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. 2021 Apr 7;11:567648. doi: 10.3389/fonc.2021.567648

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Copyright © 2021 Liu, Lan, Zhang, Wu, Cui, Li, Sun, Tian, Tian and Li

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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(A) The PTFM nomogram for predicting ALN status in the training set. (B) The ALNFM nomogram for predicting ALN status in the training set. Sin, Single; Mul, Multiple; O, Oval; R, round; Irr, Irregular; Par, Parallel; NP, Not parallel; Smo, Smooth; Lob, Lobulate; A, Angular; S, Spiculate; E, Enhancement; I, Indifferent; Sha, Shadowing; Abs, Absent; Pre, Preserved; N, Negative; P, Positive; NLNF, No lymph nodes found; LNF, Lymph nodes found; AR, Aspect ratio; T, Thickness; ST, Symmetric thickness; AT, Asymmetric thickness; PA, Partially absent; CA, Completely absent.