Breast Cancer-Related Lymphedema (BCRL) and Bioimpedance Spectroscopy: Long-Term Follow-Up, Surveillance Recommendations, and Multidisciplinary Risk Factors.


Journal

Annals of surgical oncology
ISSN: 1534-4681
Titre abrégé: Ann Surg Oncol
Pays: United States
ID NLM: 9420840

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 20 04 2023
accepted: 06 07 2023
medline: 12 9 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: ppublish

Résumé

Early detection and intervention for breast cancer-related lymphedema (BCRL) significantly decreases progression to persistent BCRL (pBCRL). We aimed to provide long-term follow-up on our early detection with bioimpedance spectroscopy (BIS) and early home intervention demonstrating reduced pBCRL to guide surveillance recommendations. In total, 148 female patients with breast cancer who had axillary lymph node dissection (ALND) from November 2014 to December 2017 were analyzed. Baseline BIS measurements and postoperative follow-up occurred every 3 months for 1 year, biannual for 1 year, and then annually. An elevated BIS triggered evaluation and initiation of at-home interventions with reassessment for resolution versus persistent BCRL (pBCRL). High-risk factors and timing were analyzed. Mean follow-up was 55 months, and 65 (44%) patients had an abnormal BIS. Of these, 54 (82%) resolved with home intervention. The overall pBCRL rate was 8%. Average time to first abnormal BIS was 11.7 months. None of the stage 0 patients (0/34) and only 5/25 (20%) of stage 1 patients had pBCRL. All of stage 2 and stage 3 patients (7/7) had pBCRL. pBCRL correlated with number of positive nodes, percentage of positive nodes, stage of lymphedema at diagnosis, and recurring abnormal BIS measurements (p < 0.05). We have shown that patients undergoing ALND with early BCRL identified by BIS who performed home interventions had an 8% pBCRL rate. Patients at high risk for pBCRL should have routine surveillance starting at 9 months postoperatively to identify an opportunity for early intervention.

Sections du résumé

BACKGROUND BACKGROUND
Early detection and intervention for breast cancer-related lymphedema (BCRL) significantly decreases progression to persistent BCRL (pBCRL). We aimed to provide long-term follow-up on our early detection with bioimpedance spectroscopy (BIS) and early home intervention demonstrating reduced pBCRL to guide surveillance recommendations.
PATIENTS AND METHODS METHODS
In total, 148 female patients with breast cancer who had axillary lymph node dissection (ALND) from November 2014 to December 2017 were analyzed. Baseline BIS measurements and postoperative follow-up occurred every 3 months for 1 year, biannual for 1 year, and then annually. An elevated BIS triggered evaluation and initiation of at-home interventions with reassessment for resolution versus persistent BCRL (pBCRL). High-risk factors and timing were analyzed.
RESULTS RESULTS
Mean follow-up was 55 months, and 65 (44%) patients had an abnormal BIS. Of these, 54 (82%) resolved with home intervention. The overall pBCRL rate was 8%. Average time to first abnormal BIS was 11.7 months. None of the stage 0 patients (0/34) and only 5/25 (20%) of stage 1 patients had pBCRL. All of stage 2 and stage 3 patients (7/7) had pBCRL. pBCRL correlated with number of positive nodes, percentage of positive nodes, stage of lymphedema at diagnosis, and recurring abnormal BIS measurements (p < 0.05).
CONCLUSIONS CONCLUSIONS
We have shown that patients undergoing ALND with early BCRL identified by BIS who performed home interventions had an 8% pBCRL rate. Patients at high risk for pBCRL should have routine surveillance starting at 9 months postoperatively to identify an opportunity for early intervention.

Identifiants

pubmed: 37535267
doi: 10.1245/s10434-023-13956-9
pii: 10.1245/s10434-023-13956-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6258-6265

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2023. Society of Surgical Oncology.

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Auteurs

Elizabeth J Jeffers (EJ)

Division of Breast Surgical Oncology, Department of Surgery, University of Kansas Cancer Center, Kansas City, KS, USA.

Jamie L Wagner (JL)

Division of Breast Surgical Oncology, Department of Surgery, University of Kansas Cancer Center, Kansas City, KS, USA.

Sabrina S Korentager (SS)

Division of Breast Surgical Oncology, Department of Surgery, University of Kansas Cancer Center, Kansas City, KS, USA.

Kelsey E Larson (KE)

Division of Breast Surgical Oncology, Department of Surgery, University of Kansas Cancer Center, Kansas City, KS, USA.

Christa R Balanoff (CR)

Division of Breast Surgical Oncology, Department of Surgery, University of Kansas Cancer Center, Kansas City, KS, USA.

Jordan Baker (J)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.

Lynn Chollet-Hinton (L)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.

Lyndsey J Kilgore (LJ)

Division of Breast Surgical Oncology, Department of Surgery, University of Kansas Cancer Center, Kansas City, KS, USA. LKilgore@kumc.edu.

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