Importance of the physical exam: double-blind randomized controlled trial of radiologic interpretation of ventral hernias after selective clinical information.

PURPOSE: Increasingly, radiologic imaging is obtained as part of the pathway in diagnosing ventral hernias. Often, radiologists receive incomplete or incorrect clinical information from clinicians. OBJECTIVE: The aim of the study is to determine if clinical exam findings alter radiological interpretation of ventral hernias on CT. METHODS: This is a single-institution double-blind, randomized trial. All patients with a recent abdominal/pelvic CT scan seen in various surgical clinics were enrolled. A surgeon blinded to the CT scan findings performed a standardized physical examination and assessed for the presence of a ventral hernia. Seven independent radiologists blinded to the study design reviewed the scans. Each radiologist received one of three types of clinical exam data per CT: accurate (correct), inaccurate (purposely incorrect), or none. Allocation was random and stratified by the presence of clinical hernia. The primary outcome was the proportion of radiologic hernias detected, analyzed by chi square. RESULTS: 115 patients were enrolled for a total of 805 CT scan reads. The proportion of hernias detected differed by up to 25% depending on if accurate, no, or inaccurate clinical information was provided. Inaccurate clinical data in patients with no hernia on physical exam led to a significant difference in the radiologic hernia detection rate (54.3% versus 35.7%, p = 0.007). No clinical data in patients with a hernia on physical exam led to a lower radiologic hernia detection rate (75.0% versus 93.8%, p = 0.001). CONCLUSIONS: The presence and accuracy of clinical information provided to radiologists impacts the diagnosis of abdominal wall hernias in up to 25% of cases. Standardization of both clinical and radiologic examinations for hernias and their reporting are needed. TRIAL REGISTRATION: Clinicaltrials.gov, Number NCT03121131, https://clinicaltrials.gov/ct2/show/NCT03121131.

Detection of cardiac transplant rejection with 111In-labeled lymphocytes and gamma scintigraphy.

BACKGROUND: Cardiac transplantation is an increasingly important treatment for patients with end-stage heart failure. Rejection is one of the major limitations, and currently, serial endomyocardial biopsies are required to diagnose rejection. In the year after transplantation, patients routinely undergo 12, 14, or more biopsies. Infiltration of lymphocytes into the graft is a central feature of rejection. Previous studies from our laboratory have demonstrated the feasibility of detecting early rejection noninvasively with gamma scintigraphy after administration of autologous lymphocytes labeled with 111In. METHODS AND RESULTS: Eight patients were studied at the time of routine biopsy an average of 4.5 months after cardiac transplantation. Autologous lymphocytes were isolated and labeled with 111In. Forty-eight to 72 hours later, patients underwent planar scintigraphic imaging. Myocardial accumulation of labeled lymphocytes was quantified (indium excess, IE) with a previously described and validated technique. Animal studies have shown that an IE > or = 0.07 is associated with rejection. Two of four patients with biopsy grade 0 or 1A rejection had no excess accumulation of labeled lymphocytes. The other two patients with biopsy grade 0 or 1A had an average IE of 0.13 +/- 0.04 (SD), which may actually represent the higher sensitivity of the scintigraphic approach, since the whole myocardium is interrograted. All four patients with biopsy grade 1B rejection had increased accumulation of labeled lymphocytes (IE = 0.18 +/- 0.06, P = .06 compared with all patients with grade 0 or 1A biopsies). CONCLUSIONS: The development of a sensitive, specific, and noninvasive method of diagnosing cardiac allograft rejection in humans might obviate the need for endomyocardial biopsy as well as improve the accuracy of diagnosis. The results suggest that scintigraphic detection of labeled lymphocytes is a promising approach for the noninvasive detection of cardiac transplant rejection. In addition, the approach should permit the assessment of the efficacy of antirejection therapy.