MRI In Diagnosis Research Articles

Surgical treatment of meningiomas improves neurocognitive functioning and quality of life – a prospective single-center study

Background and purposeEarly diagnosis and the refinement of treatment of patients with intracranial meningiomas have brought quality of life (QoL) and neurocognitive functioning as outcome measures into focus. The aim of this study is a comprehensive assessment of neurocognitive function, quality of life and the presence of depression in meningioma patients before and after surgery.MethodsPatients with MRI diagnosis of intracranial meningioma and indication for surgery were prospectively included. A clinical neuropsychologist performed neurocognitive assessments within 3 months before and 12 months after surgery. The test battery included investigation of selective and divided attention, verbal and figural memory, executive functioning, and word fluency. Self-report questionnaires to assess depressive symptoms, QoL, and disease coping were administered. Raw values and t-values were compared pre-and postoperatively. Outcome was stratified by tumor- and peritumoral brain edema (PTBE) volumes, postoperative resolution of PTBE and WHO grade. The study included 18 predominantly female patients (83%) with a median age of 59 years and mostly CNS WHO grade 1 meningiomas (83%).ResultsThere was a significant postoperative improvement in the ability to selectively react under stress, in working memory and improved delayed reproduction of verbal and visual memory content. QoL improved regarding a reduction in physical problems, an improvement in energy, and social functioning. There was a trend towards worse preoperative scores in all tests, and greater postoperative improvement in patients with PTBE. Tumor volume had no effect on the measured outcome. The patients did not suffer from depressive symptoms before the surgery but improved postoperatively and most patients had an active, problem-oriented coping strategy.ConclusionResection of intracranial meningiomas leads to an improvement in multiple neurocognitive domains and QoL. There is a trend towards poorer preoperative neurocognitive functioning and greater postoperative improvement in patients with PTBE. Depression appears to play a minor role in the context of neurocognitive functioning and disease coping.

MRI diagnosis of meningioma with marked skeletal hyperostosis and parenchymal infiltration in a 6‐year‐old standard poodle

AbstractA 6‐year‐old, neutered, male standard poodle was presented for evaluation of behaviour change. Neurological examination was consistent with a prosencephalic lesion. A magnetic resonance imaging study of the brain revealed a large non‐uniformly enhancing, extraparenchymal mass (9.2 × 8.7 × 5.0 cm) compressing the underlying brain parenchyma with heterogeneous T2‐weighted, T2‐fluid‐attenuated inversion recovery and T1‐weighted intensities. A meningioma with severe secondary hyperostosis and parenchymal invasion was identified on postmortem histological evaluation. To the authors’ knowledge, the presence of marked hyperostosis and calvarial infiltration to this degree, as well as the magnetic resonance imaging characteristics of these changes, have not previously been described in canine meningioma.

Validating the Accuracy of a Patient-Facing Clinical Decision Support System in Predicting Lumbar Disc Herniation: Diagnostic Accuracy Study.

Low back pain (LBP) is a major cause of disability globally, and the diagnosis of LBP is challenging for clinicians. Using new software called Therapha, this study aimed to assess the accuracy level of artificial intelligence as a Clinical Decision Support System (CDSS) compared to MRI in predicting lumbar disc herniated patients. One hundred low back pain patients aged ≥18 years old were included in the study. The study was conducted in three stages. Firstly, a case series was conducted by matching MRI and Therapha diagnosis for 10 patients. Subsequently, Delphi methodology was employed to establish a clinical consensus. Finally, to determine the accuracy of the newly developed software, a cross-sectional study was undertaken involving 100 patients. The software showed a significant diagnostic accuracy with the area under the curve in the ROC analysis determined as 0.84 with a sensitivity of 88% and a specificity of 80%. The study's findings revealed that CDSS using Therapha has a reasonable level of efficacy, and this can be utilized clinically to acquire a faster and more accurate screening of patients with lumbar disc herniation.

Radiomics features for the discrimination of tuberculomas from high grade gliomas and metastasis: a multimodal study.

Tuberculomas are prevalent in developing countries and demonstrate variable signals on MRI resulting in the overlap of the conventional imaging phenotype with other entities including glioma and brain metastasis. An accurate MRI diagnosis is important for the early institution of anti-tubercular therapy, decreased patient morbidity, mortality, and prevents unnecessary neurosurgical excision. This study aims to assess the potential of radiomics features of regular contrast images including T1W, T2W, T2W FLAIR, T1W post contrast images, and ADC maps, to differentiate between tuberculomas, high-grade-gliomas and metastasis, the commonest intra parenchymal mass lesions encountered in the clinical practice. This retrospective study includes 185 subjects. Images were resampled, co-registered, skull-stripped, and zscore-normalized. Automated lesion segmentation was performed followed by radiomics feature extraction, train-test split, and features reduction. All machine learning algorithms that natively support multiclass classification were trained and assessed on features extracted from individual modalities as well as combined modalities. Model explainability of the best performing model was calculated using the summary plot obtained by SHAP values. Extra tree classifier trained on the features from ADC maps was the best classifier for the discrimination of tuberculoma from high-grade-glioma and metastasis with AUC-score of 0.96, accuracy-score of 0.923, Brier-score of 0.23. This study demonstrates that radiomics features are effective in discriminating between tuberculoma, metastasis, and high-grade-glioma with notable accuracy and AUC scores. Features extracted from the ADC maps surfaced as the most robust predictors of the target variable.

Degloving intramuscular injuries of the semimembranosus and adductor longus muscles in adolescent soccer players.

Degloving muscle injury was described for the rectus femoris where the inner bipennate component is dissociated from its superficial unipennate component. The semimembranosus muscle displays a distinctive dual morphology, featuring both unipennate and bipennate muscle fibers. Nevertheless, this specific tear pattern has not been previously documented. Conversely, the adductor longus muscle showcases an elongated intramuscular tendon segment, indicating a multipennate morphology. We present two separate cases of previous undescribed degloving injuries of the semimembranosus and the adductor longus in teenage soccer players with MRI and ultrasound diagnosis, ultrasound-guided hematoma aspiration, and recovery timelines for return-to-play.

Liver Phantoms Cast in 3D-Printed Mold for Image-Guided Procedures.

Image-guided invasive procedures on the liver require a steep learning curve to acquire the necessary skills. The best and safest way to achieve these skills is through hands-on courses that include simulations and phantoms of different complications, without any risks for patients. There are many liver phantoms on the market made of various materials; however, there are few multimodal liver phantoms, and only two are cast in a 3D-printed mold. We created a virtual liver and 3D-printed mold by segmenting a CT scan. The InVesalius and Autodesk Fusion 360 software packages were used for segmentation and 3D modeling. Using this modular mold, we cast and tested silicone- and gelatin-based liver phantoms with tumor and vascular formations inside. We tested the gelatin liver phantoms for several procedures, including ultrasound diagnosis, elastography, fibroscan, ultrasound-guided biopsy, ultrasound-guided drainage, ultrasound-guided radio-frequency ablation, CT scan diagnosis, CT-ultrasound fusion, CT-guided biopsy, and MRI diagnosis. The phantoms were also used in hands-on ultrasound courses at four international congresses. We evaluated the feedback of 33 doctors regarding their experiences in using and learning on liver phantoms to validate our model for training in ultrasound procedures. We validated our liver phantom solution, demonstrating its positive impact on the education of young doctors who can safely learn new procedures thus improving the outcomes of patients with different liver pathologies.

Risk factors for false positive and false negative MRI in diagnosing medial and lateral meniscal tears with concomitant ACL injury.

To determine the diagnostic performance of MRI in evaluating meniscal abnormalities in the setting of anterior cruciate ligament (ACL) injury and recognize predictors of false positive (FP) and false negative (FN) MRI diagnosis. Four hundred twenty patients (mean age, 27.2years; 326 males, 94 females) who underwent arthroscopy for ACL injury between January 2017 and August 2022, and had preoperative imaging within 4months, were retrospectively included. Images were independently interpreted by two experienced musculoskeletal radiologists, noting the presence of medial and lateral meniscal tears including tear type and location. Results were correlated with arthroscopic findings. Multivariate logistic regression was implemented to study risk factors (RF) for FP and FN MRI diagnosis. The sensitivity/specificity/positive predictive value/negative predictive value/accuracy of MRI for medial meniscus tear was 97.5%/74.46%/65.63%/98.35%/82.15%; for lateral meniscus tear, it was 83.5%/93.70%/70.8%/94.55% /87.86%, with substantial interreader agreement. Female gender (odds ratio (OR), 0.434), posterior horn and posterior root tears (OR, 3.268/22.588), horizontal tear (OR, 3.134), and ramp lesion (OR, 4.964) were found RF for FP medial meniscus, and meniscal body tears (OR, 308.011) were found RF for FP lateral meniscus. RF for FN medial meniscus were meniscal tear at the posterior horn, body, and posterior root (OR, 12.371/123.000/13.045). MRI is an effective screening tool for meniscal tears, but less accurate in detecting all medial meniscus injuries. Gender, meniscal tear location, and type increased the risk of FP medial meniscal tear on MRI, while meniscal tear location increased the risk of FP lateral meniscus and FN medial meniscus tears.

Influence of examiner calibration on clinical and MRI diagnosis of temporomandibular joint disc displacement: a systematic review and meta-analysis.

This study aimed to verify the accuracy of clinical protocols for the diagnosis of disc displacement (DD) compared with MRI, considering examiners' calibration. PubMed, Cochrane (Central), Scopus, Web of Science, LILACS, Embase, Science Direct, Google Scholar, and DANS EASY Archive databases were searched. Two reviewers independently screened and selected the studies. A meta-analysis was conducted using the R Statistical software. Results are shown using sensitivity and specificity, and 95% confidence intervals. Of the 20 studies included in the systematic review, only three were classified as low risk of bias. Seventeen studies were included in the meta-analysis. Compared to MRI, clinical protocols showed overall sensitivity and specificity of 0.75 (0.63-0.83) and 0.73 (0.59-0.84) for DD diagnosis, respectively. For DD with reduction, sensitivity was 0.64 (0.48-0.77) and specificity was 0.72 (0.48-0.87). For DD without reduction, sensitivity was 0.58 (0.39-0.74) and specificity 0.93 (0.83-0.97). Only 8 studies reported examiner calibration when performing clinical and/or MRI evaluation; nevertheless, calibration showed a tendency to improve the diagnosis of DD. The sensitivity and specificity of clinical protocols in the diagnosis of DD are slightly below the recommended values, as well as the studies lack calibration of clinical and MRI examiners. Examiner calibration seems to improve the diagnosis of DD.

SPINAL INTRADURAL EXTRAMEDULLARY TUMORS AND SIMILAR PATHOLOGIES: A SINGLE CENTER STUDY

Background: We wanted to analyze the neurological symptoms and prognosis of five spinal IDEM (intradural extramedullary) tumors cases diagnosed, and to emphasize that a spinal cord tumor can be found incidentally in evoluation of the proximal regions of the vertebral column in patients who were mistakenly operated for lumbar disc herniation on lumbar MRI, but whosesymptoms did not resolve. Objective: To emphasize the need for examinations such as MRI along the vertebral columna in patients with different spinal pathologies and whose symptoms and clinical signs do not improve. Methods: Patients with spinal IDEM tumors treated with surgical excision and followed for more than 2 years were retrospectively analyzed. Issessed pain with the visual analo scale (VAS), and neurological function with the Nurrick grade.Preoperative complaint time,location of tumor in sagital and axial sections in MRI and pathological diagnosis were investigated. Results: The pathological diagnosis in our study was meningioma in two cases,dural arteriovenous fistula in one case,teratoma in one case ,and myxopapilary epandimoma in one case.İn one case,disc herniation surgery was performed in another hospital due to misdiagnosis, but because the patient’s complaints were resistant. In examination, an IDEM tumor at T11 level was detected, and he was operated. In all cases the VAS score (mean) was reduced from 7.8 to 0.4 as well as the Nurrick grade (mean) was from 2.0 to 0.6. In the dAVF case, spasticity in the lower extremities, bladder and bowel disfunction continued. Conclusion: In cases with severe neurological deficits, MRI scanning of the proximal parts of the vertebral column will help in the differential diagnosis of the lesion occupying the intraspinal space.

Perineural Cysts of Tarlov: A Case Study

This is a case of perineural cysts of Tarlov in a female patient who complains of having a chronic pain in the neck. An MRI scan was done which revealed a normal spine and vertebral column. Tiny bilateral perineural cysts were found on the MRI scan. This case study will gather all the information about the formation of perineural cysts of Tarlov, prevalence, appearance on MRI, associated conditions, and differential diagnosis.

Treatment odyssey to epilepsy surgery in children with focal cortical dysplasia: Risk factors for delayed surgical intervention

ObjectiveTo elucidate the patient's journey to epilepsy surgery and identify the risk factors contributing to surgical delay in pediatric patients with drug-resistant epilepsy (DRE) due to focal cortical dysplasia (FCD). MethodsA retrospective review was conducted of 93 pediatric patients who underwent curative epilepsy surgery for FCD between January 2012 and March 2023 at a tertiary epilepsy center. The Odyssey plot demonstrated the treatment process before epilepsy surgery, including key milestones of epilepsy onset, first hospital visit, epilepsy diagnosis, MRI diagnosis, DRE diagnosis, and surgery. The primary outcome was surgical delay; the duration from DRE to surgery. Multivariate linear regression models were used to examine the association between surgical delay and clinical, investigative, and treatment characteristics. ResultsThe median age at seizure onset was 1.3 years (interquartile range [IQR] 0.14–3.1), and at the time of surgery, it was 6 years (range 1–11). Notably, 46% experienced surgical delays exceeding two years. The Odyssey plot visually highlighted that surgical delay comprised a significant portion of the patient journey. Although most patients underwent MRI before referral, MRI abnormalities were identified before referral only in 39% of the prolonged group, compared to 70% of the non-prolonged group. Multivariate analyses showed that delayed notification of MRI abnormalities, longer duration from epilepsy onset to DRE, older age at onset, number of antiseizure medications tried, and moderate to severe intellectual disability were significantly associated with prolonged surgical delay. ConclusionPediatric DRE patients with FCD experienced a long journey until surgery. Early and accurate identification of MRI abnormalities is important to minimize surgical delays.

The Development of Artificial Intelligence in Knee Joint MRI Detection

The application of artificial intelligence in the diagnosis and analysis of knee joint MRI has significantly advanced, leveraging technologies like machine learning and deep learning to enhance both accuracy and efficiency. AI models are adept at identifying, classifying, and predicting various pathologies such as osteoarthritis and ligament tears by analyzing complex imaging data. This facilitates more accurate diagnoses by assisting radiologists. Key developments include automation of image segmentation, image resolution enhancement, and noise reduction in MRI scans. Despite these advances, integrating AI into clinical workflows, managing data variability, and ensuring extensive validation pose ongoing challenges. Nonetheless, AI's potential to transform diagnostic processes, improve patient outcomes, and reduce healthcare costs by streamlining workflows remains promising.

MRI navigation surgery, including lateral pelvic lymph node dissection following chemoradiotherapy, improves local control and functional preservation of the middle to low rectal cancer

PurposeThe purpose of this study is to examine the appropriateness of MRI navigation surgery following chemoradiotherapy (CRT), including lateral pelvic lymph node dissection (LLND) for middle to low rectal cancer. MethodsForty-three consecutive patients with cT2-4b rectal cancer within 10 cm from the anal verge who underwent laparoscopic radical surgery following CRT (45–50.4Gy + S1 80mg/m2) from January 2014 and February 2020 were analyzed. We decided on the operative procedure, including LLND, based on the restaging MRI. We examined the rates of 3-year postoperative local pelvic recurrence, permanent stoma, and recurrent risk factors (Group S). We also compared the results to that of the fourteen patients who enrolled in the previous phase II trial and underwent laparoscopic radical surgery following CRT (40Gy + S-1 (80mg/m2) or UFT (300 mg/m2)) for consecutive cT2-4b rectal cancer below the peritoneal reflection. The operative procedure was decided at the initial MRI diagnosis, and the LLND was not performed (Group P). ResultsWe had no local pelvic recurrence in Group S, and the three-year local pelvic recurrence-free survival was significantly better in Group S than P (100 % in S 85.1 % in P, p < 0.05). The permanent stoma rate was not different between the Groups, irrespective of the significantly high rate of cCRM(+) in Group S. The Cox proportional hazards model for significant factors of recurrence on the univariate analysis revealed that ycM and ycEMVI scores were independently significant (p < 0.001). ConclusionMRI navigation surgery, including LLND for rectal cancer following chemoradiotherapy, improves local control and functional preservation.

A Novel CAD Structure with Bakelite Material-Inspired MRI Coils for Current Trends in an IMoT-Based MRI Diagnosis System

A Novel CAD Structure with Bakelite Material-Inspired MRI Coils for Current Trends in an IMoT-Based MRI Diagnosis System

Advances in dilated cardiomyopathy evaluation via cardiac MRI diagnosis and prognosis: a literature review

With a variety of aetiologies and clinical presentations, Dilated Cardiomyopathy (DCM) presents considerable hurdles for both diagnosis and treatment. Cardiac magnetic resonance imaging (CMR) has become a useful diagnostic technique for DCM, providing information on the anatomy, physiology, and tissue properties of the heart. Using both well-established and recently developed CMR techniques, this review investigates the function of CMR in the diagnosis and treatment of idiopathic DCM. Using reliable databases, a thorough search of the literature was carried out with an emphasis on papers released between 2014 and 2024. English-language literature examining the clinical uses of CMR in idiopathic DCM were included in the inclusion criteria. A vital component of the assessment of dilated cardiomyopathy (DCM) is cardiac magnetic resonance imaging (CMR), which provides thorough insights into the anatomy and function of the heart. Precise evaluation of tissue properties, ventricular function, and cardiac shape is made possible by CMR, which helps DCM patients get an accurate diagnosis and risk assessment. The use of advanced CMR methods, such as T1 mapping and late gadolinium enhancement (LGE) imaging, yields significant insights into the underlying aetiologies and myocardial fibrosis. Furthermore, customized prognostic evaluations are provided by CMR-based risk stratification algorithms that include many factors, improving clinical decision-making in DCM treatment. Continuous developments are expected to improve prognostic utility and accuracy, which will need efforts to lower prices and increase accessibility in order to achieve better patient outcomes and wider clinical usage

The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis.

To undertake a systematic review to assess the accuracy of fetal MRI in diagnosis of non-CNS congenital anomalies of the fetal body in comparison with antenatal ultrasound when correlated to postnatal diagnosis. Searches were conducted from electronic databases, key journals and reference lists for eligible papers. Inclusion criteria was original research studies comparing the diagnostic results of antenatal ultrasound, fetal MRI and final postnatal diagnosis via imaging, surgery or post-mortem testing. Studies of CNS anomalies were excluded. Studies were assessed for risk of bias by two reviewers working independently and data was then extracted by a single reviewer. 12 studies were included with a total of 361 eligible patients who underwent USS and MRI and had a postnatal diagnosis. USS alone had a diagnostic accuracy of 60.6% whereas MRI had an improved diagnostic accuracy of 86.4%. The overall odds ratio was 0.86 (CI 0.202-1.519 and p-value < 0.01). Fetal MRI makes a significant contribution to accurate diagnosis of congenital abnormalities of the fetal body; especially in genito-urinary anomalies. More research is needed to improve the evidence base for the role of fetal MRI in diagnosis of congenital anomalies in other body systems.

Diagnostic Model for Proliferative HCC Using LI-RADS: Assessing Therapeutic Outcomes in Hepatectomy and TKI-ICI Combination.

Proliferative hepatocellular carcinoma (HCC), aggressive with poor prognosis, and lacks reliable MRI diagnosis. To develop a diagnostic model for proliferative HCC using liver imaging reporting and data system (LI-RADS) and assess its prognostic value. Retrospective. 241 HCC patients underwent hepatectomy (90 proliferative HCCs: 151 nonproliferative HCCs), divided into the training (N = 167) and validation (N = 74) sets. 57 HCC patients received combination therapy with tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). 3.0 T, T1- and T2-weighted, diffusion-weighted, in- and out-phase, T1 high resolution isotropic volume excitation and dynamic gadoxetic acid-enhanced imaging. LI-RADS v2018 and other MRI features (intratumoral artery, substantial hypoenhancing component, hepatobiliary phase peritumoral hypointensity, and irregular tumor margin) were assessed. A diagnostic model for proliferative HCC was established, stratifying patients into high- and low-risk groups. Follow-up occurred every 3-6 months, and recurrence-free survival (RFS), progression-free survival (PFS) and overall survival (OS) in different groups were compared. Fisher's test or chi-square test, t-test or Mann-Whitney test, logistic regression, Harrell's concordance index (C-index), Kaplan-Meier curves, and Cox proportional hazards. Significance level: P < 0.05. The diagnostic model, incorporating corona enhancement, rim arterial phase hyperenhancement, infiltrative appearance, intratumoral artery, and substantial hypoenhancing component, achieved a C-index of 0.823 (training set) and 0.804 (validation set). Median follow-up was 32.5 months (interquartile range [IQR], 25.1 months) for postsurgery patients, and 16.8 months (IQR: 13.2 months) for combination-treated patients. 99 patients experienced recurrence, and 30 demonstrated tumor nonresponse. Differences were significant in RFS and OS rates between high-risk and low-risk groups post-surgery (40.3% vs. 65.8%, 62.3% vs. 90.1%, at 5 years). In combination-treated patients, PFS rates differed significantly (80.6% vs. 7.7% at 2 years). The MR-based model could pre-treatment identify proliferative HCC and assist in prognosis evaluation. Stage 2.

Non-contrast MRI and post-mastectomy silicone breast implant rupture: preventing false positive diagnoses.

Breast implants are not lifelong, with implant rupture being the third leading cause of revisional surgery in augmented women. Noncontrast MRI is a reliable tool to assess implant integrity; however, false positive and false negative diagnoses have been reported due to an incorrect interpretation of MRI signs. This study aims to investigate the incidence of these misleading results, comparing MRI findings with intraoperative surgical observations and exploring signs of nonunivocal interpretation. Between March 2019 and October 2022, our hospital, a referral center for breast cancer care, conducted 139 breast MRI examinations to evaluate implant integrity. Surgical intervention was deemed necessary for patients diagnosed with suspected or confirmed implant rupture at MRI. Those patients who did not undergo any surgical procedure (63 cases) or had surgery at different institutes (11 cases) were excluded. Among the 65 patients who underwent preoperative MRI and subsequent surgery at our institute, surgical findings confirmed the preoperative MRI diagnosis in 48 women. Notably, 17 women exhibited a discordance between MRI and surgical findings: three false negatives, 11 false positives and three possible ruptures not confirmed. Signs of nonunivocal or misleading interpretation were assessed on a patient-by-patient basis. The importance of obtaining detailed information about a patient's breast implant, including fill materials, number of lumens, manufacturer and shape, proved immensely beneficial for interpreting MRI signs accurately. Pre-MRI knowledge of implant details and a meticulous evaluation of non-univocal signs can aid radiologists in accurately assessing implant integrity, reducing the risk of unnecessary revisional surgeries, and potentially averting allegations of medical malpractice.

Artery Of Percheron Infarction: A Great Mimicker

The thalamus is a deep structure located in the diencephalon, whose arterial blood supply is mainly from four branches of posterior cerebral artery. The artery of percheron (AOP) is an infrequent variation of thalamic perfusion, occlusion of which presents with a heterogenous, atypical list of symptoms without focal signs. This is in contrast to the typical, easily recognizable focal neurology of other ischemic infarcts. Therefore, AOP infarctions may be misdiagnosed, delayed in diagnosis or missed altogether. It is a rare, but vital area of neurology that needs to be studied by clinicians to facilitate an overall care for patients.We report the case of a 59-year-old lady who presented to us with bilateral complete ptosis with bilateral vertical gaze palsy and nystagmus, whose initial NCCT brain was normal. Subsequent MRI showed bilateral thalamic and midbrain ischemic infarctions in the artery of Percheron distribution. Our case highlights the importance of high degree of suspicion, early diagnosis and role of MRI in the diagnosis when initial CT is normal.

Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer’s disease

Automated feature extraction from MRI brain scans and diagnosis of Alzheimer’s disease are ongoing challenges. With advances in 3D imaging technology, 3D data acquisition is becoming more viable and efficient than its 2D counterpart. Rather than using feature-based vectors, in this paper, for the first time, we suggest a pipeline to extract novel covariance-based descriptors from the cortical surface using the Ricci energy optimization. The covariance descriptors are components of the nonlinear manifold of symmetric positive-definite matrices, thus we focus on using the Gaussian radial basis function to apply manifold-based classification to the 3D shape problem. Applying this novel signature to the analysis of abnormal cortical brain morphometry allows for diagnosing Alzheimer’s disease. Experimental studies performed on about two hundred 3D MRI brain models, gathered from Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset demonstrate the effectiveness of our descriptors in achieving remarkable classification accuracy.