提供するステップと、
をさらに含む、請求項13に記載の方法。
determining said sensor data after said fluid injection using said at least one sensor;
determining, with the at least one processor, the current risk prediction for the patient associated with the fluid injection based on the sensor data determined after the fluid injection;
providing the current risk prediction to the user device after the fluid injection;
14. The method of claim 13 , further comprising:
前記少なくとも1つの有害事象は、血管外漏出を含み、前記現在のリスク予測を提供するステップは、前記患者が前記血管外漏出を経験していると判定したことに応答して、前記少なくとも1つのプロセッサを用いて、流体注入システムを自動的に制御して前記流体注入を停止するステップをさらに含む、請求項13に記載の方法。 14. The method of claim 13, wherein the at least one adverse event includes an extravasation, and wherein providing the current risk prediction further includes, in response to determining that the patient is experiencing the extravasation, automatically controlling, using the at least one processor, a fluid injection system to stop the fluid injection. 前記少なくとも1つのセンサは、以下のセンサ、すなわち、画像捕捉デバイス;加速度計;歪みゲージ;全地球測位システム(GPS);皮膚抵抗率またはコンダクタンスセンサ;心拍数モニタ;マイクロフォン;熱センサまたは温度センサ;パルスオキシメータ;水和センサ;線量計;超音波センサ;音響センサ;組織インピーダンス、筋電図(EMG)、および心電図(ECG)のうちの少なくとも1つを測定するように構成された1または複数の電極;マイクロ波センサ;機械インピーダンスセンサ;化学センサ;力センサまたは圧力センサ;あるいはそれらの任意の組み合わせのうちの少なくとも1つを含む、請求項13に記載の方法。 14. The method of claim 13, wherein the at least one sensor includes at least one of the following sensors: an image capture device; an accelerometer; a strain gauge; a global positioning system (GPS); a skin resistivity or conductance sensor; a heart rate monitor; a microphone; a thermal or temperature sensor; a pulse oximeter; a hydration sensor; a dosimeter; an ultrasonic sensor; an acoustic sensor; one or more electrodes configured to measure at least one of tissue impedance, an electromyogram (EMG), and an electrocardiogram (ECG); a microwave sensor; a mechanical impedance sensor; a chemical sensor; a force or pressure sensor; or any combination thereof. 前記少なくとも1つのプロセッサを用いて、前記現在のリスク予測に基づいて、(i)前記流体注入を停止する流体注入システム、および(ii)撮像動作のタイミングを調整する撮像システムのうちの少なくとも1つを自動的に制御するステップ
をさらに含む、請求項13に記載の方法。
14. The method of claim 13, further comprising: automatically controlling, with the at least one processor, at least one of: (i) a fluid injection system to stop the fluid injection; and (ii) an imaging system to adjust timing of imaging operations based on the current risk prediction.
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