There is no established diagnostic criteria or widely accepted severity classification of localized scleroderma (LS) by imaging. Acoustic radiation force impulse (ARFI) technology by normalized mean shear wave velocity (SWV) may be as a probing tool for diagnosing and staging LS accurately and objectively. Fifty‐six patients with LS of inflammatory (n = 21), sclerotic (n = 24) and atrophic (n = 11) stage and 30 healthy controls were evaluated on the basis of pathological results. Dermal thickness, ARFI quality (elastography score) and quantity (mean SWV) were measured by ultrasonography (US), diagnosis and stage performances of LS using the dermal thickness, elastography score and mean SWV compared with modified localized scleroderma skin severity index (mLoSSI) were evaluated. Significant differences in the dermal thickness, elastography score and mean SWV were found between the normal adult and LS patients; for diagnosing LS, the area under the receiver–operator curves (AUROC) of the dermal thickness, elastography score, mean SWV and mLoSSI were 0.93 ± 0.03, 0.95 ± 0.01, 0.93 ± 0.03 and 0.93 ± 0.02, respectively. Compared with the dermal thickness, the elastography score and mLoSSI, the AUROC and the specificities of mean SWV for differentiating sclerotic from inflammatory stage and atrophic from sclerotic LS increased significantly, especially by normalized mean SWV (AUROC, 0.84 ± 0.06 and 0.83 ± 0.07; specificity, 85.71% and 91.67%). As non‐invasive methods, mean SWV and dermal thickness by US may provide reliable information to diagnose and stage LS compared with mLoSSI especially by normalized mean SWV.

Objectives-To define ultrasound (US) features that help diagnose local recurrence (LR) and differentiate benign masses from LR chest wall masses after mastectomy in patients with breast cancer. Methods-The US and surgical records of 119 pathologically confirmed chest wall masses in 101 patients were reviewed from 4634 patients with breast cancer who underwent mastectomies. The chest wall masses were divided into 2 groups depending on their longitudinal diameter (LD; ≤10 and > 10 mm). The US features of the subgroups, depending on their nature (benign and LR), were analyzed and compared. Results-Among 119 masses, 58 (48.74%) were benign masses, and 61 (51.26%) were LR masses. For LR, the mean area under the curve AE SD, sensitivity, and specificity of US were 0.849 AE 0.033, 85.25%, and 84.48% (P < .001), respectively. Among the US characteristics, vascularity, an irregular shape, and a location in deep layers were the top 3 factors related to LR (odds ratios, 4.0, 2.6, and 2.2). To diagnose LR by US, judging the anatomic layer of the locations of masses with an LD of 10 mm or less and the presence of vascularity in masses with an LD of greater than 10 mm were helpful. Conclusions-Ultrasound is a relatively accurate and objective method to differentiate LR from a benign mass after mastectomy with follow-up. Judging the anatomic layer of the mass location with US likely increases the accuracy of LR diagnosis at an early stage.