Diagnostic imaging system for deep endometriosis and / or adenomyosis and method for analysing imaging examinations

Abstract

The present invention relates to an integrated diagnostic system for deep endometriosis and / or adenomyosis, comprising three interconnected platforms and a method for analysing images generated by algorithms. The first platform combines patient medical history data with transvaginal ultrasound and / or pelvic magnetic resonance images, using algorithms to generate clear and detailed images of lesions. The method for analysing these images includes pre-processing, merging of clinical data and images, lesion identification, and comparison with a clinical database, resulting in a visual and descriptive analysis of the lesions, facilitating early and assertive diagnosis. The second platform is a communication network among specialist physicians, who perform a second reading of the images and issue a validated final report. The third platform is educational, offering personalised training and mentoring for imaging physicians using the images generated by the first platform to improve their diagnostic skills. The system reduces diagnostic time, increases accuracy, and contributes to the continuous professional development of physicians involved in the management of deep endometriosis and / or adenomyosis.

Description

Diagnostic Imaging System for Deep Endometriosis and / or Adenomyosis and Method for Analyzing Imaging Exams Field of invention

[0001] The present invention is in the field of medical diagnostic imaging. State of the art

[0002] Diagnostic imaging plays a fundamental role in the context of complex diseases such as deep endometriosis and / or adenomyosis (DE). Transvaginal ultrasound and pelvic magnetic resonance imaging are widely used to identify lesions, allowing physicians to assess the extent and location of the disease with greater accuracy, providing mapping of all lesions, which is essential in monitoring the progression and / or preoperative management, leading to better treatment and thus ensuring a better quality of life for affected women. The evolution of these technologies has allowed for the acquisition of increasingly detailed and high-resolution images, which is crucial for early and accurate diagnosis, the definition of therapeutic plans, and the monitoring of diseases over time.However, despite advances in imaging techniques, significant challenges remain in diagnosing deep endometriosis and / or adenomyosis, as they heavily depend on the expertise of the professionals who perform and interpret the tests.

[0003] Endometriosis is a disorder in which the cells of the tissue lining the uterine cavity (endometrium), instead of being expelled during menstruation, move in the opposite direction, through the fallopian tubes, and fall into the ovaries or abdominal cavity, where they multiply and bleed again. It is a particularly aggressive form of the disease, where the lesions penetrate below the peritoneal surface, often involving organs such as the intestines, bladder, and ureters. Adenomyosis occurs when the endometrium (tissue lining the uterine cavity) invades the muscular wall of the uterus (myometrium), where it also multiplies and bleeds again. The two diseases are commonly associated.

[0004] In Brazil, it affects approximately 7 million women of reproductive age (from adolescence to menopause), and it is estimated that more than 60% of women are unaware of the disease's symptoms. Diagnosis can take 8 to 12 years, considering patients who seek healthcare services for investigation and treatment. This delay in diagnosis is also due to the fact that the disease presents a wide spectrum of signs and symptoms, ranging from asymptomatic cases (40% of patients) to situations where the patient loses kidney function, requiring a transplant to live without dialysis. The most common symptoms are abdominal and pelvic cramping pain (menstrual or otherwise), pain during sexual intercourse, pain during bowel movements or urination, and abnormal uterine bleeding. Within this variety of symptoms, the disease is associated with infertility and miscarriages.

[0005] The debilitating symptoms of PE significantly impact patients' quality of life, leading to absenteeism from work, limitations in daily activities, and an increased risk of depression and anxiety. One of the biggest challenges faced by patients is the prolonged time it takes to obtain a definitive diagnosis, which can take years. During this period, women often experience chronic pain and other debilitating symptoms without adequate treatment, further exacerbating the negative impact on their quality of life.

[0006] Furthermore, delays in diagnosis can also result in disease progression, making treatment more complex and less effective. Early and accurate identification of PE lesions is crucial for proper disease management and improved clinical outcomes.

[0007] Currently, diagnosing PE is a significant clinical challenge. Videolaparoscopy, considered the gold standard for diagnosis, is an invasive procedure that requires general anesthesia and is associated with surgical risks.

[0008] However, for choosing a treatment strategy, ultrasound mapping is essential, as it allows the doctor to determine whether or not the disease affects target organs, whether surgery is indicated, and, in positive cases, the surgeon can schedule the surgical time, the professional team, the surgical materials, and discuss hospital discharge, among other things. It is important to highlight that improvements in image accuracy have made diagnostic videolaparoscopies obsolete.

[0009] Clear and detailed images of the lesions are essential for doctors to accurately identify endometriosis. Correct mapping of the lesions allows healthcare professionals to determine the extent of the disease, plan appropriate surgical interventions, and monitor the progression of endometriosis over time. High-quality images help identify the depth and location of the lesions, facilitating the selection of the most effective and personalized treatment for each patient.

[0010] The current state of the art includes several imaging approaches for the detection of PE. Transvaginal ultrasound with bowel preparation has shown high efficacy in identifying bowel lesions, while pelvic magnetic resonance imaging offers an anatomical view of pelvic structures. However, these techniques depend strongly depends on the experience of the medical professional who performs and interprets the images.

[0011] Currently, physician experience is crucial in diagnosing PE. Lack of experience can lead to incorrect or delayed diagnoses, resulting in prolonged suffering for patients and potential additional complications. Physicians gain experience as they perform more diagnoses and procedures, honing their skills in identifying subtle lesions and planning effective treatments. Ongoing training and clinical practice are essential to ensure accurate diagnoses and appropriate management of the disease.

[0012] Thus, one of the main problems with the current state of the art is the variability in diagnostic accuracy, which can lead to incorrect or delayed diagnoses. Furthermore, the need for multiple imaging exams and invasive procedures increases the cost and expenses associated with exams and / or procedures (private and / or public), comorbidities, and mortality for patients. The disease drastically reduces quality of life. The need for early diagnosis of the disease is crucial in current clinical practice. Objectives of the invention

[0013] The present invention aims to expand and facilitate access to the diagnosis of deep endometriosis and / or adenomyosis, significantly reducing the waiting time for a correct diagnosis.

[0014] A second objective of the present invention is to promote the improvement of the diagnostic capabilities of medical radiologists.

[0015] A third objective of the present invention is to optimize the description and construction of medical reports, increasing the accuracy of communication between professionals involved in patient management. Brief description of the invention

[0016] The present invention discloses an imaging diagnostic system for deep endometriosis and / or adenomyosis comprising three interconnected platforms. The first platform is configured for the fusion of anamnesis data and images from transvaginal ultrasound or pelvic magnetic resonance imaging examinations, using algorithms to generate clear and well-defined composite images of the lesions, facilitating their precise visualization and consequently reducing the time for diagnosis. The second platform is configured as a communication network between specialist physicians, where the images generated by the first platform are standardized and transmitted to a group of experienced physicians for a second reading, with the issuance of a final report within a defined timeframe, allowing validation of the initial diagnosis.And the third educational platform is designed to enhance the skills of medical imaging specialists, offering mentoring and individualized training at different intervals, with the possibility of using the images generated by the first platform to assist in the development of the physicians' diagnostic skills.

[0017] The first platform is configured to apply image pre-processing techniques, including filtering and image quality enhancement, aiming to eliminate noise and optimize the clarity of anatomical structures, before performing the fusion with the anamnesis data.

[0018] In a preferred configuration, the first platform uses algorithms to correlate clinical data from the medical history with anomalies detected in transvaginal ultrasound or pelvic magnetic resonance imaging, generating an image of the lesions.

[0019] The second platform includes a standardized tutorial to guide the examining physician in obtaining the images, ensuring consistency and quality of the images that will be transmitted for the second reading.

[0020] The second platform is configured to allow communication between medical specialists during image review, facilitating collaboration and the exchange of information for diagnostic validation.

[0021] The third platform includes an educational curriculum adaptable to the individual needs of imaging physicians, with the possibility of mentoring sessions and individualized training adjusted according to the student's time availability and level of difficulty.

[0022] The third platform provides continuous feedback and performance evaluations for physicians during training, allowing adjustments to the educational content to maximize learning and diagnostic accuracy.

[0023] The three platforms are interconnected in a way that allows for the continuous flow of data and images between them, ensuring the integration of diagnostic processes, validation, and educational improvement for medical imaging specialists.

[0024] The present invention also discloses a method for analyzing imaging exams that comprises the steps of collecting patient history data and images from transvaginal ultrasound or pelvic magnetic resonance imaging exams in step A, submission The data collected is then sent to a system that uses algorithms to perform image pre-processing in step B; the clinical data from the medical history is combined with the images from the examinations, generating a clear composite image of the lesions in step C; the composite images are analyzed with algorithms that identify, classify, and measure the depth and extent of the lesions, based on anatomical, clinical, and imaging parameters; the results of the analysis are presented to the specialist physician through a visual and descriptive report, containing the location and extent of the lesions, as well as suggestions for clinical management in step D; and the review of the results by specialist physicians is facilitated on the second platform, for validation and issuance of a final report in step E. Brief description of the figures

[0025] Figure 1 shows a flowchart illustrating the operation of the diagnostic imaging system. Detailed description of the invention

[0026] Before the invention is described in detail, it should be understood that it is not limited to the specific component parts of the described apparatus, as such components may vary. It should also be understood that the terminology used herein is only for the purpose of describing particular embodiments and is not intended to be limiting. It should be noted that, as used in the descriptive report and appended claims, the singular forms "a", "an", "the" and "the" include singular and / or plural referents, unless the context clearly indicates otherwise. Furthermore, it should be understood that, in the case of parameter ranges delimited by numerical values ​​being provided, the ranges are considered to include these limiting values.

[0027] It should also be understood that the modalities disclosed here should not be understood as individual modalities that They would not be related to each other. The characteristics discussed with one modality should also be disclosed in connection with other modalities shown here. If, in one case, a specific characteristic is not disclosed with one modality but with another, the person skilled in the art would understand that this does not necessarily mean that the characteristic is not intended to be disclosed with the other modality. The person skilled in the art would understand that the essence of this request is to disclose the characteristic also for the other modality, but that only for the sake of clarity and to keep this descriptive report to a manageable volume, this has not been done.

[0028] The present invention discloses an EP imaging diagnostic system. This system comprises three platforms aimed at supporting the diagnosis of endometriosis and improving the technical skills of the professionals who perform it.

[0029] The first platform covered by the present invention relates to a system that integrates algorithms for the analysis and fusion of clinical and imaging data, preferably for the diagnosis of PE. This platform is composed of data processing modules that receive, organize, and analyze both the information acquired during the patient's medical history and the images generated by transvaginal ultrasound and pelvic magnetic resonance imaging examinations.

[0030] As demonstrated in Figure 1, during step A, the first platform receives detailed data collected during the imaging exam and medical history, including medical history, symptoms reported by the patient, and specific information about the location and intensity of the pain. This data is stored in a structured database, allowing for a thorough and personalized analysis of this data for each patient.

[0031] In stage B, the transvaginal ultrasound and pelvic magnetic resonance imaging (MRI) scans obtained from the examinations undergo a pre-processing process. This process involves applying filtering techniques and improving image quality, aiming to eliminate noise and optimize the clarity of anatomical structures.

[0032] Using algorithms, in step C, the first platform combines clinical data with processed images. The algorithms are programmed to correlate information from the medical history, such as pain location and other symptoms, with anomalies detected in pelvic ultrasound and MRI images, and with pre-programmed pattern images. This correlation allows the platform to create a more detailed and accurate composite image of the lesions, since any alteration in relation to the patterns is highlighted by the algorithm.

[0033] The result of this fusion is the generation of a composite image that highlights the lesions with greater clarity and definition, enabling a clearer diagnosis. The first platform uses rendering techniques to create a visualization of the lesions, facilitating the precise identification of their location, extent, and depth.

[0034] Finally, in stage D, the first platform offers an intuitive visualization interface for physicians, where composite images can be analyzed interactively. The interface allows specialists to visualize lesions, with the possibility of applying filters or focusing on specific areas of interest.

[0035] The fusion of clinical data and clear, detailed lesion images into a single composite view improves diagnostic accuracy, allowing for earlier and more precise detection of PE, and contributes to reducing the time required for diagnosis. This occurs in stage G, avoiding the need for multiple complementary exams. Furthermore, the composite image generated by the first platform provides physicians with a tool that assists in decision-making and determining the best therapeutic approach for each specific case, also offering the possibility of better monitoring of the outcome.

[0036] This first platform, therefore, represents an advance in PE diagnosis, integrating cutting-edge technology to improve both the efficiency and effectiveness of the diagnostic process.

[0037] The second platform in the diagnostic system is dedicated to a second reading of medical images, ensuring a more in-depth analysis and confirmation of the initial diagnosis. This platform is designed to integrate the expertise of a group of specialized physicians, offering an additional layer of verification and validation of the diagnosis.

[0038] The second platform of the diagnostic system is an advanced communication network, designed to facilitate collaboration between specialized physicians, providing a second detailed reading of the images generated by the first platform. This structure ensures that the initial diagnosis is reviewed and validated by a group of specialists, strengthening the accuracy and reliability of the results.

[0039] After the patient's examination, the first platform generates clear and detailed images of possible endometriosis lesions. In step E, these images are made available on the second platform, ready to be reviewed by a group of specialist physicians.

[0040] The second platform acts as an integrated communication network between experienced and specialized physicians in the diagnosis of EP. This network allows images to be shared securely and efficiently, ensuring that all doctors have simultaneous, real-time access to the same information.

[0041] Within the second platform, during stage H, the group's physicians access the available images and begin the second reading process. The network interface facilitates collaboration among specialists, allowing for interactive discussions, case comparisons, and the exchange of insights on the image findings.

[0042] Following the collaborative review of the images, stage I begins, where the specialists arrive at a final diagnosis. The second platform then generates and releases the finalized report, which is made available to the referring physician. This report, enriched by the collective expertise of the group, serves as a robust and well-founded second opinion.

[0043] The second platform ensures that images and reports are shared quickly and securely, facilitating the flow of information between doctors and speeding up the diagnostic process. This communication network promotes collaboration among medical specialists, allowing for improved diagnosis through collective analysis and knowledge sharing, adding a layer of security and accuracy to the diagnosis.

[0044] The third platform in the diagnostic system is an educational platform designed for the continuous improvement of medical radiologists, especially those specializing in transvaginal examinations. This third platform offers a flexible and adaptable learning environment, focusing on developing physicians' diagnostic skills using real images and clinical cases generated by the first platform.

[0045] The third platform offers a structured educational curriculum, adaptable to the individual needs of each physician. Based on an initial assessment of the student's skills and knowledge, the platform personalizes the educational content, focusing on specific areas that require further development.

[0046] After the first platform generates the exam images, these are made available on the educational platform, in step F. These images serve as practical tools for training physicians, allowing them to practice identifying endometriosis lesions in a controlled environment.

[0047] The third platform offers mentoring and training sessions that can be adjusted according to the physician's availability and needs. The mentors, who are experts in the field, can provide real-time guidance, helping physicians overcome specific difficulties and improve their diagnostic skills.

[0048] During training, physicians receive continuous feedback on their performance, with assessments highlighting strengths and areas for improvement. This approach allows learning to be dynamic and tailored to each student's progress.

[0049] Recognizing that physicians have complex schedules, the third platform offers flexibility in terms of time, allowing physicians to participate in training at intervals that fit their needs. This ensures that learning is not compromised by time constraints.

[0050] It should be noted that the drawings presented are not necessarily to scale, being merely conceptual in nature. Nevertheless, it is expressly stipulated that all combinations of elements that perform the same function substantially as... The same method for achieving the same results as the elements now claimed is within the scope of the present invention. Finally, it should be noted that the scope of protection of the present invention covers other possible variations, not being limited solely by the content of the claims alone, including possible equivalents.

Claims

CLAIMS 1) Diagnostic imaging system for deep endometriosis and / or adenomyosis characterized by comprising three interconnected platforms, namely: (a) a first platform configured for combining anamnesis data and images from transvaginal ultrasound and / or pelvic magnetic resonance imaging, using algorithms to generate clear and defined composite images of lesions, facilitating their precise visualization and, consequently, reducing the time for diagnosis; (b) a second platform configured as a communication network between medical specialists, where the images generated by the first platform are standardized and transmitted to a group of experienced physicians for a second reading, with the issuance of a final report within a defined timeframe, allowing validation of the initial diagnosis; and (c) a third educational platform designed to enhance the skills of medical radiologists, offering mentoring and individualized training over different time periods, with the possibility of using the images generated by the first platform to assist in the development of the physicians' diagnostic skills. 2) System, according to claim 1, characterized in that the first platform is configured to apply image pre-processing techniques, including filtering and image quality enhancement, aiming at noise elimination and optimization of the clarity of anatomical structures, before performing the fusion with the anamnesis data. 3) System, according to claim 1 or 2, characterized in that the first platform uses algorithms to correlate clinical data from the medical history with anomalies detected in transvaginal ultrasound and / or pelvic magnetic resonance imaging, generating a composite image of the lesions. 4) System, according to claim 1, characterized in that the second platform includes a standardized tutorial to guide the examining physician in obtaining the images, ensuring consistency and quality of the images that will be transmitted for the second reading. 5) System, according to claim 1 or 4, characterized in that the second platform is configured to allow real-time communication between medical specialists during image review, facilitating collaboration and information exchange for diagnostic validation. 6) System, according to claim 1, characterized in that the third platform includes an educational curriculum adaptable to the individual needs of imaging physicians, with the possibility of mentoring sessions and individualized training adjusted according to the student's time availability and level of difficulty. 7) System, according to claim 1 or 6, characterized in that the third platform provides continuous feedback and performance evaluations of physicians during training, allowing adjustments to the educational content to maximize learning and diagnostic accuracy. 8) System according to claim 1, characterized This is because the three platforms are interconnected in a way that allows for the continuous flow of data and images between them, ensuring the integration of diagnostic processes, validation, and educational improvement for medical imaging specialists. 9) A method for analyzing imaging exams, characterized by comprising the following steps: a) in step A, collecting patient history data and images from transvaginal ultrasound and / or pelvic magnetic resonance imaging exams; b) in step B, submitting the collected data to a system that uses algorithms to perform image preprocessing; c) in step C, combining the clinical data from the history with the exam images, generating a clear composite image of the lesions; d) analyzing the composite images with algorithms that identify, classify, and measure the depth and extent of the lesions, based on anatomical, clinical, and imaging parameters; e) in step D, presenting the analysis results to the specialist physician through a visual and descriptive report, containing the location and extent of the lesions, as well as suggestions for clinical management;ef) to facilitate the review of results by medical specialists, presenting them on the second platform, in step E, for validation and issuance of a final report.

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