Table 4 Architectural distortion—-review of literature.
Name (year) | Lesions (number) | Exclusionsa | CNBs with cancer (%)b | Cancers that are IC (%) | ILC (%)c | Additional data for ICd | SCL w/o atypia(%) | Cancer upgrade (%) | Other benign findings (%) | Cancer upgrade (%) | ADH (%) | Cancer upgrade (%) | ALH/LCIS (%) | Cancer upgrade (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Venkatesan 12 (2009) | 373 | M, ca + + | 27% | 99% | NP | NP | NP | NP | NP | NP | NP | NP | NP | NP |
Bahl13 (2015)e | 369 | M, post surg | 75% | 96% | 25%f | NP | 12% | NPe | 13% | NPe | 1% | NPe | 0 | NA |
Bahl8 (2017) | 395 | M | 58% | 92% | 34% | NP | 30% | NP | 10% | NP | 2% | NP | NP | NP |
Vijapura14 (2018) | 84 | None | 69% | 95% | 25% | NP | 19% | 9%g | 7% | NP | NP | NP | NP | NP |
Alshafeiy9 (2018)h | 172 | M, post surg | 30% | 90% | 27% | NP | 9% | 0% | 57% | 13% | 5% | 50% | 0% | NA |
Pujara15 (2019) | 74 | M, ca + +, asymm, post surg | 35% | 85% | 41% | NP | 34% | 0% | 26% | 0% | 3% | 0% | 5% | 0% |
Walcott-Sapp16 (2019) | 116 | M, ca + +, US | 20% | 91% | 20% | Size, LNi | 22% | 0% | 51% | 0% | 4% | 0% | 3% | 50% |
Ambinder17 (2020)j | 151 | US | 18% | 78% | 62% | NP | 23% | 0% | 48% | 0% | 5% | 33% | 7% | NP |
Rochart6 (2020) | 148 | M, US | 14% | 67% | NP | NP | 36% | 0% | 39% | 21% | ≥1%k | 50% | ≥2% k | 34% |
Bachert (2021) | 588 (total cases) | None | 31% | 89% | 32% | Size, LN, grade, ER, PR, HER2, Stage | 24% | 1% | 33% | 8% | 4% | 33% | 6% | 32% |
365 (multi-feature) | None | 39% | 89% | 34% | Size, LN, grade, ER, PR, HER2, Stage | 19% | 1% | 42% | 16% | 4% | 50% | 5% | 18% | |
223 (single feature) | M, ca + +, US, MRI | 18% | 90% | 29% | Size, LN, grade, ER, PR, HER2, Stage | 31% | 0% | 51% | 0% | 10% | 16% | 7% | 33% | |
Summary of Results | 2470 | 40% | 92% | 34% | 22% | 1% (2 of 149))L | 28% | 10% (14 of 139)m | 2% | 37% (15 of 41)n | 2% | 31% (9 of 29)o |