Radiology最新文献

Background Mammogram interpretation is challenging in female patients with extremely dense breasts (Breast Imaging Reporting and Data System [BI-RADS] category D), who have a higher breast cancer risk. Contrast-enhanced mammography (CEM) has recently emerged as a potential alternative; however, data regarding CEM utility in this subpopulation are limited. Purpose To evaluate the diagnostic performance of CEM for breast cancer screening in female patients with extremely dense breasts. Materials and Methods This retrospective single-institution study included consecutive CEM examinations in asymptomatic female patients with extremely dense breasts performed from December 2012 to March 2022. From CEM examinations, low-energy (LE) images were the equivalent of a two-dimensional full-field digital mammogram. Recombined images highlighting areas of contrast enhancement were constructed using a postprocessing algorithm. The sensitivity and specificity of LE images and CEM images (ie, including both LE and recombined images) were calculated and compared using the McNemar test. Results This study included 1299 screening CEM examinations (609 female patients; mean age, 50 years ± 9 [SD]). Sixteen screen-detected cancers were diagnosed, and two interval cancers occured. Five cancers were depicted at LE imaging and an additional 11 cancers were depicted at CEM (incremental cancer detection rate, 8.7 cancers per 1000 examinations). CEM sensitivity was 88.9% (16 of 18; 95% CI: 65.3, 98.6), which was higher than the LE examination sensitivity of 27.8% (five of 18; 95% CI: 9.7, 53.5) (P = .003). However, there was decreased CEM specificity (88.9%; 1108 of 1246; 95% CI: 87.0, 90.6) compared with LE imaging (specificity, 96.2%; 1199 of 1246; 95% CI: 95.0, 97.2) (P < .001). Compared with specificity at baseline, CEM specificity at follow-up improved to 90.7% (705 of 777; 95% CI: 88.5, 92.7; P = .01). Conclusion Compared with LE imaging, CEM showed higher sensitivity but lower specificity in female patients with extremely dense breasts, although specificity improved at follow-up. © RSNA, 2024 See also the editorial by Lobbes in this issue.

Supplemental material is available for this article. See also the editorial by Forghani in this issue.

Background Distinguishing lumbar pain generators from incidental findings at MRI can be difficult. Dictated reports may become lists of findings that cannot be ranked in order of diagnostic importance. Purpose To determine whether patient-reported symptom information can improve the interpretation of lumbar spine MRI by using the spine specialist as the reference standard. Materials and Methods This prospective, single-center, multireader study analyzed 240 participants who completed pre-MRI symptom questionnaires between May 2022 and February 2023. At the time of clinical MRI reporting, radiologists recorded pain generators in consecutive participants, creating two study groups by alternating interpretations with versus without symptom questionnaire results (SQR). Diagnostic certainty was recorded using a numeric scale of 0 to 100. Types, levels, and sides of pain generators were compared with reference diagnoses by calculating Cohen κ values with 95% CIs. Participant characteristics and diagnostic certainties were compared using the Wilcoxon rank sum, Pearson χ², or Kruskal-Wallis test. Interrater agreement was analyzed. Results There was no difference in age (P = .69) or sex (P = .60) between participants using SQR (n = 120; mean age, 61.0 years; 62 female) and not using SQR (n = 120; mean age, 62.5 years; 67 female). When radiologists were compared with specialists, agreements on pain generators were almost perfect for interpretations using SQR (type: κ = 0.82 [95% CI: 0.74,0.89]; level: κ = 0.88 [95% CI: 0.80, 0.95]; side: κ = 0.84 [95% CI: 0.75, 0.92]), but only fair to moderate for interpretations not using SQR (type: κ = 0.26 [95% CI: 0.15, 0.36]; level: κ = 0.51 [95% CI: 0.39, 0.63]; side: κ = 0.30 [95% CI: 0.18, 0.42]) (all P < .001). Diagnostic certainty was higher for MRI interpretations using SQR (mean, 80.4 ± 14.9 [SD]) than MRI interpretations not using SQR (60.5 ± 17.7) (P < .001). Interrater agreements were substantial (κ = 0.65-0.78) for MRI interpretations using SQR but only fair to moderate (κ = 0.24-0.49) for MRI interpretations not using SQR (all P < .001). Conclusion Patient-reported symptom information enabled radiologists to achieve nearly perfect diagnostic agreement with clinical experts. © RSNA, 2024 See also the editorial by Isikbay and Shah in this issue.

Background Diagnostic workup of small pulmonary nodules often requires follow-up CT scans to confirm nodule growth before invasive diagnostics or treatment. Purpose To confirm prior results from the International Early Lung Cancer Action Program (I-ELCAP) on quantifying decreases in lung cancer prognosis by using two large databases, the National Lung Screening Trial (NLST) and International Association for the Study of Lung Cancer (IASLC). Materials and Methods In this retrospective study, a model was developed to predict cure rates based on size of solid nodules using the NLST (August 2002 to summer 2007) and IASLC (January 2011 to December 2019) databases, focusing on stage I non-small cell lung cancer (NSCLC). Kaplan-Meier methods were used to calculate 10-year lung cancer-specific survival and 5-year overall survival rates for different tumor sizes. Tumor diameter increases after 90-, 180-, and 365-day delays were estimated using volume doubling times (VDTs) of 60, 120, and 240 days corresponding to fast, moderate, and slow tumor growth. Initial and delayed lung cancer cure rates were assessed across nine scenarios of time delays and tumor growth rates and compared with the previous results of the I-ELCAP database. Results Using regression models based on 166 NLST and 22 590 IASLC patients with NSCLC, 10-year lung cancer-specific survival and 5-year overall survival, respectively, for tumors 4.0-20.0 mm in diameter were estimated. For a 20.0-mm tumor with a 60-day VDT in the NLST database, the lung cancer-specific survival decreased from 83.4% to 76.5%, 66.8%, and 32.3% after 90, 180, and 365 days, respectively. The IASLC database showed similar decreases in 5-year overall survival, from 81.2% to 73.4%, 62.4%, and 23.3% after 90, 180, and 365 days, respectively. Comparison across NLST, IASLC, and I-ELCAP databases revealed minor variations in lung cancer cure rates between 79.9% and 83.4%, with reductions of 6.9%-8.3% after a 180-day delay with a 120-day VDT. Conclusion The NLST and IASLC databases confirmed prior estimates from the I-ELCAP database for the decrease in lung cancer prognosis due to diagnostic delays. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Park and Lee in this issue.

Background The overall trends in academic radiology physician compensation are not well studied. Purpose To assess recent trends in academic radiology financial compensation and distribution based on rank, gender, race/ethnicity, and geography in U.S. medical schools. Materials and Methods This secondary analysis used deidentified data from the Association of American Medical Colleges (AAMC) Faculty Salary Report, which collects information for full-time faculty at U.S. medical schools. Financial compensation data for full-time academic radiology faculty was collected from 2017 to 2023, stratified by rank, gender, race/ethnicity, and geography. The faculty salary report includes median, 25th, and 75th percentile compensation values for each rank, which were used to analyze trends with linear regression. Median compensation values were used to compare groups based on gender, race/ethnicity, and region. Results The AAMC Faculty Salary Report data for 2023 included responses for 5847 faculty members across all radiology departments, including 306 instructors, 2758 assistant professors, 1409 associate professors, 1004 full professors, 226 chiefs, and 144 chairs. On average, median faculty compensation increased by 2.6%-4.4% per year from 2017 to 2023, with the greatest increase (by 4.4% per year) at the instructor level and smaller increases (3.4%-2.6%) at the more senior ranks. Male faculty members were consistently compensated more than women at all ranks throughout the study period. The overall salary gap remained at 6% ($455 000 for women vs $483 000 for men) throughout the study period but increased numerically from $24 000 in 2019 to $28 000 in 2023. Black/African American faculty had a lower median compensation compared with White faculty (by 4% overall; $452 000 for Black/African American faculty vs $472 000 for White faculty) at all ranks except at professor rank. Instructor compensation in the Northeast region was substantially higher (by $278 000) than other regions, but this geographic differential did not exceed $35 000 at other ranks. Conclusion This study summarized the trends of full-time academic radiology faculty compensation and showed persistent salary inequities that should be addressed as part of a broader drive to increase diversity, equity, and inclusion. © RSNA, 2024 Supplemental material is available for this article.

Background The potential of time-dependent diffusion MRI in imaging the progression from liver fibrosis to cirrhosis has not been established. Purpose To assess the effectiveness of time-dependent diffusion MRI in mapping the microstructure and characterizing cellular attributes during the progression of liver fibrosis to cirrhosis and to investigate its potential in grading liver fibrosis. Materials and Methods This prospective study, performed between December 2022 and October 2023, used 60 rats to establish a liver fibrosis model by means of diethylnitrosamine administration, with five additional rats serving as control animals. Time-dependent diffusion MRI was performed with equivalent diffusion time of 5.4, 10.7, and 69.3 msec on a 3.0-T scanner. Time-dependent diffusion MRI-based microstructural parameters, including cell diameter, intracellular volume fraction (ICVF), cellularity, and extracellular diffusivity, were estimated with use of the imaging microstructural parameters using limited spectrally edited diffusion, or IMPULSED, model. The fitted microstructural parameters were validated with histopathologic measurements. Results All 60 rats developed liver fibrosis, with a noticeable decrease in cell diameter and an increase in ICVF and cellularity observed as liver fibrosis progressed. The diameter measured at pathologic examination ranged from 11.4 μm to 35.4 μm, aligning with the range of 12.4-33.4 μm observed in time-dependent diffusion MRI, which indicated a strong correlation (r = 0.84; P < .001). The quantified ICVF at pathologic examination ranged from 0.28 to 0.89 and varied from 0.23 to 0.85 at time-dependent diffusion MRI, showing a high correlation (r = 0.62; P < .001). The cellularity observed at pathologic examination increased from 0.74 to 5.85, while the cellularity measured at time-dependent diffusion MRI ranged from 0.77 to 3.70, showing a correlation (r = 0.44; P < .001). Conclusion This study revealed the changes in quantitative microstructural mapping across the spectrum from liver fibrosis to cirrhosis. Cell diameter, ICVF, and cellularity are reliable markers for liver fibrosis, with diameter and ICVF presenting good discrimination ability. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Matos and Metens in this issue.