Rationale and objectives

Radiologists play a pivotal role in patient management, primarily through interacting with referring clinicians. Despite this extensive cross-specialty interaction, radiology resident education rarely involves direct education from clinicians outside the department. We surveyed resident attitudes toward integrated conferences with subspecialty referring physicians both before and after a pilot lecture series at our institution.

Materials and methods

Three thoracic-themed multidisciplinary conferences were organized, which involved a variety of clinicians lecturing during normal resident conference times. Resident surveys were administered before and after the complete lectures series as well as immediately after each individual lecture.

Results

The prelecture series survey indicated residents felt neutral about their confidence in knowing what clinicians want from radiology reports and the current level of "clinician-focus" in the curriculum. Residents indicated a desire for more clinician involvement in lectures. After completion of the series, residents expressed that the integrated conferences were useful and that they had greater confidence in understanding the clinicians' expectation of reports. Resident interest in clinician participation in lectures was higher after series completion. Most residents indicated that prespecified, self-identified learning objectives were met by the lectures. After the completion of the series, most residents indicated that they wanted the series to continue, with the most commonly indicated desired frequency being once or twice a month.

Conclusion

Subspecialty clinician participation in a cross-specialty integrated resident lecture series was highly favored and well received. An "Integrated Clinical Lecture Series" may be a beneficial addition to radiology residency curriculums.

Rationale

Population-based studies of idiopathic pulmonary fibrosis (IPF) in the United States have been limited by reliance on diagnostic code-based algorithms that lack clinical validation.

Objectives

To validate a well-accepted International Classification of Diseases, Ninth Revision, code-based algorithm for IPF using patient-level information and to develop a modified algorithm for IPF with enhanced predictive value.

Methods

The traditional IPF algorithm was used to identify potential cases of IPF in the Kaiser Permanente Northern California adult population from 2000 to 2014. Incidence and prevalence were determined overall and by age, sex, and race/ethnicity. A validation subset of cases (n = 150) underwent expert medical record and chest computed tomography review. A modified IPF algorithm was then derived and validated to optimize positive predictive value.

Results

From 2000 to 2014, the traditional IPF algorithm identified 2,608 cases among 5,389,627 at-risk adults in the Kaiser Permanente Northern California population. Annual incidence was 6.8/100,000 person-years (95% confidence interval [CI], 6.1-7.7) and was higher in patients with older age, male sex, and white race. The positive predictive value of the IPF algorithm was only 42.2% (95% CI, 30.6 to 54.6%); sensitivity was 55.6% (95% CI, 21.2 to 86.3%). The corrected incidence was estimated at 5.6/100,000 person-years (95% CI, 2.6-10.3). A modified IPF algorithm had improved positive predictive value but reduced sensitivity compared with the traditional algorithm.

Conclusions

A well-accepted International Classification of Diseases, Ninth Revision, code-based IPF algorithm performs poorly, falsely classifying many non-IPF cases as IPF and missing a substantial proportion of IPF cases. A modification of the IPF algorithm may be useful for future population-based studies of IPF.

PURPOSE: To determine the accuracy of computed tomography (CT) in identifying the histopathologic usual interstitial pneumonia (UIP) pattern in rheumatoid arthritis-associated interstitial lung disease (RA-ILD). MATERIALS AND METHODS: All patients were enrolled into institutional review board-approved longitudinal cohorts at their respective institution, and informed consent was obtained at the time of enrollment. Images of patients with surgical lung biopsy-proved RA-ILD (n = 69) were collected from three tertiary care centers. Two experienced thoracic radiologists independently reviewed the CT scans. The CT pattern was categorized as definite UIP, possible UIP, or inconsistent with UIP in accordance with published criteria. Findings of biopsies were reviewed by an experienced lung pathologist. The sensitivity and specificity of definite CT UIP pattern to histopathologic UIP pattern were determined. The agreement between radiologists was assessed by calculating a κ score. RESULTS: The histopathologic UIP pattern was present in 42 of 69 (61%) patients. Men were more likely than women to have a histopathologic UIP pattern (P = .02). Twenty patients (29%, 20 of 69) had a definite UIP pattern on CT scans. The specificity of CT UIP pattern was 96% (26 of 27; 95% confidence interval [CI]: 81%, 100%), with a negative predictive value of 53% (26 of 49). The sensitivity of CT UIP pattern was 45% (19 of 42; 95% CI: 30%, 61%), with a positive predictive value of 95% (19 of 20). The agreement between radiologists for definite UIP pattern versus not was 87% (κ = 0.67, P < .0001). CONCLUSION: Definite UIP pattern on a CT scan in RA-ILD is highly specific and moderately sensitive for histopathologic UIP pattern. CT can therefore help accurately identify the UIP pattern in RA-ILD.