BACKGROUND: Whole-body magnetic resonance imaging (wbMRI) allows general assessment of systemic cancers including lymphomas without radiation burden. AIM: To evaluate the diagnostic performance of wbMRI in the staging of diffuse large B-cell lymphoma (DLBCL), determine the value of individual MRI sequences, and assess patients' concerns with wbMRI. METHODS: In this single-center prospective study, adult patients newly diagnosed with systemic DLBCL underwent wbMRI on a 3T scanner [diffusion weighted images with background suppression (DWIBS), T2, short tau inversion recovery (STIR), contrast-enhanced T1] and fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) (reference standard). The involvement of 12 nodal regions and extranodal sites was evaluated on wbMRI and PET/CT. The utility of wbMRI sequences was rated on a five-point scale (0 = not useful, 4 = very useful). Patients received a questionnaire regarding wbMRI. RESULTS: Of 60 eligible patients, 14 (23%) were enrolled and completed the study. The sensitivity of wbMRI in the nodal involvement (182 nodal sites) was 0.84, with 0.99 specificity, positive predictive value of 0.96, negative predictive value of 0.97, and 0.97 accuracy. PET/CT and wbMRI were concordant both in extranodal involvement (13 instances) and staging (κ = 1.0). The mean scores of the utility of MRI sequences were 3.71 ± 0.73 for DWIBS, 2.64 ± 0.84 for T1, 2.14 ± 0.77 for STIR, and 1.29 ± 0.73 for T2 (P < 0.0001). Patients were mostly concerned about the enclosed environment and duration of the MRI examination (27% of patients). CONCLUSION: The wbMRI exhibited excellent sensitivity and specificity in staging DLBCL. DWIBS and contrast-enhanced T1 were rated as the most useful sequences. Patients were less willing to undergo wbMRI as a second examination parallel to PET/CT, especially owing to the long duration and the enclosed environment.

• Keywords
• Diffuse large B-cell lymphoma, Magnetic resonance imaging, Positron emission tomography/computed tomography, Preference, Staging,
• Publication type
• Journal Article MeSH

BACKGROUND: A laparoscopy-based scoring system was developed by Fagotti et al (Fagotti or Predictive Index value (PIV)score) based on the intraoperative presence or absence of carcinomatosis on predefined sites. Later, the authors updated the PIV score calculated only in the absence of one or both absolute criteria of nonresectability (mesenteric retraction and miliary carcinomatosis of the small bowel) (updated PIV model). OBJECTIVE: The aim was to demonstrate the noninferiority of ultrasound to other imaging methods (contrast enhanced computed tomography (CT) and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI)/MRI) in predicting nonresectable tumor (defined as residual disease >1 cm) using the updated PIV model in patients with tubo-ovarian cancer. The agreement between imaging and intraoperative findings as a reference was also calculated. STUDY DESIGN: This was a European prospective multicenter observational study. We included patients with suspected tubo-ovarian carcinoma who underwent preoperative staging and prediction of nonresectability at ultrasound, CT, WB-DWI/MRI, and surgical exploration. Ultrasound and CT were mandatory index tests, while WB-DWI/MRI was an optional test (non-available in all centers). The predictors of nonresectability were suspicious mesenteric retraction and/or miliary carcinomatosis of the small bowel or if absent, a PIV >8 (updated PIV model). The PIV score ranges from 0 to 12 according to the presence of disease in 6 predefined intra-abdominal sites (great omentum, liver surface, lesser omentum/stomach/spleen, parietal peritoneum, diaphragms, bowel serosa/mesentery). The reference standard was surgical outcome, in terms of residual disease >1 cm, assessed by laparoscopy and/or laparotomy. The area under the receiver operating characteristic curve (AUC) to assess the performance of the methods in predicting nonresectability was reported. Concordance between index tests at the detection of disease at 6 predefined sites and intraoperative exploration as reference standard was also calculated using Cohen's kappa. RESULTS: The study was between 2018 and 2022 in 5 European gynecological oncology centers. Data from 242 patients having both mandatory index tests (ultrasound and CT) were analyzed. 145/242 (59.9%) patients had no macroscopic residual tumor after surgery (R0) (5/145 laparoscopy and 140/145 laparotomy) and 17/242 (7.0%) had residual tumor ≤1 cm (R1) (laparotomy). In 80/242 patients (33.1%), the residual tumor was>1 cm (R2), 30 of them underwent laparotomy and maximum surgery was carried out, and 50/80 underwent laparoscopy only, because cytoreduction was not feasible in all of them. After excluding 18/242 (7.4%) patients operated on but not eligible for extensive surgery, the predictive performance of 3 imaging methods was analyzed in 167 women. The AUCs of all methods in discriminating between resectable and nonresectable tumor was 0.80 for ultrasound, 0.76 for CT, 0.71 for WB-DWI/MRI, and 0.90 for surgical exploration. Ultrasound had the highest agreement (Cohen's kappa ranging from 0.59 to 0.79) than CT and WB-DWI/MRI to assess all parameters included in the updated PIV model. CONCLUSION: Ultrasound showed noninferiority to CT and to WB-DWI/MRI in discriminating between resectable and nonresectable tumor using the updated PIV model. Ultrasound had the best agreement between imaging and intraoperative findings in the assessment of parameters included in the updated PIV model. Ultrasound is an acceptable method to assess abdominal disease and predict nonresectability in patients with tubo-ovarian cancer in the hands of specially trained ultrasound examiners.

• Keywords
• computed tomography, laparoscopy, laparotomy, magnetic resonance, ovarian cancer, staging, ultrasonography,
• MeSH
• Diffusion Magnetic Resonance Imaging methods   MeSH
• Adult MeSH
• Laparoscopy methods   MeSH
• Middle Aged MeSH
• Humans MeSH
• Ovarian Neoplasms * diagnostic imaging   surgery   pathology   MeSH
• Tomography, X-Ray Computed * MeSH
• Predictive Value of Tests * MeSH
• Prospective Studies MeSH
• Neoplasm, Residual diagnostic imaging   MeSH
• Aged MeSH
• Neoplasm Staging MeSH
• Ultrasonography MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Observational Study MeSH

BACKGROUND: The aim was to evaluate the performance of the Peritoneal Cancer Index (PCI) using imaging (ultrasound, contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) in assessing peritoneal carcinomatosis and predicting non-resectability in tubo-ovarian carcinoma patients. METHODS: This was a prospective multicenter observational study. We considered all patients with suspected primary ovarian/tubal/peritoneal cancer who underwent preoperative ultrasound, CT, and WB-DWI/MRI (if available). The optimal cut off value for assessing the performance of the methods in predicting non-resectability was identified at the point at which the sensitivity and specificity were most similar. The reference standard to predict non-resectability was surgical outcome in terms of residual disease >1 cm or surgery not feasible. Agreement between imaging methods and surgical exploration in assessing sites included in the PCI score was evaluated using the Intraclass Correlation Coefficient (ICC). RESULTS: 242 patients were included from January 2020 until November 2022. The optimal PCI cut-off for predicting non-resectability for surgical exploration was >12, which achieved the best AUC of 0.87, followed by ultrasound with a cut-off of >10 and AUC of 0.81, WB-DWI/MRI with a cut-off of >12 and AUC of 0.81, and CT with a cut-off of >11 and AUC of 0.74. Using ICC, ultrasound had very high agreement (0.94) with surgical PCI, while CT and WB-DWI/MRI had high agreement (0.86 and 0.87, respectively). CONCLUSION: Ultrasound performed by an expert operator had the best agreement with surgical findings compared to WB-DWI/MRI and CT in assessing radiological PCI. In predicting non-resectability, ultrasound was non-inferior to CT, while its non-inferiority to WB-DWI/MRI was not demonstrated.

• Keywords
• Computed tomography, Laparoscopy, Laparotomy, Magnetic resonance, Ovarian cancer, Staging, Ultrasonography,
• MeSH
• Diffusion Magnetic Resonance Imaging methods   MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Ovarian Neoplasms * diagnostic imaging   pathology   surgery   MeSH
• Fallopian Tube Neoplasms diagnostic imaging   pathology   surgery   MeSH
• Peritoneal Neoplasms * diagnostic imaging   MeSH
• Tomography, X-Ray Computed * methods   MeSH
• Predictive Value of Tests MeSH
• Prospective Studies MeSH
• Aged MeSH
• Ultrasonography * methods   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Observational Study MeSH

The narrative review article is focused on the strengths and limitations of modern imaging methods in the preoperative differential diagnosis of uterine mesenchymal tumours. In order to tailor the surgical procedures, imaging methods, namely ultrasound and magnetic resonance imaging (MRI), should be taken into account as well as clinical symptoms, age, and fertility plans. On ultrasound scans, uterine sarcomas have the appearance of large, usually solitary tumours of non-homogenous structure with irregular cysts, ill-defined outline borders (interrupted capsule), absence of calcifications with acoustic shadowing, and moderate to rich internal vascularisation. Rapid growth between follow-ups or atypical growth in peri- or post-menopause is also a sign of malignancy. On MRI, uterine sarcomas are characterized by irregular borders, hyperintense areas on T1-weighted and T2- weighted images, and central non-enhancing necrotic areas. On diffusion-weighted imaging (DWI/MRI), sarcomas exhibit markedly restricted diffusion but there is a significant overlap with some variants of fibroids. Core-needle or hysteroscopic biopsy can be used preoperatively if suspicious features are detected on ultrasound or MRI scans, particularly before myomectomy if fertility preservation is required or when conservative management is considered in asymptomatic women. Other imaging methods, such as positron emission tomography fused with CT (PET-CT) or computed tomography (CT) have limited role to distinguish uterine sarcomas from myomas and are suitable only for staging purposes. The importance of tumour markers including lactate dehydrogenase in preoperative work-up have not been verified yet. Conclusion: Uterine sarcomas can be distinguished from much more common myomas based on a combination of malignant features on ultrasound or MR imaging. In these suspicious cases the type and extent of surgery should be adjusted, avoiding intraperitoneal morcellation, which could lead to iatrogenic tumour spread and worsening of the patient's prognosis.

• Keywords
• Biopsy, biomarkers, magnetic resonance, magnetic resonance imaging, myoma, ultrasound, uterine sarcoma,
• MeSH
• Diagnosis, Differential MeSH
• Leiomyoma diagnosis   diagnostic imaging   surgery   MeSH
• Humans MeSH
• Magnetic Resonance Imaging MeSH
• Uterine Neoplasms * diagnosis   diagnostic imaging   surgery   pathology   MeSH
• Sarcoma * diagnosis   diagnostic imaging   surgery   MeSH
• Ultrasonography methods   MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

BACKGROUND: In addition to the diagnostic accuracy of imaging methods, patient-reported satisfaction with imaging methods is important. OBJECTIVE: To report a secondary outcome of the prospective international multicenter Imaging Study in Advanced ovArian Cancer (ISAAC Study), detailing patients' experience with abdomino-pelvic ultrasound, whole-body contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) for pre-operative ovarian cancer work-up. METHODS: In total, 144 patients with suspected ovarian cancer at four institutions in two countries (Italy, Czech Republic) underwent ultrasound, CT, and WB-DWI/MRI for pre-operative work-up between January 2020 and November 2022. After having undergone all three examinations, the patients filled in a questionnaire evaluating their overall experience and experience in five domains: preparation before the examination, duration of examination, noise during the procedure, radiation load of CT, and surrounding space. Pain perception, examination-related patient-perceived unexpected, unpleasant, or dangerous events ('adverse events'), and preferred method were also noted. RESULTS: Ultrasound was the preferred method by 49% (70/144) of responders, followed by CT (38%, 55/144), and WB-DWI/MRI (13%, 19/144) (p<0.001). The poorest experience in all domains was reported for WB-DWI/MRI, which was also associated with the largest number of patients who reported adverse events (eg, dyspnea). Patients reported higher levels of pain during the ultrasound examination than during CT and WB-DWI/MRI (p<0.001): 78% (112/144) reported no pain or mild pain, 19% (27/144) moderate pain, and 3% (5/144) reported severe pain (pain score >7 of 10) during the ultrasound examination. We did not identify any factors related to patients' preferred method. CONCLUSION: Ultrasound was the imaging method preferred by most patients despite being associated with more pain during the examination in comparison with CT and WB-DWI/MRI. TRIAL REGISTRATION NUMBER: NCT03808792.

• Keywords
• Cross-Sectional Studies, Ovarian Cancer, Preoperative Care,
• MeSH
• Whole Body Imaging methods   MeSH
• Diffusion Magnetic Resonance Imaging * methods   MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Ovarian Neoplasms * diagnostic imaging   pathology   MeSH
• Tomography, X-Ray Computed * methods   MeSH
• Preoperative Care methods   MeSH
• Prospective Studies MeSH
• Cross-Sectional Studies MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Patient Satisfaction * MeSH
• Neoplasm Staging MeSH
• Ultrasonography * methods   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH

BACKGROUND: Deep-learning-based reconstruction (DLR) improves the quality of magnetic resonance (MR) images which allows faster acquisitions. The aim of this study was to compare the image quality of standard and accelerated T2 weighted turbo-spin-echo (TSE) images of the prostate reconstructed with and without DLR and to find associations between perceived image quality and calculated image characteristics. METHODS: In a cohort of 47 prospectively enrolled consecutive patients referred for bi-parametric prostate magnetic resonance imaging (MRI), two T2-TSE acquisitions in the transverse plane were acquired on a 3T scanner-a standard T2-TSE sequence and a short sequence accelerated by a factor of two using compressed sensing (CS). The images were reconstructed with and without DLR in super-resolution mode. The image quality was rated in six domains. Signal-to-noise ratio (SNR), and image sharpness were measured. RESULTS: The mean acquisition time was 281±23 s for the standard and 140±12 s for the short acquisition (P<0.0001). DLR images had higher sharpness compared to non-DLR (P<0.001). Short and short-DLR had lower SNR than the standard and standard-DLR (P<0.001). The perceived image quality of short-DLR was rated better in all categories compared to the standard sequence (P<0.001 to P=0.004). All domains of subjective evaluation were correlated with measured image sharpness (P<0.001). CONCLUSIONS: T2-TSE acquisition of the prostate accelerated using CS combined with DLR reconstruction provides images with increased sharpness that have a superior quality as perceived by human readers compared to standard T2-TSE. The perceived image quality is correlated with measured image contrast.

• Keywords
• Magnetic resonance imaging (MRI), artificial intelligence (AI), image reconstruction, prostate cancer,
• Publication type
• Journal Article MeSH

OBJECTIVE: This study tested the hypothesis that limited subcutaneous adipose tissue (SAT) expansion represents a primary predisposition to the development of type 2 diabetes mellitus (T2DM), independent of obesity, and identified novel markers of SAT dysfunction in the inheritance of T2DM. METHODS: First-degree relatives (FDR) of T2DM patients (n = 19) and control individuals (n = 19) without obesity (fat mass < 25%) were cross-sectionally compared. Body composition (bioimpedance, computed tomography) and insulin sensitivity (IS; oral glucose tolerance test, clamp) were measured. SAT obtained by needle biopsy was used to analyze adipocyte size, lipidome, mRNA expression, and inflammatory markers. Primary cultures of adipose precursors were analyzed for adipogenic capacity and metabolism. RESULTS: Compared with control individuals, FDR individuals had lower IS and a higher amount of visceral fat. However, SAT-derived adipose precursors did not differ in their ability to proliferate and differentiate or in metabolic parameters (lipolysis, mitochondrial oxidation). In SAT of FDR individuals, lipidomic and mRNA expression analysis revealed accumulation of triglycerides containing polyunsaturated fatty acids and increased mRNA expression of lysyl oxidase (LOX). These parameters correlated with IS, visceral fat accumulation, and mRNA expression of inflammatory and cellular stress genes. CONCLUSIONS: The intrinsic adipogenic potential of SAT is not affected by a family history of T2DM. However, alterations in LOX mRNA and polyunsaturated fatty acids in triacylglycerols are likely related to the risk of developing T2DM independent of obesity.

• MeSH
• Diabetes Mellitus, Type 2 * genetics   metabolism   MeSH
• Insulin Resistance * genetics   MeSH
• Humans MeSH
• RNA, Messenger metabolism   MeSH
• Fatty Acids, Unsaturated metabolism   MeSH
• Intra-Abdominal Fat metabolism   MeSH
• Obesity genetics   metabolism   MeSH
• Subcutaneous Fat metabolism   MeSH
• Cross-Sectional Studies MeSH
• Triglycerides metabolism   MeSH
• Adipose Tissue metabolism   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• RNA, Messenger MeSH
• Fatty Acids, Unsaturated MeSH
• Triglycerides MeSH

OBJECTIVES: To assess the diagnostic performance and interobserver agreement of CT pulmonary angiography (CTPA) in the detection of chronic thromboembolic pulmonary hypertension (CTEPH) and its features among radiologists of different levels of experience. MATERIALS AND METHODS: In this retrospective, single-center, single-blinded study, three radiologists with different levels of experience in CT imaging (R1:15 years, R2:6 years, and R3:3 years) evaluated CTPA of 51 patients ultimately diagnosed with CTEPH (European Society of Cardiology guidelines) and 49 patients without CTEPH in random order to assess the presence of CTEPH, its features in the pulmonary artery tree, proximal level of involvement, bronchial artery hypertrophy, mosaic perfusion, and right heart overload. RESULTS: CTPAs of 51 patients with CTEPH (median age, 66 years (IQR 56-72), 28 men) and 49 patients without CTEPH (median age, 65 years (IQR 50-74), 25 men) were evaluated. The sensitivity and specificity for the detection of CTEPH was 100% (all radiologists) and 100% (R1), 96% (R2), and 96% (R3) with almost perfect agreement (κ = 0.95). The sensitivity and specificity for detecting CTEPH by mosaic perfusion would be 89% (95%CI 83-93%) and 81% (74-87%). The level of pulmonary artery involvement was reported with moderate agreement (κ = 0.54, 95%CI 0.40-0.65). Substantial agreement was found in the evaluation of mosaic attenuation (κ = 0.75, 95%CI 0.64-0.84), right heart overload (κ = 0.68, 95%CI 0.56-0.79), and bronchial artery hypertrophy (0.71, 95%CI 0.59-0.82) which were the best predictors of CTEPH (p < 0.0001). CONCLUSIONS: CTPA has high sensitivity and specificity in detecting CTEPH and almost perfect agreement among radiologists of different levels of expertise. CLINICAL RELEVANCE: CT pulmonary angiography can be used as a first-line imaging modality in patients with suspected chronic thromboembolic pulmonary hypertension (CTEPH) even when interpreted by non-CTEPH experts. KEY POINTS: • CT pulmonary angiography has high sensitivity and specificity in detecting chronic thromboembolic pulmonary hypertension (CTEPH) and almost perfect interobserver agreement among radiologists of different levels of expertise. • Substantial agreement exists in the assessment of mosaic attenuation, right heart overload, and bronchial artery hypertrophy, which are the best predictors of CTEPH.

• Keywords
• Computed tomography angiography, Pulmonary arterial hypertension, Pulmonary artery, Pulmonary embolism,
• MeSH
• Angiography methods   MeSH
• Chronic Disease MeSH
• Hypertrophy MeSH
• Single-Blind Method MeSH
• Middle Aged MeSH
• Humans MeSH
• Pulmonary Embolism * complications   diagnostic imaging   MeSH
• Hypertension, Pulmonary * complications   diagnostic imaging   MeSH
• Tomography, X-Ray Computed methods   MeSH
• Retrospective Studies MeSH
• Aged MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

OBJECTIVES: To quantify extraprostatic findings (EPFs) on prostate MRI, estimate the proportion of reported and unreported EPFs, assess their clinical importance, and propose standardized reporting of EPFs. MATERIALS AND METHODS: Prostate 3-T MRI studies, reports, and clinical data from 623 patients (age 67.9 ± 8.2 years) were retrospectively analyzed and re-evaluated for the presence of EPFs and their clinical significance: E1-no finding or findings that have no clinical significance; E2-potentially significant findings; and E3-significant findings. RESULTS: Secondary reading identified 1236 EPFs in 593 patients (1.98 ± 1.13 EPFs per patient, no EPFs in 30 patients), from which 468 (37.8%) were mentioned in the original report. The most common findings included diverticulosis (44% of patients), hydrocele (34%), inguinal fat hernia (16%), and bladder wall trabecular hypertrophy (15%). There were 80 (6.5%) E2 EPFs and 30 (2.4%) E3 EPFs. From E3 EPFs, 10 (33%) were not originally reported. A workup was suggested in 35 (52%) of the 67 originally reported E2 and E3 findings with follow-up and performed in 20 (30%). Fourteen (21%) EPFs in 11 patients influenced their management. Four experienced radiologists originally reported 1.8 to 2.5 findings per patient (p < 0.0001). CONCLUSIONS: EPFs on prostate MRI are frequent, but only 2.4% are clinically significant (E3), and 33% of these are not reported. Only 30% of E2 and E3 findings are further explored, and 21% influence patient management. We suggest that an "E" category should be attached to the PI-RADS system to identify the presence of EPFs that require further workup. CRITICAL RELEVANCE STATEMENT: Extraprostatic findings on prostate MRI are frequent, but only 2.4% are clinically significant (E3), and 33% of these are not reported. We advocate standardized reporting of extraprostatic findings indicating their clinical significance. KEY POINTS: • Extraprostatic findings on prostate MRI are frequent with an average of two findings per patient. • 2.4% of extraprostatic findings are significant, and 33% of these are not reported. • There is a significant variability among experienced radiologists in reporting extraprostatic findings.

• Keywords
• Cancer, Extraprostatic findings, Magnetic resonance imaging, PI-RADS, Prostate,
• Publication type
• Journal Article MeSH

Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC using a single test remains unfeasible due to the low prevalence and potential harms of false positives. Non-contrast computed tomography (CT), routinely performed for clinical indications, offers the potential for large-scale screening, however, identification of PDAC using non-contrast CT has long been considered impossible. Here, we develop a deep learning approach, pancreatic cancer detection with artificial intelligence (PANDA), that can detect and classify pancreatic lesions with high accuracy via non-contrast CT. PANDA is trained on a dataset of 3,208 patients from a single center. PANDA achieves an area under the receiver operating characteristic curve (AUC) of 0.986-0.996 for lesion detection in a multicenter validation involving 6,239 patients across 10 centers, outperforms the mean radiologist performance by 34.1% in sensitivity and 6.3% in specificity for PDAC identification, and achieves a sensitivity of 92.9% and specificity of 99.9% for lesion detection in a real-world multi-scenario validation consisting of 20,530 consecutive patients. Notably, PANDA utilized with non-contrast CT shows non-inferiority to radiology reports (using contrast-enhanced CT) in the differentiation of common pancreatic lesion subtypes. PANDA could potentially serve as a new tool for large-scale pancreatic cancer screening.

• MeSH
• Deep Learning * MeSH
• Carcinoma, Pancreatic Ductal * diagnostic imaging   pathology   MeSH
• Humans MeSH
• Pancreatic Neoplasms * diagnostic imaging   pathology   MeSH
• Pancreas diagnostic imaging   pathology   MeSH
• Tomography, X-Ray Computed MeSH
• Retrospective Studies MeSH
• Artificial Intelligence MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH