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Table 1 Appropriateness Ratings for Breast Diseases Indications

From: Radiological Society of North America (RSNA) 3D Printing Special Interest Group (SIG) clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: breast conditions

Clinical Condition

Rating

Rating driven by

References

Study Quality

(Additional file 1)

Number of patients combined

Number of patients in the largest series (reference)

Benign breast lesions & High-risk breast lesions

1

LA

0

NA

NA

NA

Malignant breast lesions

7

B

15, 16, 18–29

C2: 2

C3: 5

C4: 7

207

88

Breast reconstruction

8

B

30–40

C2: 3

C3: 2

C4: 6

222

116

Breast radiation (treatment planning and radiation delivery)

7

B

17, 42–48

C1: 1

C2: 3

C3: 2

C4: 3

123

30

  1. Literature appraisal = LA; Literature appraisal and Expert Opinion = B; Category = C; Not available = NA
  2. The “Rating driven by” column denotes if the primary decision for the condition’s rating was decided primarily through discussion of the available literature (LA), expert opinion (EO) or both (B). The “Study quality” column reflects the graded strength of evidence assessment according to ACR Appropriateness Criteria Evidence Document [2] (individual ratings available in Additional file 1). The highest/most robust level of evidence is ‘Category 1’ and the lowest is ‘Category 4’