HYPOTHESIS: In contrast to previous beliefs, we hypothesize that computed tomography (CT) scanning is sensitive and specific for the diagnosis of necrotizing soft tissue infections (NSTIs). DESIGN: Retrospective and prospective case series. SETTING: Academic medical center. PATIENTS: Patients who were clinically suspected of having NSTIs from January 1, 2003, through April 30, 2009, and who underwent imaging with a 16- or 64-section helical CT scanner were studied. The CT result was considered positive if inflamed and necrotic tissue with or without gas or fluid collections across tissue planes was found. The disease (NSTI) was considered present if surgical exploration revealed elements of infection and necrosis of the soft tissues and pathological analysis confirmed the findings. The disease was considered absent if surgical exploration and pathological analysis failed to identify any of these findings or the patient was successfully treated without surgical exploration. MAIN OUTCOME MEASURES: Sensitivity and specificity of CT for diagnosing NSTI. RESULTS: Of 67 patients with study inclusion criteria, 58 underwent surgical exploration, and NSTI was confirmed in 25 (43%). The remaining 42 patients had either nonnecrotizing infections during surgical exploration (n = 33) or were treated nonoperatively with successful resolution of the symptoms (n = 9). The sensitivity of CT to identify NSTI was 100%, specificity was 81%, positive predictive value was 76%, and negative predictive value was 100%. No differences were found in demographics, white blood cell count on admission, symptoms, or site of infection between those with a false- or true-positive CT result. CONCLUSIONS: A negative CT result reliably excludes the diagnosis of NSTI. A positive CT result correctly identifies the disease with a high likelihood.
HYPOTHESIS: In contrast to previous beliefs, we hypothesize that computed tomography (CT) scanning is sensitive and specific for the diagnosis of necrotizing soft tissue infections (NSTIs). DESIGN: Retrospective and prospective case series. SETTING: Academic medical center. PATIENTS: Patients who were clinically suspected of having NSTIs from January 1, 2003, through April 30, 2009, and who underwent imaging with a 16- or 64-section helical CT scanner were studied. The CT result was considered positive if inflamed and necrotic tissue with or without gas or fluid collections across tissue planes was found. The disease (NSTI) was considered present if surgical exploration revealed elements of infection and necrosis of the soft tissues and pathological analysis confirmed the findings. The disease was considered absent if surgical exploration and pathological analysis failed to identify any of these findings or the patient was successfully treated without surgical exploration. MAIN OUTCOME MEASURES: Sensitivity and specificity of CT for diagnosing NSTI. RESULTS: Of 67 patients with study inclusion criteria, 58 underwent surgical exploration, and NSTI was confirmed in 25 (43%). The remaining 42 patients had either nonnecrotizing infections during surgical exploration (n = 33) or were treated nonoperatively with successful resolution of the symptoms (n = 9). The sensitivity of CT to identify NSTI was 100%, specificity was 81%, positive predictive value was 76%, and negative predictive value was 100%. No differences were found in demographics, white blood cell count on admission, symptoms, or site of infection between those with a false- or true-positive CT result. CONCLUSIONS: A negative CT result reliably excludes the diagnosis of NSTI. A positive CT result correctly identifies the disease with a high likelihood.
Authors: Charles M Psoinos; Julie M Flahive; Joshua J Shaw; Youfu Li; Sing Chau Ng; Jennifer F Tseng; Heena P Santry Journal: Surgery Date: 2013-02-27 Impact factor: 3.982
Authors: David H Ballard; Constantine A Raptis; Jarot Guerra; Laurie Punch; Obeid Ilahi; John P Kirby; Vincent M Mellnick Journal: AJR Am J Roentgenol Date: 2018-08-07 Impact factor: 3.959
Authors: Myriam Martinez; Thomas Peponis; Aglaia Hage; Daniel D Yeh; Haytham M A Kaafarani; Peter J Fagenholz; David R King; Marc A de Moya; George C Velmahos Journal: World J Surg Date: 2018-01 Impact factor: 3.352